The Internet of Things (IoT) is changing how we live, work, travel, and do business. It is even the basis of a new industrial transformation, known as Industry 4.0, and key in the digital transformation of organizations, cities, and society overall. Reason enough to understand the essence of the Internet of Things.
What is the Internet of Things, also known as IoT? You can find many definitions below. But let’s start simple. Look at it this way: people can connect to digital networks and the Internet with devices such as smartphones and computers, in order to share information, chat, buy, and so forth.
The Internet of Things essentially enables us to connect ‘things’ to the Internet (and to networks that use Internet technology). These things or items can exchange information between them and transmit data to other devices and systems. They can usually also received data. The information they share can be about objects to which they are attached and the environment they are in (through sensors that come in many shapes for different parameters). Smart devices and machines can also share information about their internal state.
So, they don’t play games or buy online but capture data, share it and, depending on the precise thing, can act upon data they receive. In other words: physical objects and lots of them, far more than there are people.
The physical things can dispose of embedded technologies enabling them to do all this (hence often called ‘smart’) or can be rather ‘dumb’ as such but get equipped/tagged to be connected. The Internet of Things is a collective term for these connected things, how they communicate and transmit data, the technologies enabling them to do so, and the reasons/goals why this is done.
The Internet of Things is the network of physical objects that contain embedded technology to communicate and sense or interact with their internal states or the external environment (Gartner’s definition)
While the Internet of Things starts with the infrastructure of connected things, both its benefits and risks are mainly related to the network technologies, systems, and applications built upon this underlying layer. In theory, anything can be connected to the Internet using IoT technologies: physical objects and living creatures, including animals and people as ‘beings’. All things or connected components of more complex physical objects can be uniquely identified and addressed via the Internet of Things.
Examples of things range from consumer-oriented devices such as wearables and smart home solutions (Consumer IoT) to connected equipment in the enterprise (Enterprise IoT) and industrial assets such as machines, robots, or even workers in smart factories and industrial facilities (Industrial IoT, the essential component of Industry 4.0).
The question is not what you can connect but why you would do so: the purpose, the outcomes. And here is well there are a lot of potential goals which determine what things you want to connect so you can capture data from them (and have sent from, between and/or to them). That’s why often you’ll see distinctions being made between Industrial IoT, Consumer IoT and far more terms which are mentioned in this overview.
- The Internet of Things in context
- The Internet of Things is a reality in business and beyond
- The origins of the Internet of Things: how it all started
- What is IoT? Internet of Things definitions
- The exponential growth of the Internet of Things
- The Internet of Things: many terms and many flavors
- The Industrial Internet of Things (IIoT)
- The Consumer Internet of Things (CIoT)
- Internet of Things in business: the Internet of Everything (IoE)
- Internet of Things and robots: the Internet of Robotic Things (IoRT)
- Internet of Things business across industries: sectors and use cases
- Internet of Things projects and examples
- IoT technology: cloud, fog computing and edge computing
- IoT device technologies: sensors and actuators
- IoT gateways
- Connectivity and network technologies
- Internet of Things platforms
- The Internet of Things and IPv6
- Internet of Things and the Internet of Services
- Internet of Things and security
- Internet of Things and regulations
- Distributed ledger technology: blockchain and the Internet Of Things
- Internet of Things, artificial intelligence and machine learning
- IoT in business context: sell/realize the use case and outcome
- How important is the Internet of Things really?
- Internet of Things FAQ
So, IoT is an umbrella term with many use cases, technologies, standards and applications. Moreover, it’s part of a bigger reality with even more technologies. The things and data are the starting point and essence of what IoT enables and means. IoT devices and assets are equipped with electronics, such as sensors and actuators, connectivity/communication electronics and software to capture, filter and exchange data about themselves, their state and their environment.
The connection of IoT ‘things’ and usage of IoT data enables various improvements and innovations in the lives of consumers, in business, healthcare, mobility, cities and society. The potential goals of IoT are often segmented into IoT use cases: reasons for which IoT is deployed. Examples: health monitoring, asset tracking, environmental monitoring, predictive maintenance and home automation.
There are hundreds of IoT use cases, depending on the industry and/or type of application. Some IoT use cases exist across industries, others are more vertical. An example: asset tracking is a universal use case. It could be a consumer application to know where your pet or skateboard is. But it could also mean tracking containers on a huge cargo ship. Same basic principle, a world of difference regarding technologies and context.
Worldwide spending on the Internet of Things (IoT) is forecast to pass the $1.0 trillion mark in 2022, reaching $1.1 trillion in 2023 (IDC)
IoT is an essential driver for customer-facing innovation, data-driven optimization and automation, digital transformation, R&D and entirely new applications, business models and revenue streams across all sectors. In this IoT business guide you can learn about the origins, technologies and evolutions of IoT with business examples, applications and research.
The Internet of Things is the logical next step in the evolution of the Internet and is a continuation of M2M (machine-to-machine) networks and technologies, building upon and extending technologies in M2M, mobile technologies, RFID and more.
IoT stretches further than these roots while encompassing them and became ever more popular due to several factors, including the lower costs of sensors and enabling technologies and networks.
The Internet of Things converges industries and business areas, uniting Information Technology and Operational Technology (IT and OT) and contributing to industrial transformation (Industry 4.0) and a wave of use cases in the Industrial IoT or IIoT , the largest segment of IoT applications and investments. The main areas of Internet of Things investments (industries and use cases) include manufacturing operations, transportation, smart grid technologies, smart buildings and, increasingly, consumer Internet of Things, smart home automation and retail.
The Internet of Things in context
IoT is also an umbrella term for a broad range of underlying technologies and services, which depend on the use cases and in turn are part of a broader technology ecosystem which includes related technologies such as artificial intelligence, cloud computing, next-gen cybersecurity, advanced analytics, big data, various connectivity/communication technologies, digital twin simulation, augmented and virtual reality, blockchain and more.
From a business perspective ecosystems, in the broad sense of partnerships, collaborations, channel partnerships, alliances and ecosystems of innovation/collaboration are also key to IoT.
The interconnection of physical devices with embedded sensing and communication possibilities, including sensors and actuators, is not new and has a long history in the sense of M2M networks of which it is a next and broader step. In the Internet of Things, physical endpoints are connected through uniquely identifiable IP addresses; whereby data can be gathered, aggregated, communicated and analyzed (increasingly at the edge of the network: edge computing and fog computing) via embedded electronics and software, IoT nodes and IoT gateways, additional connectivity technologies and the cloud, networks and IoT platforms with a growing integration of AI, IoT and other technologies such as blockchain.
The Internet of Things is the interconnection of endpoints (devices and things) which can be uniquely addressed and identified with an IP (Internet Protocol) address. With the Internet of Things, devices can be connected to the Internet, sense, gather, receive and send data and communicate with each other and applications via IP technologies, platforms and connectivity solutions.
IoT is an additional layer of information, interaction, transaction and action which is added to the Internet thanks to devices, equipped with data sensing, analysis and communication capabilities, using Internet technologies. The Internet of Things further bridges digital and physical realities and powers information-driven automation and improvements on the level of business, society and people’s lives.
Captured, aggregated and analyzed data are leveraged for several use cases, including maintenance, human, semi-autonomous and autonomous decisions (whereby data flows don’t just come from IoT- enabled devices but also are exchanged between them, occur within them or are sent to them in the form of instructions), scientific research, real-time monitoring, data exchanges, new business models and far more.
The Internet of Things is a reality in business and beyond
In several industries and companies, tangible value creation by leveraging the power of IoT is happening since quite some time as ample real-life IoT examples show.
However, it will still take until long after 2020 before hype, roadblocks and misunderstandings regarding the Internet of Things fade away and uncertainties and challenges in several areas are solved. Moreover, a radical new approach to security will be needed, especially since organizations see themselves forced to go beyond cybersecurity across all their digital initiatives and data protection efforts, embracing a holistic cyber resilience approach with IoT significantly expanding the attack surface.
To understand the benefits, value, context and even technologies of IoT it’s important to look at examples across various applications and industries.
Although IoT is often approached as if it were a ‘thing’ as such one needs to understand the differences from an applications perspective in areas such as the Industrial Internet of Things, the Consumer Internet of Things and, beyond these ‘flavors’ and terms, the mentioned IoT use cases.
The usage of the Internet of Things happens at different speeds. IoT investments in the manufacturing industry, for instance, are far higher than in any other vertical industry and in the Consumer Internet of Things (CIoT) space (more about IoT in manufacturing).
This is poised to change although globally manufacturing will still account for the majority of IoT spend (hardware, software, services and connectivity).
The manufacturing industry, along with transportation and utilities are the three main IoT investment areas and are part of what is known as the Industrial Internet of Things.
The Internet of Things as an evolving reality
Despite challenges, different speeds and the fast evolutions which we will see until the first years of the next decade, the Internet of Things is here.
In business and industry, there are thousands of Internet of Things use cases and real-life Internet of Things deployments across a variety of sectors with the three industries which we just mentioned accounting for a more than significant part of deployments and investments as the image on the right shows.
In the consumer space there are many thousands of devices and applications for a broad variety of purposes.
Predictions regarding the economic impact, sub segments, technologies and number of IoT-connected devices keep evolving as well.
Even if for most people the number of IoT devices is not a relevant metric, it’s the one that gets most attention. Over the past few years predictions regarding the number of IoT devices has been reviewed downwards.
It has taken over two decades for the ‘concept’ of the Internet of Things to become a reality that is impacting and will impact many areas of business and society as we will see further.
Despite being a reality, the Internet of Things in general is still in its early days, regardless of massive attention, impressive forecasts and numbers, and major evolutions and deployments in many areas. However, if you look at the overall potential of IoT we are really just starting.
Standards, technologies, maturity levels, devices and applications continue to evolve as various actors in the IoT ecosystem come up with platforms, new data analysis models and even evolving definitions and views to make IoT projects better and smarter. At the same time, challenges regarding regulation, security and data are being tackled – and even a universal IoT definition is still being debated.
The origins of the Internet of Things: how it all started
The idea of the Internet of Things goes back quite some time. We can even go back a very long time but will begin at the end of the previous Millenium where RFID has been a key development towards the Internet of Things and the term Internet of Things has been coined in an RFID context (and NFC), whereby we used RFID to track items in various operations such as supply chain management and logistics.
The roots and origin of the Internet of Things go beyond just RFID. Think about machine-to-machine (M2M) networks. Or think about ATMs (automated teller machine or cash machines), which are connected to interbank networks, just as the point of sales terminals where you pay with your ATM cards. M2M solutions for ATMs have existed for a long time, just as RFID. These earlier forms of networks, connected devices and data are where the Internet of Things comes from. Yet, it’s not the Internet of Things.
The role and impact of RFID
In the nineties, technologies such as RFID, sensors and a few wireless innovations led to several applications in the connecting of devices and “things”.
Most real-life implementations of RFID in those days happened in logistics, warehouses and the supply chain in general. However, there were many challenges and hurdles to overcome, as we covered end 1999 in a white paper for a Belgian RFID specialist who targeted the logistics industry (mainly warehousing and industrial logistics as RFID was still expensive).
Gradually, the use of RFID (and along with it, several NFC or “near field communication”, wireless technologies), became popular in areas beyond logistics and supply chain management: from public transport, identification (from pets to people), electronic toll collection (see image), access control and authentication, traffic monitoring, retail to – back then – innovative forms of outdoor advertising. That growing usage was, among others, driven by the decreasing cost of RFID tags, increasing standardization and NFC.
From RFID and M2M to IoT
The possibility of tagging, tracking, connecting and “reading” and analyzing data from objects went hand in hand with what would become known as the Internet of Things around the beginning of this Millenium.
It was obvious that the connection of the types of “things” and applications – as we saw them in RFID (and in M2M and more) – with the Internet would change a lot. It might surprise you but the concepts of connected refrigerators, telling you that you need to buy milk, the concept of what is now known as smart cities and the vision of an immersive shopping experience (without bar code scanning and leveraging smart real-time information obtained via connected devices and goods) go back since before the term Internet of Things even existed.
Again, it took a long time. Furthermore, we shouldn’t reduce the Internet of Things to just these popular and widely known concepts, even if consumer-related attention for IoT without a doubt has led to the grown attention for it as you’ll read further.
How the Internet of Things was coined in a context of RFID
According to the large majority of sources, the term Internet of Things was coined in 1999 by Kevin Ashton, the co-founder of the MIT’s Auto-ID Center where a standard was developed for RFID, primarily from a retail perspective.
RFID existed years before talked about the Internet of Things as a system, connecting the physical world and the Internet via omni-present sensors. It also already existed when he co-founded the Auto-ID Center (now called the Auto-ID labs) at MIT.
Ashton, who was a marketer at P&G, wanted to solve a challenge he had seen before as Wired reports: empty shelves for a specific product. When shelves are empty, obviously no one can buy what’s supposed to be there. It’s a typical problem of logistics and supply chain. Ashton found the solution in RFID tags, which were still far too expensive to be able to put them on each product. When the MIT Auto-ID Center was launched, funded by the major global retail brands who understood the challenge and obvious benefits of a solution, he was ‘loaned’ by P&G and became the executive director at that Center as Wired explains.
The rest is a standard system, solving miniaturization challenges, lowering RFID tags prices and…history.
What is IoT? Internet of Things definitions
The Internet of Things is the interconnected sphere of physical devices with the Internet and other networks through uniquely identifiable IP addresses, whereby data is gathered and communicated through embedded sensors, electronics and software.
Physical devices are either designed for the Internet of Things or are assets, including living beings, which are equipped with data sensing and transmitting electronics. Beyond this endpoint dimension with devices, sensors, actuators and communication systems, the Internet of Things is also used to describe what is effectively done with the data acquired from connected things.
The Internet of Things describes a range of applications, protocols, standards, architectures and data acquisition and analysis technologies whereby devices and items (appliances, clothes, animals,….) which are equipped with sensors, specifically designed software and /or other digital and electronic systems, are connected to the Internet and/or other networks via a unique IP address or URI, with a societal, industrial, business and/or human purpose in mind. As you can read below, data and how they are acquired, analyzed and combined into information value chains and benefits are key in it. In fact, the true value of the Internet of Things lies in the ways it enables to leverage entirely new sources and types of data for entirely new business models, insights, forms of engagement, ways of living and societal improvements.
Internet of Things is an umbrella term and, as mentioned, often a distinction is made between the Consumer Internet of Things (CIoT) and the Industrial Internet of Things (IIoT). We cover both below as they are still often used. However, CIoT and IIoT cover many use cases and applications as well and thus are umbrella terms too. Furthermore, there are overlaps between both.
We see the Internet of Things more from an Internet of Everything perspective, which is again part of a broader context. What this means is explained further below. The Internet of Things is not a thing. Data which is acquired, submitted, processed or sent to devices, in most cases travels across the Internet, fixed lines, across cloud ecosystems or via (tailored) wireless connectivity technologies which are developed for specific applications of IoT (e.g. wireless technologies for the IIoT).
Bridging digital, physical and human spheres through networks, connected processes and data, turned into knowledge and action, is an essential aspect in this equation. In recent years the focus in the Internet of Things has shifted from the pure aspect of connecting devices and gathering data to this interconnection of devices, data, business goals, people and processes, certainly in IIoT.
Common elements in IoT
Most IoT definitions have several aspects in common. Here are the elements they have in common:
Internet of Things Connectivity
All IoT definitions include the connectivity and network aspect: a network of things, devices, sensors, objects and/or assets, depending on the source.
It’s pretty clear that a dimension of networks and connectedness, we would even say hyper-connectedness, needs to be present in any decent IoT definition. There are several IoT connectivity and network protocols and standards, both wireless and fixed. In most real-life IoT projects it’s a combination. Connectivity happens on all levels: at a very close range (e.g. between devices), further away (e.g. between devices and the cloud) or at very large distances. Connectivity standards are also different, depending on the power that is needed and the volumes of IoT data transmitted, adding to the broad range of standards and solutions. Connectivity in the sense of connected devices is the start, connected data is where the value starts.
The Things in the Internet of Things
IoT-enabled assets, devices, physical objects, sensors, anything connected the physical world, appliances, endpoints, the list goes on.
They are all terms to describe what is an essential part of a network of things. Some add words such as smart or intelligent to the devices. Let’s say that they contain technology that grants them an additional capability of ‘doing something’: measuring temperature or moisture levels, capturing location data, sensing movement or capturing any other form of action and context that can be captured and turned into data. IoT devices need to be managed. That’s where IoT device management comes in: it enables the onboarding, configuration and overall management of IoT devices. IoT device management can be simple (e.g. in consumer applications) and be done using cloud platforms with IoT device management features or proprietary vendor solutions. It can also be complex. As IoT platforms become ever more important often IoT device management is handled on this level as device management is one of the key components of such a platform. Other components of an IoT platform include IoT data management, access control and application (development) enablement. More in this MachNation IoT platform overview. Additionaly, as edge computing becomes more important also take a look at IoT device management at the edge as explained in the MachNation IoT edge scorecard.
The Internet of Things and Data
This is part of that intelligent notion but it also brings us far closer to the essence.
You can define the Internet of Things by simply describing all characteristics (“what it is”) but you also need to look at its purpose (“the why”). Data is a crucial part of this equation, albeit just a first step as data as such is not enough. However, there is no Internet of Things without (big) data.
Communication in the Internet of Things
Data as such is maybe not without value but it sure is without meaning unless it is used for a purpose and it is turned into meaning, insights, intelligence and actions.
Maybe you heard about the good old DIKW model (from data to information to knowledge to wisdom – and action)? Well, the data gathered and sensed by IoT devices needs to be communicated in order to even start turning it into actionable information, let alone knowledge, insights, wisdom or actions.
Internet of Things, Intelligence and action
We just touched upon this aspect. However, in most definitions we see that intelligence is attributed to just the network(s) and/or the devices.
While we certainly need, for instance, ‘intelligent networking technologies’ in many cases and while connected devices have a capacity of action, the real intelligence and action sits in the analysis of the data and the smart usage of this data to solve a challenge, create a competitive benefit, automate a process, improve something, whatever possible action our IoT solution wants to tackle. Just as there is no Internet of Things without (big) data, there is no useful Internet of Things deployment without understanding meaning, intelligence, (big) data analytics, cognitive and AI and so on.
There is always a degree of automation, no matter the scope of the project or the type of Internet of Things application. In fact, most IoT applications are essentially all about automation. And that often comes with costs and benefits. Industrial automation, business process automation or the automatic updating of software: it all plays a role, depending on the context. You know the saying: software eats the world. Well, it also drives Tesla cars and soon autonomous vehicles whereby maintenance, upgrades and so forth are all about automation and software, powered by data which are fed by sensors and connected devices.
Meaning and hyper-connectedness is what we miss in many answers on the questions regarding what the Internet of Things is.
We stay too descriptive and focused on just the technologies and don’t look at purpose and intelligent action enough. Obviously we can say that this isn’t strictly about the Internet of Things but more about the Internet of Everything or the Internet of Things ecosystem or something else but for us it’s key in order not to confuse the Internet of Things with a bunch of fitness devices that are connected with some app, for instance. Because, although these are the kinds of apps most people speak about, they certainly are where the majority of Internet of Things use cases are and they are the furthest away from the original meaning of the Internet of Things.
The Internet of Things in flux
While the above mentioned elements come back in all Internet of Things definitions there are a few we miss that are essential in the evolving views regarding the Internet of Things as it moves from devices and data to outcomes and actionable intelligence, and ultimately to a hyper-connected world of digital transformation (DX) and business.
The aspect of hyper-connectivity and integration often lacks. In a context of a reality whereby devices, people, processes and information are more interconnected than ever before; an Internet of Things definition and approach just needs to mention these aspects as the Internet of Things is part of something broader and is more about data, meaning and purpose than about objects. A key element of that hyper-connectivity in the Internet of Things sphere is that sometimes mentioned ongoing bridging of digital and physical environments, along with human environments, processes and data as the glue, enabler and condition to create value when properly used for connected purposes.
Then there is also the possibility to create new ecosystems where connected device usage by groups of people can lead to new applications and forms of community ecosystems. Last but not least and we’ve mentioned this often before: no Internet of Things without security.
Virtually everyone agrees that in the next decade, in 2020 and beyond, we will decreasingly speak about the Internet of Things.
The Internet of Things is a misnomer in two senses.
- First, the things don’t describe the essence of what it truly means and make it seem like a thing that is composed of connected things. However, as said it is not a thing as it’s often referred to in popular media. On top of covering a vast connected ecosystem of myriad technologies, platforms and other components as such, the Internet of Things also fits in a technological and organization context whereby actionable intelligence is at the core of human and business value creation opportunities. The Internet of Things has no purpose nor means to exist without all these aspects.
- Secondly, after years of future visions around very old concepts and ideas such as connected refrigerators, the current fascination with the possibilities that arise as a result of connecting ‘things’, the ‘connected things’ aspect will move to the back and IoT will be seen just as we look at the Internet today: an obvious phenomenon of increased connectivity that is like electricity. What is behind it, the sensors, the devices, the protocols, the essential possibilities, will not matter, except to people who need to realize Internet of Things projects in real life and watch over the technology aspect within frameworks of regulations, meaning and security.
The question and evolution increasingly will not be about the Internet of Things but about the broader digital transformation economy picture with outcomes and integration in mind and de facto overlapping sets of technologies being a given.
What is IoT? A visual answer
To end this part on definitions and descriptions, here is a good illustration of the vast reality of the Internet of Things – and at the same time an illustration of what it means.
The top right section clearly shows the Internet of Things: smart objects with an IP address which can sense (depending on use case, gather data on various parameters such as location, temperature, moisture level and dozens of more possibilities). This data gets sent for processing or analyzed at the source.
The upper left section is the ‘Internet of People’. Think about everything you use to connect with the Internet, such as your smartphone. It’s in the meeting of this sphere and the Internet of Things that most Internet of Things consumer applications today get born. Several so-called Consumer IoT (CIoT) applications such as wearables can’t live without smartphones. Moreover, for several control and monitoring activities you’ll need some sort of device such as a tablet, for example in a smart home context.
The sphere at the bottom of the image is composed of all connected objects that do not have an IP address and do not belong to the Internet of Things. They exist since a long time, mainly in the sphere of industrial Internet and we see them migrate to the Industrial Internet of Things (IIoT). Replacing such devices or tagging them so they become IoT-enabled is a part of what happens in IIoT.
The definition of the Internet of Things: an evolving reality
The definition of the Internet of Things is in evolution in several ways:
- Industry bodies are updating Internet of Things definitions and descriptions in a field that is still lacking standardization.
- The market is evolving and changing views and definitions as well. Whether it concerns analysts or companies, which are very active in the IoT space: many of them have invented their own terms.
- There is a shift in the way we think about the Internet of Things. You can define things based upon what they are and what they are not. You can also define them by focusing on their characteristics. And, as far as we’re concerned the most important question to answer in a definition: why and how do we use “something”?
- We look less at the ‘things’ and technologies of the Internet of Things and more at the broader reality and context in which the Internet of Things fits. The many use cases and the focus on outcomes (services) become more essential.
While the Internet of Things – and we weigh our words – as a ‘reality’ has benefits and consequences many can’t grasp yet, we need to change the narrative and look at IoT from the holistic perspective of:
- How it is connected with people, processes, data, business, innovation, meaning, etc.
- The outcomes and goals from an integrated view, with regards to ecosystems of value, of related technologies and of business and platform ecosystems.
IoT definition: IoT as the rebranded and renewed M2M
In the Summer of 2017 we had an interview with Nicolas Windpassinger who was about to release a book on the Internet of Things, entitled ‘Digitize or Die’. In his IoT book, Windpassinger looks at technologies, strategies and the transformational impact of the Internet of Things.
The Internet of Things definition he gives in ‘Digitize or Die’ is as follows: the Internet of Things is “a global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies“. If you’ve been learning or reading about IoT you might recognize that definition. It is indeed the Internet of Things definition as it was published in Recommendation ITU-T Y.2060, which goes back to 2012.
That’s quite some time after Kevin Ashton coined the term Internet of Things (1999) but just as the roots of Ashton’s 1999 article about his coining the Internet of Things are to be seen in the previously mentioned context of RFID, sensors and machine-to-machine communications and so forth which have been existing in business since a long time, Nicolas writes how the Internet of Things is also often, among others, called machine-to-machine, machine-to-infrastructure, the Internet of Intelligent Things and Smart “Something”. For Nicolas, IoT is machine-to-machine or M2M, but then rebranded and renewed. In other words: IoT does have a history and knowing it does help in better understanding IoT and its many aspects and, indeed, definitions. Yet, more about that later.
Working towards a universal IoT definition
The Internet of Things fits in – and requires – a context of integration, hyper-connectedness, digital transformation and certainly actionable data and information so it’s more than that big connected ‘thing’ we all talk about it.
Yet, as mentioned it’s important to speak the same language. That’s also what the people at the IEEE think. This association (IEEE stands for Institute of Electrical and Electronics Engineers), which was founded in 1963 is known for its exhaustive work in regards with standards in technologies.
Via a special Internet of Things page on the website of the IEEE where members can join in contributing to the, quote, “ever-changing definition of IoT” you can download the latest version (PDF, no registration) of “Towards a Definition of the Internet of Things”, as revised and published on May 27th 2015.
It is 86 (!) pages long. Of course it doesn’t just strictly cover an IoT definition, it provides a huge overview of considerations, evolutions, specifications and various aspects in regards with the Internet of Things ecosystem and the technological and social aspects of the Internet of Things as depicted below. It even dives deep into questions such as what are ‘things’ in an Internet of Things ecosystem view.
The exponential growth of the Internet of Things
As we saw earlier the Internet of Things still has a long way to go and the growth of connected devices or “intelligent things” will continue to rise exponentially over the coming years, as multiple challenges get solved.
In that sense it is safe to say that, despite the fact that we’ve been talking about the Internet of Things for a long time and the fact that IoT in many industries is a reality, we are still in the early years. Although it is expected that, as a term and concept, the Internet of Things will dissapear and just become part of a new normal, we are far from there. Note, however, that in a business context it’s best to focus on goals and use cases when trying to get projects accepted and done than to speak about the IoT.
With the exponential growth, enabled by what Gartner would call a “nexus of forces”, comes growth in many other areas such as traffic, storage, processing capacity, data volumes, network capabilities, you name it.
The Internet of Things exists in many industries, applications and contexts. Some projects are still in the pilot stage while others form the backbone of important processes, operations and innovations. In other words: the Internet of Things is certainly here but the degree in which it is changing the ways we live, work and conduct business depends on the context.
Predictions on the number of connected devices – a changing picture
The exact predictions regarding the size and evolution of the Internet of Things landscape tend to focus on the number of devices, appliances and other ‘things’ that are connected and the staggering growth of this volume of IP-enabled IoT devices, as well as the data they generate, with mind-blowing numbers for many years to come.
It makes it look as if the Internet of Things is still nowhere. Make no mistake though: it is already bigger than many believe and used in far more applications than those which are typically mentioned in mainstream media.
At the same time it is true that the increase of connected devices is staggering and accelerating. As we wrote the first edition of this Internet of Things guide, approximately each single hour a million new connections were made and there were about 5 to 6 billion different items connected to the Internet. By 2020, Cisco expected there would be 20 billion devices in the Internet of Things. Estimations for 2030 went up to a whopping 50 billion devices and some predictions were even more bullish, stating that by 2025 there will be up to 100 billion devices.
The truth is that we will have to wait and see and that by the time we have written about recent predictions, new ones are already published. Moreover, different research means different numbers and it is important to distinguish between IoT devices, IoT endpoints and connected devices although often IoT devices and connected devices are often used interchangeably.
When we first wrote this overview Gartner estimated that by 2020 we would live in a world with over 26 billion connected devices. As the image below indicates Cisco back then predicted that 37 billion intelligent things would be connected to the Internet by 2020 (earlier the company talked about 50 billion) and some even went over 200 billion. At the end of 2016 forecasts ranged anywhere between 20 and 30 billion connected (IoT-enabled) devices in 2020.
According to Juniper Research (data end 2016), the number of connected IoT devices, sensors and actuators will reach over 46 billion in 2021.
A variety of sources and predictions in context
Regardless of the exact numbers, one thing is clear: there is a LOT that can still be connected and it’s safe to assume we’ll probably reach the lower numbers of connected devices (20-30 billion) in 2020.
The variety of sources and pace at which data about the expected number of connected devices is released is so big that we plan a section with forecasts from several sources, nicely dated, so you can stay up-to-date.
There are several reasons why these predictions differ so much. Among them are certainly various uncertainties and challenges regarding the Internet of Things which are further fueled by impactful events regarding among others security and privacy. And then there is the fact that the Internet of Things obviously also gets hyped by those who have an interest in doing so (such as companies selling Internet of Things solutions). This doesn’t mean that the Internet of Things is a hype as such (it has been at the beginning of this Millennium). However, the realities, data and even definitions regarding Internet of Things are so vast that all predictions are really merely attempts, often fitting in a hypish perspective.
Impact, data and outcomes before devices
Moreover, it’s not that much the growth of connected devices which matters but how they are used in the broader context of the Internet of Things whereby the intersection of connected and IP-enabled devices, big data (analytics), people, processes and purposeful projects affect several industries.
Also the data aspect is critical (again with mind-blowing forecasts) and how all this (big) data is analyzed, leveraged and turned into actions or actionable intelligence that creates enhanced customer experience, increased productivity, better processes, societal improvements, innovative models and all possible other benefits and outcomes. The impact of the IoT from a sheer data volume and digital universe perspective is amazing.
The IoT data deluge also has an impact on IT infrastructure. While several more recent technologies (e.g. edge computing and IoT), devices and software (e.g. IoT gateways moving towards the edge and the latest generations of IoT platforms, specifically IoT edge platforms) help tackle this challenge, they certainly won’t be enough.
Expect artificial intelligence, big data analytics and ever more computing power to play an increasing role, at the edge and across the end-to-end projects, as we’re really just at the beginning of that IoT data deluge. And that’s not all: as is the case with data overall, most collected IoT data are not used or fully exploited and often sit and wait for the right use case in which they can fit. This will increase the IoT data deluge even further.
According to 2017 research from 451 Research the IoT data storm for now mainly leads to increasing investments in storage infrastructure, network edge/perimeter equipment and server infrastructure. Yet, while companies are processing IoT workloads at the edge today to improve security, process real-time operational action triggers, and reduce IoT data storage and transport requirements as the company found, this will change fast.
Reasons for the exponential growth of the Internet of Things
So, why this exponential growth of the Internet of Things and, admittedly, equally exponential growth of the attention for it, sometimes feeling like a hype?
Well, first of all Internet of Things today is effectively hyped (yet, at the same time very real). Gartner’s Hype cycle for emerging technologies shows that the Internet of Things is at the peak of inflated expectations (while NFC is reaching the slope of enlightenment).
There are numerous reasons for the growing attention for the Internet of Things. While you will often will read about the decreasing costs of storage, processing and material or the third platform with the cloud, big data, smart (mobile) technologies/devices, etc. there certainly is also a societal/people dimension with a strong consumer element.
A factor that has also contributed a lot to the rise of the Internet of Things, certainly in a context of the industrial Internet of Things and smart buildings, to name a few, is the convergence of IT and OT (Operational Technology) whereby sensors, actuators and so forth remove the barriers between these traditionally disconnected worlds.
The Internet of Things: many terms and many flavors
As companies increasingly started investing in Internet of Things technologies and scalable Internet of Things deployments instead of just pilot projects it quickly became clear that the Internet of Things as a term covered completely different realities which have little in common.
The majority of the Internet of Things hype focused on consumer-oriented devices such as wearables or smart home gadgets. Yet, we can’t repeat it enough, there is a huge difference between a personal fitness tracker and the usage of IoT in industrial markets such as manufacturing where the IoT takes center stage in the vision of Industry 4.0 (you can for instance think about IoT-connected or IoT-enabled devices such as large industrial robots or IoT logistics systems).
That’s why a distinction was made between the Industrial Internet of Things and the Consumer Internet of Things to begin with. However, here as well there were overlaps and in the end difficulties as always when you start segmenting realities. A broad range of new terms were invented to explain various existing and emerging forms of Internet of Things usage: the Internet of Robotic Things, the Internet of Medical Things, the list goes on.
At the same time some vendors of Internet of Things solutions started coming up with alternative terms. The best known one is Cisco’s Internet of Everything, which aimed to stress the role of people, data, processes etc. While all these (and many more) efforts tried to make the Internet of Things more tangible in the end we see that since 2016-2017 most people and firms (including Cisco) simply start talking about the IoT again. The usage of the term Industrial Internet of Things (or Industrial Internet) is also making place for the broader context of Industry 4.0 of which the Internet of Things is a part of the reality which we described.
A deeper look at some of these main Internet of Things ‘subsets’
The Industrial Internet of Things (IIoT)
The Internet of Things, the Internet of Everything, the Consumer Internet of Things, so many terms that it becomes confusing.
The main value and applications are found in the so-called Industrial Internet of Things or IIoT. In all honesty one of the main reasons why we started talking about the Industrial Internet of Things is to distinguish it from the more popular view on the Internet of Things as it has becoming increasingly used in recent years: that of the consumer Internet of Things or consumer electronics applications such as wearables in a connected context or smart home applications.
Industrial Internet of Things definition
The Industrial Internet of Things is defined by the Industrial Internet Consortium as ‘machines, computers and people enabling intelligent industrial operations using advanced data analytics for transformational business outcomes” as you can also see in the infographic below.
What industries are covered? Some people mainly look at ‘heavy’ industries such as manufacturing, oil and gas, transportation. Others also add ‘less heavy’ smart city or smart agriculture applications into account. Sometimes there is a bit a thin line because of course you can also have very simple applications in smart cities.
What is crucial in the Industrial Internet of Things or IIoT is the mentioned integration (of the worlds of) IT (information technology) and OT (operational technology).
For now, IIoT is the most important segment in the Internet of Things, much more than consumer applications, for instance.
Industrial Internet of Things use cases, benefits and challenges
The Industrial Internet of Things is related with Industry 4.0: all Internet of Things applications in Industry 4.0 are forms of IIoT but not all IIoT use cases are about the industries which are categorized as Industry 4.0.
Typical use cases of the Industrial Internet of Things include smart lightning and smart traffic solutions in smart cities, intelligent machine applications, industrial control applications, factory floor use cases, condition monitoring, use cases in agriculture, smart grid applications and oil refinery applications.
So, even if the term is not so much an umbrella term as the Internet of Things is, it still covers many potential applications and use cases.
A lot of organizations are considering IIoT applications and many have already started, certainly in early moving markets such as manufacturing or oil and gas. But others are still waiting or uncertain.
According to research from IDG in 2016, 70 percent of organizations are still in the “consideration”, “early discussions” or “planning phase” as the infographic below indicates.
And this despite the many opportunities, among others in regards with business continuity, efficiency, cost reductions etc.
But there are also many challenges, not in the least in regards with industrial data.
The Consumer Internet of Things (CIoT)
Give or take 5 years ago, consumers rarely saw what the Internet of Things would mean to their private lives. Today, they increasingly do: not just because they are are interested in technology but mainly because a range of new applications and connected devices has hit the market.
These devices and their possibilities are getting major attention on virtually every news outlet and website that covers technology. Wearables and smart watches, connected and smart home applications (with Google’s Nest being a popular one but certainly not the first): there are ample of you know the examples
Although it is said that there is some technology fatigue appearing, the combination of applications in a consumer context and of technology fascination undoubtedly plays a role in the growing attention for the Internet of Things. That consumer fascination aspect comes on top of all the real-life possibilities as they start getting implemented and the contextual and technological realities, making the Internet of Things one of those many pervasive technological umbrella terms. Obviously, the Consumer Internet of Things market is not just driven by new technology fascination: their manufacturers push the market heavily as adoption means news business possibilities with a key role for data.
The Consumer Internet of Things and consumer electronics
With the Consumer Internet of Things we are strictly in a consumer electronics reality.
While some of the applications in this space already are popular (fitness and personal health, for instance), the real growth still needs to come.
Below are some consumer electronics challenges to tackle first:
- Smarter devices. Consumers are waiting for smarter generations of wearables and Internet of Things products, which are able to fulfil more functions without being too dependent from smartphones, as is the case with many of such devices today (think the first generations of smartwatches, which need a smartphone).
- Security. Consumers don’t trust the Internet of Things yet, further strengthened by breaches and the coverage of these breaches. Moreover, it’s not just about the security of the devices but also about, among others, the security of low data communication protocols (and Internet of Things operating systems). An example: home automation standard Zigbee was proven easy to crack in November 2016.
- Data and privacy. On top of security concerns, there are also concerns regarding data usage and privacy. The lack of trust in regards with data, privacy and security was already an issue before these breaches as we cover in our overview of the consumer electronics market evolutions.
- A “compelling reason to buy”. The current devices which are categorized as Consumer Internet of Things appliances are still relatively expensive, “dumb” and hard to use. They also often lack a unique benefit that makes consumers massively buy them.
The Consumer Internet of Things market: focus on experiences and benefits
Whereas the focus of the Industrial Internet of Things is more on the benefits of applications, the Consumer Internet of Things is more about new and immersive customer-centric experiences.
It is expected that the market will really start picking up as of end 2017 or 2018, when the Consumer Internet of Things will grow rapidly across several types of devices and applications, once manufacturers are able to meet the various challenges.
As mentioned, the Consumer Internet of Things typically is about smart wearables and smart home appliances but also about smart televisions, drones for consumer applications and a broad range of gadgets with Internet of Things connectivity.
It’s important to note that de facto the Consumer Internet of Things overlaps with the use of the Internet of Things across several industries.
On top of examples such as smart meters, as explained above, it is clear that the CIoT offers manufacturers of devices and applications important opportunities to leverage data to build new revenue streams and even new partnerships and ecosystems to leverage this data in various ways. Data privacy and security will remain a challenge for several years to come but at the same time new generations of devices with clear benefits and a focus on the consumer experience will boost the market.
RFID in the lives of consumers
RFID has come a long way. Even if you don’t know what it means, you “use” it.
Examples? Electronic door locks, many modern credit cards, identification cards with RFID, the list is long.
RFID is even used so much that end 2014, security firm Norton and Betabrand designer Steven B. Wheeler joined forces to create the world’s first RFID (and NFC) blocking jeans to avoid theft of data.
Internet of Things in business: the Internet of Everything (IoE)
The Internet of Everything is a term that was coined by Cisco but is also used by other companies.
The Internet of Things focuses too much on the things and, as mentioned, is also very broadly used. It’s why some started distinguishing between the just mentioned Consumer Internet of Things and the Industrial Internet of Things.
Cisco and other prefer to use the term Internet of Everything, partially because of that umbrella term issue, partially because of the focus on things and partially to provide context to their views and offerings. But it’s not just marketing. The Internet of Everything or IoE depicts crucial aspects of IoT, namely people, data, things and processes; in other words: what makes a business. It’s this mix that matters. Moreover, the classic illustration of the Internet of Everything also made clear what, for instance, machine to machine or M2M is all about.
We’ve based ourselves on that classic depiction and added the dimensions of value and data analysis.
Internet of Things and robots: the Internet of Robotic Things (IoRT)
Are you ready for another term? Here we go: meet the Internet of Robotic Things, aka IoRT. What is about?
One of the major characteristics of the Internet of Things is that it enables to build far stronger bridges between physical and digital (cyber) worlds. You see it in all IoT use case and in the Industrial Internet of Things you see it in what’s called the Cyber Physical Systems.
Yet, in most case, the focus is predominantly on the ‘cyber’ part whereby data from sensors essentially are leveraged to achieve a particular outcome with human interference and with a focus on data analytics and ‘cyber’ platforms. The way it happens, as ABI Research, who came up with the IoRT concept (which is real today) puts it is that essentially many applications and business models are built upon passive interaction.
The Internet of Robotic Things market is expected to be valued at USD 21.44 Billion by 2022
By adding robotics to the equation and turning devices (robots) in really intelligent devices with embedded monitoring capabilities, the ability to add sensor data from other sources, local and distributed intelligence and the fusion of data and intelligence in order to allow these devices determine actions to take and have them take these actions, within a pre-defined scope, you have a device that can control/manipulate objects in the physical world.
Sounds complex or too futuristic? Examples in the space of Industry 4.0 (with collaborative industrial robots), warehouse automation (Amazon Robotics) and even personal robots for cleaning and so forth make it more tangible. It’s still early days for the IoRT but the projects and realizations in this next stage are real. IoRT is not tied to the consumer and industrial IoT distinction, it’s ubiquitous.
Internet of Things business across industries: sectors and use cases
Previously we mentioned how the Internet of Things today already is a reality in several industries, more so than in consumer applications. However, the landscape evolves fast.
The Internet of Things is used in various industries for numerous use cases which are typical for these industries. On top of that, there is a long list of Internet of Things use cases that is de facto cross-industry.
As the Internet of Things is embraced and deployed at different speeds throughout consumer and industrial sectors, we take a look at some of the main industries and use cases which drive the Internet of Things market and Internet of Things projects.
Cross-Industry Internet of Things investments, which represent use cases common to all industries, such as connected vehicles and smart buildings, will rank among the top segments by 2020 (IDC)
Patterns and shifts in the vertical industry and Internet of Things use case spend
Note that the biggest and/or fastest growing use cases are not always related to the biggest and/or fastest growing industries in terms of Internet of Things spending.
Among the reasons for this phenomenon:
- The costs and scope of the investments. A full-blown, enterprise-wide Internet of Things project in industrial settings such as manufacturing or logistics is far more expensive than a smart home implementation.
- The shifts in the major Internet of Things use cases and industries. Remember that the Internet of Things mainly started as an industrial and business sector phenomenon. Industries with many existing physical assets can realize fast cost savings and efficiencies of scale. That’s why today they spend more in Internet of Things projects than consumer segments where we see more ‘new’ devices, rather than existing assets.
- The Consumer Internet of Things catching up. As industries keep leading the current waves of Internet of Things spending until 2020, the fact that they started first and the advent of ever more consumer use cases and better (safer and more useful) solutions means that gradually consumer Internet of Things catches up with Industrial Internet of Things spending.
- The rise of cross-industry Internet of Things applications and of scenarios whereby consumers and businesses meet each other in business-driven initiatives (for instance, the push for telematics in insurance, the push for smart meters in utilities) has a levelling effect on the adoption of the Internet of Things and on spending.
The top industries driving the Internet of Things until 2020
According to Internet of Things spending data and forecasts, published early 2017 by IDC, the 3 main industries in terms of IoT spending in 2016 were, respectively, manufacturing, transportation and utilities. Consumer Internet of Things spending ranked fourth.
While globally in the period until 2020, manufacturing will remain the major industry (except in Western-Europe) there will be global changes in this top 3. Among the fastest growing industries in the period until 2020 are insurance, healthcare, retail, consumer and, as mentioned, cross-industry initiatives.
Obviously, there is a difference between Internet of Things spend and number of Internet of Things projects.
A report by IoT Analytics, really a list of 640 real-life Internet of Things projects, indicates that from the perspective of number of projects connected industry ranks first but is closely followed by smart city implementations (where we mentioned the report), which rank second.
Why this difference? On top of the fact that various firms use various approaches and definitions (even if you compare spending forecasts instead of spending and projects as we do here), there is the very simple fact that many smart city projects tend to be far cheaper than industrial counterparts. In most smart city projects, low data bandwidth is needed and equipment, depending on use cases is far cheaper. As an example: the – for now – cheapest connectivity technology over longer ranges, non-cellular LPWAN such as LoRa and Sigfox, is predominantly found in smart city projects.
Internet of Things in manufacturing
Given the “origins” of the Internet of Things (remember RFID) and the most typical (early) use cases, manufacturing (for now) is still taking the lead.
According to the same IDC data we mentioned earlier, published early 2017, the manufacturing industry was good for a total Internet of Things spend of $178 billion in 2016, which is more than twice as much than the second largest vertical market (in spend), transportation.
Gartner analyst Jim Tully said that there were 307 million installed units at the time of the Q&A in the manufacturing industry where systems with sensors have always been embedded into manufacturing and the automation processes. In a May 2015 forecast on the worldwide growth of the Internet of Things market (poised to grow 19% in 2015) IDC forecasted that the Internet of Things market in manufacturing operations will reach $98.8 billion in 2018. Drivers: efficiency optimization and “linking islands of automation”.
According to a February 2015 report by PwC, the majority of US manufacturers has deployed devices to collect, analyze/measure and act upon data. The infographic which came with the report, mentioned data from a survey conducted in February 2014. According to that survey 34.6 percent of respondents had already implemented devices and sensors to gather this data and another 9.6 percent was about to implement Internet of Things devices within a year. Only 24 percent of all respondents from the US manufacturing industry said they had no plans to implement devices to collect, analyze and act upon data.
66 percent of early-movers in manufacturing say the Internet of Things is now critical to competitive advange
US manufacturers were using Internet of Things Technology in the manufacturing plant (32 percent), followed by the warehouse, the extended supply chain and the customer environment.
When looking at the usage of the Industrial Internet of Things and manufacturing, also note the importance of cyber-physical systems (sometimes used interachangeably with IIoT, which is not correct) and the notion/reality of digital twins in the Industrlal Internet and Industry 4.0.
Internet of Things in manufacturing: use cases
Internet of Things use cases in manufacturing cover a broad range of applications, including:
The graphic from Verizon’s “State of the Market: Internet of Things 2016“, below shows some data and benefits across several use cases.
The Internet of Things in the retail business
Retail is moving up fast, both in operations and customer-facing circumstances as Tully says.
In its mentioned forecast on the worldwide growth of the Internet of Things market, IDC also emphasized retail in an ongoing effort to digitize the consumer experience. Digital signage in retail outlets is in fact the big driver in 2015, IDC found. Also remember how the term Internet of Things was first mentioned in a context of supply chain management in retail and consumer goods environment. It is mainly in the optimization of processes and of logistics that the Internet of Things offers immediate benefits to retailers. However, obviously the customer-facing and inventory-related aspects matter a lot too.
The use of the Internet of Things in retail, among others, changes customer experience, leads to better customer insights, enables new collaborations and business models and further blurs the line between digital and physical in an in-store context.
Retailers are working with the Internet of Things for several innovative and immersive approaches, ranging from virtual closets and self-checkouts to smart shelves (inventory accuracy) and connected vending machines.
The Internet of Things in government and cities
The Internet of Things is already used across several government activities and layers as digital transformation efforts rank high on the government transformation priority list. Obviously, the government sector is a very vast ecosystem and so are the many Internet of Things use cases in government.
On top of the use of the Internet of Things for national, regional, supra-national, local and government-related services (often delivered by government agencies or regulated, semi-regulated and state-sponsored service providers), the Internet of Things sooner or later often involves government. Think about regulations, for instance. Or the role of governments in energy. And let’s not forget security and safety.
Smart cities and citizen-facing public services
Probably the best-known usage of the Internet of Things in a government context concerns smart cities, in reality mainly smart city applications.
Smart city projects are what people hear about most and they get a lot of attention, among others because smart city applications are close to the daily lives of residents. Another reason why smart cities are often mentioned is that de facto smart city projects account for a big portion of Internet of Things deployments. Think about smart waste management (often a local matter), smart parking and environment monitoring.
Another area where we see the Internet of Things popping up is in citizen-facing public services.
To a large extent smart city uses cases overlap with Internet of Things use cases in public services as one of the key tasks of a city is to serve the citizens. However, with public services we also go beyond the local/urban level. The degree of overlap depends on the way government services are organized in a particular country or region. Internet of Things initiatives in citizen-facing public services include the already mentioned local ones but also smart energy (often with state-sponsored partners), for instance.
Infrastructure, healthcare, safety and security
Public services brings us to infrastructure. Again, this is a broad category which can be organized by several partners in the government ecosystem. Smart grid is an example, smart roads another one (in cases where road infrastructure is a national or ‘shared’ matter). But also think about applications such as toll collection.
Next there is safety and security. On a national level this certainly also includes defense and the industrial-military complex. On more regional levels we see applications such as smart lighting (there is a link between lighting of public spaces and crime), various forms of identity control, surveillance and so on. Last but not least, there is the role of the Internet of Things in security alerts, fighting natural disasters etc.
That brings us to healthcare, another sector going through digital transformation, and closely related with government. Healthcare is organized differently across the globe, from funding to healthcare insurance and actual care. However, there is always a government component. Healthcare is a key Internet of Things market.
Moreover, governments have a role in public health which can be enhanced by taking initiatives using the Internet of Things and in collaboration with private an state-sponsored partners. The same goes for public safety by the way. An example: collaborations between governments and insurance firms, leveraging telematics.
The omnipresence of the Internet of Things in government – opportunities, regulation and challenges
There are really hundreds of ways in which governments leverage and can leverage the Internet of Things to improve citizen experience, realize cost savings and, not to forget, generate new revenue streams.
The latter is quite important as many IoT projects have an impact on the funding of cities. A simple example: if you have a perfectly working smart parking solution in a city, you lose revenues for all the obvious reasons. So, it’s not just a matter of technologies but also of finding creative ways to turn enhanced citizen experience and citizen services in a global picture that is beneficial for everyone.
This takes time, planning and, as you can imagine, given the complexity of the government ecosystems, lots of alignment and coordination.
In some countries and on supra-national levels initiatives are taken and funding is foreseen across a range of ‘smart’ initiatives where often also cities and government agencies can benefit from in the scope of projects within a designated area and an agenda with a clear goal. At the same time, governments get increasingly active in the area of Internet of Things security and regulation, as said, is always nearby. As an example, take the connected car of the future. It’s pretty clear that governments will be hugely involved in this and it’s less obvious than it may seem. Just to give you an idea: in some countries, traffic regulations are already a complete mess because of the arrival of fast electrical bikes. You can imagine what will happen once vehicles are connected and ‘smart’.
The Internet of Things in buildings and facilities
The Internet of Things plays an important role in facility management, among others including smart buildings.
The integration of IT (Information Technology) and OT (Operational Technology) plays an important role in this regard as it did in the fast rise of Industrial Internet of Things. Thanks to the Internet of Things and this IT/OT convergence, facility managers and building professionals can realize various goals. These depend on the nature and scope of the facility/building.
Smart buildings are among the fastest growing cross-industry Internet of Things use cases in the period until 2020. Moreover, research indicates that data collection from buildings and other structures such as HVAC is already high. Last but not least, the market and evolutions of the BMS (Building Management System) are strongly impacted by the Internet of Things. According to research, the Internet of Things is one of the dominant drivers in both spending and evolutions in the BMS market, which is forecasted to grow at a CAGR of 16.7 percent between 2017 and 2023 according to one of the many studies regarding that BMS market.
As the graphic below indicates, building management systems are becoming the centers of connectivity in a world of ever more endpoints in buildings which are leveraged by several building management systems but whereby the BMS plays a central and connecting role as in the end it’s all about analytics and actions, whereby the building owner wants a central platform which the BMS will be and de facto already largely is.
Leveraging data from IoT-enabled facility assets, along with new Internet of Things platforms and facility management, with embedded capabilities, are leading to possibilities and benefits in building management areas such as:
- Smarter building security systems.
- Smarter Heating, ventilation and air conditioning (HVAC).
- Safer and more comfortable/healthy workplaces and buildings.
- Facility service quality optimization.
- Cost reductions, also in a green building context and in reduction of energy and water consumption.
- Better planning, operational efficiencies and enhanced resource allocation.
- Predictive maintenance and facility maintenance planning.
- Facility equipment control, configuration and regulation.
- Building management and building automation.
- Energy efficiency.
- Light and room control, comfort.
This list is far from comprehensive. As there are various sorts of buildings, each with their own challenges, infrastructure, technologies and most of all goals the landscape of building automation and management is very broad.
In light and room control alone there are several controls such as blind controls, AC unit controls and literally dozens more.
The overall building automation and management landscape exists since far before the Internet of Things existed and is composed of various specializations, each with their standards (e.g. KNX in room control or BACnet in building management systems), certification programs for green buildings (ecology and energy/ecology regulations are key drivers) and for OT channel partners, technologies, networks, solutions and of course goals (the goal of an IoT-enabled office space, building or even meeting room is not the same of a hospital, even if there are always overlaps) .
However, with the Internet of Things these worlds are converging (and the standards already evolved to IP). This is a challenge and opportunity for the various players who all have their skillsets but rarely are able to offer the full picture.
HVAC, for example, requires entirely different capabilities than power management or building management systems. That’s why companies like Schneider Electric have developed partner and system integrator certification programs for various smart building specializations whereby the so-called EcoXperts (EcoXpert is the name of the partner program) can learn new skills, connect, expand into new domains and even go for multiple certification badges as the Internet of Things is increasingly dominating all building domains. Some of the players in these segments have a more mechanical background, others an electrical background and still others, such as system integrators, a background of customization and software (PLCs).
Among these providers we find:
- Light and room control experts.
- Experts in very specific areas such as HVAC.
- Players in the broader building management field, mainly in large buildings.
- Electrical contractors who are often more involved with smaller and medium buildings where they can offer smart energy solutions or, for instance specialize in home automation.
- Experts in critical power, which you typically find in airports, hospitals and other buildings where quality and reliability of power is critical in all senses.
The Internet of Things in healthcare
The Internet of Things has been present in healthcare in many forms and shapes since several years.
With remote healthcare monitoring and medical/hospital asset tracking, monitoring and maintenance as typical examples of these initial applications, the face of the Internet of Things in healthcare is changing fast.
Among the evolutions and drivers of the Internet of Things in healthcare:
- An increasing consciousness and engagement from the consumer/patient side leads to new models, leveraging personal healthcare devices.
- In a more integrated perspective, data from biosensors, wearables and monitors are used in real-time health systems and to save time for caregivers, detect patterns, be more aware and increase quality of care.
- A broad range of innovations in fields such as smart pills and ever better delivery robots help in making healthcare more efficient and in saving resources, while also increasing quality of care.
Whether it’s on the level of caregivers and healthcare providers, healthcare payers, the pharmaceutical industry, the patient (who should come first and demands it) or other stakeholders in the broader healthcare picture: we are moving from ad hoc and early Internet of Things deployments and use cases to a far more important role of the Internet of Everything in healthcare.
The graphic below shows the importance of remote monitoring as the main use case in healthcare from a spending perspective until 2020 and ongoing growth in the years after that with some vital sign monitor devices, followed by ways how healthcare providers and healthcare payers plan to leverage the Internet of Things and, finally smart healthcare market growth data, based on IDC, Technavio and Grand View Research.
Some evolutions and forecasts in healthcare IoT in numbers:
- Research shows that by 2019, 89% of all healthcare organizations will have adopted IoT technology and that the Internet of Things will be essential in the initiatives of healthcare payers and providers in 2017 and 2018.
- Among the main perceived benefits of healthcare IoT in the future are increased workforce productivity (57%), cost saving (57%), the creation of new business models (36%) and better collaboration with colleagues and patients (27%). The key benefits as reported in March 2017, however, are increased innovation (80%), visibility across the organization (76%) and cost savings (73%).
- Other research shows that wearables will play a key role in health care plans, clinical IoT device data will free up clinician’s time significantly by 2019 (up to 30%) and there will be an increasing role for IoT-enabled biosensors and robots for medication and supplies delivery in hospitals by 2019 as the graphic below shows.
More data, use cases and evolutions regarding the Internet of Things in healthcare via the button below.
Internet of Things in utilities and energy
Facing huge challenges and transformations for several reasons, utility firms have 299 million units installed according to Gartner’s Tully. On top of utilities in the traditional sense there is also a lot happening in oil and gas and in energy.
Among the many typical use cases in utility firms: smart meters to improve efficiency in energy, from a household perspective (savings, better monitoring etc.) and a utility company perspective (billing, better processes and of course also dealing with natural resources in a more efficient way as they are not endless) and smart grids (which is about more than the Internet of Things).
The Internet of Things in automotive
Connected cars and all the other evolutions in the automotive industry are driving the market as well.
Again, according to the same research by IDC, connected vehicles is the hottest US market in the overall picture. The connected car is one of those typical examples where the Consumer Internet of Things and Industrial Internet of Things overlap.
The Internet of Things in other sectors
Other industries include healthcare, transportation (where “smart devices” and sensors have existed for quite some time), logistics, agriculture and more.
Add to that the consumer context and you know why it is such a hot topic. Stay tuned for more detailed overviews per industry with various examples of applications in practice and with various use cases per sector.
Internet of Things projects and examples
On top of looking at Internet of Things use cases and applications within specific industries it’s worth the while to see how it is leveraged in practice, regardless of sector.
When looking for use cases you will mainly find examples of scenarios and goals within which Internet of Things deployments can be categorized. These use cases tend to use a different taxonomy, depending on the research firm or company that uses them.
Internet of Things examples in the sense of actual cases and real-life deployments help you see the business rationale behind implementations. As said, do check them out, regardless of industry as the sought benefits and results are often relatively universal.
Below are a few examples we’ve explained previously, check them out!
Industrial Internet of Things business case: developing a new service offering at ABB Robotics
This manufacturing example essentially revolves around the ability to create pro-active and additional (new) services and revenues thanks to the Internet of Things.
It explains how ABB Robotics, the industrial robotics division of ABB, connected the robots it sells to customers and thanks to this connection enhances customer service and much more, tapping into the power of actionable data and insights. The case is based upon information from Jasper (Cisco).
Smart city Internet of Things example: tackling air pollution in Glasgow
This Internet of Things case fits in a smart city application (remember that smart cities aren’t just about the Internet of Things nor even about just technologies).
More specifically, this Internet of Things example zooms in on a challenge regarding environment and air quality monitoring in the city of Glasgow. It’s interesting from the perspective of the goals but most of all from the viewpoint of an – additional – mobile component, which greatly enhanced the city’s possibilities to monitor better and in more circumstances than before. This case is based upon a case study of Spain-based Libelium.
Environmental grassroots Internet of Things example: a flood alert system
The Internet of Things is often used in an environmental context and the monitoring of potential dangers, from volcano eruptions as you can see in our example regarding flood monitoring.
Keeping an eye on rising water levels and gathering the data in order to warn people and the necessary local instances faster in case of a potential flood is what this particular case is all about. It has a grassroots dimension and shows how the measurement of several parameters (also, for instance groundwater levels) can lead to systems for the greater good without breaking the bank.
IIoT and Industry 4.0 example: a mining business case
If you think that the Internet of Things and digital transformation are not for industries that have been around for ages, think again.
With a range of challenges, not in the least regarding IP connectivity, the underground mine of Chelopech in Bulgaria was transformed into an Internet of Everything and Industrial Internet example with several outcomes such as a whopping increase of production, enhanced safety for miners, communication possibilities and savings, previously impossible maintenance and problem solving possibilities and rapid insights in production overall. As the CEO of Dundee Precious Metals, owner of the gold and copper mine, put it in 2016, the mining industry needs disruptive innovation too. And while that’s happening in Chelopech and other mines of Dundee and others (Rio Tinto, Glencore and so forth), many mines still need to embark on the journey. Maybe the case offers some inspiration.
Internet of Things and smart facility management case: business innovation in the property development market
The Internet of Things is often used to develop new services, revenue streams and, ultimately, even business models.
It’s the essence of Industry 4.0 and digital transformation. We tackled the Internet of Things in smart buildings and smart facility management before. Here is a case that combines the potential to tap into new revenue streams in the scope of facility management.
Dutch construction/building and property development company Heijmans understood the potential of smart facility management and smart buildings in office buildings. So, it started collaborating with a few other companies, including a natural ecosystem partner in the scope of office buildings, namely a cleaning firm, to work out a solution that doesn’t only add services for its existing and future customers but also makes the lives of office workers (digital workspaces), cleaners, facility managers and senior management easier across a variety of tasks and needs per identified target segment.
This resulted in a solution that offers a range of control, planning, maintenance and efficiency tools for each of the mentioned four target groups. For the company itself it’s a way to expand its portfolio, up-sell and tap into new revenue streams for customers and anyone needing this kind of solution.
IoT technology: cloud, fog computing and edge computing
As so much data is created and increasingly will be created with the Internet of Things, the decentralized ways in which these data are generated need different aproaches, among others in the ways they are transported, processed and analyzed, driving (automated) actions.
From the cloud to the fog in IoT
One of these approaches is fog computing, a system-level architecture (and form of edge computing) that extends the computing, network and storage capability of the cloud to the edge of the network.
This is especially important when a large geographical area is involved, when data needs to be processed extremely fast and data is collected at the extreme edge as Cisco calls it, for instance on oil rigs or in ships.
Fog computing is not the only technological aspect to deal with the reality regarding data, bandwidth, processing and analysis requirements of IoT projects.
There are also numerous other technologies, among others regarding connectivity as we see below, that are involved. Other technological components include the middleware, the sensors, actuators and other hardware, the cloud, the networks which we tackle below and so forth. In the future also the 5G wireless networks which bring new mobile approaches and solutions for some of the mentioned challenges will boost IoT but that is for 2020 and beyond.
The growing role of fog and edge computing in IoT
The terms fog computing and edge computing today are used interchangeably although there are differences between both.
The global edge computing market is expected to reach USD 6.72 billion by 2022 at a CAGR of 35.4%
With the huge challenges and opportunities on the unstructured data front in mind it’s key to look at the evolutions in edge computing, certainly in more industrial applications where analytics close to the point of origin will become more and more important as data volumes rise, everything moves to the edge, networks become more intelligent and resources need to be allocated well, avoiding too much sending back and forth of big data sets.
The continuing rise of edge computing in IoT (and mainly industrial IoT) is one of the main evolutions for the IoT in 2018 and the years after that.
- According to IDC, spending on edge infrastructure will reach up to 18 percent of all IoT infrastructure spend by 2020 which is a lot as there is quite some IoT infrastructure.
- Gartner expects that by 2022, 50 percent of all enterprise-generated data will be created and processed outside a traditional centralized data center or cloud, including ever more IoT data (edge computing stretches beyond IoT).
- Among the main drivers of the growth of edge computing in IoT are the increase of IoT devices, the growing scale of IoT projects, the IoT data deluge, the growing adoption of IoT overall, the resulting pressure on resources such as networks and bandwidth and, perhaps most important, the need for fast data analysis across myriad IoT use cases.
More on IoT and the rise of edge computing with data, drivers and explanations on the differences between fog and edge in our article on edge computing and IoT in 2018 and beyond via the button below.
IoT device technologies: sensors and actuators
Previously we have spoken about connected devices and IoT device and the ‘things’ in the Internet of Things.
While most people think about IoT devices such as smart meters, smart home appliances, fitness trackers, smart light bulbs, smart alarm systems and, in business and industry, for example robots and cobots, connected industrial assets, smart streetlighting or intelligent building controls, to name a few, the things that really matter in IoT, including these devices, contain several technological components, which make them function as explained in our article on the first layers of the IoT technology stack, being those things, IoT gateways (see next) and IoT platforms (also see next).
There are obviously lots of parts in any IoT device: sensors, actuators, boards, antennas, chips, micro-electro-mechanical systems and so forth. We won’t go that deep and look at the most important ones: sensors and actuators.
Both sensors and actuators are what is called transducers. A transducer converts a specific signal which comes in a specific form of energy into another signal in a different form of energy.
Sensors convert signals in areas such as heat, humidity, pressure, presence of gases, pressure, acceleration and so forth into a digital signal that gets sent to a control and/or data aggregation system such as a sensor hub or gateway. They are the start of all IoT data capture and thus must be accurate. The exact types of sensors (there are over a hundred) depend on what you want to achieve. In some IoT use cases, projects or devices you only have a few sensors (per connected device), in others there are often thousands.
The data which are a result of the sensing and converting of any given state or change of state in temperature, presence of gases, location and so forth usually go from the sensor hub or IoT gateway to the cloud or a datacenter. However, given the described movement to the edge and the increasing functions of IoT gateways and IoT platforms a lot of IoT data processing and preparation (including analysis) can happen close to the devices (the edge) or in the mentioned gateways and platforms.
Actuators in a sense are the opposite of sensors. They receive a signal or feel a force or change of state (in a non-IoT context this can also be a manual actions), which makes them set in motion an operation in the physical world. Examples include the switching on of sprinklers when heat is detected, turning off heating and ventilation systems, triggering a robot to take an action, putting a vibration or location-related correction system in action, anything really. Just as there are many types of sensors, there are many types of actuators for various potential purposes. Actuators are what enable semi-autonomous or autonomous decisions take place in the physical part of the cyber-physical system.
The data received by IoT actuators are digital (electric) in nature and include a control system. The instructions get turned into another type of signal and energy, from switching things on or off, rotations, pressure and so forth. Typically actuators then also report data back so the taken action is known and, combined with other data, can be used for more insights, analysis or simply alerts.
The combination of smart sensors and actuators is what really makes IoT fulfil many real-life applications.
More about IoT devices, sensors and actuators in the mentioned article on the first layers of the IoT technology stack via the button below.
IoT gateways function as bridges between the ‘things’ of the Internet of Things, including the data they generate through sensors on one hand and networks, cloud, IoT platforms, data centers, and ultimately applications leveraging this and other (aggregated and analyzed) data, on the other hand.
IoT gateways play an important role in the encryption, decryption, pre-processing and even analysis of data. They function as intelligent bridges with ever more types and features.
IoT gateways are hardware, software or a mix of both. There are several types of IoT gateways whereby the functions and possibilities they offer as said increase. This is because there are ever more IoT devices, an increasing volume of IoT data and, last but not least, a shift in the way data gets analyzed to the edge as previously explained. If you have more data and more complex and diverse ways to leverage more data and build IoT projects this means that your whole technology environment changes to deal with various IoT workloads where it fits best. And, thus, IoT gateways are moving beyond their initial scope as some sort of filter and bridge on the intersection of IoT devices and data on one hand and the networks, cloud services or datacenters where they usually get stored and/or analyzed.
A typical ‘newer’ form of IoT gateways is an edge gateway. This has to do with the mentioned rise of edge computing and thus analysis BEFORE the cloud, network or datacenter.
In practice most IoT data still gets analyzed in datacenters according to 2017 research. However, little under half of companies do IoT data processing (data analysis, data aggregation or data filtering at the edge) as you can read in this article on the impact of IoT on IT infrastructure. And this has an impact on IoT gateways.
Do note that there are various types of IoT gateways depending on the reasons why they are used and/or the industry. You can find IoT gateways in smart vending machines, in home automation applications (aggregating and orchestrating data communications between smart home devices and sensors on one hand and cloud services on the other), for the Industrial IoT (IIoT gateways) and so forth.
More about IoT gateways via the button below where you also find images that are more advanced than the one above and more evolutions in the landscape of IoT and IIoT gateways.
Connectivity and network technologies
Time for a look at the Internet of Things connectivity aspect. In order to transmit data between devices and from devices to platforms, the cloud or any other destination, network technologies are needed.
In some applications, for instance in smart home solutions, this is relatively easy as there are several general and several proprietary connectivity solutions in typically rather simple use cases.
Connectivity is traditionally divided into solutions for PAN (Personal Area Network), LAN (Local Area Network), WAN (Wide Area Network), MAN (Metropolitan Area Network) and (less) in NAN (Neighbourhood Area Network).
These are concepts we know from computer networking in general since quite some years. To connect from a PAN to a LAN and a WAN or, let’s say, the Internet you need a gateway.
Internet of Things networks and connectivity in evolution
Today, various connectivity solutions enable to do so but in a not so distant past you needed smartphones, mobile networks and other solutions that weren’t not made for IoT didn’t guarantee enough safety or quality.
The rise of LPWAN companies such as Semtech (LoRA), Sigfox and so forth needs to be seen from that perspective whereby the focus was on having enough bandwidth, low power consumption and so forth at cheaper prices than existing possibilities. Building specific networks, among others, what made non-cellular LPWAN solutions successfull.
Today that landscape continues to evolve and change. New 3GPP standards, the shift to 4G LTE in the industry and beyond are some of these evolutions. Wireless IoT protocols and technologies are expected to become more important in the IoT network layer overall. However, it is and remains a reality that keeps changing.
Moving to more wireless Internet of Things connections and wireless network technologies
Among the reasons why wireless network technologies become more important is their flexibility as compared with wired networks.
That’s what Nicolas Windpassinger, author of the Internet of Things book ‘Digitize or Die’ says. If we take a look at the many wireless protocols and network technologies, Nicolas classifies them in five categories whereby he takes their range as a starting point. Obviously, the various technologies within the five wireless IoT network layer segments which he visually represented in the infographic below and further explores in his book have different ranges and different characteristics on other levels such as data rates and much more.
To categorize the several wireless technologies and protocols on the network level, Nicolas removes one of the previous mentioned types of networks and also adds one: proximity or body area networks, an increasingly important segment, certainly as the 4th platform is nearing.
Nicolas classifies the many wireless Internet of Things protocols and technologies as follows:
- Proximity or body area networks: Near Field Communications and RFID.
- Wireless PAN: from Bluetooth and Zigbee to Z-Wave, Enocean and WirelessHART, to name a few.
- Wireless LAN: the various flavors of Wi-Fi, including Wi-Fic HaLow which was presented by the Wi-Fi Alliance for IoT purposes and DASH7.
- Wireless NAN: Wi-SUN and JupiterMesh.
- Wireless WAN: anything LPWAN, from non-cellular LPWA (Sigfox, LoRa etc) to cellular technologies and standards in the 2G, 3G and 4G space and beyond.
Internet of Things network and connectivity shifts in the Industrial IoT
In the Industrial Internet of Things the majority of networks concerns fixed line connections such as DSL, cable modem, Ethernet and PSTN.
However, here as well the picture is evolving. According to ABI Research, for instance, one quarter of all new IIoT connections will be wireless whereby LPWA is expected to be the fastest grower until 2021 and there is a shift in the wireless area from 2G to 4G LTE.
Most Internet of Things cases require several connectivity technologies
In many, more advanced, Internet of Things use cases and examples, de facto a mix of connectivity technologies is needed.
Once more, everything depends on the context and the offering is vast: from fixed networks and wireless IP networks to low-rate wireless personal area networks, low-power wide area wireless solutions and even satellite; there is a (mix of) connectivity solution(s) for all cases.
Moreover, within each type of connectivity solutions there are often various players, each with their own characteristics and specifications.
As an example: in low-power wide area connectivity (LPWA), used in applications that need a long battery life, have limited data needs and have to cover a broader area, there are several non-cellular (outside of the licensed mobile spectrum) actors of which LoRA, Sigfox, Ingenu and Weightless (SIG) are among the better known ones. However, there are also newer cellular solutions (licensed spectrum of mobile operators) with again various forms and flavors: NB-IoT (NarrowBand IoT or CAT-NB1), LTE-M (CAT-M1) and so forth. In the cellular space we also need to mention 5G, as well as 3G and so forth as you’ll see in the example below. The same diversity goes for connectivity solutions in short-range conditions and so on.
That’s why several IT solution providers, telecom operators and so forth in practice offer a mix of connectivity solutions to enable their customers to leverage the Internet of Things for their specific needs.
The IoT connectivity puzzle is getting more standardized but it is not getting easier as new technologies and standards such as new Bluetooth versions (Bluetooth 5, Bluetooth MESH), new cellular mobile solutions, other forms of Wi-Fi etc. arise on top of an already vast ecosystem of all sorts of connectivity solutions, based upon various standards which are used in a specific context, such as Zigbee (see example below), Z-Wave and so many more, including vendor-specific approaches, certainly in the smart home space.
What’s important to know is that there is no one size fits all solution in any type of connectivity: the use case and application drives the needs.
An example of IoT connectivity in practice: combining Zigbee and 3G for mobile air quality monitoring
Here is an example of why you often need various types of connectivity in practice.
We’ve covered an example of an IoT case in the area of air quality monitoring whereby vehicles drive around to complement air quality data from fixed systems previously.
If you look at the connectivity solutions that are used in the case you see two types of connectivity.
- One is Zigbee, one of the connectivity solutions built upon the 802.15.4 standard for low-rate wireless personal area networks. As the image indicates in this case it is used to send the ‘sensed’ environmental data in the box on top of the van to a sensor hub in the glove box of the vehicle.
- The second one is 3G, the cellular standard, which is used to send the gathered information to the cloud and the application it powers.
And we can even add another technology: GPS (which enables tracking). You understand that the more complex the case (think about large-scale industrial applications), the more different connectivity solutions can be needed.
The future: 5G and the Internet of Things
Since a few years there is a real 5G race going on. 5G is the next generation of cellular mobility after 4G and comes with a different architecture and far higher data transfer speeds while offering the kind of bandwidth that is needed for live virtual reality streams and autonomous vehicles.
The final specifications of 5G will be ready by end 2019 but already several large industrial IoT companies are looking at the possibilities and adoption of 5G as the center of a heterogeneous network environment. 5G is not designed for IoT, it is designed for ubiquitous connectivity with data rates in the range of gigabits per second.
While it is expected that 5G will only become mainstream towards the end of the next decade and the decade after that the promises and expectations are use, also in and for IoT.
According to research company IDC the broad enablement of IoT use cases thanks to 5G by 2021 will drive 70 percent of the largest 2000 public companies across the globe to spend $1.2 billion on connectivity management solutions. The market potential of 5G as such is huge as are the possibilities it offers, redefining the very concept of mobility and boosting the ubiquitous connectivity of IoT too.
5G is not just about higher data transfer rates, it is also about reliability, latency and what is known as edgeless computing.
Internet of Things platforms
In order to build an Internet of Things solution, different components are required. There are the connected or tagged devices, equipped with sensing and data capabilities. There is the challenge of connectivity which we just tackled, there is the question of analytics. You need a strategy. Security cannot be an afterthought. The list goes on.
Another component which becomes increasingly important is the IoT platform. The term is used for many sorts of platforms but we look at so-called IoT Application Enablement Platforms, what real IoT platforms are. They combine several functions in one software solution and are offered by hundreds of vendors, including big players such as Amazon, Microsoft, SAP and IBM, to name a few.
IoT platforms are especially important in enterprise markets and come in many flavors and shapes. According to IDC (data November 1, 2017) by the end of 2020 almost half of all the new IoT applications that will be built by enterprises will leverage an IoT platform that offers outcome-focused functionality, based on comprehensive analytics capabilities.
In 2017 the market was expected to grow by 116 percent as you can see below. It is also forecasted that many large organizations are deciding on the choice of an IoT platform that meets their needs in 2018 and 2019 so the growth certainly isn’t finished. The fact that IoT platforms are so important, that so many organizations are preparing purchases in 2018 and 2019 and that large-scale IoT projects are on the rise have an important impact on the market of IoT platform providers. Some companies, such as Hitachi Vantara, have even redesigned their IoT strategy in 2017, whereby getting a part of the IoT platform market is an essential driver.
Some takeaways from the mentioned 2017 IoT platform market report
- Open data and interoperability become even more important.
- IoT platform growth remains huge with high double-digit numbers until at least 2025.
- The main drivers to acquire Internet of Things platforms are better, faster and cheaper development and deployment.
- There is a growing interest in open source IoT platforms.
- The market will go through a stage of consolidations as vendors rush to offer more complete solutions which can also be leveraged in vertical industry situations.
IoT platforms come in many forms and shapes. On top of more general and horizontal IoT platforms there are specialized IoT platforms for specific consumer-oriented applications and use cases, for use cases in areas such as building management and facility optimization, energy management, oil and gas, transportation, utilities, manufacturing and other industrial applications (Industrial IoT or IIoT platforms) and within those increasingly for edge applications (edge IoT platforms), for verticals such as smart cities (smart city IoT platforms) and so forth.
The Internet of Things and IPv6
The Internet of Things and IPv6 go hand in hand. IPv6 (IP stands for Internet Protocol) is a key step in the evolution of the Internet and the Internet of Things.
IPv6 allows for 100 possible Internet addresses for every atom on the face of the Earth
What are we talking about? It’s a known fact since really many years that the number of available IPv4 addresses doesn’t suffice anymore. As the Internet continues to grow and with the rise of the Internet of Things, IPv6 essentially makes sure that we don’t run out of IP addresses (which are needed in IoT too) and the growth of the Internet doesn’t stop. With IPv4 IP addresses would become a scarce good with all the necessary consequences.
Simply said, IPv6 guarantees that all things, whether it concerns all the ‘traditional’ Internet stuff out there or the many devices in the Internet of Things, will have their IP addresses. Why? Well, the latest version of the Internet protocol, v6, simply allows far more IP addresses and thus enables the identification, location and communication of more devices on the Internet.
The math: IPv4 is good for more or less 4.3 billion addresses (it’s 32-bit), IPv6 (128-bit) allows for 340,282,366,920,938,463,463,374,607,431,768,211,456 possible internet addresses or 100 for every atom on the face of the Earth as BT’s Tim Rooney calculated.
Wikipedia has a pretty good overview of the various challenges and other facts regarding IPv4 and IPv6 in case you’re interested.
Internet of Things and the Internet of Services
In more than one way the Internet of Things is really an Internet of Services, not just regarding the services that are needed by organizations for the Internet of Things projects they want to realize but also in the context of the goals of deployments as a service to the stakeholders and the as-a-service economy
There is a growing need for Internet of Things services by organizations. Today, many Internet of Things projects, certainly in the Industrial Internet of Things, revolve around process automation and data analytics.
There is also a demand for Internet of Things services in other areas than services around automation, information management and data analytics. And in the context of, for instance, smart homes, smart cities and smart healthcare there is a need for specialist services. In practice and in big projects many service providers even need to collaborate as you cannot be a specialist in everything. Collaboration is key.
At the same time many de facto Internet of Things deployments in real life are about the development of better data-driven services, both in the sense of enhanced customer service and in the sense of tapping into new revenues by developing services in more pro-active and sometimes even disruptive ways, moving companies from a product to a service business model. Our list of Internet of Things cases gives some good examples of this evolution.
Internet of Things and security
The Internet of Things still is a security nightmare although one needs to differ and not generalize but rather look at various cases.
Nevertheless, both in consumer applications and industrial applications, there are many questions that need to be solved.
Both data controllers and data processors also have several duties with regards to the protection and security of personal data when these are processed in IoT projects in new regulations. Moreover, there are ever more legal and regulatory compliance rules whereby not just personal data get protected but also where IoT and emerging technologies are regulated and security also takes center stage.
Security is a challenge in consumer and industrial Internet of Things
The Consumer IoT space is probably most talked about from the security viewpoint as there are several issues and as security concerns seriously impact the market.
When Accenture looked at the slowing down of the consumer electronics market at the occasion of the Consumer Electronics Show 2016, the company observed that in order to bridge the gap between the current decreasing growth of the consumer electronics market and the next stage of increasing growth, which is expected to be driven by consumer applications in the IoT space and wearables, vendors need to address these security challenges.
The many security challenges regarding the Internet of Things are not just in the consumer electronics space. In business applications, the security challenges of a hyper-connected Internet of Things reality are at least as high, not to mention the impact on IT infrastructure and data capabilities.
Cybercrime meets the Internet of Things
Connected devices and the internet of Things are increasingly used for large scale attacks.
Several DDoS attacks have been reported throughout 2016, including the up to 620 Gbps DDoS attack which made the website of well-known security journalist Bryan Krebs go down end September 2016. The attack received a lot of attention, also because it was related with other issues such as free speech (Krebs was attacked by hackers after exposing a network of hackers for hire, the attack was so intensive that Akamai had to stop protecting Kreb’s website against DDoS attacks and Google put the site in its Project Shield).
Fears are high that soon such attacks and even more intensive ones will become the norm. And it’s not just about DDoS attacks. Ransomware is also moving to the Internet of Things and security experts warn for cascade effects of exploited vulnerabilities in the connected reality which the IoT is. On top of the security challenges, compliance and data privacy also need to be tackled.
Internet of Things security risks
In the Internet of Things, sensors communicate with each other and through gateways, connected to an Internet of Things platform, the various applications of the company are fed and triggered.
Obviously such a platform needs to be highly secure as do the communications between sensors, gateways and the platform.
Some aspects of the Internet of Things security concerns
- Vulnerabilities in the devices.
- Difficult or non-existing procedures to patch IoT devices.
- A lack of awareness in and support from the boardroom.
- Too much focus on saving costs in Internet of Things projects and not investing in essential security controls.
- Not enough attention for security overall and for the ‘perimeter of everything’ which is simply needed in the Internet of Everything.
- Lack of standardization across networks and application programming interfaces (APIs).
- Old devices and rogue vendors.
- Consumer education and awareness.
- Standardization and protocols (although serious efforts are being done).
Internet of Things security priorities and evolutions
Before embarking on an Internet of Things project journey, it’s important to realize that security is not an afterhought and is an end-to-end part of any digital strategy.
Many IoT enterprise security professionals still are not monitoring IoT devices in real time, a situation that is expected to change throughout 2017 and 2018 as security gets more attention and Internet of Things platforms with IoT device monitoring are leveraged rapidly.
Other evolutions and facts you can expect on an Internet of Things security level include:
- Continued breaches as the industry players step up the security pace to become trusted partners.
- More sophisticated threats and a more sophisticated usage of devices that are out there already and need an urgent solution.
- A potential delay in the Consumer Internet of Things picking up.
- Changes in the ecosystems used to deploy Internet of Things projects.
- An increasing choice for the most secure connectivity options, depending on the use case.
- Different ways of handling data and on securing the endpoints where data is generated.
- Organizations will invest more in device discovery, onboarding and monitoring to gain visibility and be able to do real-time monitoring.
Security and the Industrial Internet of Things
The Industrial Internet of Things and the integration of IT and OT comes with specific security challenges, as do many IIoT use cases and technological/human elements which are typical in industrial Internet.
Cybersecurity is one of the key reasons slowing down Industrial Internet of Things (IIoT) adoption. Check out the evolutions, challenges and solutions with additional resources on IIoT and security.
The rise of IoT security and IoT safety investments
IoT security gets so much attention now that it is expected to temporarily have an impact on IoT productivity gains of companies as they are pushed and poised to invest far more in security.
Moreover, regulations are coming as we tackle next and it’s not just companies that deploy IoT projects that are investing more in security. The whole IoT ecosystem with hardware manufacturers, solution providers and integrators is inevitably looking – and in some instances – forced to look at security in a higher degree.
On top of security, there is also the question of physical safety as mentioned. Some technologies, such as blockchain, are also looked into as ways to provide a more reliable and trustworthy IoT. However, IoT security doesn’t just encompass data or transactions of course.
It requires that holistic approach. According to November 1, 2017 data from IDC in its worldwide IoT 2018 top 10 predictions the company states that by 2020, the potential cybersecurity and physical safety concerns which are associated with IoT devices will pressure CIOs at the world’s largest 2000 public companies to Increase spending on IoT security by up to 25%, which explains the mentioned temporarily neutralizing of business productivity gains.
Internet of Things and regulations
As data has become a key business asset in the digital transformation economy and the Internet of Things, as well as the many related technologies, revolve around connected data and how it’s leveraged, new regulatory frameworks are planned and/or deployed. This is certainly related with security concerns, among others on the level of data privacy and data protection risks.
The Internet of Things leverages personal data across several use cases. Think about driverless cars, wearables for private or healthcare applications, telematics in insurance, IoT and marketing, the smart home, the list is endless.
Internet of Things, the GDPR and the ePrivacy Regulation
The protection of personal data, with potentially significant fines in case of breaches and non-compliance, is a cornerstone of the General Data Protection Regulation or GDPR.
This EU Regulation affects all organizations which process personal data of EU citizens (‘data subjects’ who have more and stronger data subject rights than ever before), no matter where the organization physically resides or the processing is done. In other words: it’s crucial to prepare for GDPR compliance in general but also with regards to the Internet of Things. Why? Because with the Internet of Things comes a range of technologies, devices, use cases, applications and processes which are pretty specific and amazingly overlooked. If you HAVE or PLAN to deploy an Internet of Things project that involves personal data from EU citizens in any way you MUST know the GDPR and be ready for it. In the scope of IoT projects with personal data processing especially look at whether you might need a data protection impact assessment.
A second piece of legislation, also in the EU, that will impact what can and can’t be done with the Internet of Things is the ePrivacy Regulation. This text for now is not final yet but once it is will have significant consequences as it covers privacy across electronic communication channels and the draft text explicitly mentions the Internet of Things.
Internet of Things and regulation: awareness is crucial, compliance will drive the market
As other regions and specific vertical industries are about to be confronted with regulations regarding IoT and related technologies, awareness, preparation and information is crucial.
It takes work but we wrote a guide on the Internet of Things in the scope of the GDPR and the ePrivacy regulation which will be updated as other legislation and regulations are added, to get you started. There are also intentions to, for instance, regulate robots and AI.
On the positive side (and security nor data breach avoidance can’t be an afterthought in any Internet of Things project) the regulatory changes also will drive the adoption of the Internet of Things in both consumer and business/industry applications, where data, privacy and security remain key challenges as you could read in the previous section in security and the Industrial Internet of Things because here is the thing: without trust nothing goes.
Distributed ledger technology: blockchain and the Internet Of Things
Internet of Things applications and blockchain (or distributed ledger technology) are expected to go hand in hand.
As both are distributed and blockchain is conceived for applications involving transactions and interactions with new forms of contracts as other benefits, it is expected that the technology behind blockchain can serve as a basis to keep a ledger of IoT devices, how/what they communicate and data on their state.
Distributed ledger technology (the technology that essentially is behind ‘the’ blockchain which powers Bitcoins but can be used for many other reasons) is seen as a way to enhance compliance in the Internet of Things.
Accountability and audit trails thanks to the use of distributed ledger technology, however, are not the only benefits of the converge of blockchain and the Internet of Things.
In an infographic, IBM mentions 3 key benefits of using blockchain for the Internet of Things:
- Build trust
- Reduce costs
- Accelerate transactions
Internet of Things, artificial intelligence and machine learning
We previously mentioned how the convergence of IoT, artificial intelligence and big data analytics opens the door to next generation technologies. These include new applications in visualization technology and Brain Computing Interfaces.
Yet, artificial intelligence and cognitive is bound to play an increasing role in IoT. This is the case in many areas and for many reasons. Below are a few.
- As we move to autonomous decisions at the edge in multiple industrial markets such as the building management space, AI inevitably becomes a necessity. The same goes for areas such as the Internet of Robotic Things, autonomous processes in manufacturing and Industry 4.0, the list goes on.
- The increase of IoT data and multiplication of data sources overall in areas such as healthcare and life sciences, to name a few, leads to an avalanche of data whereby only AI can help make sense out of all this data and turn IoT and sensor data into actionable intelligence. In fact, AI is the only way to make sense of unstructured data to begin with and is leveraged in ever more applications where unstructured data meet engagement. If we compare the sheer volumes of data today with what IoT is still about to add the consequences are clear.
Just as is the case in other data-intensive areas and even more so in IoT, AI is the only way to move from data to tangible value in an ocean of information that is sensed, sent, analyzed and leveraged with analysis at the edge in many industrial applications.
There are more areas of convergence and collaboration between artificial intelligence and machine learning on one hand and IoT on the other but it’s clear that AI and IoT simply go hand in hand in myriad applications. This is also understood by executives. According to the 2017-2017 edition of the previously mentioned IoT Barometer, IoT will not just become far more integrated but also push the adoption of artificial intelligence while doing so. A large majority of executives (79 percent) agree that in the period from 2017 until 2022 over half of organizations will use artificial intelligence and machine learning to make sense of IoT data.
If we take a look at the forecasts with regards to the market of artificial intelligence and cognitive systems which is poised to reach $57.6 Billion in 2021 according to September 2017 data from IDC, there is an interesting sentence from research director David Schubmehl at the end of the press release that kind of nails it for us: “We are seeing cognitive and AI technology and solutions weaving into an ever broader and wider array of applications and use cases”.
IoT in business context: sell/realize the use case and outcome
While IoT matters a lot, it’s important to remember that usually business people don’t talk about the Internet of Things to their bosses in the scope of their work and project plans. If they do, it’s best to stop it unless the CEO and CFO are IT experts.
Business execs often don’t even speak about the use cases in terms of more…terms, such as smart cities or smart grids. In the end, they know that they need to digitally transform, that the Internet of Things is a truly disruptive game-changer but their job is to solve challenges , innovate and optimize in function of activities and goals. Simply put: few LOB executives will try to sell an IoT project to the CEO and there aren’t that many that will try to convince the board or the CFO regarding the benefits of a smart metering project. But, to take the latter example, they will certainly succeed if they come up with a way to reduce costs, gain valuable insights, develop new revenue streams and increase customer satisfaction, for instance, certainly if they did the math.
How important is the Internet of Things really?
The Internet of Things will change our lives and organizations dramatically, just as cloud computing and big data have been a major shift, the Internet and mobile devices revolutionized the world, robots and AI (artificial intelligence) impact and will impact our lives deeply, blockchain is a major game-changer and Industry 4.0 will significantly alter the face of manufacturing and of industrial markets.
But there is a catch. It’s easy to say that the Internet, mobile phones, smartphones and social media changed many things as they are here since many years. It’s far harder to say how – and how fast and where – exactly the Internet of Things will change our lives. We see how it does in organizations, in healthcare where IoT is key in digital health and so forth.
However, for the IoT and more ‘recent’ realities such as Industry 4.0 and the latest forms of AI, it is still very early days Moreover, these days there are many people who think that technology will solve all challenges, which it rarely does. Some even seem to think that because you can add things to the IoT you should everything which you can. It’s part of the hype and IoT solution provider efforts. Yet, as phenomena such as digital transformation and even the Internet show things don’t always tend to change that fast nor in the directions some would like it. With the Internet of Things (and others), there are also regulatory measures, security issues, questions regarding job losses and far more.
While the Internet of Things no doubt really is part of a set of technologies and use cases that will change many things (from cities and cars to houses and factories) we’re not there yet and don’t know how fast and how it will happen. There isn’t a single prediction about a basic aspect of the IoT such as the number of connected devices by year x, that has come true over a longer period and adjustments to forecasts until now have always been reductions.
The IoT in essence remains about connecting material things to the Internet. As we covered, these things include devices, machines, sensors and objects, as well as contextually relevant condition and status monitors of living things such as animals and people in novel ways. Anything that is attached as an endpoint with a unique Internet adress (IP address) to the Internet and can sense and send data is part of the IoT. An endpoint is what makes an object uniquely identifiable on the IoT. It can be (part of) a system, a device, a tag which is attached to an animal or a sensor and communication system connected to a human being.
Yet, the main benefit of the Internet of Things is the capability to leverage data and turn them into actions and insights in previously unseen ways. To do so, the Internet of Things works in an ecosystem of several technologies and partnerships. And that is where the real value of IoT starts.
Developing an Internet of Things strategy with these things in mind is crucial.
Internet of Things FAQ
The Internet of Things (IoT) is defined as a global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving (new) interoperable information and communication technologies.
By connecting physical and virtual things that contain embedded technology to communicate and sense or interact with their internal states or the external environment, data can be leveraged from physical objects and machines. This data gets aggregated, analyzed, and leveraged for intelligence, decisions, and applications, including autonomous actions by the connected devices themselves.
The Industrial Internet of Things, known as IIoT or Industrial IoT, refers to using the Internet of Things in the manufacturing process and industrial markets. It is also used as a synonym for the Industrial Internet, a term invented by GE to describe a third industrial revolution, while in Germany this was called a fourth industrial revolution, now broadly known as Industry 4.0. The Industrial IoT can be characterized as a vast number of connected industrial systems that are communicating and coordinating their data analytics and actions to improve industrial performance.
The Internet of Things is not an invention. It uses existing and new interoperable technologies and systems to connect things and leverage data from these connected things. IoT is a further development of the Internet, M2M (machine-to-machine) communications, RFID (radio-frequency identification), and other technologies connecting things. The term Internet of Things was coined by Kevin Ashton ‘to describe a system where the Internet is connected to the physical world via ubiquitous sensors’.
By connecting physical and virtual things that contain embedded technology to communicate and sense or interact with their internal states or the external environment, data can be leveraged from physical objects and machines. This data gets aggregated, analyzed, and leveraged for intelligence, decisions, and applications, including autonomous actions by the connected devices themselves. Internet of Things applications, both for consumers and businesses, require many underlying technologies, including hardware, software and connectivity technologies. Also see the IoT technology stack.
The architecture or technology stack of the Internet of Things consists of different layers, just like other networks. A 6-layered architecture has been defined whereby each layer contains distinct technology, software, and devices. Four layers are hierarchical or vertical, and two are transversal or horizontal.
The vertical layers are:
Connected ‘things’ and IoT devices.
The horizontal layers are:
IoT network technologies.
IoT security technologies.