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Gartner Predicts Massive Growth for IoT

Pete Goldin
APMdigest

The Internet of Things (IoT) will move toward mainstream adoption in 2016 for many industries, according to the findings of a recent survey by Gartner, Inc. The online survey was conducted in November 2015 among Gartner Research Circle Members and included responses from 465 IT and business professionals spanning 18 business sectors in North America, EMEA, Asia/Pacific and Latin America.

Although less than a third (29 percent) of responding organizations are currently using IoT, an additional 14 percent are planning to implement IoT in the coming 12 months, with an additional 21 percent planning to implement after 2016. In other words, the number of organizations adopting IoT will grow 50 percent in 2016, reaching 43 percent of organizations overall. In aggregate, the majority of organizations (64 percent) plan to eventually implement IoT. However, it is also important to note that another 38 percent have no plans to implement IoT, including 9 percent that see no relevance whatsoever in the technologies.

"While there is near universal acceptance of the importance of the IoT, less than a third of organizations surveyed were actively exploiting it," said Chet Geschickter, Research Director at Gartner. "This is largely because of two reasons. The first set of hurdles are business-related. Many organizations have yet to establish a clear picture of what benefits the IoT can deliver, or have not yet invested the time to develop ideas for how to apply IoT to their business. The second set of hurdles are the organizations themselves. Many of the survey participants have insufficient expertise and staffing for IoT and lack clear leadership."

Industry adoption also varies widely with heavy industries such as utilities, oil and gas, and manufacturing leading adoption, and service-oriented light or "weightless" industries lagging. Gartner estimates that slightly more than half (56 percent) of businesses in asset-intensive "heavy" industries will have implemented IoT by the end of 2016, and approximately one-third (36 percent) of "light" or "weightless" will do so.

"2016 will be a very big year for IoT adoption. We are starting to see a wide range of IoT use cases across virtually all industries. But, the big challenge now is demonstrating return on investment. Executives need to validate the contribution that IoT can make in order to justify large-scale rollouts," said Geschickter.

Jessica Ekholm, Research Director at Gartner, adds, "We estimate that total IoT services spending will reach nearly $235 billion in 2016, an increase of 23 percent from 2015. The professional services segment constitutes the biggest opportunity for IoT, with spending forecast to surpass $215 billion in 2016 an increase of 21 percent in 2016."

"The largest consumer IoT services opportunity will be in health and fitness, followed by automotive infotainment, and home security and safety," Ekholm continues. "In 2016, 3.5 million consumer connected things will be in use, representing 87 percent of total consumer IoT in use, and on pace to reach 10.6 million units by 2020."

Gartner also made the long-term prediction that more than half of major new business processes and systems will incorporate some element of the Internet of Things (IoT) by 2020.

The impact of the IoT on consumers' lives and corporate business models is rapidly increasing as the cost of "instrumenting" physical things with sensors and connecting them to other things — devices, systems and people — continues to drop.

"Uses of the IoT that were previously impractical will increasingly become practical," said W. Roy Schulte,VP and Distinguished Analyst at Gartner. "The IoT is relevant in virtually every industry, although not in every application. There will be no purely "IoT applications." Rather, there will be many applications that leverage the IoT in some small or large aspect of their work. As a result, business analysts and developers of information-centric processes need to have the expertise and the tools to implement IoT aspects that play a role in their systems."

Privacy and Security Concerns

According to Gartner, the nature of IoT solutions, how they are deployed, and the types of data they generate and consume are giving rise to new security and privacy implications that organizations must begin to address. This is a rapidly escalating risk to the organization, bringing complexity unfamiliar to most IT and business leaders.

"The IoT has enormous potential to collect continuous data about our environment," said Ted Friedman, VP and Distinguished Analyst at Gartner. "The integrity of this data will be important in making personal and business decisions, from medical diagnoses to environmental protection, from commands to modify actions of machinery to identification and authorization of physical access. A black market for fake or corrupted sensor and video data will mean that data can be compromised or substituted with inaccurate or deliberately manipulated data. This scenario will spur the growth of privacy products and services, resulting in an extensive public discussion regarding the future of privacy, the means to protect individual privacy, and the role of technology and government in privacy protection."

By 2020, addressing compromises in IoT security will have increased security costs to 20 percent of annual security budgets, from less than one percent in 2015.

As use of IoT devices grows, however, the unique requirements of IoT architecture, design and implementation over multiple industry segments and scenarios will also grow. As a result, Gartner believes that the average security budget for IT, operational technology (OT) and IoT security requirements will respond to the growth of IoT devices across all business segments and scenarios, rising from less than one percent of annual security budgets in 2015 to 20 percent in 2020.

"Major cybersecurity vendors and service providers are already delivering roadmaps and architecture of IoT security, in anticipation of market opportunity," said Earl Perkins, Research VP at Gartner. "Small startups delivering niche IoT security in areas such as network segmentation, device-to-device authentication and simple data encryption are offering first-generation products and services, including cloud-based solutions where applicable. Large security vendors have already begun acquiring some of these IoT startups to support their early roadmaps and fill niches in their portfolios."

Pete Goldin is Editor and Publisher of APMdigest

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Gartner Predicts Massive Growth for IoT

Pete Goldin
APMdigest

The Internet of Things (IoT) will move toward mainstream adoption in 2016 for many industries, according to the findings of a recent survey by Gartner, Inc. The online survey was conducted in November 2015 among Gartner Research Circle Members and included responses from 465 IT and business professionals spanning 18 business sectors in North America, EMEA, Asia/Pacific and Latin America.

Although less than a third (29 percent) of responding organizations are currently using IoT, an additional 14 percent are planning to implement IoT in the coming 12 months, with an additional 21 percent planning to implement after 2016. In other words, the number of organizations adopting IoT will grow 50 percent in 2016, reaching 43 percent of organizations overall. In aggregate, the majority of organizations (64 percent) plan to eventually implement IoT. However, it is also important to note that another 38 percent have no plans to implement IoT, including 9 percent that see no relevance whatsoever in the technologies.

"While there is near universal acceptance of the importance of the IoT, less than a third of organizations surveyed were actively exploiting it," said Chet Geschickter, Research Director at Gartner. "This is largely because of two reasons. The first set of hurdles are business-related. Many organizations have yet to establish a clear picture of what benefits the IoT can deliver, or have not yet invested the time to develop ideas for how to apply IoT to their business. The second set of hurdles are the organizations themselves. Many of the survey participants have insufficient expertise and staffing for IoT and lack clear leadership."

Industry adoption also varies widely with heavy industries such as utilities, oil and gas, and manufacturing leading adoption, and service-oriented light or "weightless" industries lagging. Gartner estimates that slightly more than half (56 percent) of businesses in asset-intensive "heavy" industries will have implemented IoT by the end of 2016, and approximately one-third (36 percent) of "light" or "weightless" will do so.

"2016 will be a very big year for IoT adoption. We are starting to see a wide range of IoT use cases across virtually all industries. But, the big challenge now is demonstrating return on investment. Executives need to validate the contribution that IoT can make in order to justify large-scale rollouts," said Geschickter.

Jessica Ekholm, Research Director at Gartner, adds, "We estimate that total IoT services spending will reach nearly $235 billion in 2016, an increase of 23 percent from 2015. The professional services segment constitutes the biggest opportunity for IoT, with spending forecast to surpass $215 billion in 2016 an increase of 21 percent in 2016."

"The largest consumer IoT services opportunity will be in health and fitness, followed by automotive infotainment, and home security and safety," Ekholm continues. "In 2016, 3.5 million consumer connected things will be in use, representing 87 percent of total consumer IoT in use, and on pace to reach 10.6 million units by 2020."

Gartner also made the long-term prediction that more than half of major new business processes and systems will incorporate some element of the Internet of Things (IoT) by 2020.

The impact of the IoT on consumers' lives and corporate business models is rapidly increasing as the cost of "instrumenting" physical things with sensors and connecting them to other things — devices, systems and people — continues to drop.

"Uses of the IoT that were previously impractical will increasingly become practical," said W. Roy Schulte,VP and Distinguished Analyst at Gartner. "The IoT is relevant in virtually every industry, although not in every application. There will be no purely "IoT applications." Rather, there will be many applications that leverage the IoT in some small or large aspect of their work. As a result, business analysts and developers of information-centric processes need to have the expertise and the tools to implement IoT aspects that play a role in their systems."

Privacy and Security Concerns

According to Gartner, the nature of IoT solutions, how they are deployed, and the types of data they generate and consume are giving rise to new security and privacy implications that organizations must begin to address. This is a rapidly escalating risk to the organization, bringing complexity unfamiliar to most IT and business leaders.

"The IoT has enormous potential to collect continuous data about our environment," said Ted Friedman, VP and Distinguished Analyst at Gartner. "The integrity of this data will be important in making personal and business decisions, from medical diagnoses to environmental protection, from commands to modify actions of machinery to identification and authorization of physical access. A black market for fake or corrupted sensor and video data will mean that data can be compromised or substituted with inaccurate or deliberately manipulated data. This scenario will spur the growth of privacy products and services, resulting in an extensive public discussion regarding the future of privacy, the means to protect individual privacy, and the role of technology and government in privacy protection."

By 2020, addressing compromises in IoT security will have increased security costs to 20 percent of annual security budgets, from less than one percent in 2015.

As use of IoT devices grows, however, the unique requirements of IoT architecture, design and implementation over multiple industry segments and scenarios will also grow. As a result, Gartner believes that the average security budget for IT, operational technology (OT) and IoT security requirements will respond to the growth of IoT devices across all business segments and scenarios, rising from less than one percent of annual security budgets in 2015 to 20 percent in 2020.

"Major cybersecurity vendors and service providers are already delivering roadmaps and architecture of IoT security, in anticipation of market opportunity," said Earl Perkins, Research VP at Gartner. "Small startups delivering niche IoT security in areas such as network segmentation, device-to-device authentication and simple data encryption are offering first-generation products and services, including cloud-based solutions where applicable. Large security vendors have already begun acquiring some of these IoT startups to support their early roadmaps and fill niches in their portfolios."

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...