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Gartner Says 6.4 Billion Connected "Things" Will Be in Use in 2016

Gartner forecasts that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 2020.

In 2016, 5.5 million new things will get connected every day.

Gartner estimates that the Internet of Things (IoT) will support total services spending of $235 billion in 2016, up 22 percent from 2015. Services are dominated by the professional category (in which businesses contract with external providers in order to design, install and operate IoT systems), however connectivity services (through communications service providers) and consumer services will grow at a faster pace.

"IoT services are the real driver of value in IoT, and increasing attention is being focused on new services by end-user organisations and vendors," said Jim Tully, VP and Distinguished Analyst at Gartner.

"Aside from connected cars, consumer uses will continue to account for the greatest number of connected things, while enterprise will account for the largest spending," Tully added. "Gartner estimates that 4 billion connected things will be in use in the consumer sector in 2016, and will reach 13.5 billion in 2020."

In the enterprise, Gartner considers two classes of connected things. The first class consists of generic or cross-industry devices that are used in multiple industries, and vertical-specific devices that are found in particular industries.

Cross-industry devices include connected light bulbs, HVAC and building management systems that are mainly deployed for purposes of cost saving. The second class includes vertical-specific devices, such as specialised equipment used in hospital operating theatres, tracking devices in container ships, and many others.

"Connected things for specialized use are currently the largest category, however, this is quickly changing with the increased use of generic devices. By 2020, cross-industry devices will dominate the number of connected things used in the enterprise," said Tully.

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Gartner Says 6.4 Billion Connected "Things" Will Be in Use in 2016

Gartner forecasts that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015, and will reach 20.8 billion by 2020.

In 2016, 5.5 million new things will get connected every day.

Gartner estimates that the Internet of Things (IoT) will support total services spending of $235 billion in 2016, up 22 percent from 2015. Services are dominated by the professional category (in which businesses contract with external providers in order to design, install and operate IoT systems), however connectivity services (through communications service providers) and consumer services will grow at a faster pace.

"IoT services are the real driver of value in IoT, and increasing attention is being focused on new services by end-user organisations and vendors," said Jim Tully, VP and Distinguished Analyst at Gartner.

"Aside from connected cars, consumer uses will continue to account for the greatest number of connected things, while enterprise will account for the largest spending," Tully added. "Gartner estimates that 4 billion connected things will be in use in the consumer sector in 2016, and will reach 13.5 billion in 2020."

In the enterprise, Gartner considers two classes of connected things. The first class consists of generic or cross-industry devices that are used in multiple industries, and vertical-specific devices that are found in particular industries.

Cross-industry devices include connected light bulbs, HVAC and building management systems that are mainly deployed for purposes of cost saving. The second class includes vertical-specific devices, such as specialised equipment used in hospital operating theatres, tracking devices in container ships, and many others.

"Connected things for specialized use are currently the largest category, however, this is quickly changing with the increased use of generic devices. By 2020, cross-industry devices will dominate the number of connected things used in the enterprise," said Tully.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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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.