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IoT: Where Are We Now and Where Are We Going?

Sven Hammar

The Internet of Things (IoT) is increasingly present in our daily lives, at work, in the home and in the public sphere, making the world a more connected place. In fact, 2020 will see at least 20 billion connected devices across the globe.

So, let's take a look at the most common iterations of the IoT at the moment, and what we can expect to see in the IoT landscape over the next 5 years.

How IoT looks now

 
In Our Homes
Many people's first experience of the IoT comes from their domestic life. There are hundreds of connected devices available to buy without breaking the household budget, from Google's Assistant software to smart "Nest" thermostats. People can use their voices to control their surroundings, making their homes and lives more connected than ever before. Smart homes also give us extra peace of mind, as IoT-enabled tech can connect owners to their home at all times.

On Our Wrists
Thanks to wearable technology, more people are starting to carry IoT capability around with them. Smartwatches like the Apple Watch mean our wrists are now synched with mobile devices and associated services. Additionally, the proliferation of wearable fitness trackers such as Fitbit, which provide instant data about users' workouts, has changed the face of the wider fitness space.

The world of work is changing to accommodate wearable IoT devices too. Employers are now introducing wearables into the office and onsite workplaces, allowing remote information sharing and optimization of employee processes.

What can we expect over the next five years?

In Our Cities
As IoT tech is adopted within the home, we'll also begin to see its application in wider urban neighborhoods, towns and cities. "Smart cities" will streamline services and improve infrastructure – provided they have the right connections and data. Issues like traffic congestion and pollution are among the problems the IoT can solve when smart technology is built into a city. Early schemes are already at work in Barcelona and Southampton, UK – other cities are sure to follow suit with innovative and smart technology over the next few years.

On Our Roads
Most high-end cars being sold today already have a high degree of connectivity, and the automotive industry is not going to slow down in delivering optimal user experience and embracing the IoT. Car manufacturers over the next five years will drive a revolution in how people both buy and use their vehicles. Increased accessibility will mean you can adjust car temperature, check mileage, or even start the ignition from an app. Also, with more control over cars at all times, users will benefit from better security.

The IoT is transforming every day physical objects like phones, watches and cars and creating an ecosystem of information that will enrich our lives. As more and more things enter into the digital fold, the IoT is en route to becoming the defining disruptive technology of our time.

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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 ...

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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 ...

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IoT: Where Are We Now and Where Are We Going?

Sven Hammar

The Internet of Things (IoT) is increasingly present in our daily lives, at work, in the home and in the public sphere, making the world a more connected place. In fact, 2020 will see at least 20 billion connected devices across the globe.

So, let's take a look at the most common iterations of the IoT at the moment, and what we can expect to see in the IoT landscape over the next 5 years.

How IoT looks now

 
In Our Homes
Many people's first experience of the IoT comes from their domestic life. There are hundreds of connected devices available to buy without breaking the household budget, from Google's Assistant software to smart "Nest" thermostats. People can use their voices to control their surroundings, making their homes and lives more connected than ever before. Smart homes also give us extra peace of mind, as IoT-enabled tech can connect owners to their home at all times.

On Our Wrists
Thanks to wearable technology, more people are starting to carry IoT capability around with them. Smartwatches like the Apple Watch mean our wrists are now synched with mobile devices and associated services. Additionally, the proliferation of wearable fitness trackers such as Fitbit, which provide instant data about users' workouts, has changed the face of the wider fitness space.

The world of work is changing to accommodate wearable IoT devices too. Employers are now introducing wearables into the office and onsite workplaces, allowing remote information sharing and optimization of employee processes.

What can we expect over the next five years?

In Our Cities
As IoT tech is adopted within the home, we'll also begin to see its application in wider urban neighborhoods, towns and cities. "Smart cities" will streamline services and improve infrastructure – provided they have the right connections and data. Issues like traffic congestion and pollution are among the problems the IoT can solve when smart technology is built into a city. Early schemes are already at work in Barcelona and Southampton, UK – other cities are sure to follow suit with innovative and smart technology over the next few years.

On Our Roads
Most high-end cars being sold today already have a high degree of connectivity, and the automotive industry is not going to slow down in delivering optimal user experience and embracing the IoT. Car manufacturers over the next five years will drive a revolution in how people both buy and use their vehicles. Increased accessibility will mean you can adjust car temperature, check mileage, or even start the ignition from an app. Also, with more control over cars at all times, users will benefit from better security.

The IoT is transforming every day physical objects like phones, watches and cars and creating an ecosystem of information that will enrich our lives. As more and more things enter into the digital fold, the IoT is en route to becoming the defining disruptive technology of our time.

Hot Topics

The Latest

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 ...

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.