IoT Insights

IoT Insider’s exclusive input from industry covers a range of topics, trends, case studies and analysis so you can stay informed of the updates in the IoT sphere.

ByteSnap
Industry Insights
ByteSnap Design launches specialist WirelessHART development and certification support service

ByteSnap Design announced the launch of WirelessHART product development and certification support services. This new offering targets industrial manufacturers who face the complex technical and regulatory challenges of deploying wireless devices in hazardous environments. WirelessHART technology allows for wireless communication…

Nexthink spark resolves 77% of IT issues at first contact
IoT Insights
Nexthink spark resolves 77% of IT issues at first contact
Nexthink announced the launch of Nexthink Spark, the world’s first personal IT agent powered by real-time DEX data. Built on the Nexthink Infinity platform, Spark is a personalised, context-aware, fully autonomous AI agent that reaches employees and resolves IT issues…
IoT Insights
Learn How to Cut IoT Connectivity Costs: See Real Use Cases & ROI Strategies Inside

Satellite for IoT: Affordable and Reliable Connectivity, Anywhere IoT systems are expanding into remote, mobile and hard-to-reach environments. Cellular networks cannot always provide consistent coverage, which creates gaps in visibility and breaks in critical data flow. Satellite connectivity now offers…

Protecting the backbone of clean energy
IoT Insights
Protecting the backbone of clean energy

In the UK, the share of electricity generation from renewable sources during the second quarter of 2025 reached a new record level of 54.5% of all generation, according to the Department for Energy Security and Net Zero. But as we…

Long associated with fridges that text you when you run out of milk and watches that count the number of steps you take, the Internet of Things has changed almost beyond recognition since the term was popularised a decade ago.
IoT Insights
What does ‘Internet of Things’ mean in 2026?

Long associated with fridges that text you when you run out of milk and watches that count the number of steps you take, the Internet of Things has changed almost beyond recognition since the term was popularised a decade ago.…

UK tech projects stalled by approval delays
Technical Insights
UK tech projects stalled by approval delays

More than a third (34%) of UK IT service providers say regulatory approvals delay ‘almost every’ technology project – with nearly one-in-five experiencing average delays of more than three months. This is according to new research from Telehouse Europe, a…

Xsens IMUs deliver sub-5cm heave accuracy for wave motion
Industry Insights
Xsens IMUs deliver sub-5cm heave accuracy for wave motion

Xsens announced a major capability upgrade for its industrial-grade Xsens Sirius and Xsens Avior inertial measurement units (IMUs). The new Heave feature delivers centimetre-level vertical displacement measurement, enabling real-time stabilisation and wave compensation in a wide range of marine applications.…

Schneider Electric UK Sets Out Its 2026 Predictions for the Energy Transition
IoT Insights
Schneider Electric’s 2026 predictions for the energy transition

  Schneider Electric reveals its 2026 predictions for the UK’s energy transition as it decarbonises its industries, buildings and power grids. The UK’s net zero economy could be worth up to £1 trillion in by 2030 – around one third…

Nordic Semiconductor is bringing AI intelligence and functionality to the smallest battery-powered IoT devices. With an industry-leading, ultra-low-power Edge AI solution, Nordic accelerates the arrival of a new generation of devices with integrated edge AI intelligence – combining energy efficiency with unmatched ease of use for developers. - nRF54LM20B – New ultra-low-power, large-memory wireless SoC with Axon NPU - Custom Neuton models – ultra-tiny edge AI models - Nordic Edge AI Lab – Development tool, simplifying and accelerating Edge AI development “AI factories train intelligence, but Nordic deploys it – on device, at the edge, where the world happens - said Vegard Wollan, CEO at Nordic Semiconductor. “Edge AI is no longer optional – it’s the only way to deliver safety, privacy, and sustainability at scale. Nordic’s edge AI solution enables millisecond decisions without round-trip latency to the cloud, ensures compliance through local processing, and delivers radically improved battery life for billions of connected devices. This is the new standard for ultra-low-power edge AI and Nordic is defining it.” Next generation nRF54LM20B with Axon NPU In 2023, Nordic acquired Atlazo and its Axon technology. The nRF54LM20B SoC is the first large-memory member of the nRF54L Series, integrating the Axon Neural Processing Unit (NPU), an ultra-efficient AI hardware accelerator, to supercharge demanding Edge AI workloads. Axon delivers up to 7 times faster performance and up to 8 times higher energy efficiency versus competing solutions for tasks such as sound classification, keyword spotting, and image-based detection. The nRF54LM20B SoC pairs the Axon NPU with 2MB NVM, 512KB RAM, a 128MHz Arm Cortex-M33 plus RISC-V coprocessor, high-speed USB, up to 66 GPIOs, and Nordic’s fourth-generation ultra-low-power 2.4GHz radio supporting Bluetooth LE, Bluetooth Channel Sounding, Matter over Thread, and more. Industry-leading ultra-tiny Neuton Edge AI models The Neuton models are ultra-tiny, CPU-run edge AI models that are typically under 5KB and up to 10 times smaller, faster, and more efficient than other CPU-run models. Nordic Edge AI Lab helps developers generate custom Neuton models for anomaly detection, activity and gesture recognition, biometric monitoring, and more – delivering privacy-preserving, real-time intelligence on tiny batteries and constrained memory, without cloud dependency. Edge AI becomes a natural part of any new product design With Nordic Edge AI Lab and Neuton models, intelligence moves from concept to reality without complexity. One recent deployment illustrates this: A global supply chain solution upgraded its smart tracking devices with AI models created in Nordic Edge AI Lab effortlessly, enabling detection of real handling events such as shock, shaking, and transportation directly on an nRF54L Series SoC. These AI-driven insights were rolled out across an entire fleet without operational disruption, thanks to Nordic’s nRF Cloud lifecycle services. “With Nordic Edge AI Lab, Neuton models, and the Axon NPU, Nordic makes advanced on-device AI practical for every embedded developer,” said Oyvind Strom, EVP Short-Range BU at Nordic Semiconductor. “Developers get the simplicity to move fast, and the disruptive performance to scale from wearables to industrial sensing – all enabled within Nordic’s trusted ultra-low-power hardware solutions.” As intelligence moves to the Edge, the need for OTA management and deep observability is growing. At the same time, cloud-based lifecycle services remain critical for device management, embedded observability, and location services. Manufacturers increasingly need continuous insight into device performance – not just to improve products in real time, but to meet growing regulatory and customer requirements. Using data from deployed devices enhances features and optimises performance without disrupting the user experience. This ensures connected products can evolve securely and efficiently throughout their lifecycle.
IoT Insights
Nordic Semiconductor simplifies Edge AI for billions of IoT devices

Nordic Semiconductor is bringing AI intelligence and functionality to the smallest battery-powered IoT devices. With an industry-leading, ultra-low-power Edge AI solution, Nordic accelerates the arrival of a new generation of devices with integrated edge AI intelligence – combining energy efficiency…

In 2026, the Internet of Things is no longer about connecting devices; it is about embedding intelligence into the physical world. What began as telemetry streaming to distant clouds has evolved into a distributed architecture where decisions happen at the edge. Factories predict failures before they occur, traffic systems adapt in real time, and healthcare devices monitor patients with clinical precision. This transformation is powered by edge computing, AI, and next-generation connectivity, and it is reinforced by a regulatory environment that demands security as a design principle rather than an afterthought.
IoT Insights
IoT in 2026: intelligence at the Edge, market momentum, and the regulatory tightrope

In 2026, the Internet of Things is no longer about connecting devices; it is about embedding intelligence into the physical world, writes Dario Betti, CEO, Mobile Ecosystem Forum (MEF). What began as telemetry streaming to distant Clouds has evolved into…

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