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.

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…

What's in store for the world of IoT in 2026
IoT Insights
IoT in 2026: the technologies driving the next wave of IoT growth

The Internet of Things stands at a pivotal inflection point. As we approach 2026, the convergence of Edge AI, advanced connectivity standards, and evolving regulatory frameworks is reshaping the IoT ecosystem in fundamental ways. Professor Muthu Ramachandran, Cybersecurity, AI, and…

In June this year, NFC Forum announced the launch of NFC Release 15. This brought to life one of the core objectives of the organisation’s five year roadmap, originally published in 2023, to extend the Operating Volume for NFC Forum certified compliant devices and tags from 5mm to 20mm – OV5 to OV20. This fourfold increase is expected to advance new and exciting use cases across a variety of sectors including payments, automotive, transit and access control.
Security
Building a trusted ecosystem: standards and regulations in support of IoT security

In the five years since ETSI published EN 303 645, the first globally recognised baseline standard for IoT security, a great deal has changed, writes Alex Leadbeater, Technical Security Director, GSMA. At its time of release, the industry was awash…

Space-based solar power is moving rapidly from science fiction to serious possibility, with new research suggesting it could transform Europe’s future energy mix. A landmark study from King’s College London indicates that harvesting solar energy in orbit could reduce the continent’s renewable energy requirements by as much as 80%, reshaping both infrastructure planning and investment.
Technical Insights
Opinion: Are solar panels in space the future of renewable energy?

Space-based solar power is moving rapidly from science fiction to serious possibility, with new research suggesting it could transform Europe’s future energy mix. A landmark study from King’s College London indicates that harvesting solar energy in orbit could reduce the…

Jason Ghidella explores how Model-Based Design is helping engineering teams tackle rising system complexity, improve collaboration, and accelerate delivery. Drawing on real-world examples from companies such as Dyson, Danfoss, and Bosch eBike Systems, he explains how organisations are quantifying ROI, breaking down silos, and adopting modern CI/CD practices. The result is a practical look at why Model-Based Design is becoming central to digital transformation, and how it will continue to evolve over the coming years.
Technical Insights
Why model-based design is becoming essential for modern engineering teams

As modern systems – from autonomous vehicles to industrial automation and machinery – grow more complex, the software that powers them must evolve just as quickly. Engineering teams are now asked to deliver millions of lines of high-assurance code under…

Artificial intelligence is reshaping mobility, but its impact often falls short of the hype, with hidden costs and inflated expectations prompting businesses to focus on where AI actually delivers measurable value. At the 2025 International Telematics & Connected Mobility Conference in Vilnius, AI emerged as a central theme, highlighting Lithuania’s growing role in the global telematics ecosystem.
IoT Insights
AI in mobility: Lithuania’s growing hub shows both potential and pitfalls in smart transport

Albert Komar, head of brand at Lithuania-based software company Gurtam, looks at how AI is re-shaping the world of mobility, both in Lithuania and around the world. Artificial intelligence is having a powerful impact on mobility, though not always in…

Introduction to Smart Locks with Biometric Authentication In an era where security and convenience are paramount, smart locks have emerged as a cutting-edge alternative for access control, offering features that go far beyond the limitations of physical keys. A new generation of smart locks integrates advanced biometric technologies such as facial recognition and fingerprint scanning, allowing users to unlock doors with a simple glance or touch. Some high-end models even incorporate iris detection for an added layer of security. These innovations not only eliminate the need for carrying keys, but also significantly reduce the risk of lock-picking and unauthorised access.
IoT Insights
Unlocking innovation: high-performance imaging transforms modern smart lock design

Patrik Jan Spanik, Technical Marketing Analyst, onsemi, discusses how advanced imaging enables biometric smart locks to deliver secure, convenient, and intelligent access for homes. In an era where security and convenience are paramount, smart locks have emerged as a cutting-edge…

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