In the News

At this year's IoT Solutions World Congress (IOTSWC), held alongside the Barcelona Cybersecurity Congress, one message was clear: Internet of things (IoT) is here, delivering proven performance.

Arrival of SGP.32 eSIM standard, as well as regulations and evolving industry dynamics, seen as transforming the market for cellular-based IoT connectivity, including emergence of orchestrator role

AIoT is a meeting between two different worlds with different rhythms. IoT device estates may contain multiple generations of hardware, in support of use cases that may vary between end-user deployments, by geography, and depending on connectivity technology. From an AI perspective, however, the frequently updated software models and user experience associated with these diverse endpoints should be as homogenous as possible. Accordingly, the key capabilities that will be required to support AIoT device estates are a consequence of the interplay between two very different technology domains that are themselves relatively complex. They are summarised in the graphic below and discussed in the following subsections.

Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most impactful and far-reaching technology developments of our time. Increasingly these two technologies are deployed together and the term ‘AIoT’ has come to the fore. In this article we discuss the market potential for AIoT devices and the AI Use Cases found onboard these devices.

The mobile industry met recently at Mobile World Congress in Barcelona, with the topic of IoT, as ever, a key theme. For the last few years there has been quite a focus on how the latest mobile generation, 5G, can create new opportunities for enhanced capabilities for enterprise use cases, and for Mobile Network Operators (MNOs) to make money. MNOs have invested significant sums in upgrading to 5G, and increasingly in upgrading to a 5G Standalone (5G SA) core network. Much of the promise of 5G comes from the latter, giving MNOs the potential to deliver richer features and functionality including real-time latency, improved reliability, and ‘Quality on Demand’ type features.

While others are still piloting their way through the future of last-mile delivery, Starship Technologies just passed another major milestone: over 8 million autonomous deliveries completed by its fleet of sidewalk robots.

Don’t you just love standards and how SGP.32 and SPOG roll off the tongue. SGP.32 is important as a standard for a number of reasons.

The Internet of Things (IoT) in 2025 is set to see significant advancements in technology, shifting market dynamics, and evolving regulatory landscapes. Technology analyst firm Transforma Insights has identified ten critical ‘Transition Topics’ that will define the IoT environment in the coming year, particularly related to IoT connectivity. These themes explore the integration of artificial intelligence (AI), developments in connectivity technologies, regulatory compliance challenges, and the strategic evolution required to sustain market growth.

Before we get started, it’s important to put things in perspective. The use of low-cost IoT solutions – what friends call “cheap and cheerful” – will still be most of the market. It has the legacy already and extraordinarily little of AIoT needs to be at the endpoint in order for benefits to be achieved. However, somewhere in the mix, the addition of artificial intelligence can bring new benefits.

Earlier this month, Matt Hatton — Founding Partner at Transforma Insights, and a well-respected commentator and thought-leader with more than 20 years of experience — penned what we believe was a great piece of content about the Internet of Things.