The Transforma Insights Blog

For years, cellular IoT connectivity has often been evaluated through a familiar set of questions: Is there coverage where the device operates? Is the connection reliable enough? How much data will be transmitted, and what will it cost? These questions still matter. But as enterprises introduce more AI into IoT applications, they need to consider another question: is the connectivity arrangement appropriate for the AI application that depends on it? The answer will increasingly depend on what the AI is doing. This blog post explores how IoT connectivity needs to adapt to the needs of AI.

Last week, Ericsson hosted its 2026 Analyst Event in New Delhi, bringing together Ericsson leaders and industry analysts from various organisations. The event provided an opportunity to engage with Ericsson’s management team, exchange perspectives with fellow analysts, and gain deeper insights into the company’s offerings and strategic priorities. Discussions covered a range of key telecom industry developments, including 5G growth in India, the role of reliable networks in healthcare, the business potential of network APIs, networks for AI and AI for networks, and the future of autonomous network operations. The event offered valuable perspectives on the evolving telecom landscape and the opportunities shaping the industry. Some of the key takeaways from the discussions are outlined in this blog post.

Dash cams have traditionally served a relatively simple purpose: recording what happens on the road. However, advances in disruptive digital technologies like artificial intelligence (AI) and IoT are changing the role of these devices. This blog post explores how AI is expanding dash cams beyond their conventional role of recording driving footage, with applications ranging from road-infrastructure monitoring and automated inspections to real-time hazard detection and data-driven maintenance.

In a crowded IoT connectivity market, vertical expertise, contextualisation and managed services offer a route to differentiation. In a recent podcast discussion with Hiran Ravat of Go2SIM, I explored why understanding the customer’s business is becoming just as important as the connectivity technology itself.

Price erosion has been a prevailing trend for cellular connectivity for the last 15 years. In this blog post Jim Morrish explores some of the implications for how commoditisation of the underlying service has driven greater innovation and differentiation in technical capabilities, service quality and TCO.

Mobile operators have invested heavily in their telecom infrastructure, including deploying advanced antennas and radio units that improve coverage and signal quality, rolling out 5G SA and NSA networks, and acquiring spectrum. The motivation from the telecom industry is to innovate, develop and offer advanced and improved services to help prevent identity fraud, deliver enriched user experiences, and equally important if not more, to create new revenue opportunities to recover investments in the deployment of 5G networks. Cellular networks APIs (application programming interfaces) could help them in unlocking additional revenue from these advanced network technologies. This blog explores what cellular network APIs are, key drivers of adoption, how 5G makes it easier to expose network APIs and the network API ecosystem. For more information on this topic, please read Transforma Insights’ recently published report: ‘Cellular network APIs: incorporating network data into IoT applications’.

Usage-based insurance (UBI) has become an established part of the motor insurance market in several countries, particularly Italy, the UK and the US. By linking premiums more closely to how, where and how much a vehicle is driven, UBI gives insurers access to information that traditional insurance models cannot capture and provides drivers with the potential to influence their insurance costs through their driving behaviour.

Artificial Intelligence is moving from experimentation to being an increasingly important part of industrial technology portfolios. As manufacturers look to apply AI across engineering, production, maintenance and operations, industrial technology vendors are responding by embedding AI into existing products, developing purpose-built applications, acquiring complementary capabilities and investing in the data and software infrastructure needed to support them. The result is not simply a wave of new AI features, but a broader evolution in how industrial technology is developed and delivered. This blog highlights some of the key trends on how vendors are advancing their products and portfolios as AI becomes increasingly embedded in industrial environments.

As energy infrastructure moves further into remote, challenging and increasingly distributed environments, reliable connectivity is becoming a critical enabler of operations. From oil and gas wells and pipelines to renewable energy installations and mobile field assets, organisations need to monitor, manage and control equipment wherever it is located, including places where terrestrial cellular networks simply don't reach.

In a previous blog post on IoT network anomaly and threat detection (ATD), we briefly discussed the need for IoT network ATD solutions, the key security challenges relevant in the IoT context, and how such solutions protect connected device ecosystems. In this blog post, Paras Sharma discusses the capabilities of vendors in the IoT network ATD world and provides a snapshot of vendors, each looking to combat the inevitable security issues pertaining to IoT devices.