Although cellular network coverage is now near ubiquitous in terms of the planet’s population, 85% of the Earth’s surface is still not covered by the technology, significantly hampering IoT use cases. What’s needed is the means to ensure connectivity globally regardless of locations and that means on the oceans, up the mountains and across the deserts. There are a vast range of IoT use cases from mining to agriculture to shipping and logistics to telematics to asset tracking and monitoring that rely on non-cellular connections where coverage is unavailable. Satellite connectivity is the go-to technology, but adoption has been hampered by the cost barriers associated with the technology. The good news is that this is changing in two significant ways. One is the launch of more and more satellites to provide even greater capacity and coverage. The other is the emergence of systems to efficiently manage satellite utilisation and aggregate IoT messages and data transmissions. IoT devices don’t need to take out individual satellite subscriptions, they only need to communicate when the use case demands so there’s an opportunity to provide platforms for the efficient management of satellite coverage and connections for IoT devices.
This Handbook will detail the new satellite landscape, taking into account the innovative satellite systems being deployed in LEO constellations and non-terrestrial networks. We’ll look at how these technologies are being applied to IoT use cases and assess how satellite is becoming a mainstream part of the connectivity mix for IoT applications. The Handbook will assess platforms and solutions for managing satellite IoT connectivity and introduce your Satellite IoT offering. The Handbook will look ahead to the future to understand how satellite-related innovations are transforming IoT connectivity and performance across the entire planet’s surface, not just the populated areas.

AI has fantastic potential to transform industries, automating tedious tasks and enabling new approaches to processes. Some use cases are for the future but, by learning how to use tools such as Copilots for GenAI, companies of all types can gain greater understanding of AI’s potential and prepare effectively for new use cases. Amid all the excitement there are still operational issues to address from enforcing AI policies to setting limits and controls on how the technology is utilised. Don’t forget, AI isn’t free so use cases must be balanced against the cost of applying AI to them. This report will look ahead to identify the full potential of AI and also explore how to get there by building the skills, infrastructure, systems and tools needed to make applying AI safe, robust and secure.