AI in IoT: case studies and analysis
This report profiles nine IoT connectivity providers and four hardware or software providers. It examines the different AI strategies being pursued, the assets being used to deploy them and the lessons that other IoT providers can apply when developing their own AI strategies.
Questions answered in this report
- How are IoT providers approaching the AIoT opportunity?
- How are providers attempting to monetise AI capabilities?
- Which AI capabilities may provide sustainable differentiation?
- How are providers addressing uncertainty around AIoT deployment architectures?
- What lessons can telecoms operators, mobile virtual network operators (MVNOs) and mobile virtual network enablers (MVNEs) draw from early AIoT deployments?
USD5499
Log in to check if this content is included in your content subscription.
Author
Mary Saunders
AnalystRelated items
Article
Edge-dependent, physical AI use cases place new requirements on IoT connectivity providers
Article
IoT providers can differentiate by simplifying IoT adoption and partnering to control costs
Tracker
IoT/M2M revenue and connections tracker 1H 2026
