Research Centre

Kaleido’s latest perspectives report discusses how traditional approaches to IoT connectivity are now being phased out as a result of increasing regulatory pressure on enterprises. Data sovereignty and localisation requirements have now moved beyond permanent roaming and personal data regulations, and are increasingly applied to business IoT data.

The report examines how AI training and inference by enterprises introduces a new paradigm, which further disrupts mobile network architecture considerations. Countries and regions are establishing sovereign AI concepts, with enterprises already cognisant of the need for localised solutions. In addition to this, AI workloads bring a set of new demands towards connectivity service providers, with an associated revenue opportunity.

The report concludes with an evaluation of 8 connectivity service providers that own or operate their own core network infrastructure for IoT. This provides a technical analysis of capabilities, with a focus on delivering against data sovereignty, resilience and AI workload requirements.

Readers will receive the following insights:

How do regulations impact the need for localisation?
What considerations should be placed into core network design?
What role does AI play in the need for localisation?
How does AI impact service providers looking to deliver ‘network for AI’ services?
How are players presently positioned on the market to deliver against emerging, complex enterprise IoT requirements?

Access the Report:

Members will be able to access the research directly through the Member Zone.

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Kaleido’s Perspectives research series provides a gateway to future-tech exploration and revenue generation opportunities for mobile operators.

Get in touch with our consulting team to understand the forces shaping mobile innovation, future technologies and sustainability and equip your business unit with the tools to drive transformative change.