Mobile network API monetisation forecast 2025–2030: Identity gets real

Enterprise Platforms

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In this forecast, we estimate the potential revenues for telecom operators from the commercialisation of mobile network APIs. We assess the opportunity across five API families, covering 26 individual APIs and 53 use cases.

About STL Partners’ network API monetisation forecast – third release

This report presents the analysis of the third yearly release of our forecast for network API monetisation. The forecast is based on a bottom-up model analysing the demand for 26 network APIs from 53 main use cases. It shows the projected spend in 33 countries, seven regions and worldwide over the period from 2025 to 2030.

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The value of network APIs will reach USD31.6 billion by 2030

High-level findings from the analysis indicate that:

  • GSMA’s Open Gateway continues to be the driving force behind network APIs in 2026.
  • The standards-led nature of the opportunity today benefits the APIs that go through indirect channels, such as the identity family, particularly as existing channels provide an easy route to market.
  • The industry has been slow to rally behind APIs in the other families where there are not as clear existing use cases to go after, except for location verification in the location family and connectivity status in the device status family, both of which are relevant to the same authentication and anti-fraud use cases as the identity APIs.
  • In line with the broader industry trend, the conversation is also turning to AI, with key players positioning identity APIs as trust infrastructure.
  • APIs in the network performance, edge and device status families address emerging use cases rather than existing markets, creating new value with longer-term growth potential than identity APIs.

Mobile network API revenues, by API family, 2025-2030

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Table of contents

  • Executive summary
  • Analysis of APIs
  • Analysis of use cases
  • Methodology
  • Appendix

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Amy Cameron

Author

Amy Cameron

Research Director

Amy works with world-leading operators and tech companies to define opportunities and strategies in the B2B and AI fields. She leads STL Partners’ research into application of AI in telecoms, as well as the Growing Enterprise Revenues research stream.