Telco AI: State of the Market, Q4 2024
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Progress and the return-on-investment question
This is the third report in a four-part series on AI strategy in telecoms. The series identifies the parts of the innovation cycle that matter most, and how they translate into commercial activity and possible changes in corporate strategy.
AI is reshaping telecoms operations worldwide, offering a mix of opportunities and complex challenges. This edition examines current AI transformation in the industry, highlighting progress and key areas for improvement, with strategic insights and actionable takeaways. Understanding how to measure returns is paramount to ensuring sustainable value creation. This research therefore discusses methods to measure the impact of AI transformation.
Related research
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
Edge AI: how IoT hardware and connectivity companies can drive ecosystem adoption and scale
Edge AI has gained major momentum during 2024–2025 as Qualcomm, Nordic Semiconductor, Synaptics and many others have launched significant innovations in edge silicon and hardware. This report focuses on the industrial IoT part of the market.
AI opens a new front in the fight against unwanted calls to fixed lines
Although the number of unwanted calls to fixed lines has been decreasing due to efforts from stakeholders (including operators, network and customer-premises equipment vendors and regulators), the emergence of AI, especially generative AI, could reverse this trend while also making consumers more vulnerable to scams. However, AI can also be used to tackle the scourge of unwanted calls. In this report, we examine the approach taken by key stakeholders in various countries, notably the UK and the US, highlighting some of the risks and opportunities in the struggle against unwanted calls.
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Learn moreRelated research
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
Edge AI: how IoT hardware and connectivity companies can drive ecosystem adoption and scale
Edge AI has gained major momentum during 2024–2025 as Qualcomm, Nordic Semiconductor, Synaptics and many others have launched significant innovations in edge silicon and hardware. This report focuses on the industrial IoT part of the market.
AI opens a new front in the fight against unwanted calls to fixed lines
Although the number of unwanted calls to fixed lines has been decreasing due to efforts from stakeholders (including operators, network and customer-premises equipment vendors and regulators), the emergence of AI, especially generative AI, could reverse this trend while also making consumers more vulnerable to scams. However, AI can also be used to tackle the scourge of unwanted calls. In this report, we examine the approach taken by key stakeholders in various countries, notably the UK and the US, highlighting some of the risks and opportunities in the struggle against unwanted calls.
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