Telco AI: State of the Market, Q3 2024
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AI and energy efficiency
This is the second report in a four-part series on AI strategy in telecoms. The research identifies the parts of the innovation cycle that matter most, and how they translate into commercial activity and possible changes in corporate strategy.
The telecoms industry stands at a critical juncture, where the push for energy efficiency intersects with rapid technological advancements. This latest edition of the AI series dives into the vital role of AI in enhancing energy efficiency within the telecoms sector, offering actionable insights and practical use cases that highlight how AI can reduce operational energy demands.
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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.
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Learn moreRelated research
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
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.
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