Telcos can benefit greatly from the potential to carry and process distributed AI workloads. However, they need to play smart and invest carefully
STL Partners forecasts that the total addressable market for edge computing will reach USD424 billion by 2030, growing at a compound annual growth rate (CAGR) of 32% projected over the next six years.
STL’s latest research suggests that delays in data centre construction can cost developers as much as USD14.2 million per month.
Our latest research is based on a recent survey of 826 IT decision-makers in SMBs, conducted across seven advanced markets in Western Europe, North America and Australia.
In its first-ever Edge AI market forecast, the analyst powerhouse suggests that the market will be rising by a compound annual growth rate (CAGR) of 19% during the period, demonstrating the huge demand for solutions that support future developments of AI applications.
To help address the lack of familiarity with their potential, telcos need to strike “a fine balance” between demonstrating new capabilities and delivering services in a way that developers are already familiar with.
STL Partners expects there will be more than 1800 network edge data centres by 2028, growing at a compound annual growth rate (CAGR) of 22% over the four-year period.
STL Partners has seen a significant increase in the adoption of generative AI (GenAI) by telecom operators worldwide between August and November 2024, marking the swift prevalence of the technology far and wide.
AI is seen as a key driver for adoption at the edge – and inferencing is better suited to edge environments in comparison with model training, according to the latest survey conducted by STL Partners.
Drawing insights from more than 70 companies globally, STL Partners’ latest update to its ‘Sustainability scorecard’ offers a holistic overview of the maturity in sustainability reached by telcos and their peers.
Telco generative AI implementations have quadrupled between May and August 2024, with STL Partners tracking over 200 launches.
STL Partners dives deep into the current positioning of three hyperscalers on their level of success in convincing operators to migrate to the public cloud