The quantum era is near – and leading telcos are already eyeing the various opportunities this new technology will create. This is the main finding from ‘Q-Beat’, a new tracker of quantum technology deployments across telcos, launched by leading research and consulting company STL Partners.
Telco AI projects have surged tenfold in the past year, with a 41% increase since February 2025, according to a new report by STL Partners. This boom is largely fueled by a strong emphasis on new product development, as telecom operators utilize generative AI to expand revenue beyond traditional connectivity.
STL Partners forecasts a $21bn private network market by 2030, driven by rising deployments and growing application spend, especially in manufacturing and computer vision use cases.
The total addressable market for AI solutions in the mobile network and OSS will grow from USD11.2 billion in 2024 to USD17.6 billion by 2030.
New research finds that single-vendor vRAN is now the main way in which cloud-native RAN is being deployed – but implementations still aim to deliver the benefits of open RAN
New research finds that telcos remain more than six years behind tech companies in building the future-proofing skills.
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.