Not all telcos need to build their own AI factories
Recently, several telcos made the news with AI factory initiatives. We outline the reasons and the approaches to these investments.
Recently, several telcos made the news with AI factory initiatives. We outline the reasons and the approaches to these investments.
No one can foresee how and when import tariffs will stabilise – but some
long-term implications are starting to arise.
Mobile operators have used intelligence in their networks and OSS for a while. What has changed recently is how new techniques (e.g., generative AI and/or agentic AI) can be applied, often on top of traditional methods, to accelerate the use of AI in the network domain and move telcos along their journey to higher levels of network autonomy. This forecast estimates the value for vendors of selling AI-enabled solutions to mobile operators to support their network and OSS processes.
Most large-scale deployments of virtualised RAN (vRAN) at Tier 1 telcos are currently based on single-vendor architecture. But operators are deploying vRAN in innovative ways that aim to preserve many open RAN benefits. This report looks at the current status of vRAN and open RAN deployments as well as the increasing awareness of the importance of deploying cloud-native RAN across multiple containers-as-a-service (CaaS) layers.
Consumers need protection from fast-evolving cyber threats. Telcos are in a position to deliver credible solutions to this attractive market, building both increased consumer loyalty and new revenue streams.
Taken in isolation, investment in 5G has thus far failed to deliver on its promises – both technically and commercially. In this combined market forecast for edge computing, private networks and telecom APIs until 2030, we identify how telcos can leverage all their assets to help deliver on the original ambitions of 5G.