PUBLISHER: Analysys Mason | PRODUCT CODE: 1399837
PUBLISHER: Analysys Mason | PRODUCT CODE: 1399837
"CSPs view cost reduction, spectrum optimisation, quality-of-service improvement and new service enablement as the most important drivers for investing in AI in the RAN."
This report is based on a survey of 36 mobile or converged communications service providers (CSPs) that was conducted in 3Q 2023. Based on the key findings from this survey, the report provides insights into CSPs' motivations to adopt RAN AI, and to address the shortcomings of previous approaches to RAN automation. It includes unique data on the use cases that CSPs will prioritise as they seek to increase their levels of RAN automation, from an average of less than 20% of processes in 2023, to a targeted average of about 70% by 2027. It also examines the challenges that CSPs will need to address before they deploy RAN AI at scale, and the type of vendors they expect to work with.