Dell’Oro Group’s AI RAN Advanced Research Report provides a 5-year market forecast tracking how artificial intelligence is being incorporated into RAN infrastructure and how this evolution is shaping the broader RAN market. The research covers AI across RAN hardware, software, and architectures, including Cloud RAN, vRAN, and Open RAN.
The research focuses on the infrastructure-driven portion of the AI RAN opportunity, where adoption is most visible and measurable today. It examines AI RAN adoption by technology, compute location, AI RAN tenancy, compute hardware, and region, as well as how AI integration is influencing product strategies, deployment models, and competitive dynamics across the RAN ecosystem.
It focuses on the infrastructure-driven portion of the AI RAN opportunity, where adoption is most visible and measurable today, examining how AI is being integrated into existing and emerging RAN architectures and how this is shaping product strategies, deployment models, and competitive dynamics across the RAN ecosystem.
AI is expanding the role of the RAN—from a connectivity layer optimized for performance and efficiency to a more adaptive platform capable of supporting differentiated services. While adoption remains in the early stages, understanding how AI translates into measurable changes in network performance, spending, RAN economics, and vendor positioning is critical to assessing the market’s long-term trajectory.
To take advantage of the opportunities in this market, component manufacturers, equipment vendors, service providers, and financial institutions need to answer critical business questions, including:
Market projections for Centralized and Distributed AI RAN
Adoption trends across North America, EMEA, China, and Asia Pacific
AI RAN adoption for single-purpose and multi-purpose scenarios
AI RAN forecasts for 6G and 4G/5G
