Actionable Benefits
- Gain insight into the evolving Artificial Intelligence (AI)-Radio Access Network (RAN) landscape, including emerging technologies, deployment models, and market dynamics.
- Recognize growth opportunities and challenges across regions and verticals to shape go-to-market strategies.
- Identify the leading vendors, operators, and stakeholders driving AI-RAN innovation through their involvement in the AI-RAN Alliance.
Research Highlights
- AI-RAN revenue forecasts from 2025 to 2032.
- Regional overview of AI-RAN developments.
- Profiles of select companies innovating for AI-RAN.
- Comparative analysis of processing architectures (GPU versus CPU) and deployment models (centralized versus distributed) shaping AI-RAN evolution.
Critical Questions Answered
- Who are the key members of the AI-RAN Alliance, and what is the alliance’s purpose and strategic vision?
- What are the prospects and trade-offs of Graphics Processing Unit (GPU)-based RAN versus Central Processing Unit (CPU)-based architectures in AI-driven networks?
- What are the core focus areas of the three AI-RAN Alliance working groups, and which are closest to practical deployment?
Who Should Read This?
- Commercial strategists within network vendors seeking to minimize the gap between AI-RAN innovation and implementation.
- Planners within Communication Service Providers (CSPs) who need to chart a path for RAN transformation.
- Investors and other stakeholders of AI-RAN transformation seeking a succinct primer on AI-RAN concepts and market path.
Companies Mentioned
