Actionable Benefits
- Evaluate the development of Agentic Artificial Intelligence (AI) and foundational AI models for Radio Access Network (RAN) automation.
- Understand how RAN automation platforms play a role within the AI-RAN architecture.
- Evaluate the development of Open RAN automation platforms.
Research Highlights
- Forecast of RAN automation annual revenue split into three categories: Service Management and Orchestration (SMO) & Non-Real-Time Radio Intelligent Controller (Non-RT RIC), Near-RT RIC, and proprietary automation.
- Breakdown of the necessary automation and orchestration within the AI-RAN architecture.
- Assessment of market developments in developing foundational AI models and Agentic AI systems for RAN automation.
Critical Questions Answered
- What impact will Large Language Models (LLMs) and Agentic AI have on RAN automation?
- How is Open RAN automation maturing and how are operators likely to deploy the platforms?
- What role will existing automation platforms play in the new AI-RAN architecture, and what is the need for a new orchestration platform?
Who Should Read This?
- Executives within telecommunications operators building long-term company strategies.
- Decision makers of developing RAN automation technology.
- Executives within automation software companies planning their product development strategy.
Companies Mentioned
Related Insights
It’s Time for Data Management Companies to Take a More Proactive Role in Helping Telcos with RAN Automation
Insight | 2Q 2025 | IN-7762
End-to-End Cloud-Native Automation Poised to Redefine Telco Networks—How Should CSPs Forge Ahead?
Insight | 3Q 2023 | IN-7002
How Do CSPs Start Their 5G Automation Journey?
Insight | 1Q 2022 | IN-6355
Related Research
5G RAN Automation Platforms: Commercial Strategies
Report | 1Q 2025 | AN-5975
5G RAN Automation Platforms: Use Cases for Network Operations
Report | 1Q 2025 | AN-5972
5G RAN Automation Market Data Overview: 1Q 2025
Presentation | 1Q 2025 | PT-2860