AI-RAN Automation Spending to Hit $1.1 Billion by 2030
Global mobile operators are increasingly deploying AI-based systems to boost network efficiency and reduce operational costs.
Updated on Oct. 28, 2026 in Robotics
Live Poll
Do you trust that moving toward fully autonomous AI-managed networks makes critical services more reliable?
Annual global spending on AI-RAN automation is projected to reach $1.1 billion by 2030. Mobile operators are adopting these technologies to automate radio access networks, targeting higher autonomy in infrastructure management.
Why it matters
Radio access networks represent a significant portion of mobile infrastructure expenses and energy consumption. Automating these systems helps providers streamline operations as they prepare for future AI-native 6G network designs.
Current deployments have demonstrated energy savings of 20% and a 60% reduction in cell outages during major events. Operators are utilizing rApps on non-real-time RAN controllers to manage these multi-vendor environments.
The players
SNS Telecom & IT
This organization is a research firm that specializes in providing market intelligence and forecasts for the global telecommunications and information technology sectors.
AT&T
A major multinational telecommunications conglomerate that is currently increasing its adoption of AI-RAN technology to improve network efficiency.
Vodafone
A leading telecommunications provider that is actively implementing AI-driven automation to manage its radio access network infrastructure.
The details
Providers are implementing AI-based real-time optimization via software upgrades on existing RAN platforms using subscription licensing. Major operators including AT&T, Vodafone, and Deutsche Telekom are expanding their adoption of these AI-driven automation tools.
Timeline
The market for AI-RAN automation is expected to experience sustained growth between 2026 and 2030.
Annual spending on the technology is forecasted to reach $1.1 billion by 2030.
The Tech Race
The adoption of AI-RAN automation signifies a move away from legacy manual network management toward intelligent, software-defined operations. This shift positions telecommunications firms to build more responsive systems while competing to meet the technical demands of future 6G networks.
As operators successfully reduce cell outages and energy usage, consumers can expect more reliable mobile connectivity during high-traffic events. These improvements in network infrastructure aim to lower overall service costs through enhanced operational efficiency.
The takeaway
Operators are finding that integrating AI into network management provides immediate practical benefits like improved reliability during surges. Future infrastructure investments will increasingly focus on software-based optimizations to keep pace with these industry-wide efficiency standards.
Further reading
For more information on the evolution of automated systems, visit our Robotics section.
Source note: This article includes information reported by IT Brief Australia.
Live Poll
Do you trust that moving toward fully autonomous AI-managed networks makes critical services more reliable?
