PUBLISHER: TechSci Research | PRODUCT CODE: 1881499
PUBLISHER: TechSci Research | PRODUCT CODE: 1881499
We offer 8 hour analyst time for an additional research. Please contact us for the details.
The Global O-RAN Near-Real-Time RAN Intelligent Controller Market, valued at USD 5.38 Billion in 2024, is projected to experience a CAGR of 40.74% to reach USD 41.81 Billion by 2030. The O-RAN Near-Real-Time RAN Intelligent Controller (Near-RT RIC) is a software-defined component within the Open Radio Access Network (O-RAN) architecture, enabling near-real-time control and optimization of RAN elements and resources through programmable applications known as xApps.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 5.38 Billion |
| Market Size 2030 | USD 41.81 Billion |
| CAGR 2025-2030 | 40.74% |
| Fastest Growing Segment | Centralized |
| Largest Market | North America |
Key Market Drivers
The global O-RAN Near-Real-Time RAN Intelligent Controller market is primarily shaped by the acceleration of global 5G network deployments and the increasing adoption of open and disaggregated network architectures. The rapid expansion of 5G technology necessitates advanced RAN intelligence to manage network complexity and deliver on its promise of diverse services, from enhanced mobile broadband to ultra-reliable low-latency communications. Near-RT RICs are crucial for dynamic optimization, adapting network resources in real time to meet fluctuating demands. According to the Ericsson Mobility Report, in Q3 2024, global 5G subscriptions reached 2.1 billion, demonstrating the extensive foundation for RIC solutions.
Key Market Challenges
The inherent integration complexity within multi-vendor O-RAN environments poses a significant challenge, particularly due to evolving interface standards and the requirement for seamless interoperability across diverse hardware and software components. This integration complexity directly hampers the growth of the Global O-RAN Near-Real-Time RAN Intelligent Controller Market. The extensive testing and development necessitated by this challenge prolong deployment timelines and increase initial implementation efforts for network operators. Such hurdles discourage rapid adoption of Near-RT RIC solutions because the substantial resource investment required to integrate disparate vendor components into a functional O-RAN architecture represents a considerable barrier.
Key Market Trends
Advanced AI/ML integration for autonomous RAN optimization is significantly influencing the Global O-RAN Near-Real-Time RAN Intelligent Controller market. This trend moves beyond traditional automation to implement self-optimizing networks capable of dynamic adjustment and predictive maintenance, thereby improving network efficiency and resource management in complex 5G environments. For instance, the ETSI ISG ENI published deliverable ENI 035 "Categorization of AI for IP networks" in December 2023, which helps standardize AI's role in network management. Operators such as Telefonica are actively pursuing this, with the company expecting to achieve Level 4 autonomous networks in key use cases, including RAN optimization, by 2025, according to a Mobile Europe report from September 2025.
In this report, the Global O-RAN Near-Real-Time RAN Intelligent Controller Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies presents in the Global O-RAN Near-Real-Time RAN Intelligent Controller Market.
Global O-RAN Near-Real-Time RAN Intelligent Controller Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: