O-RAN Near-Real-Time RAN Intelligent Controller Market is expected to grow at a CAGR of 51.62% through 2029F

The increasing global O-RAN Near-Real-Time RAN intelligent controller market is driven acceleration of 5g deployments and demand for network flexibility, shift towards open and disaggregated network architectures during the forecast period 2025-2029F.

According to TechSci Research report, “O-RAN Near-Real-Time RAN Intelligent Controller Market - Global Industry Size, Share, Trends, Opportunity, and Forecast 2029F", The Global O-RAN Near-Real-Time RAN Intelligent Controller Market was valued at USD 4.53 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 51.62% through 2029F. The global O-RAN Near-Real-Time RAN Intelligent Controller (Near-RT RIC) market is undergoing significant transformation driven by the shift towards open, disaggregated network architectures. A major driver of this market is the acceleration of 5G deployments and the increasing demand for network flexibility. The widespread rollout of 5G networks presents a substantial opportunity for Near-Real-Time RIC solutions, as operators seek agile and scalable architectures to support the varied requirements of 5G services. Near-Real-Time RICs enable operators to dynamically orchestrate and optimize network resources, allocate bandwidth efficiently, and deliver enhanced Quality of Service (QoS) to meet the needs of bandwidth-intensive applications such as augmented reality (AR), virtual reality (VR), and ultra-high-definition video streaming. The shift towards open and disaggregated network architectures further drives the adoption of Near-Real-Time RICs, as operators embrace openness, interoperability, and vendor neutrality to foster innovation, reduce vendor dependency, and accelerate network deployments. Additionally, there is a growing demand for intelligent orchestration and optimization solutions within the telecommunications industry to enhance network performance, improve user experience, and reduce operational costs. Near-Real-Time RICs play a crucial role in this, leveraging advanced algorithms, analytics, and automation to intelligently manage and optimize network resources in real-time. By dynamically adjusting network parameters, optimizing traffic routing, and prioritizing critical applications, Near-Real-Time RICs help operators maximize network efficiency and capacity, ensure consistent and reliable connectivity, and differentiate their services in a competitive market.

Advancements in artificial intelligence (AI) and machine learning (ML) technologies are also driving innovation in the O-RAN Near-Real-Time RIC market. These technologies allow operators to utilize AI/ML-driven analytics and insights to predict network performance, proactively identify and address potential issues, and optimize network operations for improved efficiency and reliability. Despite promising growth, the global O-RAN Near-Real-Time RIC market faces several challenges. Interoperability complexities and standardization issues arise as operators deploy solutions from multiple vendors and integrate them with existing network infrastructure. These issues can delay deployments, increase costs, and affect performance, necessitating collaboration among industry stakeholders, standards bodies, and regulatory authorities to develop common specifications, test methodologies, and certification programs for seamless interoperability.

Security concerns in open RAN environments also pose significant challenges. The disaggregation of hardware and software components in O-RAN architectures introduces new security risks, such as unauthorized access, data breaches, and denial-of-service attacks. Securing Near-Real-Time RIC deployments requires robust authentication mechanisms, encryption protocols, access controls, and security monitoring tools. Operators must implement comprehensive security measures and adhere to industry best practices to mitigate these risks and ensure the integrity, confidentiality, and availability of their deployments. Integration challenges with existing RAN infrastructure and the complexity of AI/ML integration present significant hurdles. Addressing these challenges requires strategic planning, investment in robust solutions, and collaboration among stakeholders to ensure seamless integration, optimize AI/ML-driven network optimization efforts, and maximize the value of Near-Real-Time RIC deployments in the telecommunications industry.

Browse over XX market data Figures spread through XX Pages and an in-depth TOC on the "Global O-RAN Near-Real-Time RAN Intelligent Controller Market"

Based on deployment, Centralized segment dominates in the global O-RAN Near-Real-Time RAN Intelligent Controller market in 2023. Centralized deployment involves consolidating the Near-RT RIC functions and intelligence in a centralized location within the network architecture. This model facilitates the concentration of processing power, decision-making capabilities, and resource orchestration in a central data center or cloud environment. The pivotal advantage of centralized deployment is the enhanced ability to manage and optimize the entire radio access network (RAN) from a unified and centralized point, fostering efficient resource utilization and network-wide coordination.

One of the primary drivers behind the dominance of centralized deployment is its alignment with the principles of network efficiency and resource optimization. By centralizing the Near-RT RIC functions, operators gain the ability to holistically manage and dynamically allocate resources across a wide geographic area. This centralized control enables the optimization of radio resources, spectrum allocation, and traffic management, contributing to improved network performance, reduced interference, and enhanced quality of service. Centralized deployment is particularly well-suited for scenarios where a large-scale and comprehensive view of the network is essential. This is especially relevant in the context of 5G networks, where the orchestration of a multitude of services, diverse use cases, and varying quality of service requirements necessitates a centralized approach. The centralized model allows operators to efficiently adapt to changing network conditions, allocate resources based on real-time demand, and ensure optimal user experiences across the entire coverage area. The centralized deployment of Near-RT RIC aligns with the ongoing industry trends favoring cloud-native architectures and edge computing. By leveraging centralized cloud resources, operators can benefit from scalability, flexibility, and cost-effectiveness. This model facilitates the seamless integration of Near-RT RIC with cloud-native technologies, enabling operators to scale resources dynamically and support the rapid deployment of new services.

While the distributed deployment model remains relevant for specific use cases, such as edge computing scenarios or environments with stringent latency requirements, the dominance of centralized deployment in the O-RAN Near-Real-Time RAN Intelligent Controller market reflects the broader industry shift towards centralized intelligence and resource orchestration. The scalability, efficiency gains, and adaptability offered by centralized deployment make it the preferred architecture for harnessing the full potential of Near-RT RIC in addressing the complexities and demands of modern communication networks. As the telecommunications landscape continues to evolve, the centralized deployment of Near-RT RIC stands as a cornerstone in the pursuit of intelligent, responsive, and efficient radio access networks.

Based on region, Asia Pacific is the fastest growing region in the global O-RAN Near-Real-Time RAN Intelligent Controller market during the forecast period. Asia Pacific is at the forefront of 5G network deployments, with countries like China, South Korea, Japan, and India leading the way in rolling out 5G infrastructure and services. As operators in the region strive to deliver high-speed connectivity, ultra-low latency, and massive device connectivity promised by 5G technology, there is a growing demand for advanced network optimization and orchestration solutions like Near-Real-Time RICs. These solutions enable operators to dynamically manage network resources, optimize performance, and deliver enhanced user experiences in 5G networks. Governments across Asia Pacific are actively promoting the adoption of open and interoperable network architectures, including O-RAN, through supportive policies, regulatory incentives, and funding initiatives. For example, countries like Japan and India have launched initiatives to encourage the adoption of O-RAN architectures, while regulatory bodies in China have issued guidelines to promote O-RAN deployments and collaboration among industry stakeholders. This government support and regulatory encouragement create a conducive environment for the growth of the O-RAN Near-Real-Time RIC market in Asia Pacific. Asia Pacific is experiencing rapid growth in telecommunications infrastructure, driven by increasing internet penetration, smartphone adoption, and digital transformation initiatives across various industry verticals. As operators invest in expanding their network footprint and upgrading existing infrastructure to support emerging technologies and applications, there is a rising demand for intelligent network management and optimization solutions like Near-Real-Time RICs. These solutions enable operators to maximize the efficiency and performance of their networks, deliver innovative services, and stay competitive in the rapidly evolving telecommunications market. Asia Pacific is home to a vibrant ecosystem of technology vendors, telecom operators, and research institutions driving innovation in the telecommunications industry. With a strong focus on technological advancement and digital innovation, the region is well-positioned to adopt cutting-edge solutions like Near-Real-Time RICs to address the evolving needs of 5G networks and beyond. As operators in Asia Pacific seek to differentiate themselves in the market and capitalize on new revenue opportunities, they are increasingly turning to advanced network optimization and orchestration solutions to enhance their service offerings and improve operational efficiency.

Key market players in the global O-RAN Near-Real-Time RAN Intelligent Controller market are: -

• Nokia Corporation
• Rakuten Mobile, Inc.
• Samsung Electronics Co., Ltd.
• Sterlite Technologies Limited
• Telefonaktiebolaget LM Ericsson
• IS-Wireless
• Parallel Wireless, Inc.
• VIAVI Solutions Inc.
• HCL Technologies Limited
• Casa Systems, Inc.

Download Free Sample Report

Customers can also request for 10% free customization on this report.

“The market for Global O-RAN Near-Real-Time RAN Intelligent Controllers (Near-RT RIC) is experiencing significant growth, especially with the rise of 5G and open network setups. Near-RT RIC plays a crucial role by dynamically managing radio access networks, making resource use more efficient. North America leads in this market due to its technological advancement and swift adoption of 5G. The xApp Framework is noteworthy for its adaptability to different programming languages. Most deployments are centralized, following the trend of cloud-native solutions for better scalability. Collaboration is key to addressing security concerns, highlighting the industry's dedication to creating smart, adaptable, and open radio access networks”, said Mr. Karan Chechi, Research Director of TechSci Research, a research-based global management consulting firm.

“O-RAN Near-Real-Time RAN Intelligent Controller Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (A1 Mediator, Demo1, E2 Manager (E2M), E2 Terminator (E2T), Logging, RIC Alarm System, RIC Message Router (RMR), RNIB, Routing Manager, xApp Framework for CXX, xApp Framework for Go, xApp Framework for Python), By Deployment (Centralized, Distributed), By Region, and By Competition 2019-2029F”, has evaluated the future growth potential of Global O-RAN Near-Real-Time RAN Intelligent Controller Market and provides statistics & information on market size, structure, and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global O-RAN Near-Real-Time RAN Intelligent Controller Market.

Contact

TechSci Research LLC

420 Lexington Avenue,

Suite 300, New York,

United States- 10170

M: +13322586602

Email: [email protected]