AI-RAN Market Hits Significant 28.1% Growth

What is the AI-RAN Market Size?

The global AI-RAN market size reached at USD 3 billion in 2025 and is forecasted to garner around USD 36.35 billion by 2035 growing at a CAGR of 28.1% from 2026 to 2035.

Artificial Intelligence Radio Access Network (AI-RAN) offers ideas related to the use of artificial intelligence (AI) and machine learning (ML) technology integrated with radio access networks (RAN). The application of these technologies enables automation, optimization, and enhancement of the performance of wireless networks. The growth opportunities within the AI-RAN marketplace are substantial; therefore, there is an increasing need for AI-RAN value-added services due to the increasing complexity of networks.

As telecoms and mobile networks expand due to the demand for more mobile data services as a result of IoT and 5G service delivery, operators will continue to experience increased complexity in their networks. The demand for self-optimizing, self-healing networks, along with the need to provide additional capacity through open access networks (OAN) and cloud-based telecom infrastructures, will continue driving the growth of AI-RAN technologies. Over time, AI-RAN is anticipated to be a core technology that empowers the next generation of networks that are capable of operating and utilizing intelligent automation, reducing operational costs, improving spectrum utilization, and providing a superior user experience.

AI-RAN Market Statistics

• The software industry held a dominating position of 41% of the total market in 2025, driven by the demand for artificial intelligence automation and advanced analytics along with increased orchestration of networks due to complexity in the telecom telecommunication sector. 
• The hardware segment, the second-largest portion at 35% of the overall market, showed explosive growth due primarily to an upsurge in capital outlays for GPU accelerators, artificial intelligence (AI) accelerators, and edge computing to process data in real-time. 
• On-premise deployment was still the frontrunner, comprising 53% of the total deployment market in 2025, reflecting a commitment from telecom corporations that prioritize maximum data security and highly controlled networks as well as very low latency network operations. 
• Cloud deployment reached 47%, so strong momentum is developing towards cloud-native telecom architectures and a much greater partnership with hyperscale cloud services organizations. 
• Open RAN continued to be the very dominating player in the entire network architecture, capturing 46% of the total market, reflecting the movement of the entire industry towards developing a more open, interoperable and vendor-independent telecom ecosystem. 
• Telecom corporations accounted for 72% of total users in 2025 indicating the importance of telecoms as a driving force behind adopting AI RAN technologies to help accommodate the growing complexity of the 5th generation of wireless traffic services. 
• The enterprise end-user segment is comprised of 18% of total end-users and is continuing to grow rapidly as companies transition to using private 5G technologies for industries such as advanced manufacturing, distribution, and other advanced industrial 4.0 use cases.

What are the AI-RAN Market Dynamics?

Energy Efficiency and Sustainable Telecom Networks to Offer Potential for AI-RAN Market

With the introduction of 5G networks, there has been an increase in the number of base stations, edge data centers and computing infrastructure, which have all had an impact on energy consumption and will continue to do so. Telecom operators are facing higher energy prices and greater pressures to meet their carbon reduction and sustainability targets, which will lead them to use energy-efficient technologies. AI-RAN can provide an excellent opportunity for telecoms to implement intelligent energy management in their network infrastructure. 

AI algorithms can adjust network resources dynamically using real-time traffic demand, thus allowing base stations that are underutilized to be turned off or for loads to be shifted to a more efficient site. AI-based energy optimization will also be able to reduce energy consumption during off-peak times, optimize cooling systems within data centres, and improve hardware utilization. A number of telecom operators are currently experiencing significant reductions in energy consumption across their networks using AI-based optimization.

AI-RAN Market Segmentation

The global AI-RAN market has been segmented into component, deployment, network architecture, end user and region.

• Component is classified into hardware, software and services.
• Deployment is divided into cloud-based and on-premise
• Network architecture is classified into open RAN, vRAN and hybrid RAN
• End user is classified into telecom operators, enterprises and government & defense
• Geographically, the AI-RAN market is split into Europe, North America, Latin America, APAC, and the Middle East and Africa

AI-RAN Market Regional Outlook

Why does North America dominates in the AI-RAN Market?

North America is an advanced & mature region for adoption of AI-RAN as well as a leader in adoption due to the rapid rollout of 5G technology; strong research ecosystems for AI; and collaboration among telecommunications operators, cloud service providers, & semiconductor manufacturers. The region continues to lead worldwide in cloud-native Network Transformations, Open RAN pilot trials, & the deployment of large-scale, private 5G networks in both the enterprise & public infrastructure sectors.

Why is Asia Pacific is observed to grow at the fastest rate in the AI-RAN market?

Asia Pacific is observed to grow at the fastest rate in the market during the forecast period due to its massive base of network subscribers and strong government backing for digital transformation, especially in developing areas. The introduction of smart cities and industrial automation has also helped the market’s overall expansion. Additionally, presence of major telecom vendors and acceleration into AI-enabled network deployment play crucial role in the industry. 

Key Countries in AI-RAN Market

• United States: The largest market in North America for AI-RAN adoption, rapidly deploying the 5G networks, has the largest number of partnerships with hyperscale cloud providers, and invested heavily in AI-enabled automation & research related to the future 6G mobile network. 
• Canada: Achieving technological advancements in AI telecoms innovation through Government supported digital infrastructure programs by both Gas and Electricity Utilities as well as the increasing adoption of private, 5G across numerous industry sectors.
• China: Aiming for the extensive establishment of 5G telecom networks, while also investing heavily in AI-powered telecom networks and smart cities. 
• Japan: Concentrating on leadership in Open RAN as well as conducting research on 6G technologies. 
• South Korea: Utilizing its head start in 5G networks to implement AI-driven solutions for automating networks and developing edge computing. 
• India: Growing quickly with their wireless networks through national digital initiatives, as well as experiencing higher levels of use of private 5G by various sectors.

Who are the Top Players in AI-RAN Market?

The AI-RAN market is heavily influenced by a collection of top telecom and technology-infused vendors throughout the regions of North America and Asia-Pacific. In North America, these vendors include major players in the space, such as Qualcomm, NVIDIA, Intel, IBM, Cisco System, Mavenir, Juniper Networks, Dell Technologies and HPE, who are committed to the advancement of AI chips, the Cloud, and both open RAN software platform design through collaboration. 

In Asia-Pacific, many of the leading telecom infrastructure and provider companies, such as Samsung Electronics, Fujitsu, NEC, Rakuten Symphony Ltd., Huawei Technologies and ZTE Corporation., continue to influence the development of Open RAN, 5G and AI-enabled network modernization solutions across the globe; hence, providing large scale AI-RAN transformation initiatives and opportunities throughout the world.

AI-RAN Market Key Insights

Contact:

Mr. Richard Johnson

Acumen Research and Consulting

India: +91 8983225533

E-mail: [email protected]