Software-Defined AI-RAN Market Size to Reach USD 11.24 Billion by 2035 | CAGR of 27.4%

What is the Software-Defined AI-RAN Market Size?

The global software-defined AI-RAN market size was accounted for USD 980 million in 2025 and is estimated to garner around USD 11,242.82 million by 2035 growing at a CAGR of 27.4% from 2026 to 2035.

The software-defined AI-RAN market offers the evolution of RAN into fully programmable and intelligence-driven telecom platforms. Unlike traditional RAN systems. These systems heavily rely on software layers that run on virtualized or cloud infrastructure. This transformation in the sector has enabled telecom operators to manage networks through centralized, automation frameworks and AI-driven analytics by allowing continuous upgrades and rapid service innovation. The market is growing as global telecom operators boost 5G and 6G deployments, prepare for more advanced networks and invest in Open RAN as well as edge computing. Growing mobile data consumption and rising rate of software-centric network architectures create a strong potential for the market to boom.

Software-Defined AI-RAN Market Statistics

• By component, the platforms segment dominated with 48% share in 2025. Centralized orchestration and RIC platforms are becoming prominent and operators have started relying on these platforms to enable software upgrades.
• By component, the applications segment is seen to grow fastest at 30% CAGR due to rising demand for xApps and rApps that are enabling real-time analytics and energy optimization.
• By deployment, the private cloud/on-premise segment dominated with 63% share owing to rising requirements of data security options. Edge and cloud deployments are now seen as advanced support for critical telecom operations. Operators show preference to this due to reliability and regulatory compliance.
• By deployment, the public cloud held 37% share due to scalability. Cloud infrastructure enables faster service rollout and large-scale AI model training. 
• By network architecture, the open RAN segment dominated with 45% share driven by vendor diversification and cost reduction. Disaggregated architectures allow operators to deploy multi-vendor software stacks and avoid vendor lock-in.
• By network architecture, the vRAN held the second largest share of 27% due to virtualization and network management. Virtualized network functions allow dynamic resource allocation and automated lifecycle management. 
• By end user, the telecom operators dominated with 68% share due to massive 5G traffic and automation demand. Operators are now adopting software-defined AI-RAN to reduce operational costs and improve network efficiency. 
• By end user, the enterprises held the second largest share of 22% due to private 5G and industrial IoT adoption. Enterprises are now deploying programmable networks to support automation and critical connectivity.

Rising Emphasis Over Sustainable Telecom Networks: Market’s Largest Opportunity

The telecom industry is focusing on sustainability in response to rising energy costs and the need to lower carbon emissions. Radio access networks (RANs) are the main source of energy used in telecom networks, accounting for 60 to 70% of total telecom network energy consumption. Therefore, optimizing energy use in RANs has become a key area of focus for operators across both mobile and fixed-line networks. Software-defined AI-RANs make it possible for operators to deploy intelligent software applications that will automatically turn off idle cells, optimize transmit power and manage traffic load balancing in real time.

The early deployments have shown great promise with industry trials proving that AI-enabled automation and predictive analytics are providing RANs with a 20 to 30% reduction in RAN energy usage. The commitment by global telecom operators to achieve net zero targets and the introduction of stricter legislation concerning sustainability by governments is expected to greatly increase the demand for energy-efficient, software-defined RAN solutions, creating significant long-term growth opportunities for both vendors and platform providers.

Software-Defined AI-RAN Market Regional Outlook

Mature and well-established telecom innovation can be found in North America, where many telecommunications companies are now re-designing their networks using fully programmable, cloud-native RAN platforms. All parties involved have worked collaboratively to create a very strong system for the development of A-SDN (software-defined networks).

A major reason why there has been such strong growth is the increasing number of industries (such as manufacturing, logistics, healthcare, and energy) that are beginning to use private 5G networks and specialized connectivity solutions. Companies operating within the United States are investing substantially with specialized software-defined RAN solutions that will help support mission critical applications, robotics, and real-time analysis.

Asia Pacific is currently identified as a rapidly expanding and high-growth market due to the worldwide need for ultra-dense mobile networks and for implementing massive digital transformation activities. Telecom service providers in Asia Pacific are embracing more software-defined networking architecture to handle the tremendous growth of mobile data traffic and connected devices.

In addition, the use of edge computing and localized cloud services is on the rise. Both of these developments will assist telecoms in supporting their customers' demands for low-latency applications such as intelligent transportation systems, augmented reality and remote operations. Software-defined AI-RAN will allow for scalable and low-cost implementation of these technologies.

Who are the Software-Defined AI-RAN Market Top Players? 

An extensive collaboration among semiconductor companies, cloud service providers, companies creating telecom software, network infrastructure providers, as well as telecom equipment manufacturers, is influencing the development of the software-defined AI-RAN ecosystem through innovation. Leaders among telecom manufacturers include Intel Corporation, Cisco Systems, Qualcomm, NVIDIA, Microsoft, Amazon, Mavenir Technologies, Parallel Wireless, and Juniper Networks, and these organizations are evolving the means of developing innovative new cloud-native RANs, applying AI accelerators, and developing advanced network orchestration technologies. 

Additionally, many telecom manufacturers are rapidly expanding the use of Open RAN, initiating plans for virtualizing programmable telecom infrastructure, and developing plans to conduct large scale deployments of those infrastructures in all global markets including China (Huawei, ZTE), South Korea (Samsung Electronics), Japan (Rakuten Symphony, NEC, Fujitsu), and multiple other regions around the world.

Segments Covered in the Report

Contact:

Mr. Richard Johnson

Acumen Research and Consulting

India: +91 8983225533

E-mail: [email protected]