AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market to Reach US$ 816.04M by 2032 | CAGR 23.75% | Asia-Pacific Leads with 30% Share | Key Players: NVIDIA, Nokia, Samsung, Ericsson

Market Overview

The Global AI-RAN (Artificial Intelligence-Powered Radio Access Network) Market reached US$ 150.00 million in 2024 and is projected to grow to US$ 816.04 million by 2032, registering a CAGR of 23.75% during the forecast period 2025-2032. The market is gaining strong momentum as telecom operators and enterprises accelerate 5G deployments while preparing for 6G adoption. Integrating AI into RAN architectures enhances traffic prediction, resource optimization, energy efficiency, and network automation, enabling operators to meet the rising demand for low-latency, high-capacity, and intelligent wireless connectivity.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):-https://www.datamintelligence.com/download-sample/artificial-intelligence-powered-radio-access-network-market?Juli

The growth is further fueled by surging data traffic from AI-driven applications, IoT ecosystems, cloud gaming, and autonomous systems, which are pushing operators to adopt AI-RAN solutions. Telecom providers are increasingly embracing Open RAN (O-RAN) and Virtualized RAN (vRAN) architectures to reduce costs, improve interoperability, and increase network agility. However, high implementation costs, interoperability challenges, and security concerns continue to pose restraints for widespread adoption.

Market Trends

Several transformative trends are shaping the global AI-RAN market. A major shift is occurring from hardware-centric RANs to virtualized, software-defined, and cloud-native deployments, enabling operators to achieve greater scalability, automation, and agility while reducing dependence on proprietary hardware.

The integration of AI, IoT, and digital twin technologies is revolutionizing network planning and optimization. By simulating real-world network conditions virtually, operators can test, refine, and optimize configurations without costly physical trials, resulting in faster deployments, improved efficiency, and more predictable performance.

Recent Developments:

✅ January 2026 - United States: Samsung achieved an industry-first milestone with a virtualized AI-RAN deployment, introducing AI-driven and 6G-ready solutions that enhance network automation, traffic prediction, and energy efficiency.

✅ December 2025 - United States: NVIDIA and U.S. telecom leaders unveiled the All-American AI-RAN stack, integrating AI capabilities into RAN architectures to accelerate the path toward 6G networks.

✅ Late 2025 - United States: Verizon deployed a multi-vendor RAN Intelligent Controller (RIC) incorporating AI-powered energy management and optimization tools, improving network flexibility and operational efficiency.

✅ September 2025 - Canada: Telus partnered with Samsung for Canada's first AI-powered RIC rollout, marking a regional milestone in intelligent and automated RAN deployment.

✅ 2025 - Global: Industry analysts report that despite open RAN adoption challenges, AI-RAN systems are emerging as operational ROI drivers, providing enhanced spectrum utilization, energy efficiency, and faster deployment of 5G and 6G networks.

Mergers & Acquisitions:

✅ January 2026 - United States: A major telecom technology provider acquired a U.S.-based AI-RAN solutions company to expand its portfolio in automated RAN, network optimization, and 5G/6G solutions.

✅ October 2025 - Europe: A European telecom consortium acquired an AI-RAN software specialist, enhancing its AI-driven RAN management capabilities and multi-vendor orchestration solutions.

✅ August 2025 - Japan: A leading telecom and network infrastructure firm finalized the acquisition of a Japanese AI-RAN RIC developer, strengthening its AI-driven RAN innovation and regional deployment footprint.

Buy Now & Unlock 360° Market Intelligence:-https://www.datamintelligence.com/buy-now-page?report=artificial-intelligence-powered-radio-access-network-market?Juli

Key Players:

NVIDIA - Provides AI computing platforms for AI-RAN optimization, enabling traffic prediction, energy efficiency, and intelligent network automation.

Nokia - Offers AI-driven RAN solutions and analytics platforms, focusing on Open RAN and virtualized network deployments.

Samsung - Delivers AI-powered vRAN and RIC solutions, supporting 5G/6G readiness, energy optimization, and network automation.

Ericsson - Provides AI-enhanced RAN and RIC platforms, enabling predictive maintenance, network optimization, and energy-efficient operations.

NEC - Specializes in AI-powered RAN and cloud-native network solutions for efficient and scalable 5G/6G deployments.

Fujitsu - Offers AI-assisted RAN optimization tools, edge computing integration, and network automation solutions.

ZTE - Provides AI-driven RAN platforms, including virtualized and Open RAN solutions for telecom operators worldwide.

Mavenir - Focuses on Open RAN software and AI-based network orchestration for intelligent and cost-effective RAN operations.

VIAVI Solutions - Delivers AI-enabled testing, monitoring, and optimization solutions for RAN networks.

Radisys - Supplies RIC and vRAN platforms integrated with AI analytics and digital twin simulations for network planning and optimization.

Market Segmentation:

By Component: Software solutions account for approximately 45% of the AI-RAN market, driven by AI analytics, RIC platforms, and orchestration tools for traffic prediction, automation, and network optimization. Hardware, including base stations, edge servers, and specialized AI accelerators, contributes around 35%, supporting virtualized and cloud-native RAN architectures. Services, such as integration, consulting, and managed RAN operations, hold 20%, reflecting growing demand for end-to-end deployment and operational support.

By RAN Architecture: Open RAN (O-RAN) captures roughly 40% of the market, as operators pursue multi-vendor, interoperable solutions to reduce costs and increase flexibility. Virtualized RAN (vRAN) holds 35%, driven by cloud-native deployments and software-defined architectures that enable automation and scalability. Hybrid RAN accounts for 25%, combining traditional hardware-centric RAN with virtualization and AI-enabled enhancements for transitional network deployments.

By Deployment: On-premises deployments represent 50% of the market, favored by telecom operators seeking full control, low-latency performance, and secure infrastructure management. Cloud-based AI-RAN deployments account for 50%, reflecting the rapid adoption of cloud-native RAN, edge computing, and AI-driven orchestration to support scalable and flexible network operations.

By End-Users: Telecom operators dominate the market with 65%, leveraging AI-RAN to enhance 5G and 6G network performance, automation, and energy efficiency. Enterprises, including industrial, smart city, and private network deployments, hold 35%, adopting AI-powered RAN solutions to support IoT, cloud gaming, autonomous systems, and private 5G networks.

Speak to Our Analyst and Get Customization in the report as per your requirements:-https://www.datamintelligence.com/customize/artificial-intelligence-powered-radio-access-network-market?Juli

Regional Insights:

North America: North America is the largest market for AI-RAN, accounting for approximately 37% of the global share. The region benefits from early adoption of 5G networks, high AI and cloud infrastructure maturity, and strong investments from major players like NVIDIA, Samsung, and Verizon. Telecom operators are increasingly deploying AI-powered RAN solutions to optimize network performance, reduce operational costs, and prepare for 6G rollout.

Europe: Europe holds around 27% of the market. The region is characterized by rapid Open RAN adoption, stringent network energy efficiency goals, and supportive regulatory frameworks. Countries such as Germany, the U.K., and France are leading in AI-driven RAN deployment, with operators focusing on interoperable, multi-vendor RAN solutions.

Asia-Pacific: Asia-Pacific represents 30% of the market and is the fastest-growing region due to expanding 5G networks, rising data traffic, and the growing demand for intelligent and automated RAN solutions. China, Japan, South Korea, and India are major contributors, investing in vRAN, AI-assisted network optimization, and edge computing integration.

Market Dynamics:

Expanding 5G and 6G Networks Fueling AI-RAN Growth
The rapid global rollout of 5G networks and the foundational preparations for 6G infrastructure are key drivers of the AI-RAN market. Unlike conventional RAN, AI-powered RAN leverages artificial intelligence to enhance spectrum efficiency, automate network operations, and enable ultra-low-latency connectivity, which is critical for advanced applications such as autonomous mobility, smart manufacturing, cloud gaming, and immersive AR/VR experiences.

In North America and Europe, telecom operators are increasingly adopting AI-enabled Open RAN (O-RAN) to reduce costs and improve operational flexibility. Meanwhile, in Asia-Pacific, leading telecom providers are deploying AI-driven vRAN solutions to manage rapidly growing data traffic and improve network adaptability. Rising demand for intelligent, adaptive, and energy-efficient networks positions AI-RAN as a cornerstone of next-generation wireless connectivity.

Interoperability Challenges and High Costs as Market Restraints
Despite strong growth prospects, the AI-RAN market faces key restraints. Interoperability challenges, high deployment costs, and security concerns complicate widespread adoption. Telecom operators often manage a mix of legacy hardware and modern software-defined systems, making AI-RAN integration complex.

While the O-RAN Alliance promotes multi-vendor interoperability, real-world deployments still require extensive customization, testing, and integration. Additionally, transitioning to AI-enabled and virtualized architectures demands substantial upfront investment in edge computing, cloud infrastructure, and AI model development, which may be prohibitive for smaller operators. Cybersecurity risks further amplify the challenge, as AI-driven RAN introduces new attack surfaces within critical telecom infrastructure.

📌 Request for 2 Days FREE Trial Access: https://www.datamintelligence.com/reports-subscription

☛ Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

✅ Competitive Landscape

✅ Sustainability Impact Analysis

✅ KOL / Stakeholder Insights

✅ Unmet Needs & Positioning, Pricing & Market Access Snapshots

✅ Market Volatility & Emerging Risks Analysis

✅ Quarterly Industry Report Updated

✅ Live Market & Pricing Trends

✅ Import-Export Data Monitoring

☛ Have a look at our Subscription Dashboard: https://www.youtube.com/watch?v=x5oEiqEqTWg?Juli

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.