The AI-Powered Radio Access Network Market is being driven by Escalating complexity of 5G and future networks
The AI-Powered Radio Access Network Market is expected to grow at a CAGR of 45.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 2357.8 million. The AI-powered radio access network market is experiencing a pivotal shift, with the increasing adoption of Generative Artificial Intelligence (AI), specifically Large Language Models (LLMs), designed for telecommunications. This evolution goes beyond traditional AI applications, such as numerical optimization tasks like traffic forecasting and anomaly detection. Instead, the focus is on creating conversational, cognitive systems capable of comprehending, reasoning about, and interacting with intricate network data using natural language. Mobile network operators are actively investigating the implementation of Telco LLMs, which are fundamental models trained on extensive, domain-specific datasets encompassing technical manuals, network performance logs, alarm descriptions, trouble tickets, and configuration files.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
227 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 45.6% |
Market growth 2025-2029 |
USD 2357.8 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
41.8 |
Key countries |
China, Japan, South Korea, India, Australia, Germany, UK, France, US, and Canada |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI-Powered Radio Access Network (RAN) market is witnessing significant growth due to the adoption of advanced automation and optimization tools, driven by AI model training and data center infrastructure. Edge cloud deployment, network monitoring tools, and 5G spectrum management are key components. Network capacity planning and AI-powered network planning ensure throughput improvements and power consumption reduction. Deployment strategies, maintenance procedures, and network upgrades focus on user experience improvements, service assurance, fault management, and performance management. Security management, configuration management, network slicing implementation, virtual network functions, open interfaces, interoperability testing, and network security protocols address network efficiency and reliability. Radio frequency interference and signal quality monitoring are critical for maintaining network performance and quality.
The global communications equipment market, encompassing manufacturers of enterprise networking solutions, broadcasting equipment, and telecommunication infrastructure, is poised for significant growth. Key drivers include the expanding number of data centers, with hyperscalers investing heavily in new facilities and capacity expansions. Intelligent automation, 5G network slicing, and AI-driven resource allocation are transformative technologies set to revolutionize the market. Predictive network maintenance is another critical trend, enabling proactive issue resolution and network optimization. Technavio's market analysis considers revenue from communication equipment sales, broadcasting equipment, and telecom infrastructure investments, excluding cellular phone manufacturers.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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