The AI RAN market is a combination of artificial intelligence (AI) with radio access networks (RANs) to improve mobile network performance and capabilities.   AI-native RAN underpins the vision of AI RAN, creating a system that embeds AI algorithms to administer and govern fundamental mobile networking operations from the physical layer to radio resource management (RRM). AI-native RAN provides a comprehensive approach to enable reliable, intelligent, and efficient networks.

Of key importance, AI is commonly deployed in concert with machine learning (ML) technology across mobile networks including the RAN domain. For multi-vendor 5G networks, AI/ML is integral to bringing together multiple data sources, AI/ML inference functions, and AI/ML training functions. Doing so requires precise policies and rules that can regulate the behavior and communication of each party involved in the creation and consumption of AI/ML capabilities.

In our latest offering, Market Insight Report: AI RAN, focuses on the nascent AI RAN market, sharpening the definition of the category’s addressable market and market sizing data specific to the AI RAN market segment as it evolves.

This paper provides details about:

• Top AI RAN Market Shapers
• Top AI RAN Selection Criteria
• AI RAN Priorities and Strategies

Ultimately, the value chain of the AI RAN market is firmly aligned with enabling organizations to advance their digital transformation through greater mobility, flexibility, security, and reliability as well as strengthening sustainability missions by making existing implementations more intelligent. AI RAN technology is vital to transforming business practices and improving business outcomes by enabling organizations to use AI to make their mobile networks more intelligent and improving the overall customer experience. With AI RAN, MNOs can improve their operations, boost productivity, and deliver better products and services. To learn more, download Market Insight Report: AI RAN today!