Innovative AI Integration Poised to Transform Radio Access Networks - Disaggregated RAN Opens Doors to AI and ML - ResearchAndMarkets.com

The "AI and RAN - How Fast Will They Run?" report has been added to ResearchAndMarkets.com's offering.

The landscape of Radio Access Networks (RAN) is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and Machine Learning (ML). The traditional, monolithic structure of the RAN is rapidly evolving into a more disaggregated and adaptive system, poised to leverage the disruptive capabilities of AI technologies.

AI Drives Growth in RAN Efficiency and Performance

Advanced AI applications are heralding a new era in the RAN sector by optimizing network traffic, improving caching efficiency, and enhancing energy management. The benefits of AI are not only shaping the RAN of today but promising substantial growth in market size over the coming years, with a particular focus on 5G networks and their sophisticated requirements.

Virtualization: A Gateway for AI in RAN

Key to the adoption of AI within RAN has been the progressive virtualization of network functions, a major step paved by initiatives like SDN and NFV technologies. This shift is facilitating a smoother integration of AI solutions, reflected in the innovative strategies of leading RAN vendors and telcos.

These strategies are beginning to redefine the vendor landscape and network operations as efforts to integrate AI into RAN architecture gain momentum.

Regional Insights and Worldwide Impact

While the incorporation of AI technologies in RAN presents a global opportunity, the Asia-Pacific (APAC) region, in particular, is emerging as a frontrunner. This reflects a wider trend of rapid technological adoption in APAC markets and points to a shift in how radio networks are being optimized for efficiency across diverse applications.

Looking Ahead: AI's Role in Shaping the Future of RAN

The potential of AI to significantly enhance the capabilities of RAN is becoming ever more apparent. From the core of 4G and 5G architectures to the vendor initiatives and telco policies, AI is set to be a critical factor in the next generation of mobile communications.

As the market continues to forecast strong growth fueled by these technologies, RAN is set to become smarter, more efficient, and more adaptable to the demanding needs of modern telephony.

This pivotal integration of AI into RAN architecture marks a transformative step in the evolution of cellular networks, driving forward a more connected and intelligent future.

Key Market Highlights

As the report features a thorough breakdown of the market by application, region and telephony generations, it provides telling quantitative insights.

  • The addressable market for AI in RAN will grow by an impressive 45% annually during 2023-2028
  • The addressable market for AI in 5G RAN will grow faster than earlier telephony generations
  • The APAC region will be the largest market for AI in RAN caching applications

Companies Featured

  • Aira
  • AirHop
  • Aspire
  • AT&T Inc
  • Axiata Group Berhad
  • Bharti Airtel
  • Capgemini
  • China Mobile
  • China Telecom
  • China Unicom
  • Cisco
  • CK Hutchison Holdings
  • Cohere
  • DeepSig OmniSig
  • Deutsche Telekom
  • Ericsson
  • Etisalat
  • Fujitsu
  • Globe Telecom Inc
  • HCL
  • Huawei
  • Juniper
  • Mavenir
  • MTN Group
  • Net AI
  • Nokia
  • NTT DoCoMo
  • Nvidia
  • Ooredoo
  • Opanga
  • Orange
  • P.I. Works
  • PLDT Inc
  • Qualcomm RIC
  • Rakuten Mobile
  • Reliance Jio
  • Rimedo
  • Samsung
  • Saudi Telecom Company
  • Singtel
  • SK Telecom
  • Softbank
  • T-Mobile US
  • Telefonica
  • Telenor
  • Telkomsel
  • Verizon
  • Viettel Group
  • VMware
  • Vodafone
  • ZTE

For more information about this report visit https://www.researchandmarkets.com/r/fsqyn5

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