Kaustubha Parkhi

Magazine
What did Insight Research conclude during its coverage of AI in the RAN in its report “AI and RAN – How fast will they run?
1. AI intersects the RAN at numerous angles – the principal end-applications for AI in RAN are traffic optimization, caching, coding and energy management.
2. The impact of AI on these applications is on technical, commercial and competitive fronts.
3. There are numerous AI, ML and DL algorithms that are being used to improve the above end-applications.
4. Thanks to the penchant of AI in dealing with complexity, each of these end-applications will enjoy high CAGRs.
5. AI has democratized the RAN vendor landscape
News
Key Highlights from the Report “AI and RAN – How Fast Will They Run?” from Insight Research:
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
With a meticulous breakdown of the market by application, region, and telephony generations, the report offers unparalleled quantitative insights, empowering stakeholders to make informed decisions in a rapidly evolving landscape.
Magazine
AI means many things to many people. Under the radar however, AI is emerging as the change agent in the RAN marketplace. Through direct and indirect means, AI and ML technologies are injecting diversity into the RAN vendor landscape. AI is not new to RAN. What is new is the combination of AI and RAN-disaggregation initiatives such as Open RAN, SDN and NFV. Established leaders, companies with telecom pedigree, consulting majors and startups are some of the notable stakeholders looking to leverage AI in the RAN. As a consequence, there is a very real probability that cellular operators will have real choices in their RAN design and deployment endeavors.

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