Insight Research New Report Launch: AI and RAN – How Fast Will They Run?

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.
Insight Research New Report Launch: AI and RAN – How Fast Will They Run?

Insight Research, is pleased to announce the launch of its latest report, “AI and RAN – How Fast Will They Run?”. The report delves into the intersection of Artificial Intelligence (AI) and Radio Access Network (RAN), shedding light on their evolving relationship and forecasting their future trajectories. In recent years, AI has emerged as a pivotal force driving innovation across industries. The telecom sector, in particular, has witnessed a transformative impact with the integration of AI into RAN architecture. The report explores this synergy, uncovering the dynamics behind their convergence and the implications for the telecommunication landscape.

At Insight Research, we recognize the seismic shifts occurring within the telecommunications industry, and our latest report elucidates the symbiotic relationship between AI and RAN,” remarked Kaustubha Parkhi, Principal Analyst at Insight Research. “We’re witnessing a paradigm shift in RAN architecture, with AI playing a pivotal role in driving efficiency, agility, and performance.”

 


Key Insights from the Report:

  •  End-Applications for AI in RAN: The report identifies key end-applications for AI in RAN, including traffic optimization, caching, energy management, and coding, showcasing the diverse potential of AI integration within telecommunications infrastructure.
  • Market Dynamics: Insight Research forecasts a remarkable compounded annual growth rate (CAGR) of 45% in the addressable market size of AI use-cases within RAN from 2023 to 2028, indicating significant growth opportunities within the sector.

 

                                           Progression of revenue shares of AI end-applications in the RAN

Excerpted from our report AI and RAN – How fast will they run? Figure charts the progression of the revenue shares of the key end-applications for AI in the RAN.

  • Vendor Landscape Analysis: The report comprehensively analyzes key vendors and their solutions related to AI in the RAN, uncovering the seminal impact that AI is engineering on the RAN vendor landscape. Notable vendors profiled in the report include Aira, Cisco, Ericsson, Huawei, Qualcomm, and more.
  • Telco Initiatives: Additionally, the report details the approaches and initiatives of leading telcos in the context of AI in the RAN. Telcos such as AT&T, Bharti Airtel, China Mobile, Deutsche Telekom, Verizon, and Vodafone are among those profiled in the report. It chronicles the telco initiatives and their outcomes, highlighting the gradual induction of AI in RAN architecture and the pivotal role played by telcos in championing initiatives such as NFV. The RIC through the O-RAN initiative has been a major step in advancing AI integration within RAN architecture.
  • Quantitative Forecast Taxonomy: The report breaks down the market for each end-application along two criteria: mobility generation and geographical regions. It considers two mobility generations, 5G and others, and four geographical regions: NA, EMEA, APAC, and CALA.
Vendor Initiatives for AI in the RAN as profiled in the report:
Aira Channel Prediction xApp
Aira Dynamic Radio Network Management rApp
AirHop Auptim
Aspire Anomaly Detection rApp
Cisco Ultra Traffic Optimization
Capgemini RIC
Cohere MU-MIMO Scheduler
DeepSig OmniSig
Deepsig OmniPHY
Ericsson Radio System
Ericsson RIC
Fujitsu Open RAN Compliant RUs
HCL iDES rApp
Huawei PowerStar
Juniper RIC/Rakuten Symphony Symworld
Mavenir mMIMO 64TRX
Mavenir RIC
Net AI xUPscaler Traffic Predictor xApp
Nokia RAN Intelligent Controller
Nokia AVA
Nokia ReefShark Soc
Nvidia AI-on-5G platform
Opanga Networks
P.I. Works Intelligent PCI Collision and Confusion Detection rApp
Qualcomm RIC
Qualcomm Cellwize CHIME
Qualcomm Traffic Management Solutions
Rimedo Policy-controlled Traffic Steering xApp
Samsung Network Slice Manager
ZTE PowerPilot
VMware RIC
Telco Initiatives for AI in the RAN as profiled in the report:
AT&T Inc
Axiata Group Berhad
Bharti Airtel
China Mobile
China Telecom
China Unicom
CK Hutchison Holdings
Deutsche Telekom
Etisalat
Globe Telecom Inc
NTT DoCoMo
MTN Group
Ooredoo
Orange
PLDT Inc
Rakuten Mobile
Reliance Jio
Saudi Telecom Company
Singtel
SK Telecom
Softbank
Telefonica
Telenor
Telkomsel
T-Mobile US
Verizon
Viettel Group
Vodafone

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.

Of all the announcements at MWC24, the one that validates our focus on AI in RAN is the formation of the AI-RAN Alliance. Coinciding with the release of our report “AI and RAN – How fast can they run?”, the Alliance checks all the boxes to furthering AI from the periphery of the RAN to its very core.

Insight Research’s “AI and RAN – How Fast Will They Run?” report is essential reading for telecom operators, technology providers, policymakers, and investors seeking to navigate the evolving landscape of AI-driven telecommunications infrastructure.

Report is available in three formats:

  1. Single User Licence
  2. 6-Seat Licence
  3. Unlimited Corporate Licence

For further information and to purchase the full report, visit https://www.insight-corp.com/product/ai-and-ran-how-fast-will-they-run/.


Recent Content

As Open RAN moves from trials to large-scale adoption, telecom giants like NTT Docomo, AT&T, and TELUS share their real-world deployment strategies. From multivendor interoperability to automation and security, this article explores key operational insights, ecosystem collaborations, and future directions in Open RAN architecture.
5G and AI are transforming industries, but this convergence also brings complex security challenges. This article explores how Secure Access Service Edge (SASE), zero trust models, and solutions like Prisma SASE 5G are safeguarding enterprise networks. With real-world examples from telecom and manufacturing, learn how to secure 5G infrastructure for long-term digital success.
Connectivity convergence is redefining the Internet of Things by integrating legacy systems, cellular, Wi-Fi, LoRaWAN, BLE, and satellite networks. From agriculture to logistics, IoT ecosystems are evolving to prioritize seamless communication, modular hardware, and intelligent data handling with edge AI. This article explores how convergence is shifting the focus from hype to practical, scalable deployment—unlocking the true potential of IoT everywhere.
This articles explores how AI, quantum computing, and next-gen connectivity are shaping the future of innovation. From ethical AI and quantum-safe cryptography to 6G-enabled access to education and healthcare, these converging technologies are redefining what’s possible across industries. The key: inclusive, sustainable, and collaborative development.
With AI shifting from the cloud to the device, on-device AI is transforming privacy, speed, and user experience. Experts from Honor, Broadcom, and Orange explore the challenges and innovations shaping this future, from AI chips to offline capabilities and ethical implications. Is it time to go all-in?
Smartphones are no longer just communication tools—they’re data hubs, wallets, and identity carriers. As mobile usage expands, so do digital threats. This article explores why the future of mobile protection must go beyond physical coverage to include AI-powered threat detection, data security, and digital identity safeguards.

Download Magazine

With Subscription
Whitepaper
Download our latest whitepaper, sponsored by RADCOM, to see how automated assurance, using the power of AI/ML, can help tackle these questions head-on....
Radcom Logo
Whitepaper
Download the Open RAN whitepaper to understand the parameters, challenges, and benefits of greenfield vs. brownfield deployments....
GSMA logo

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top