Institution Profiling / Internet infrastructure institution

AI RAN to make up 33% of RAN market by 2029

AI RAN to make up 33% of RAN market by 2029 is tracked as a internet infrastructure institution within the internet infrastructure ecosystem.

AI RAN to make up 33% of RAN market by 2029

Evidence Pack

Primary-source references used for classification and impact scoring.

CategoryInstitution Type

Controlled classification for comparative analysis.

RegionGlobal

Primary geography where strategy signal is most visible.

Signal FocusInternet infrastructure institution

Principal area tracked in this profile.

Content TypeProfile

Structured profile with operational and governance relevance.

Primary DomainTechnology

Domain interpretation lens.

TopicInternet infrastructure institution

Session topic under controlled profile taxonomy.

ImpactMedium

Leadership and execution signals affect strategy timing.

Confidence?Confidence Grade · doctrine v2 §8 / SOP §2
0.90–1.00AHigh — direct sources
0.75–0.89A/BStrong
0.55–0.74B/CMedium
0.35–0.54C/DWeak–medium
0.10–0.34DWeak signal
0.00–0.09DInternal monitoring
C · 0.82

Mixed-source

AI RAN to make up 33% of RAN market by 2029 is profiled by BTW Media because public-source evidence links it to internet infrastructure, governance, operational dependencies, or market visibility.

  • AI RAN expected to drive 33% of the RAN market by 2029
  • Focus on D-RAN, 5G, and efficiency rather than new revenue streams

What happened: AI RAN to reach 33% by 2029

A new report from Dell’Oro Group predicts that AI-driven Radio Access Networks (AI RAN) will make up about 33% of the total RAN market by 2029. The research highlights that the shift to AI RAN will primarily focus on Distributed RAN (D-RAN), single-purpose deployments, and the development of 5G networks. These areas will be crucial to enhancing efficiency, automating processes, and delivering improved user experiences. The report also points out that AI will help operators optimise their networks, but it won’t lead to new sources of revenue shortly. The primary goal for operators in the short term is to improve network performance and reduce costs.

The report also mentions that existing radio and baseband suppliers will be in a strong position as AI RAN rolls out. This is because the AI upgrades will rely on the current hardware. Stefan Pongratz, Vice President at Dell’Oro Group, explains that the short-term focus is more on making networks more efficient rather than generating extra income. AI RAN can enhance user experience, reduce power use, and play a role in the wider push towards network automation.

Also read: Samsung partners with Nvidia for AI-RAN
Also read: Open RAN trial at Allianz Stadium

Why it’s important

The importance of AI RAN lies in its potential to improve network efficiency and help operators manage the growing demand for 5G and future technologies. With 5G networks expanding, AI will play an essential role in managing large amounts of data and automating many of the tasks that would otherwise require human input. AI RAN also has the potential to cut down on energy use and reduce operational costs, making it a crucial tool for the telecom industry. However, there is still a level of caution regarding its ability to boost revenues. Many operators remain sceptical about AI’s potential to turn around the flat revenue growth that has been seen during previous 4G and 5G cycles.

Vodafone Group’s recent decision to join the AI-RAN Alliance highlights the growing interest in AI RAN, even though the alliance has not seen much progress since its formation last year. With fewer operator members than expected, the alliance remains quiet but could play a key role in the future. The shift towards AI RAN will help telecom operators better compete in an increasingly digital world, but its impact on revenue generation is still uncertain.

Core Entity Brief

  • Entity: AI RAN to make up 33% of RAN market by 2029
  • Subject Type: Internet infrastructure institution
  • Region: Global
  • Classification: Institution Type

Service Surface / Control Surface

  • Public records support monitoring of governance, service, and infrastructure control surfaces.

Governance and Policy Surface

  • Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.
  • Operational criticality: Medium
  • Time horizon: Quarter (30-120d)

Decision Trigger Matrix

  • Monitoring focuses on verified service continuity, governance changes, and relationship signals.
NowMedium priority

Current state favours active tracking due to infrastructure relevance.

QuarterMedium policy sensitivity

Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.

YearQuarter (30-120d) continuity dependency

Long-cycle infrastructure decisions likely to remain path-dependent.

Member Unlock

Restricted Profile Intelligence

Login is required to unlock full profile briefings and deep-dive sections.

Only for Strategy Circle

Strategic Circle Access

Open to all readers. Unlock profile briefings after joining and logging in.

Join Strategic Circle

Only for Leadership Alliance

Leadership Alliance Access

For owners and management of IP-holding companies. Login required to unlock.

Join Leadership Alliance
← BackAll Companies