AI has made a decisive entry into the RAN, transforming how traffic is managed and optimized. After years of anticipation, AI is now actively present in RAN, reshaping its structure and capabilities. Our comprehensive new report, “AI and RAN Traffic Optimization- Technologies and Markets,” delves into this transformative journey, offering key insights and market forecasts focused on traffic optimization.
AI is enhancing RAN traffic management by improving efficiency, reducing latency, and optimizing network resources. This transformation is facilitated by the transition of RAN from a rigid, monolithic structure to a more disaggregated, agile, and open system. The roles of Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Cloud-Native Functions (CNF), and Open RAN (O-RAN) are crucial in enabling AI’s impact on RAN traffic optimization. These technological advancements provide the foundation for AI to optimize traffic within RAN, leading to significant improvements in network performance.
Key Highlights
- The report breaks down the market for AI in RAN traffic optimization two criteria- mobility generation and geographical regions.
- The report considers two mobility generations- 5G and others; and four geographical regions- NA, EMEA, APAC and CALA.
Table of Contents
Companies Mentioned
- Aira
- Airhop
- Aspire
- AT&T Inc
- Axiata Group Berhad
- Bharti Airtel
- Capgemini
- China Mobile
- China Telecom
- China Unicom
- Cisco
- CK Hutchison Holdings
- DeepSig
- Deutsche Telekom
- Ericcson
- Etisalat
- Fujitsu
- HCL
- Huawei
- Globe Telecom Inc
- Juniper
- Net AI
- Nokia
- NTT DoCoMo
- Nvidia
- Mavenir
- MTN Group
- Opanga
- Ooredoo
- Orange
- P.I. Works
- PLDT Inc
- Qualcomm
- Rakuten Mobile
- Reliance Jio
- Rimedo
- Samsung
- Saudi Telecom Company
- Singtel
- SK Telecom
- Softbank
- Telefonica
- Telenor
- Telkomsel
- T-Mobile US
- Verizon
- Viettel Group
- Vodafone
- ZTE