[Research Report] AI/ML for 5G Network Slicing: Accelerating Network-as-a-Service (NaaS) Strategy

The use of AI/ML in the dynamic instantiation of network slicing and the end-to-end orchestration of network domains is key to driving 5G network automation. It enables operators to deliver new and innovative services, including 5G Network-as-a-Service (NaaS). While there are major advancements in AI/ML-based network automation, challenges abound in deploying this network-wide, and in translating it, effectively, into new revenue streams across various 5G use cases.

This report ‘AI/ML for 5G Network Slicing: Accelerating NaaS Strategy’ which is based on the responses of 100 mobile operator respondents from around the globe, provides deep insights into, among others:  

• 5G network slicing application and vertical slicing models;
• The role of AI/ML in 5G network automation;
• The adoption of virtualization and edge computing;
• The impact of IT-telco convergence on operator operating models;
• 5G NaaS solution models;
• 5G NaaS monetization partnership opportunities; and
• The impact of 5G NaaS on operator growth and monetization.

This report, which is produced jointly by Comarch and The Fast Mode, also highlights a number of regional trends and the influence of operator size on their 5G NaaS readiness.

The 20-page report is available for download here.

9 June 2021 / Research Reports / By Ray Sharma