ABI Research expects that 75% of 5G base stations will be upgraded to 5G-Advanced by 2030. 5G-Advanced will bring continuous enhancements on mobile network capabilities and use case-based support to help mobile operators with 5G commercialization, long-term development of Artificial Intelligence (AI)/Machine Learning (ML), and network energy savings for a fully automated network and a sustainable future.
"In 5G-Advanced, Extended Reality (XR) applications will promise monetary opportunities to both the consumer markets with use cases like gaming, video streaming, as well as enterprise opportunities such as remote working and virtual training. Therefore, XR applications are a major focus of 3GPP working groups to significantly improve XR-specific traffic performance and power consumption for the mass market adoption," explains Gu Zhang, 5G & Mobile Network Infrastructure Principal Analyst at ABI Research. "Another noticeable feature is AI/ML which will become essential for future networks given predictive rapid growth in 5G network usage and use case complexities which can't be managed by legacy optimization approaches with presumed models. System-level network energy saving is also a critical aspect as operators need to reduce the deployment cost but assure network performance for various use cases."
The upgrade of 5G network infrastructure is expected to be faster in the consumer market than enterprises.
ABI Research forecasts that 75% of 5G base stations will be upgraded to 5G-Advanced, while in the enterprise market the ratio is about half. 5G-Advanced devices per radio base station will quickly gain traction around 2024 to 2026 at the early stage of the commercial launch because devices will grow more aggressively than network deployments over the period.
Source: www.abiresearch.com