According to a report by Juniper Research, operators will invest $26 billion in cloud services in 2024, with expenditure growing to $65 billion in 2028.
As per the report, the growth of 5G networks and arrival of cloud-native 6G networks will result in a 11 per cent increase in cellular data over the next four years. This growth will be driven by the rising adoption of data intensive internet of things (IoT) use cases, such as automated manufacturing and vehicle infotainment systems.
To manage this substantial growth in cellular data, operators must leverage cloud-based network management systems to automate the management of network resources in real-time and at a local level. Critical to this automation will be machine learning, which will enable real-time traffic analysis, enabling automatic changes to network resources in response to unexpected traffic patterns. This will prevent congestion from sudden increases in cellular data on operator networks, protecting quality of service.
Additionally, the report mentions that cloud technologies will be instrumental in enabling operators to achieve sustainability targets. Operators will use machine learning to automate network management, reducing power to network elements when user demand is low.
Commenting on the report, Alex Webb, research author, said, “Telecommunications networks are becoming more complex, requiring increasingly automated network management systems. However, operators must insulate mission-critical traffic when reducing power, to guarantee quality of service for enterprises.”
