A new Juniper Research study forecasts that AI-powered solutions will significantly reduce “revenue leakage” associated with 5G roaming connections.
The research predicts a fall in average revenue leakage per 5G roaming connection from $1.72 to $1.20. This reduction is mainly credited to telecom operators deploying AI-based segmentation, a move that helps monetise increasingly data-driven users more effectively.
Revenue leakage refers to the value of services delivered but not properly monetised—a persistent problem for the telecom industry. Juniper Research’s findings highlight that AI-driven segmentation tools can mitigate this issue by improving resource allocation and enabling new, more precise pricing models, especially within 5G standalone networks.
At the heart of the improvement is AI’s ability to identify and categorise traffic types and user segments in real time. This capability allows operators to monetise emerging roaming services more accurately and swiftly.
Using machine learning models, operators can distinguish enterprise traffic by specific use cases and support premium billing for mission-critical 5G standalone connections, ensuring customers pay according to the service delivered.
Research author Alex Webb explains that AI-based segmentation “will differentiate enterprise traffic by use case; enabling premium billing of mission-critical 5G standalone connections, thus reducing revenue leakage.”
The report, titled “Global Roaming Clearing Market: 2023-2028,” recommends that operators integrate AI segmentation solutions to tackle revenue leakage from 5G roaming across standalone networks.
5G standalone networks run on a 5G core, unlike 5G non-standalone networks that rely on 4G infrastructure. This technical difference requires distinct pricing strategies for each network type so that charges reflect the Quality of Service (QoS) provided—factoring in attributes like higher throughput and lower latency.
In practical terms, AI-driven segmentation helps operators optimise network resource distribution, identify enterprise traffic suitable for dedicated network slices tailored to particular use cases, and reduce revenue loss from under-monitored roaming usage.
The full report is available from Juniper Research (paywall).
Photo credit: Ian Talmacs on Unsplash
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