AI-driven Solutions to Prevent Revenue Leakage in 5G Roaming

AI-driven Solutions to Prevent Revenue Leakage in 5G Roaming

According to Juniper Research, AI solutions are set to significantly reduce “revenue leakage” in 5G roaming connections. The research indicates that the average revenue leakage per 5G roaming connection will decrease from $1.72 to $1.20. This reduction is attributed to the implementation of AI-based segmentation by telecom operators, enabling effective monetization of data-centric users.

Revenue leakage refers to the under-monetization of provided services, a long-standing challenge in the telecoms industry. The research highlights the crucial role of AI-based segmentation solutions in addressing this issue. By real-time categorization and analysis of traffic types and segments, operators can optimize resource allocation and introduce innovative pricing models, particularly in the context of 5G standalone networks.

The key driver behind this reduction is the ability of AI-based segmentation to discern and differentiate traffic types, enabling operators to better monetize emerging roaming services. Leveraging machine learning models, operators can differentiate enterprise traffic based on use cases and facilitate premium billing for mission-critical 5G standalone connections.

Research author Alex Webb emphasizes that AI-based segmentation will enable premium billing for mission-critical 5G standalone connections, thereby reducing revenue leakage. The report titled ‘Global Roaming Clearing Market: 2023-2028’ recommends that operators adopt AI segmentation tools to combat revenue leakage in 5G roaming on standalone networks.

As 5G standalone networks utilize the 5G core infrastructure, individual pricing strategies must be employed to accurately reflect the Quality of Service (QoS) factors such as higher throughput and lower latency offered by these networks.

In conclusion, the adoption of AI-driven segmentation tools emerges as a critical strategy for telecom operators to optimize network resource distribution, identify enterprise traffic suitable for use case-dedicated network slices, and ultimately curb revenue leakage in 5G roaming connections.

Note: The full report is available here.

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