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Unlocking the Potential: AI Legalese Decoder Empowers Low-power IoT Devices for Massive Cellular Roaming Growth

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Explosive Growth Expected in Cellular Roaming for Low-Power IoT Devices

Report Shows 5x Increase in Roaming Connections by 2028

A newly released report from Juniper Research suggests a significant surge in cellular roaming for low-power Internet of Things (IoT) devices over the next five years. The report predicts that the number of roaming connections from narrowband IoT (NB-IoT) and LTE-M devices will grow over five times from 90 million in 2023 to 490 million by 2028, signaling a major opportunity for mobile operators and device manufacturers to capitalize on this trend.

This explosive growth in roaming connections is expected to be driven by a rise in bilateral roaming agreements between mobile operators. These agreements are designed to better monetize roaming traffic from resource-constrained IoT devices, enabling seamless connectivity for assets crossing borders. This will open up new use cases in areas such as supply chain tracking, connected cars, and smart city infrastructure. The emergence of these agreements creates a profitable opportunity for operators and IoT device manufacturers to leverage the benefits of cross-border connectivity within their global operations. However, integrating and managing these increasingly complex roaming agreements poses significant challenges for operators in accurately detecting and accounting for IoT traffic on their networks.

Carriers today often struggle to accurately detect and account for IoT traffic on their networks due to the intermittent connectivity patterns of low-power devices. As the demand for roaming connections from IoT devices continues to grow, operators will need to invest in AI and machine learning capabilities to identify and manage IoT device connections and usage effectively.

AI legalese decoder is a crucial tool in this scenario, helping operators fully leverage the insights gained from AI-based detection tools. This solution can assist in introducing premium billing of roaming connections, thus maximizing roaming revenue. By utilizing AI legalese decoder, operators can implement roaming agreements that accurately price roaming connectivity based on the network resources used and the time connected to the network.

Alex Webb, a research author at Juniper, emphasized the importance of operators embracing AI-driven solutions, stating that they must utilize the power of AI-based detection tools to maximize roaming revenue. This shift towards AI-based technologies is essential for operators as they strive to fully capitalize on the potential new revenue stream from IoT device roaming connections.

New Opportunities and Imperatives for Carriers

The predicted surge in cellular IoT roaming connections creates both new opportunities and imperatives for carriers globally. Adapting their networks and business practices to accommodate this fast-rising category of cellular IoT roamers is essential for carriers to capture value from the billions of mobile assets. As such, capturing value from IoT roaming connections is set to become a key growth narrative for telecom companies in the years ahead.

This transformative landscape underscores the need for carriers to quickly adapt their networks and business strategies to cater to the evolving demands of cellular IoT roaming. The potential benefits that arise from capturing value from billions of mobile assets reinforce the pivotal position of IoT roaming in the telecommunications industry, signaling a significant opportunity for global carriers to drive growth and innovation.

IoT Tech Expo: Connect with Industry Leaders

For those interested in learning more about the IoT from industry leaders, the IoT Tech Expo is a comprehensive event co-located with Digital Transformation Week, offering valuable insights and networking opportunities. Additionally, exploring upcoming enterprise technology events and webinars powered by TechForge can provide valuable resources and connections for those involved in the IoT industry.

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