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The adoption of new technologies such as AI and machine learning (ML) is growing within telematics systems to enhance predictive analytics, driver behavior analysis, and real-time decision-making capabilities. The rollout of 5G networks is significantly improving the capabilities of telematics systems, providing faster data transmission, reduced latency, and improved reliability, facilitating real-time updates and better connectivity for smart features. As electric vehicle (EV) adoption rises, telematics systems are being tailored to meet the specific needs of EVs, such as battery monitoring, route planning for charging stations, and energy consumption analysis.
Additionally, the usage-based insurance (UBI) model, where insurance premiums are based on actual driving behavior data collected through telematics, is gaining traction among its end-users. This model is supported by telematics systems' ability to provide detailed and accurate driving metrics, which insurers use to offer personalized policies. Moreover, there is a growing demand for telematics solutions in fleet management, driven by the need for efficient tracking, maintenance, and operational optimization.