数据驱动型发展模式

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锁凌燕:保险业新挑战折射变革趋势
Jing Ji Ri Bao· 2025-09-02 00:07
Core Insights - The insurance industry in China has seen a significant increase in claims payments, totaling 13,458 billion yuan in the first half of the year, representing a year-on-year growth of 9.4%, which outpaces the premium income growth of 5.3% [1] - The disparity between claims and premium growth indicates a new phase in the insurance sector, emphasizing a return to the core of insurance and the development of inclusive insurance products tailored to various demographic groups [1][2] - The changing risk structure in the insurance industry is highlighted by the increasing claims from long-term policies sold during periods of rapid growth, alongside rising medical costs and complex disease profiles [1][2] Industry Trends - The focus of the insurance industry is shifting from acquiring new customers to deepening relationships with existing clients, addressing coverage gaps, and meeting financial planning needs [2] - There is a growing need for the industry to provide refined lifecycle risk management services, including targeted risk alerts and personalized services to meet diverse consumer demands [2][3] Technological Advancements - The ongoing digital transformation in the insurance sector has enabled companies to leverage big data and artificial intelligence for better risk management and customer service [3] - Insurance firms can now achieve real-time data sharing with healthcare providers and third-party platforms, enhancing claims processing efficiency and customer satisfaction [3] Future Directions - The insurance industry is evolving towards a model that integrates health monitoring and preventive services with insurance products, aiming for a seamless customer experience [4] - Companies are encouraged to explore innovative profit models and transition from being mere risk providers to comprehensive service platforms, enhancing value creation [4] - Regulatory bodies are urged to improve data sharing and privacy protection frameworks to support the industry's data-driven development while balancing innovation and risk [4]