解读数据要素发展新路径 ——《中国数据要素发展报告（2025）》发布

Core Insights - The report titled "China Data Element Development Report (2025)" highlights six core trends in the development of data elements in China, emphasizing the strategic importance of data in the digital economy [1] - The report identifies five major bottlenecks that need to be addressed for the development of data elements, including difficulties in top-level design implementation and supply-demand imbalances [2] - The report outlines three major prospects for the market development of data elements, indicating an acceleration in market growth driven by policy, technology, and demand [3] Group 1: Key Trends in Data Element Development - Top-level design is being anchored at a strategic height, with the central government emphasizing the resourceization of data as a milestone for industry development [1] - The institutional framework is gradually improving, with significant breakthroughs in foundational systems, including the establishment of data asset accounting practices [1] - Application scenarios are expanding across multiple fields, showcasing the empowering effects of data in manufacturing, smart city construction, and modern finance [1] Group 2: Bottlenecks in Data Element Development - Implementation of top-level design faces challenges due to policy discrepancies across regions, leading to "policy islands" that hinder data integration [2] - There is a supply-demand imbalance, with some entities reluctant to share data due to security and rights concerns, complicating data accessibility for demand-side users [2] - Guidance for data asset incorporation into financial statements is insufficient, particularly for listed companies, necessitating improved operational guidelines [2] Group 3: Market Development Prospects - The market is expected to accelerate, driven by a combination of policy, technology, and demand factors [3] - Scene-based applications are identified as the core of value creation, emphasizing the need for data to be integrated with real-world scenarios [3] - Data governance is transitioning from a labor-intensive model to an intelligence-intensive model, leveraging automation and AI technologies for efficient and secure data utilization [3]