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2025年中国数据要素行业发展研究报告
艾瑞咨询· 2025-08-11 00:06
Core Viewpoint - The article discusses the selection of "Outstanding Service Providers in China's Data Element Industry," emphasizing the evaluation process and criteria used to identify top companies in the sector [1][2][4]. Group 1: Evaluation Criteria and Process - The evaluation model includes four core dimensions: industry depth, product and technology capability, service capability, and ecosystem capability, with further breakdown into secondary and tertiary indicators [2]. - The selection process involved consultations with industry experts from data developers, operators, and IT technology firms, ensuring a comprehensive assessment of the nominated companies [1][2]. - The list of top 30 service providers does not imply a ranking or suggest that non-nominated companies lack market strength [1][4]. Group 2: Industry Trends and Developments - The data element market in China is experiencing rapid growth, with projections indicating a market size exceeding 200 billion yuan by 2025, maintaining a compound annual growth rate of over 25% [18]. - The establishment of the National Data Bureau marks a significant step in creating a unified national data market, with various policies aimed at enhancing data circulation and utilization [14][15][26]. - The focus on building a trustworthy data circulation infrastructure is crucial for balancing data privacy and flow efficiency, which is essential for high-quality market development [18][19]. Group 3: Case Studies and Applications - Neusoft's City Data Value Empowerment Platform aims to enhance urban services in health, employment, and smart governance through data integration and innovative service scenarios [7][9]. - The "Fujian Health Public Service Operation Platform" integrates various services to support the entire lifecycle of citizens, promoting collaboration among local resources and industries [10]. - The article highlights the importance of establishing standards and showcasing successful case studies to facilitate the effective release of data value in the market [24][26].