2025年中国城市可信数据空间行业研究报告

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - Policy: The establishment of urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data [4][5] - Technology: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6] - Demand: Urban areas face challenges in data resource development and utilization, which the trusted data space aims to address by providing a secure and compliant environment for data circulation [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a trusted data circulation infrastructure [16] Industry Chain and Ecosystem - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers leading the market [24] Application Scenarios - Government Services: The urban trusted data space facilitates inter-departmental data connectivity, enhancing government services and decision-making [27] - Inclusive Finance: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models for inclusive finance [30] Case Studies - Zhangjiakou Trusted Data Space: This initiative employs a "one space, four platforms, one system" architecture to support the secure circulation of public and social data [33][35] - Shanghai Trusted Data Space: This project leverages blockchain technology to meet the complex data needs of a megacity, facilitating the secure and efficient use of data [37][39] Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency within urban trusted data spaces, transitioning from manual to automated governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]