《数据智能服务产业发展研究报告（2025年）》发布

Group 1 - The core viewpoint of the event is that the data intelligence industry is enhancing overall factor productivity and supporting the development of new productive forces in China [1] - The China Academy of Information and Communications Technology (CAICT) has established a foundational infrastructure for trusted data circulation, represented by industrial internet identification resolution networks and blockchain technologies, facilitating cross-system, cross-industry, and cross-regional data utilization [1] - CAICT plans to focus on four directions to promote high-quality development of the digital economy: building data infrastructure centered on data circulation, creating a data application system based on high-quality datasets, developing a multi-dimensional evaluation system supported by full-chain standards, and exploring international cooperation through product digital passports [1] Group 2 - A data intelligence service industry map was released at the event, structured around a core framework of "infrastructure layer - technology layer - application layer - support layer," covering key aspects such as data infrastructure, data governance services, underlying development frameworks, model algorithms, multi-industry applications, and industrial carriers [2] - The "Spark Identification ×" ecological cooperation product authorization plan was launched, focusing on the integration of identification and data, aiming to empower 100 enterprises with 500 high-quality "identification × data" integrated application products, promoting large-scale application in key industries and scenarios [2]