数据智能服务产业发展研究报告（2025年）

Investment Rating - The report does not explicitly provide an investment rating for the data intelligence service industry Core Insights - The data intelligence service industry is experiencing explosive growth driven by the integration of data as a core production factor and artificial intelligence technology, reshaping global industrial competition [6][7] - The industry is characterized by a high degree of knowledge and technology density, multi-modal development, and tight industrial collaboration, indicating a significant transformation in traditional data and AI sectors [23][30] - The report emphasizes the importance of data quality and governance as critical factors for the success of AI applications, highlighting that without high-quality data, effective AI solutions cannot be achieved [19][22] Summary by Sections Overview of the Data Intelligence Service Industry - The data intelligence service industry is defined as a new type of industry driven by the deep integration of AI and data engineering technologies, focusing on creating a new supply system for intelligent capabilities [13][16] - The industry is recognized as a key variable in the development of AI and data sectors, receiving significant attention from major global economies [13][20] Key Elements of the Data Intelligence Service Industry - The report identifies eight core elements that support the prosperity of the data intelligence service ecosystem, including technology, resources, products, infrastructure, platforms, models, tools, and talent [36][39] Data Intelligence Service Industry Chain - The industry chain consists of four layers: foundational, technical, application, and support, which together create a complete collaborative ecosystem for innovation and value transformation [50][54] - The foundational layer includes computing facilities, data infrastructure, and data governance services, which provide essential resources for downstream innovation and application [55][56] Global Development Trends - The United States holds a dominant position in the global data intelligence service industry, driven by disruptive technologies and active private capital [33] - The European Union adopts a differentiated competitive strategy, focusing on strict regulatory frameworks and industrial depth to shape global standards [34] - China is rapidly emerging as a highland for data intelligence applications, leveraging its vast data resources and market scale to explore new paths for data factorization [35] Importance of Data Intelligence Services - Data intelligence services extend the value chain of the data industry, transforming raw data into high-quality datasets for AI applications, thus enhancing the efficiency and circulation of data elements [27][28] - The industry creates diverse employment opportunities, contributing to social stability and economic development [31]