In recent years, the rapid development and practical application of new generation artificial intelligence technologies such as big language models, multimodal big models, embodied intelligence, and intelligent agents have brought tremendous impact and changes to fields such as scientific research, production and manufacturing, and life services. Data intelligence has become a key variable in the development of artificial intelligence and data element industries, and has received high attention from major countries around the world. Recently, the China Academy of Information and Communications Technology released the "Research Report on the Development of Data Intelligence Service Industry (2025)", which shows that under the dual empowerment of "artificial intelligence+" and "data elements x", the data intelligence service industry has entered an explosive growth period and become a core force in promoting industrial upgrading and high-quality economic development. The report points out that the data intelligence service industry is a new type of industry born under the dual drive of intelligent technology and data technology. It not only forms a new technological system, but also gives birth to new industrial systems, application ecosystems, service models, and governance mechanisms. The data intelligence service industry is an organic integration of "data, intelligence, and services", and is an important form of production factors, productivity, and value realization. The breakthroughs in current technologies such as big models and intelligent agents are essentially the result of the improvement in data scale and quality. The data intelligence service industry provides standardized and scenario based datasets for the intelligent industry through specialized services such as data cleaning, labeling, synthesis, and desensitization, solving the pain points of difficult data acquisition, low quality, and high cost in the intelligent industry. In the medical field, data intelligence service institutions provide high-quality training data for medical AI enterprises through compliant collection and professional labeling, improving model diagnostic accuracy and shortening the technology implementation cycle. The report believes that the data intelligence service industry is a key channel to connect data, intelligence, and industry. On the one hand, data intelligence services can promote the combination of general intelligent technology and vertical industry data, forming solutions that are adapted to specific scenarios, and solving the problems of difficult implementation and poor adaptation of traditional intelligent technologies. On the other hand, data intelligence services can also break down data barriers and technological barriers between different industries through standardized data interfaces and cross industry intelligent tools, promote the cross industry circulation of data elements in industries such as industry, finance, healthcare, and transportation, and promote the deep integration of intelligent services with various industries. The report proposes that the ability to provide data intelligence services is a key cornerstone for advancing the "Artificial Intelligence+" initiative. Driven by the dual drivers of accelerated technological iteration and deepening industry demand, the industry is showing development trends such as architecture agility, application vertical deepening, value upgrading, and governance integration. It also promotes the development of data intelligence services from basic capacity building to a higher stage of deep integration with the real economy, security and trustworthiness, and continuous empowerment. (New Society)