Core Viewpoint - The Chinese government has issued an opinion to cultivate three types of data circulation service institutions to accelerate the marketization and value realization of data elements, aiming to enhance the data market ecosystem [4][10]. Group 1: Types of Data Circulation Service Institutions - The three types of data circulation service institutions defined are: data exchanges (centers), data circulation service platform enterprises, and data merchants, each with specific roles to play in promoting data circulation and marketization [5][6]. - Data exchanges are encouraged to enhance comprehensive service functions, including rule exploration, compliance assurance, and service matching [5]. - Data circulation service platform enterprises are supported to develop specialized services around industry and supply chains [5]. - Data merchants are urged to expand data acquisition channels and develop diverse data products and services [5]. Group 2: Enhancing Data Market Ecology - The opinion emphasizes the need for a clear functional positioning and collaborative development among various data circulation service institutions to establish a structured framework for the data circulation service system [6][10]. - It aims to stimulate the data market by encouraging diverse data circulation transaction models and enhancing service capabilities [8][10]. - The opinion supports the exploration of innovative data circulation transaction modes, such as data exchange for services or models, to lower transaction costs and promote broader data circulation [8]. Group 3: Addressing Data Scarcity in AI - The opinion addresses the "data scarcity" issue faced by many AI companies by supporting collaboration between data circulation service institutions and industry leaders to build high-quality data sets [9]. - It encourages partnerships with AI enterprises to provide data aggregation, governance, and model training services [9]. Group 4: Future Goals and Implementation - By the end of 2029, the goal is to significantly enhance the capabilities of data circulation service institutions, diversify transaction forms, and enrich data products and services [10]. - The opinion proposes promoting the use of standardized data circulation transaction contracts to ensure compliance and efficiency in data transactions [10]. - Industry experts view this opinion as a systematic and forward-looking design to address the critical "circulation bottleneck" in the value realization of data elements, marking a transition to a more functional and vibrant data market [10][11].

Core Viewpoint - The joint opinion from the National Bureau of Statistics, Ministry of Industry and Information Technology, Ministry of Public Security, and China Securities Regulatory Commission aims to enhance the marketization and valuation of data elements by fostering data circulation service institutions and promoting diverse data trading models by 2029 [1][2]. Group 1: Data Circulation Service Institutions - Data circulation service institutions are crucial for linking data supply and demand, facilitating data transactions, and advancing the marketization of data elements [1]. - The opinion emphasizes the need for significant improvements in the capabilities of data circulation service institutions by the end of 2029, with a more diverse range of trading forms and enriched data products and services [1]. Group 2: Innovative Data Products and Services - The focus is on innovating data products and services that empower technological innovation, industrial development, social governance, and public welfare [2]. - Support is provided for the development of resource-based data products and services, including verification queries, data analysis reports, data indices, and data visualization tools [2]. Group 3: High-Quality Data Sets for AI Development - The opinion encourages the expansion of high-quality data set circulation and trading methods that are suitable for artificial intelligence development [2]. - Collaboration between data circulation service institutions and key industry players is promoted to build high-quality data sets for AI services [2]. Group 4: Data Infrastructure Enhancement - There is a call to improve the collaborative support level of data infrastructure, utilizing existing funding channels to support eligible data circulation service institutions [2]. - The opinion advocates for the strengthening of transaction credentials and identity authentication to facilitate cross-entity, cross-industry, and cross-domain data integration and utilization [2].