在支持产业园建设方面，对经认定的贵州省数智产业园，每年最高给予500万元项目奖补。融资有贴 息，对数据标注企业当年用于业务发展的银行贷款，最高给予500万元贴息支持。 为加快推动政策的见效落地和精准实施，贵州省大数据发展管理局还发布了《2025年度贵州省鼓励数据 产业发展政策项目资金申报指南》。与此同时，关于数据及数据标注企业、产品等相关认定团体标准的 研究制定和认定筹备工作也在加快推进中。(完) "对数据从业人员达到一定规模的企业，分档次给予100万元(人民币，下同)至1000万元的重磅奖 励。"贵州省大数据发展管理局局长朱宗尧18日在贵州省政府新闻办举行的新闻发布会上说，《贵州省 大数据发展专项资金支持数据产业重点发展方向(2025年版)》(简称，政策文件)近期已正式印发。 作为中国首个国家级大数据综合试验区，贵州2024年数字产业规模达2549.4亿元，数字经济增速连续9 年位居中国前列。出台的政策文件内容涵盖8个方面，覆盖特色产业培育、人才队伍建设、高质量数据 供给、产品技术标准创新、场景应用拓展、财政金融支撑等关键环节。 聚焦支持培育特色产业集群，政策文件设置企业规模与营收"双重奖励"，如业务增长即 ...

Core Insights - Jiangsu Province has officially launched its first batch of 15 public service platforms for the data industry, with Suzhou having three platforms selected, ranking among the top in the province [1][2] Group 1: Selected Platforms - The three selected platforms focus on providing public services such as circulation and transaction, innovation development, and entrepreneurial incubation for data industries and enterprises, showcasing distinct characteristics of industrial integration [1] - Su Data Communication - One-stop Public Service Platform for Enterprises Going Abroad, led by Suzhou New Jian Yuan Digital Technology Co., integrates services for cross-border data, e-commerce, and offshore trade, offering comprehensive support from data export declaration guidance to compliance counseling, effectively helping enterprises reduce compliance costs and enhance efficiency [1] - The Public Service Demonstration Platform for Information System and Product Quality Safety Testing and Certification, led by the East China Branch of the Ministry of Industry and Information Technology's Fifth Research Institute, focuses on data-enabled testing and certification, providing services such as information system testing and data security assessment [1] - Tsinghua Suzhou Environmental Innovation Research Institute's Ecological Environment Data Industry Public Service Platform aims to create a full-chain service ecosystem for ecological environment data, focusing on "innovation development" and "entrepreneurial incubation," and is involved in developing the world's first fully open-source carbon footprint management platform [1] Group 2: Policy and Future Plans - Suzhou has taken the lead in the province by formulating relevant policy documents to accelerate the data industry's development through top-level design, aiming for effective supply, fluid circulation, optimal usage, and security [2] - The city plans to continue strengthening the cultivation and guidance of public service platforms for the data industry, focusing on demonstration leadership, resource integration, and capability release, to establish a comprehensive public service system for the data industry and accelerate the development ecosystem [2]

Core Viewpoint - The Guizhou Provincial Government has issued policies to encourage the development of the data industry, focusing on enhancing computing power and optimizing data center operations [1] Group 1: Policy Initiatives - The policies support the use of accessible computing power and aim to evaluate and optimize the operational efficiency of data centers and intelligent computing centers [1] - There is an emphasis on the large-scale development of computing power clusters, which is expected to enhance the overall service capability of Guizhou's computing resources [1] Group 2: Financial Support and Incentives - The government plans to issue "computing power vouchers" to help reduce the cost of computing power for enterprises, thereby promoting the training and adaptation of large models [1] - The initiative aims to attract global users to utilize Guizhou's computing resources, enhancing the province's competitiveness in the data industry [1]

Core Insights - The data industry in China is experiencing rapid growth during the 14th Five-Year Plan period, with projections indicating that the number of data enterprises will exceed 400,000 by 2024 and the industry scale will reach 5.86 trillion yuan, representing a 117% increase compared to the end of the 13th Five-Year Plan [1] Group 1 - The number of data enterprises in China is expected to surpass 400,000 by 2024 [1] - The scale of the data industry is projected to reach 5.86 trillion yuan, reflecting a significant growth of 117% from the end of the previous Five-Year Plan [1] - The data industry is anticipated to maintain a high growth rate in the coming years [1]

Group 1 - The core viewpoint is that during the "14th Five-Year Plan" period, China's data industry is experiencing rapid growth, with significant increases in both the number of data enterprises and the overall industry scale [1] - By 2024, the number of data enterprises in China is expected to exceed 400,000, and the data industry scale is projected to reach 5.86 trillion yuan, representing a 117% increase compared to the end of the "13th Five-Year Plan" [1] - The growth trend of the data industry is expected to continue at a high level in the coming years [1]

Core Viewpoint - The National Data Bureau is actively promoting the construction of data element comprehensive pilot zones, focusing on eight key areas and 35 pilot tasks to enhance data property rights and market ecology [1] Group 1: Pilot Zone Development - The pilot zone construction is characterized by high-level promotion and broad mobilization, with a focus on local conditions and key areas [1] - The National Data Bureau will increase support for pilot zone construction, track evaluations, and promote mutual learning to achieve "local innovation and national reuse" [1] Group 2: Regional Initiatives - Shandong Province emphasizes institutional development and data circulation to empower the real economy, achieving significant results in various sectors, including the rose industry, where data integration improved efficiency and increased the overall industry value from 3 billion to 6 billion [2] - Beijing has activated social innovation and market participation through public data operations, with over 400 million services provided to financial institutions and market entities, and a trading scale exceeding 10 billion at the Beijing International Big Data Exchange [3] Group 3: Data Industry Development - Guizhou Province focuses on high-quality data industry development by prioritizing public data sharing and utilization, establishing a comprehensive public data directory, and encouraging the creation of trusted data spaces in various sectors [4] - Hubei Province has made significant advancements in medical data utilization, particularly in pathology, with AI systems improving diagnostic speed by over 40% and reducing patient transportation costs by approximately 1.6 billion annually [5] Group 4: Data Market Cultivation - Anhui Province has taken the lead in cultivating data enterprises and industrial parks, introducing "data vouchers" and "computing power vouchers" to support data transactions and services, with nearly 400 million in subsidies benefiting over 200 enterprises [6][7]

Core Insights - The meeting held by the National Data Bureau emphasizes the importance of understanding the mechanisms of data elements and the laws of industry development [1] - The focus is on constructing a national integrated data resource development and utilization system, guided by market-oriented and value-driven principles [1] Group 1 - The meeting calls for strengthening integration and sharing of public data, accelerating the implementation of policies for public data development and utilization to unlock its value [1] - There is a push for innovation in trusted data space pilot projects, aiming to create new models for large-scale circulation and utilization of data [1] - The importance of cultivating an open and innovative data industry ecosystem is highlighted, with an emphasis on benefit coordination, stakeholder cultivation, and ecological aggregation [1] Group 2 - The meeting stresses the need for data registration, resource surveys, and standard construction to solidify the foundational work for high-level development and utilization of data resources [1] - The ultimate goal is to better empower high-quality economic and social development through effective data resource management [1]