本报讯(记者聂伟)近日，记者从国家数据局举办的"数据要素×"系列第三场新闻发布会上获悉，今年4月 江苏统一的数据交易所挂牌运营，5个多月来已上架数据产品3933个，集聚数据商和第三方服务机构 1864家。 江苏省数据局党组副书记、副局长兼省发展改革委副主任李秀斌在会上答记者问时说，江苏贯彻国家顶 层设计，着力解决数据"不敢用、不够用、不好用"的矛盾和问题，让数据从"存起来"的资源，变成"用 起来"的工具、"活起来"的资产。 解决"制度不明不敢用"难题。国家出台"数据二十条"后，江苏战略性重构省市县三级数据管理体制，颁 布实施省级数据法规《江苏省数据条例》；配套出台公共数据授权运营管理办法、实施方案和资源登记 规范，明确"谁运营、怎么运营、怎么监管"；率先组建省级数据标准化委员会，贯彻《国家数据标准体 系建设指南》，加快推进标准化工作，从规范标准上推动扫清数据流通的障碍。 补强"数据不足不够用"短板。推进构建以公共数据"一本账"为标志的全省一体化数据资源体系，让数据 找得到、调得出。梳理了676项高价值数据，与国家同步上线数据资源登记平台，为数据应用提供优质 原料。 疏通"渠道不畅不好用"堵点。整合存量机构设立 ...

在贵阳市花溪区燕楼镇数字农业产业园内，贵州品品鲜生物科技有限公司的生产车间忙碌而有序。一个 个满装鹿茸菌的栽培瓶，沿着智能化流水线，被传送到工人手中，快速打包后陆续发往全国各地。"依 靠生产用电数据获得1000万元贷款后，我们新增了3条生产线，日产能提升到12万瓶。"公司负责人江先 赐对未来的生产信心满满，计划年内将日产能进一步扩大到15万瓶。 南方电网贵州电网公司信息中心数据应用部副总经理缪新萍认为，贵州电力数据成功在金融领域释放价 值，打破了企业与金融行业之间的壁垒，意味着电力数据将为更多优质中小微企业运营、发展提供有效 支撑，实现数据价值的跃升。 近年来，贵州电网公司在数据知识产权保护和转化方面不断探索，累计开发数据产品100余个，与政府 机构签署数据合作协议50余份，为政府精准施策、企业发展等提供支撑，全方位释放电力数据要素价 值。 南方电网贵州电网公司信息中心副总经理梁晓茜说，未来，公司将继续深度参与数据要素市场建设，进 一步挖掘电力数据在多场景中的应用价值，与各方共同探索数据开发利用的创新路径，助力贵州建设国 家数据要素综合试验区。 （文章来源：经济日报） 此前，该公司因鹿茸菌产品市场反响好，早有 ...

Group 1 - The Beijing International Big Data Exchange is the first domestic data exchange based on a new trading model, aiming to create a new data trading model and establish a comprehensive data circulation mechanism that includes registration, evaluation, sharing, trading, application, and services [2] - The research team visited several companies, including Youloka Mining Technology Co., Ltd. and Taiying Technology Group Co., Ltd., to understand their development history, business scope, market position, and future plans [1] - A cooperation intention was reached regarding data element sharing, with both parties recognizing the broad cooperation space in the field of data element circulation [1] Group 2 - Mushroom Car Union, founded in November 2017, is a leading provider of full-stack technology and operational services for autonomous driving [2] - Beijing Younuo Technology focuses on full data elements and true intelligent twin technology services [2] - The meeting discussed various topics, including the establishment procedures for data trading institutions, development positioning, standard specifications, operational models, product applications, and computing power scheduling [1]

Core Insights - The Taian High-tech Zone is actively engaging in investment attraction by exploring partnerships with key companies in the data and technology sectors [1] - The meeting highlighted the potential for collaboration in the data element circulation field, aiming to establish a data service center in the high-tech zone [1] Group 1: Investment and Collaboration - Zhao Huawai, a member of the Taian High-tech Zone Party Committee, led a delegation to the Beijing International Big Data Exchange to promote investment [1] - The meeting included discussions with three companies: Beijing International Big Data Exchange, Mushroom Car Union, and Beijing Younuo Technology, focusing on deepening cooperation and driving industrial development [1] Group 2: Company Highlights - The Beijing International Big Data Exchange is the first domestic data exchange based on a new trading model, focusing on data registration, evaluation, and trading [1] - Mushroom Car Union, established in November 2017, shared its achievements in L4 level autonomous driving technology and AI network construction for real-time interaction with the physical world [1] - Beijing Younuo Technology engaged in discussions regarding multi-party cooperation directions, expected goals, implementation methods, and future plans [1] Group 3: Future Plans and Goals - The chairman of the Beijing International Big Data Exchange, Li Zhenjun, emphasized the broad cooperation space with the high-tech zone in the data element circulation sector [1] - The collaboration aims to leverage the industrial advantages of the high-tech zone to accelerate the creation of new productive forces and achieve high-quality development for enterprises [1]

Core Insights - The establishment of the Kunming International Data Exchange and the launch of the Kunming Artificial Intelligence Industry Alliance mark significant advancements in the market-oriented allocation of data elements and the development of the AI industry in Yunnan [1][3]. Group 1: Data Exchange and Innovations - The Kunming International Data Exchange released the "Data Product Development Practice White Paper," which outlines a comprehensive standard framework for data product development based on Yunnan's resource endowments and industrial characteristics [3]. - The "Caiyun Data Creation - High-Quality Data Product Empowerment Zone" provides end-to-end support for data service providers, facilitating the transformation of raw data into tradable assets and aligning with customer needs [3]. - The "Trusted Data Space," leveraging China Mobile's core technology, integrates advanced technologies such as privacy computing and blockchain, ensuring data usability while maintaining privacy [3]. Group 2: Market Impact and Achievements - Since its launch in March 2025, the Kunming International Data Exchange has focused on Yunnan's unique data resources, registering 284 products and facilitating transactions worth 5.9 million yuan, establishing a data circulation service system centered around Kunming [4]. - The newly formed Kunming Artificial Intelligence Industry Alliance aims to consolidate resources across the industry chain, promoting the widespread application and innovative development of AI technology in Kunming and Yunnan [3][6].

Core Viewpoint - The integration of digital technology into various sectors has made data a key production factor alongside labor, land, capital, and technology, emphasizing the need for effective data assetization to drive high-quality economic development [2][7]. Group 1: Data as a Production Factor - Data must undergo systematic processing, such as collection, cleaning, and labeling, to transform from raw data into valuable production factors [3]. - Despite the growth of China's digital economy, successful utilization of data resources is primarily seen in internet platform companies, with insufficient inter-organizational and market data circulation [3][4]. Group 2: Challenges in Data Value Realization - Several constraints hinder the trading and circulation of data, including unclear ownership, scene-dependent valuation, and security concerns [4]. - Companies often prefer internalizing data services rather than engaging in market transactions due to security and ownership issues [4]. Group 3: Current Practices and Innovations - Various organizations are exploring data resource integration and productization, leading to the emergence of data trading institutions and successful case studies [5][6]. - Data products are evolving into standardized datasets, analytical reports, and decision models, enhancing the measurement of data value [5][6]. Group 4: Future Directions for Data Value Realization - The realization of data value is crucial for strengthening the digital economy and promoting the synergy between industrial digitalization and digital industrialization [7]. - Emphasis should be placed on improving data collection, management, and sharing mechanisms across different sectors to fully unleash the potential of data as a production factor [7].

Core Insights - The data trading market is a complex system focused on the circulation of data products and services, aiming to solve the challenges of data flow and unlock data value [1][5] - China's data trading market has rapidly evolved since its inception in 2015, with a projected market size of 2,115.4 billion yuan by 2024 and expected to exceed 7,159 billion yuan by 2030 [1][7] - The global data trading market reached approximately $126.1 billion in 2023, with Asia-Pacific being the fastest-growing region [7] Industry Overview - The data trading market consists of data providers, data consumers, trading venues, technical support, third-party service providers, and regulatory bodies, forming a complete ecosystem [2] - Data trading can be categorized by trading venues (on-exchange and off-exchange) and product types (data sets, data services, data applications, and off-exchange services) [3] Policy Framework - The Chinese government has implemented a series of policies, including the "Data Twenty Articles," to support the development of the data trading market, focusing on data ownership, circulation, revenue distribution, and security governance [6] - The policies aim to create a standardized, compliant, and scalable market structure, enhancing the overall ecosystem [6] Global Market Trends - The global data trading market is expected to grow to $177.9 billion by 2025 and surpass $370.8 billion by 2030, with North America, Europe, and Asia-Pacific as the three core markets [7] - Key industries driving data trading include finance, healthcare, retail, and manufacturing [7] China's Market Development - By 2025, China's data trading market is expected to reach 2,840.9 billion yuan, with a compound annual growth rate of 20.3% from 2025 to 2030 [7][8] - The market has developed a multi-layered structure with one national-level exchange and over 50 regional institutions [7] Regional Market Dynamics - The data trading market in China exhibits a "gradient differentiation and collaborative development" pattern, with leading regions including Guangdong, Zhejiang, Jiangsu, Shanghai, Beijing, and Guizhou [15] - The Yangtze River Delta and Guangdong-Hong Kong-Macau Greater Bay Area are identified as the primary trading regions [15] Future Trends - The data trading market is transitioning towards "fine value mining" driven by technologies such as privacy computing and AI, with significant growth expected in vertical industries like manufacturing and healthcare [16] - The integration of data trading with logistics and finance is anticipated to create new growth opportunities, particularly in cross-border data flow [17] - A nationwide integrated market is forming, with key nodes like Beijing, Shanghai, and Guizhou collaborating to enhance resource allocation and break down data silos [18]

Core Insights - The data trading market in China is experiencing a significant increase in the number of data products launched, with a total of 477 products introduced in August, up by 162 from July [2] - Despite the increase in product offerings, key performance indicators have shown a decline, indicating structural issues within the market [2][5] - The "application potential" score has dropped sharply by 25.25% from July, reaching its lowest point in six months, highlighting a decrease in market interest and engagement [2][5] Market Performance - In August, the four core indicators of the data trading market saw varying degrees of decline, with "application potential" experiencing the most significant drop [2] - The "element density" score decreased from 4.25 to 4.04, while the "stability coefficient" slightly fell to 2.08 [2] - "Transparency" remains the weakest area, scoring only 1.50, which has been a long-term constraint on market development [2][4] Product Insights - The majority of high-scoring data products are concentrated in data sets and data interfaces, with 328 products in these categories, accounting for over 60% of the total [3] - "Data participation" scores remain high across institutions, while "data integration" scores have shown fluctuations, particularly declining in several exchanges [3] Governance and Compliance - The "stability coefficient" scores vary significantly among institutions, with Beijing and Shanghai leading in compliance [4] - The Zhengzhou Data Trading Center has the highest score in "data grading" but shows weaknesses in "data sources" and "usage constraints," indicating potential governance issues [4] - Overall, the market lacks effective regulations on key aspects such as data product limitations and cross-border circulation, necessitating a comprehensive data supervision framework [4] Application Potential - The decline in the "application potential" score is primarily driven by a significant drop in the "attention" metric, with several institutions reporting a halving of their scores [5] - The overall "reusability" scores have also decreased, reflecting insufficient motivation for optimizing data products [5] - The "update frequency" scores have remained stagnant for most institutions, indicating a lack of innovation and responsiveness in the data trading market [5]

Group 1 - The State Council has approved a two-year pilot program for market-oriented allocation of factors in ten cities, including Changsha, Zhuzhou, and Xiangtan, aiming to break down barriers to factor flow and empower high-quality regional development [1][6] - The pilot will focus on seven dimensions of reform, including optimizing innovation resource allocation and efficient transformation of scientific and technological achievements [2][6] Group 2 - Land reform will prioritize the protection of arable land while promoting flexible land supply models, such as "rent first, then let" and "standard land + commitment system" [3] - Human resource reforms will include relaxed household registration policies and a talent sharing incentive system to attract high-level talent [3] Group 3 - The data factor market will be explored, with initiatives for public data management and prioritizing the opening of high-value datasets [4] - Capital factor reforms will focus on meeting the needs of the real economy, promoting credit loan innovations, and enhancing financial services for small and medium enterprises [4] Group 4 - Green development reforms will enhance resource and environmental factor management, including the establishment of a market for pollution rights and water rights [5] - The pilot program aims to create replicable and scalable experiences for national factor market-oriented allocation reforms, contributing to the "Changsha-Zhuzhou-Xiangtan" model [6]

Group 1 - Zhengzhou has been selected as one of the ten pilot cities for comprehensive reform of factor market-oriented allocation, which will be implemented over the next two years [1][2] - The reform will cover traditional factors such as land, labor, and capital, as well as innovative factors like technology and data [1][2] - The initiative aims to break regional market barriers, optimize resource allocation efficiency, and promote high-quality economic development [1][3] Group 2 - Zhengzhou's strategic location as a central city and international transportation hub enhances its role in the national unified market construction [2] - The city has established a data trading center that has completed nearly 1,500 transactions with a total transaction value exceeding 3.8 billion [2] - The pilot implementation plans emphasize tailored approaches based on local strengths and national needs [2] Group 3 - The reform plan for Zhengzhou focuses on promoting innovation in technology factors and increasing financial support for original, technological, and industrial innovations [3] - It includes initiatives to enhance cooperation between local equity trading centers and national securities markets, as well as support for public data asset registration and pricing mechanisms [3] - The reform is expected to create a fairer market competition environment and stimulate economic development and innovation [3][4]