Core Insights - The domestic data factor industry is evolving towards a higher value "government-industry linkage" model, driven by policy guidance and industrial construction [1] - The digital economy's core industries are becoming significant drivers of the overall economic system, with the data factor market expected to exceed 300 billion yuan by 2028, growing at a compound annual growth rate (CAGR) of approximately 20.26% [6] - The establishment of a data value circulation system is crucial for the efficient flow of data assets, with a focus on compliance and rights confirmation [11][13] Policy Analysis - The improvement of the data industry value chain and local data systems is essential for the circulation of data factors, marking a new phase of quality enhancement in the digital industry [3] - The "Data Twenty Articles" policy has initiated the construction of a data ownership system, which is vital for the efficient circulation of data value [11] Market Scale - The digital economy in China has grown from 27.2 trillion yuan in 2017 to 53.9 trillion yuan in 2023, with a CAGR of about 12.07% [6] - By 2025, the overall scale of the data factor industry is expected to reach around 200 billion yuan, with data processing and analysis becoming the largest segment, projected to reach 144 billion yuan by 2028 [6] Data Value Chain Circulation - The construction of a data value circulation system is supported by advanced technology and regulatory compliance, focusing on the phased development of data value [8] - Data asset registration is crucial for the division of ownership and promoting the market circulation of data assets [13] - The establishment of a data evaluation policy framework is necessary for the accurate assessment of data value, which is essential for market circulation [16][17] Capitalization of Data Assets - The entry of data assets into financial statements marks a significant step in the capitalization of data factors, with the implementation of regulations starting January 1, 2024 [19] - The market for data asset transactions is characterized by a "cold inside, hot outside" distribution pattern, with off-market transactions dominating due to their flexibility [21] Industry Practices - The financial sector is expected to see a CAGR of approximately 19.06%, reaching over 100 billion yuan by 2028, driven by the integration of diverse data [32] - The industrial manufacturing sector is projected to grow at a CAGR of about 24.22%, with a focus on high-quality data sets and trusted data spaces [35] - The healthcare industry is anticipated to grow at a CAGR of around 23.69%, emphasizing the compliance and security of personal health data [37] Trends - The construction of high-quality data sets is crucial for the development of the artificial intelligence industry, transitioning from "point breakthroughs" to "holistic development" [40] - The establishment of trusted data spaces will be fundamental for ensuring the circulation and high-value application of data factors [43]

Core Insights - The National Data Bureau is promoting the construction of high-quality data sets through a structured approach, focusing on general, industry-specific, and specialized categories [1] - The bureau is initiating a special action for ecological cultivation, which includes collecting and promoting exemplary high-quality data sets from sectors like healthcare, industry, and transportation [1] - Seven cities, including Hefei and Chengdu, are being guided to establish data labeling bases as pilot projects, with significant progress reported in data set construction [1] Group 1 - The National Data Bureau's deputy director, Luo Yongying, announced the ongoing efforts to advance high-quality data set standards [1] - The initiative includes three main aspects: promoting exemplary data sets, hosting technical exchange activities, and creating a platform for supply-demand matching [1] - As of mid-2023, the seven data labeling bases have constructed 524 data sets, exceeding 29 petabytes in scale, and are serving 163 large models [1]

Group 1 - The release of the "Regulations on Government Data Sharing" marks a new phase of legal governance for data sharing in China, providing a legal framework for efficient data circulation and enhancing government digital governance capabilities [2][3] - The regulations address existing issues such as incomplete mechanisms and unclear responsibilities in government data sharing, aiming to eliminate "data silos" and improve the efficiency of data utilization [2] - The establishment of 10 national data element comprehensive pilot zones in various provinces aims to support the integration of the real economy and digital economy, fostering a robust data market ecosystem [3] Group 2 - A seminar on high-quality data set construction and standardization was held, focusing on guidelines, format requirements, and quality assessment for data sets, which will facilitate the application of artificial intelligence in central enterprises [4][5] - Guangzhou's "Digital Guangzhou Construction 2025 Work Points" outlines 32 key tasks for digital transformation, emphasizing the development of data resources and the establishment of a governance system for data circulation [5]