Core Insights - Data is recognized as the fifth production factor, with its value extraction process being more complex than traditional production factors due to its non-competitive, replicable, and infinite growth characteristics [1] - The development of a market-oriented system, represented by local data trading institutions and data merchants, is becoming the core driver for the growth of the data factor market [1][2] - The establishment of a clear policy framework and implementation path is crucial for enhancing the value of data elements, aiming for a well-functioning ecosystem of data supply and usage [1][4] Current Situation Analysis - The data factor market system is gradually improving, driven by policy guidance and industrial construction, focusing on data, technology, and infrastructure [2] - The digital economy's core industries are becoming significant drivers for the overall economic development in China, with the data factor market expected to grow at a compound annual growth rate (CAGR) of approximately 20.26% to exceed 300 billion by 2028 [6] Policy Analysis - The improvement of the policy framework for the data industry value chain and the establishment of local data systems are essential for the circulation of data factor value [4] Market Size Calculation - China's digital economy has grown from 27.2 trillion in 2017 to 53.9 trillion in 2023, with a CAGR of about 12.07% [6] - The data processing segment, focusing on data processing and analysis, is expected to become the largest sub-industry within the data factor market, reaching approximately 144 billion by 2028 [6] Data Value Chain Circulation - The establishment of a data ownership system based on the "Data Twenty Articles" is crucial for ensuring efficient circulation of data value [11] - Data registration is essential for asset ownership division and promoting data value release, with a "1+3" policy framework guiding public data resource management [13] - The data valuation policy framework is becoming more refined, with public data resource quantification standards emerging as important benchmarks [16] Capitalization of Data Assets - The entry of data assets into financial statements marks a significant step in the capitalization of data elements, with regulations coming into effect in 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 and customization [21] Industry Practices - The financial sector is expected to see a CAGR of approximately 19.06%, reaching over 100 billion by 2028, driven by the integration of diverse data [30][31] - 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 [34] - The healthcare sector's data element scale is expected to grow steadily, with a CAGR of about 23.69%, emphasizing the importance of data compliance and security [36] Trends - High-quality data sets are becoming key to driving the artificial intelligence industry, with a shift from "single-point breakthroughs" to "holistic development" [39][40] - The construction of trusted data spaces will be crucial for ensuring the circulation and high-value application of data elements [42]

Core Insights - Data, as the fifth production factor, has unique characteristics such as non-competitiveness, replicability, and infinite growth potential, making its value extraction process more complex than traditional production factors [1] - The development of a market for data elements relies heavily on a clear policy framework and implementation pathways, with local data trading institutions and data merchants becoming key drivers [1][2] - The domestic data element market is expected to grow at a compound annual growth rate (CAGR) of approximately 20.26%, surpassing 300 billion yuan by 2028 [6] Current Situation Analysis - The data element market system is gradually improving, driven by policy guidance and industrial construction, focusing on data, technology, and infrastructure [2] - The digital economy's core industries are becoming significant drivers of the overall economic system, with the digital economy scale increasing from 27.2 trillion yuan in 2017 to 53.9 trillion yuan in 2023, doubling in six years [6] Policy Analysis - The improvement of the policy framework for the data industry value chain and the establishment of local data systems are crucial for the circulation of data element value [4] Market Scale Assessment - The data element industry is projected to reach approximately 200 billion yuan by 2025 and exceed 300 billion yuan by 2028, with data processing and analysis being the largest segment [6] Data Value Chain Construction - The establishment of a data value circulation system is supported by advanced technology and regulatory compliance [8] - The construction of a data ownership system based on the "Data Twenty Articles" is essential for efficient data value circulation [11] Data Registration - Data registration is critical for asset ownership delineation and promoting data value release, with a "1+3" policy framework guiding public data resource management [13] Data Value Assessment - The data valuation policy framework is becoming more refined, with public data resource quantification standards emerging as important benchmarks [16] Data Asset Capitalization - The capitalization of data assets is a core practice for realizing data value, with the implementation of regulations marking a new era for data asset inclusion in financial statements starting January 1, 2024 [19] Data Asset Trading - The data market exhibits a distribution pattern of "internal cold, external hot," with off-market transactions dominating due to their flexibility and customization [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 data element integration [31] - 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 [34] - The healthcare industry is anticipated to grow at a CAGR of around 23.69%, emphasizing the compliance of personal health data applications [36] Trends - High-quality data set construction is becoming a key factor in advancing the artificial intelligence industry, transitioning from "point breakthroughs" to "holistic development" [39] - The establishment of trusted data spaces will be crucial for ensuring the circulation and high-value application of data elements [42]

Core Insights - Data, as the fifth production factor, has unique characteristics such as non-competitiveness, replicability, and infinite growth potential, making its value extraction process more complex than traditional production factors [1] - The development of a market for data elements relies heavily on a clear policy framework and implementation pathways, with local data trading institutions and data merchants becoming key drivers [1][2] - The integration of government and industry is essential for establishing a robust ecosystem for data supply and usage, aiming for a phased goal of effective supply, fluid movement, good utilization, and security [1] Current Status of the Data Element Industry - The data element market system is gradually improving, driven by policy guidance and industrial construction, focusing on data, technology, and infrastructure [2] Policy Analysis - The improvement of the policy framework for the data industry value chain and the establishment of local data systems are crucial for the circulation of data element value [4] Market Scale Estimation - The domestic data element market is expected to grow at a compound annual growth rate (CAGR) of approximately 20.26%, surpassing 300 billion yuan by 2028 [6] - The digital economy's core industries are projected to contribute significantly to the overall economic development, with the digital economy scale increasing from 27.2 trillion yuan in 2017 to 53.9 trillion yuan in 2023, reflecting a CAGR of about 12.07% [6] Data Value Chain Construction - The construction of a data value circulation system is supported by advanced technology and regulatory compliance [8] Data Compliance and Rights Confirmation - The establishment of a data ownership system based on the "Data Twenty Articles" is crucial for ensuring efficient circulation of data value [11] - The legal framework for data rights confirmation is expected to evolve, addressing challenges such as data classification and compliance standards [11] Data Registration - Data registration is essential for asset ownership division and promoting data value release, with a "1+3" policy framework guiding public data resource management [13] Data Value Assessment - The data valuation policy framework is becoming more refined, with public data resource quantification standards emerging as important benchmarks [16] Data Asset Inclusion in Financial Statements - The inclusion of data assets in financial statements marks a significant step towards capitalizing data elements, with regulations coming into effect in 2024 [19] Data Asset Trading - The data market exhibits a "cold inside, hot outside" distribution pattern, with off-market trading dominating due to its flexibility and customization [21] Capitalization of Data Assets - Capitalization of data assets is becoming a core method for value release, optimizing the asset-liability structure of data-intensive enterprises [23] Data Asset Tokenization - Data asset tokenization represents the highest level of data value application, integrating physical asset digitization with digital asset monetization [25] Industry Practice: Market Size Breakdown - Data resource-intensive industries are central to the data element market, with finance and internet sectors collectively holding about half of the market share [28] Practical Scenarios: Financial Industry - The financial sector is expected to see a CAGR of approximately 19.06%, reaching over 100 billion yuan by 2028, driven by data element integration [31] Practical Scenarios: Industrial Manufacturing - The industrial manufacturing sector is projected to grow at a CAGR of about 24.22%, driven by the demand for high-quality data and cross-industry data resource sharing [34] Practical Scenarios: Healthcare Industry - The healthcare sector's data element scale is expected to grow at a CAGR of approximately 23.69%, surpassing 25 billion yuan by 2028 [36] Trends: High-Quality Data Set Construction - High-quality data sets are becoming key to driving AI industry development, with a focus on systematic data collection and processing [39] Trends: Trusted Data Space Construction - The establishment of trusted data spaces is essential for ensuring the secure circulation and high-value application of data elements [42]

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 survey conducted by Shupeng Technology and the Public Data Alliance highlights the growing recognition among enterprises of the importance of a trusted data space for enhancing data security, facilitating cross-organizational data flow, and promoting data element operations [1][2] - A significant 70% of surveyed enterprises plan to initiate the construction of a trusted data space in the near future, indicating a strong market trend towards this infrastructure [1][12] Group 1: Motivation and Demand - The primary driver for the construction of trusted data spaces is top-down policy support, cited by 66.7% of respondents, followed closely by self-development needs and collaborative ecosystem building, each at 63.0% [4] - The most urgent demand scenario identified is achieving cross-organizational data flow, with 66.7% of enterprises prioritizing this need, followed by data element operations at 63.0% [7] Group 2: Challenges and Technology Selection - The main challenge faced in building trusted data spaces is the high cost and resource investment, reported by 74.1% of respondents, followed by difficulties in technology integration due to data heterogeneity (55.6%) and a lack of professional talent (55.6%) [6] - The technology requirements for trusted data spaces show a clear hierarchy, with identity authentication and access management being the most critical technology at 77.8%, followed by data interoperability and privacy computing at 66.7% [9] Group 3: Deployment Methods and Cost Expectations - The preferred deployment method for trusted data spaces is SaaS, favored by 63.0% of respondents, as it addresses the high resource and cost challenges effectively [8] - Over 65% of small and medium-sized enterprises prefer using government-provided or leading enterprise-led trusted data spaces, while larger enterprises show a higher inclination towards self-built private deployments [12] Group 4: Future Trends and Development Recommendations - Recommendations for future development include strengthening ecosystem collaboration among government, leading enterprises, and data infrastructure providers to explore innovative business models [14] - Accelerating core technology evolution is essential, with a focus on lightweight architecture and AI integration to support high concurrency and intelligent applications [14]

4月8日周二《新闻联播》要闻21条 智通财经4月8日电，今天《新闻联播》主要内容有： 17、巴称加沙地带汗尤尼斯等多地遭以军袭击 致42人死亡 多个联合国机构发表联合声明呼吁恢复加沙 地带停火； 1、【新思想引领新征程】发展新质生产力 农业现代化步伐加快； 2、李强同欧盟委员会主席通电话； 3、李希出席全国巡视工作会议暨二十届中央巡视省（区、市）动员部署会； 4、二十届中央第五轮巡视对象公布； 5、【锲而不舍落实中央八项规定精神】中央和国家机关扎实有序开展学习教育； 6、我国电商物流活跃度进一步提升； 7、我国中小企业创新活力进一步释放； 8、多部门：坚决维护资本市场平稳运行； 9、【一线调研】中国农机"出海"跑出加速度； 10、中国第41次南极考察取得一批重要科研成果； 11、工业和信息化部确定168个万兆光网试点入围项目； 12、我国首次实现连续三年水库安全运行； 13、国家首度开展可信数据空间建设试点； 14、离境退税"即买即退"服务今起在全国推广； 15、一季度浙江中欧班列进出口6.3万标箱； 16、欧盟委员会提议对部分美国产品征收25%关税：（1）多国表示美关税政策破坏国际贸易体系； （2）美国人士 ...