上海数据交易所：上市公司数据价值化研究报告（2025）

Core Insights - The report emphasizes the increasing importance of data as a strategic resource in the digital economy, highlighting its role in enhancing the competitiveness of listed companies and the national economy [12][20][41] - Data valuation encompasses both internal and external value, with internal value arising from systematic processing of raw data and external value depending on market efficiency in data allocation [12][41] - The report outlines a progressive path for data valuation: resourceization, productization, assetization, and capitalization, where each stage creates independent value while supporting one another [12][41] Group 1: Importance of Data Valuation - Data valuation is crucial for listed companies as it can provide new growth opportunities and support economic structural optimization [12][20] - The report constructs a comprehensive evaluation index system covering operational efficiency, management systems, application value, and value-added potential [2][12] - Listed companies are identified as key players in the data valuation process, possessing substantial data resources and a strong governance structure [20][22] Group 2: Policy Framework and Institutional Design - The "Data Twenty Articles" policy framework has been established to facilitate data valuation, addressing issues of data ownership and market circulation [31][34] - The National Data Bureau is actively promoting industry consensus and standardizing terminology to enhance the understanding and implementation of data valuation [32][33] - The Ministry of Finance has clarified the asset attributes of data, allowing companies to recognize data as intangible assets or inventory in financial statements [34][35] Group 3: Practical Pathways and Case Studies - The report highlights successful case studies from companies like Tuolisi, Aerospace Hongtu, and Wanda Information, showcasing effective data resource management and valuation practices [2][10] - The data valuation process is seen as a critical pathway for companies to transition from traditional value creation methods to data-driven strategies [23][24] - The report suggests that companies should develop data valuation strategies, enhance operational capabilities, and improve data asset management systems to fully realize data value [2][12] Group 4: Future Outlook and Recommendations - Data valuation is expected to become a key strategic focus for companies, with an acceleration in the process of data asset recognition [2][12] - The report encourages companies to adopt proactive data governance and disclosure practices to enhance market transparency [12][14] - It anticipates that the integration of data assets into corporate valuations will increasingly influence investment decisions and market performance [2][12]