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数据资产质押融资:破解中小企业“数据沉睡”难题
Zhong Guo Jing Ying Bao·2025-08-15 18:29

Core Insights - The value of data as an economic factor is increasingly recognized, with the number of data enterprises in China expected to exceed 400,000 and the data industry scale projected to reach 5.86 trillion yuan by 2024, marking a 117% increase from the end of the 13th Five-Year Plan [2] - Policy breakthroughs, such as the implementation of accounting regulations for enterprise data resources, have transformed data from an intangible asset to a measurable asset, facilitating innovative financing practices [2] - The emergence of various "first cases" of data asset pledge financing provides new pathways for small and medium-sized enterprises to address financing challenges [2] Industry Developments - The first data asset pledge financing in the artificial intelligence sector in Zhejiang Province was provided to Lianxin Technology, amounting to 10 million yuan, showcasing the innovative financing solutions for light-asset technology companies [3][4] - Hengfeng Bank issued a 10 million yuan data asset financing to Jining Public Transport Group, marking the first million-level data asset pledge financing in Jining, utilizing key operational data for the pledge [4] Challenges in Data Asset Financing - Despite the increasing number of cases, data asset pledge financing remains in a "small-scale trial" phase, with a total financing scale of 1.39 billion yuan expected by the end of 2024, indicating limited participation from various industries [6] - The lack of a unified national framework for data asset rights recognition poses significant challenges, leading to increased financing costs and risk management difficulties for financial institutions [6][7] - The complexity of valuing data assets, which are non-physical and easily replicable, complicates the assessment process, as traditional valuation methods may not be applicable [7][8] Risk Management Strategies - Banks are advised to implement dynamic risk management strategies throughout the data asset pledge loan process, including pre-loan assessments, pledge registration, and post-loan monitoring to mitigate risks associated with data asset financing [8][9] - The establishment of industry standards for data asset valuation is seen as a foundational step to address the challenges in this emerging financing area, with initiatives underway to create guidelines and tools for accurate valuation [9]