“十五五”数据资源开发利用系列解读五 多向发力 推动付费数据市场建设

Core Insights - The article emphasizes the importance of establishing a robust data market in China, advocating for a market-oriented approach to data resource development and utilization, which is crucial for unlocking data value and fostering a culture of paying for high-quality data [1] Group 1: Current State of High-Quality Data Payment Market - The high-quality data payment market is facing structural contradictions that hinder its development, including issues on both the supply and demand sides, as well as the lack of a core function in the public trading market [2] - On the supply side, traditional data companies often rely on automated browsing techniques to gather public data, leading to skepticism about the actual costs incurred in product development [2] - On the demand side, many small and medium-sized enterprises struggle to participate effectively in the data market due to high technical barriers and limited application capabilities [2] Group 2: Structural Challenges in Data Trading - The absence of key functions in the public trading market, particularly data exchanges, is a significant structural issue, with a low proportion of tradable data products and insufficient supply [3] - Information asymmetry in the market leads to stronger bargaining power for a few buyers, creating distrust between supply and demand sides [3] - Standardized data trading is often embedded in information projects, which restricts the formation of a payment mechanism and awareness for data [3] Group 3: Positive Trends in High-Quality Data Payment Market - Despite existing structural challenges, the data payment market is showing positive development trends due to national efforts in top-level design, institutional supply, technological evolution, and business model innovation [4] - Companies are increasingly recognizing the value of AI technology, leading to more deployments of AI models and intelligent design [4] - The success of models like DeepSeek is lowering the barriers and costs for companies to adopt AI technology, promoting a "technology equality" era [4] Group 4: Institutional and Commercial Developments - The National Data Bureau has issued several top-level planning documents to accelerate the development of high-quality data resources and foster a culture of paying for such data [6] - Local data groups and exchanges are exploring commercial models for data circulation, enhancing the supply of high-quality data and encouraging enterprises to pay for it [6] - Data exchanges are providing professional services that reduce costs for individual companies, thereby increasing trust in data transactions [6] Group 5: Directions for Building a High-Quality Data Payment Mechanism - Strengthening the supply of high-quality data and accelerating the construction of data markets centered around data exchanges are key focus areas for developing the high-quality data payment market [7] - The role of data exchanges as central hubs is crucial for facilitating the flow of high-quality data across the nation, enhancing the capabilities of society to utilize data [8] - Establishing a favorable data market environment through mechanisms for price discovery, property registration, and security will help reduce costs and improve trust in the data market [9]