Core Insights - Guizhou Province has applied for 2,110 data intellectual property rights and registered 1,740, ranking 6th among 17 pilot regions in China by December 26, 2025 [1] - Guizhou successfully passed the national intellectual property bureau's acceptance for data intellectual property pilot in 2025 and was approved as one of the seven pilot provinces and cities in the industrial and information technology sector [1] Summary by Categories Data Intellectual Property Applications and Registrations - As of December 26, 2025, Guizhou Province has submitted 2,110 applications for data intellectual property rights and achieved 1,740 registrations [1] Financial Achievements and Innovations - In 2025, Guizhou established diversified value channels for data intellectual property, including credit financing, equity stakes, asset securitization, and market transactions [1] - The province recorded 407 million yuan in data intellectual property pledge loans and 3.064 million yuan in transaction licenses, leading to data assets valued at 47.0788 million yuan [1] Notable Cases and Developments - The first case in the meteorological field for data intellectual property equity stakes was valued at 529,400 yuan [1] - The first billion-level data intellectual property pledge loan in the transportation sector was successfully executed, with the "Bridge Performance Prediction Model" selected as one of the top ten typical cases for national data intellectual property registration [1] - A scenario titled "Data Precision Development Promotes All-Season Tourism" became the only one from Guizhou selected as a demonstration scenario by the National Data Bureau [1]

Core Insights - Guizhou Highway Group successfully secured a loan of 100 million yuan, marking the first billion-level data intellectual property pledge financing case in the national transportation industry [1] - The innovation lies in combining data with traditional pledges, allowing for more possibilities in pledge financing through the "liquid value" of data [1][2] - The "Bridge Performance Prediction Model" exemplifies how continuous data accumulation enhances predictive accuracy, thereby increasing market valuation and facilitating large-scale financing [1] Financing Model - The new financing model allows for dynamic valuation adjustments, enabling companies to break through traditional financing limits associated with tangible assets [2] - Unlike physical assets, data-based pledges do not depreciate over time; instead, they can increase in value through continuous data accumulation and algorithm optimization [2] Challenges - There are three core challenges to address for the "data + pledge financing" model: 1. Issues of boundary and ownership of pledge assets, as not all assets naturally possess data capabilities [2][3] 2. The risk of value fluctuation in data, which is highly dependent on data quality [2][3] 3. Some financial institutions lack the capability to process and utilize data, and a national data trading market is still underdeveloped [2][3] Future Directions - Future efforts should focus on three dimensions: 1. Expanding scenarios by establishing a unified national standard for data intellectual property ownership and promoting the digitization of traditional assets [3] 2. Risk prevention through a dynamic data quality monitoring system to ensure data integrity and accuracy [3] 3. Facilitating the establishment of specialized data asset management institutions and a national data trading market to create a reasonable pricing mechanism [3] Conclusion - The exploration of data-enabled traditional pledges represents an innovative breakthrough in asset value activation, but it also presents several challenges that require ongoing exploration and refinement of ownership, risk management, and monetization mechanisms [3]