Core Insights - The data trading market in China is experiencing a significant increase in the number of data products launched, with a total of 477 products introduced in August, up by 162 from July [2] - Despite the increase in product offerings, key performance indicators have shown a decline, indicating structural issues within the market [2][5] - The "application potential" score has dropped sharply by 25.25% from July, reaching its lowest point in six months, highlighting a decrease in market interest and engagement [2][5] Market Performance - In August, the four core indicators of the data trading market saw varying degrees of decline, with "application potential" experiencing the most significant drop [2] - The "element density" score decreased from 4.25 to 4.04, while the "stability coefficient" slightly fell to 2.08 [2] - "Transparency" remains the weakest area, scoring only 1.50, which has been a long-term constraint on market development [2][4] Product Insights - The majority of high-scoring data products are concentrated in data sets and data interfaces, with 328 products in these categories, accounting for over 60% of the total [3] - "Data participation" scores remain high across institutions, while "data integration" scores have shown fluctuations, particularly declining in several exchanges [3] Governance and Compliance - The "stability coefficient" scores vary significantly among institutions, with Beijing and Shanghai leading in compliance [4] - The Zhengzhou Data Trading Center has the highest score in "data grading" but shows weaknesses in "data sources" and "usage constraints," indicating potential governance issues [4] - Overall, the market lacks effective regulations on key aspects such as data product limitations and cross-border circulation, necessitating a comprehensive data supervision framework [4] Application Potential - The decline in the "application potential" score is primarily driven by a significant drop in the "attention" metric, with several institutions reporting a halving of their scores [5] - The overall "reusability" scores have also decreased, reflecting insufficient motivation for optimizing data products [5] - The "update frequency" scores have remained stagnant for most institutions, indicating a lack of innovation and responsiveness in the data trading market [5]