全部树

China university patent statisticsNEW

China high-tech enterprise patent statisticsNEW

Digital economy patent application and authorization dataNEW

Patents and citation data of Little Giant and individual champion companiesNEW

Small giant and single champion enterprise design patent details table

Statistics on the entry and exit of Chinese industrial and commercial enterprisesNEW

Statistics on entry and exit information of Chinese partnershipsNEW

Basic information data of manufacturing industrial and commercial registered enterprisesNEW

Patent and citation data of A-share listed companiesNEW

Patent details of A-share listed companies
A-share listed companies' patent application details table
Details of Design Patents Authorized by A-share Listed Companies

Green patents and citation data of A-share listed companies

A-share listed companies green patent details table

Patent and citation data of Chinese industrial enterprisesNEW

Green patents and citation data of Chinese industrial enterprisesNEW

Details of Green Patents of Chinese Industrial Enterprises

Tax investigation of corporate patents and citation dataNEW

Cost of living data for global residentsNEW

China foreign trade index data

   With the development of economy and society, the importance of intellectual property has gradually increased. The quantity and quality of intellectual property have progressively become significant indicators of enterprises' R&D capabilities.

   To implement the requirements of The "13th Five-Year Plan" National Intellectual Property Protection and Utilization Plan regarding "strengthening the evaluation of correlations between patent activities and economic benefits," promote innovation-driven development evaluation integrating patents with industrial growth, and achieve patent-industry alignment, the National Intellectual Property Administration established The Reference Relationship Table Between International Patent Classification and National Economic Industry Classification (2018).

   Based on this reference table, CnOpenData has conducted annual statistical analyses of patent data across four hierarchical levels: industry sector(行业门类), industry major category(行业大类), industry medium category(行业中类), and industry subclass(行业小类). This dataset holds significant reference value for both internal and external analyses of intellectual property, particularly patents, across various industries.


Time Coverage

1985-2024


Field Display


Sample Data

Chinese Patents Statistics by Industry Sector

Chinese Patents Statistics by Industry Major Category

Chinese Patents Statistics by Industry Medium Category

Chinese Patents Statistics by Industry Subclass


Data Update Frequency

Annual Update