This dataset comprehensively covers patent application and grant information in China's seven key digital technology domains: Artificial Intelligence (AI), High-End Chips, Quantum Information, Internet of Things (IoT), Blockchain, Industrial Internet, and Metaverse. Data are strictly subdivided to the primary technology branch level according to the Key Digital Technology Patent Classification System (2023). Core fields include patent basic information, transaction records, applicants, inventors, and IPC classification codes. Sourced from systematically organized public channels with annual updates, it aims to provide standardized, traceable data support for innovation monitoring and research in digital technologies.
Data Features:
- Based on the latest national classification standards, ensuring authoritative and cutting-edge technology coverage: The database strictly adheres to the Key Digital Technology Patent Classification System (2023) issued by relevant national authorities, covering 7 technology domains and 23 primary branches (e.g., semiconductor devices, machine learning, quantum computing). This classification aligns with digital economy development strategies, ensuring scientific rigor and policy relevance.
- Structurally rich fields enabling multidimensional analysis: Includes over 30 fields such as patent title, application number, publication number, applicant(s), inventor(s), IPC classification(s), legal status(法律状态), and citation count(引用次数), distinguishing patent types like invention applications, invention grants, and utility models. For example, the "Invention Grant Basic Information Table" details "published literature numbers from the same application" and "number of patent claims," facilitating technical, legal, and commercial analyses.
- Explicit mapping between technology branches and IPC for global comparative analysis: The classification system establishes a systematic correspondence with the International Patent Classification (IPC), covering 8 sections, 41 classes, 117 subclasses, and 705 subgroups. This feature enables domestic analysis and seamless global patent database integration to assess China's competitive position.
- Annual updates and longitudinal accumulation reflecting technological trends: With annual updates covering multi-year records, users can analyze long-term trends like technology life cycles and regional innovation vitality, providing a temporal foundation for forecasting technological trajectories.
Data Application Value:
- Supporting academic research and policy analysis to reveal technology evolution paths: Scholars can conduct patentometrics and technology trajectory studies—e.g., quantifying innovation intensity across domains using "IPC classification(s)" and "primary technology branch" mappings. Policy analysts can evaluate industry policy impacts by examining applicant-level patent portfolios.
- Enabling enterprise competitive intelligence and R&D decisions: Companies can monitor competitors' patent activities via "applicant(s)" and "legal status(法律状态)", identifying technology gaps or infringement risks. Metrics like "citation count(引用次数)" help assess core patent value, guiding R&D toward high-potential fields (e.g., quantum computing processors, 5G baseband chips).
- Facilitating investment and consulting services to identify high-growth sectors: Investors can gauge innovation vitality in emerging fields (e.g., immersive computing in metaverse, smart contracts in blockchain) through patent grant volumes per technology branch. Consultancies can generate competitive landscape reports using geographic and applicant distributions.
- Promoting cross-domain collaboration and talent development: Universities and research institutions can explore collaboration networks via "inventor(s)" and "address(地址)" fields. Enterprises can design training programs using "primary technology branch names" to cultivate interdisciplinary talent for digital economy demands.
CnOpenData’s Key Digital Technology Patent Applications and Grants Data systematically integrates patent data from China’s critical digital technology sectors. Combining authoritative classification standards with granular field details, it serves as an ideal tool for academia, industry, and policy institutions to understand digital innovation ecosystems and track technological frontiers. Through annual updates and multidimensional coverage, this dataset provides a robust foundation for digital economy development.
Time Coverage
- Invention applications: Statistics based on application publication date (1985–2024)
- Invention grants/Utility models: Statistics based on grant publication date (1985–2024)
Data Description
Key Digital Technology Patent Classification System Table
字段展示
Sample Data
Due to the extensive number of tables, this page displays only key invention grant patent tables. For full tables, please inquire.
中国关键数字技术发明授权专利基本信息表
中国关键数字技术发明授权专利基本事务表
Data Update Frequency
Annual updates