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CNIPA- The Added Value of Patent-Intensive Industries Nationwide in 2024 was 18,038.1 Billion RMB, Accounting for 13.38% of GDP
Wednesday, December 31, 2025

On December 31, 2025, China’s National Intellectual Property Administration (CNIPA) and the National Bureau of Statistics (NBS) released the Announcement No. 661 of the CNIPA and the NBS on the Added Value of Patent-Intensive Industries Nationwide in 2024 (国家知识产权局 国家统计局关于2024年全国专利密集型产业增加值数据的公告(第661号)) indicating the added value of patent-intensive industries in China in 2024 was 18,038.1 billion RMB, accounting for 13.38% of GDP, an increase of 0.34 percentage points over the previous year.

A translation follows. The original text is available here (Chinese only).

According to calculations, the added value of patent-intensive industries in China reached 18,038.1 billion RMB in 2024, accounting for 13.38% of GDP, an increase of 0.34 percentage points over the previous year.

In terms of internal composition, the new equipment manufacturing industry is the largest, with an added value of 5,137.7 billion RMB, accounting for 28.5% of the added value of patent-intensive industries; followed by the information and communication technology service industry, with an added value of 4,370.9 billion RMB, accounting for 24.2%; and then the information and communication technology manufacturing industry, with an added value of 3,588.5 billion RMB, accounting for 19.9%.

CNIPA, NBS

December 31, 2025

Value added of patent-intensive industries nationwide in 2024
Category Name Value added (100 million RMB) constitute(%)
Patent-intensive industries 180381 100.0
Information and communication technology manufacturing industry 35885 19.9
New equipment manufacturing industry 51377 28.5
New materials manufacturing 16476 9.1
Pharmaceutical and medical industry 14068 7.8
Environmental protection industry 3995 2.2
Information and communication technology services industry 43709 24.2
Research and development, design and technical services 14872 8.2
Note: If the sum of the individual items does not equal the total, it is due to rounding errors and no mechanical adjustment has been made.

Note:

1. Indicator Explanation

Patent-intensive industries refer to a group of industries that meet the prescribed standards for the density and scale of invention patents, rely on intellectual property rights to participate in market competition, and conform to the orientation of innovation-driven development.

The added value of patent-intensive industries refers to the added value created by the production activities of all resident units in China’s patent-intensive industries within a certain period.

A resident unit refers to an economic unit that has a center of economic interest within the economic territory of China.

Production refers to the activities of creating new goods and services by utilizing factors such as labor and capital under the responsibility, control, and management of an institutional unit.

2. Accounting Classification

The classification of patent-intensive industries is based on the “Statistical Classification of Intellectual Property (Patent) Intensive Industries (2019)” and adopts a two-level classification. The first-level classification is divided into seven major categories according to the nature of economic activities: information and communication technology manufacturing, information and communication technology services, new equipment manufacturing, new materials manufacturing, pharmaceutical and medical industries, environmental protection industries, and R&D, design, and technical services. The second-level classification is further refined into 188 subcategories of national economic industries based on the first-level classification.

3. Accounting methods and data sources

The added value of patent-intensive industries is calculated using the income approach. The basic data required for this calculation mainly comes from national economic census data, relevant professional statistical data from the National Bureau of Statistics, and national economic accounting data.

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