Abstract: To explore the characteristics and differences of key general purpose technologies (GPTs) cooperation networks in different industries, cooperation networks are constructed based on the cooperation patent data of key GPTs of five industries in China. The social network analysis method is used to compare and analyze the characteristics of network structures evolution, the space characteristics of R&D entities, and the characteristics of industry-university-research cooperation of the key GPTs cooperation networks in five industries from 2000 to 2018. Furthermore, the development laws of key GPTs cooperation networks in different industries are summarized followed by some beneficial inspirations. The present research results show that the key GPTs cooperation networks of five industries have dynamic evolution characteristics, and there are commonalities and differences in network structure during evolution. In the key GPTs cooperation networks of five industries, the spatial distribution of R&D entities shows different degree of clustering. The influence of different regions in different industries area cooperation is difference. Moreover, the enterprise-enterprise cooperation is the main cooperation pattern in the key GPTs cooperation networks of five industries. The degree of industry-university-research cooperation in various industries can be improved. The conclusions are of significance for formulating differentiated policies and developing distinctive cooperation models for key GPTs in different industries.