Abstract: Purpose/Significance Scientific evaluation of enterprise’s innovation capabilities of intelligent manufacturing can help enterprises to clarify their potential and shortcomings in intelligent manufacturing innovation activities, so as to overcome their weaknesses by acquiring others’ strong points, and improve the effect of intelligent manufacturing technology innovation in an all-round way. Design/Methodology This paper designs the evaluation index system of enterprise intelligent manufacturing innovation capability from five dimensions: intelligent manufacturing innovation input, intelligent R&D of products, the improvement of intelligent production operation, the innovation of intelligent equipment application and the innovation output of intelligent manufacturing. Then, an improved grey clustering evaluation model based on the entropy value method is introduced to systematically evaluate the intelligent manufacturing innovation capabilities of five electronic intelligent manufacturing pilot demonstration enterprises in Fujian province. Conclusions/Findings The results of the system evaluation show that the intensity of R&D investment, the importance of talent team construction and the agility of operation and management are the common constraints the improvement of enterprise’s innovation capabilities of intelligent manufacturing in China. It is an important measure to enhance enterprise’s innovation capabilities of intelligent manufacturing in China to construct intelligent manufacturing talent team, broaden the financial support for enterprise’s intelligent manufacturing innovation through multiple channels, and continuously strengthen the process control and rapid response of enterprise intelligent manufacturing.