Abstract: Industrial water efficiency is a direct factor affecting industrial water use. It is the key to improve the efficiency of industrial water use in China by analyzing its influencing factors and finding out the spatial distribution rules. This paper selects the Super-SBM model, introduces the non-expected output index to measure the industrial water use efficiency of China’s 31 provinces from 2007 to 2016. And this paper comprehensively analyzes the spatial dynamic evolution of the factors affecting industrial water use efficiency from various aspects, in order to provide a basis for formulating differentiated regional intensive water resource management policies.The results show that: (1) Industrial water in most provinces of China is in an inefficient state, while the high-efficiency center is transferred from east to west; (2) Different influencing factors have different influence on industrial water efficiency. The increase in total water resources, regional GDP, proportion of industrial water use, and R&D investment ratio will have a negative impact on industrial water use efficiency, and industrial water use efficiency will decrease. The regional resident population, urbanization rate, and per capita education expenditure will have a positive impact on industrial water efficiency and promotes it. (3) There are spatial differences between different influencing factors which affect the degree of China’s industrial water use efficiency. The effects of urbanization rate, R&D investment ratio and per capita education expenditure on industrial water use efficiency are relatively concentrated in space. The high-value areas are mainly located in the central and western regions, while the low-value areas are mainly in the eastern coastal regions. The total water resources, the regional GDP, the proportion of industrial water use and the regional resident population show a state of evolution in space. With the time development, the central shift occurs in the high-value and low-value areas.