Abstract: 【Purpose/significance】In the age of the digital economy, data has become a new generation of intelligence capital. Mean⁃ while, covid-19, the Sino-US trade war and other events have increased uncertainty of the business environment, placing a higher de⁃ mand on companies to use big data to sensitively perceive changes in the external environment with the help of big data in order to re⁃ alize risk early warning and opportunity identification. Therefore, it is of great significance to explore the formation of enterprise com⁃ petitive intelligence perception capability in the big data environment.【Method/process】Firstly, we redefine the concept of competi⁃ tive intelligence perception capacity in the big data environment. Secondly, guided by the system theory and competitive intelligence value chain theory, combined with the characteristics of competitive intelligence in the context of big data, we construct a new hierar⁃ chical structure model of competitive intelligence perception capacity, and explains the factors and their relations in depth. Finally, a case study of Huawei is conducted to analyze the components and formation characteristics of the competitive intelligence perception capability driven by big data, so as to verify the validity of the model.【Result/conclusion】The results show that the competitive intelli⁃ gence perception capacity of enterprises is composed of three levels of competence, and its formation is a dynamic process of stages, following the path of“Big data leads competitive intelligence resource optimization-big data drives competitive intelligence process reengineering-big data promotes competitive intelligence function reconstruction”.【Innovation/limitation】This research enriches the theoretical system of enterprise competitive intelligence perception capability in big data environment, providing theoretical and practi⁃ cal guidance for enterprises to cultivate competitive intelligence perception capability in the big data environment. In the future, the re⁃ search object can be expanded to multiple cases, and further quantitative research can be carried out to improve the representativeness and scientificity of the research.