Abstract: Under the background of the accelerating evolution of the once-in-a-century changes, the increasingly frequent adversity events and the unpredictable business environment have posed great challenges and threats to the digital innovation practice of enterprises. In order to effectively resist the uncertainty and disruptive impact from the outside world, many enterprises have shaped the ability to flexibly cope with decline crises in the process of digital innovation and recover, develop and evolve rapidly from the risk of failure. This paper proposes the concept of digital innovation resilience to represent this phenomenon. On this basis, clarifying the specific connotation of digital innovation resilience, and clarifying the measurement method and evolution model of digital innovation resilience are the internal requirements for building a self-reliant digital innovation system and realizing the goal of Chinese-style modernization. Firstly, the paper starts with organizational resilience, and on the basis of revealing the connotation of innovation resilience, it extends the concept of digital innovation resilience and points out the basic characteristics of it. Secondly, the time series data of digital technology patent application is used to replace the immediate response of digital innovation to external shocks, and the core variable method is used to measure enterprises’ digital innovation resilience. Finally, statistical indicators were extracted and dimensionality was reduced for the time series data of enterprise digital innovation resilience by using time series feature engineering. In combination with K-means clustering algorithm, enterprises with similar evolutionary trends of digital innovation resilience during the sample period were divided into groups, so as to identify four evolution modes: random oscillating type, weak growth type, late catch-up type and core leading type. The above research can not only provide a scientific basis for correctly evaluating the level of enterprises' digital innovation resilience, but also provide useful inspiration for the academic community to explore the differentiated improvement path of enterprises' digital innovation resilience based on different types of evolution models.