Abstract: Purpose/Significance Digital trade is the new engine, new dynamic energy and new track for the innovative development of international trade. In-depth study of the dynamics and mechanism of the endogenous growth of digital trade is necessary to master the development trend of digital trade. Design/Methodology Using the induction and deduction research method and based on endogenous growth theory, the paper constructs a “technology-data-platform” framework for analyzing the endogenous growth of digital trade to explain the differences in the endogenous growth of digital trade among countries. Conclusions/Findings The digital technology diffusion effect, data factor multiplication effect and digital platform network effect can better explain the main factors affecting the growth of digital trade and their interactions. The development of global digital trade is divided into three stages: e-commerce stage, digital stage and intelligent stage, showing trends such as diversification of targets, integration of business models and integration of supply chains. However, there are also negative directions such as widening of technology gaps and the setting of exception conditions for localization of data storage localization of data storage varies widely, which require co-business to build a global digital trade digital governance system. Improving the policy system to accelerate the development of digital trade, reconstructing the traditional trade industry chain, promoting the development and application of digital technology, and releasing the potential of data elements are the first moves for China to grasp the initiative of endogenous development of digital trade.