Abstract: In the past century, the development of tropical cyclone (TC) forecasting technology in China has experienced several main stages, from cloud identification, weather chart analysis, to statistical forecasting, statistics–dynamic forecasting, numerical forecasting, and their integrated application. As a result, the capability in forecasting TCs in China has significantly improved in both accuracy and stability, with noticeable stepwise features corresponding to the developments in forecasting technology. Looking ahead, forecasting of TCs has entered a new phase to break through the bottlenecks of fine structure and long lead time forecasting. Advancing the TC physics understanding is converging with improved AI capabilities, catalyzing a foreseen leap in TC forecasting technology.