Abstract:The intelligent connected vehicle (ICV) industry, which is entering a period of rapid development, represents the future development direction of the automobile industry and the strategic commanding heights of the automobile travel technology cluster. As ICV industry includes multiple fields and involves many other technologies besides automotive technologies, it is in urgent need of a large number of talents. However, due to complexity and uncertainty of ICV industry and the lack of clear boundaries and historical data of relevant talents, it is of extreme difficulty to predict the demand for ICV talents. In order to predict it accurately, both qualitative and quantitative research methods were used to determine the talent structure. Based on the technologies of ICV, the structure of ICV talents was built up, including leading talents, research and development talents, manufacturing talents, sales service talents and other talents. Research and development talents, which is divided into vehicle architecture engineers, system/module architecture engineers, software development engineers, hardware development engineers, data and algorithm engineers as well as test and calibration engineers, were chosen to be the quantitative prediction objects. A hierarchical model with 3 first-grade indexes and 14 second-grade indexes was established to quantitatively predict the talent demand of ICV industry. Besides, a scenario analysis assuming that ICV industry would develop in optimistic, normal or pessimistic scenario was carried out on the development level of ICV industry to give a prediction on the talent demand of ICV industry in the next five years. And the differences of each type of research and development talents of ICV industry and talent demand of different business sectors were analyzed.