In order to better meet the intelligent needs of users for new energy vehicles, a sampling survey method is adopted to cover user samples from three different segmented markets: high, medium, and low. Based on user demand data for product intelligent functions, corresponding analysis is used to explore the feedback and preferences of users in different segmented markets for the use of product intelligent functions. The results indicate that there are significant differences in the demand for intelligent functions among users in different segmented markets, showing that as the market level increases, consumers’ dependence and frequency of use of in car intelligent functions also increase. In addition, the automotive market has shown a gradual progression from meeting basic material needs, enhancing emotional connections, to achieving personal spiritual pursuits from low-end to high-end. Based on the results of this research, direction can be provided for optimizing and improving product intelligence related functions. At the same time, intelligent function development and design can be carried out according to user needs and preferences, further enhancing the user’s driving experience.