To address the large data processing problem on the vehicle networking platform in which the data throughput is small, and its poor real-time feature, this paper proposes a new real-time analysis system based on the big data stream processing technology. The proposed system consists of 5 layers including data acquisition, data forwarding, real-time data analysis, data cache and storage, and visual display. Specifically, it introduces Storm real-time computing system to real-time data processing, which is beneficial to the high concurrent access and can meet real-time requirements of the system. Furthermore, aiming at the problem that the access to the database is expensive, Redis cache strategy is used to improve the query efficiency. Experiments show that the system has low latency, high throughput, and scalability compared with the conventional multithreaded processing platform, which is able to satisfy the requirements of vehicle network data stream processing.