Driven by the new round of scientific and technological revolution, with the peak of mobile Internet traffic dividend and the development of artificial intelligence, high-precision maps and 5G technology, cars have gradually replaced smart phones and become an important carrier of new technology applications in the era of mobile Internet. At the same time, under the development environment of the integration of technology, automobile, communication and other industries, all kinds of technology and internet entrepreneurs began to compete in various fields across borders, and intelligent networking has increasingly become a battleground in the information-based automobile era.

● Big data will accelerate the development of intelligent network.

In fact, it is only a short history of five or six years for intelligent networking to enter the homes of ordinary people. New things have their advantages, and naturally there will be immature places. The reason is largely due to the information explosion caused by the Internet of Everything era, and the process of data from calculation, processing and prediction brought by a large number of sensors has not attracted enough attention from car companies. On the other hand, the current intelligent networked car is still in the stage of a hundred schools of thought contending, and different car companies and technology companies are also building ideal intelligent networked cars according to their own imagination.

Therefore, when faced with the rapid development of automobile technology and the increasing pressure of traditional business costs, automobile enterprises urgently need to make breakthroughs in the research and development of new technologies of intelligent networking and find new profit points. Therefore, through the combination of automobile consumption big data and travel big data, the huge industrial value and development potential behind the development of automobile intelligent networking field are fully presented to cope with the increasingly fierce industry competition.

In addition, from the user's point of view, by analyzing consumer consumption data and travel data, we can not only intuitively understand consumers' needs and expectations for intelligent networking. At the same time, through in-depth understanding of user needs, we can start to develop products that are more in line with market needs as soon as possible and test new business models that are closer to user needs.