Analysis and Prediction of Tourism Consumption Behavior Based on Big Data

The development of the economy promotes the unprecedented prosperity of the tourism industry. This paper analyzes the application of big data on the current online travel platform, and discusses how to use data to guide market decisions. On this basis, this paper attempts to adopt a more scientific theoretical system of big data marketing, and use it to guide the marketing and communication strategies of the online tourism industry. Therefore, the mode of big data guiding enterprise tourism consumption behavior in the Internet environment is discussed from point to surface. In 2018, China's online travel transaction volume was 150 billion yuan, and the penetration rate of Internet travel was 10%. Under the development trend of “big data + tourism”, this paper can provide certain theoretical and practical guidance for China's tourism marketing activities. At the same time, it can also allow people to use tourism big data to achieve precise marketing under the background of big data, thereby improving the quality of tourism services and tourism management capabilities.