Tourism is a comprehensive service industry that mainly provides services, and has now become one of the major industries in the global economy. In recent years, due to economic growth, more and more people go out to travel. my country's tourism industry has maintained a high speed of development, which has significantly stimulated the growth of China's economy. In this paper, through the relevant data of domestic tourism from 2004 to 2019, the tourism consumption is analyzed, and the eviews software is used to analyze the correlation diagram and the trend diagram, and the relevant economic model is established, and the multi‐collinearity test and correction are carried out to eliminate the relationship between the explanatory variables. Influence each other, test and correct autocorrelation and heteroscedasticity, eliminate the influencing factors of random variables, and finally obtain the optimal model. Analyze the influencing factors that affect domestic tourism spending, and quantitatively analyze the data relationship between them, and then put forward suggestions for the development of my country's tourism industry.