Using finite element ordinary differential mathematical equations to analyze the relationship between the number of inbound tourists in my country's tourism industry, the number of domestic tourists, and the total tourism income, time and per capita national income. Significant positive correlation. When the per capita national income increases by 1 U.S. dollar, the number of inbound tourists will increase by 102.18 million, the number of domestic tourists will increase by 715.95 million, and the total tourism revenue will increase by 693.8 million yuan. It is predicted that by 2022, the number of inbound tourists will be close to 1 billion. The number of domestic tourists has exceeded 1.2 billion, and the total tourism revenue will exceed 2 trillion yuan, with an average annual growth rate of 9.10%, 6.51% and 11.16% respectively. This paper uese the novel data mining models to construct the efficient analytic model for the prediction analysis. The experimental results have proven efficiency.