With the rise of the sports tourism industry, the group of sports tourism consumers is also growing. The study of the behavior of sports tourism consumers has therefore become a popular topic. This paper firstly organizes and analyzes the research results of scholars, finds out the deficiencies, and finds out the methods suitable for this research. On this basis, this research is practiced, and the methods found are successfully improved to add personal innovation points. Then, the definition and characteristics of cloud computing and mobile big data are elaborated. Next, this paper selects some consumers and their consumption behaviors participating in X city’s sports tourism town, golf sports tourism, skiing sports tourism, and outdoor sports tourism projects as the research objects and conducts investigation and research by means of questionnaires and interviews. At the same time, the managers and operators of some sports tourism scenic spots are selected as the research objects, and the investigation and research are carried out through the interview method, which provides a realistic basis for the study of consumer behavior. According to the survey, the proportion of sports tourism consumers who choose to travel in summer is as high as 90.10%.
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