Abstract
Today’s rapid development of computer information technology has driven the progress of its related technologies and industries. In order to develop the sports industry more conveniently, make it more intelligent and better serve mankind, people have gradually increased their attention to the development of the sports industry. The report of the Nineteenth National Congress of the Communist Party of China pointed out that in the future, the strategy of “Healthy China” will be implemented. As an important part of the consumption of “Healthy China” and modern life, the sports industry will benefit from many aspects such as national policies, market demand and industrial restructuring. However, with the rapid economic and social development and the overall progress of people’s lives, the demands in all aspects are constantly improving. The purpose of this article is to study the system that supports the development of the information technology sports industry based on big data. This paper discusses the concept, structure, function, elements and characteristics of the development system of our country’s sports industry based on the theory of system science. Based on the theory of system science, this article discusses the concept, structure, function, elements and characteristics of the development system of my country’s sports industry. Analyzed the development status of my country’s sports industry; systematically analyzed the advantages and disadvantages of information technology to support the development of the sports industry, and on this basis, proposed the strategic choice of information technology to support the development of the sports industry in the current environment. This paper conducts experimental research through questionnaire surveys, analyzes the composition of the sports market, the characteristics of sports consumption, influencing factors and sports property rights, and summarizes the development models, characteristics and enlightenments of the foreign sports industry. The experimental research results show that the data collection function of the sports industry development system C accounted for the highest proportion and the correctness test was the most accurate, 41.43% and 37.12%, respectively. The index feasibility function was System A, accounting for 38.07%. Both A and System C are around 35%, and System B is the lowest, only 29.65%. All in all, System C is a good reference system with outstanding functions in all aspects.