The initial development of the takeout industry was in the form of packaging. Later, with the popularity of telephones and mobile phones, people began to order by telephone to meet the needs of some customers who didn’t want or didn’t have time to go to restaurants. Since the 1990s, the Internet began to popularize, which made the takeout industry develop unprecedentedly. Now, after several years of rapid development, the takeout industry has already developed a mature industrial chain. Although it is a labor-intensive industry, the current takeout industry has joined Big Data, cloud computing, Internet of things and other technologies. Especially in recent years, with the introduction of Big Data, major takeout companies have developed their own Big Data analysis system to continuously improve and optimize the takeout system through the introduction and analysis of a large amount of data. This paper aims to study the boosting effect of Big Data on the takeout industry, especially how to analyze and optimize the takeout time, takeout path and so on through Big Data analysis in China’s takeout market.