In this paper,in view of the characteristics of seasonal and cyclical characteristics of Changsha dry-cleaning market.Based on?the time series analysis method and the Eviews statistical software,the ARMA model was used to analyze and forecast the output data of the Changsha city largest dry-cleaning company in January 2014 to December 2016.The research shows that the relative error between the predicted value and the actual value in January 2017 to March is very small, about 1% 。It shows that the ARMA model can fit the output of the dry-cleaning industry in Changsha, and proves the feasibility of the forecast.For the Changsha dry-cleaning industry and enterprises,through the existing output-value to predict future market output potential to provide the direction of guidance,The dry cleaning industry market development has a certain basis for decision-making.