As an innovative kind of tourism, space tourism has gone quite a distance. Space tourism was once viewed as science fiction, but it becomes less outlandish and more likely to grow into reality because of the raise of human civilization through technology advance. The establishment of area tourism can be the following logical step for humanity. This study investigates the call for the visitor marketplace, analyses the demand generation and trade process, proposes the concept of "time collection," and integrates time collection into a model of the call for tourism. The principal objective is to create a ‘time series’ based total version of the call for China space tourism in the Macao market. This study aims to enable space packages to plan and anticipate future space travel by giving a green method for analyzing future space travel based on a time-collecting analysis of expected demand for future space tours. The method combines predictive evaluation with decision-making that applies to the state of affairs. The following five elements include the newly constructed framework for predictive a call for the time series analysis: (1) Modeling of future space call for; (2) Building a fixed of Arima fashions primarily based on future space demand; (3) Model validation through version parameter estimation; (4) Simulation research utilizing the fashions to evaluate and interpret the effects; and (5) Summary and evaluation of the outcomes. The technique contributes to a higher knowledge of the call for space area tours and predictability. It also offers help to governments in making plans and decision-making tactics for area flight.