Abstract: Aiming at the forecasting demands for different dimensions of market output value during the development of Beidou market, an output value forecasting model for Beidou market is constructed from three different dimensions, including overall output value, industry chain, and market value of listed companies. This paper studies and compares the output value prediction methods and accuracy of different forecasting models from the perspective of the overall market output forecasting demand, and obtains model selection references under different conditions. Then, based on the output value data of the industrial chain, different economic forecasting models are used to make statistical prediction of a single industrial chain or the overall output value. Finally, we track and forecast the market output value of specific listed companies and the overall Beidou market in different dimensions and levels. Finally, the accuracy and feasibility of different models and methods are analyzed through experimental verification, and the applicable methods are investigated under different data bases and forecast demands. Data and decision support are provided for Beidou market output value forecast in different dimensions.

Key words: Beidou satellite navigation industry, grey system theory, Logistic equation, auto regressive integrated moving average (ARIMA) model