In order to grasp the future trend of cultural consumption and promote the growth of cultural consumption, the gray Markov model combining GM (1,1) model and Markov model are used to predict the cultural consumption expenditure data of Beijing from 2008 to 2018, and the predicted value of cultural consumption of Beijing from 2019 to 2023 is obtained. The results show that the grey Markov model can effectively improve the poor performance of GM (1,1) model in forecasting volatility data, and improve the prediction accuracy of the model. Affected by the epidemic, cultural consumption in Beijing decreased by 35.6% in 2020, which will show a continuous growth trend from 2021 to 2023. Based on the forecast results, reasonable suggestions are put forward to promote the growth point of cultural consumption.