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Forecasts of Video Game Sales based on the ARIMA Model
- 1 College of art, Tianjin University of Finance and Economics, Tianjin, 300000, China
* Author to whom correspondence should be addressed.
Abstract
With the rapid development of the digital age, video games have become an important component of the cultural industry, and their sales forecasting has become a focus of industry attention. This article aims to predict the sales of video games based on the ARIMA model and explore effective methods to improve prediction accuracy. Through in-depth research, this article found that the ARIMA model performs well in capturing the time series characteristics of sales data and can accurately predict future sales trends. The ARIMA model provides a systematic and scientific method for predicting the future market performance of video games by comprehensively considering the trends, seasonality, and random changes in historical sales data. This research achievement not only provides strong decision support for game developers, publishers, and platform operators but also promotes the optimization of resource allocation and market risk avoidance in the video games industry, which is of great significance for promoting the healthy and sustainable development of the industry.
Keywords
Video game, ARIMA model, Time series.
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Cite this article
Yang,S. (2024). Forecasts of Video Game Sales based on the ARIMA Model. Applied and Computational Engineering,104,171-175.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation
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