Objective: This research was conducted with the aim of identifying emerging sciences and technologies in the field of war games.

Methodology: The implementation method of this research is descriptive. The type of it, is applied with a qualitative approach. The statistical population for the interview in this research was 15 experts familiar with the research subject, who were selected purposefully. The research data was collected using document study tool, then with the help of Atlas.ti software content analysis was done and based on that, emerging sciences and technologies were scanned. In the next step, using the Delphi method in three stages, emerging sciences and technologies were observed by experts, next after analysis and judgment, emerging sciences and technologies in the field of war games were counted.

Findings: In this research, by reviewing the research literature, 83 emerging science and technologies were counted. The number of 50 emerging science and technologies related to the war game was scanned and monitored. The emerging sciences and technologies related to the war game were divided into three categories: players, scenarios and decision making support system.

Conclusion: The general trend of changes in science and emerging technologies in the field of war games is towards paying more attention to the field of science and software technologies to help analyze data and make optimal decisions. The results show that neural networks for analysis, machine learning for analysis and deep learning are the most important emerging sciences and technologies in the field of war games.