Strategic Analysis and Roadmap for the Integration of Artificial Intelligence in the Space Industry: Strengthening Domain Synergy in Future Strategic Competitions

Authors

  • Morteza Khademi Kouhi,Hossein Dashtbani

Keywords:

Artificial intelligence, aerospace industry, digital twin, predictive maintenance, space exploration, autonomous systems, generative design, explainable artificial intelligence, quantum computing

Abstract

The aerospace industry is facing increasing challenges in terms of safety, efficiency, andsustainability in complex operational environments. Artificial intelligence (AI) as a transformativetechnology plays a key role in optimizing design, manufacturing, maintenance, logistics, and spaceexploration processes. This study provides a comprehensive and multidisciplinary framework toexplore the applications

References

Adetunla, A., Akinlabi, E.T., Jen, T.C., & Ajibade, S.M. (2024). Harnessing the Power of Artificial Intelligence in Materials Science: An Overview. 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 1-6.

Ahmed, R., Shaheen, S., Philbin, S.P.)2022(. The role of big data analytics and decision-making in achieving project success. J. Eng. Technol. Manag. 65, 101697 https://doi.org/10.1016/j.jengtecman.2022.101697.

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Published

2025-10-23

How to Cite

Morteza Khademi Kouhi,Hossein Dashtbani. (2025). Strategic Analysis and Roadmap for the Integration of Artificial Intelligence in the Space Industry: Strengthening Domain Synergy in Future Strategic Competitions . Journal of Computational Analysis and Applications (JoCAAA), 34(10), 32–57. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3878

Issue

Vol. 34 No. 10 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.