Artificial Intelligence (AI) in Military Training Market Report 2026

The artificial intelligence (AI) in military training market size has grown strongly in recent years. It will grow from $1.46 billion in 2025 to $1.57 billion in 2026 at a compound annual growth rate (CAGR) of 8%. The growth in the historic period can be attributed to use of simulation-based training programs, adoption of ai for adaptive learning, integration of autonomous drones in exercises, deployment of intelligent performance assessment tools, implementation of cyber threat training.

The artificial intelligence (AI) in military training market size is expected to see strong growth in the next few years. It will grow to $2.17 billion in 2030 at a compound annual growth rate (CAGR) of 8.3%. The growth in the forecast period can be attributed to development of immersive ar/vr training solutions, expansion of predictive mission planning systems, integration with real-time battlefield data, growth in autonomous vehicle training platforms, adoption of cloud-based collaborative training environments. Major trends in the forecast period include increase in ai-driven adaptive training models, growth in autonomous simulation environments, expansion of real-time mission scenario modeling, rising use of intelligent performance scoring systems, integration of smart behavioral and tactical assessment tools.

The increasing demand for realistic and adaptive training solutions is expected to drive the growth of artificial intelligence in the military training market going forward. Realistic and adaptive training solutions refer to training programs or systems that closely replicate real-world scenarios and automatically adjust to the learner’s progress or requirements. The demand for realistic and adaptive training solutions is rising due to the growing need for personalized, technology-driven learning experiences that enhance effectiveness, efficiency, and readiness in rapidly evolving environments. Artificial intelligence in military training supports realistic and adaptive training solutions by simulating complex battlefield environments, analyzing trainee performance in real time, and dynamically adjusting scenarios to match individual skill levels, ensuring both authenticity and personalized skill development. For instance, in August 2025, according to the Ministry of Defense, a United Kingdom-based government department, between 1 July 2024 and 31 June 2025, 1,580 more individuals joined the United Kingdom Regular Armed Forces than in the previous year, representing a 13 percent increase. Therefore, the increasing demand for realistic and adaptive training solutions is fueling the growth of artificial intelligence in the military training market.

Key companies in the AI in military training market are concentrating on conducting AI powered training programs to equip military personnel with expertise in emerging AI technologies. AI powered training programs are designed to enhance operational readiness, strengthen strategic decision making, and ensure the seamless integration of AI driven systems into defense operations. For example, in June 2025, the Nigerian Air Force (NAF), a Nigeria based armed force, launched an intensive three week artificial intelligence (AI) training program at the Air Force Research and Development Institute (AFRDI) in Osogbo. The initiative aims to enhance the NAF’s capabilities in AI and space technology, equipping personnel with the skills required to apply AI in military operations such as satellite systems, unmanned aerial vehicles, and cyber defense. By integrating AI into military activities, the program seeks to improve decision making, increase operational efficiency, and maintain technological superiority.

In February 2025, Applied Intuition Inc., a US-based vehicle software company, acquired EpiSys Science Inc. (EpiSci) for an undisclosed amount. Through this acquisition, Applied Intuition Inc. seeks to broaden its defense product portfolio by integrating artificial intelligence (AI)-powered software designed for national security and defense applications. The acquisition enhances the company’s capabilities in all-domain autonomy across land, air, sea, and space operations. EpiSys Science Inc. is a US-based company specializing in the development and provision of artificial intelligence (AI) solutions for military training.

Major companies operating in the artificial intelligence (AI) in military training market are BAE Systems plc, Lockheed Martin Corp., Northrop Grumman Corporation, CAE Inc., Raytheon Technologies Corp., The Boeing Company, Thales Group, Palantir Technologies Inc., Anduril Industries Inc., Leidos Group, IAI (Israel Aerospace Industries), General Dynamics Corp., Shield AI, Scale AI Inc., Calian, BigBear.ai Holdings Inc., Elbit Systems Ltd., Peraton, Soar Technology (SoarTech), Charles River Analytics Inc., International Business Machine Corp., Microsoft Corp., SimCentric Technologies Ltd., The ASTA Group, Athena AI, Inzpire Ltd.

North America was the largest region in the artificial intelligence (AI) in military training market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in military training market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs on advanced processors, simulation hardware, and immersive training devices have increased procurement costs in AI-enabled military training systems, particularly affecting technology-dependent regions such as North America, Europe, and Asia-Pacific. Segments related to hardware, simulation platforms, and augmented and virtual reality devices experience the most pressure due to import dependency. However, tariffs are also prompting domestic innovation, strengthening local manufacturing ecosystems, and encouraging regional defense industries to develop cost-effective AI-driven training solutions.

The artificial intelligence (AI) in military training market research report is one of a series of new reports that provides artificial intelligence (AI) in military training market statistics, including artificial intelligence (AI) in military training industry global market size, regional shares, competitors with a artificial intelligence (AI) in military training market share, detailed artificial intelligence (AI) in military training market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in military training industry. This artificial intelligence (AI) in military training market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence in military training refers to the application of advanced computational systems to simulate realistic combat scenarios and decision-making environments. It enables adaptive learning, predictive analysis, and automated feedback to enhance strategic capabilities and operational preparedness. By processing large volumes of data, artificial intelligence improves tactics, situational awareness, and overall training efficiency.

The key components in the artificial intelligence in military training market are software, hardware, and services. Software includes programs and platforms such as simulation tools, data analysis applications, and decision support systems that facilitate artificial intelligence functions within military training operations. The various technologies include machine learning, natural language processing, computer vision, simulation and modeling, and others, deployed through on-premises and cloud modes. Key applications include combat training, flight simulation, tactical training, chemical, biological, radiological, and nuclear simulation, cyber warfare training, electronic warfare training, and others. The different end users include the army, navy, air force, and others.

The countries covered in the artificial intelligence (ai) in military training market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial Intelligence (AI) in military training market consists of revenues earned by entities by providing services such as cybersecurity training, decision support systems, mission planning tools, autonomous vehicle training, and threat analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial Intelligence (AI) in military training market also includes sales of immersive augmented reality devices, autonomous training drones, and intelligent performance assessment systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.