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As per Intent Market Research, the Artificial Intelligence in Military Market was valued at USD 16.6 billion in 2023 and will surpass USD 48.2 billion by 2030; growing at a CAGR of 16.5% during 2024 - 2030.
The Autonomous Weapons Systems segment is projected to witness rapid growth within the Artificial Intelligence in Military Market. This surge is driven by the increasing emphasis on military modernization and the strategic adoption of advanced technologies to enhance operational effectiveness. Autonomous weapons, which can perform tasks without human intervention, provide military forces with significant advantages in precision, speed, and efficiency. As nations invest in developing sophisticated unmanned systems, including drones and robotic combat vehicles, the demand for AI-driven autonomous capabilities is expected to rise.
Moreover, the integration of AI technologies in autonomous weapons enables enhanced decision-making capabilities and real-time responsiveness to threats, allowing military forces to operate in complex and dynamic environments. Governments and defense contractors are focusing on the research and development of these systems to improve national security and maintain a competitive edge. As concerns about global security threats escalate, the urgency for deploying autonomous weapons systems is likely to drive substantial investments in this segment.
North America is anticipated to be the largest region in the Artificial Intelligence in Military Market, primarily due to substantial defense spending and ongoing technological advancements in the United States. The U.S. government continues to invest heavily in developing and implementing AI technologies within its armed forces, reflecting a commitment to enhancing military capabilities and operational readiness. Initiatives like the U.S. Department of Defense’s Joint Artificial Intelligence Center underscore the strategic importance placed on AI in defense operations.
Additionally, the presence of leading defense contractors such as Raytheon, Lockheed Martin, and Northrop Grumman contributes to the region's dominance in AI military applications. These companies are at the forefront of developing innovative solutions that leverage AI for various military applications, including surveillance, logistics, and combat systems. As geopolitical tensions rise and the demand for advanced military technologies grows, North America's strategic focus on integrating AI into defense systems will likely continue to reinforce its leading position in the Artificial Intelligence in Military Market.
The report focuses on estimating the current market potential in terms of the total addressable market for all the segments, sub-segments, and regions. In the process, all the high-growth and upcoming technologies were identified and analyzed to measure their impact on the current and future market. The report also identifies the key stakeholders, their business gaps, and their purchasing behavior. This information is essential for developing effective marketing strategies and creating products or services that meet the needs of the target market. The report also covers a detailed analysis of the competitive landscape which includes major players, their recent developments, growth strategies, product benchmarking, and manufacturing operations among others. Also, brief insights on start-up ecosystem and emerging companies is also included as part of this report.
The report will help you answer some of the most critical questions in the Artificial Intelligence in Military Market. A few of them are as follows:
Report Features |
Description |
Market Size (2023) |
USD 16.6 billion |
Forecasted Value (2030) |
USD 48.2 billion |
CAGR (2024 – 2030) |
16.5% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Artificial Intelligence in Military Market By Offering (Hardware, Software & Services), By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision, Predictive Analytics), By Application (Autonomous Weapons Systems, Surveillance and Reconnaissance, Command and Control Systems, Logistics and Supply Chain Management, Cybersecurity, Training and Simulation, Threat Detection), By Deployment (On-Premise, Cloud-Based), By Platform (Land, Air, Naval) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Artificial Intelligence in Military Market, by Offering (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Hardware |
4.1.1. Processor |
4.1.2. Memory |
4.1.3. Network |
4.2. Software & Services |
4.2.1. AI Solutions |
4.2.2. AI Platforms |
4.2.3. Others |
5. Artificial Intelligence in Military Market, by Technology (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Machine Learning |
5.2. Natural Language Processing (NLP) |
5.3. Computer Vision |
5.4. Predictive Analytics |
5.5. Others |
6. Artificial Intelligence in Military Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Autonomous Weapons Systems |
6.2. Surveillance & Reconnaissance |
6.3. Command & Control Systems |
6.4. Logistics & Supply Chain Management |
6.5. Cybersecurity |
6.6. Training & Simulation |
6.7. Threat Detection |
6.8. Others |
7. Artificial Intelligence in Military Market, by Deployment (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. On-Premise |
7.2. Cloud-Based |
8. Artificial Intelligence in Military Market, by Platform (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Land |
8.2. Air |
8.3. Naval |
9. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
9.1. Regional Overview |
9.2. North America |
9.2.1. Regional Trends & Growth Drivers |
9.2.2. Barriers & Challenges |
9.2.3. Opportunities |
9.2.4. Factor Impact Analysis |
9.2.5. Technology Trends |
9.2.6. North America Artificial Intelligence in Military Market, by Offering |
9.2.7. North America Artificial Intelligence in Military Market, by Technology |
9.2.8. North America Artificial Intelligence in Military Market, by Application |
9.2.9. North America Artificial Intelligence in Military Market, by Deployment |
9.2.10. North America Artificial Intelligence in Military Market, by Platform |
9.2.11. By Country |
9.2.11.1. US |
9.2.11.1.1. US Artificial Intelligence in Military Market, by Offering |
9.2.11.1.2. US Artificial Intelligence in Military Market, by Technology |
9.2.11.1.3. US Artificial Intelligence in Military Market, by Application |
9.2.11.1.4. US Artificial Intelligence in Military Market, by Deployment |
9.2.11.1.5. US Artificial Intelligence in Military Market, by Platform |
9.2.11.2. Canada |
9.2.11.3. Mexico |
*Similar segmentation will be provided for each region and country |
9.3. Europe |
9.4. Asia-Pacific |
9.5. Latin America |
9.6. Middle East & Africa |
10. Competitive Landscape |
10.1. Overview of the Key Players |
10.2. Competitive Ecosystem |
10.2.1. Level of Fragmentation |
10.2.2. Market Consolidation |
10.2.3. Product Innovation |
10.3. Company Share Analysis |
10.4. Company Benchmarking Matrix |
10.4.1. Strategic Overview |
10.4.2. Product Innovations |
10.5. Start-up Ecosystem |
10.6. Strategic Competitive Insights/ Customer Imperatives |
10.7. ESG Matrix/ Sustainability Matrix |
10.8. Manufacturing Network |
10.8.1. Locations |
10.8.2. Supply Chain and Logistics |
10.8.3. Product Flexibility/Customization |
10.8.4. Digital Transformation and Connectivity |
10.8.5. Environmental and Regulatory Compliance |
10.9. Technology Readiness Level Matrix |
10.10. Technology Maturity Curve |
10.11. Buying Criteria |
11. Company Profiles |
11.1. AMD |
11.1.1. Company Overview |
11.1.2. Company Financials |
11.1.3. Product/Service Portfolio |
11.1.4. Recent Developments |
11.1.5. IMR Analysis |
*Similar information will be provided for other companies |
11.2. BAE Systems |
11.3. Cisco |
11.4. General Dynamics |
11.5. Google |
11.6. IBM |
11.7. L3Harris |
11.8. Lockheed Martin |
11.9. Microsoft |
11.10. Northrop Grumman |
11.11. NVIDIA |
11.12. Palantir |
11.13. RTX Corporation |
11.14. SAIC Inc. |
11.15. Thales |
12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Artificial Intelligence in Military Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Artificial Intelligence in Military Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Artificial Intelligence in Military ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Artificial Intelligence in Military Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.