The global artificial intelligence in military market size was estimated at around USD 7.44 billion in 2022 and it is projected to hit around USD 24.88 billion by 2032, growing at a CAGR of 12.83% from 2023 to 2032.
Key Pointers
Report Coverage | Details |
Market Size in 2022 | USD 7.44 billion |
Revenue Forecast by 2032 | USD 24.88 billion |
Growth rate from 2023 to 2032 | CAGR of 12.83% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Regions Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Companies Covered | Lockheed Martin Corporation; BAE Systems, Inc.; Northrop Grumman Corporation; Raytheon Technologies;Rafael Advanced Defense Systems; SparkCognition; L3Harris Technologies Inc.;International Business Machines Corporation; Thales Group |
Increased government spending on the R&D of military weaponry with AI capabilities, development of specialized AI chips, growing adoption of big data in the defense industry, growing private investment in the R&D of AI-based military technology, and incidence of animosity and cross-border wars in various countries are some of the main factors anticipated to propel the growth of AI in the military sector. For instance, in June 2022, The Ministry of Defense (MoD) announced the U.K.'s Defense AI Strategy, which stated the safe, ambitious, and responsible use of AI and a set of ethical guidelines designed to govern the military and defense sectors' use of AI.
Training and simulation are broad fields combining system and software engineering principles to build models that can help soldiers train on various fighting systems used in military operations.U.S. Army is investing significant time and resources in virtual reality (VR), augmented reality (AR), and mixed reality (MR) equipment and training to make infantry safer and better prepared. For instance, in October 2022, as part of an operational assessment coordinated by the U.S. Army Test and Evaluation Command, Fort Hood's Combat Tactical Training Center hosted 150 soldiers to prepare them for realistic battlefield training.
The rising use of AI-powered cybersecurity is anticipated to increase the need for artificial intelligence in the military sector during the projected period. In October 2022, the Georgia Institute of Technology granted a $22.7 million contract by the U.S. Defense Advanced Research Projects Agency (DARP) to create strategies for identifying, controlling, and defeating hackers and assisting in the integration of cybersecurity. AI chips have increased, with chipmakers developing various types of these chips to power AI applications like computer vision, natural language processing, network security, and robotics across a wide range of industries, including automotive, IT, retail, and healthcare.
Regional Insights
North America registered the largest revenue share of 35.3% in 2022, due to the increasing investment in artificial intelligence technologies by the major countries in North America. The U.S. dominates this sector and is investing in AI. systems to preserve its military dominance and reduce the risk of possible network threats.
For instance, In November 2020, C3.ai, Inc., an enterprise A.I. software provider, announced a collaboration with Raytheon Intelligence & Space, a producer of advanced sensors, training, software, and hardware. This collaboration aimed to create artificial intelligence programs for aerospace and defense operations for government clients, such as the U.S. Air Force and the intelligence community.
Market revenue in Europe is anticipated to grow significantly throughout the forecast period due to Russia's modernization of its weapons. The Russian government invested considerable money in creating information management technologies to improve decision-making in actual combat circumstances.
For instance, in August 2022, The Russian Ministry of Defense introduced a department dedicated to developing artificial intelligence weapons. A new department is created to accelerate work on the application of artificial intelligence technology to produce models of firearms for military and special equipment.
Artificial Intelligence In Military Market Segmentations:
By Offering | By Application | By Technology | By Platform | By Installation |
Hardware Software Services |
Warfare Platform Cyber Security Logistics & Transportation Surveillance & Situational Awareness Command & Control Battlefield Healthcare Simulation & Training Information Processing Threat Detection Others |
Machine Learning Deep Learning Natural Language Processing Context-Aware Computing Computer Vision Intelligent Virtual Agent (Iva) /Virtual Agents Others |
Land Naval Airborne Space |
New Procurement Upgradation |
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence In Military Market
5.1. COVID-19 Landscape: Artificial Intelligence In Military Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence In Military Market, By Offering
8.1. Artificial Intelligence In Military Market, by Offering, 2023-2032
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence In Military Market, By Application
9.1. Artificial Intelligence In Military Market, by Application, 2023-2032
9.1.1. Warfare Platform
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cyber Security
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Logistics & Transportation
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Surveillance & Situational Awareness
9.1.4.1. Market Revenue and Forecast (2020-2032)
9.1.5. Command & Control
9.1.5.1. Market Revenue and Forecast (2020-2032)
9.1.6. Battlefield Healthcare
9.1.6.1. Market Revenue and Forecast (2020-2032)
9.1.7. Simulation & Training
9.1.7.1. Market Revenue and Forecast (2020-2032)
9.1.8. Information Processing
9.1.8.1. Market Revenue and Forecast (2020-2032)
9.1.9. Threat Detection
9.1.9.1. Market Revenue and Forecast (2020-2032)
9.1.10. Others
9.1.10.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence In Military Market, By Technology
10.1. Artificial Intelligence In Military Market, by Technology, 2023-2032
10.1.1. Machine Learning
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Deep Learning
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Natural Language Processing
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Context-Aware Computing
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Computer Vision
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Intelligent Virtual Agent (Iva) /Virtual Agents
10.1.6.1. Market Revenue and Forecast (2020-2032)
10.1.7. Others
10.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence In Military Market, By Platform
11.1. Artificial Intelligence In Military Market, by Platform, 2023-2032
11.1.1. Land
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Naval
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Airborne
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Space
11.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence In Military Market, By Installation
12.1. Artificial Intelligence In Military Market, by Installation, 2023-2032
12.1.1. New Procurement
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Upgradation
12.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Artificial Intelligence In Military Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Offering (2020-2032)
13.1.2. Market Revenue and Forecast, by Application (2020-2032)
13.1.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.4. Market Revenue and Forecast, by Platform (2020-2032)
13.1.5. Market Revenue and Forecast, by Installation (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Offering (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Application (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Platform (2020-2032)
13.1.7. Market Revenue and Forecast, by Installation (2020-2032)
13.1.8. Rest of North America
13.1.8.1. Market Revenue and Forecast, by Offering (2020-2032)
13.1.8.2. Market Revenue and Forecast, by Application (2020-2032)
13.1.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.1.8.4. Market Revenue and Forecast, by Platform (2020-2032)
13.1.8.5. Market Revenue and Forecast, by Installation (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Offering (2020-2032)
13.2.2. Market Revenue and Forecast, by Application (2020-2032)
13.2.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.4. Market Revenue and Forecast, by Platform (2020-2032)
13.2.5. Market Revenue and Forecast, by Installation (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Offering (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Application (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.7. Market Revenue and Forecast, by Platform (2020-2032)
13.2.8. Market Revenue and Forecast, by Installation (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Offering (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Application (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.10. Market Revenue and Forecast, by Platform (2020-2032)
13.2.11. Market Revenue and Forecast, by Installation (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Offering (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Application (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Platform (2020-2032)
13.2.13. Market Revenue and Forecast, by Installation (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Offering (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Application (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Technology (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Platform (2020-2032)
13.2.15. Market Revenue and Forecast, by Installation (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Offering (2020-2032)
13.3.2. Market Revenue and Forecast, by Application (2020-2032)
13.3.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.4. Market Revenue and Forecast, by Platform (2020-2032)
13.3.5. Market Revenue and Forecast, by Installation (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Offering (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Application (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Platform (2020-2032)
13.3.7. Market Revenue and Forecast, by Installation (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Offering (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Application (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Platform (2020-2032)
13.3.9. Market Revenue and Forecast, by Installation (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Offering (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Application (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Platform (2020-2032)
13.3.10.5. Market Revenue and Forecast, by Installation (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Offering (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Application (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Technology (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Platform (2020-2032)
13.3.11.5. Market Revenue and Forecast, by Installation (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Offering (2020-2032)
13.4.2. Market Revenue and Forecast, by Application (2020-2032)
13.4.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.4. Market Revenue and Forecast, by Platform (2020-2032)
13.4.5. Market Revenue and Forecast, by Installation (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Offering (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Application (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Platform (2020-2032)
13.4.7. Market Revenue and Forecast, by Installation (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Offering (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Application (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Platform (2020-2032)
13.4.9. Market Revenue and Forecast, by Installation (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Offering (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Application (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Platform (2020-2032)
13.4.10.5. Market Revenue and Forecast, by Installation (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Offering (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Application (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Technology (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Platform (2020-2032)
13.4.11.5. Market Revenue and Forecast, by Installation (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Offering (2020-2032)
13.5.2. Market Revenue and Forecast, by Application (2020-2032)
13.5.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.4. Market Revenue and Forecast, by Platform (2020-2032)
13.5.5. Market Revenue and Forecast, by Installation (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Offering (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Application (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Platform (2020-2032)
13.5.7. Market Revenue and Forecast, by Installation (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Offering (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Application (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Technology (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Platform (2020-2032)
13.5.8.5. Market Revenue and Forecast, by Installation (2020-2032)
Chapter 14. Company Profiles
14.1. Lockheed Martin Corporation
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. BAE Systems, Inc.
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Northrop Grumman Corporation
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Raytheon Technologies
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Rafael Advanced Defense Systems
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Rafael Advanced Defense Systems
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. L3Harris Technologies Inc.
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. International Business Machines Corporation
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. Thales Group
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms