The artificial intelligence in military market size was estimated at US$ 7.44 billion in 2022 it is predicted to grow at a CAGR of 12.83% from 2023 to 2032 to reach around US$ 24.88 billion by the end of 2032.
The artificial intelligence in military market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global artificial intelligence in military market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global artificial intelligence in military market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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| 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 |
This study covers an elaborate segmentation of the global artificial intelligence in military market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global artificial intelligence in military market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
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 |
Research Methodology
The research methodology acquire by analysts for assemble the global artificial intelligence in military market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts study numerous annual report declaration, white papers, market association declaration, and company websites to obtain the necessary understanding of the global artificial intelligence in military market.
TABLE OF CONTENT
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
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