The global artificial intelligence in military market size was approximate at US$ 7.93 billion in 2022 and is anticipated to grow US$ 22.62 billion by 2032, registering a compound annual growth rate of 11.05% from 2023 to 2032.
The artificial intelligence in military market report covering various industry elements and growth trends helpful for predicting the market’s future.
The study provides a strong base for the artificial intelligence in military market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2032.
This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2023 g0066ztr to 2032. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the artificial intelligence in military report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the artificial intelligence in military market have been studied and analysed across many developments.
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Artificial Intelligence In Military Market Report Scope
Report Coverage | Details |
Market Size in 2023 | USD 8.81 Billion |
Market Size by 2032 | USD 22.62 Billion |
Growth Rate from 2023 to 2032 | CAGR of 11.05% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered | By Component, By Technology, By Platform, By Installation, and By Application |
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Research Approach
The comprehensive report on the global artificial intelligence in military market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in military market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
Key Players
- Machine Halo
- Lockheed Martin
- Northrop Grumman
- Raytheon Company
- Thales Group
- Bae Systems
- IBM
- General Dynamics
- Soartech
- Nvidia
- Sparkcognition
- Saic
- Charles River Analytics
- Leidos
- Boeing
- GovBrain
- ShieldAI
- SuperFlex
- SRI International
- DARPA
- PrecisionHawk
- MRX Global Holding Corp.
- Centaurus Technology
- Hi-Tech Robotic System
Artificial Intelligence In Military Market Segmentations
By Component
- Hardware
- Software
- Services
By Technology
- Advanced Computing
- Ai Systems
- Learning and Intelligence
By Platform
- Airborne
- Land
- Naval
- Space
By Installation
- New Procurement
- Upgrade
By Application
- Cyber Security
- Battlefield Healthcare
- Logistics and Transportation
- Information Processing
- Warfare Platform
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- The Middle East and Africa
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 Component
8.1. Artificial Intelligence In Military Market, by Component, 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 Technology
9.1. Artificial Intelligence In Military Market, by Technology, 2023-2032
9.1.1. Advanced Computing
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Ai Systems
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Learning and Intelligence
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence In Military Market, By Platform
10.1. Artificial Intelligence In Military Market, by Platform, 2023-2032
10.1.1. Airborne
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Land
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Naval
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Space
10.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence In Military Market, By Installation
11.1. Artificial Intelligence In Military Market, by Installation, 2023-2032
11.1.1. New Procurement
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Upgrade
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence In Military Market, By Application
12.1. Artificial Intelligence In Military Market, by Application, 2023-2032
12.1.1. Cyber Security
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Battlefield Healthcare
12.1.2.1. Market Revenue and Forecast (2020-2032)
12.1.3. Logistics and Transportation
12.1.3.1. Market Revenue and Forecast (2020-2032)
12.1.4. Information Processing
12.1.4.1. Market Revenue and Forecast (2020-2032)
12.1.5. Warfare Platform
12.1.5.1. 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 Component (2020-2032)
13.1.2. Market Revenue and Forecast, by Technology (2020-2032)
13.1.3. Market Revenue and Forecast, by Platform (2020-2032)
13.1.4. Market Revenue and Forecast, by Installation (2020-2032)
13.1.5. Market Revenue and Forecast, by Application (2020-2032)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)
13.1.6.3. Market Revenue and Forecast, by Platform (2020-2032)
13.1.6.4. Market Revenue and Forecast, by Installation (2020-2032)
13.1.6.5. Market Revenue and Forecast, by Application (2020-2032)
13.1.7. Rest of North America
13.1.7.1. Market Revenue and Forecast, by Component (2020-2032)
13.1.7.2. Market Revenue and Forecast, by Technology (2020-2032)
13.1.7.3. Market Revenue and Forecast, by Platform (2020-2032)
13.1.7.4. Market Revenue and Forecast, by Installation (2020-2032)
13.1.7.5. Market Revenue and Forecast, by Application (2020-2032)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.2. Market Revenue and Forecast, by Technology (2020-2032)
13.2.3. Market Revenue and Forecast, by Platform (2020-2032)
13.2.4. Market Revenue and Forecast, by Installation (2020-2032)
13.2.5. Market Revenue and Forecast, by Application (2020-2032)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)
13.2.6.3. Market Revenue and Forecast, by Platform (2020-2032)
13.2.7. Market Revenue and Forecast, by Installation (2020-2032)
13.2.8. Market Revenue and Forecast, by Application (2020-2032)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.9.2. Market Revenue and Forecast, by Technology (2020-2032)
13.2.9.3. Market Revenue and Forecast, by Platform (2020-2032)
13.2.10. Market Revenue and Forecast, by Installation (2020-2032)
13.2.11. Market Revenue and Forecast, by Application (2020-2032)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.12.2. Market Revenue and Forecast, by Technology (2020-2032)
13.2.12.3. Market Revenue and Forecast, by Platform (2020-2032)
13.2.12.4. Market Revenue and Forecast, by Installation (2020-2032)
13.2.13. Market Revenue and Forecast, by Application (2020-2032)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)
13.2.14.2. Market Revenue and Forecast, by Technology (2020-2032)
13.2.14.3. Market Revenue and Forecast, by Platform (2020-2032)
13.2.14.4. Market Revenue and Forecast, by Installation (2020-2032)
13.2.15. Market Revenue and Forecast, by Application (2020-2032)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.2. Market Revenue and Forecast, by Technology (2020-2032)
13.3.3. Market Revenue and Forecast, by Platform (2020-2032)
13.3.4. Market Revenue and Forecast, by Installation (2020-2032)
13.3.5. Market Revenue and Forecast, by Application (2020-2032)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)
13.3.6.3. Market Revenue and Forecast, by Platform (2020-2032)
13.3.6.4. Market Revenue and Forecast, by Installation (2020-2032)
13.3.7. Market Revenue and Forecast, by Application (2020-2032)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)
13.3.8.3. Market Revenue and Forecast, by Platform (2020-2032)
13.3.8.4. Market Revenue and Forecast, by Installation (2020-2032)
13.3.9. Market Revenue and Forecast, by Application (2020-2032)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.10.2. Market Revenue and Forecast, by Technology (2020-2032)
13.3.10.3. Market Revenue and Forecast, by Platform (2020-2032)
13.3.10.4. Market Revenue and Forecast, by Installation (2020-2032)
13.3.10.5. Market Revenue and Forecast, by Application (2020-2032)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.3.11.2. Market Revenue and Forecast, by Technology (2020-2032)
13.3.11.3. Market Revenue and Forecast, by Platform (2020-2032)
13.3.11.4. Market Revenue and Forecast, by Installation (2020-2032)
13.3.11.5. Market Revenue and Forecast, by Application (2020-2032)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.2. Market Revenue and Forecast, by Technology (2020-2032)
13.4.3. Market Revenue and Forecast, by Platform (2020-2032)
13.4.4. Market Revenue and Forecast, by Installation (2020-2032)
13.4.5. Market Revenue and Forecast, by Application (2020-2032)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)
13.4.6.3. Market Revenue and Forecast, by Platform (2020-2032)
13.4.6.4. Market Revenue and Forecast, by Installation (2020-2032)
13.4.7. Market Revenue and Forecast, by Application (2020-2032)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)
13.4.8.3. Market Revenue and Forecast, by Platform (2020-2032)
13.4.8.4. Market Revenue and Forecast, by Installation (2020-2032)
13.4.9. Market Revenue and Forecast, by Application (2020-2032)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.10.2. Market Revenue and Forecast, by Technology (2020-2032)
13.4.10.3. Market Revenue and Forecast, by Platform (2020-2032)
13.4.10.4. Market Revenue and Forecast, by Installation (2020-2032)
13.4.10.5. Market Revenue and Forecast, by Application (2020-2032)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)
13.4.11.2. Market Revenue and Forecast, by Technology (2020-2032)
13.4.11.3. Market Revenue and Forecast, by Platform (2020-2032)
13.4.11.4. Market Revenue and Forecast, by Installation (2020-2032)
13.4.11.5. Market Revenue and Forecast, by Application (2020-2032)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.2. Market Revenue and Forecast, by Technology (2020-2032)
13.5.3. Market Revenue and Forecast, by Platform (2020-2032)
13.5.4. Market Revenue and Forecast, by Installation (2020-2032)
13.5.5. Market Revenue and Forecast, by Application (2020-2032)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)
13.5.6.3. Market Revenue and Forecast, by Platform (2020-2032)
13.5.6.4. Market Revenue and Forecast, by Installation (2020-2032)
13.5.7. Market Revenue and Forecast, by Application (2020-2032)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)
13.5.8.2. Market Revenue and Forecast, by Technology (2020-2032)
13.5.8.3. Market Revenue and Forecast, by Platform (2020-2032)
13.5.8.4. Market Revenue and Forecast, by Installation (2020-2032)
13.5.8.5. Market Revenue and Forecast, by Application (2020-2032)
Chapter 14. Company Profiles
14.1. Machine Halo
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Lockheed Martin
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. Northrop Grumman
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Raytheon Company
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Thales Group
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Bae Systems
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. IBM
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. General Dynamics
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. Soartech
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. Nvidia
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. 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
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in military market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in military are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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