Artificial intelligence in military market is anticipated to have a valuation of US$ 8.35 billion in 2023. According to Future Market Insights, between 2023 and 2033, the market is forecast to expand at a 12.8% CAGR and reach a value of US$ 27.84 billion.
Every industry is getting comfortable with AI, and the military is not falling behind in this race. The development of specialized AI processors and increased government spending on research and development of military equipment with AI capabilities benefit the global market.
Introduction of Cloud Solutions and Quantum Mechanics Evolve the Artificial Intelligence in Military Sector Prospects
The key states have set up specialist departments or organizations to plan, launch, and incorporate AI capabilities into military hardware. The industry is likely to see amazing opportunities as the military increasingly embraces cloud services. Also, the sector experiences profitable changes owing to the increasing operational performance of autonomous systems.
| Attributes | Details |
|---|---|
| Artificial Intelligence in Military Market CAGR (2023 to 2033) | 12.8% |
| Artificial Intelligence in Military Market Size (2023) | US$ 8.35 billion |
| Artificial Intelligence in Military Market Size (2033) | US$ 27.84 billion |
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The industry's growth comes from the increasing use of big data in the defense sector. Rising private investment in the research and development of AI-based military technology leads to a growth rate of 1.12x between 2022 and 2023.
| Market Value (2018) | US$ 5.04 billion |
|---|---|
| Market Value (2022) | US$ 7.4 billion |
| Market CAGR (2018 to 2022) | 10% |
A notable innovation driving the rise in demand for AI in the military is quantum mechanics. In the next few years, it is anticipated that the integration of quantum computing with artificial intelligence offers a fresh market outlook.
The use of AI in cybersecurity is predicted to expand due to both the surging threat of cyberattacks and the increasing usage of AI in these applications.
The military artificial intelligence industry is seeing growth in a key trend called technological advancement. Key participants in the market are concentrating their efforts on creating cutting-edge technologies in order to strengthen their positions.
For instance, in July 2022, the United States-based aerospace and defense company Raytheon Technologies partnered with C3 AI's application platform to provide next-generation machine learning (ML) and artificial intelligence (AI) capabilities. It is for the TITAN (Tactical Intelligence Targeting Access Node) program of the United States Army.
Moreover, to provide targetable data and situational awareness, TITAN collects data from high altitudes and space using terrestrial and aerial sensors.
Milestones Cutting the Key Participants' Earnings from the Industry
Many governments have used AI-controlled systems for automation and inspection, raising concerns that human teaching of robots is necessary to ensure authority and humanitarian security.
Regarding the possibility that government agencies are enhancing ‘Automated Killer Robots’ to win the AI weapons competition, humanitarian organizations like Human Rights Watch are also concerned.
Some say that human oversight of robots is necessary to maintain management and humanitarian protection when national authorities implement AI-controlled systems for automated procedures and surveillance. This has prompted concerns. The aforementioned issues prevent market growth.
Principal Consultant
| Country | CAGR (2023 to 2033) |
|---|---|
| United States | 19.4% |
| United Kingdom | 23.8% |
| China | 35% |
| India | 67.2% |
Due to increased investment in artificial intelligence technologies by the key countries in North America, its revenue share increased to 35.3% in 2022. To maintain its military hegemony and lower the risk of potential network threats, the United States, which leads this industry, is investing in AI systems.
Systems and software engineering ideas are combined in the disciplines of training and simulation to create models that can help soldiers train on different fighting systems utilized in military operations.
To make infantry safer and more prepared, the United States Army is spending a lot of time and money developing equipment for augmented reality, virtual reality, and mixed reality.
For instance, Fort Hood's Combat Tactical Training Center welcomed 150 soldiers in October 2022 as part of an operational evaluation organized by the United States Army Test and Evaluation Command to get them ready for training on a real battlefield.
The United States Defense Advanced Research Projects Agency (DARP) awarded the Georgia University of Technology a US$ 22.7 million contract in October 2022. This is to develop methods for locating, managing, and defeating hackers, as well as supporting the integration of cybersecurity.
In order to enable AI applications like computer vision, natural language processing, network security, and robotics across a wide range of industries, including IT, retail, automotive, and healthcare, the amount of AI chips has expanded.
Due to Russia's upgrading of its arsenal, market revenue in Europe is predicted to increase dramatically over the projection period. The development of information management technology was heavily funded by the Russian government in order to facilitate better decision-making during actual warfare.
In Europe, the United Kingdom is rapidly growing. The expansion of the market is being fueled by the United Kingdom government's initiatives to build AI capabilities in the defense industry, such as the Defence Science and Technology Laboratory (DSTL) Strategy Plan 2018 to 2023.
For instance, the Russian Ministry of Defense established a division tasked with creating artificial intelligence-based weaponry in August 2022. The development of models of weapons for the military and specialized equipment using artificial intelligence technology is accelerated by the establishment of a new department.
As OEMs and operators invest more money in supply chain AI integration operations, Asia Pacific is predicted to see significant growth in the adoption of AI and machine learning (ML) technologies. The most creative and emerging nations in the development and integration of AI today are South Korea, China, and Japan.
Several businesses in the area perform research on cutting-edge AI uses in the aviation sector. Asia Pacific manufacturing facilities for aircraft and componentry have consistently benefited from the use of AI technologies.
For instance, Pratt & Whitney's Singapore facility's use of adaptive machining and cutting-edge robotic inspection techniques has led to a steady increase in productivity levels in the future years.
In 2022, the software sector had the leading revenue share of 43.1%. The growth of the market is attributable to the importance of AI software in developing IT infrastructure and preventing security breaches.
Artificial intelligence (AI) is expected to advance in the military sector over the next few years as a result of the increasing technological advancements in the field.
There is a rising demand for specialist hardware components like AI processors and memory, as well as the growing use of AI technology for complex processes. Due to this, it is anticipated that the hardware segment is accounting for robust revenue growth over the projection period.
In 2022, information processing led the market with a share of 14.9%. Due to rising reliance on big data for decision-making, it is projected that the revenue for the information processing sector is likely to increase quickly.
With a CAGR of 15.5% during the projection period, the cybersecurity industry is expected to expand rapidly. The rate of cybercrime has increased globally due to the development of new tools and technologies. Similarly, state-sponsored cyberattacks have grown significantly. Business and governmental organizations are quickly adopting AI-based solutions that can predict, stop, and respond to cyber threats effectively.
In 2022, machine learning is anticipated to have the leading revenue share, at 26.0%. Military systems with machine learning capabilities can effectively handle greater data quantities. Moreover, machine learning improves self-control, self-regulation, and the battle system's ability to act on its own.
Throughout the projection period, revenue from AI in the military sector's computer vision segment is anticipated to increase. To sort through a massive volume of data and notify military intelligence officials of the existence of strategically significant objects or people, computer vision programs are being developed.
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Advanced AI-based technologies are being developed by businesses for a range of military applications, including unmanned systems, cybersecurity, intelligence, and surveillance systems. To improve their capabilities and obtain a competitive edge in the market, they are also making significant investments in research and development operations.
| Year | November 2022 |
|---|---|
| Company | BAE Systems plc |
| Developments | Inzpire, a provider of defense-managed services, joined up with BAE Systems plc, a global armaments, security, and aerospace corporation with headquarters in London. |
| Year | December 2020 |
|---|---|
| Company | Boeing (United States) |
| Developments |
|
| Year | March 2021 |
|---|---|
| Company | Sea Machines Robotics |
| Developments | In order to create a cutting-edge pilot-assist method for water jets that use computer autonomous and visual command and control technologies, Sea Machines Robotics and HamiltonJet entered into a contract. |
The artificial intelligence in military market is valued at US$ 8.35 billion in 2023.
Charles River Analytics, Inc. and International Business Machines are key market players.
The artificial intelligence in military market will reach US$ 27.84 billion by 2033.
Technological advancements will drive artificial intelligence in military sales.
Information processing is likely to remain preferred through 2033.
1. Executive Summary | Artificial Intelligence in Military Market
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Hardware
5.3.2. Software
5.3.3. Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Warfare Platform
6.3.2. Cyber Security
6.3.3. Logistics & Transportation
6.3.4. Surveillance & Situational Awareness
6.3.5. Command & Control
6.3.6. Battlefield Healthcare
6.3.7. Simulation & Training
6.3.8. Information Processing
6.3.9. Threat Detection
6.3.10. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2023 to 2033
7.3.1. Machine Learning
7.3.2. Deep Learning
7.3.3. Natural Language Processing
7.3.4. Context-Aware Computing
7.3.5. Intelligent Virtual Agent
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Platform
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Platform, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Platform, 2023 to 2033
8.3.1. Land
8.3.2. Naval
8.3.3. Airborne
8.3.4. Space
8.4. Y-o-Y Growth Trend Analysis By Platform, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Platform, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Installation
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By Installation, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Installation, 2023 to 2033
9.3.1. New Procurement
9.3.2. Upgradation
9.4. Y-o-Y Growth Trend Analysis By Installation, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By Installation, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
10.1. Introduction
10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
10.3.1. North America
10.3.2. Latin America
10.3.3. Europe
10.3.4. South Asia
10.3.5. East Asia
10.3.6. Oceania
10.3.7. MEA
10.4. Market Attractiveness Analysis By Region
11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. USA
11.2.1.2. Canada
11.2.2. By Component
11.2.3. By Application
11.2.4. By Technology
11.2.5. By Platform
11.2.6. By Installation
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Application
11.3.4. By Technology
11.3.5. By Platform
11.3.6. By Installation
11.4. Key Takeaways
12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Brazil
12.2.1.2. Mexico
12.2.1.3. Rest of Latin America
12.2.2. By Component
12.2.3. By Application
12.2.4. By Technology
12.2.5. By Platform
12.2.6. By Installation
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Application
12.3.4. By Technology
12.3.5. By Platform
12.3.6. By Installation
12.4. Key Takeaways
13. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Germany
13.2.1.2. UNITED KINGDOM
13.2.1.3. France
13.2.1.4. Spain
13.2.1.5. Italy
13.2.1.6. Rest of Europe
13.2.2. By Component
13.2.3. By Application
13.2.4. By Technology
13.2.5. By Platform
13.2.6. By Installation
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Application
13.3.4. By Technology
13.3.5. By Platform
13.3.6. By Installation
13.4. Key Takeaways
14. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Malaysia
14.2.1.3. Singapore
14.2.1.4. Thailand
14.2.1.5. Rest of South Asia
14.2.2. By Component
14.2.3. By Application
14.2.4. By Technology
14.2.5. By Platform
14.2.6. By Installation
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Application
14.3.4. By Technology
14.3.5. By Platform
14.3.6. By Installation
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Component
15.2.3. By Application
15.2.4. By Technology
15.2.5. By Platform
15.2.6. By Installation
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Component
15.3.3. By Application
15.3.4. By Technology
15.3.5. By Platform
15.3.6. By Installation
15.4. Key Takeaways
16. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. Australia
16.2.1.2. New Zealand
16.2.2. By Component
16.2.3. By Application
16.2.4. By Technology
16.2.5. By Platform
16.2.6. By Installation
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Component
16.3.3. By Application
16.3.4. By Technology
16.3.5. By Platform
16.3.6. By Installation
16.4. Key Takeaways
17. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Country
17.2.1.1. GCC Countries
17.2.1.2. South Africa
17.2.1.3. Israel
17.2.1.4. Rest of MEA
17.2.2. By Component
17.2.3. By Application
17.2.4. By Technology
17.2.5. By Platform
17.2.6. By Installation
17.3. Market Attractiveness Analysis
17.3.1. By Country
17.3.2. By Component
17.3.3. By Application
17.3.4. By Technology
17.3.5. By Platform
17.3.6. By Installation
17.4. Key Takeaways
18. Key Countries Market Analysis
18.1. USA
18.1.1. Pricing Analysis
18.1.2. Market Share Analysis, 2022
18.1.2.1. By Component
18.1.2.2. By Application
18.1.2.3. By Technology
18.1.2.4. By Platform
18.1.2.5. By Installation
18.2. Canada
18.2.1. Pricing Analysis
18.2.2. Market Share Analysis, 2022
18.2.2.1. By Component
18.2.2.2. By Application
18.2.2.3. By Technology
18.2.2.4. By Platform
18.2.2.5. By Installation
18.3. Brazil
18.3.1. Pricing Analysis
18.3.2. Market Share Analysis, 2022
18.3.2.1. By Component
18.3.2.2. By Application
18.3.2.3. By Technology
18.3.2.4. By Platform
18.3.2.5. By Installation
18.4. Mexico
18.4.1. Pricing Analysis
18.4.2. Market Share Analysis, 2022
18.4.2.1. By Component
18.4.2.2. By Application
18.4.2.3. By Technology
18.4.2.4. By Platform
18.4.2.5. By Installation
18.5. Germany
18.5.1. Pricing Analysis
18.5.2. Market Share Analysis, 2022
18.5.2.1. By Component
18.5.2.2. By Application
18.5.2.3. By Technology
18.5.2.4. By Platform
18.5.2.5. By Installation
18.6. UNITED KINGDOM
18.6.1. Pricing Analysis
18.6.2. Market Share Analysis, 2022
18.6.2.1. By Component
18.6.2.2. By Application
18.6.2.3. By Technology
18.6.2.4. By Platform
18.6.2.5. By Installation
18.7. France
18.7.1. Pricing Analysis
18.7.2. Market Share Analysis, 2022
18.7.2.1. By Component
18.7.2.2. By Application
18.7.2.3. By Technology
18.7.2.4. By Platform
18.7.2.5. By Installation
18.8. Spain
18.8.1. Pricing Analysis
18.8.2. Market Share Analysis, 2022
18.8.2.1. By Component
18.8.2.2. By Application
18.8.2.3. By Technology
18.8.2.4. By Platform
18.8.2.5. By Installation
18.9. Italy
18.9.1. Pricing Analysis
18.9.2. Market Share Analysis, 2022
18.9.2.1. By Component
18.9.2.2. By Application
18.9.2.3. By Technology
18.9.2.4. By Platform
18.9.2.5. By Installation
18.10. India
18.10.1. Pricing Analysis
18.10.2. Market Share Analysis, 2022
18.10.2.1. By Component
18.10.2.2. By Application
18.10.2.3. By Technology
18.10.2.4. By Platform
18.10.2.5. By Installation
18.11. Malaysia
18.11.1. Pricing Analysis
18.11.2. Market Share Analysis, 2022
18.11.2.1. By Component
18.11.2.2. By Application
18.11.2.3. By Technology
18.11.2.4. By Platform
18.11.2.5. By Installation
18.12. Singapore
18.12.1. Pricing Analysis
18.12.2. Market Share Analysis, 2022
18.12.2.1. By Component
18.12.2.2. By Application
18.12.2.3. By Technology
18.12.2.4. By Platform
18.12.2.5. By Installation
18.13. Thailand
18.13.1. Pricing Analysis
18.13.2. Market Share Analysis, 2022
18.13.2.1. By Component
18.13.2.2. By Application
18.13.2.3. By Technology
18.13.2.4. By Platform
18.13.2.5. By Installation
18.14. China
18.14.1. Pricing Analysis
18.14.2. Market Share Analysis, 2022
18.14.2.1. By Component
18.14.2.2. By Application
18.14.2.3. By Technology
18.14.2.4. By Platform
18.14.2.5. By Installation
18.15. Japan
18.15.1. Pricing Analysis
18.15.2. Market Share Analysis, 2022
18.15.2.1. By Component
18.15.2.2. By Application
18.15.2.3. By Technology
18.15.2.4. By Platform
18.15.2.5. By Installation
18.16. South Korea
18.16.1. Pricing Analysis
18.16.2. Market Share Analysis, 2022
18.16.2.1. By Component
18.16.2.2. By Application
18.16.2.3. By Technology
18.16.2.4. By Platform
18.16.2.5. By Installation
18.17. Australia
18.17.1. Pricing Analysis
18.17.2. Market Share Analysis, 2022
18.17.2.1. By Component
18.17.2.2. By Application
18.17.2.3. By Technology
18.17.2.4. By Platform
18.17.2.5. By Installation
18.18. New Zealand
18.18.1. Pricing Analysis
18.18.2. Market Share Analysis, 2022
18.18.2.1. By Component
18.18.2.2. By Application
18.18.2.3. By Technology
18.18.2.4. By Platform
18.18.2.5. By Installation
18.19. GCC Countries
18.19.1. Pricing Analysis
18.19.2. Market Share Analysis, 2022
18.19.2.1. By Component
18.19.2.2. By Application
18.19.2.3. By Technology
18.19.2.4. By Platform
18.19.2.5. By Installation
18.20. South Africa
18.20.1. Pricing Analysis
18.20.2. Market Share Analysis, 2022
18.20.2.1. By Component
18.20.2.2. By Application
18.20.2.3. By Technology
18.20.2.4. By Platform
18.20.2.5. By Installation
18.21. Israel
18.21.1. Pricing Analysis
18.21.2. Market Share Analysis, 2022
18.21.2.1. By Component
18.21.2.2. By Application
18.21.2.3. By Technology
18.21.2.4. By Platform
18.21.2.5. By Installation
19. Market Structure Analysis
19.1. Competition Dashboard
19.2. Competition Benchmarking
19.3. Market Share Analysis of Top Players
19.3.1. By Regional
19.3.2. By Component
19.3.3. By Application
19.3.4. By Technology
19.3.5. By Platform
19.3.6. By Installation
20. Competition Analysis
20.1. Competition Deep Dive
20.1.1. BAE Systems Plc.
20.1.1.1. Overview
20.1.1.2. Product Portfolio
20.1.1.3. Profitability by Market Segments
20.1.1.4. Sales Footprint
20.1.1.5. Strategy Overview
20.1.1.5.1. Marketing Strategy
20.1.2. Charles River Analytics, Inc.
20.1.2.1. Overview
20.1.2.2. Product Portfolio
20.1.2.3. Profitability by Market Segments
20.1.2.4. Sales Footprint
20.1.2.5. Strategy Overview
20.1.2.5.1. Marketing Strategy
20.1.3. International Business Machines Corporation
20.1.3.1. Overview
20.1.3.2. Product Portfolio
20.1.3.3. Profitability by Market Segments
20.1.3.4. Sales Footprint
20.1.3.5. Strategy Overview
20.1.3.5.1. Marketing Strategy
20.1.4. L3Harris Technologies Inc.
20.1.4.1. Overview
20.1.4.2. Product Portfolio
20.1.4.3. Profitability by Market Segments
20.1.4.4. Sales Footprint
20.1.4.5. Strategy Overview
20.1.4.5.1. Marketing Strategy
20.1.5. Lockheed Martin Corporation
20.1.5.1. Overview
20.1.5.2. Product Portfolio
20.1.5.3. Profitability by Market Segments
20.1.5.4. Sales Footprint
20.1.5.5. Strategy Overview
20.1.5.5.1. Marketing Strategy
20.1.6. Northrop Grumman Corporation
20.1.6.1. Overview
20.1.6.2. Product Portfolio
20.1.6.3. Profitability by Market Segments
20.1.6.4. Sales Footprint
20.1.6.5. Strategy Overview
20.1.6.5.1. Marketing Strategy
20.1.7. Rafael Advanced Defense Systems
20.1.7.1. Overview
20.1.7.2. Product Portfolio
20.1.7.3. Profitability by Market Segments
20.1.7.4. Sales Footprint
20.1.7.5. Strategy Overview
20.1.7.5.1. Marketing Strategy
20.1.8. Raytheon Technologies Corporation
20.1.8.1. Overview
20.1.8.2. Product Portfolio
20.1.8.3. Profitability by Market Segments
20.1.8.4. Sales Footprint
20.1.8.5. Strategy Overview
20.1.8.5.1. Marketing Strategy
20.1.9. SparkCognition
20.1.9.1. Overview
20.1.9.2. Product Portfolio
20.1.9.3. Profitability by Market Segments
20.1.9.4. Sales Footprint
20.1.9.5. Strategy Overview
20.1.9.5.1. Marketing Strategy
20.1.10. Thales Group
20.1.10.1. Overview
20.1.10.2. Product Portfolio
20.1.10.3. Profitability by Market Segments
20.1.10.4. Sales Footprint
20.1.10.5. Strategy Overview
20.1.10.5.1. Marketing Strategy
21. Assumptions & Acronyms Used
22. Research Methodology
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Artificial Intelligence in Military Market
