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
