Artificial Intelligence in Military Market by Offering (Software, Hardware, Services), Technology (Machine Learning, Computer vision), Application, Installation Type, Platform, Region - Global Forecast to 2025
[278 Pages Report] The Artificial Intelligence in military market is estimated at USD 6.3 billion in 2020 and is projected to reach USD 11.6 billion by 2025, at a CAGR of 13.1% during the forecast period. Based on technology, the machine learning segment is expected to lead the market from 2020 to 2025. The growth of the market for artificial intelligence in the military sector can be attributed to the increasing investment in the development of AI-integrated systems and the rising adoption of cloud-based applications and high-performance computers. However, protectionist policies and lack of standard protocols, leading to limited access to military platforms, are acting as a restraint to the growth of this market.
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COVID-19 Impact on the Artificial Intelligence in Military Market
Even though the COVID-19 pandemic has caused a large-scale impact on economies across the world, leading to many challenges, the Artificial Intelligence in military market has continued to expand. This can be seen from both, the demand and supply sides, as leading manufacturers like Lockheed Martin (US), IBM (US), Northrop Grumman (US), and others continue to invest heavily in developing AI capabilities, and governments continue to invest significantly in securing these systems. This can be attributed to governments realizing the potential of improved capabilities that these AI systems offer in terms of defense arsenal as the global AI arms race tightens.
However, even though the development of AI technology witnessed expansion, the overall building of the AI systems saw a hit. This was a result of the shortage of raw materials due to disruptions in the supply chain. Resuming manufacturing and demand depends on the level of COVID-19 exposure a country is facing, the level at which manufacturing operations are running, and import-export regulations, among other factors. Although companies may still be taking in orders, delivery schedules might not be fixed.
AI in Military warfare Market Dynamics
Driver: Increased government spending on defense to improve AI capabilities
According to Stockholm International Peace Research Institute (SIPRI), the global military expenditure in 2019 was estimated at USD 1917 billion, an increase of 3.6% as compared to the 2018 spending. This can be due to the rise in conflicts between countries, leading to the strengthening of their defense forces. For instance, 2020 witnessed over nine major international conflicts, including the Syrian Civil War, the Saudi Arabia-Yemen conflict, US-Iran tensions, and India-China tensions.
Such conflicts result in increased procurement of advanced AI-enabled weapon systems and the incorporation of newer technologies into existing systems to make them more efficient.
Many governments have established special departments or agencies dedicated to planning, initiating, and integrating AI capabilities into the existing equipment as well as developing new capabilities. The National Science and Technology Council (US), the Strategic Council for AI Technologies (Japan), and the AI Council (UK) are some such agencies. For instance, in January 2021, the UK AI Council presented a roadmap to the UK Government recommending it to scale up and make sustainable public sector investment in AI and also invest in The Alan Turing Institute (UK), fostering development to gain a strategic leadership for the UK in AI research.
The UK Government’s Research & Development Roadmap of July 2020 also includes similar projects. This report states that the Defence and Security Accelerator (DASA) is working closely with the Institute for Security Science and Technology (ISST) at Imperial’s White City Campus (UK) to bring together government, academia, industry, and small & medium-sized enterprises (SMEs) to look at developing the next generation of solutions for security and defense problems.
Restraints: Concerns over possibility of errors in complex combat situations
With various governments adopting AI-powered systems for surveillance and automation, concerns are being raised, stating that human control over robots is necessary to ensure control and humanitarian protection. There is also concern among humanitarian organizations like Human Rights Watch regarding whether governments are secretly developing “Automated Killer Robots” to top the AI arms race. This compels governments to publicly declare their current capabilities and refrain from developing autonomous weapons and fully automated robots, as these will be incapable of meeting the standards of International Humanitarian Law.
Additionally, the possibility of errors is also high with AI systems. Since they make quick decisions, they may not be able to adapt to the inevitable complexities of war. As a result, these systems might not accurately distinguish between combatants and non-combatants or threats and system anomalies and ultimately be less accurate and precise than human operators. These problems could be magnified if systems are fielded before being adequately tested or if adversaries succeed in spoofing or hacking into them. These concerns are restraining market growth.
Opportunitie: Incorporation of Quantum Computing in AI
A quantum computer works on phenomena such as “superposition” and “entanglement.” Through these computational advantages, a quantum computer can outperform any modern classical computer. For instance, Google recently reported that it developed a quantum processor, “Sycamore,” that has demonstrated the ability to solve a complex mathematical problem in 200 seconds, while the same results will only be obtained in 10,000 years using the most advanced supercomputer available today.
This power of quantum computing can also be introduced in AI systems. This will supercharge the AI systems that now depend on binary-based classical computing and enhance their capabilities. For instance, AI can crunch through a larger data set and learn from it to give a better model and, thus, more accurate predictions. This can have various applications in the defense industry for security and privacy. Having the ability to process larger datasets, the information can be processed much quicker locally rather than depending on the cloud. For instance, data from all sensors attached in an autonomous Ai-powered tank can be processed quickly and decisions can be made faster. Quantum computing will play a huge role in cybersecurity, as this will power up the systems for faster detection of threats and take necessary countermeasures. This presents significant opportunities for the Artificial Intelligence in military market.
Challenges: Absence of backward analysis
Research in artificial intelligence and machine learning has led to the development of advanced applications with the ability to perceive, learn, decide, and act of their own accord. To fully exploit their capabilities, it is vital to understand how the applications arrived at a certain conclusion. In other words, an AI system should explain why it has taken certain decisions or actions. Current AI technologies lack in this. Hence, the development of systems that can explain their rationale is underway under the Explainable AI (XAI) program of the Defense Advanced Research Projects Agency (DARPA) by companies such as Raytheon and Charles River Analytics. However, it may be a while before such systems are fully developed and functional. Thus, the current inability to completely predict and ascertain the reasoning that AI uses to arrive at a conclusion poses risks to military applications and thus serves as a challenge to the market.
Increasing Threats of Cyber Attacks is driving the growth of the defense applications that leverages AI
The defense industry across countries is constantly under threat of cyberattacks. For instance, in September 2019, SolarWinds, a US technology company, was hacked, revealing sensitive data of many hospitals, universities, and US government agencies. Another notable incident was in October 2020, when the FBI and the US Cyber Command announced that a North Korean group had hacked think tanks, individual experts, and government entities of the US, Japan, and South Korea to illegally obtain intelligence, including that on nuclear policies.
Current cybersecurity technology falls short in terms of tackling advanced ransomware and spyware threats. The above mentioned SolarWinds hack was revealed when FireEye, a cybersecurity provider, was probing one of its own hacks. Such incidents indicate the increasing importance of having advanced cybersecurity capabilities. Artificial intelligence-based cybersecurity solutions that can be trained to independently gather data from various sources, analyze the data, correlate it to the signals indicating cyberattacks, and take relevant actions, can be deployed.
Based on platform, the space segment of the Artificial Intelligence in military market is projected to grow at the highest CAGR during the forecast period
Based on platform, the space segment of the AI in military market is projected to grow at the highest CAGR during the forecast period. The space AI segment comprises CubeSat and satellites. Artificial intelligence systems for space platforms include various satellite subsystems that form the backbone of different communication systems. The integration of AI with space platforms facilitates effective communication between spacecraft and ground stations.
Software segment of the Artificial Intelligence in Military market by offering is projected to witness the highest CAGR during the forecast period
Based on offering, the Software segment is projected to witness the highest CAGR during the forecast period. Technological advances in the field of AI have resulted in the development of advanced AI software and related software development kits. AI software incorporated in computer systems is responsible for carrying out complex operations. It synthesizes the data received from hardware systems and processes it in an AI system to generate an intelligent response. Software segment is projected to witness the highest CAGR owing to the significance of AI software in strengthening the IT framework to prevent incidents of a security breach.
The North America market is projected to contribute the largest share from 2020 to 2025 in the Artificial Intelligence in Military market
The US and Canada are key countries considered for market analysis in the North American region. This region is expected to lead the market from 2020 to 2025, owing to increased investments in AI technologies by countries in this region. This market is led by the US, which is increasingly investing in AI systems to maintain its combat superiority and overcome the risk of potential threats on computer networks. The US plans to increase its spending on AI in military to gain a competitive edge over other countries.
The North America US is recognized as one of the key manufacturers, exporters, and users of AI systems worldwide and is known to have the strongest AI capabilities. Key manufacturers of Ai systems in the US include Lockheed Martin, Northrop Grumman, L3Harris Technologies, Inc., and Raytheon. The new defense strategy of the US indicates an increase in Ai spending to include advanced capabilities in existing defense systems of the US Army to counter incoming threats.
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Key Market Players
The Artificial Intelligence in Military market is dominated by a few globally established players such as BAE Systems Plc. (UK), Northrop Grumman Corporation (US), Raytheon Technologies Corporation (US), Lockheed Martin Corporation (US), Thales Group (US), L3Harris Technologies, Inc. (US), IBM (US) and Rafael Advanced Defense Systems (Israel), among others, are the key manufacturers that secured AI in Military in the last few years. Major focus was given to the development of new products and collaboration among the players due to the changing requirements of armed forces across the world.
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Report Metric |
Details |
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Market size available for years |
2016–2025 |
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Base year considered |
2019 |
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Forecast period |
2020-2025 |
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Forecast units |
Value (USD Million) |
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Segments covered |
By Offering, By Platform, By Applicationt, By Technology, By Installation Type, By Region |
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Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
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Companies covered |
BAE Systems Plc. (UK), Northrop Grumman Corporation (US), Raytheon Technologies Corporation (US), Lockheed Martin Corporation (US), Thales Group (US), L3Harris Technologies, Inc. (US), Rafael Advanced Defense Systems (Israel), and IBM (US) are some of the major players in Ai in Military market. (25 Companies) |
The study categorizes the AI in Military market based on offering, platform, applicationt, technology, installation type, and region
Artificial Intelligence In Military Market, By Offering
- Hardware
- Processor
- Memory
- Network
- Software
- AI Solutions
- On-Premises
- Cloud
- AI Platforms
- AI Solutions
- Services
- Deployment & Integration
- Upgrade & Maintenance
- Software Support
- Others (Consulting & Training, And Cloud Services)
Artificial Intelligence In Military Market, By Application
- Warfare Platform
- Cyber Security
- Logistics & Transportation
- Surveillance & Situational Awareness
- Command & Control
- Battlefield Healthcare
- Simulation & Training
- Information Processing
- Threat Detection
- uclear, biological, and chemical (NBC) scenario monitoring, ammunition testing, fund allocation, manpower management, predictive maintenance, navigation, communications, and fire monitoring)
Artificial Intelligence In Military Market, By Technology
- Machine Learning
- Deep Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Generative Adversarial Networks
- Others (Statistical Learning, Ensemble Learning)
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
- Intelligent Virtual Agent (Iva) /Virtual Agents
- Others (Speech Recognition And Emotion Recognition)
Artificial Intelligence In Military Market, By Platform
- Land
- Military Fighting Vehicles (Mfvs)
- Unmanned Ground Vehicles (Ugvs)
- Weapon Systems
- Headquarter And Command Centres
- Dismounted Soldier Systems
- Land Robots
- Naval
- Naval Ships
- Submarines
- Unmanned Maritime Vehicles (Umvs)
- Airborne
- Fighter Aircraft
- Helicopter
- Special Mission Aircraft
- Unmanned Aerial Vehicles (Uavs)
- Space
- Cubesat
- Satellites
Artificial Intelligence In Military Market, By Installation
- New Procurement
- Upgradation
Artificial Intelligence In Military Market, By Region
- North America
- US
- Canada
- Europe
- UK
- France
- Germany
- Russia
- Italy
- Asia Pacific
- China
- India
- Japan
- South Korea
- Australia
- Middle East & Africa
- Israel
- Turkey
- Saudi Arabia
- South Africa
- Latin America
- Brazil
- Mexico
Recent Developments
- In January 2021, SoarTech has been awarded a contract from the US Air Force to develop automatic speech recognition and cognitive agent training capability in support of the Air Force Warning and Control System (AWACS) mission.
- In December 2020, Boeing (US) completed the testing of five high-performance autonomous surrogate jets with capabilities to ‘teach’ the aircraft’s brain to understand, analyze, and communicate with other platforms during missions.
- In December 2020, CACI International Inc. acquired Ascent Vision Technologies, LLC (AVT) to support multi-domain intelligence, surveillance, and reconnaissance (ISR), air defense, unmanned aircraft system (UAS), and counter-unmanned aircraft system (c-UAS) operations.
- In December 2020, RAFAEL Advanced Defense Systems Ltd (Israel) secured a USD 200 million contract from a leading Asian country for its SPICE 2000 air-to-surface systems, Spike ATGMs, tactical, electro-optically guided missiles, and advanced communication systems.
- In November 2020, Raytheon partnered with C3.ai to develop artificial intelligence solutions for aerospace and defense missions for government customers, including the US Air Force and the intelligence community.
- In November 2020, IBM (US) acquired Instana (US) to develop capabilities to use AI to better manage the complexity of modern applications that span the hybrid cloud landscape and strengthen cybersecurity.
Frequently Asked Questions (FAQ):
Which are the major companies in the AI in Military market? What are their major strategies to strengthen their market presence?
Some of the key players in the AI in Military market are BAE Systems Plc. (UK), Northrop Grumman Corporation (US), Raytheon Technologies Corporation (US), Lockheed Martin Corporation (US), Thales Group (US), L3Harris Technologies, Inc. (US), IBM (US) and Rafael Advanced Defense Systems (Israel), among others, are the key manufacturers that secured AI in military contracts in the last few years. Contracts was the key strategies adopted by these companies to strengthen their market presence.
What are the drivers and opportunities for the AI in military market?
The market for AI in military has grown significantly across the globe, and especially in North America and Asia Pacific, where the rise in defense expenditures of leading economies such as US, Canada, China, India, South Korea, and Japan are expected to offer several opportunities for Ai system manufacturers. The increasing R&D activities to develop new AI capabilities is expected to propel the growth of the market across the globe.
Other drivers include development of AI Chips that mainly act as accelerators in artificial neural network-based applications that use machine learning to replicate the human brain. Also improved adoption of C4ISR powered by AI that uses machine learning to identify and classify tanks and other vehicles also drive this market.
North America and Europe are key exporters of Ai in military equipment as most key manufacturers and leading players in this market are based in these regions. Some of these manufacturers are BAE Systems Plc. (UK), Lockheed Martin Corporation (US), and Raytheon Technologies Corporation (US).
Which region is expected to grow at the highest rate in the next five years?
The market in North America is projected to grow at the highest CAGR of from 2020 to 2025, showcasing strong demand from defense forces in the region. In this region, the US, with its strong economy and its defense policies, is recognized as one of the key manufacturers, exporters, and users of AI in military systems worldwide. The new defense strategy of the US indicates an increase in AI spending to include advanced capabilities in existing defense systems of the US Army to counter incoming threats. US also has a large number of key manufacturers and integrators of AI in military systems.
Which application of AI in Military is expected to witness significant growth in the coming years?
The Warfare platform segment is projected to grow at the highest CAGR during the forecast period. Among warfare platforms, electronic warfare (EW) is seen to be widely adopted. Incorporating artificial intelligence in EW platforms improves situational awareness and reduces reaction time, helping it to improve its efficiency.
Which are the key technology trends prevailing in the AI in Military market?
Some of the key trends include need of quantum ai for computation of machine learning algorithms. Quantum AI is the use of quantum computing for the computation of machine learning algorithms to achieve results that are not possible with current computers. It can be used to rapidly train the machine learning models and make optimized algorithms. These find significant application, especially in the military segment. For instance, Quantum AI can boost cybersecurity by processing larger datasets and recognizing threats faster.
Furthermore, development of Internet of Battleground Things (IoBT) is also boosting the adoption of AI in military. IoBT increases situational awareness and risk assessment and reduces response time. For this, soldiers, military equipment and other unmanned vehicles have sensors that continuously collect data. This data is proceeded to obtain useful intelligence. By introducing AI capabilities, more advanced and quicker insights can be obtained. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 33)
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
FIGURE 1 AI IN MILITARY MARKET SEGMENTATION
1.3.1 REGIONAL SCOPE
1.3.2 YEARS CONSIDERED FOR THE STUDY
1.4 CURRENCY
TABLE 1 USD EXCHANGE RATES
1.5 MARKET STAKEHOLDERS
1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 38)
2.1 RESEARCH DATA
FIGURE 2 RESEARCH FLOW
FIGURE 3 RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 Secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Primary sources
2.1.2.2 Key data from primary sources
2.1.2.3 Key data from primary sources
2.1.2.4 Breakdown of primaries
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
2.2 FACTOR ANALYSIS
2.2.1 INTRODUCTION
2.2.2 DEMAND-SIDE INDICATORS
2.2.2.1 Increase in conflicts and disputes globally
2.2.2.2 Rise in defense budgets of emerging economies
FIGURE 5 TOP 15 COUNTRIES IN TERMS OF MILITARY EXPENDITURE, 2019
2.3 MARKET SIZE ESTIMATION
2.3.1 MARKET DEFINITION & SCOPE
2.3.1.1 By platform
2.3.1.2 By application
2.3.1.3 By offerings
2.3.1.4 By installation type
2.3.1.5 By technology
2.4 RESEARCH APPROACH & METHODOLOGY
2.4.1 BOTTOM-UP APPROACH
2.4.1.1 COVID-19 impact on market
2.4.1.2 AI in military market approach -1
2.4.1.3 AI in military market approach -2
2.4.1.4 AI in military market approach -3
2.4.1.5 AI in military market size, by segment
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
2.4.2 TOP-DOWN APPROACH
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.5 MARKET BREAKDOWN & DATA TRIANGULATION
FIGURE 8 DATA TRIANGULATION
2.6 GROWTH RATE ASSUMPTIONS
2.7 RESEARCH ASSUMPTIONS
FIGURE 9 ASSUMPTIONS FOR THE RESEARCH STUDY
2.8 RISKS
3 EXECUTIVE SUMMARY (Page No. - 52)
FIGURE 10 MACHINE LEARNING SEGMENT TO DOMINATE MARKET FROM 2020 TO 2025
FIGURE 11 SOFTWARE OFFERINGS TO ACCOUNT FOR LARGEST SHARE OF MARKET BY 2025
FIGURE 12 SPACE-BASED AI IN MILITARY TO GROW AT HIGHEST RATE DURING FORECAST PERIOD
FIGURE 13 MARKET IN NORTH AMERICA TO GROW FASTEST DURING FORECAST PERIOD
4 PREMIUM INSIGHTS (Page No. - 56)
4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN AI IN MILITARY MARKET
FIGURE 14 INCREASING DEMAND FOR AI IN DEFENSE AND INTELLIGENCE DRIVES MARKET GROWTH
4.2 NORTH AMERICA AI IN MILITARY MARKET, BY PLATFORM
FIGURE 15 AIRBORNE PLATFORM TO LEAD NORTH AMERICAN MARKET DURING FORECAST PERIOD
4.3 ASIA PACIFIC AI IN MILITARY MARKET, BY TECHNOLOGY
FIGURE 16 MACHINE LEARNING SEGMENT TO GROW AT HIGHEST CAGR IN ASIA PACIFIC
4.4 AI IN MILITARY MARKET, BY APPLICATION
FIGURE 17 WARFARE PLATFORM TO DOMINATE AI IN MILITARY MARKET BY 2025
4.5 AI IN MILITARY MARKET, BY REGION
FIGURE 18 NORTH AMERICA TO DOMINATE AI IN MILITARY MARKET BY 2025
4.6 CHINA: AI IN MILITARY MARKET, BY PLATFORM
FIGURE 19 AIRBORNE SEGMENT TO DOMINATE AI IN MILITARY MARKET IN CHINA BY 2025
5 MARKET OVERVIEW (Page No. - 60)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 20 ARTIFICIAL INTELLIGENCE IN MILITARY: MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increased government spending on defense to improve AI capabilities
TABLE 2 DEFENSE EXPENDITURE OF MAJOR COUNTRIES (USD MILLION)
5.2.1.2 Development of specialized AI Chips
5.2.1.3 Growing focus on advanced C4ISR capabilities
5.2.1.4 Increasing adoption of AI in unmanned vehicles
5.2.1.5 Increasing threats of cyber attacks
TABLE 3 DEVELOPMENTS IN AI-POWERED CYBERSECURITY
5.2.2 RESTRAINTS
5.2.2.1 Concerns over possibility of errors in complex combat situations
5.2.2.2 Lack of standards and protocols for use of AI in military applications
5.2.3 OPPORTUNITIES
5.2.3.1 Incorporation of Quantum Computing in AI
5.2.3.2 Increasing adoption of AI in predictive maintenance in military platforms
5.2.4 CHALLENGES
5.2.4.1 Absence of backward analysis
5.2.4.2 Lack of trained personnel
5.2.4.3 Sensitive nature of military data
5.3 VALUE CHAIN ANALYSIS OF AI IN MILITARY MARKET
FIGURE 21 VALUE CHAIN ANALYSIS
FIGURE 22 AI IN MILITARY MARKET ECOSYSTEM
5.4 TRENDS/DISRUPTION IMPACTING CUSTOMER BUSINESS
5.4.1 REVENUE SHIFT AND NEW REVENUE POCKETS FOR AI IN MILITARY SYSTEM MANUFACTURERS
FIGURE 23 REVENUE SHIFT IN AI IN MILITARY MARKET
5.5 IMPACT OF COVID-19 ON AI IN MILITARY MARKET
FIGURE 24 IMPACT OF COVID-19 ON AI IN MILITARY MARKET
5.6 RANGES AND SCENARIOS
FIGURE 25 IMPACT OF COVID-19 ON AI IN MILITARY MARKET: 3 GLOBAL SCENARIOS
5.7 PORTER’S FIVE FORCES ANALYSIS
TABLE 4 KEY AI IN MILITARY MARKET: PORTER’S FIVE FORCE ANALYSIS
5.7.1 THREAT OF NEW ENTRANTS
5.7.2 THREAT OF SUBSTITUTES
5.7.3 BARGAINING POWER OF SUPPLIERS
5.7.4 BARGAINING POWER OF BUYERS
5.7.5 INTENSITY OF COMPETITIVE RIVALRY
5.8 REGULATORY LANDSCAPE
5.9 TRADE ANALYSIS
TABLE 5 STORAGE UNITS FOR AUTOMATIC DATA-PROCESSING MACHINES: COUNTRY-WISE IMPORTS, 2018-2019 (USD THOUSAND)
TABLE 6 STORAGE UNITS FOR AUTOMATIC DATA-PROCESSING MACHINES: COUNTRY-WISE EXPORTS, 2018-2019 (USD THOUSAND)
TABLE 7 ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS: COUNTRY-WISE IMPORTS, 2018-2019 (USD THOUSAND)
TABLE 8 ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS: COUNTRY-WISE EXPORTS, 2018-2019 (USD THOUSAND)
6 INDUSTRY TRENDS (Page No. - 78)
6.1 INTRODUCTION
6.2 KEY TECHNOLOGICAL TRENDS IN AI IN MILITARY MARKET
6.2.1 NEED OF QUANTUM AI FOR COMPUTATION OF MACHINE LEARNING ALGORITHMS
6.2.2 5G NETWORKING FOR FASTER DATA TRANSFER
6.2.3 INTERNET OF BATTLEFIELD THINGS (IOBT)
6.2.4 BLOCKCHAIN
6.2.5 ADVANCED ANALYTICS
6.2.6 BIG DATA ANALYTICS
6.2.7 ARTIFICIAL NEURAL NETWORK
6.3 USE CASE ANALYSIS: AI IN MILITARY MARKET
6.3.1 DEPLOYMENT OF A PICTORIAL TRAINING TOOL TO IMPROVE BATTLEFIELD FIRST-AID SKILLS FROM CHARLES RIVER ANALYTICS
6.3.2 C3 AI READINESS: USE OF AI PREDICTIVE MAINTENANCE IN US AIR FORCE
6.3.3 HAVE RAIDER: DEPLOYED TO DEMONSTRATE MANNED-UNMANNED TEAMING
6.4 TRADE ANALYSIS
6.5 IMPACT OF MEGATRENDS
6.6 INNOVATION & PATENT REGISTRATIONS
TABLE 9 INNOVATION & PATENT REGISTRATIONS (2019-2021)
7 AI IN MILITARY MARKET, BY OFFERING (Page No. - 88)
7.1 INTRODUCTION
FIGURE 26 SOFTWARE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 10 AI IN MILITARY MARKET SIZE, BY OFFERING, 2016-2019 (USD MILLION)
TABLE 11 AI IN MILITARY MARKET SIZE, BY OFFERING, 2020-2025 (USD MILLION)
7.2 HARDWARE
TABLE 12 HARDWARE: AI IN MILITARY MARKET SIZE, BY COMPONENT, 2020-2025 (USD MILLION)
7.2.1 PROCESSOR
7.2.1.1 DEVELOPMENT OF SPECIALIZED CHIPS PAVE WAY FOR WIDER APPLICATION OF AI IN MILITARY
7.2.2 MEMORY
7.2.2.1 High bandwidth parallel file systems increase efficiency and throughput of memory devices
7.2.3 NETWORK
7.2.3.1 5G network improves connection capabilities
7.3 SOFTWARE
TABLE 13 SOFTWARE: AI IN MILITARY MARKET SIZE, BY TYPE, 2020-2025 (USD MILLION)
7.3.1 AI SOLUTIONS
7.3.1.1 Securonix (US), IBM (US), Darktrace (UK): Major companies developing AI solutions
TABLE 14 SOFTWARE SOLUTIONS: AI IN MILITARY MARKET SIZE, BY TYPE, 2020-2025 (USD MILLION)
7.3.1.1.1 CLOUD
7.3.1.1.2 ON-PREMISE
7.3.2 AI PLATFORMS
7.3.2.1 Demand for intelligent applications and learning algorithms on the rise
7.4 SERVICES
TABLE 15 SERVICES: AI IN MILITARY MARKET SIZE, BY TYPE, 2020-2025 (USD MILLION)
7.4.1 DEPLOYMENT & INTEGRATION
7.4.1.1 Used to create and deploy custom text analytics
7.4.2 UPGRADES & MAINTENANCE
7.4.2.1 Use of predictive maintenance tools boosts segment growth
7.4.3 SOFTWARE SUPPORT
7.4.3.1 Periodic upgradation to improve capabilities drives software support segment
7.4.4 OTHERS
8 AI IN MILITARY MARKET, BY APPLICATION (Page No. - 96)
8.1 INTRODUCTION
FIGURE 27 WARFARE PLATFORMS SEGMENT TO DOMINATE DURING FORECAST PERIOD
TABLE 16 AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016-2019 (USD MILLION)
TABLE 17 AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
8.2 WARFARE PLATFORMS
8.2.1 RISE OF AI IN EW PLATFORMS BOOST SEGMENT GROWTH
TABLE 18 WARFARE PLATFORMS: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.3 CYBERSECURITY
8.3.1 INCREASING CYBER-ATTACKS AND NEED FOR SECURITY DRIVE SEGMENT
TABLE 19 CYBERSECURITY: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.4 LOGISTICS & TRANSPORTATION
8.4.1 INCREASING TACTICAL AND STRATEGIC MILITARY OPERATIONS FUEL SEGMENT GROWTH
TABLE 20 LOGISTICS & TRANSPORTATION: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.5 SURVEILLANCE & SITUATIONAL AWARENESS
8.5.1 EFFICIENCY IN GATHERING ACTIONABLE INTELLIGENCE DRIVES SEGMENT
TABLE 21 SURVEILLANCE & SITUATIONAL AWARENESS: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.6 COMMAND & CONTROL
8.6.1 IMPROVE ABILITY TO GATHER DATA FOR BETTER DECISION MAKING
TABLE 22 COMMAND & CONTROL: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.7 BATTLEFIELD HEALTHCARE
8.7.1 SEGMENT DRIVEN BY NEW CAPABILITIES THAT REDUCE BATTLEFIELD CAUSALITIES
TABLE 23 BATTLEFIELD HEALTHCARE: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.8 SIMULATION & TRAINING
8.8.1 INCREASING INVESTMENTS IN SIMULATION & TRAINING SECTOR DRIVE SEGMENT GROWTH
TABLE 24 SIMULATION & TRAINING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.9 THREAT MONITORING
8.9.1 ADOPTION OF AI IN UAVS TO ASSIST IN THREAT MONITORING ON THE RISE
TABLE 25 THREAT MONITORING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.10 INFORMATION PROCESSING
8.10.1 PROCESSING HUGE VOLUME OF DATA TO GATHER VALUABLE INSIGHTS BOOSTS SEGMENT GROWTH
TABLE 26 INFORMATION PROCESSING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
8.11 OTHERS
8.11.1 NEED TO DECREASE DOWNTIME DRIVES OTHERS SEGMENT
TABLE 27 OTHER APPLICATIONS: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9 AI IN MILITARY MARKET, BY TECHNOLOGY (Page No. - 108)
9.1 INTRODUCTION
FIGURE 28 MACHINE LEARNING TO BE FASTEST-GROWING SEGMENT DURING FORECAST PERIOD
TABLE 28 AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
9.2 MACHINE LEARNING
TABLE 29 MACHINE LEARNING: AI IN MILITARY MARKET SIZE, BY TYPE, 2020–2025 (USD MILLION)
TABLE 30 MACHINE LEARNING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9.2.1 DEEP LEARNING
9.2.1.1 Deep learning increasingly used in facial recognition
9.2.2 SUPERVISED LEARNING
9.2.2.1 Classification and regression: major segments of supervised learning
9.2.3 UNSUPERVISED LEARNING
9.2.3.1 Unsupervised learning integral to identifying patterns in critical data
9.2.4 REINFORCEMENT LEARNING
9.2.4.1 Reinforcement learning used for autonomous decision making in military applications
9.2.5 GENERATIVE ADVERSARIAL LEARNING
9.2.5.1 Surveillance and situational awareness applications widely use generative adversarial learning
9.2.6 OTHERS
9.3 NATURAL LANGUAGE PROCESSING
9.3.1 HIGH DEMAND FOR PROGRAMMING OF COMPUTERS TO PROCESS NATURAL LANGUAGE DATA
TABLE 31 NATURAL LANGUAGE PROCESSING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9.4 CONTEXT-AWARE COMPUTING
9.4.1 USED FOR IMPROVEMENT OF RF SIGNALS AND SITUATIONAL AWARENESS
TABLE 32 CONTEXT-AWARE COMPUTING: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9.5 COMPUTER VISION
9.5.1 INVESTMENTS IN DEVELOPMENT OF HIGH-RESOLUTION 3D GEOSPATIAL INFORMATION SYSTEMS BOOST SEGMENT
TABLE 33 COMPUTER VISION: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9.6 INTELLIGENT VIRTUAL AGENT
9.6.1 DEMAND FOR VIRTUAL IDENTITIES FOR RECRUITMENT, CYBER DEFENSE, AND TRAINING
TABLE 34 INTELLIGENT VIRTUAL AGENT: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
9.7 OTHERS
9.7.1 INCREASE IN ADOPTION OF SPEECH RECOGNITION AND EMOTIONAL RECOGNITION
TABLE 35 OTHER TECHNOLOGIES: AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
10 AI IN MILITARY MARKET, BY PLATFORM (Page No. - 118)
10.1 INTRODUCTION
TABLE 36 AI IN MILITARY PLATFORMS: RECENT DEVELOPMENTS
FIGURE 29 SPACE PLATFORM PROJECTED TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
TABLE 37 AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016-2019 (USD MILLION)
TABLE 38 AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
10.2 AIRBORNE
TABLE 39 AIRBORNE PLATFORM MARKET SIZE FOR AI IN MILITARY, BY AIRCRAFT TYPE, 2020–2025 (USD MILLION)
TABLE 40 AIRBORNE PLATFORM MARKET SIZE FOR AI IN MILITARY, BY REGION, 2020–2025 (USD MILLION)
10.2.1 FIGHTER AIRCRAFT
10.2.1.1 Military modernization programs drive combat fighter segment growth
10.2.2 SPECIAL MISSION AIRCRAFT
10.2.2.1 Increasing tactical and strategic military operations to drive demand for AI in special mission aircraft
10.2.3 HELICOPTERS
10.2.3.1 Use of helicopters with advanced capabilities and high operational range drives segment
10.2.4 UNMANNED AERIAL VEHICLES (UAV)
10.2.4.1 Increasing adoption for ISR and combat applications fuels segment growth
10.3 LAND
TABLE 41 LAND PLATFORM MARKET SIZE FOR AI IN MILITARY, BY TYPE, 2020–2025 (USD MILLION)
TABLE 42 LAND PLATFORM MARKET SIZE FOR AI IN MILITARY, BY REGION, 2020–2025 (USD MILLION)
10.3.1 MILITARY FIGHTING VEHICLES (MFV)
10.3.1.1 Improved capabilities of military vehicles drive segment
10.3.2 UNMANNED GROUND VEHICLES (UGV)
10.3.2.1 Increased adoption of advanced ground vehicles to drive segment
10.3.3 WEAPONS SYSTEMS
10.3.3.1 Increased spending to improve defense capabilities to drive segment
10.3.4 HEADQUARTER & COMMAND CENTERS
10.3.4.1 C5ISR capabilities boost segment growth
10.3.5 DISMOUNTED SOLDIER SYSTEMS
10.3.5.1 Enhanced situational awareness capabilities fuel segment
10.4 NAVAL
TABLE 43 NAVAL PLATFORM MARKET SIZE FOR AI IN MILITARY, BY VESSEL TYPE, 2020–2025 (USD MILLION)
TABLE 44 NAVAL PLATFORM MARKET SIZE FOR AI IN MILITARY, BY REGION, 2020–2025 (USD MILLION)
10.4.1 SHIPS
10.4.1.1 Increasing AI capabilities contributing to segment growth
10.4.2 SUBMARINES
10.4.2.1 Investments to develop advanced submarines leading to demand for AI equipment
10.4.3 UNMANNED MARINE VEHICLES (UMVS)
10.4.3.1 Adoption of UMVs for defense applications supports market growth
10.5 SPACE
10.5.1 NEED TO PREVENT COLLISIONS IN SPACE DRIVES SEGMENT GROWTH
TABLE 45 SPACE PLATFORM MARKET SIZE FOR AI IN MILITARY, BY TYPE, 2020–2025 (USD MILLION)
TABLE 46 SPACE PLATFORM MARKET SIZE FOR AI IN MILITARY, BY REGION, 2020–2025 (USD MILLION)
10.5.2 CUBESAT
10.5.3 SATELLITES
11 AI IN MILITARY MARKET, BY INSTALLATION TYPE (Page No. - 131)
11.1 INTRODUCTION
FIGURE 30 NEW INSTALLATION SEGMENT PROJECTED TO DOMINATE MARKET DURING FORECAST PERIOD
TABLE 47 AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
11.2 NEW INSTALLATION
11.2.1 GROWING DEFENSE EXPENDITURE ON AI-POWERED TOOLS AND SYSTEMS BOOSTS NEW INSTALLATION SEGMENT
TABLE 48 AI IN MILITARY MARKET SIZE FOR NEW INSTALLATION, BY REGION, 2020–2025 (USD MILLION)
11.3 UPGRADATION
11.3.1 DEMAND FOR ENHANCED MILITARY CAPABILITIES DRIVES UPGRADATION OF HARDWARE COMPONENTS AND SOFTWARE MODULES
TABLE 49 AI IN MILITARY MARKET SIZE FOR UPGRADATION, BY REGION, 2020–2025 (USD MILLION)
12 REGIONAL ANALYSIS (Page No. - 135)
12.1 INTRODUCTION
12.2 AI IN MILITARY MARKET: THREE GLOBAL SCENARIOS
FIGURE 31 MARKET IN NORTH AMERICA TO GROW AT HIGHEST CAGR
FIGURE 32 NORTH AMERICA PROJECTED TO DOMINATE MARKET FROM 2020 TO 2025
TABLE 50 MAJOR ONGOING PROGRAMS RELATED TO AI IN MILITARY, 2019-2020
TABLE 51 AI IN MILITARY MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
TABLE 52 AI IN MILITARY MARKET SIZE, BY REGION, 2020–2025 (USD MILLION)
12.3 NORTH AMERICA
12.3.1 COVID-19 IMPACT ON NORTH AMERICA
12.3.2 PESTE ANALYSIS: NORTH AMERICA
FIGURE 33 NORTH AMERICA: AI IN MILITARY MARKET SNAPSHOT
TABLE 53 NORTH AMERICA: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 54 NORTH AMERICA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 55 NORTH AMERICA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 56 NORTH AMERICA: AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
TABLE 57 NORTH AMERICA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.3.3 US
12.3.3.1 Modernizing programs and defense policies increase demand for AI in US military
FIGURE 34 US: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 58 US: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 59 US: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 60 US: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 61 US: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 62 US: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.3.4 CANADA
12.3.4.1 Increasing R&D investment to drive market growth in Canada
FIGURE 35 CANADA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 64 CANADA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 65 CANADA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 66 CANADA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4 EUROPE
12.4.1 COVID-19 IMPACT ON EUROPE
12.4.2 PESTLE ANALYSIS: EUROPE
FIGURE 36 EUROPE: AI IN MILITARY MARKET SNAPSHOT
TABLE 67 EUROPE: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 68 EUROPE: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 69 EUROPE: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 70 EUROPE: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 71 EUROPE: AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
TABLE 72 EUROPE: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.3 UK
12.4.3.1 Modernizing programs expected to drive market in UK
FIGURE 37 UK: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 73 UK: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 74 UK: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 75 UK: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 76 UK: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 77 UK: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.4 FRANCE
12.4.4.1 Technological advancements to drive market in France
FIGURE 38 FRANCE: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 78 FRANCE: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 79 FRANCE: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 80 FRANCE: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 81 FRANCE: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 82 FRANCE: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.5 GERMANY
12.4.5.1 R&D to boost market growth in Germany
FIGURE 39 GERMANY: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 83 GERMANY: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 84 GERMANY: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 85 GERMANY: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 86 GERMANY: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 87 GERMANY: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.6 RUSSIA
12.4.6.1 Need to modernize AI capabilities fuels market in Russia
FIGURE 40 RUSSIA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 88 RUSSIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 89 RUSSIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 90 RUSSIA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 91 RUSSIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 92 RUSSIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.7 ITALY
12.4.7.1 Plans to renew naval fleet expected to propel AI in military market in Italy
FIGURE 41 ITALY: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 93 ITALY: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 94 ITALY: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 95 ITALY: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.4.8 REST OF EUROPE
12.4.8.1 Market in Rest of Europe driven by rising adoption of AI systems
TABLE 96 REST OF EUROPE: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 97 REST OF EUROPE: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 98 REST OF EUROPE: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5 ASIA PACIFIC
12.5.1 COVID-19 IMPACT ON ASIA PACIFIC
12.5.2 PESTLE ANALYSIS: ASIA PACIFIC
FIGURE 42 ASIA PACIFIC: AI IN MILITARY MARKET SNAPSHOT
TABLE 99 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2016–2019 (USD MILLION)
TABLE 100 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 101 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 102 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 103 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
TABLE 104 ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.3 INDIA
12.5.3.1 Ongoing modernization of Indian defense will fuel market growth
FIGURE 43 INDIA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 105 INDIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 106 INDIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 107 INDIA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 108 INDIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 109 INDIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.4 CHINA
12.5.4.1 Increase in R&D expenditure for military equipment boosts market in China
FIGURE 44 CHINA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 110 CHINA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 111 CHINA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 112 CHINA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 113 CHINA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 114 CHINA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.5 JAPAN
12.5.5.1 Need to strengthen combat capabilities boosts market in Japan
FIGURE 45 JAPAN: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 115 JAPAN: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 116 JAPAN: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 117 JAPAN: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 118 JAPAN: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 119 JAPAN: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.6 SOUTH KOREA
12.5.6.1 Vision to be AI powerhouse drives market in South Korea
FIGURE 46 SOUTH KOREA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 120 SOUTH KOREA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 121 SOUTH KOREA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 122 SOUTH KOREA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 123 SOUTH KOREA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 124 SOUTH KOREA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.7 AUSTRALIA
12.5.7.1 Demand for modern AI in military radars with advanced technologies is high in Australia
FIGURE 47 AUSTRALIA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 125 AUSTRALIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 126 AUSTRALIA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 127 AUSTRALIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.5.8 REST OF ASIA PACIFIC
12.5.8.1 Limited local players in Rest of Asia Pacific
TABLE 128 REST OF ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 129 REST OF ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 130 REST OF ASIA PACIFIC: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.6 MIDDLE EAST & AFRICA
12.6.1 COVID-19 IMPACT ON THE MIDDLE EAST & AFRICA
12.6.2 PESTLE ANALYSIS: MIDDLE EAST & AFRICA
FIGURE 48 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SNAPSHOT
TABLE 131 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 132 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 133 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 134 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
TABLE 135 MIDDLE EAST & AFRICA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.6.3 ISRAEL
12.6.3.1 Military modernization programs and development of capabilities of Israel-based defense organizations drive market
FIGURE 49 ISRAEL: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 136 ISRAEL: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2016–2019 (USD MILLION)
TABLE 137 ISRAEL: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 138 ISRAEL: LAND AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 139 ISRAEL: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
TABLE 140 ISRAEL: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.6.4 TURKEY
12.6.4.1 Focus on strengthening defense capability fuels growth of market in Turkey
FIGURE 50 TURKEY: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 141 TURKEY: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 142 TURKEY: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 143 TURKEY: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.6.5 SAUDI ARABIA
12.6.5.1 Need for Cyber-defense boosts market in Saudi Arabia
FIGURE 51 SAUDI ARABIA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 144 SAUDI ARABIA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 145 SAUDI ARABIA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 146 SAUDI ARABIA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.6.6 SOUTH AFRICA
12.6.6.1 Need for new military equipment boosts market in South Africa
FIGURE 52 SOUTH AFRICA: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 147 SOUTH AFRICA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 148 SOUTH AFRICA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 149 SOUTH AFRICA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.7 LATIN AMERICA
12.7.1 COVID-19 IMPACT ON LATIN AMERICA
12.7.2 PESTLE ANALYSIS: LATIN AMERICA
FIGURE 53 LATIN AMERICA: AI IN MILITARY MARKET SNAPSHOT
TABLE 150 LATIN AMERICA: AI IN MILITARY MARKET SIZE, BY COUNTRY, 2020–2025 (USD MILLION)
TABLE 151 LATIN AMERICA: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 152 LATIN AMERICA: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 153 LATIN AMERICA: AI IN MILITARY MARKET SIZE, BY TECHNOLOGY, 2020–2025 (USD MILLION)
TABLE 154 LATIN AMERICA: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.7.3 BRAZIL
12.7.3.1 Modernization of armed forces propels market in Brazil
FIGURE 54 BRAZIL: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 155 BRAZIL: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 156 BRAZIL: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 157 BRAZIL: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
12.7.4 MEXICO
12.7.4.1 Focus on strengthening Mexico’s ISR capabilities on the rise
FIGURE 55 MEXICO: MILITARY SPENDING, 2010–2019 (USD BILLION)
TABLE 158 MEXICO: AI IN MILITARY MARKET SIZE, BY PLATFORM, 2020–2025 (USD MILLION)
TABLE 159 MEXICO: AI IN MILITARY MARKET SIZE, BY INSTALLATION TYPE, 2020–2025 (USD MILLION)
TABLE 160 MEXICO: AI IN MILITARY MARKET SIZE, BY APPLICATION, 2020–2025 (USD MILLION)
13 COMPETITIVE LANDSCAPE (Page No. - 204)
13.1 INTRODUCTION
TABLE 161 COMPANIES ADOPTED CONTRACTS AS KEY GROWTH STRATEGY BETWEEN 2017 AND 2021
13.2 RANKING ANALYSIS OF KEY MARKET PLAYERS, 2019
FIGURE 56 RANKING ANALYSIS OF TOP 5 PLAYERS: AI IN MILITARY MARKET, 2019
13.3 SHARE OF KEY MARKET PLAYERS, 2019
13.4 REVENUE ANALYSIS OF TOP 5 MARKET PLAYERS, 2019
13.5 COMPANY EVALUATION QUADRANT
13.5.1 STAR
13.5.2 EMERGING LEADER
13.5.3 PERVASIVE
13.5.4 PARTICIPANT
FIGURE 57 AI IN MILITARY MARKET COMPETITIVE LEADERSHIP MAPPING, 2019
13.5.5 AI IN MILITARY MARKET COMPETITIVE LEADERSHIP MAPPING (SME)
13.5.5.1 Progressive companies
13.5.5.2 Responsive companies
13.5.5.3 Starting blocks
13.5.5.4 Dynamic companies
FIGURE 58 AI IN MILITARY MARKET (SME) COMPETITIVE LEADERSHIP MAPPING, 2019
13.6 COMPETITIVE SCENARIO
13.6.1 MARKET EVALUATION FRAMEWORK
FIGURE 59 MARKET EVALUATION FRAMEWORK: CONTRACTS OBSERVED TO BE LEADING STRATEGY AMONG TOP PLAYERS IN 2020
13.6.2 NEW PRODUCT LAUNCHES AND DEVELOPMENTS
TABLE 162 NEW PRODUCT LAUNCHES AND DEVELOPMENTS, 2018-2021
13.6.3 CONTRACTS
TABLE 163 CONTRACTS, 2017-2021
13.6.4 ACQUISITIONS/PARTNERSHIPS/JOINT VENTURES/AGREEMENTS/EXPANSIONS
TABLE 164 ACQUISITIONS/PARTNERSHIPS/JOINT VENTURES/AGREEMENTS/ EXPANSIONS, 2017-2021
14 COMPANY PROFILES (Page No. - 220)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View)*
14.1 INTRODUCTION
14.2 KEY PLAYERS
14.2.1 LOCKHEED MARTIN CORPORATION
FIGURE 60 LOCKHEED MARTIN CORPORATION: COMPANY SNAPSHOT
14.2.2 THE BOEING COMPANY
FIGURE 61 THE BOEING COMPANY: COMPANY SNAPSHOT
14.2.3 GENERAL DYNAMICS CORPORATION
FIGURE 62 GENERAL DYNAMICS CORPORATION: COMPANY SNAPSHOT
14.2.4 RAFAEL ADVANCED DEFENSE SYSTEMS LTD.
14.2.5 NORTHROP GRUMMAN CORPORATION
FIGURE 63 NORTHROP GRUMMAN CORPORATION: COMPANY SNAPSHOT
14.2.6 THALES GROUP
FIGURE 64 THALES GROUP: COMPANY SNAPSHOT
14.2.7 RAYTHEON TECHNOLOGIES CORPORATION
FIGURE 65 RAYTHEON TECHNOLOGIES CORPORATION: COMPANY SNAPSHOT
14.2.8 BAE SYSTEMS PLC
FIGURE 66 BAE SYSTEMS PLC: COMPANY SNAPSHOT
14.2.9 INTERNATIONAL BUSINESS MACHINES CORP. (IBM)
FIGURE 67 IBM: COMPANY SNAPSHOT
14.2.10 CHARLES RIVER ANALYTICS
14.2.11 CACI INTERNATIONAL INC.
FIGURE 68 CACI INTERNATIONAL INC.: COMPANY SNAPSHOT
14.2.12 SHIELD AI
14.2.13 SCIENCE APPLICATIONS INTERNATIONAL CORP. (SAIC)
FIGURE 69 SCIENCE APPLICATIONS INTERNATIONAL CORP.: COMPANY SNAPSHOT
14.2.14 SAAB AB
FIGURE 70 SAAB AB: COMPANY SNAPSHOT
14.2.15 NVIDIA CORPORATION
FIGURE 71 NVIDIA CORPORATION: COMPANY SNAPSHOT
14.2.16 LEONARDO S.P.A (LEONARDO)
FIGURE 72 LEONARDO S.P.A.: COMPANY SNAPSHOT
14.2.17 SOAR TECHNOLOGIES INC.
14.2.18 L3HARRIS TECHNOLOGIES, INC.
FIGURE 73 L3HARRIS TECHNOLOGIES, INC.: COMPANY SNAPSHOT
14.2.19 RHEINMETALL AG
FIGURE 74 RHEINMETALL AG: COMPANY SNAPSHOT
14.2.20 SPARKCOGNITION INC
14.2.21 LEIDOS HOLDINGS INC. (LEIDOS)
FIGURE 75 LEIDOS HOLDINGS INC.: COMPANY SNAPSHOT
14.2.22 SAFRAN SA
FIGURE 76 SAFRAN SA: COMPANY SNAPSHOT
14.2.23 HONEYWELL INTERNATIONAL INC.
FIGURE 77 HONEYWELL INTERNATIONAL INC.: COMPANY SNAPSHOT
14.2.24 DARKTRACE LIMITED
14.2.25 SZ DJI TECHNOLOGY
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
15 APPENDIX (Page No. - 272)
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The study involved four major activities in estimating the current size of the Artificial Intelligencin Military Market. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
Secondary Research
The share of companies in the Ai in military market was determined using secondary data made available through paid and unpaid sources, and by analyzing the product portfolio of major companies operating in the market. These companies were rated based on the performance and quality of their products. Data points were further validated by primary sources.
Secondary sources referred to for this research study on the AI in military market included government sources such as the US Department of Defense (DoD), Trade Statistics for International Business Development, the US Department of Army (DoA), the UN DATABASE, the World Bank Database, and defense budgets of various countries; corporate filings such as annual reports, investor presentations, and financial statements of trade, business, and professional associations. Secondary data was collected and analyzed to arrive at the overall size of the market, which was further validated by primary respondents.
Primary Research
Extensive primary research was conducted after obtaining information about the current scenario of the Artificial Intelligenc in military market through secondary research. Several primary interviews were conducted with market experts from both, the demand and supply sides across North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. Primary data was collected through questionnaires, emails, and telephonic interviews.
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Market Size Estimation
- The top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligencin military market.
The research methodology used to estimate the market size also includes the following details.
- Key players in the industry and markets were identified through secondary research, and their market share was determined through primary and secondary research. This included an extensive study of annual and financial reports of top market players and interviews of CEOs, directors, and marketing executives.
- All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources.
- All possible parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data.
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Data Triangulation
After arriving at the overall market size from the market size estimation process explained above, the total market was split into several segments and subsegments. In order to complete the overall market engineering process and arrive at the exact statistics for market segments and subsegments, the data triangulation and market breakdown procedures explained below were implemented, wherever applicable. The data was triangulated by studying various factors and trends from both, the demand and supply sides. Along with this, the market size was validated using both, the top-down and bottom-up approaches.
The following figure indicates the market breakdown structure and the data triangulation procedure implemented in the market engineering process used in this report.
Report Objectives
- To analyze the artificial intelligence (AI) in military market and provide projections for it from 2020 to 2025
- To define, describe, and forecast the size of the market based on offering, application, technology, platform, installation type, along with a regional analysis
- To understand the market structure by identifying its various subsegments
- To provide in-depth market intelligence regarding the dynamics (drivers, restraints, opportunities, and challenges) and major factors that influence the growth of the market
- To analyze opportunities in the market for stakeholders by identifying key trends
- To forecast the size of various segments of the market with respect to major countries, such as the US, China, the UK, Saudi Arabia, Germany, France, Russia, India, Japan, South Korea, and Israel, among others
- To strategically analyze micromarkets with respect to individual growth trends, future prospects, and their contribution to the market for artificial intelligence in military
- To provide a detailed competitive landscape of the market, along with an analysis of the business and corporate strategies adopted by key market players
- To analyze competitive developments, such as contracts, acquisitions, partnerships, expansions, and new product developments, undertaken by key players in the market
- To strategically profile key market players and comprehensively analyze their core competencies
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Growth opportunities and latent adjacency in Artificial Intelligence in Military Market