Artificial Intelligence (AI) in Military Market

Artificial Intelligence (AI) in Military Market Size, Share and Industry Growth Analysis Report by Offering (Software, Hardware, Services), Technology (Machine Learning, Natural Language Processing), Platform (Airborne, Land, Space), Application, Installation Type, Geography - Global Growth Driver and Industry Forecast to 2028

Report Code: AS 6116 May, 2023, by marketsandmarkets.com

[270 Pages Report] The Artificial Intelligence (AI) in Military Market is estimated to be US$ 9.2 billion in 2023 and is projected to reach US$ 38.8 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 33.3% from 2023 to 2038. The Artificial Intelligence (AI) in Military Industry is driven by factors such as rising focus on development of high-precision military laser systems.

Artificial Intelligence (AI) in Military Market

Artificial Intelligence (AI) in Military Market

Artificial Intelligence (AI) in Military Market Forecast to 2028

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AI in Military Market Dynamics:

Drivers: Increase Investments in Development of AI-Enabled Solution to Strengthen Military Capabilities

The development of autonomous military systems drives the adoption of AI in the military market. The modern AI-enabled system helps to enhance the efficiency of military systems and strengthen their capabilities in Warfield. Therefore, the defense forces of leading countries have increased their defense spending to boost the deployment of AI on military platforms. According to a report by Stockholm International Peace Research Institute (SIPRI) in April 2023, the US, Russia, China, India, and Saudi Arabia collectively accounted for 63% of defense expenditure in 2022. Global military spending grew by 3.7% in 2022 and reached UD$ 2,240.0 billion. Nine major international conflicts have occurred in recent years, including the Russia-Ukraine war, the Saudi Arabia-Yemen conflict, the Syrian Civil War, US-Iran tensions, the India-China tensions, and Armenia-Azerbaijan border conflict. 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. In addition, in April 2021, eight European North Atlantic Treaty Organization (NATO) members met the 2021 alliance’s goal of allocating at least 2% of their GDP to armed forces. The following table indicates the defense expenditures of major countries during 2020-2022.

Restraints: Lack of Protocols and Standards for Use of AI in Military Applications

The development, management, and successful implementation of AI systems require certain protocols. Presently, since only a few countries are using AI in the military arena, there are very few standards and protocols for their use.

As most AI capabilities are being developed by private companies, there is a lack of co-operation between governments and companies in developing these technologies. This is because companies are reluctant to share their intellectual property with the government, as there are no standard regulations. They also face complexities in defense acquisition processes and the lengthy and complicated legal framework involved, and thus, many companies have refused to do business with the US Department of Defense (DoD). Such factors indicate the lack of proper standards and protocol for the use of AI in military applications, which poses a restraint to market growth.

Opportunities: 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 AI in military market.

Challenges: Concerns Related to Data Privacy and Security

The integration of AI with warfare systems requires data that can be used for training and building reliable AI programs. This data is crucial to develop and enhance AI systems. However, governments are reluctant to share military data with private companies owing to its sensitive nature as it may jeopardize the security of critical mission-based information. Several AI-enabled autonomous systems require encrypted communication and data transfer links, and as data transmitted from these systems is vulnerable to cyber-attacks, governments are more reluctant. With the number of sophisticated cyberattacks on the rise, governments are even more skeptical about entrusting their sensitive data to AI-enabled systems.

This, in effect, creates a vicious cycle: one that prevents AI systems from developing due to the unavailability of data and digital security compromises due to subsequently untrained AI systems. Thus, concerns related to the sharing of sensitive military data are acting as a key challenge to the growth of the AI in military market.

Ai In Military Market Ecosystem

Prominent companies in this market include well-established, financially stable providers of AI solution for military purpose. Major players operating in the AI in military market include Lockheed Martin Corporation (US), Raytheon Technologies Corporation (US), Northrop Grumman Corporation (US), BAE Systems plc (US), and Thales Group (France).

Artificial Intelligence (AI) in Military Market by Ecosystem

Based on the Offering, the Software Segment is Projected to Grow at the Highest CAGR in the AI in Military Market During the Forecast Period

Based on offering, the AI in military market has been segmented into hardware, software, and services. The hardware segment has been classified into processor, memory, and network. The growth of the software segment can be attributed to the significance of AI software in strengthening the IT framework to prevent incidents of a security breach. As data privacy policies and regulatory compliances have become stringent, the demand for cybersecurity solutions using AI is expected to increase in the near future. IBM is the leader in providing software powering AI.

Based on Application, the Information Processing Segment to Held Second Largest Share in the Base Year

Based on application, the market for artificial intelligence in the military has been segmented into warfare platforms, cybersecurity, logistics & transportation, surveillance & situational awareness, command & control, battlefield healthcare, simulation & training, information processing, threat/target monitoring and tracking, and others.

Among these the information processing segment to held second largest share in 2023. AI is used for the processing of a huge cache of data that provides valuable information. It helps in the culling and aggregation of information, which assists military personnel in recognizing patterns and derive correlations in data sets. AI acquires and sums supersets of information from various sources. The processed information is used for further investigation with machine learning or deep learning tools.

North America Hold Largst Share in 2023

The North America hold the largest share in 2023. This large share is due to the several factors such as, High spending on advancement of defense sector, strong focus on adoption of state-of-the-art technologies, and the presence of a leading players in the region.

Artificial Intelligence (AI) in Military Market by Region

Artificial Intelligence (AI) in Military Market by Region

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Artificial Intelligence (AI) in Military Companies - Key Market Players

Major Artificial Intelligence (AI) in Military Companies include Lockheed Martin Corporation (US), Raytheon Technologies Corporation (US), Northrop Grumman Corporation (US), BAE Systems plc (US), and Thales Group (France).

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Scope of the Report

Report Metric

Details

Market Size Available for Years

2019–2028

Base Year Considered

2022

Forecast Period

2023–2028

Forecast Units

Value (US$ Million/Billion)

Segments Covered

Offering, Application, Technology, Platform, Installation Type, and Region

Geographies Covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies Covered

Lockheed Martin Corporation (US), Raytheon Technologies Corporation (US), Northrop Grumman Corporation (US), BAE Systems plc (US), and Thales Group (France). L3Harris Technologies Inc. (US), and Rheinmetall AG (Germany)

Artificial Intelligence (AI) in Military Market Highlights

This research report categorizes the AI in military market based on offering, application, technology, platform, installation type, and region.

Segment

Subsegment

By Offering:

  • Hardware
    • Processor
    • Memory
    • Network
  • Software
    • AI Solutions
      • Cloud
      • On-Premise
    • AI Platforms
  • Services
    • Deployment & Integration
    • Upgrades & Maintenance
    • Software Support
    • Others

By Application:

  • Warfare Platforms
  • Cybersecurity
  • Logistics & Transportation
  • Surveillance & Situational Awareness
  • Command & Control
  • Battlefield Healthcare
  • Simulation & Training
  • Threat/ Target Tracking and Monitoring
  • Information Processing
  • Others

By Technology:

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Generative Adversarial Learning
    • Others
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Intelligent Virtual Agent
  • Others

By Platform:

  • Airborne
    • Fighter Aircraft
    • Special Mission Aircraft
    • Helicopters
    • Unmanned Aerial Vehicles (UAV)
  • Land
    • Military Fighting Vehicles (MFV)
    • Unmanned Ground Vehicles (UGV)
    • Weapons Systems
    • Headquarter & Command Centers
    • Dismounted Soldier Systems
  • Naval
    • Ships
    • Submarines
    • Unmanned Marine Vehicles (UMVs)
  • Space
    • Cubesat
    • Satellites

By Installation Type:

  • New Installation
  • Upgradation

By Region:

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Recent Developments

  • In April 2023, Raytheon Technologies Corporation launched its new AI-assisted EO/IR system, RAIVEN. This solution allows military pilots to obtain faster and more accurate threat identification.
  • In March 2023, Northrop Grumman Corporation, in partnership with Shield AI, has been selected by the U.S. Army for the Future Tactical Unmanned Aircraft System (FTUAS) competition, Increment 2. This competition aims to replace the RQ-7B Shadow tactical unmanned aerial system (UAS) with advanced capabilities.
  • In January 2023, Lockheed Martin Corporation introduced its new AI model Aegis. This model is used to improve the operation efficiency of Agis Combat System. The AI enabled Agis combat system offers improved operator decision making, situational awareness, reduced reaction time, and the ability to defend against hypersonic threats. It also predictively determines when parts will need maintenance before they break.
  • In July 2022, Raytheon Technologies has chosen the C3 AI Platform to deliver state-of-the-art artificial intelligence (AI) and machine learning (ML) capabilities, presenting a readily available solution for the U.S. Army's Tactical Intelligence Targeting Access Node (TITAN) program.
  • In June 2022, Lockheed Martin Corporation introduced new AI/ML technology enable solution. First, a Cognitive Mission Manager, command and control suite of services designed to use AI/ML to deliver accurate, timely, and actionable intelligence to the ground commanders and operators. Second, Cognitive Tip & Cue product to find tanks on a battlefield. Third, AI/ML tools that offer Object Level and Pixel Level Change Detection using time series satellite imagery to deliver automated, rapid change detection. At last, TruthTrail, a prototype gamification application built off a gaming engine which presents a simulated environment that “rewards” labelers for their work.

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TABLE OF CONTENTS
 
1 INTRODUCTION
    1.1 OBJECTIVES OF STUDY
    1.2 MARKET DEFINITION
    1.3 MARKET SCOPE
           1.3.1  AI IN MILITARY MARKET SEGMENTATION
           1.3.2  YEARS CONSIDERED FOR THE STUDY
    1.4 INCLUSIONS AND EXCLUSIONS
    1.5 CURRENCY
    1.6 LIMITATIONS
    1.7 STAKEHOLDERS
    1.8 SUMMARY OF CHANGES
 
2 RESEARCH METHODOLOGY 
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
                    2.1.1.1 KEY DATA FROM SECONDARY SOURCES
           2.1.2 PRIMARY DATA
                    2.1.2.1 KEY DATA FROM PRIMARY SOURCES
           2.1.3 KEY PRIMARY SOURCES
    2.2 FACTOR ANALYSIS
           2.2.1 INTRODUCTION
           2.2.2 DEMAND-SIDE INDICATORS
           2.2.3 SUPPLY-SIDE INDICATORS
    2.3 RESEARCH APPROACH AND METHODOLOGY
           2.3.1 BOTTOM-UP APPROACH
                    2.3.1.1 MARKET SIZE ESTIMATION & METHODOLOGY
                    2.3.1.2 REGIONAL SPLIT OF AI IN MILITARY MARKET
           2.3.2 TOP-DOWN APPROACH
    2.4 TRIANGULATION AND VALIDATION
           2.4.1 TRIANGULATION THROUGH PRIMARY AND SECONDARY RESEARCH
    2.5 RESEARCH ASSUMPTIONS
           2.5.1 ASSUMPTIONS USED IN MARKET SIZING AND FORECAST
    2.6 RISKS
    2.7 RECESSION IMPACT ANALYSIS
 
3 EXECUTIVE SUMMARY 
 
4 PREMIUM INSIGHTS 
 
5 MARKET OVERVIEW 
    5.1  INTRODUCTION
    5.2  MARKET DYNAMICS
           5.2.1 DRIVERS
           5.2.2 RESTRAINTS
           5.2.3 OPPORTUNITIES
           5.2.4 CHALLENGES
    5.3 PRICING ANALYSIS
    5.4  VALUE CHAIN ANALYSIS
    5.5  MARKET ECOSYSTEM MAP
    5.6  TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS
           5.6.1 REVENUE SHIFT AND NEW REVENUE POCKETS FOR AI IN MILITARY MARKET
    5.7  PORTER’S FIVE FORCES ANALYSIS
           5.7.1 THREATS OF NEW ENTRANTS
           5.7.2 THREAT OF SUBSTITUTES
           5.7.3 BARGAINING POWERS OF SUPPLIERS
           5.7.4 BARGAINING POWERS OF BUYERS
           5.7.5 INTENSITY OF COMPETITIVE RIVALRY
    5.8  TARIFF AND REGULATORY LANDSCAPE
 
6 INDUSTRY TRENDS 
    6.1 INTRODUCTION
    6.2 TECHNOLOGY TRENDS
    6.3 USE CASES OF MILITARY LASER SYSTEMS
    6.4 IMPACT OF MEGATRENDS
    6.5 INNOVATIONS & PATENT REGISTRATIONS
    6.6 KEY CONFERENCES & EVENTS IN 2023-2024
    6.7 KEY STAKEHOLDERS & BUYING CRITERIA
           6.7.1 KEY STAKEHOLDERS IN BUYING PROCESS
           6.7.2 BUYING CRITERIA
    6.7 AI IN MILITARY MARKET ROADMAP
 
7 AI IN MILITARY MARKET, BY OFFERING
    7.1 INTRODUCTION
    7.2 HARDWARE
           7.2.1 PROCESSOR
           7.2.2 MEMORY
           7.2.3 NETWORK
    7.3 SOFTWARE
           7.3.1 AI SOLUTIONS
                    7.3.1.1 CLOUD
                    7.3.1.2 ON-PREMISE
           7.3.2 AI PLATFORMS
    7.4 SERVICES
           7.4.1 DEPLOYMENT & INTEGRATION
           7.4.2 UPGRADES & MAINTENANCE
           7.4.3 SOFTWARE SUPPORT
           7.4.4 OTHERS 
 
8 AI IN MILITARY MARKET, BY APPLICATION
     8.1 INTRODUCTION
     8.2 WARFARE PLATFORMS
     8.3 CYBERSECURITY
     8.4 LOGISTICS & TRANSPORTATION
     8.5 SURVEILLANCE & SITUATIONAL AWARENESS
     8.6 COMMAND & CONTROL
     8.7 BATTLEFIELD HEALTHCARE
     8.8 SIMULATION & TRAINING
     8.9 THREAT/ TARGET TRACKING AND MONITORING 
     8.10 INFORMATION PROCESSING
     8.11 OTHERS
 
9 AI IN MILITARY MARKET, BY TECHNOLOGY 
     9.1 INTRODUCTION 
     9.2 MACHINE LEARNING
            9.2.1 DEEP LEARNING
            9.2.2 SUPERVISED LEARNING
            9.2.3 UNSUPERVISED LEARNING
            9.2.4 REINFORCEMENT LEARNING
            9.2.5 GENERATIVE ADVERSARIAL LEARNING
            9.2.6 OTHERS
     9.3 NATURAL LANGUAGE PROCESSING
     9.4 CONTEXT-AWARE COMPUTING
     9.5 COMPUTER VISION
     9.6 INTELLIGENT VIRTUAL AGENT
     9.7 OTHERS
 
10 AI IN MILITARY MARKET, BY PLATFORM
     10.1 INTRODUCTION
     10.2 AIRBORNE
         10.2.1 FIGHTER AIRCRAFT
         10.2.2 SPECIAL MISSION AIRCRAFT
         10.2.3 HELICOPTERS
         10.2.4 UNMANNED AERIAL VEHICLES (UAV)
     10.3 LAND
         10.3.1 MILITARY FIGHTING VEHICLES (MFV)
         10.3.2 UNMANNED GROUND VEHICLES (UGV)
         10.3.3 WEAPONS SYSTEMS
         10.3.4 HEADQUARTER & COMMAND CENTERS
         10.3.5 DISMOUNTED SOLDIER SYSTEMS
     10.4 NAVAL
         10.4.1 SHIPS 
         10.4.2 SUBMARINES
         10.4.3 UNMANNED MARINE VEHICLES (UMVS)
     10.5 SPACE 
         10.5.1 CUBESAT
         10.5.2 SATELLITES
 
11 AI IN MILITARY MARKET, BY INSTALLATION TYPE
     11.1 INTRODUCTION
     11.2 NEW INSTALLATION
     11.3 UPGRADATION
 
12 REGIONAL ANALYSIS
     12.1  INTRODUCTION
             12.1.1 RECESSION IMPACT ON AI IN MILITARY MARKET
     12.2  NORTH AMERICA
             12.2.1 PESTLE ANALYSIS: NORTH AMERICA
             12.2.2 RECESSION IMPACT ON NORTH AMERICA AI IN MILITARY MARKET
             12.2.3 US
             12.2.4 CANADA
     12.3  EUROPE
             12.3.1 PESTLE ANALYSIS: EUROPE
             12.2.2 RECESSION IMPACT ON EUROPE AI IN MILITARY MARKET
             12.3.3 UK
             12.3.4 GERMANY
             12.3.5 FRANCE
             12.3.6 ITALY
             12.3.7 RUSSIA
             12.3.8 REST OF EUROPE 
     12.4  ASIA PACIFIC
             12.4.1 PESTLE ANALYSIS: ASIA PACIFIC
             12.2.2 RECESSION IMPACT ON ASIA PACIFIC AI IN MILITARY MARKET
             12.4.3 CHINA
             12.4.4 INDIA
             12.4.5 JAPAN
             12.4.6 AUSTRALIA
             12.4.7 SOUTH KOREA
             12.4.8 REST OF ASIA PACIFIC 
          12.5 MIDDLE EAST & AFRICA
             12.5.1 PESTLE ANALYSIS: REST OF THE WORLD (ROW)
             12.5.2 Israel 
             12.5.3 Turkey
             12.5.4 Saudi Arabia
             12.5.4 South Africa
     12.5 LATIN AMERICA
             12.5.1 PESTLE ANALYSIS: REST OF THE WORLD (ROW)
             12.5.2 Brazil 
             12.5.3 Mexico
 
13 COMPETITIVE LANDSCAPE
     13.1 INTRODUCTION
     13.2 RANKING OF LEADING PLAYERS, 2022
     13.3 AI IN MILITARY MARKET: REVENUE ANALYSIS, 2018–2022
     13.4 MARKET SHARE ANALYSIS, 2022
     13.5 COMPANY EVALUATION QUADRANT, 2022
             13.5.1 STARS
             13.5.2 EMERGING LEADERS
             13.5.3 PERVASIVE PLAYERS
             13.5.4 PARTICIPANTS
     13.6 STARTUP/SME EVALUATION QUADRANT, 2022
             13.6.1 PROGRESSIVE COMPANY
             13.6.2 RESPONSIVE COMPANY
             13.6.3 DYNAMIC COMPANY
             13.6.4 STARTING BLOCK
     13.7 COMPETITIVE BENCHMARKING
     13.8 COMPETITIVE SCENARIO
             13.8.1 NEW PRODUCT LAUNCHES
             13.8.2 DEALS
             13.8.2 OTHERS
 
14 COMPANY PROFILES
     14.1  INTRODUCTION
     14.2 KEY PLAYERS
              14.2.1 LOCKHEED MARTIN CORPORATION
              14.2.2 THE BOEING COMPANY
              14.2.3 GENERAL DYNAMICS CORPORATION
              14.2.4 NORTHROP GRUMMAN CORPORATION
              14.2.5 THALES GROUP
              14.2.6 RAYTHEON TECHNOLOGIES CORPORATION
              14.2.7 BAE SYSTEMS PLC
              14.2.8 INTERNATIONAL BUSINESS MACHINES CORP. (IBM)
              14.2.9 NVIDIA CORPORATION
              14.2.10 LEONARDO S.P.A (LEONARDO)
              14.2.11 L3HARRIS TECHNOLOGIES, INC.
              14.2.12 RHEINMETALL AG
              14.2.13 SAFRAN SA
              14.2.14 HONEYWELL INTERNATIONAL INC.
              14.2.15 CACI INTERNATIONAL INC.
    14.3 OTHERS
              14.3.1 SHIELD AI
              14.3.2 RAFAEL ADVANCED DEFENSE SYSTEMS LTD.
              14.3.3 DARKTRACE LIMITED
              14.3.4 SPARKCOGNITION INC
              14.3.5 SOAR TECHNOLOGIES INC.
              14.3.6 CHARLES RIVER ANALYTICS
              14.3.7 ANDURIL INDUSTRIES, INC.
              14.3.8 C3.AI, INC.
              14.3.9 HENSOLDT ANALYTICS GMBH
              14.3.10 BLUEHALO
*DETAILS ON BUSINESS OVERVIEW, PRODUCTS/SOLUTIONS/SERVICES OFFERED, RECENT DEVELOPMENTS, MNM VIEW, KEY STRENGTHS/RIGHT TO WIN, STRATEGIC CHOICE MADE, AND WEAKNESSES AND COMPETITIVE THREATS MIGHT NOT BE CAPTURED IN CASE OF UNLISTED COMPANIES.
 
15 APPENDIX 
     15.1  DISCUSSION GUIDE
     15.2  KNOWLEDGESTORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL
     15.3  AVAILABLE CUSTOMIZATIONS
     15.4  RELATED REPORTS
     15.5  AUTHOR DETAILS

The research study conducted on the AI in military market involved extensive use of secondary sources, including directories, databases of articles, journals on AI in military, company newsletters, and information portals such as Hoover’s, Bloomberg, and Factiva to identify and collect information useful for this extensive, technical, market-oriented study of the AI in military market. Primary sources are several industry experts from the core and related industries, alliances, organizations, Original Equipment Manufacturers (OEMs), vendors, suppliers, and technology developers. These sources relate to all segments of the value chain of the AI in military market.

In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, among others, to obtain and verify critical qualitative and quantitative information and to assess future prospects of the market.

Secondary Research

In the secondary research process, various secondary sources were referred to identify and collect information for this study on the AI in military market. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers and certified publications; articles from recognized authors; manufacturer's associations; directories; and databases. Secondary research was mainly used to obtain key information about the supply chain of the AI in military industry, the monetary chain of the market, the total pool of key players, market classification and segmentation according to the industry trends to the bottom-most level, regional markets, and key developments from both market- and technology-oriented perspectives.

Primary Research

Extensive primary research was conducted to obtain qualitative and quantitative information for this report on the AI in military market. Several primary interviews were conducted with the market experts from both demand- and supply-side across major regions, namely, North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Primary sources from the supply-side included industry experts such as business development managers, sales heads, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in military market.

Artificial Intelligence (AI) in Military Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Extensive research into AI in military sources and the concurrent advances in machine learning technology have pushed technology to the level where fully configured AI in military are now being designed and tested for imminent deployment. Advances in AI/ML technology and its global demand propelling the demand for AI in military.

The top-down and bottom-up approaches were used to estimate and validate the size of the AI in military market. The figure in the section below is a representation of the overall market size estimation process employed for the purpose of this study.

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.

This data was consolidated, enhanced with detailed inputs, analyzed by MarketsandMarkets, and presented in this report.

The research methodology used to estimate the market size also included the following details:

  • 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. This data was consolidated, enhanced with detailed inputs, and analyzed by MarketsandMarkets and presented in this report.
  • Market growth trends were defined based on approaches such as the product revenues of the major 10-15 companies from 2019 to 2022, military expenditure, exports/imports of AI in military parts and equipment by different countries from 2019 to 2022, historic procurement patterns between 2019 to 2022, among others.

Market size estimation methodology: Bottom-Up Approach

Artificial Intelligence (AI) in Military Market Size, and Bottom-up Approach

Market size estimation methodology: Top Down Approach

Artificial Intelligence (AI) in Military Market Size, and Top-Down Approach

Data Triangulation

After arriving at the overall size of the AI in military market from the market size estimation process explained above, the total market was split into several segments and subsegments. The data triangulation and market breakdown procedures explained below were implemented, wherever applicable, to complete the overall market engineering process and arrive at the estimated sizes of different market segments and subsegments. The data was triangulated by studying various factors and trends from both the demand and supply sides. Additionally, the market size was validated using both the top-down and bottom-up approaches.

Artificial Intelligence (AI) in Military Market Size, and Data Triangulation

Market Definition

AI (Artificial Intelligence) in the military refers to the utilization of AI technologies and applications in various aspects of defense and military operations. AI has the potential to revolutionize the way military forces operate, enabling enhanced decision-making, improved efficiency, and increased effectiveness in a range of defense-related activities.

Key Stakeholders

  • AI Technology Providers
  • System Integrators
  • AI Solution Providers
  • AI Platform Providers
  • Cloud Service Providers
  • AI System Providers
  • Investors and Venture Capitalists
  • Component Manufacturers
  • Distributors and Suppliers
  • Universities, Research Organizations, Forums, Alliances, and Associations
  • Ministries of Defense
  • Original Equipment Manufacturers (OEMs)
  • Regulatory Bodies
  • R&D Companies

Report Objectives

  • To define, describe, and forecast the size of the market based on offering, application, technology, platform, and installation type, along with a regional analysis
  • To forecast the size of different segments of the market with respect to four key regions, namely, North America, Europe, Asia Pacific, Middle East & Africa, and Latin America, along with their key countries
  • To identify and analyze key drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To identify technology trends currently prevailing in the market
  • To provide an overview of the tariff and regulatory landscape with respect to AI in military across different regions
  • To analyze micromarkets1 with respect to individual growth trends, prospects, and their contribution to the overall market
  • To analyze opportunities in the market for stakeholders by identifying key market trends
  • To analyze the impact of the recession on the market and its stakeholders
  • To profile the leading market players and comprehensively analyze their market share and core competencies2
  • To analyze the degree of competition in the market by identifying key growth strategies, such as constant innovation, high R&D investment, new product and service launch, collaborations & expansions, contracts, acquisitions, partnerships, and agreements, adopted by the leading market players
  • To identify detailed financial positions, key products, and unique selling points of leading companies in the market
  • To provide a detailed competitive landscape of the AI in military market, along with a ranking analysis, market share analysis, and revenue analysis of the key players

Micromarkets refer to further segments and subsegments of the AI in military market included in the report.

Core competencies of companies were captured in terms of their key developments and key strategies adopted by them to sustain their position in the market.

Available customizations

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Product Analysis

  • Product matrix, which gives a detailed comparison of the product portfolio of each company

Regional Analysis

  • Further breakdown of the market segments at country-level

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

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Report Code
AS 6116
Published ON
May, 2023
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