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Global Artificial Intelligence (AI) in Military Market by Offering (Software, Hardware, Services), Technology (Machine Learning, Natural Language Processing), Platform (Airborne, Land, Space), Application, Installation Type, Region - Forecast to 2028

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  • 287 Pages
  • May 2023
  • Region: Global
  • Markets and Markets
  • ID: 5306656

Demand for Intelligent Applications and Learning Algorithms on Rise

The AI in military market size is projected to grow from USD 9.2 billion in 2023 to USD 38.8 billion by 2028, at a CAGR of 33.3% during the forecast period.

Machine Learning Segment: The largest share of the AI in military market by technology in 2023

Machine learning is the ability of computers to learn without being programmed. It includes supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, and neural networks) and unsupervised learning (clustering, dimensionality reduction, recommender systems, and deep learning). In the US, Intelligent Software Solutions is a leading provider of WebTAS software that integrates and visualizes data from multi-source data. This segment is further sub segmented into deep learning, supervised learning, unsupervised learning, reinforcement learning, generative adversarial networks, and others, which includes statistical learning and ensemble learning.

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 August 2020, Lockheed Martin signed a collaboration agreement with the University of Southern California (USC) Information Sciences Institute Space Engineering Research Center to build mission payloads for a small satellite program called La Jument, which enhances artificial intelligence and machine learning space technologies.

Airborne Segment: The largest segment of the AI in military market by platform in 2023

The airborne segment of the market for AI in military covers fighter jets, helicopters, special mission aircraft, and unmanned aerial vehicles (UAVs). One of the key factors driving the adoption of airborne AI systems is their autonomous nature and flexibility, which leads to wide-scale applications for surveillance to precision attacks.

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 December 2020, The Boeing Company, a multinational corporation that designs and manufactures airplanes, rotorcraft, rockets, satellites, telecommunications equipment, and missiles worldwide, announced that it completed the testing of five high-performance autonomous surrogate jets that employ artificial intelligence algorithms to teach the aircrafts’ brain to understand mission requirements and objectives.

North America to account for the largest share in the AI in military market in 2023

The adoption of AI in military in North America has increased continuously in recent years. The AI in military market in North America registered largest share in 2023. This large share is due to the increased investments and the development of AI in military technologies by countries in this region. Well-established and prominent manufacturers of these military systems in this region include Lockheed Martin (US), Northrop Grumman (US), L3Harris Technologies, Inc. (US), and Raytheon Technologies (US).

Break-up of profiles of primary participants in the AI in military market:

  • By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
  • By Designation: C-Level Executives - 35%, Directors - 25%, and Others - 40%
  • By Region: North America - 45%, Europe - 15%, Asia Pacific - 25%, Middle East & Africa - 10%, and Latin America - 5%

Prominent companies in the AI in military market are Lockheed Martin Corporation (US), Raytheon Technologies Corporation (US), Northrop Grumman Corporation (US), BAE Systems PLC (UK), and Thales Group (France) among others.

Research Coverage

The market study covers an AI in military market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such offering, application, technology, platform, installation type, and region. The study also includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key benefits of buying this report: This report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in military market and its subsegments. The report covers the entire ecosystem of the AI in military industry and will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report will also help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers and there are several factors such as increase investments on development of AI-enabled solution to strengthen military capabilities, development of high-end AI chips, need for advanced surveillance systems and situational awareness, and others that could contribute to an increase in AI in military market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in military market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI in military market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in military market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Lockheed Martin Corporation (US), Raytheon Technologies Corporation (US), Northrop Grumman Corporation (US), BAE Systems PLC (UK), and Thales Group (France), among others in the AI in military market.
Frequently Asked Questions about the Global AI in Military Market

What is the estimated value of the Global AI in Military Market?

The Global AI in Military Market was estimated to be valued at $9.2 Billion in 2023.

What is the growth rate of the Global AI in Military Market?

The growth rate of the Global AI in Military Market is 33.3%, with an estimated value of $38.8 Billion by 2028.

What is the forecasted size of the Global AI in Military Market?

The Global AI in Military Market is estimated to be worth $38.8 Billion by 2028.

Who are the key companies in the Global AI in Military Market?

Key companies in the Global AI in Military Market include Anduril Industries, Inc., BAE Systems PLC, Bluehalo, C3.AI, Inc., Caci International Inc., Charles River Analytics, Darktrace Limited, General Dynamics Corporation, Hensoldt Analytics GmbH and Honeywell International Inc..

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 Key Data from Secondary Sources
2.1.2 Primary Data 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 Market Size Estimation & Methodology 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 Summary4 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 Cloud 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, Analyst's 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: The Subscription Portal
15.3 Available Customizations

Executive Summary

Companies Mentioned

  • Anduril Industries, Inc.
  • BAE Systems PLC
  • Bluehalo
  • C3.AI, Inc.
  • Caci International Inc.
  • Charles River Analytics
  • Darktrace Limited
  • General Dynamics Corporation
  • Hensoldt Analytics GmbH
  • Honeywell International Inc.
  • International Business Machines Corp. (IBM)
  • L3Harris Technologies, Inc.
  • Leonardo S.p.A. (Leonardo)
  • Lockheed Martin Corporation
  • Northrop Grumman Corporation
  • Nvidia Corporation
  • Rafael Advanced Defense Systems Ltd.
  • Raytheon Technologies Corporation
  • Rheinmetall AG
  • Safran SA
  • Shield AI
  • Soar Technologies Inc.
  • Sparkcognition Inc.
  • Thales Group
  • The Boeing Company