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AI and Analytics in Military and Defense Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2025-2034

Published Apr 09, 2025
Length 208 Pages
SKU # GMI19996864

Description

The Global AI and Analytics in Military and Defense Market was valued at USD 10.4 billion in 2024 and is estimated to grow at a CAGR of 13.4%, to reach USD 35.8 billion by 2034, driven by advancements in autonomous systems, real-time data analytics, and enhanced cybersecurity solutions. AI and analytics technologies are rapidly transforming modern military operations, enabling faster decision-making, improved situational awareness, and optimized mission execution across land, air, sea, and space domains.

Defense organizations worldwide are integrating AI-driven platforms into their operational frameworks to boost combat readiness and operational efficiency, while also addressing the evolving nature of cyber threats and electronic warfare. These platforms enable real-time data analysis, predictive threat detection, autonomous decision-making, and rapid mission planning, giving military forces a decisive edge on the modern battlefield. AI-powered systems enhance situational awareness by fusing data from satellites, UAVs, sensors, and reconnaissance assets, allowing commanders to make informed decisions faster and more accurately. Additionally, AI is revolutionizing cybersecurity strategies by detecting sophisticated threats, automating responses, and safeguarding critical defense networks against increasingly complex cyberattacks. In electronic warfare, AI tools are deployed to identify, jam, or neutralize enemy communications and radar systems with minimal human intervention.

Software solutions led the AI and analytics in military and defense market generating USD 3.6 billion in 2024. These include advanced programs for data analytics, predictive modeling, intelligence gathering, autonomous navigation, and battlefield simulations. Software tools are critical in enhancing mission-critical applications such as surveillance, cybersecurity, target recognition, and logistics management. As AI capabilities become increasingly sophisticated, defense agencies prioritize investments in software that can process massive datasets in real-time, enabling quicker and more accurate battlefield decisions.

In terms of application, the surveillance and situational awareness segment generated USD 2.06 billion in 2024. AI-powered surveillance systems leverage machine learning and computer vision to automate intelligence gathering, monitor vast areas, detect anomalies, and provide real-time threat assessments. These capabilities significantly improve the ability of military forces to preemptively respond to security threats, monitor borders, and conduct tactical operations with minimal human intervention. The increasing use of drones, satellites, and unmanned ground vehicles equipped with AI analytics platforms fuels this growth.

North America AI and Analytics in Military and Defense Market held a 37.7% share in 2024. The United States and Canada lead the adoption curve, supported by robust defense budgets, strong government-industry collaboration, and strategic initiatives to modernize military capabilities through AI integration. Major players like Lockheed Martin, Northrop Grumman, Raytheon Technologies, and Palantir are at the forefront of AI innovation, focusing on autonomous systems, cyber defense, and AI-driven battlefield management platforms.

Key companies such as Lockheed Martin Corporation, Northrop Grumman Corporation, Raytheon Technologies, BAE Systems, and Thales invest in AI-based R&D, expanding their capabilities in intelligent warfare systems, predictive maintenance, autonomous vehicles, and cyber threat mitigation. Strategic collaborations, government contracts, and technology acquisitions are central to their efforts to strengthen market positioning and cater to the increasing global demand for AI-enabled military operations.

Table of Contents

208 Pages
Chapter 1 Research Methodology and Scope
1.1 Scope and definition
1.1.1 Scope
1.1.2 Definitions
1.2 Research design
1.2.1 Data collection methods
1.2.2 Market size estimation
1.3 Forecast model
1.4 Data sources
1.4.1 Primary (but not limited to)
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI and analytics in military and defense market, 2021- 2034
2.2 Business trends
2.3 Regional trends
2.4 Offering trends
2.4.1 Market estimates and forecast, 2021-2034
2.5 Installation type trends
2.5.1 Market estimates and forecast, 2021-2034
2.6 Technology trends
2.6.1 Market estimates and forecast, 2021-2034
2.7 Application trends
2.7.1 Market estimates and forecast, 2021-2034
2.8 Platform trends
2.8.1 Market estimates and forecast, 2021-2034
Chapter 3 AI and Analytics in Military and Defense Industry Insights
3.1 AI and analytics in military and defense industry ecosystem analysis
3.1.1 Raw material suppliers
3.1.2 System integrators
3.1.3 Manufacturers
3.1.4 End-user
3.2 Technological Landscape and Innovations
3.2.2 Cloud Computing in AI and Analytics in Military and Defense
3.2.3 Machine learning
3.3 Vendor matrix
3.4 Profit margin analysis
3.5 Industry impact forces
3.5.1 Growth drivers
3.5.1.1 Advancement in Tactical Unmanned Aircraft Systems (UAS)
3.5.1.2 Increasing use of AI-powered real-time data analytics
3.5.1.3 Integration of AI-driven autonomous systems
3.5.1.4 Advancements in predictive maintenance and logistics
3.5.1.5 Adoption of AI-Enhanced Training and Simulation Technologies in Military and Defense
3.5.2 Pitfalls & challenges
3.5.2.1 Data security and privacy concerns
3.5.2.2 Integration and interoperability with legacy systems
3.6 Growth potential analysis, 2024
3.7 Porter's analysis
3.8 PESTEL analysis
3.9 Future market trends
3.10 Regulatory landscape
3.10.1 International standards
3.10.1.1 IEC 61508
3.10.2 North America
3.10.2.1 DOD Directive
5000.01
3.10.2.2 Federal Acquisition Regulation (FAR)
3.10.3 Europe
3.10.3.1 General Data Protection Regulation (GDPR)
3.10.3.2 European Defence Agency (EDA) Policies
3.10.4 Asia Pacific
3.10.4.1 Japan's Security Export Control Policies
3.10.4.2 China's Cybersecurity Law
3.10.4.3 Directorate General of Civil Aviation (DGCA)
3.10.4.4 Gulf Cooperation Council (GCC) Regulations
3.10.4.5 African Union (AU) Defense and Security Policy Framework
3.11 Total Addressable Market (TAM) (By Region)
3.11.1 North America
3.11.2 Europe
3.11.3 Latin America
3.11.4 MEA
3.12 Regulatory and Ethical Considerations
3.12.1 Compliance Requirements (ITAR and National Security Policies)
3.12.2 Ethical Challenges (e.g., Autonomous Weapons, Data Privacy)
3.12.3 Impact on Product Development
Chapter 4 Competitive Landscape, 2024
4.1 Introduction
4.2 Company market share, 2024
4.3 Competitive analysis of the key market players
4.4 Competitive analysis of prominent market players
4.4.1 Lockheed Martin Corporation
4.4.2 Northrop Grumman Corporation
4.4.3 Raytheon Technologies Corporation (RTX)
4.4.4 BAE Systems plc
4.4.5 Thales
4.4.6 L3harris Technologies Inc.
4.4.7 Leonardo
4.5 Competitive positioning matrix
4.6 Strategic outlook matrix
Chapter 5 AI and Analytics in Military and Defense Market, By Offering
5.1 AI and Analytics in Military and Defense market share, by offering, 2024 & 2034
5.2 Offering
5.2.1 Market estimates and forecast, 2021-2034
Chapter 6 AI and Analytics in Military and Defense Market, By Installation Type
6.1 AI and analytics in military and defense market share, by installation type, 2024 & 203478
6.2 Installation type
6.2.1 Market estimates and forecast, 2021-2034
Chapter 7 AI and Analytics in Military and Defense Market, By Technology
7.1 AI and analytics in military and defense market share, by technology, 2024 & 2034
7.2 Technology
7.2.1 Market estimates and forecast, 2021-2034
Chapter 8 AI and Analytics in Military and Defense Market, By Application
8.1 AI and analytics in military and defense market share, by application, 2024 & 2034
8.2 Application
8.2.1 Market estimates and forecast, 2021-2034
Chapter 9 AI and Analytics in Military and Defense Market, By Platform
9.1 AI and analytics in military and defense market share, by platform, 2024 & 2034
9.2 Platform
9.2.1 Market estimates and forecast, 2021-2034
Chapter 10 AI and Analytics in Military and Defense Market, By Region
10.1 AI and analytics in military and defense market share, by region, 2024 & 2034
10.2 North America
10.3 Europe
10.4 Asia Pacific
10.5 Latin America
10.6 MEA
Chapter 11 Company Profiles
11.1 BAE Systems
11.1.1 Global overview
11.1.2 Market/Business Overview
11.1.3 Financial data
11.1.3.1 Sales Revenue, 2022-2024 (USD Million)
11.1.4 Product Landscape
11.1.5 Strategic Outlook
11.1.6 SWOT analysis
11.2 CACI International Inc.
11.2.1 Global Overview
11.2.2 Business Overview
11.2.3 Financial Data
11.2.3.1 Sales Revenue, 2022-2024 (USD Million)
11.2.4 Product Landscape
11.2.5 Strategic Outlook
11.2.6 SWOT Analysis
11.3 Cisco Systems, Inc.
11.3.1 Global Overview
11.3.2 Business Overview
11.3.3 Financial Data
11.3.3.1 Sales Revenue, 2022-2024 (USD Million)
11.3.4 Product Landscape
11.3.5 SWOT Analysis
11.4 General Dynamics Corporation
11.4.1 Global Overview
11.4.2 Market/Business Overview
11.4.3 Financial data
11.4.3.1 Sales Revenue, 2022-2024 (USD Million)
11.4.4 Product Landscape
11.4.5 Strategic Outlook
11.4.6 SWOT analysis
11.5 International Business Machines Corporation
11.5.1 Global Overview
11.5.2 Business Overview
11.5.3 Financial Data
11.5.3.1 Sales Revenue, 2022-2024 (USD Million)
11.5.4 Product Landscape
11.5.5 Strategic Outlook
11.5.6 SWOT Analysis
11.6 L3Harris Technologies Inc.
11.6.1 Global overview
11.6.2 Market/Business Overview
11.6.3 Financial data
11.6.3.1 Sales Revenue 2022-2024 (USD Million)
11.6.4 Product Landscape
11.6.5 Strategic Outlook
11.6.6 SWOT analysis
11.7 Leonardo S.p.A.
11.7.1 Overview
11.7.2 Market/Business Overview
11.7.3 Financial data
11.7.3.1 Sales Revenue, 2022-2024 (USD Million)
11.7.4 Product Landscape
11.7.5 Strategic Outlook
11.7.6 SWOT analysis
11.8 Lockheed Martin Corporation
11.8.1 Global overview
11.8.2 Market/Business Overview
11.8.3 Financial data
11.8.3.1 Sales Revenue, 2022-2024 (USD Million)
11.8.4 Product Landscape
11.8.5 Strategic Outlook
11.8.6 SWOT analysis
11.9 Northrop Grumman
11.9.1 Global overview
11.9.2 Market/Business Overview
11.9.3 Financial data
11.9.3.1 Sales Revenue, 2022-2024 (USD Million)
11.9.4 Product Landscape
11.9.5 Strategic Outlook
11.9.6 SWOT analysis
11.10 NVIDIA
11.10.1 Global Overview
11.10.2 Market/Business Overview
11.10.3 Financial Data
11.10.3.1 Sales Revenue, 2022-2024(USD million)
11.10.4 Product Landscape
11.10.5 SWOT Analysis
11.11 Palantir Technology Inc.
11.11.1 Global Overview
11.11.2 Business Overview
11.11.3 Financial Data
11.11.3.1 Sales Revenue, 2022-2024 (USD Million)
11.11.4 Product Landscape
11.11.5 Strategic Outlook
11.11.6 SWOT Analysis
11.12 Rafael Advanced Defense Systems Ltd.
11.12.1 Global overview
11.12.2 Market/Business Overview
11.12.3 Financial data
11.12.4 Product Landscape
11.12.5 Strategic Outlook
11.12.6 SWOT analysis
11.13 Raytheon Technologies
11.13.1 Global overview
11.13.2 Market/Business Overview
11.13.3 Financial data
11.13.3.1 Sales Revenue, 2022-2024 (USD Million)
11.13.4 Product Landscape
11.13.5 Strategic Outlook
11.13.6 SWOT analysis
11.14 Saab AB
11.14.1 Global overview
11.14.2 Market/Business Overview
11.14.3 Financial data
11.14.3.1 Sales Revenue (USD Mn), 2022-2024
11.14.4 Product Landscape
11.14.5 Strategic Outlook
11.14.6 SWOT analysis
11.15 Safran S.A.
11.15.1 Global Overview
11.15.2 Business Overview
11.15.3 Financial Data
11.15.3.1 Sales Revenue, 2022-2024 (USD Million)
11.15.4 Product Landscape
11.15.5 SWOT Analysis
11.16 Thales
11.16.1 Global overview
11.16.2 Market/Business Overview
11.16.3 Financial data
11.16.3.1 Sales Revenue (USD Mn), 2021-2023
11.16.4 Product Landscape
11.16.5 Strategic Outlook
11.16.6 SWOT analysis

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