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.
The Artificial Intelligence in Military market includes major 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), Rafael Advanced defense Systems (Israel), and IBM (US), among others. These players have spread their business across various countries includes North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. COVID-19 has not affected the Ai in military market growth to some extent, and this varies from country to country. Industry experts believe that the pandemic has not affected the demand for Artificial Intelligence in the military market in defense applications.
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 Artificial Intelligence 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. The 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 American 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 the military to gain a competitive edge over other countries.
The North American 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.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Attractive Growth Opportunities in AI in Military Market 4.2 North America AI in Military Market, by Platform 4.3 Asia-Pacific AI in Military Market, by Technology 4.4 AI in Military Market, by Application 4.5 AI in Military Market, by Region 4.6 China: AI in Military Market, by Platform
5 Market Overview 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 126.96.36.199 Increased Government Spending on Defense to Improve AI Capabilities 188.8.131.52 Development of Specialized AI Chips 184.108.40.206 Growing Focus on Advanced C4Isr Capabilities 220.127.116.11 Increasing Adoption of AI in Unmanned Vehicles 18.104.22.168 Increasing Threats of Cyber Attacks 5.2.2 Restraints 22.214.171.124 Concerns Over Possibility of Errors in Complex Combat Situations 126.96.36.199 Lack of Standards and Protocols for Use of AI in Military Applications 5.2.3 Opportunities 188.8.131.52 Incorporation of Quantum Computing in AI 184.108.40.206 Increasing Adoption of AI in Predictive Maintenance in Military Platforms 5.2.4 Challenges 220.127.116.11 Absence of Backward Analysis 18.104.22.168 Lack of Trained Personnel 22.214.171.124 Sensitive Nature of Military Data 5.3 Value Chain Analysis of AI in Military Market 5.4 Trends/Disruption Impacting Customer Business 5.4.1 Revenue Shift and New Revenue Pockets for AI in Military System Manufacturers 5.5 Impact of COVID-19 on AI in Military Market 5.6 Ranges and Scenarios 5.7 Porter's Five Forces Analysis 5.8 Regulatory Landscape 5.9 Trade Analysis
6 Industry Trends 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
7 AI in Military Market, by Offering 7.1 Introduction 7.2 Hardware 7.2.1 Processor 126.96.36.199 Development of Specialized Chips Pave Way for Wider Application of AI in Military 7.2.2 Memory 188.8.131.52 High Bandwidth Parallel File Systems Increase Efficiency and Throughput of Memory Devices 7.2.3 Network 184.108.40.206 5G Network Improves Connection Capabilities 7.3 Software 7.3.1 AI Solutions 220.127.116.11 Securonix (Us), IBM (Us), Darktrace (Uk): Major Companies Developing AI Solutions 18.104.22.168.1 Cloud 22.214.171.124.2 On-Premise 7.3.2 AI Platforms 126.96.36.199 Demand for Intelligent Applications and Learning Algorithms on the Rise 7.4 Services 7.4.1 Deployment & Integration 188.8.131.52 Used to Create and Deploy Custom Text Analytics 7.4.2 Upgrades & Maintenance 184.108.40.206 Use of Predictive Maintenance Tools Boosts Segment Growth 7.4.3 Software Support 220.127.116.11 Periodic Upgradation to Improve Capabilities Drives Software Support Segment 7.4.4 Others
8 AI in Military Market, by Application 8.1 Introduction 8.2 Warfare Platforms 8.2.1 Rise of AI in Ew Platforms Boost Segment Growth 8.3 Cybersecurity 8.3.1 Increasing Cyber-Attacks and Need for Security Drive Segment 8.4 Logistics & Transportation 8.4.1 Increasing Tactical and Strategic Military Operations Fuel Segment Growth 8.5 Surveillance & Situational Awareness 8.5.1 Efficiency in Gathering Actionable Intelligence Drives Segment 8.6 Command & Control 8.6.1 Improve Ability to Gather Data for Better Decision Making 8.7 Battlefield Healthcare 8.7.1 Segment Driven by New Capabilities That Reduce Battlefield Causalities 8.8 Simulation & Training 8.8.1 Increasing Investments in Simulation & Training Sector Drive Segment Growth 8.9 Threat Monitoring 8.9.1 Adoption of AI in UAVs to Assist in Threat Monitoring on the Rise 8.10 Information Processing 8.10.1 Processing Huge Volume of Data to Gather Valuable Insights Boosts Segment Growth 8.11 Others 8.11.1 Need to Decrease Downtime Drives Others Segment
9 AI in Military Market, by Technology 9.1 Introduction 9.2 Machine Learning 9.2.1 Deep Learning 18.104.22.168 Deep Learning Increasingly Used in Facial Recognition 9.2.2 Supervised Learning 22.214.171.124 Classification and Regression: Major Segments of Supervised Learning 9.2.3 Unsupervised Learning 126.96.36.199 Unsupervised Learning Integral to Identifying Patterns in Critical Data 9.2.4 Reinforcement Learning 188.8.131.52 Reinforcement Learning Used for Autonomous Decision Making in Military Applications 9.2.5 Generative Adversarial Learning 184.108.40.206 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 9.4 Context-Aware Computing 9.4.1 Used for Improvement of Rf Signals and Situational Awareness 9.5 Computer Vision 9.5.1 Investments in Development of High-Resolution 3D Geospatial Information Systems Boost Segment 9.6 Intelligent Virtual Agent 9.6.1 Demand for Virtual Identities for Recruitment, Cyber Defense, and Training 9.7 Others 9.7.1 Increase in Adoption of Speech Recognition and Emotional Recognition
10 AI in Military Market, by Platform 10.1 Introduction 10.2 AIrborne 10.3 Land 10.4 Naval 10.5 Space
11 AI in Military Market, by Installation Type 11.1 Introduction 11.2 New Installation 11.2.1 Growing Defense Expenditure on AI-Powered Tools and Systems Boosts New Installation Segment 11.3 Upgradation 11.3.1 Demand for Enhanced Military Capabilities Drives Upgradation of Hardware Components and Software Modules
12 Regional Analysis 12.1 Introduction 12.2 AI in Military Market: Three Global Scenarios 12.3 North America 12.4 Europe 12.5 Asia-Pacific 12.6 Middle East & Africa 12.7 Latin America
13 Competitive Landscape 13.1 Introduction 13.2 Ranking Analysis of Key Market Players, 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 13.5.5 AI in Military Market Competitive Leadership Mapping (SME) 220.127.116.11 Progressive Companies 18.104.22.168 Responsive Companies 22.214.171.124 Starting Blocks 126.96.36.199 Dynamic Companies 13.6 Competitive Scenario 13.6.1 Market Evaluation Framework 13.6.2 New Product Launches and Developments 13.6.3 Contracts 13.6.4 Acquisitions/Partnerships/Joint Ventures/Agreements/Expansions
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 Rafael Advanced Defense Systems Ltd. 14.2.5 Northrop Grumman Corporation 14.2.6 Thales Group 14.2.7 Raytheon Technologies Corporation 14.2.8 Bae Systems plc 14.2.9 International Business Machines Corp. (Ibm) 14.2.10 Charles River Analytics 14.2.11 Caci International Inc. 14.2.12 Shield AI 14.2.13 Science Applications International Corp. (Saic) 14.2.14 Saab Ab 14.2.15 Nvidia Corporation 14.2.16Leonardo S.P.A (Leonardo) 14.2.17 Soar Technologies Inc. 14.2.18 L3Harris Technologies, Inc. 14.2.19 Rheinmetall Ag 14.2.20 Sparkcognition Inc 14.2.21 Leidos Holdings Inc. (Leidos) 14.2.22Safran Sa 14.2.23 Honeywell International Inc. 14.2.24 Darktrace Limited 14.2.25 Sz Dji Technology