Artificial Intelligence In Military Market Report Scope & Overview:

The Artificial Intelligence In Military Market Size was valued at US$ 8412.79 million in 2022, is expected to reach USD 28980.26 million by 2030, and grow at a CAGR of 16.72% over the forecast period 2023-2030.

In terms of innovation, the artificial intelligence segment is expected to lead the market from 2022 to 2028. The developing demand for AI-coordinated frameworks and the rising usage of cloud-based apps and superior computers can be attributed to the growth of the market for A.I. in military areas. In any event, protectionist tactics and a lack of standard conventions, which result in limited admittance to military stages, are limiting the development of this artificial intelligence (A.I.) in the military market.

Artificial Intelligence in Military Market Revenue Analysis

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Military intelligence refers to the integration of the latest and most advanced technologies with military equipment to increase its efficiency and effectiveness. In the developed world, the military industry is a sector, which receives the highest investment. This investment is utilized through the R&D of new technological advances and the development of advanced equipment that will be used during the war. AI-armed military systems are capable of handling large amounts of data efficiently. In addition, these programs have improved self-control and self-control due to their improved computer skills and decision-making ability. Independent weapon systems use computer detection technology to identify and track objects. Artificial intelligence can assist in extracting useful information from machines such as radars and automated diagnostic systems. Therefore, the development of military equipment, weapons, and equipment with the latest technology drives artificial intelligence to grow the military market.



  • IT Technology

  • Law enforcement organizations

  • Defense agencies


  • Complex battle circumstances

  • Automated Killer Robots

  • Lack of trained people


  • Superposition

  • Entanglement connection


  • Rising Conflicts between Countries

  • High maintenance


Although the COVID-19 epidemic is affecting the global economy, creating more difficulties, Artificial Intelligence in the military market has continued to grow. This can be seen on both sides of the demand and supply chain, as automakers such as Lockheed Martin, IBM, Northrop Grumman, and others continue to put great effort into creating A.I. skills, and governments continue to invest primarily in acquiring these structures. This can be attributed to governments that understand the capabilities of the A.I. systems that provide up to a defense arsenal such as the global A.I. the arm race is fierce.

However, despite the development of A.I. proof-of-extension technology, standard A.I. the system detected a stroke. This has been the result of a lack of immature material due to disruption of the production network. Continuity, integration, and solicitation depend on the level of national exposure to COVID-19, the level at which production operations are performed, and export guidelines, among other components. Although organizations may, however, take orders, delivery plans are unlikely to be adjusted.

During the forecast period, the space sector of the Artificial Intelligence in military market is predicted to develop at the quickest CAGR. according to the platform. CubeSats and satellites make up the space AI section. Artificial intelligence systems for space platforms include satellite components that serve as the foundation for numerous communication systems. AI integration with space platforms improves communication between spacecraft and base stations. The airborne platform segment is projected to have the biggest revenue share and dominate the global market in the near future. The increasing development of artificial intelligence-based aerial machinery, particularly in unmanned aerial vehicles, by important global market players is a key element supporting the expansion of the airborne segment in the next ten years.

According to the offer, the Software category is expected to grow at the fastest rate during the projection period. AI technological developments have led to the creation of advanced AI software and related software development kits. AI software embedded in computer systems is in charge of performing complex functions. It combines input from hardware systems and processes it in an AI system to produce an intelligent answer. The software category is expected to grow at the fastest rate due to the importance of AI software in improving IT architecture and preventing security breaches.

The United States and Canada are major countries for market study in the North American area. Because of growing expenditures on AI technology by governments in this region, this region is predicted to lead the market from 2022 to 2028. This market is dominated by the United States, which is boosting its investment in AI systems in order to preserve its military supremacy and overcome the risk of possible threats to computer networks. The United States intends to raise military spending on artificial intelligence in order to acquire a competitive advantage over other countries.


By Technology

By Application

  • Information Processing

  • Cyber Security

  • Future Unmanned Aircraft System (FUAS)

  • Logistics

  • Others

By Offering

  • Software

  • Hardware

  • Services  

By Installation Type

  • New Procurement

  • Upgrade

By Platform

  • Land

  • Naval

  • Airborne

Artificial Intelligence in Military Market Segmentation Analysis

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In the North American military market study, the United States and Canada are significant nations considered for artificial intelligence (A.I.). This region is expected to lead the market from 2022 to 2028, owing to increased demand for A.I. advancements by countries nearby. This market is driven by the United States, which is increasingly investing in A.I. frameworks to maintain its fight dominance and counter the threat posed by computer organizations. The United States aims to increase military spending on artificial intelligence in order to gain a strategic advantage over other countries.


  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


The Major Players are Lockheed Martin, Raytheon, Spark Cognition, BAE Systems, Leidos, IBM, Northrop Grumman, Thales Group, Charles River Analytics, General Dynamics, L3 Harris Technologies, Rafael Advanced Defense Systems Ltd and other players

Lockheed Martin -Company Financial Analysis

Artificial Intelligence In Military Market Report Scope:

Report Attributes Details
Market Size in 2022 US$ 8412.79 Million
Market Size by 2030 US$ 28980.26 Million
CAGR CAGR of 16.72% From 2023 to 2030
Base Year 2022
Forecast Period 2023-2030
Historical Data 2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Technology (Machine Learning, Computer vision)
• By Application (Information Processing, Cyber Security, Future Unmanned Aircraft System (FUAS), Logistics, Others)
• By Offering (Software, Hardware, Services)
• By Installation Type
• By Platform
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Lockheed Martin, Raytheon, Spark Cognition, BAE Systems, Leidos, IBM, Northrop Grumman, Thales Group, Charles River Analytics, General Dynamics, L3 Harris Technologies, Rafael Advanced Defense Systems Ltd
DRIVERS • IT Technology
• Law enforcement organizations
• Defense agencies
RESTRAINTS • Complex battle circumstances
• Automated Killer Robots
• Lack of trained people

Frequently Asked Questions

The growth rate of the Artificial Intelligence in Military Market is 16.72% over the forecast period 2023-2030.

The market size of the Artificial Intelligence in Military Market is expected to reach USD 28980.26 million by 2030.

The key players of the Artificial Intelligence in Military Market are Lockheed Martin Raytheon, Spark Cognition, BAE Systems Leidos, IBM, Northrop Grumman Thales Group, Charles River Analytics, General Dynamics L3 Harris Technologies, and Rafael Advanced Defense Systems Ltd.

The Covid-19 pandemic impacted the Artificial Intelligence in Military Market significantly. The detailed analysis is included in the final report.

North America region dominated the Artificial Intelligence in Military Market.

Table of Contents

1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges

4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7.  PEST Analysis

8. Artificial Intelligence in Military Market Segmentation, By Technology

8.1 Machine Learning

8.2 Computer vision

9. Artificial Intelligence in Military Market Segmentation, By Application

9.1 Information Processing

9.2 Cyber Security

9.3 Future Unmanned Aircraft System (FUAS)

9.4 Logistics

9.5 Others

10. Artificial Intelligence in Military Market Segmentation, By Offering

10.1 Software

10.2 Hardware

10.3 Services 

11. Artificial Intelligence in Military Market Segmentation, By Installation Type

11.1 New Procurement

11.2 Upgrade

12. Artificial Intelligence in Military Market Segmentation, by Platform

12.1 Land

12.2 Naval

12.3 Airborne

13. Regional Analysis

13.1 Introduction

13.2 North America

13.2.1 USA

13.2.2    Canada

13.2.3    Mexico

13.3        Europe

13.3.1    Germany

13.3.2    UK

13.3.3    France

13.3.4    Italy

13.3.5    Spain

13.3.6    The Netherlands

13.3.7    Rest of Europe

13.4        Asia-Pacific

13.4.1    Japan

13.4.2    South Korea

13.4.3    China

13.4.4    India

13.4.5    Australia

13.4.6    Rest of Asia-Pacific

13.5        The Middle East & Africa

13.5.1    Israel

13.5.2    UAE

13.5.3    South Africa

13.5.4    Rest

13.6        Latin America

13.6.1    Brazil

13.6.2    Argentina

13.6.3    Rest of Latin America

14. Company Profiles

14.1 Lockheed Martin Raytheon

14.1.1 Financial

14.1.2 Products/ Services Offered

14.1.3 SWOT Analysis

14.1.4 The SNS view

14.2 Northrop Grumman Thales Group

14.3 General Dynamics

14.4 L3 Harris Technologies

14.5 BAE Systems Leidos

14.6 IBM

14.7 Rafael Advanced Defense Systems Ltd

14.8 Spark Cognition

14.9 Charles River Analytics

15. Competitive Landscape

15.1 Competitive Benchmarking

15.2 Market Share Analysis

15.3 Recent Developments

16. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

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Data Bank Validation

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