Artificial Intelligence (AI) in Military Market Size, Share, Trends & Forecast, 2026–2034

What Is Artificial Intelligence in the Military?

AI in military refers to the use of smart technologies by defense organizations. AI is used for surveillance, autonomous vehicles, cybersecurity, battlefield analysis, and decision-making. The technology helps improve operational efficiency and national security.

Artificial Intelligence in military market enables adaptive decision-making in demanding and dynamic operational environments, facilitating the development of autonomous military systems and robots. This includes drones, unmanned ground vehicles, and self-sufficient surveillance systems. By deriving practical insights from large datasets, artificial intelligence-driven analytics enables military leaders to make well-informed decisions. This data-centric approach improves the procedures of making tactical and strategic decisions. AI uses data analysis to forecast equipment repair requirements, saving downtime and guaranteeing military assets are operationally ready.

The global race for technological superiority motivates the integration of AI into military capabilities. This includes advancements in AI technologies to maintain a competitive edge on the international stage. Market players are introducing new solutions to cater to the growing market demand.

How Artificial Intelligence Works in Military Operations

• Collects data from sensors, satellites, drones, and surveillance systems.
• Uses machine learning (ML) algorithms to analyze battlefield and intelligence data.
• Detects patterns, threats, and operational risks in real time.
• Supports autonomous reconnaissance, navigation, and combat missions.
• Optimizes military planning and logistics through predictive analytics.
• Monitors and protects defense networks using AI-powered cybersecurity.

Leveraging AI's analytical capabilities, military strategists can predict geopolitical trends, optimize resource allocation, and conduct thorough scenario analyses. This aids in effective strategic planning and risk management. AI-driven logistics optimization involves predicting supply chain requirements, minimizing operational costs, and improving the efficiency of military logistics. This results in enhanced responsiveness and adaptability.

Traditional Warfare vs AI-Driven Warfare

Aspect	Traditional Warfare	AI-Driven Warfare
Decision-Making	Human-led and experience-based	AI-assisted with real-time analytics
Intelligence Gathering	Manual reconnaissance and reports	AI analyzes data from drones, satellites, and sensors
Threat Detection	Slower, human-dependent	Real-time AI-powered threat identification
Combat Operations	Manned vehicles and weapon systems	Autonomous and semi-autonomous defense systems, and autonomous weapons systems
Mission Planning	Based on historical data and manual analysis	AI-driven predictive analytics and scenario modeling
Response Speed	Relatively slower	Faster through intelligent automation
Logistics & Maintenance	Scheduled maintenance and manual planning	Predictive maintenance and AI-optimized logistics
Cyber Defense	Rule-based security systems	AI-powered continuous threat detection and response

Source: Polaris Market Research Analysis

Market Dynamics

Driver: Cyber Warfare Capabilities and Counterterrorism Operations

Cyber warfare capabilities significantly drive the surge in artificial intelligence adoption within the military market. AI enhances military cyber capabilities by leveraging advanced algorithms to detect, counter, and respond to evolving cyber threats. It empowers proactive defense measures, identifying vulnerabilities and ensuring secure communication channels. AI-driven cybersecurity solutions enable rapid threat analysis, providing military forces with the agility to thwart sophisticated attacks. The intersection of AI and cyber warfare not only fortifies digital defenses but also amplifies the military's ability to navigate the intricacies of modern warfare, where information dominance is paramount for strategic advantage.

Counterterrorism operations propel the integration of the Artificial Intelligence (AI) in Military Market. AI plays a pivotal role in enhancing counterterrorism efforts by analyzing vast datasets to discern patterns, identify potential threats, and predict illicit activities. Machine learning algorithms facilitate swift anomaly detection and actionable intelligence, aiding intelligence agencies in preemptive and responsive actions against terrorist networks. The adaptive nature of AI ensures continuous learning, evolving strategies, and improving the effectiveness of counterterrorism initiatives. In the dynamic landscape of modern warfare, AI empowers military forces to stay ahead of evolving threats, contributing to more proactive and successful counterterrorism operations.

Driver: Defense AI budget and AI first procurement

The AI budget in Military is rising worldwide due to rising demand for automation in the sector. Developed and developing countries are shifting from traditional heavy hardware to autonomous systems. For instance, according to the U.S. Department of War, the government announced USD 13.4 billion for autonomy and autonomous systems as a part of defense modernization. This rise in the government spending are driving the demand for AI in military services. Additionally, governments worldwide are further focusing on building an AI infrastructure from ground up for military and national security applications, which is further driving the demand, thereby driving the industry growth (Source: war.gov).

Driver:  Rising Frequency of Drone Warfare

Recent conflicts have shown the growing importance of drones in modern warfare. Drones provide military forces with better visibility, faster intelligence, and lower-cost options for surveillance and targeting. Their use has also shown how quickly military tactics can change on the battlefield. These lessons are pushing defense forces to invest in AI-based systems that can process large amounts of battlefield data, identify threats, and support faster decisions. As drone warfare becomes more common, demand for AI solutions is expected to increase across surveillance, intelligence, and battlefield operations.

Driver:  Cyber and Electronic Warfare Threats

Growing cyber and electronic warfare threats are driving demand for AI in military operations. Modern forces face risks such as communication disruption, cyberattacks, signal interference, and attempts to deceive sensors. AI can help detect unusual activity and identify potential threats faster. It can also support military teams in monitoring large volumes of network and sensor data. As warfare becomes more dependent on connected systems, defense organizations are increasing investments in AI to improve system protection, threat detection, and operational resilience.

Restraints: Legacy Integration and Standardization

The integration of AI in the legacy infrastructure poses a restraint for the AI in military market. Existing defense infrastructure in most of the cases are intentionally isolated or air gapped for cybersecurity purposes. Integration of AI in these systems are difficult as it requires significant cost and also pose technological limitations in some cases. This limits the adoption of the autonomous systems in the defense sector. Moreover, Military data is trapped in stovepiped legacy databases, incompatible formats, and multi-vendor systems. This lacks the standardized labeling required to train the AI models, which further limits the industry growth.

Restraints: Talent Gap

The shortage of skilled professionals is a major restraint for the military AI market. Developing and operating AI systems requires expertise in areas such as data science, software development, cybersecurity, and defense operations. However, many defense organizations face difficulty in attracting and retaining qualified talent. The private sector often offers higher salaries and more flexible work environments. This talent gap can slow AI adoption, increase project costs, and delay the development of advanced military systems. It can also limit the ability of defense forces to fully use existing AI technologies.

Opportunities: Autonomous Mass Systems

The rising demand for autonomous systems is shaping up to be an important growth driver for the military AI market. Military organizations are looking to develop fleets of military drones and unmanned systems which can perform a range of tasks with minimal human intervention. AI can enable such systems through target recognition, collaborative decision-making, and other battlefield competencies. This presents a great opportunity for military AI market participants as there is likely to be demand for such technologies across domains like aerial, ground, naval, and C4ISR.

Opportunities: Space And Edge AI

The development of space-based and edge systems is also set to create growth opportunities for military AI market participants. Space-based AI systems can enable a range of defense applications which rely on satellite inputs. Edge-based AI can allow militaries to undertake complex data processing at the site where operations are being conducted instead of relying on centralized cloud servers. This can dramatically improve battlefield response times, giving rise to the need for such systems in the military domain.

Challenges

• Ethical Concerns: The use of autonomous weapons system is increasing across defense sector. It creates concerns regarding accountability and adherence to international law.
• Cybersecurity Risks: AI-based defensive mechanisms are susceptible to cyber attacks and manipulations by adversarial AI.
• High Development Costs: Developing and implementation of advanced military AI solutions requires a large investments and long research and development cycles.

Emerging Trends in the AI in Military Market

Emerging Trend	Short Information	Key Benefit
Swarm Drone Technology	AI coordinates multiple drones to operate as a single unit.	Improves reconnaissance, surveillance, and mission efficiency.
AI-Enabled Electronic Warfare Systems	AI detects, analyzes, and counters electronic threats in real time.	Enhances battlefield awareness and defense capabilities.
Edge AI for Battlefield Operations	AI processes data directly on military devices and platforms.	Enables faster decisions with low latency.
Quantum AI in Defense Computing	Quantum-enhanced AI accelerates complex defense data analysis.	Supports advanced intelligence and mission planning.
Autonomous Naval Combat Systems	AI controls unmanned surface and underwater military vehicles.	Strengthens maritime surveillance and security.
AI-Powered Military Simulation & Training	AI creates adaptive combat simulations and virtual training.	Improves soldier readiness while reducing training costs.

Source: Polaris Market Research Analysis

Levels of Autonomy in Military AI

Level	Human role	Typical systems	Adoption status
Human-in-the-loop	Human approves every critical action	AI-assisted targeting, decision-support tools, ISR analytics	Dominant model today
Human-on-the-loop	System acts; human supervises and can intervene	Air and missile defense, counter-drone systems, autonomous escorts	Growing in time-critical defense roles
Human-out-of-the-loop (high autonomy)	System selects and executes within pre-set parameters	Loitering munitions in terminal phase, swarm behaviors	Limited; governed by policy review

Source: Polaris Market Research Analysis

Generative AI in Defense & Edge AI in Defense

Generative AI and Edge AI are driving the demand in the defense sector. Generative AI can be adopted for various purposes such as intelligence, planning, training, and decision-support through advanced data generation and processing. Edge AI enables defense systems to carry out their operations at the edge and makes them independent of networks. These technologies can create better applications in the field of situational awareness, communication, and control and hence are anticipated to witness growth in the years to come.

Ethical, Legal & Governance Framework for Military AI

The need for ethical, legal, and governance frameworks for military AI is gaining attention. The frameworks would lay down policies for developing, testing, deploying, and monitoring AI systems in the defense sector. It can help promote safer and more reliable AI-enabled defense systems while minimizing risks concerning erroneous decisions and accountability. Moreover, governments are focusing on building ethical and responsible defense AI systems. The need for such systems has resulted in demand for products and services related to human oversight, evaluation, audit, assurance, and responsible innovation in the military AI market.

Report Segmentation

By Offering Analysis

The software segment accounted for largest share of 61.4% in 2025. Advanced command and control systems leverage AI-driven software for intricate operational control. Cybersecurity benefits from adaptive threat detection, securing networks against evolving threats. Autonomous vehicles and drones rely on software-powered AI algorithms for dynamic mission execution. Predictive analytics inform strategic planning, while surveillance software enhances threat identification. Realistic simulations and adaptive training environments are facilitated by software, optimizing personnel preparedness. Logistics and supply chain management benefit from software applications, ensuring efficient resource allocation. The software also ensures ethical AI use, compliance, and continuous upgrades, underscoring its pivotal role in advancing military capabilities.

The service segment is expected to witness growth of CAGR 21.32% during the forecast period due to the growing need to implement, integrate, maintain, and update military AI systems. Defense entities usually require third-party services to deploy AI systems and connect them with the existing networks. Moreover, organizations are also looking to outsource AI training, testing, cybersecurity, and technical support services. As the complexity of AI software increases, the need for defense organizations to depend on external resources to implement and manage AI software also escalates.

The hardware segment is expected to witness growth of CAGR 20.9% during the forecast period. The adoption of artificial intelligence in military applications is propelling the growth of the hardware segment. There is an increased need for advanced processors, sensors, cameras, and communication systems among defense forces. Also, drones and surveillance systems are anticipated to witness high adoption rates. The amount of data generated on the battlefield is growing exponentially. This is positively influencing the demand for improved defense equipment.

By Technology Analysis

The machine learning segment dominated the artificial intelligence (AI) in military market share with 34.9% in 2025. Machine learning revolutionizes military AI applications with precision and adaptability. ML's diverse applications include threat detection and classification, forecasting security breaches, and anomaly detection for swift response. In image and object recognition, ML-driven computer vision aids surveillance. Natural Language Processing (NLP) enhances unstructured data analysis, while ML enables autonomy in vehicles and drones. From optimizing mission planning and supply chains to predictive maintenance, ML transforms logistics. In personnel management, ML streamlines recruitment and adaptive learning for training. Cybersecurity benefits from ML's adaptive defenses, while simulations prepare personnel for diverse scenarios. ML-driven pattern recognition aids intelligence, and robotic process automation (RPA) optimizes routine tasks.

The computer vision segment is expected to witness growth of CAGR 21.45% during the forecast period as the growing demand for real-time battlefield awareness is driving the adoption of computer vision in military AI. Defense forces use it for surveillance, object detection, target recognition, and border monitoring. The increasing use of drones, unmanned vehicles, and advanced imaging systems is creating further demand for computer vision capabilities.

The deep learning is expected to witness growth of CAGR 21.82% during the forecast period due to the need for advanced threat detection and accurate data analysis which is driving deep learning adoption in defense. Deep learning technology are able to process complex images, signals, and large datasets. Moreover, its growing use in autonomous systems, surveillance, target recognition, and intelligence applications is fueling the segment growth.

The NLP segment is expected to witness growth of CAGR 19.23% during the forecast period. The increasing need to process large volumes of military documents, communications, and intelligence is driving NLP adoption. NLP can help analyze text, translate languages, summarize information, and identify important details. Growing demand for faster intelligence processing and improved communication is encouraging defense organizations to adopt NLP-based military AI solutions.

AI Technologies in Military & Defense

Technology	What it does	Primary defense use	Maturity
Machine learning & deep learning	Learns patterns from sensor, signal and maintenance data	Threat classification, predictive maintenance, anomaly detection	Fielded at scale
Computer vision	Detects and identifies objects in imagery and video	ISR image exploitation, target recognition, drone navigation	Fielded at scale
Natural language processing & generative AI	Understands, summarizes and generates text	Intelligence summarization, planning support, report drafting	Early deployment on secure networks
Data fusion & predictive analytics	Combines multi-sensor feeds into one operating picture	Command and control, battle management	Scaling through enterprise contracts
Autonomous navigation & guidance	Plans and executes movement without continuous human control	UAVs, UGVs, unmanned surface and underwater vessels	Fielded (supervised autonomy)
Swarm intelligence / multi-agent AI	Coordinates many unmanned systems as one unit	Drone swarm, low-cost attritable systems	Prototype to early production

Source: Polaris Market Research Analysis

By Platform Analysis

The airborne segment dominated with largest share of 46.52% in 2025 due to the increasing use of AI in aircraft, drones, and airborne surveillance systems. AI helps improve threat detection, monitoring, and mission support. The growing use of unmanned aircraft and the need for faster analysis of airborne data are driving demand for AI in the airborne platforms, thereby driving the segment growth.

The land segment is expected to witness growth of CAGR 22.65% during the forecast period driven by rising demand for battlefield surveillance and threat detection. Defense forces are using AI in ground vehicles, drones, and monitoring systems. The need for faster decision-making and better battlefield awareness is increasing demand for AI-based solutions across land-based military operations, thereby driving the segment growth.

The naval segment is expected to witness growth of CAGR 20.6% during the forecast period driven by the growing need for better surveillance and threat detection at sea. AI is being used in ships, submarines, and unmanned naval systems. Rising maritime security concerns and the increasing use of autonomous systems are encouraging defense forces to invest in AI-based naval technologies.

The space segment is expected to witness growth of CAGR 19.21% driven by the growing use of satellites for military surveillance and communication. AI can help process large amounts of satellite data and support faster decision-making. Rising space security concerns and increasing military investment in space-based systems drive demand for AI solutions, thereby driving the segment growth.

AI by Military Platform

Platform	Key AI applications	Adoption driver	Example programs / systems
Land	Robotic combat vehicles, EOD robots, soldier-worn AR, counter-drone	Force protection, drone threat on the front line	Anduril Lattice (Army enterprise contract), IVAS successor program
Airborne	Autonomous wingmen, AI pilots, EO/IR target recognition	Air-superiority programs, pilot workload	Collaborative Combat Aircraft (Shield AI Hivemind, Anduril Fury)
Naval	Unmanned surface and underwater vessels, sensor fusion, mine countermeasures	Maritime domain awareness at lower crew cost	USV autonomy integration programs
Space	Satellite imagery analytics, space-domain awareness, on-orbit processing	Proliferated LEO constellations and missile tracking	Space-based ISR and tracking layers

Source: Polaris Market Research Analysis

Autonomous Military Systems & AI Robotics

Autonomous military systems and AI-powered robotics are transforming modern defense operations. Adoption of these technologies reduces human intervention in high-risk missions. It also improves operational efficiency. These technologies integrate AI and ML, computer vision, and advanced sensors. With such technologies, they perform surveillance, reconnaissance, target detection, logistics, mine clearance, and other tasks. These systems also offer combat support with greater speed and accuracy.

Key Developments:

• AI-enabled autonomous drones are deployed for surveillance and precision missions.
• Unmanned ground vehicles (UGVs) are preferred for reconnaissance and logistics support.
• Autonomous naval vessels and underwater vehicles are responsible for maritime security.
• AI-enabled robotic systems help in explosive ordnance disposal (EOD).

By Application Analysis

Warfare dominated the market with largest share of 38.11% in 2025 as military forces worldwide are adopting AI for combat operations, targeting, autonomous systems, and battlefield decision-making. The growing use of drones and other unmanned systems is further increasing demand for the AI based warfare systems. Moreover, rising government spending on autonomous warfare is further fueling the demand, thereby driving the segment growth.

The cyber security segment is expected to experience fastest growth of CAGR 28.2% during the market forecast period. Artificial intelligence significantly elevates military cybersecurity by employing advanced techniques. Through real-time threat detection, AI algorithms analyze extensive datasets, adapting to emerging vectors. Behavioral analysis monitors network activities for anomalies, while adaptive responses dynamically counter threats. Predictive analytics anticipates potential risks, bolstering proactive defense. AI-driven vulnerability management identifies and addresses system weaknesses, fortifying cybersecurity postures. Automated incident response and forensics expedite investigations. User and Entity Behavior Analytics (UEBA) detect insider threats. Natural Language Processing (NLP) enriches threat analyses, and continuous learning ensures adaptability against evolving adversaries. AI also excels in zero-day threat protection, automating routine tasks, and deploying deception technologies for added defense layers.

By End User Analysis

The armed forces segment dominated with largest share of 33.78% in 2025 driven by the growing need to improve battlefield operations. Military forces are using AI for surveillance, threat detection, drones, and decision support. The need for faster responses and better battlefield awareness is further attracting investment in AI-based defense systems, thereby driving the segment growth.

Intelligence agencies segment is expected to witness growth of CAGR 20.89% during the forecast period as intelligence agencies are adopting AI to process large amounts of information faster. AI help to identify patterns and detect potential threats. Additionally, growing security risks and the need for faster access to useful information are driving demand for AI solutions in the intelligence agencies, thereby fueling the growth.

The homeland security segment is expected to witness growth of CAGR 20.11% during the forecast period driven by rising concerns about border security, terrorism, and public safety. AI is being used for surveillance, threat detection, and monitoring. Growing demand for better security at borders, airports, and other major locations is prompting governments to invest in AI-based security systems, thereby driving the segment growth.

AI in Military & Defense Examples: Applications and Programs

Application	Real-world use	Named example
Autonomous drones & UAVs	Surveillance, targeting and strike with minimal human input	U.S. DoD Replicator initiative; Collaborative Combat Aircraft
Command & control	Fuses sensors into one operating picture for faster decisions	CJADC2; NATO air command-and-control upgrades
AI-enabled ISR & target recognition	Automates exploitation of imagery and full-motion video	Maven Smart System (program of record)
Counter-drone defense	Detects, classifies and defeats hostile drones	Army counter-UAS enterprise vehicle (Anduril)
Predictive maintenance	Forecasts component failure to raise fleet readiness	Air-fleet condition-based maintenance programs
Cyber defense	Detects and responds to network intrusions at machine speed	Military security operations centers using AI
Training & wargaming	Adaptive simulations and synthetic training scenarios	AI-driven wargaming and VR training systems

Source: Polaris Market Research Analysis

Artificial Intelligence (AI) in Military Market Regional Analysis

North America Artificial Intelligence in Military Trends

North America accounted for the largest AI in military market size of the market in 2025 which is 41.7%. Predictive analytics using machine learning algorithms is a key component of AI optimization in command and control systems. This helps commanders to make better decisions, dynamically deploy resources, and foresee possible threats. AI helps with real-time data fusion, which makes it possible for various military missions to have complete situational awareness. Leading American defense contractors and IT companies are leading the way in integrating AI into the military. Organizations like RTX, IBM, Lockheed Martin, and Northrop Grumman engage in AI R&D to stay ahead of the curve and improve defense capabilities. The advancement of AI technology suited for military applications is the main goal of ongoing research and development projects. The incorporation of machine learning algorithms for adaptive decision-making and natural language processing for improved human-computer interaction are instances of these developments.

Asia Pacific Artificial Intelligence in Military Trends

Asia Pacific is expected to witness fastest growth of CAGR 26.8% in military artificial intelligence Market forecast period. Technological progress involves Quantum Computing, Swarm Robotics, and Explainable AI. Strategic alliances and government initiatives drive AI integration in defense, emphasizing national strategies and skill development. Military modernization programs focus on acquiring and retrofitting AI technologies. Dual-use applications benefit both civilian and defense sectors. Robust investments foster research, innovation hubs, and public-private collaboration. Ethical considerations and regulatory frameworks guide responsible AI use. Education integrates AI into military academies, ensuring continuous learning for personnel.

Europe Artificial Intelligence in Military Trends

Europe is expected to witness growth of CAGR 20.67% during the forecast period due to growing demand for defense AI due to rising security concerns and higher defense spending. According to the European Defense Agency, the defense spending of European Union was EUR 418 billion or USD 470 billion in 2025. This defense spending is expected to rise to EUR 454 billion or USD 510 billion in 2026. Countries in the region are investing in AI for surveillance, intelligence, drones, and battlefield support. The region is further focusing on developing its own defense technologies. Cooperation among European countries is helping increase AI research and development. Growing efforts to modernize military systems are further expected to fuel the artificial intelligence (AI) in military market growth in the region (Source: eda.europa.eu)

Middle East and Africa Artificial Intelligence in Military Trends

The Middle East & Africa region is expected to witness growth of CAGR 20.10% during the forecast period due to rising security concerns are encouraging countries to improve surveillance, border monitoring, and defense systems. Several countries are investing in drones, autonomous technologies, and advanced intelligence systems. Growing defense spending is further supporting the adoption of new technologies. The need to improve military readiness and respond quickly to security threats is creating demand for AI solutions. Partnerships with global defense technology providers are further supporting AI adoption in the region.

Latin America Artificial Intelligence in Military Trends

Latin America is expected to witness growth of CAGR 18.76% during the forecast period as countries are focusing on improving border security, surveillance, and military intelligence. Growing concerns about national security are encouraging governments to modernize defense equipment in the region. Moreover, increasing investment in drones and surveillance technologies is further supporting demand for AI solutions, thereby driving the growth in Latin America region.

AI in Military Market Share by Region

Region	Market Position	CAGR (2026-2034)	Key Trend
North America	Largest Market	20.7% CAGR	Dominates due to high defense spending, advanced AI research, and significant investments in autonomous military technologies.
Europe	Steady Growth	20.67% CAGR	Military modernization programs and NATO-led defense technology initiatives are accelerating AI adoption.
Asia-Pacific	Fastest-Growing Market	26.8% CAGR	Rising geopolitical tensions, increasing defense budgets, and indigenous AI development are driving rapid growth.
Latin America	Emerging Market	18.76% CAGR	Growing focus on improving border security, surveillance, and military intelligence.
Middle East & Africa	Emerging Market	20.10% CAGR	Growing investments in AI-powered surveillance, border security, and smart defense infrastructure are supporting market expansion.

Source: Polaris Market Research Analysis

Artificial Intelligence in Military Market Competitive Landscape

The market faces fierce rivalry, with companies leveraging cutting-edge technology, top-notch product offerings, and a robust brand reputation to propel revenue expansion. Key players employ diverse tactics, including dedicated research and development, strategic mergers and acquisitions, and continuous technological advancements. These strategic maneuvers are aimed at broadening their product ranges and sustaining a competitive advantage. The market dynamic is shaped by constant innovation and a commitment to delivering high-quality solutions, underscoring the importance of strategic initiatives in ensuring sustained competitiveness.

Vendor Positioning

Company	Category	Core AI offering	Notable program / move
Lockheed Martin	Defense prime	AI across aircraft and missile defense; secure MLOps	Launched Astris AI subsidiary (Dec 2024)
Northrop Grumman	Defense prime	Sensor fusion, battle management, autonomy testbeds	AI-enabled multi-domain operations and battle management prototypes
RTX Corporation	Defense prime	AI-assisted EO/IR, electronic warfare, targeting	RAIVEN AI-assisted EO/IR system
BAE Systems	Defense prime	Autonomy and AI via FAST Labs	DARPA AIR program contract (Sept 2024)
Palantir Technologies	Defense software	Data integration, Maven Smart System, AI targeting	U.S. Army enterprise agreement up to USD 10B (Jul 2025)
Anduril Industries	Defense-tech	Lattice C2 software, autonomous aircraft, counter-UAS	U.S. Army enterprise contract up to USD 20B (Mar 2026)
Shield AI	Defense-tech	Hivemind AI pilot for unmanned aircraft	Selected for USAF CCA autonomy; LUCAS low-cost drone program (2026)
Thales Group	European prime	AI in naval, air defense and cyber systems	AI embedded across naval combat systems
NVIDIA	Semiconductor	GPUs and edge AI compute for training and inference	Compute layer behind most defense AI stacks
Microsoft / Google / AWS	Cloud & AI	Classified cloud and frontier-model access	Azure OpenAI authorized for Top Secret workloads (Microsoft); Gemini cleared for classified Pentagon use (Google); AWS Secret Cloud for Industry launched June 2026 (AWS)

Source: Polaris Market Research Analysis

Key Players in the Artificial Intelligence in Military Market

• Airbus Defence and Space
• Anduril Industries
• Amazon Web Services
• BAE Systems plc
• Booz Allen Hamilton
• Cubic Corporation
• Elbit Systems Ltd.
• General Atomics Aeronautical Systems
• General Dynamics Corporation
• Google
• Helsing
• Honeywell International Inc.
• IBM Corporation
• Israel Aerospace Industries
• L3Harris Technologies
• Leidos
• Leonardo S.p.A.
• Lockheed Martin Corporation
• Microsoft
• Northrop Grumman Corporation
• NVIDIA Corporation
• Palantir Technologies
• Rafael Advanced Defense Systems
• RTX Corporation
• Saab AB
• Shield AI
• SparkCognition
• Thales Group

Industry Developments

• October 2026, The US launched its Autonomous Warfare Command to accelerate military AI and robotics development. The Pentagon will deploy the command to advance autonomous systems, including drones, and shift toward lower-cost, AI-driven capabilities across the armed forces. (Source: enterpriseai.economictimes.indiatimes.com)
• July 2026, Accenture won an USD 821 million Pentagon contract to strengthen the War Data Platform. The five-year deal focused on connecting military data sources and supporting AI tools. The platform combined battlefield information to help commanders access intelligence faster and make quicker decisions during military operations. (Source: federalnewsnetwork.com)
• February 2026, Shield AI secured a U.S. Air Force production contract to deploy Hivemind autonomy software for the Collaborative Combat Aircraft program. The award supported software-based autonomy, enabled upgrades across aircraft, reduced integration risks, and improved coordinated operations among multiple autonomous aircraft. (Source: shield.ai)

Future Outlook of Artificial Intelligence in Military Market

The AI in defense market is expected to grow rapidly in the coming years. The growth would be driven by rising defense modernization. Increasing adoption of autonomous warfare systems and AI-driven intelligence capabilities would boost the growth. Future growth will be fueled by the growing use of autonomous drones, predictive analytics, edge AI, cybersecurity automation, and robotic combat systems. Advanced surveillance technologies will improve operational efficiency, national security, and battlefield decision-making across global defense sectors.

Artificial Intelligence (AI) in Military Market Segmentation

By Offering Outlook

• Hardware
• Software
• Services

By Platform Outlook

• Land
• Airborne
• Naval
• Space

By Technology Outlook

• Computer Vision
• Machine Learning
• Deep Learning
• Natural Language Processing
• Others

By Application Outlook

• Warfare
• Logistics & Transportation
• Cyber Security
• Command & Control
• Simulation & Training
• Others

By End Use Outlook

• Armed Forces
• Intelligence Agencies
• Homeland Security

By Regional Outlook

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • France
  • UK
  • Italy
  • Spain
  • Netherlands
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • Malaysia
  • South Korea
  • Indonesia
  • Australia
  • Rest of Asia Pacific
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Israel
  • South Africa
  • Rest of the Middle East & Africa

• Latin America
  • Mexico
  • Brazil
  • Argentina
  • Rest of Latin America

Report Scope

Report Attributes	Details
Market size value in 2025	USD 18.55 billion
Market size value in 2026	USD 22.29 billion
Revenue forecast in 2034	USD 99.34 billion
CAGR	20.5% from 2026 - 2034
Base year	2025
Historical data	2021 - 2024
Forecast period	2026 - 2034
Quantitative units	Revenue in USD billion and CAGR from 2026 to 2034
Segments covered	By Offering, By Technology, By Platform, By Application, By End Use
Regional scope	North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Customization	Report customization as per your requirements with respect to countries, region, and segmentation.

Source: Polaris Market Research Analysis