AI in Aerospace and Defense Market Size to Hit USD 65.43 bn by 2034

The AI in aerospace and defense market size was estimated at USD 25.43 billion in 2024 and is expected to hit around USD 65.43 billion by 2034, with a CAGR of 9.91%.
AI in Aerospace and Defense Market Size 2024 to 2034

AI in Aerospace and Defense Market Key Takeaways

  • In 2023, North America led the AI in aerospace and defense sector, accounting for 41% of the market.

  • Europe is likely to expand at the highest growth rate during the forecast period.

  • Hardware was the most significant offering segment in the market for 2023.

  • Software offerings are set to gain momentum with notable growth ahead.

  • The on-premise deployment type held the top market position in 2023.

  • The cloud-based segment is expected to gain traction with steady growth in the forecast timeline.

  • Globally, the airborne platform segment held the largest market share in 2023.

  • The space platform is anticipated to record the fastest CAGR in the upcoming years.

  • The machine learning technology segment had the most substantial market share in 2023.

  • Computer vision is expected to experience noteworthy CAGR growth in the near term.

  • Surveillance & monitoring emerged as the top application segment in 2023.

  • Navigation & guidance systems are forecast to expand rapidly during the projected period.

  • The government & law enforcement segment led the end-use category with a 52% market share in 2023.

  • The commercial end-use is expected to grow strongly and maintain a solid CAGR throughout the forecast years.

AI in Aerospace and Defense Market Overview

The global AI in aerospace and defense market is rapidly evolving, driven by the need for faster and more intelligent decision-making across all tiers of military and aerospace operations. Artificial intelligence has found applications in predictive maintenance, automated surveillance, and strategic simulations, significantly enhancing mission readiness and reducing human risk. The adoption of AI is transforming traditional systems into smart, connected platforms capable of learning and adapting to evolving combat scenarios.

AI in Aerospace and Defense Market Drivers

The growth of this market is propelled by rising geopolitical tensions and the corresponding increase in defense spending. AI’s ability to deliver real-time threat detection, battlefield awareness, and predictive analysis is a crucial factor driving its integration into military operations. Government-led programs and military modernization initiatives are further pushing the adoption of AI across land, sea, air, and space domains.

Technological advancements

The AI in aerospace and defense market has revolutionized the manufacturing process and provided efficiency and productivity. By analyzing larger sensor data from aircraft systems and components, AI algorithms detect anomalies and failure detection and trigger maintenance action before an issue occurs. Predictive maintenance technology helps optimize performance and reduce downtime.

  • Swiss International Airlines incorporated AI to boost efficiency and claims it could optimize more than half the flights in its network and save 5 million Swiss francs in 2022.

Additionally, quality control also plays a crucial role by leveraging computer vision and machine learning algorithms, the AI in aerospace and defense market systems rapidly inspect and identify defect in components with great accuracy.

AI in Aerospace and Defense Market Opportunities

New opportunities lie in the advancement of AI-powered systems for unmanned vehicles, space exploration, and cyber defense. The increasing shift toward smart command and control systems provides a lucrative field for AI-based development. Defense agencies are also exploring AI applications in logistics, maintenance forecasting, and mission simulations, all of which offer rich prospects for innovation and commercial growth.

AI in Aerospace and Defense Market Challenges

The market faces persistent challenges including the high cost of AI deployment, ethical considerations surrounding autonomous weapons, and the scarcity of AI-literate personnel in the defense sector. Integration issues with existing infrastructure and resistance to change from traditional defense organizations also limit the full-scale adoption of AI technologies.

AI in Aerospace and Defense Market Regional Insights

In 2023, North America held the dominant position in the market with its advanced defense technology infrastructure and strong investment in R&D. Europe, backed by strategic collaborations and military alliances, is expected to grow at the fastest pace in the coming years. Asia Pacific is becoming increasingly influential in the market, with a focus on strengthening space and cyber capabilities through AI implementation.

AI in Aerospace and Defense Market Recent Developments

Key developments in the market include the rollout of AI-driven space defense systems, enhanced military AI software platforms, and advanced sensor fusion systems for defense drones. Defense contractors and technology firms are increasingly entering joint ventures to develop intelligent warfare systems. Cloud-based AI platforms for battlefield data management are also becoming a focal point of innovation.

AI In Aerospace and Defense Market Companies

  • The Boeing Company
  • Lockheed Martin
  • Northrop Grumman Corporation
  • RTX Corporation
  • Thales Group
  • Honeywell International Inc.
  • Deutsche Telekom AG
  • General Electric Co.
  • Indra Sistemas SA
  • Intel Corporation
  • International Business Machines Corporation
  • Iris Automation
  • Microsoft Corporation
  • NVIDIA Corporation
  • Raytheon Technologies Corporation
  • SparkCognition Inc.
  • Safran

Segments Covered in the Report

By Offering

  • Hardware
    • Processors
    • Memory Devices
    • Network Devices
  • Software
    • Ai Solutions
    • Ai Platforms
  • Services
    • Deployment and Integration
    • Support and Maintenance

By Deployment Type

  • Cloud-Based
  • On-Premises

By Platform

  • Land
  • Naval
  • Airborne
  • Space

By Technology

  • Machine Learning
  • Natural Learning (NLP)
  • Computer Vision
  • Context-Aware Computing
  • Robotics
  • Big Data Analytics

By Application

  • Predictive Maintenance
  • Surveillance and Monitoring
  • Mission Systems
  • Cybersecurity
  • Data Analytics
  • Autonomous Systems
  • Navigation and Guidance Systems
  • Others

By End-use

  • Commercial

By Geography

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • Middle East and Africa

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