항공분야 인공지능(AI) 시장 규모, 점유율, 성장 및 세계의 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of AI in aviation Market

The global AI in aviation market continues to expand rapidly as artificial intelligence technologies become essential across airport operations, aircraft management, and passenger services. In 2024, the market size reached USD 6,200.0 million, and it is estimated to rise to USD 7,449.3 million in 2025. Accelerated digitalization, increased air traffic, and the growing need for automation are expected to drive the market to USD 26,997.6 million by 2032, reflecting a robust CAGR of 20.20% during 2025-2032.

North America dominated the market in 2024 with a 46.19% share, supported by its mature technology ecosystem, high adoption of predictive maintenance tools, and integration of AI-driven passenger services across airports. Meanwhile, Asia Pacific is projected to experience the fastest growth during the forecast period due to its expanding airline fleet and rapid development of smart airports.

Market Drivers

AI-Driven Operational Efficiency

Operational efficiency and automation remain the strongest growth catalysts for the AI in aviation market. AI-powered route optimization tools analyze real-time weather conditions, fuel consumption patterns, and traffic congestion to enable airlines to minimize flight delays and reduce fuel usage.

A notable example emerged in April 2025, when Alaska Airlines' AI route optimization system saved 480,000 gallons of jet fuel in six months, demonstrating how AI-driven systems can significantly reduce operational expenses. Similarly, machine learning tools used in predictive maintenance help technicians detect anomalies earlier, reduce component failure risks, and extend engine life cycles.

Market Restraints

Data Security and Privacy Risks

As AI systems process sensitive data-from passenger biometrics to proprietary flight algorithms-security vulnerabilities pose one of the biggest restraints on market expansion. Cyber threats such as data poisoning, algorithm manipulation, and AI model theft create significant risks for aviation operators. Compliance with global data protection laws and the rising cost of cybersecurity investments can delay AI adoption, particularly for smaller airlines and regional airports.

Market Opportunities

Rising Adoption of Autonomous & AI-Driven Flight Systems

The rapid rise in autonomous aircraft and AI-enhanced flight management systems is opening major growth avenues. AI-powered Flight Management Systems (FMS) assist in automated navigation, real-time route selections, and precise decision-making during complex flight operations. Airlines are increasingly investing in such systems to enhance safety, improve efficiency, and reduce pilot workload. As global air traffic expands, the demand for autonomous capabilities and intelligent cockpit solutions will continue to accelerate.

Market Challenges

High Costs for Smaller Operators

AI implementation involves substantial costs for hardware, software licensing, staff training, and system integration. While major airlines can afford this investment, smaller carriers face challenges in achieving a satisfactory ROI. Additionally, legacy aviation systems complicate integration, and the global shortage of AI specialists adds another obstacle, slowing adoption for small and mid-tier operators.

Market Trends

Generative AI and Advanced Analytics Transforming Aviation

Generative AI has emerged as the most influential trend in aviation digitalization. Airlines now rely on generative AI for scenario simulation, real-time scheduling, and predictive modeling. Airport operators deploy AI for queue management, thermal screening, and automated terminal flow optimization. Meanwhile, manufacturers integrate generative AI in aircraft design prototyping and supply chain forecasting. Together, these applications mark a new era of intelligent aviation.

Segmentation Overview

By Application

• Flight operations dominated the market in 2024, driven by rising adoption of predictive maintenance and real-time route optimization tools.
• Air traffic management is expected to grow steadily with AI supporting congestion prediction and conflict resolution.

By Offering

• Software held the largest market share in 2024, with high adoption of AI-based analytics and automation systems.
• Hardware is set to grow rapidly due to expanding deployment of sensors, biometric systems, and connected aircraft components.

By Technology

• Machine learning led the segment in 2024, powering predictive analytics, anomaly detection, and customer personalization.
• Data analytics continues to expand as aviation stakeholders rely more on real-time insights.

By End User

• Airports dominated in 2024, using AI for baggage handling, crowd management, and energy optimization.
• Airlines are increasingly adopting AI for fleet management, dynamic pricing, and chatbot-based customer services.

Regional Insights

North America

Valued at USD 2,863.6 million in 2024, North America maintains leadership through extensive adoption of biometric systems, predictive maintenance platforms, and AI-based air traffic solutions.

Europe

Growth is driven by strong regulatory support and sustainability initiatives encouraging AI-powered fuel-efficient operations.

Asia Pacific

Asia Pacific is the fastest-growing region, supported by smart airport developments in China, Japan, and Singapore and rising air passenger volumes.

Rest of the World

Countries in the Middle East and Latin America are investing heavily in next-generation AI systems, including biometric gates and AI-enabled surveillance tools.

Conclusion

With its rapid expansion from USD 6.2 billion in 2024 to a projected USD 26.99 billion by 2032, the global AI in aviation market is entering a transformative era. As airlines and airports prioritize efficiency, automation, and customer satisfaction, AI will remain at the heart of digital aviation innovation.

Segmentation

By Application

• Flight Operations
• Maintenance
• Air traffic management
• Others

By Offering

• Software
• Hardware
• Service

By Technology

• Machine Learning
• Computer vision
• Data Analytics
• Others

By End User

• Airlines
• Airports
• OEMs
• MRO

By Region

• North America (By Application, Offering, Technology, End User, and Country)
  • U.S. (By Offering)
  • Canada (By Offering)
• Europe (By Application, Offering, Technology, End User, and Country)
  • U.K. (By Offering)
  • Germany (By Offering)
  • France (By Offering)
  • Russia (By Offering)
  • Rest of Europe (By Offering)
• Asia Pacific (By Application, Offering, Technology, End User, and Country)
  • China (By Offering)
  • Japan (By Offering)
  • India (By Offering)
  • South Korea (By Offering)
  • Rest of Asia Pacific (By Offering)
• Rest of the World (By Application, Offering, Technology, End User, and Country)
  • Latin America (By Offering)
  • Middle East & Africa (By Offering)

Table of Content

1. Introduction

• 1.1. Research Scope
• 1.2. Market Segmentation
• 1.3. Research Methodology
• 1.4. Definitions and Assumptions

2. Executive Summary

3. Market Dynamics

• 3.1. Market Drivers
• 3.2. Market Restraints
• 3.3. Market Opportunities
• 3.4. Market Trends

4. Key Insights

• 4.1. Key Industry Developments - Key Contracts & Agreements, Mergers, Acquisitions and Partnerships
• 4.2. Latest Technological Advancements
• 4.3. Porters Five Forces Analysis
• 4.4. Supply Chain Analysis
• 4.5. Qualitative Insights -Tariff Impact Analysis on Global AI in Aviation Market

5. Global AI in Aviation Market Analysis, Insights and Forecast, 2019-2032

• 5.1. Key Findings / Definition
• 5.2. Market Analysis, Insights and Forecast - By Application
  • 5.2.1. Flight Operations
  • 5.2.2. Maintenance
  • 5.2.3. Air traffic management
  • 5.2.4. Others
• 5.3. Market Analysis, Insights and Forecast - By Offering
  • 5.3.1. Software
  • 5.3.2. Hardware
  • 5.3.3. Service
• 5.4. Market Analysis, Insights and Forecast - By Technology
  • 5.4.1. Machine Learning
  • 5.4.2. Computer vision
  • 5.4.3. Data Analytics
  • 5.4.4. others
• 5.5. Market Analysis, Insights and Forecast - By End User
  • 5.5.1. Airlines
  • 5.5.2. Airports
  • 5.5.3. OEMs
  • 5.5.4. MRO
• 5.6. Market Analysis, Insights and Forecast - By Region
  • 5.6.1. North America
  • 5.6.2. Europe
  • 5.6.3. Asia Pacific
  • 5.6.4. Rest of the World

6. North America AI in Aviation Market Analysis, Insights and Forecast, 2019-2032

• 6.1. Market Analysis, Insights and Forecast - By Application
  • 6.1.1. Flight Operations
  • 6.1.2. Maintenance
  • 6.1.3. Air traffic management
  • 6.1.4. Others
• 6.2. Market Analysis, Insights and Forecast - By Offering
  • 6.2.1. Software
  • 6.2.2. Hardware
  • 6.2.3. Service
• 6.3. Market Analysis, Insights and Forecast - By Technology
  • 6.3.1. Machine Learning
  • 6.3.2. Computer vision
  • 6.3.3. Data Analytics
  • 6.3.4. others
• 6.4. Market Analysis, Insights and Forecast - By End User
  • 6.4.1. Airlines
  • 6.4.2. Airports
  • 6.4.3. OEMs
  • 6.4.4. MRO
• 6.5. Market Analysis, Insights and Forecast - By Country
  • 6.5.1. US
    • 6.5.1.1. Market Analysis, Insights and Forecast - By Offering
      • 6.5.1.1.1. Software
      • 6.5.1.1.2. Hardware
      • 6.5.1.1.3. Service
  • 6.5.2. Canada
    • 6.5.2.1. Market Analysis, Insights and Forecast - By Offering
      • 6.5.2.1.1. Software
      • 6.5.2.1.2. Hardware
      • 6.5.2.1.3. Service

7. Europe AI in Aviation Market Analysis, Insights and Forecast, 2019-2032

• 7.1. Market Analysis, Insights and Forecast - By Application
  • 7.1.1. Flight Operations
  • 7.1.2. Maintenance
  • 7.1.3. Air traffic management
  • 7.1.4. Others
• 7.2. Market Analysis, Insights and Forecast - By Offering
  • 7.2.1. Software
  • 7.2.2. Hardware
  • 7.2.3. Service
• 7.3. Market Analysis, Insights and Forecast - By Technology
  • 7.3.1. Machine Learning
  • 7.3.2. Computer vision
  • 7.3.3. Data Analytics
  • 7.3.4. others
• 7.4. Market Analysis, Insights and Forecast - By End User
  • 7.4.1. Airlines
  • 7.4.2. Airports
  • 7.4.3. OEMs
  • 7.4.4. MRO
• 7.5. Market Analysis, Insights and Forecast - By Country
  • 7.5.1. UK
    • 7.5.1.1. Market Analysis, Insights and Forecast - By Offering
      • 7.5.1.1.1. Software
      • 7.5.1.1.2. Hardware
      • 7.5.1.1.3. Service
  • 7.5.2. Germany
    • 7.5.2.1. Market Analysis, Insights and Forecast - By Offering
      • 7.5.2.1.1. Software
      • 7.5.2.1.2. Hardware
      • 7.5.2.1.3. Service
  • 7.5.3. France
    • 7.5.3.1. Market Analysis, Insights and Forecast - By Offering
      • 7.5.3.1.1. Software
      • 7.5.3.1.2. Hardware
      • 7.5.3.1.3. Service
  • 7.5.4. Russia
    • 7.5.4.1. Market Analysis, Insights and Forecast - By Offering
      • 7.5.4.1.1. Software
      • 7.5.4.1.2. Hardware
      • 7.5.4.1.3. Service
  • 7.5.5. Rest of Europe
    • 7.5.5.1. Market Analysis, Insights and Forecast - By Offering
      • 7.5.5.1.1. Software
      • 7.5.5.1.2. Hardware
      • 7.5.5.1.3. Service

8. Asia Pacific AI in Aviation Market Analysis, Insights and Forecast, 2019-2032

• 8.1. Market Analysis, Insights and Forecast - By Application
  • 8.1.1. Flight Operations
  • 8.1.2. Maintenance
  • 8.1.3. Air traffic management
  • 8.1.4. Others
• 8.2. Market Analysis, Insights and Forecast - By Offering
  • 8.2.1. Software
  • 8.2.2. Hardware
  • 8.2.3. Service
• 8.3. Market Analysis, Insights and Forecast - By Technology
  • 8.3.1. Machine Learning
  • 8.3.2. Computer vision
  • 8.3.3. Data Analytics
  • 8.3.4. others
• 8.4. Market Analysis, Insights and Forecast - By End User
  • 8.4.1. Airlines
  • 8.4.2. Airports
  • 8.4.3. OEMs
  • 8.4.4. MRO
• 8.5. Market Analysis, Insights and Forecast - By Country
  • 8.5.1. China
    • 8.5.1.1. Market Analysis, Insights and Forecast - By Offering
      • 8.5.1.1.1. Software
      • 8.5.1.1.2. Hardware
      • 8.5.1.1.3. Service
  • 8.5.2. India
    • 8.5.2.1. Market Analysis, Insights and Forecast - By Offering
      • 8.5.2.1.1. Software
      • 8.5.2.1.2. Hardware
      • 8.5.2.1.3. Service
  • 8.5.3. Japan
    • 8.5.3.1. Market Analysis, Insights and Forecast - By Offering
      • 8.5.3.1.1. Software
      • 8.5.3.1.2. Hardware
      • 8.5.3.1.3. Service
  • 8.5.4. South Korea
    • 8.5.4.1. Market Analysis, Insights and Forecast - By Offering
      • 8.5.4.1.1. Software
      • 8.5.4.1.2. Hardware
      • 8.5.4.1.3. Service
  • 8.5.5. Rest of Asia Pacific
    • 8.5.5.1. Market Analysis, Insights and Forecast - By Offering
      • 8.5.5.1.1. Software
      • 8.5.5.1.2. Hardware
      • 8.5.5.1.3. Service

9. Rest of the World AI in Aviation Market Analysis, Insights and Forecast, 2019-2032

• 9.1. Market Analysis, Insights and Forecast - By Application
  • 9.1.1. Flight Operations
  • 9.1.2. Maintenance
  • 9.1.3. Air traffic management
  • 9.1.4. Others
• 9.2. Market Analysis, Insights and Forecast - By Offering
  • 9.2.1. Software
  • 9.2.2. Hardware
  • 9.2.3. Service
• 9.3. Market Analysis, Insights and Forecast - By Technology
  • 9.3.1. Machine Learning
  • 9.3.2. Computer vision
  • 9.3.3. Data Analytics
  • 9.3.4. others
• 9.4. Market Analysis, Insights and Forecast - By End User
  • 9.4.1. Airlines
  • 9.4.2. Airports
  • 9.4.3. OEMs
  • 9.4.4. MRO
• 9.5. Market Analysis, Insights and Forecast - By Country
  • 9.5.1. Middle East & Africa
    • 9.5.1.1. Market Analysis, Insights and Forecast - By Offering
      • 9.5.1.1.1. Software
      • 9.5.1.1.2. Hardware
      • 9.5.1.1.3. Service
  • 9.5.2. Latin America
    • 9.5.2.1. Market Analysis, Insights and Forecast - By Offering
      • 9.5.2.1.1. Software
      • 9.5.2.1.2. Hardware
      • 9.5.2.1.3. Service

10. Competitive Analysis

• 10.1. Global Market Rank Analysis (2024)
• 10.2. Competitive Dashboard

11. Company Profiles

• 11.1. Intel (U.S.)
  • 11.1.1. Overview
  • 11.1.2. Products & services
  • 11.1.3. SWOT Analysis
  • 11.1.4. Recent Developments
  • 11.1.5. Strategies
  • 11.1.6. Financials (Based on Availability)
• 11.2. IBM (U.S.)
  • 11.2.1. Overview
  • 11.2.2. Products & services
  • 11.2.3. SWOT Analysis
  • 11.2.4. Recent Developments
  • 11.2.5. Strategies
  • 11.2.6. Financials (Based on Availability)
• 11.3. Airbus (Netherlands)
  • 11.3.1. Overview
  • 11.3.2. Products & services
  • 11.3.3. SWOT Analysis
  • 11.3.4. Recent Developments
  • 11.3.5. Strategies
  • 11.3.6. Financials (Based on Availability)
• 11.4. Thales Group (France)
  • 11.4.1. Overview
  • 11.4.2. Products & services
  • 11.4.3. SWOT Analysis
  • 11.4.4. Recent Developments
  • 11.4.5. Strategies
  • 11.4.6. Financials (Based on Availability)
• 11.5. Lockheed Martin Corporation (U.S)
  • 11.5.1. Overview
  • 11.5.2. Products & services
  • 11.5.3. SWOT Analysis
  • 11.5.4. Recent Developments
  • 11.5.5. Strategies
  • 11.5.6. Financials (Based on Availability)
• 11.6. General Electric Company (U.S.)
  • 11.6.1. Overview
  • 11.6.2. Products & services
  • 11.6.3. SWOT Analysis
  • 11.6.4. Recent Developments
  • 11.6.5. Strategies
  • 11.6.6. Financials (Based on Availability)
• 11.7. Boeing (U.S.)
  • 11.7.1. Overview
  • 11.7.2. Products & services
  • 11.7.3. SWOT Analysis
  • 11.7.4. Recent Developments
  • 11.7.5. Strategies
  • 11.7.6. Financials (Based on Availability)
• 11.8. Garmin (U.S.)
  • 11.8.1. Overview
  • 11.8.2. Products & services
  • 11.8.3. SWOT Analysis
  • 11.8.4. Recent Developments
  • 11.8.5. Strategies
  • 11.8.6. Financials (Based on Availability)
• 11.9. Northrop Grumman (U.S.)
  • 11.9.1. Overview
  • 11.9.2. Products & services
  • 11.9.3. SWOT Analysis
  • 11.9.4. Recent Developments
  • 11.9.5. Strategies
  • 11.9.6. Financials (Based on Availability)
• 11.10. Honeywell International Inc (U.S.)
  • 11.10.1. Overview
  • 11.10.2. Products & services
  • 11.10.3. SWOT Analysis
  • 11.10.4. Recent Developments
  • 11.10.5. Strategies
  • 11.10.6. Financials (Based on Availability)