
Global Artificial Intelligence (AI) in Aviation Market Size Study & Forecast, by Application (Flight Operations, Predictive Maintenance, Air Traffic Management), and Regional Forecasts 2022-2032
Description
The Global Artificial Intelligence (AI) in Aviation Market is valued at approximately USD 4.98 billion in 2024 and is projected to expand at a remarkable CAGR of 14.78% over the forecast period 2025–2035. As the aviation industry pushes boundaries in operational agility and customer-centric innovation, AI is redefining every altitude of performance—from cockpit to control tower. This paradigm shift is powered by machine learning algorithms, computer vision, natural language processing, and data analytics, transforming flight operations, predictive maintenance, and air traffic management into smart, self-optimizing systems. AI is being deployed across the aviation lifecycle to unlock efficiencies, cut costs, and heighten safety, while also offering a more seamless passenger experience both on-ground and in-flight.
The surge in global air travel and the evolution of next-gen aircraft platforms have propelled airlines and OEMs to double down on AI investments. Predictive maintenance has particularly emerged as a key game-changer—leveraging AI to forecast equipment failures, minimize downtime, and streamline part inventories. Meanwhile, AI-powered air traffic management systems are helping authorities handle congested airspaces by reducing delays and increasing throughput without compromising safety. On the passenger-facing front, airlines are integrating virtual assistants, facial recognition check-ins, and dynamic pricing models to personalize services and enhance convenience. Despite these advances, challenges such as high deployment costs, regulatory ambiguities, and the need for robust data infrastructure remain barriers, especially for developing aviation ecosystems.
Regionally, North America leads the AI in aviation market due to its strong concentration of aerospace giants, early technology adoption, and massive R&D spending. The U.S., in particular, is actively leveraging AI for military aviation modernization, drone intelligence, and commercial airline optimization. Europe is not far behind, benefitting from collaborative AI research programs and regulatory pushes toward digital air traffic modernization. The Asia Pacific region is projected to experience the fastest growth, driven by rising air traffic in economies like India and China, airport infrastructure expansion, and increasing airline investments in AI-based flight management systems. Meanwhile, Latin America and the Middle East & Africa are embracing AI to boost operational resilience, albeit at a more incremental pace due to infrastructure and funding constraints.
Major market players included in this report are:
• Airbus S.A.S
• Boeing Company
• IBM Corporation
• Microsoft Corporation
• Amazon Web Services, Inc.
• NVIDIA Corporation
• Lockheed Martin Corporation
• Thales Group
• General Electric Company
• Raytheon Technologies Corporation
• SITA
• Intel Corporation
• Collins Aerospace
• Garmin Ltd.
• Honeywell International Inc.
Global Artificial Intelligence (AI) in Aviation Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast Period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players.
By Application:
• Flight Operations
• Predictive Maintenance
• Air Traffic Management
• Passenger Experience
By Deployment Mode:
• Cloud
• On-Premises
By Component:
• Hardware
• Software
• Services
By End Use:
• Commercial Aviation
• Military Aviation
• General Aviation
By Region:
North America
• U.S.
• Canada
Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe
Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific
Latin America
• Brazil
• Mexico
Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.
Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.
The surge in global air travel and the evolution of next-gen aircraft platforms have propelled airlines and OEMs to double down on AI investments. Predictive maintenance has particularly emerged as a key game-changer—leveraging AI to forecast equipment failures, minimize downtime, and streamline part inventories. Meanwhile, AI-powered air traffic management systems are helping authorities handle congested airspaces by reducing delays and increasing throughput without compromising safety. On the passenger-facing front, airlines are integrating virtual assistants, facial recognition check-ins, and dynamic pricing models to personalize services and enhance convenience. Despite these advances, challenges such as high deployment costs, regulatory ambiguities, and the need for robust data infrastructure remain barriers, especially for developing aviation ecosystems.
Regionally, North America leads the AI in aviation market due to its strong concentration of aerospace giants, early technology adoption, and massive R&D spending. The U.S., in particular, is actively leveraging AI for military aviation modernization, drone intelligence, and commercial airline optimization. Europe is not far behind, benefitting from collaborative AI research programs and regulatory pushes toward digital air traffic modernization. The Asia Pacific region is projected to experience the fastest growth, driven by rising air traffic in economies like India and China, airport infrastructure expansion, and increasing airline investments in AI-based flight management systems. Meanwhile, Latin America and the Middle East & Africa are embracing AI to boost operational resilience, albeit at a more incremental pace due to infrastructure and funding constraints.
Major market players included in this report are:
• Airbus S.A.S
• Boeing Company
• IBM Corporation
• Microsoft Corporation
• Amazon Web Services, Inc.
• NVIDIA Corporation
• Lockheed Martin Corporation
• Thales Group
• General Electric Company
• Raytheon Technologies Corporation
• SITA
• Intel Corporation
• Collins Aerospace
• Garmin Ltd.
• Honeywell International Inc.
Global Artificial Intelligence (AI) in Aviation Market Report Scope:
• Historical Data – 2023, 2024
• Base Year for Estimation – 2024
• Forecast Period – 2025–2035
• Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players.
By Application:
• Flight Operations
• Predictive Maintenance
• Air Traffic Management
• Passenger Experience
By Deployment Mode:
• Cloud
• On-Premises
By Component:
• Hardware
• Software
• Services
By End Use:
• Commercial Aviation
• Military Aviation
• General Aviation
By Region:
North America
• U.S.
• Canada
Europe
• UK
• Germany
• France
• Spain
• Italy
• Rest of Europe
Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• Rest of Asia Pacific
Latin America
• Brazil
• Mexico
Middle East & Africa
• UAE
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2025 to 2035.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.
Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.
Table of Contents
285 Pages
- Chapter 1. Global Artificial Intelligence in Aviation Market Report Scope & Methodology
- 1.1. Research Objective
- 1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
- 1.3. Research Attributes
- 1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
- 1.5. Research Assumptions
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study
- Chapter 2. Executive Summary
- 2.1. CEO/CXO Standpoint
- 2.2. Strategic Insights
- 2.3. ESG Analysis
- 2.4. Key Findings
- Chapter 3. Global Artificial Intelligence in Aviation Market Forces Analysis
- 3.1. Market Forces Shaping the Global AI in Aviation Market (2024-2035)
- 3.2. Drivers
- 3.2.1. Surge in Global Air Travel and Next-Gen Aircraft Investments
- 3.2.2. Predictive Maintenance Adoption to Reduce Downtime
- 3.2.3. AI-Powered Air Traffic Management for Congested Airspaces
- 3.2.4. Passenger-Facing AI: Virtual Assistants, Facial Recognition, Dynamic Pricing
- 3.3. Restraints
- 3.3.1. High Deployment and Integration Costs
- 3.3.2. Regulatory Ambiguities and Certification Hurdles
- 3.3.3. Insufficient Data Infrastructure in Emerging Markets
- 3.4. Opportunities
- 3.4.1. Rapid Growth in Asia Pacific Air Traffic and Infrastructure Expansion
- 3.4.2. Military Aviation Modernization and Drone Intelligence
- 3.4.3. OEM-Airline Collaborations on AI-Driven Flight Operations
- Chapter 4. Global Artificial Intelligence in Aviation Industry Analysis
- 4.1. Porter’s Five Forces Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter’s Five Forces Forecast Model (2024-2035)
- 4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top Investment Opportunities
- 4.5. Top Winning Strategies (2025)
- 4.6. Market Share Analysis (2024-2025)
- 4.7. Global Pricing Analysis and Trends 2025
- 4.8. Analyst Recommendations & Conclusion
- Chapter 5. Global AI in Aviation Market Size & Forecasts by Application 2025-2035
- 5.1. Market Overview
- 5.2. Global AI in Aviation Market Performance – Potential Analysis (2025)
- 5.3. Flight Operations
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis, by Region, 2025-2035
- 5.4. Predictive Maintenance
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.4.2. Market Size Analysis, by Region, 2025-2035
- 5.5. Air Traffic Management
- 5.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.5.2. Market Size Analysis, by Region, 2025-2035
- 5.6. Passenger Experience
- 5.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.6.2. Market Size Analysis, by Region, 2025-2035
- Chapter 6. Global AI in Aviation Market Size & Forecasts by Deployment Mode 2025-2035
- 6.1. Market Overview
- 6.2. Global AI in Aviation Market Performance – Potential Analysis (2025)
- 6.3. Cloud
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis, by Region, 2025-2035
- 6.4. On-Premises
- 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.4.2. Market Size Analysis, by Region, 2025-2035
- Chapter 7. Global AI in Aviation Market Size & Forecasts by Component 2025-2035
- 7.1. Market Overview
- 7.2. Global AI in Aviation Market Performance – Potential Analysis (2025)
- 7.3. Hardware
- 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.3.2. Market Size Analysis, by Region, 2025-2035
- 7.4. Software
- 7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.4.2. Market Size Analysis, by Region, 2025-2035
- 7.5. Services
- 7.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.5.2. Market Size Analysis, by Region, 2025-2035
- Chapter 8. Global AI in Aviation Market Size & Forecasts by End Use 2025-2035
- 8.1. Market Overview
- 8.2. Global AI in Aviation Market Performance – Potential Analysis (2025)
- 8.3. Commercial Aviation
- 8.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.3.2. Market Size Analysis, by Region, 2025-2035
- 8.4. Military Aviation
- 8.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.4.2. Market Size Analysis, by Region, 2025-2035
- 8.5. General Aviation
- 8.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.5.2. Market Size Analysis, by Region, 2025-2035
- Chapter 9. Global AI in Aviation Market Size & Forecasts by Region 2025-2035
- 9.1. Market, Regional Snapshot
- 9.2. Top Leading & Emerging Countries
- 9.3. North America AI in Aviation Market
- 9.3.1. U.S. AI in Aviation Market
- 9.3.1.1. Application & Segment Breakdown, 2025-2035
- 9.3.2. Canada AI in Aviation Market
- 9.3.2.1. Application & Segment Breakdown, 2025-2035
- 9.4. Europe AI in Aviation Market
- 9.4.1. UK AI in Aviation Market
- 9.4.1.1. Application & Segment Breakdown, 2025-2035
- 9.4.2. Germany AI in Aviation Market
- 9.4.2.1. Application & Segment Breakdown, 2025-2035
- 9.4.3. France AI in Aviation Market
- 9.4.3.1. Application & Segment Breakdown, 2025-2035
- 9.4.4. Spain AI in Aviation Market
- 9.4.4.1. Application & Segment Breakdown, 2025-2035
- 9.4.5. Italy AI in Aviation Market
- 9.4.5.1. Application & Segment Breakdown, 2025-2035
- 9.4.6. Rest of Europe AI in Aviation Market
- 9.4.6.1. Application & Segment Breakdown, 2025-2035
- 9.5. Asia Pacific AI in Aviation Market
- 9.5.1. China AI in Aviation Market
- 9.5.1.1. Application & Segment Breakdown, 2025-2035
- 9.5.2. India AI in Aviation Market
- 9.5.2.1. Application & Segment Breakdown, 2025-2035
- 9.5.3. Japan AI in Aviation Market
- 9.5.3.1. Application & Segment Breakdown, 2025-2035
- 9.5.4. Australia AI in Aviation Market
- 9.5.4.1. Application & Segment Breakdown, 2025-2035
- 9.5.5. South Korea AI in Aviation Market
- 9.5.5.1. Application & Segment Breakdown, 2025-2035
- 9.5.6. Rest of Asia Pacific AI in Aviation Market
- 9.5.6.1. Application & Segment Breakdown, 2025-2035
- 9.6. Latin America AI in Aviation Market
- 9.6.1. Brazil AI in Aviation Market
- 9.6.1.1. Application & Segment Breakdown, 2025-2035
- 9.6.2. Mexico AI in Aviation Market
- 9.6.2.1. Application & Segment Breakdown, 2025-2035
- 9.7. Middle East & Africa AI in Aviation Market
- 9.7.1. UAE AI in Aviation Market
- 9.7.1.1. Application & Segment Breakdown, 2025-2035
- 9.7.2. Saudi Arabia AI in Aviation Market
- 9.7.2.1. Application & Segment Breakdown, 2025-2035
- 9.7.3. South Africa AI in Aviation Market
- 9.7.3.1. Application & Segment Breakdown, 2025-2035
- 9.7.4. Rest of Middle East & Africa AI in Aviation Market
- 9.7.4.1. Application & Segment Breakdown, 2025-2035
- Chapter 10. Competitive Intelligence
- 10.1. Top Market Strategies
- 10.2. Airbus S.A.S
- 10.2.1. Company Overview
- 10.2.2. Key Executives
- 10.2.3. Company Snapshot
- 10.2.4. Financial Performance (Subject to Data Availability)
- 10.2.5. Product/Services Portfolio
- 10.2.6. Recent Development
- 10.2.7. Market Strategies
- 10.2.8. SWOT Analysis
- 10.3. Boeing Company
- 10.4. IBM Corporation
- 10.5. Microsoft Corporation
- 10.6. Amazon Web Services, Inc.
- 10.7. NVIDIA Corporation
- 10.8. Lockheed Martin Corporation
- 10.9. Thales Group
- 10.10. General Electric Company
- 10.11. Raytheon Technologies Corporation
- 10.12. SITA
- 10.13. Intel Corporation
- 10.14. Collins Aerospace
- 10.15. Garmin Ltd.
- 10.16. Honeywell International Inc.
- List of Tables
- Table 1. Global AI in Aviation Market, Report Scope
- Table 2. Global AI in Aviation Market Estimates & Forecasts By Region 2024–2035
- Table 3. Global AI in Aviation Market Estimates & Forecasts By Application 2024–2035
- Table 4. Global AI in Aviation Market Estimates & Forecasts By Deployment Mode 2024–2035
- Table 5. Global AI in Aviation Market Estimates & Forecasts By Component 2024–2035
- Table 6. Global AI in Aviation Market Estimates & Forecasts By End Use 2024–2035
- Table 7. U.S. AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 8. Canada AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 9. UK AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 10. Germany AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 11. France AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 12. Spain AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 13. Italy AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 14. Rest of Europe AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 15. China AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 16. India AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 17. Japan AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 18. Australia AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 19. South Korea AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 20. Rest of Asia Pacific AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 21. Brazil AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 22. Mexico AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 23. UAE AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 24. Saudi Arabia AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 25. South Africa AI in Aviation Market Estimates & Forecasts 2024–2035
- Table 26. Rest of Middle East & Africa AI in Aviation Market Estimates & Forecasts 2024–2035
- List of Figures
- Figure 1. Global AI in Aviation Market, Research Methodology
- Figure 2. Global AI in Aviation Market, Market Estimation Techniques
- Figure 3. Global Market Size Estimates & Forecast Methods
- Figure 4. Global AI in Aviation Market, Key Trends 2025
- Figure 5. Global AI in Aviation Market, Growth Prospects 2024–2035
- Figure 6. Global AI in Aviation Market, Porter’s Five Forces Model
- Figure 7. Global AI in Aviation Market, PESTEL Analysis
- Figure 8. Global AI in Aviation Market, Value Chain Analysis
- Figure 9. AI in Aviation Market By Application, 2025 & 2035
- Figure 10. AI in Aviation Market By Deployment Mode, 2025 & 2035
- Figure 11. AI in Aviation Market By Component, 2025 & 2035
- Figure 12. AI in Aviation Market By End Use, 2025 & 2035
- Figure 13. North America AI in Aviation Market, 2025 & 2035
- Figure 14. Europe AI in Aviation Market, 2025 & 2035
- Figure 15. Asia Pacific AI in Aviation Market, 2025 & 2035
- Figure 16. Latin America AI in Aviation Market, 2025 & 2035
- Figure 17. Middle East & Africa AI in Aviation Market, 2025 & 2035
- Figure 18. Global AI in Aviation Market, Company Market Share Analysis (2025)
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