The artificial intelligence (AI) in aviation market is experiencing rapid growth, driven by advancements in machine learning, computer vision, sensor fusion, and natural language processing. The market is expected to reach $4.86 billion by 2030, up from $1.75 billion in 2025, with a compound annual growth rate (CAGR) of 22.6%. Another estimate projects the market size to hit $20.63 million by 2034, growing at a CAGR of 14.80% from 2025 to 2034.
The growth of the AI in aviation market is driven by increasing air traffic and congestion, pushing aviation stakeholders to adopt AI-based traffic flow management and aircraft health monitoring. There is also a growing demand for digital aviation, with AI-powered passenger processing, biometric boarding, and apron monitoring systems. Rising investments in AI-focused start-ups and cloud service providers, such as Microsoft, AWS, and IBM, are also contributing to the market's growth.
The infrastructure segment is expected to hold the highest share of AI in the aviation market in 2025, driven by digital transformation at airports and ground facilities. Supervised learning is anticipated to lead the AI in aviation market due to its proven reliability, structured data requirements, and broad applicability across core aviation functions. Machine learning held the largest market share in 2024, with applications in predictive maintenance, weather forecasting, and air traffic control optimization.
North America is expected to lead the AI in aviation market, driven by mature aviation infrastructure, early adoption of advanced technologies, and strong presence of major airlines, OEMs, and technology providers. The Asia Pacific region is expected to expand at a solid CAGR during the forecast period, driven by growing demand for AI-powered solutions in aviation.
Key players in the AI in aviation market include Amadeus IT Group S.A., Honeywell International Inc., General Electric Company, Microsoft, and Amazon Web Services, Inc. The AI in aviation market is transforming the industry by enhancing operational efficiency, reducing delays, and improving passenger experience.
