AI in Aviation Market

The AI in aviation market is expected to reach USD 4.86 billion by 2030, from USD 1.75 billion in 2025, with a CAGR of 22.6%. This growth is driven by the increasing adoption of AI across commercial aviation for applications such as predictive maintenance, intelligent flight operations, air traffic management, and passenger personalization. AI technologies, including machine learning, computer vision, and natural language processing, are being embedded in aircraft systems, airport infrastructure, and airline operations to improve efficiency, safety, and user experience. The transition toward smarter, data-driven aviation ecosystems, fueled by digital transformation and cloud adoption, is a major growth catalyst. Additionally, the use of AI for emission tracking and fuel optimization aligns with industry-wide sustainability goals. Leading players in the AI in aviation market include Amadeus IT Group S.A. (Spain), Honeywell International Inc. (US), General Electric Company (US), Microsoft (US), and Amazon Web Services, Inc. (US). These companies offer AI-enabled solutions and platforms that support real-time decision-making, operational automation, and enhanced situational awareness across all aviation stakeholders.

To know about the assumptions considered for the study download the pdf brochure

Major AI in Aviation Companies Include:

• Amadeus IT Group S.A. (Spain)
• Honeywell International Inc. (US)
• General Electric Company (US)
• Microsoft (US)
• Amazon Web Services, Inc. (US)

Amadeus IT Group S.A.  (Spain)

Amadeus IT Group S.A. is a global travel technology provider, increasingly integrating AI into its aviation solutions. The company serves airlines, airports, travel agencies, and other aviation stakeholders through its core offerings in passenger service systems. Its AI capabilities enhance predictive maintenance, personalized passenger experiences, and dynamic pricing through platforms like Altéa and Amadeus SkySYM. Amadeus leverages AI to forecast disruptions, optimize flight schedules, and automate customer interactions. The company’s deep data assets from its global distribution system (GDS) provide a strong foundation for AI model training, positioning it as a key enabler of intelligent aviation ecosystems. Through partnerships with cloud and data analytics providers, Amadeus continues to scale its AI use cases, with a focus on improving operational efficiency and enhancing traveler engagement.

Honeywell International Inc. (US)

Honeywell International Inc. leverages AI across its aerospace segment to support predictive maintenance, autonomous flight systems, and real-time aircraft performance monitoring. Honeywell Forge, the company’s key aviation platform, uses AI-driven analytics to reduce downtime, optimize fuel consumption, and enhance fleet utilization. AI is also embedded in its flight management systems (FMS), cabin systems, and advanced avionics, enabling smarter aircraft operations and more informed decision-making. Honeywell’s AI-enabled health monitoring tools support maintenance crews by identifying potential failures before they occur. Moreover, its AI capabilities support sustainable aviation efforts through emissions tracking and optimization. The company is pushing the boundaries of intelligent aviation by integrating machine learning, sensor fusion, and edge AI into cockpit and maintenance workflows.

General Electric Company (US)

GE Aerospace, a division of General Electric Company, is a key AI innovator in aviation, focusing on optimizing engine performance, predictive diagnostics, and digital twins. Through its suite of AI-powered analytics solutions, such as FlightPulse and Prognostic Health Management, the company enables airlines to monitor engine health in real time and reduce unplanned maintenance events. AI models are trained on vast operational data sets collected from GE engines operating globally, enhancing fleet reliability. Its digital twin technology, powered by AI, simulates engine behavior to predict future issues and recommend proactive measures. GE’s AI research also advances additive manufacturing and quality control in aerospace production. Furthermore, GE Digital supports airline operations by leveraging AI for fuel optimization, emissions analysis, and flight route planning. The company’s commitment to generative AI was underscored in 2024 by the launch of an enterprise-wide AI platform tailored to aviation, aiming to improve safety, sustainability, and productivity.

Microsoft (US)

Microsoft plays a fundamental role in AI in aviation through its Azure cloud platform and AI services that power digital transformation for airlines and airports. The company provides scalable AI tools such as computer vision, natural language processing, and predictive analytics to optimize aviation workflows. Airlines use Microsoft AI to automate customer service via chatbots, enhance MRO through computer vision for defect detection, and improve operational decision-making with real-time data analytics. Microsoft’s AI tools are embedded in partnerships with aviation solution providers like SITA and Collins Aerospace, offering services from AI-driven airport flow management to smart baggage handling. Its AI is also deployed in aircraft health monitoring, sustainability tracking, and digital twins. In 2024, the company expanded its AI offerings with co-pilots for aviation workflows, supporting pilot assistance, route optimization, and scenario simulation. With robust cloud infrastructure, continuous AI innovation, and a strong aviation partner network, Microsoft is a central force in enabling AI adoption across the aviation value chain.

Amazon Web Services, Inc. (AWS) (US)

AWS provides critical AI infrastructure and tools for aviation stakeholders, enabling them to build, train, and deploy machine learning models at scale. Through services like Amazon SageMaker, the company allows airlines and airports to implement AI for passenger personalization, fraud detection, predictive maintenance, and route optimization. Major aviation players use AWS to host digital twins of fleets, analyze sensor data, and simulate flight conditions. AWS AI services power virtual assistants, biometric boarding, and smart scheduling systems across multiple airports and airline platforms. The company has strategically collaborated with aerospace OEMs and aviation software vendors to embed AI capabilities into connected aircraft systems. With high-performance computing capabilities and integrated IoT-AI platforms, AWS helps aviation customers achieve cost savings and operational improvements.

Market Ranking Analysis, 2024

The top five players in the AI in aviation market are ranked based on a thorough analysis of their revenues across all market sectors, product portfolios, individual product performance, recent advancements, and geographic reach. Revenue earnings from this specific segment, offering diversification and innovation, strategic growth initiatives including partnerships, and technological advancement are all included. The strength of the companies’ worldwide presence and leadership of key regional markets must also be taken into consideration when determining their level of competitive positioning.

Related Reports:

AI in Aviation Market by Solution (Infrastructure, Software, Services), Business Function (Flight Operations, Maintenance & Safety, Airport Operation, R&D), End User (Airlines, Airports, OEM, MRO), Technology and Region – Global Forecast to 2030

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA : 1-888-600-6441
sales@marketsandmarkets.com