Press release

# AI in Aviation Market to Reach USD 29.362 Billion by 2032 at 24.56% CAGR | Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft

08‑15‑2025 07:03 AM CET | Aerospace & Defense

Press release from: Delta Minds Research

AI in Aviation Market to Reach USD 29.362 Billion by 2032 , Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Micro

The Global AI in Aviation market size was estimated at USD 7.65 Billion in 2024 and is projected to reach USD 29.362 Billion in 2032, growing at a Compound annual growth rate (CAGR) of 24.56% during the forecast period 2025 to 2032. Key Points of AI in Aviation Market Covered: 
• Market Revenue of AI in Aviation Market from 2021 to 2032.
• Market Size of AI in Aviation Market from 2021 to 2032.
• Market Forecast for AI in Aviation Market from 2025 to 2032.
• Regional AI in Aviation Market Share and Revenue from 2021 to 2032.
• Countries Level Market Share within Region from 2021 to 2032.
• Company Market Share analysis, competitive scenario, ranking and detailed company profiles.
• Market Drivers, Market Restraints, and detailed COVID‑19 impact on AI in Aviation Market.

The AI in aviation market is experiencing rapid expansion as the aviation industry increasingly leverages artificial intelligence technologies to enhance operational efficiency, safety, customer experience, and revenue optimization. From predictive maintenance and automated flight planning to passenger service chatbots and real‑time air traffic management, AI‑driven innovations are transforming both commercial and defense aviation sectors worldwide.

In Asia, the India AI in aviation market is gaining momentum due to increased government investments in airport modernization, airline digitization, and AI‑driven air traffic control systems. The China AI in aviation market is at the forefront of adoption, with major airports integrating advanced AI analytics for passenger flow management, while airlines deploy machine learning algorithms for fuel optimization and flight safety. Similarly, the Japan AI in aviation market is capitalizing on robotics and AI for automated baggage handling, predictive aircraft maintenance, and next‑generation cockpit assistance systems.

In Europe, the Germany AI in aviation market is growing through strong R&D initiatives and the deployment of AI‑powered simulation and training platforms for pilots and ground crew. The Spain AI in aviation market is focusing on enhancing passenger experience with AI‑enabled biometric boarding and personalized in‑flight services. Meanwhile, the South Korea AI in aviation market is emerging as a hub for smart airport technologies and AI‑enhanced aircraft component manufacturing.

The GCC AI in aviation market is expanding rapidly as regional carriers and airports adopt AI solutions to improve operational reliability, reduce delays, and streamline security screening processes. Across global markets, the artificial intelligence in aviation market is supported by increasing demand for autonomous flight capabilities, enhanced decision‑making tools, and real‑time data analytics.

Beyond core operational applications, AI in aviation marketing is gaining importance as airlines use AI‑driven customer segmentation, demand forecasting, and personalized promotions to boost passenger engagement and loyalty. This integration of marketing intelligence with operational AI ensures a competitive advantage for airlines in both domestic and international markets.

Global AI in Aviation Market Report Segmentation:

The report projects revenue growth across, global, regional, and country levels, offering a comprehensive analysis of the latest industry trends, within each sub segments from 2021 to 2032. For this study, Delta Minds Research has categorized the AI in Aviation market by Application, by Deployment Mode, by Offering, by Technology, by Enterprise Size and by region.

AI in Aviation Market By Application (Revenue, USD Billion, 2021‑2032)
• Flight Operations
• Predictive Maintenance
• Air Traffic Management
• Passenger Experience

AI in Aviation Market By Deployment Mode (Revenue, USD Billion, 2021‑2032)
• Cloud
• On‑Premises

AI in Aviation Market By Offering (Revenue, USD Billion, 2021‑2032)
• Hardware
• Software
• Services

AI in Aviation Market By Technology (Revenue, USD Billion, 2021‑2032)
• Machine Learning
• Context Awareness Computing
• Natural Language Processing
• Computer Vision
• Others

AI in Aviation Market By Enterprise Size (Revenue, USD Billion, 2021‑2032)
• Virtual Assistance
• Smart Maintenance
• Manufacturing
• Training

AI in Aviation Market By End Use (Revenue, USD Billion, 2021‑2032)
• Commercial Aviation
• Military Aviation
• General Aviation

List of Key Players in AI in Aviation Market:
The top 10 key players covered and analyzed in detail for AI in Aviation are Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft, Garmin, Lockheed Martin.

Regional Analysis for AI in Aviation Market:

Asia Pacific: Strong adoption in the India AI in aviation market, China AI in aviation market, Japan AI in aviation market, and South Korea AI in aviation market due to rapid airport modernization, AI‑enabled maintenance, and aviation safety innovations.

Europe: The Germany AI in aviation market and Spain AI in aviation market benefit from advanced R&D, AI simulation platforms, and customer experience enhancements.

Middle East: The GCC AI in aviation market leads with large‑scale deployment of AI‑powered airport operations and security systems.

• North America (United States, Canada).
• Europe (UK, France, Italy, Spain, Russia, Denmark, Norway, Sweden, Rest of Europe).
• Asia Pacific (Japan, China, India, Australia, Thailand, South Korea, Rest of Asia Pacific).
• Latin America (Brazil, Mexico, Argentina, Rest of Latin America).
• Middle East and Africa (South Africa, Saudi Arabia, UAE, Kuwait, Rest of Middle East and Africa).

Frequently Asked Questions

Q1. How big is the AI in Aviation Market? Answer: The global AI in Aviation Market was valued at approximately USD 7.65 Billion in 2024 and is projected to witness significant growth over the forecast period, driven by increasing demand for sustainable agriculture practices and enhanced soil productivity.

Q2. What is the AI in Aviation Market Growth? Answer: The AI in Aviation Market is expected to grow at a Compound Annual Growth Rate (CAGR) of 24.56% from 2025 to 2032, supported by growing awareness about soil health, expanding agricultural activities, and rising adoption of organic farming techniques.

Q3. What is the market value of AI in Aviation Market in 2024? Answer: In 2024, the global AI in Aviation Market was valued at approximately USD 7.65 Billion, reflecting a steady increase in demand from key regions such as North America, Asia Pacific, and Europe, Latin America, Middle East and Africa.

Q4. What is the forecasted market value of AI in Aviation Market in 2032? Answer: By 2032, the global AI in Aviation Market is projected to reach USD 29.362 Billion, marking a strong upward trend fueled by technological advancements.

Q5. What is the Base year considered in the AI in Aviation Market? Answer: The base year considered for the AI in Aviation Market report is 2024, with the forecast period ranging from 2025 to 2032.

Q6. Which Region accounted for the largest AI in Aviation Market Share? Answer: In 2024, North America held the largest share in the AI in Aviation Market.

Q7. Who are the Top Key Players in AI in Aviation Market? Answer: Some of the major players operating in the AI in Aviation Market include Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft, Garmin, Lockheed Martin who focus on innovation, product expansion, and strategic partnerships to gain a competitive edge.

Q8. What are the factors driving the AI in Aviation Market? Answer: The growth of the AI in Aviation Market is primarily driven by increasing demand, ongoing technological advancements, expanding applications across industries, rising investments, and growing consumer awareness. Favourable government policies and global market expansion also contribute to sustained market development.

Q9. What are the restraining factors which will hinder the growth of AI in Aviation Market? Answer: Key challenges affecting the growth of the AI in Aviation Market include high implementation costs, regulatory hurdles, limited awareness in developing regions, and market saturation in mature economies. Additionally, supply chain disruptions and fluctuating raw material prices may pose constraints.

Company Name: Delta Minds Research
Name : Amol Thorat
Email : [email protected]
Contact Number: +81-070-8442-6646

Delta Minds Research is a globally recognized market intelligence firm that delivers high‑quality, data‑driven insights to businesses across a variety of industries. With a mission to empower companies to make informed decisions, Delta Minds Research has become a trusted partner for decision‑makers seeking in‑depth, actionable market intelligence. Through a commitment to accuracy, reliability, and affordability, the firm provides reports that not only support strategic initiatives but also drive growth, enhance competitive advantage, and unlock new opportunities in a rapidly changing marketplace. Delta Minds Research operates in a wide range of industries, providing deep insights and analysis to help companies navigate complex market environments. Our expertise spans technology, healthcare, finance, energy, manufacturing, logistics, e‑commerce, and many other sectors. By focusing on both emerging and established markets, Delta Minds Research is able to offer a comprehensive understanding of industry‑specific trends, challenges, and opportunities, making our reports indispensable for businesses striving to stay ahead of the competition.

AI in Aviation Market to Reach USD 29.362 Billion by 2032 at 24.56%

Delta Minds Research reports that the global AI in Aviation market was valued at USD 7.65 billion in 2024 and is projected to reach USD 29.362 billion by 2032, growing at a CAGR of 24.56% from 2025 to 2032. Key players include Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft, Garmin and Lockheed Martin. The report highlights regional growth in Asia‑Pacific (India, China, Japan, South Korea), Europe (Germany, Spain), North America, Latin America, and the Middle East and Africa, and outlines major AI applications such as flight operations, predictive maintenance, air traffic management and passenger experience.