Artificial Intelligence in Aviation Market by Size, Share, Forecast, & Trends

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Data Bridge Market Research analyses that the global artificial intelligence in aviation market which was USD 2,965 million in 2022, would rocket up to USD 9,500 million by 2030, and is expected to undergo a CAGR of 46.2% during the forecast period.

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Businesses today prefer market research reports like Artificial Intelligence in Aviation Market reports as they help in making better decisions, generating more revenue, prioritizing market goals and achieving profitable business. This market report contains chapters on the global market and related companies along with their profiles, which provide important data regarding their insights in terms of finances, product portfolios, investment plans, and market and business strategies. Exploitation of existing statistical tools and coherent models for market data analysis and forecasting makes the Artificial Intelligence in Aviation Market research report perform better.

Data Bridge Market Research analyses that the global artificial intelligence in aviation market which was USD 2,965 million in 2022, would rocket up to USD 9,500 million by 2030, and is expected to undergo a CAGR of 46.2% during the forecast period.

Explore Further Details about This Research Artificial Intelligence in Aviation Market Report

Artificial Intelligence In Aviation Market Scope and Segmentation



Forecast Period

2023 to 2030

Base Year


Historic Years

2021, Cusmizable Years (2015-2020)

Quantitative Units

Revenue in USD Million, Volumes in Units, Pricing in USD

Segments Covered

By Offering (Services, Hardware, Software), Technology (Computer Vision, Machine Learning, Context Awareness Computing, Natural Language Processing), Application (Dynamic Pricing, Virtual Assistants, Flight Operations, Smart Maintenance, Manufacturing, Surveillance, Training, Other Applications)

Countries Covered

U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America

Market Players Covered

IBM (U.S.), Microsoft (U.S.), Amazon Web Services, Inc. (U.S.), Airbus S.A.S. (U.S.), Xilinx (U.S.), NVIDIA Corporation (U.S.), Intel Corporation (U.S.), General Electric (U.S.), Micron Technology, Inc., (U.S.),  Garmin Ltd. (U.S.), Lockheed Martin Corporation (U.S.),  SAMSUNG (Sout Korea), Thales Group (France), MINDTITAN  (Estonia), Mitsubishi Electric Corporation (Japan)

Market Opportunities

  • Increasing autonomous aircraft and drones
  • Air traffic management optimization
  • Predictive maintenance and asset management


Market Definition

The global artificial intelligence in aviation market refers to to the application to the application of AI technologies and solutions within the aviation industry. It encompasses the use of AI algorithms, machine learning, computer vision, natural language processing, robotics, and other AI techniques to enhance various aspects of aviation operations, safety, efficiency, and customer experience. AI in the aviation market involves the development and implementation of intelligent systems that can analyze large volumes of data, make data-driven decisions, and perform tasks traditionally performed by humans. These AI systems can assist in flight operations, air traffic management, predictive maintenance, passenger services, security, and other areas within the aviation industry. The market encompasses the adoption and integration of AI technologies by food and beverage companies worldwide to achieve higher productivity, cost savings, improved decision-making, and enhanced customer satisfaction

Global Artificial Intelligence In Aviation Market Dynamics


  • Increasing Data Availability

The aviation industry generates vast amounts of data from various sources, including aircraft sensors, flight operations, air traffic management systems, passenger information, and maintenance records. The availability of this data provides a rich source for AI applications, enabling advanced analytics, machine learning, and predictive modeling

  • Advanced Computing Power

The advancements in computing power, including cloud computing and high-performance processors, have facilitated the processing and analysis of large-scale data sets in real-time. AI algorithms require significant computational capabilities, and the availability of advanced computing infrastructure has made it feasible to implement AI solutions in aviation

  • Cost Reduction and Efficiency Improvement:

The AI technologies offer opportunities for cost reduction and operational efficiency in aviation. By automating tasks, optimizing processes, and making data-driven decisions, AI can help airlines, airports, and other aviation stakeholders achieve significant cost savings and improve resource utilization. This includes optimizing fuel consumption, enhancing maintenance practices, improving crew scheduling, and streamlining air traffic management


The AI technologies enable the development and deployment of autonomous aircraft and drones. This opens up new possibilities for cargo transportation, aerial inspections, surveillance, and search-and-rescue operations. Autonomous systems powered by AI can operate efficiently, reduce human error, and enable cost-effective solutions in various aviation applications. The AI can play a significant role in optimizing air traffic management systems. By analyzing real-time data on air traffic flow, weather conditions, and airspace congestion, AI algorithms can optimize flight routes, predict traffic patterns, and improve overall airspace utilization. This leads to reduced delays, increased safety, and enhanced efficiency in managing air traffic

Key Insights Of Artificial Intelligence in Aviation Market Report

  • The report comprises a detailed analysis of different segments and offers market valuations between 2023 to 2030.
  • This study presents the analytical depiction of the Artificial Intelligence in Aviation Market with the current trends and future estimations to determine the imminent investment pockets
  • The report also reveals information with respect to key drivers, restraints, and opportunities coupled with a comprehensive analysis of the global Artificial Intelligence in Aviation Market
  • The forecast period of the  Artificial Intelligence in Aviation Market is assessed from 2024 to 2030 to highlight the Artificial Intelligence in Aviation Market growth scenario.
  • Porter’s five forces analysis establishes the effectiveness of the buyers and suppliers in the business line.
  • The key players in the industry are profiled to gain an understanding of the strategies adopted by them.
  • This report provides the current trends and future estimations during the forecast period, which in turn aids in identify the prevailing market opportunities.

The company portfolio includes company synopsis, operating business sectors, business overview, product/service categories, and recent growth strategies adopted by them.

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