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AI In Aviation Market Research Report by Type (Hardware, Software, Services), Equipment (Autocollimator, Measuring Microscope, Profile Projector, and Others), Technology (Machine Learning, Natural Language Processing, Computer Vision, and Others), Application (surveillance, virtual assistance, flight operations, smart logistics, and Others), and Region‚ÄďGlobal Forecast to 2032


ID: MRFR/ICT/5206-HCR | 100 Pages | Author: Shubham Munde| June 2024

AI In Aviation Market Overview


Rapid development of artificial intelligence technology and increased incorporation of AI in aviation is aiding the aviation industry in optimizing various processes from passenger experience to flight operations. Market Research Future's report on the global AI in aviation market is projected to grow from USD  3.41 Billion in 2023 to USD  31.01 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 27.80% during the forecast period (2024 - 2032).


Figure1: AI In Aviation Market, 2018 - 2032 (USD Billion)


AI In Aviation Market Overview


Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review


Increasing adoption of automation and utilization of big data in aerospace industry are majorly driving the growth of the global AI in aviation market. High demand for process optimization and automatic improvement of performance through machine learning are also fueling the expansion of the global AI in aviation market.


MRFR's research report provides a comprehensive and unbiased analysis of market dynamics in the global AI in aviation market. It includes discussion on historical and current market dynamics, growth opportunities and challenges backed by fact-based feedbacks. The primary types of technologies that are covered in the report are hardware, software and services. The types of equipment that are assessed in the report on the global AI in aviation market are machine learning, natural language processing, context awareness computing and computer vision. For opportunity analysis, the application areas of AI in aviation are surveillance, virtual assistance, flight operations, smart logistics, smart maintenance, training, dynamic pricing, manufacturing and others. The sub-markets that are included in the report are profiled under major regions such as North America, Asia Pacific (APAC), Europe and the rest of the world, with respective country-level analysis.


AI is quickly changing the aviation sector and has the potential to completely redefine air travel from the cockpit to the ground. AI-powered systems are already being utilised to boost sustainability, effectiveness, and safety, and their influence is only anticipated to increase in the coming years.


Companies Covered


The major players operating in the global AI in aviation market are,



  • Intel Corporation

  • Garmin Ltd.

  • IBM Corporation

  • Airbus SE

  • Boeing

  • General Electric

  • Amazon

  • Microsoft Corporation

  • NVIDIA Corporation

  • Neurala Inc

  • Samsung Electronics

  • Micron Technology

  • Xilinx

  • Thales S.A.

  • Lockheed Martin Corporation

  • Northrop Grumman Corporation

  • Pilot AI Labs

  • IRIS Automation

  • Innovative Binaries

  • Cognitive Code

  • Searidge Technologies


Research Methodology


MRFR utilizes its multi-layered and iterative research module to ensure the deliverance of highly qualitative and quantitative analysis of growth opportunities, current market trends, market challenges and consumer as well as competitive landscape. The primary and secondary research processes are utilized to ensure accuracy and objectivity of the research findings. Primary data is collected by carrying out surveys and personal interviews with the key opinion makers across the value chain. Secondary research processes verify the primary data through inputs from white paper references, SEC filings, paid databases, research publications and other sources available in public domain. The top-down and bottom-up approaches are utilized for delivering highly accurate market insights.


Latest Industry News:


November 2023:


The collaboration between Riyadh Air and IBM signifies a pivotal integration of AI in aviation, aiming to revolutionize travel experiences. Riyadh Air plans to leverage AI for personalized services and seamless journeys, while IBM's support in establishing a hybrid cloud integration platform underscores AI's role in optimizing operations and enhancing in-flight entertainment systems. This partnership highlights AI's transformative potential in driving innovation, efficiency, and customer satisfaction within the aviation industry.


March 2023:


Airbus and its subsidiary, Airbus UpNext, have achieved in-flight autonomous guidance and control of a drone using an A310 MRTT, marking a milestone towards Autonomous Formation Flight and Autonomous Air-to-Air refueling (A4R). The technology aims to reduce crew fatigue, minimize human error, and enhance operational efficiency, potentially revolutionizing future aerial operations involving manned and unmanned assets. The project, named Auto'Mate, integrates AI algorithms for accurate relative navigation, intra-flight communication, and cooperative control algorithms.


March 2023:


Boeing and Shield AI have signed a memorandum of understanding to explore collaboration in autonomous capabilities and artificial intelligence for defense programs. Shield AI's AI pilot, Hivemind, has flown various aircraft and can enable autonomous operation of drones and aircraft without GPS or human pilots. The collaboration aims to integrate Shield AI's AI pilot technology with Boeing aircraft to enhance their capabilities significantly. Shield AI is a venture-backed defense technology company focused on developing intelligent systems for protecting service members and civilians.


Segmental Analysis


For the scope of report, MRFR offers a in-depth segmental analysis of the global AI in aviation market


By Type    




  • Hardware


    • Processors

    • Memory

    • Networks






  • Software


    • AI Platform

    • AI Solution






  • Services


    • Integration & Deployment

    • Support & Maintenance




By Equipment



  • Autocollimator

  • Measuring Microscope

  • Profile Projector

  • Optical Digitizers & Scanners (ODS)

  • Co-ordinate Measuring Machine (CMM)

  • Vision Measuring Machine (VMM)


 By Technology




  • Machine Learning (Leading)


    • Deep Learning

    • Supervised Learning

    • Unsupervised Learning

    • Semi-supervised learning

    • Reinforcement Learning






  • Natural Language Processing



  • Context Awareness Computing



  • Computer Vision



By Application

  • Surveillance

  • Virtual Assistance

  • Flight Operations

  • Smart Logistics

  • Smart Maintenance

  • Training

  • Dynamic Pricing

  • Manufacturing

    • Material Movement

    • nspection & Predictive Maintenance

    • Production Planning

    • Quality Control

    • Waste Reclamation



  • Others


By Region


  • North America

  • Europe

  • Asia Pacific

  • Rest of the world

Report Attribute/Metric Details
  Market Size   USD 31.01 Billion
  CAGR   27.80% (2024-2032)
  Base Year   2023
  Forecast Period   2024 -2032
  Historical Data   2020
  Forecast Units   Value (USD Million)
  Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
  Segments Covered   by Type, Technology
  Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
  Key Vendors   Intel Corporation, Garmin Ltd., IBM Corporation, Airbus SE, Boeing, General Electric, Amazon, Microsoft Corporation, NVIDIA Corporation, Neurala Inc., Samsung Electronics, Micron Technology, Xilinx, Thales S.A., Lockheed Martin Corporation, Northrop Grumman Corporation, Pilot AI Labs, IRIS Automation, Innovative Binaries, Cognitive Code and Searidge Technologies.
  Key Market Opportunities   For opportunity analysis, the application areas of AI in aviation are surveillance, virtual assistance, flight operations, smart logistics, smart maintenance, training, dynamic pricing, manufacturing and others.
  Key Market Drivers   The majorly driving the growth of the global AI in aviation market. High demand for process optimization and automatic improvement of performance through machine learning are also fueling the expansion of the global AI in aviation market.


Frequently Asked Questions (FAQ) :

The AI in aviation market is assessed to strike 27.80% CAGR.

The valuation of the AI in aviation market is poised to touch USD 31.01 Billion by 2032 end.

Key players of the AI in aviation market are Intel Corporation, IBM Corporation, Garmin Ltd., Airbus SE, General Electric, Amazon, Boeing, Microsoft Corporation, Neurala Inc., NVIDIA Corporation, Samsung Electronics, Xilinx, Micron Technology, Thales S.A., Northrop Grumman Corporation, Cognitive Code, Lockheed Martin Corporation, Pilot AI Labs, Innovative Binaries, IRIS Automation, and Searidge Technologies.

The technology-based segments of the AI in aviation market are natural language processing, computer vision, machine learning, and others.

The application-based segments of the AI in aviation market profiled are smart logistics, virtual assistance, surveillance, flight operations, and Others

The adoption of cloud based services turn out to be easy and is the major factor driving the global integrated systems market.

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