AI In Aviation Market Research Report-Global Forecast till 2027

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–Global Forecast to 2027

ID: MRFR/ICT/5206-HCR | February 2021 | Region: Global | 100 pages

Market Snapshot


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 anticipated to expand at a striking CAGR of 46.83% during the forecast period of 2017-2023 and reach the valuation of 1014.81 Mn by the end of 2023 from USD 113.29 Mn in 2017. 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.


Report Overview


This MRFR's research report offers a detailed and unbiased analysis of key 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.


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 and 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.


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 Scope:
Report Attribute/Metric Details
  Market Size

  • USD 1014.81 Million (2017-2023)
  • USD 113.29 Million (2017)
  •   CAGR   46.83% (2017-2023)
      Base Year   2019
      Forecast Period   2020-2027
      Historical Data   2018
      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 46.83% CAGR.

    The valuation of the AI in aviation market is poised to touch USD 1014.81 Mn by 2023 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