Report Code : A11337
by offering, the software segment dominated the global aerospace artificial intelligence market in 2020, in terms of revenue. By technology, the machine learning segment is anticipated to show a lucrative growth during the forecast period. By application, the flight operations segment dominated the market in 2020, in terms of revenue. At present, North America is the highest revenue contributor, followed by Europe.”
Himanshu Joshi
Lead Analyst, Aerospace and Defense at Allied Market Research
According to a recent report published by Allied Market Research, titled, “aerospace artificial intelligence market by offering, technology, and application: global opportunity analysis and industry forecast, 2021–2028,” the global aerospace artificial intelligence market was valued at $373.6 million in 2020 and is projected to reach $5,826.1 million in 2028, registering a CAGR of 43.4%.
North America dominates the market, in terms of revenue, followed by Europe, Asia-Pacific, and LAMEA. U.S. dominated the global aerospace artificial intelligence market share in 2020, owing to the increase in R&D activities, technological developments by big players, and the rapid adoption of AI technologies in aerospace sector. Asia-Pacific region is expected to grow at a significant rate during the forecast period, owing to rise in the adoption of AI across various countries in the region. With implementation of AI, airlines would be able to better analyze customer demands to offer personalized services. In addition, airlines can also offer custom-made entertainment recommendations or other services by gathering and making use of data from on-board entertainment systems or personal devices. Other benefits of implementing AI include highly accurate, instantaneous weather conditions and information about turbulence to lessen missed connections and delays. Launch of various AI-powered solutions by big players such as Boeing, Airbus, IBM, and Microsoft, increasing partnerships among different AI firms, and rising investments for implementation of AI are promising for the aerospace sector as they are expected to offer new revenue streams to aerospace companies and create and transform air operations.
By offering, the market is categorized into software, hardware, and services. The software segment accounted for the highest revenue in 2020, owing to high demand for different AI-powered software used across various aerospace applications such as smart maintenance, manufacturing, training, and flight operations, among others, by aerospace agencies globally. AI-based services offer convenience for enterprises to easily adopt AI across several operation domains. The rising popularity of AI services is expected to grow in the future.
By technology, the aerospace artificial intelligence market is segregated into machine learning, natural language processing, computer vision, and context awareness computing. The machine learning segment dominated the market in 2020, owing to high demand for machine learning based models utilized for several purposes such as predictive maintenance, air traffic control, and others.
Increase in fuel efficiency by use of artificial intelligence (AI) and rise in use of AI to ensure safety at airports are expected to drive the global aerospace artificial intelligence market growth during the forecast period. However, stringent airline regulations and high cost of adoption of AI in aerospace is anticipated to hamper growth of the market during the forecast period. Moreover, use of AI to ensure operational efficiency and maintenance of airplanes is expected to offer growth opportunities for the market in the future.
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Key Findings Of The Study
Key players operating in the global aerospace artificial intelligence market include Airbus S.A.S., General Electric Company, Intel Corporation, International Business Machines Corporation (IBM), Iris Automation Inc., Microsoft Corporation, SITA, Spark Cognition, Thales Groups, and The Boeing Company.
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Aerospace Artificial Intelligence Market by Offering (Software, Hardware, and Services), Technology (Machine Learning, Natural Language Processing, Computer Vision, and Context Awareness Computing), and Application (Customer Service, Smart Maintenance, Manufacturing, Training, Flight Operations, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2028
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