ID: MRFR/ICT/5206-HCR | 100 Pages | Author: Shubham Munde | June 2023
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 39.10% during the forecast period of 2022-2030 and reach the valuation of USD 5.47 Billion by the end of 2030 from USD 113.29 Mn in 2022. 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
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.
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
By Equipment
By Technology
By Application
By Region
Report Attribute/Metric | Details |
---|---|
Market Size | USD 5.47 Billion |
CAGR | 39.10% (2022-2030) |
Base Year | 2021 |
Forecast Period | 2022-2030 |
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. |
The AI in aviation market is assessed to strike 39.10% CAGR.
The valuation of the AI in aviation market is poised to touch USD USD 5.47 Billion by 2030 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.
Key Questions Answered
Why Choose Market Research Future?