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)
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.
The major players operating in the global AI in aviation market are,
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.
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.
For the scope of report, MRFR offers a in-depth segmental analysis of the global AI in aviation market
| 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. |
AI In Aviation Market Highlights:
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.
Research Analyst Level II With a technical background in information technology & semiconductors, shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. he is the poc for our clients, for their consulting projects running under the ict/semiconductor domain. shubham holds a bachelor’s in information and technology and a master of business administration (mba). shubham has executed over 150 research projects for our clients under the brand name market research future in the last 2 years. his core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. he is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. he has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. he has worked on the projects of top tech brands such as ibm, google, microsoft, aws, meta, oracle, cisco systems, samsung, accenture, vmware, schneider electric, dell, hp, ericsson, and so many others. he has worked on metaverse, web 3.0, zero-trust security, cyber-security, blockchain, quantum computing, robotics, 5g technology, high-performance computing, data centers, ai, automation, it equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.
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