Global Artificial Intelligence in Aviation Market was valued at US $ 65.3 billion in 2023 and is expected to reach US $ 99.85 billion by 2032 growing at a CAGR of 41.95% during the forecast period 2024 – 2032. The widespread application of big data analytics in the aerospace industry will boost the growth rate of the global Ai in aviation market with considerable figures during the prediction timeframe. Development of global AI for aviation market is increased by increase of aerospace industry expenditure in cloud service technology and products. Airports, as well as the airline industry are continually taking advantage of state-of-the-art tools such as artificial intelligence to improve service delivery towards customers. Some of these reasons include the need for higher profits, increased operating costs among others and adoption of artificial intelligence in aviation. Air travel plays a critical role in international transportation and is responsible for increased attention provided by the aviation industry towards elevating consumer services with demand driven by artificial intelligence. AI-enabled chatbots have become popular in flight booking by passengers.

This will involve application of AI and machine leaning in air traffic control and predictive maintenance soon. Application of machine learning for observation tasks like computer vision, natural language processing, and time series analysis. The aviation operations, however, require constant research and continued progress; moreover, the increase in funding will eventually give birth to exponential growth of AI application in aviation operations, taking into consideration the dynamics involved. In addition, Airbus is partnering with EHang, a Chinese corporation, in creating intelligent navigation technology. At the commencement Airbus and vision-based AI during phase of take-off. Thus, increased application of AI for different functions within an aviation enterprise stimulates the development of worldwide AI in aviation sector.

The Artificial Intelligence in Aviation Trend Analysis

Advances are continuing in fields of artificial intelligence, machine learning, and big-data analytics. These advancements provide avenues of optimising aviation operations and aviation services. However, AI is capable of reading through big data generated from aircraft systems and sensors and extracting information to improve performance, fuel efficiency and decision-making.

British Airways was able to save more than a hundred thousand tons of fuel in just one month of January 2023, employing artificial intelligence as an aid for choosing the optimal route. Airline used an AI system, which looked at millions of data point per route and generated optimal flight paths for every route. Therefore, British Airline saved USD 10million per annum in terms of reducing petroleum consumption by one percent. As a result of these actions, it may prove cost efficient to expand the market size, which might act as catalysts for the same.

Segmentation Analysis of the Artificial Intelligence in Aviation Market

Offering Insights

In relation to this, the software submarket was leading globally on AI in aviation in 2021. Adopting new AI-oriented software application in airlines, runway, surveillance and airports has led to a tremendous growth in the software industry through heavy investment in development and research. There are APIs for speech, sensor data, language and vision and machine learning algorithms that allow one to build different kinds of software in the aviation industry.

The services sector will lead by exhibiting the fastest growth rate during the forecast period. This may be due to increased reliance on the professional services of highly skilled AI specialists, whose main job is to effectively use such systems. A deficiency in AI skills among airline employees will drive the development of the global market for AI in aviation.

Technology Insights

Machine learning generated the highest revenue among the other technologies when considering a global aviation industry view for AI in 2021. The rising need for data collection and the data requirements in international aviation are propelling the machine learning systems. With current machine learning capabilities, this technology is far superior to the classical trajectory calculation models for flight paths.

During this period, NLP field appears to have been the most promising one. Deep learning can encode words and phrases into tickets, invoices, etc. In addition, it’s straightforward for NLG to turn this into more structured texts. Recurring Defects management in NLP also detects potential repetitive aircraft deficits. Adoption within the industry by several other NLP functions including revenue management is gaining speed fast especially in customer interaction evaluation and feedback analysis.

Application Insights

The application proved in 2021 that the virtual assistants segment was dominant of the global the AI in aviation. Through AI tech powered virtual assistants, pilates manage to reduce or eliminate lots of repetitious chores normally undertaken by pilots such as radio channel switching, wind prediction and informing the location in real time whenever need arises. Therefore, the virtual assistant is very common since it absolves pilots from monotonous tasks. Additionally, the rising trend in the utilisation of virtual assistants that improve client support and responding minor inquiries about products and services like flight updates will form one of the reasons behind this growth during the outlook period. Virtual assistants facilitate easy flow of airports for passengers. Similarly, it assists the passengers via giving them instructions on security issues such as safety guidelines and other safety checks processes etcetera, through virtual assistants at the security point.

Regional Analysis of the Artificial Intelligence in Aviation Market

In terms of the global AI in aviation market as at 2021, North America was a frontrunner. A burgeoning trend in North American aviation sees increasing movement towards locally made RDTs due to high demand for digital and innovative technologies in North America. There is likely to be a high investment costs associated with the use of AI on airports and aircraft considering more air visitors and high demand for air transport. An increase in international flights within the US and Canada is a result of the increase in global trade. These technologies include incorporation of AI-based technologies, which are utilized in the air traffic management systems adopted in NORTH AMERICA. For instance, growth evident in the investments made by airlines towards incorporating artificial intelligence to improve on customer services, reduce operational costs and enhance profitability in the north American market supports market expansion.

However, Asia-Pacific is expected to record the most promising growth opportunities in the forecast period. Some specific examples include New Zealand, China, India, Thailand, south Korea, and Australia. One of the most populous regions in the world happens to be Asia Pacific. As a result, it comes as no surprise that tourism sector activity, expected to boost cross-regional air traffic, will further fuel development of the Asia Pacific AI in aviation market.

Impact on Covid-19

The effect that the covid 19 has on the Ai market in aviation industry was very significant. Low money, few permitted travels, and sparse air traffic slowed down airlines’ access to technology advancement as well as some scientific researches. As an illustration, proposals that would improve passengers’ experience and automated air traffic control were impeded as well. In the first place, the airlines started cutting down their expenditure thereby reducing their ability to fund artificial intelligence. While, some airline industries like smart predicting management system remained famous despite their grounded planes.

Top Key Players Covered Artificial Intelligence in Aviation Market

• Samsung Electronics
• Intel
• Xilinx
• Thales
• IBM
• Amazon
• Nvidia
• Microsoft
• Garmin
• Lockheed Martin

Key Industry Developments in the Artificial Intelligence in Aviation Market

• In July 2021, Tata Power and Autogrid entered into an agreement whose purpose was rolling out the residential demand response program targeted at improving consumer acceptance on demand response.
• In June 2020, SparkCognition (an artificial intelligence company) joined forces with Boeing to create SkyGrid. SkyGrid aims to create an operating system in the air that would support the coming unmanned aerial vehicles (UAVs).

Table of Contents

1. Introduction Of Global Artificial Intelligence in Aviation Market 
   1. Overview of the Market
   2. Scope of Report
   3. Assumptions
2. Executive Summary
3. Research Methodology
   1. Data Mining
   2. Validation
   3. Primary Interviews
   4. List of Data Sources
4. Global Artificial Intelligence in Aviation Market Outlook
   1. Overview
   2. Market Dynamics
      1. Drivers
      2. Restraints
      3. Opportunities
   3. Porters Five Force Model
      1. Bargaining Power of Suppliers
      2. Threat of New Entrants
      3. Threat of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power among Buyers
   4. Value Chain Analysis
5. Global Artificial Intelligence in Aviation Market,By Offering
   1. Overview
   2. Hardware
   3. Software
   4. Services
6. Global Artificial Intelligence in Aviation Market, By Technology
   1. Overview
   2. Machine Learning
   3. Context Awareness
   4. Computing
   5. Natural Language Processing
   6. Computer Vision
   7. Others
7. Global Artificial Intelligence in Aviation Market, By Application
   1. Smart Maintenance
   2. Training
   3. Manufacturing
   4. Flight Operations
   5. Virtual Assistants
   6. Dynamic Pricing
   7. Surveillance
   8. Others
8. Global Artificial Intelligence in Aviation Market By Region
   1. North America
      1. U.S.
      2. Canada
   2. Europe
      1. Germany
      2. U.K.
      3. France
      4. Rest of Europe
   3. Asia Pacific
      1. China
      2. Japan
      3. India
      4. South Korea
      5. Singapore
      6. Malaysia
      7. Australia
      8. Thailand
      9. Indonesia
      10. Philippines
      11. Rest of Asia Pacific
   4. Others
      1. Saudi Arabia
      2. U.A.E.
      3. South Africa
      4. Egypt
      5. Israel
      6. Rest of Middle East and Africa (MEA)
      7. Brazil
      8. Argentina
      9. Mexico
      10. Rest of South America
9. Company Profiles
   1. Samsung Electronics
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   2. Intel
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   3. Xilinx
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   4. Thales
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   5. IBM
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   6. Amazon
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   7. Nvidia
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   8. Microsoft
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   9. Garmin
      1. Company Overview
      2. Key Executives
      3. Operating Business Segments
      4. Product Portfolio
      5. Financial Performance (As per availability)
      6. Key News
   10. Lockheed Martin
       1. Company Overview
       2. Key Executives
       3. Operating Business Segments
       4. Product Portfolio
       5. Financial Performance (As per availability)
       6. Key News

Global Artificial Intelligence in Aviation Market Segmentation

Artificial Intelligence in Aviation by Offering: Market Size & Forecast 2024-2032

• Hardware
• Software
• Services

Artificial Intelligence in Aviation by Technology: Market Size & Forecast 2024-2032

• Machine Learning
• Context Awareness Computing
• Natural Language Processing
• Computer Vision
• Others

Artificial Intelligence in Aviation by Application: Market Size & Forecast 2024-2032

• Smart Maintenance
• Training
• Manufacturing
• Flight Operations
• Virtual Assistants
• Dynamic Pricing
• Surveillance
• Others

Artificial Intelligence in Aviation by Geography: Market Size & Forecast 2024-2032

• North America (USA, Canada, Mexico)
• Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
• Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
• South America (Brazil, Argentina, Columbia, Rest of South America)
• Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Major Players:

• Samsung Electronics
• Intel
• Xilinx
• Thales
• IBM
• Amazon
• Nvidia
• Microsoft
• Garmin
• Lockheed Martin