Global Artificial Intelligence in Aviation Market – Industry Trends and Forecast to 2030

Global Artificial Intelligence in Aviation Market, By Offering (Services, Hardware, Software), Technology (Computer Vision, Machine Learning, Context Awareness Computing, Natural Language Processing), Application (Dynamic Pricing, Virtual Assistants, Flight Operations, Smart Maintenance, Manufacturing, Surveillance, Training, Other Applications) - Industry Trends and Forecast to 2030.

Artificial Intelligence In Aviation Market Analysis and Size

The global artificial intelligence in aviation market is market focussing on the the application of AI technologies and solutions within the aviation industry. It involves the use of AI algorithms, machine learning, computer vision, natural language processing, robotics, and other AI techniques to enhance various aspects of aviation operations, safety, efficiency, and customer experience

Data Bridge Market Research analyses that the global artificial intelligence in aviation market which was USD 2,965 million in 2022, would rocket up to USD 9,500 million by 2030, and is expected to undergo a CAGR of 46.2% during the forecast period. This indicates the market value. The  “ software” dominates the offering segment of the global artificial intelligence in aviation market due to AI heavily relies on data to analyze patterns, make predictions, and derive insights. Software platforms enable the collection, storage, and processing of vast amounts of data from various sources within the aviation industry. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.

Artificial Intelligence In Aviation Market Scope and Segmentation

Market Definition

The global artificial intelligence in aviation market refers to to the application to the application of AI technologies and solutions within the aviation industry. It encompasses the use of AI algorithms, machine learning, computer vision, natural language processing, robotics, and other AI techniques to enhance various aspects of aviation operations, safety, efficiency, and customer experience. AI in the aviation market involves the development and implementation of intelligent systems that can analyze large volumes of data, make data-driven decisions, and perform tasks traditionally performed by humans. These AI systems can assist in flight operations, air traffic management, predictive maintenance, passenger services, security, and other areas within the aviation industry. The market encompasses the adoption and integration of AI technologies by food and beverage companies worldwide to achieve higher productivity, cost savings, improved decision-making, and enhanced customer satisfaction

Global Artificial Intelligence In Aviation Market Dynamics

Drivers

• Increasing Data Availability

The aviation industry generates vast amounts of data from various sources, including aircraft sensors, flight operations, air traffic management systems, passenger information, and maintenance records. The availability of this data provides a rich source for AI applications, enabling advanced analytics, machine learning, and predictive modeling

• Advanced Computing Power

The advancements in computing power, including cloud computing and high-performance processors, have facilitated the processing and analysis of large-scale data sets in real-time. AI algorithms require significant computational capabilities, and the availability of advanced computing infrastructure has made it feasible to implement AI solutions in aviation

• Cost Reduction and Efficiency Improvement:

The AI technologies offer opportunities for cost reduction and operational efficiency in aviation. By automating tasks, optimizing processes, and making data-driven decisions, AI can help airlines, airports, and other aviation stakeholders achieve significant cost savings and improve resource utilization. This includes optimizing fuel consumption, enhancing maintenance practices, improving crew scheduling, and streamlining air traffic management

Opportunity

The AI technologies enable the development and deployment of autonomous aircraft and drones. This opens up new possibilities for cargo transportation, aerial inspections, surveillance, and search-and-rescue operations. Autonomous systems powered by AI can operate efficiently, reduce human error, and enable cost-effective solutions in various aviation applications. The AI can play a significant role in optimizing air traffic management systems. By analyzing real-time data on air traffic flow, weather conditions, and airspace congestion, AI algorithms can optimize flight routes, predict traffic patterns, and improve overall airspace utilization. This leads to reduced delays, increased safety, and enhanced efficiency in managing air traffic

Restraint/Challenge

The aviation industry is highly regulated, and the introduction of AI technologies raises concerns regarding safety, security, and compliance with regulatory frameworks. Ensuring the safe and reliable operation of AI systems, addressing ethical considerations, and establishing standards and guidelines for AI in aviation can be complex and time-consuming. AI algorithms rely on high-quality and diverse datasets to make accurate predictions and decisions. However, in some cases, the availability of comprehensive and reliable aviation data may be limited. Ensuring data quality, consistency, and interoperability across different sources and systems is crucial for effective AI implementation in aviation

This global artificial intelligence in aviation market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the Pump Jack market c​​​​​​​ontact Data Bridge Market Research for an Analyst Brief, our team will help you make an informed market decision to achieve market growth

Recent Developments

• In October 2022 – Searidge Technologies creasted an AI powered software using NVIDIA GPUs. Its digital tower and apron solutions, use vision AI to manage traffic control for the airports and alert users of safety concern in real time
• In April 2022 -. Banglore International Airport Limited (BIAL) collaborated with Amazon to establish a Joint Innovation Center (JIC) and accelerated innovation in aviation

Global Artificial Intelligence in Aviation Market Scope

The global artificial intelligence in aviation market is segmented on the basis of offering, technology and application. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications

Offerings

• Service
• Hardware
• Software

Technologies

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

Applications

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

Global Artificial Intelligence In Aviation Market Regional Analysis/Insights

The global artificial intelligence in aviation market is analysed and market size insights and trends are provided by country, offering, technology and application as referenced above

The countries covered in the global artificial intelligence in aviation market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E., South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of the Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America

North America dominates the artificial intelligence in aviation market and will continue to flourish its trend of dominance due to the swift industrialization and presence of major key players in this region. Asia-Pacific is expected to grow during the forecast period from 2022 to 2029 due to the growing demand for AI technologies in aviation sector. The U.S. dominates the North America region because the country has a significant presence in the top market player in the region which provide all the services and prodicts in the market to the vast market size

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as down-stream and up-stream value chain analysis, technical trends, and Porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and the challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the country data  

AI growth Installed Base and New Technology Penetration

The global artificial intelligence in aviation market also provides you with a detailed market analysis for every country’s growth in aviation sector for capital equipment, installed base of different kinds of products, services for the market, the impact of technology using life line curves, and changes in healthcare regulatory scenarios and their impact on the global artificial intelligence in aviation market. The data is available for the historic period from 2010 to 2021

Competitive Landscape and Global Artificial Intelligence In Aviation Market Share Analysis

The global artificial intelligence in aviation market competitive landscape provides details by competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance. The above data points provided are only related to the companies' focus related to the global artificial intelligence in aviation market

Some of the major players operating in the global artificial intelligence in aviation market are

• IBM (U.S.)
• Microsoft (U.S.)
• Amazon Web Services, Inc. (U.S.)
• Airbus S.A.S. (U.S.)
• Xilinx (U.S.)
• NVIDIA Corporation (U.S.)
• Intel Corporation (U.S.)
• General Electric (U.S.)
• Micron Technology, Inc., (U.S.)
• Garmin Ltd. (U.S.)
• Lockheed Martin Corporation (U.S.)
• SAMSUNG (Sout Korea)
• Thales Group (France)
• MINDTITAN  (Estonia)
• Mitsubishi Electric Corporation (Japan)