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), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029
Market Analysis and Insights Global Artificial Intelligence in Aviation Market
Data Bridge Market Research analyses the artificial intelligence in aviation market will exhibit a CAGR of 46.3% for the forecast period of 2022-2029 and is likely to reach the USD 9,995.84 million by 2029.
In aviation ground operations, such as air traffic control and real-time support systems, artificial intelligence technology is applied. In the aviation industry, artificial intelligence (AI) aids in the improvement of predictive maintenance and air traffic control operations. Artificial intelligence in aviation comprises the integration of services and systems such as automated baggage check-in, facial recognition, customer service, and aircraft fuel optimization, among others. When it comes to artificial intelligence in the aviation industry, these functions are used to reduce employee labor intensity and assure the effective and smooth operation of particular procedures. Certain aspects of the aviation industry have been automated, allowing for more effective handling of general systems and improved customer satisfaction.
The upsurge in the utilization of big data in aerospace industry will act as a key element driving market expansion. The artificial intelligence in aviation market is also being driven by factors such as rise in the capital investments by aviation companies and growing adoption of cloud-based applications and services in aviation sector. Furthermore, growing demand for process optimization will act as a major factor influencing the growth of artificial intelligence in aviation market. Another significant factor that will cushion the artificial intelligence in aviation market’s growth rate is the automatic improvement of performance through machine learning. In addition to this, other factors will expand the artificial intelligence in aviation market.
Moreover, growing adoption of artificial intelligence to enhance customer services will create beneficial opportunities for the growth of the market. Additionally, the improved operational efficiency along with the help of AI in aviation industry will act as market driver and further boost new opportunities in the forecast period mentioned above. Also, surveillance, flight operations, virtual help, smart logistics, training, smart maintenance, dynamic pricing, manufacturing, and others are some of the application areas of AI in aviation that will create more opportunities for artificial intelligence in aviation market in the future.
However, the less number of experts in artificial intelligence and high investment cost will hamper the market’s growth rate. Also, concerns linked with data privacy will further pose a challenge to the market. Another factor is the lack of skilled labor for analysing huge data recorded will obstruct the market’s growth.
This artificial intelligence in aviation market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised 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, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence in aviation market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence in Aviation Market Scope and Market Size
The artificial intelligence in aviation market is segmented on the basis of technology, offering and application. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of technology, the artificial intelligence in aviation has been segmented into computer vision, machine learning, context awareness computing and natural language processing. Machine learning is further segmented into deep learning, supervised learning, unsupervised learning, reinforcement learning and semi-supervised learning.
- Based on offering, the artificial intelligence in aviation market has been segmented into hardware, software and services. Hardware is further segmented into processors, memory and networks. Software is further segmented into AI solutions and AI platforms. Services are further segmented into deployment and integration and support and maintenance.
- On the basis of application, the artificial intelligence in aviation market has been segmented into dynamic pricing, virtual assistants, flight operations, smart maintenance, manufacturing, surveillance, training and other applications. Manufacturing is further segmented into material movement, predictive maintenance and machinery inspection, production planning, quality control and reclamation.
Artificial Intelligence in Aviation Market Country Level Analysis
The artificial intelligence in aviation market is analysed and market size, volume information is provided by country, technology, offering and application as referenced above.
The countries covered in the 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, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of 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 of 2022-2029 due to the growing demand for AI technologies in aviation sector.
The country section of the artificial intelligence in aviation market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Artificial Intelligence in Aviation Market Share Analysis
The artificial intelligence in aviation market competitive landscape provides details by competitor. 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, application dominance. The above data points provided are only related to the companies’ focus related to artificial intelligence in aviation market.
Some of the major players operating in the artificial intelligence in aviation market are IBM, Microsoft, Amazon Web Services, Inc., Airbus S.A.S., Xilinx, NVIDIA Corporation, Intel Corporation, General Electric, Micron Technology, Inc., Garmin Ltd., Lockheed Martin Corporation, SAMSUNG, Thales Group, MINDTITAN, Mitsubishi Electric Corporation, OMRON Corporation, TAV Technologies and IRIS Automation, among others.
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