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Artificial Intelligence in Commercial Airline Market (Offering - Hardware, Software, and Services; Solution - Predictive Maintenance, Revenue Management, Workforce Optimization, Fuel Consumption Optimization, and Others; Technology - Machine Learning, Natural Language Processing, Context Awareness Computing, and Computer Vision): Global Industry Analysis, Trends, Size, Share and Forecasts to 2027

Artificial Intelligence in Commercial Airline Market (Offering - Hardware, Software, and Services; Solution - Predictive Maintenance, Revenue Management, Workforce Optimization, Fuel Consumption Optimization, and Others; Technology - Machine Learning, Natural Language Processing, Context Awareness Computing, and Computer Vision): Global Industry Analysis, Trends, Size, Share and Forecasts to 2027

Report Code: AT00229 Category: Automotive, Aerospace & Defence Published: August, 2021

A recent report published by Infinium Global Research on artificial intelligence in commercial airline market provides in-depth analysis of segments and sub-segments in the global as well as regional artificial intelligence in commercial airline market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional artificial intelligence in commercial airline market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global artificial intelligence in commercial airline market. According to the report, the global artificial intelligence in commercial airline market is projected to grow at a robust CAGR over the forecast period of 2021-2027.

 

Market Insight

Artificial intelligence was developed to provide reliable and faster business processes compared to the manual workforce. The development and adoption of AI have played an important role in a wide variety of industries. Businesses can improve the effectiveness of services with improved productivity with the help of AI. Moreover, artificial intelligence offers a number of features including speech recognition, learning, planning, and problem-solving. With such capabilities, AI can help businesses in the service sector such as commercial airline companies to provide an efficient operational environment. Integrating AI with the business system helps to enhance the quality of the customer experience. However, the hesitation for accepting artificial intelligence among the service providers is a major challenge for the players in the market.

 

The growing investment in artificial intelligence across the world is majorly driving AI in the commercial airline market. Furthermore, the increasing adoption of automation and industry 4.0 initiatives is further augmenting the demand for AI in commercial airlines. Organizations are becoming increasingly automated, self-monitoring, and self-correcting as the devices are able to communicate with each other and their human co-workers. On the other hand, the lack of awareness, and training among the workforce is anticipated to hinder the market growth. Investments in AI technology are increasing over the past few years. However, the lack of skills and experience associated with AI is still a major challenge for the industry. Nevertheless, the adoption of automation technologies to lower the impact of COVID-19 is likely to offer opportunities for market players. Shortage of labor due to government restrictions, and concern of the spread of infection is driving the demand for automation across the service sector.

 

In terms of regions, North America generated the largest revenue in the global AI in the commercial airline market due to the American leadership in the field of AI. Government programs such as American Artificial Intelligence Initiative maintains the United States leadership in AI technology a top priority. The commercial airline industry in the U.S. is anticipated to experience an encouraging growth as several companies are investing heavily on AI technology to maintain their inventories and reduce the cost. Nonetheless, the Asia Pacific region is expected to grow at an exceptional rate due to China’s adoption of the technology in its industrial manufacturing operations. Moreover, the presence of several leading players in India and China is likely to be a key factor driving the adoption of AI technology in this region.

 

Segment Covered

The report on global artificial intelligence in commercial airline market covers segments such as offering, solution, and technology. On the basis of offering, the sub-markets include hardware, software, and services. On the basis of solution, the sub-markets include predictive maintenance, revenue management, workforce optimization, fuel consumption optimization, and others. On the basis of technology, the sub-markets include machine learning, natural language processing, context awareness computing, and computer vision.

 

Artificial Intelligence in Commercial Airline Market


Companies Profiled:

The report provides profiles of the companies in the market such as Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Micron Technology, Inc., Airbus S.A.S., Boeing Company, Garmin Ltd., Lockheed Martin Corporation, and Thales Group.

 

Report Highlights:

The report provides deep insights into the demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of artificial intelligence in commercial airline market. Moreover, the study highlights current market trends and provides forecasts from 2021-2027. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.


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