Artificial Intelligence in Aviation Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

MARKET OVERVIEW

Growing urbanization has resulted in advent of several disruptive technologies including the artificial intelligence. The AI has become integrated fragment of almost the sectors and recently the technology has also taken a plunge into aviation sector. AI in aviation industry are being applied in diverse fields of applications such as revenue managmenet, air safety, airplane maintenance, feedback analysis, crew management, and messaging automation. The use of AI in aviation leads to increase in speed, effiecienct, and safety in operations driving different players to develop advanced technology for the customers.

MARKET SCOPE

The "Global Artificial Intelligence in Aviation Market Analysis to 2031" is a specialized and in-depth study of the aerospace and defense industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence in aviation market with detailed market segmentation by type, category, distribution channel, and geography. The report provides key statistics on the market status of the leading artificial intelligence in aviation market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

•   Based on Offering, the market is segmented as Software, Service.
•   On the basis of the Technology, the market is segmented as Machine Learning, Natural Language Processing (NlP), Context Awareness Computing, and Computer Vision
•   Based on End User, the market is classified as Smart Maintenance, Flight Operations, Training, Surveillance, and Others.

MARKET DYNAMICS

Drivers:

•   Readily available advanced computing capabilities
•   Explosion in the data availability and processing needs.
•   Aviation industry is extensively investing in its IT and analytics capabilities.
•   Integration of connectivity on-board is also expected to provide the market with significant growth motivation.

Restraints

•   Data security and privacy issues

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence in aviation market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence in aviation market in these regions.

IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN AVIATION MARKET

The COVID-19 pandemic has led to one of the biggest challenges to the sustainability of the aviation industry at the global level. There is a tremendous shift in the airport operations and several other passenger-processing changes due to the fast-spreading nature of this disease. The aviation industry, particularly the airport sector, is focusing on providing the passenger a different quality level of service in comparison to the previous norms. Many steps have been taken by air companies and the International Air Transport Association (IATA) to prevent the spread of COVID-19. For instance, according to IATA, flights are categorized into three levels: (1) high-risk flights, (2) medium-risk flights, and (3) low-risk flights, and differentiated prevention and control measures are applied after a comprehensive evaluation of the outbreak at the place of origin of the flights. Thus, the airport management is bound to be more proactive and capable of implementing digital transformation to ensure the passengers safe and healthy air travel. Therefore, due to rising need of automation of various scheduled tasks of aviation operations and efficiency in operational performance, the artificial intelligence in aviation market is growing during the recovery of aviation industry from the impact of COVID-19.

MARKET PLAYERS

The report covers key developments in the artificial intelligence in aviation market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from artificial intelligence in aviation market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence in aviation in the global market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence in aviation market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.

•   AIRBUS
•   AMAZON
•   BOEING
•   INTEL CORPORATION
•   IBM CORP.
•   MICRON
•   MICROSOFT
•   NVIDIA
•   SAMSUNG
•   XILINX INC.
  
  

The Insight Partner’s dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

Artificial Intelligence in Aviation Report Scope