Artificial Intelligence in Aviation Market Dynamics
Artificial Intelligence in Aviation Market Dynamics
Drivers: Surge in usage in the aviation sector and virtual assistants
The main drivers influencing the growth of A.I. in the aviation market are the use of vast data in the aerospace sector, the large increase in capital investments made by aviation companies, and the expanding acceptance of cloud-based applications and services. Services and systems, including baggage screening, passenger identification and maintenance, customer assistance, aircraft fuel optimization, facial recognition, and many others, are examples of the aviation industry's use of artificial intelligence. Automation in the aviation industry would increase customer happiness and system efficiency. New sectors, such as big data and cloud-based apps, are created when technology develops.
Restraints: High cost of A.I. technologies coupled with implementation complexities
Artificial intelligence's development in the aviation industry is being constrained by high prices for A.I. technology and the difficulty of deployment. A.I. technology has some drawbacks, such as the fact that it takes longer to implement and cannot be used as an ideal tool for customer support. Accidental deaths may come from the failure of A.I. systems like the Maneuvering Characteristics Augmentation System (MCAC). The use of A.I. technologies in various airlines is constrained by their high cost and implementation complexity, stifling the development of artificial intelligence in the aviation sector.
Opportunities: Increasing adoption of chat platforms & customer interaction systems
A significant factor fueling the growth of artificial intelligence in the aviation market is the increasing deployment of chat platforms and consumer engagement systems for personalized travel experiences. Airlines may increase pilot productivity and efficiency by using AI-powered chatbots to automate routine activities like changing radio stations, reading wind forecasts, and delivering positional information. Real-time responses to questions about onboard services or offers, like flight status, can be provided by virtual support powered by A.I. Passengers may book and arrange vacations with these AI-powered services. Long-term market growth for artificial intelligence in aviation can be attributed to these factors.
The software category is estimated to be the largest growth in the steam engine market during the forecast period
The software category dominated the market. The exponential rise of the software market has been attributed to the quick development and investments in AI-based software for use in airport operations, surveillance, and flight operations. The A.I. systems contain software that realizes numerous applications in the aviation sector, including speech, sensor data, language, vision, and machine learning algorithms.
Machine learning is estimated to be the largest growing market category during the forecast period
The machine learning segment is projected to grow the fastest during the forecast period. The global demand for machine learning technology in the aviation industry is rapidly increasing due to the rising demand for big data analytics and the expanding necessity for data collection. The machine learning sector now holds a dominant position in the global A.I. aviation market thanks to the improved ability of machine learning technology to conduct difficult and impossible calculations.
The North American segment is estimated to be the largest growing market during the forecast period
North America is the largest artificial intelligence in the aviation market and is projected to grow at the highest CAGR during the forecast period. The region has a developed air transportation infrastructure, and increasing expenditures are being made in implementing cutting-edge digital and new technologies, which has fueled the expansion of North American A.I. in the aviation market. Significant investments are anticipated to be made in implementing A.I. technology at airports and on airplanes due to the enormous demand for air travel and the growing number of air travelers in the region. The increased international travel in the U.S. and Canada results from business globalization. One of the first regions in the aviation sector to use AI-based technologies in North America.
Key Market Players
Artificial intelligence in the aviation market is dominated by a few global players and comprises several regional players. Some key manufacturers in the market are Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft, Garmin and Lockheed Martin.
Recent Developments
- In July 2022, Microsoft unveiled Project AirSim, a comprehensive platform for advancing autonomous flight. Project AirSim is a Microsoft Azure platform that uses high-fidelity simulation to create, train, and autonomously test aircraft. It creates enormous data for training A.I. models using the system's computational capability.
- In June 2022, IBM expanded its Robotic Process Automation (RPA) service to automate internal operations and boost employee productivity. The technology enhances people management for higher-value work and optimizes and monitors operations and procedures.
- In July 2021, Tata Power partnered with Autogrid to launch a residential demand response program to increase consumer acceptance of demand response.
- In June 2020, to create SkyGrid, an aerial operating system supporting the next generation of autonomous aviation, an A.I. firm named SparkCognition partnered with Boeing.
Segmentation of Global Artificial Intelligence in Aviation Market
Global Artificial Intelligence in Aviation Market – By Offering
- Hardware
- Software
- Services
- Machine Learning
- Context Awareness Computing
- Natural Language Processing
- Computer Vision
- Others
- Smart Maintenance
- Training
- Manufacturing
- Flight Operations
- Virtual Assistants
- Dynamic Pricing
- Surveillance
- Others
- North America
- U.S.
- Canada
- Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- South-east Asia
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- GCC Countries
- South Africa
- Rest of Middle East and Africa
