Artificial Intelligence in Aviation Market Size, Share, Trend, Forecast, Competitive Analysis, and Growth Opportunity: 2023-2029
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Artificial Intelligence in Aviation Market Size, Share, Trend, Forecast, Competitive Analysis, and Growth Opportunity: 2023-2029
Global Artificial Intelligence in Aviation Market, By Offering Type (Software, Hardware, Services), by Technology Type (Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision), by Application Type (Smart Maintenance, Flight Operations, Training, Surveillance, Virtual Assistants, Dynamic Pricing, Manufacturing), and Region – Russia-Ukraine War Impact Analysis and Forecast to 2029.
Global Artificial Intelligence in Aviation Market, By Offering Type (Software, Hardware, Services), by Technology Type (Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision), by Application Type (Smart Maintenance, Flight Operations, Training, Surveillance, Virtual Assistants, Dynamic Pricing, Manufacturing), and Region...
The global artificial intelligence in aviation market is expected to grow from USD 1.13 billion in 2022 to USD 6.08 billion by 2029 at a CAGR of 27.2% during the forecast period.
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What is Artificial Intelligence in Aviation?
Artificial Intelligence (AI) is being increasingly used in the aviation industry to improve safety, efficiency, and passenger experience. AI algorithms can assist pilots with tasks such as flight planning, navigation, and weather monitoring, improving the accuracy of decision-making and reducing the risk of accidents. AI can also optimize aircraft performance, reducing fuel consumption and emissions.
In addition, AI can improve airport operations by providing real-time monitoring of air traffic, baggage handling, and security screening. AI-powered chatbots and virtual assistants can also enhance passenger experience by providing personalized assistance and reducing waiting times. Overall, AI in aviation is transforming the industry by making it safer, more efficient, and more passenger-centric. As the technology continues to advance, even more innovative applications of AI in aviation are expected in the future.
Key Players
The major players operating in the global artificial intelligence in aviation market are:
NVIDIA
Samsung Electronics
Xilinx
Intel
Micron
Microsoft
IBM
Amazon
Airbus
Boeing
GE
Thales
Lockheed Martin
Garmin
IRIS Automation
Neurala
Kittyhawk
Pilot AI Labs
Northrop Grumman
Paladin: Paradigm Knowledge Solutions
Cognitive Code
Searidge Technologies
Innovative Binaries
Market Dynamics
The AI in aviation market is primarily driven by several key factors, which include the utilization of big data within the aerospace industry, a significant rise in capital investments by aviation companies, and an increasing adoption of cloud-based applications and services throughout the aviation industry. As airline companies seek to avoid disruptions in passenger services, there is a substantial opportunity for the artificial intelligence market within the aviation sector.
AI can facilitate real-time decision-making processes, reducing the need for human intervention and thereby improving overall operational efficiency. However, it should be noted that AI systems are not infallible and may occasionally make errors during analysis or when making real-time decisions, which could present a challenge to the growth of the AI in aviation market.
Incresased usage of virtual assistants in the aviation sector
The growth of AI in the aviation market is being propelled by several key factors, including the extensive use of large data sets in the aerospace industry, a significant increase in capital investments by aviation companies, and a growing adoption of cloud-based applications and services in the aviation sector.
AI is already being integrated into various services and systems within the aviation industry, such as baggage screening, passenger identification, maintenance, customer support, facial recognition, and aircraft fuel optimization, among others. Automation in aviation has the potential to enhance customer satisfaction and improve the overall efficiency of the system. With the continuous advancement of technology, new industries are emerging, such as big data and cloud-based applications.
The integration of big data in the aviation industry can have several benefits, including enabling smart maintenance, optimizing fuel efficiency, enhancing services, and improving security. AI solutions can provide cost-effective and efficient management of services, further driving the growth of artificial intelligence within the aviation market. This can result in improved operational performance and timely delivery of services, ultimately enhancing the overall customer experience.
Over the forecast period, virtual assistants are projected to see significant growth and hold the largest market share among all AI applications in the aviation industry. By leveraging AI-based virtual assistants, airline companies can enhance their productivity and pilot efficiency by delegating recurring tasks such as changing radio channels, reading wind forecasts, and providing position information upon request. These repetitive tasks in the aviation industry are now being managed by AI-enabled virtual assistants.
Segment Analysis
Offering Insights
The largest share of the overall AI in aviation market is held by software offerings. This can be attributed to the advancements in AI software designed for various applications, including surveillance, flight operations, and airport operations. AI systems typically consist of software components such as application program interfaces, which encompass language, speech, vision, and sensor data, as well as machine learning algorithms. These components work in tandem to enable a wide range of AI applications within the aviation industry.
Technology Insights
During the forecast period, machine learning is expected to hold the largest share among all technologies within the AI in aviation market. This can be attributed to machine learning's capacity to collect and manage large datasets, as well as its enhanced ability to perform calculations that were previously considered impossible. These factors are driving the growth of the machine learning market within the aviation industry.
Application Insights
Throughout the forecast period, virtual assistants are anticipated to have the largest share of the AI in aviation market among all applications. AI-powered virtual assistants assist airline companies in enhancing productivity and increasing pilot efficiency by handling repetitive tasks such as changing radio channels, providing position information upon request, and reading wind forecasts.
Garmin (US) provides AI-equipped audio panels that allow pilots to operate them without removing their hands from the controls. Additionally, virtual assistants assist airline companies in improving customer service. Virtual assistants are capable of quickly providing answers to basic inquiries related to flight status, as well as available services like audio, video, and Wi-Fi, freeing up customer representatives to address more pressing concerns and improve overall customer experience.
Airports also use virtual assistants to assist air travelers in various ways. For instance, Barcelona (Spain) airport has implemented a virtual assistant in the security line to assist passengers with check-in procedures and security instructions. With the benefits that these systems offer, it is expected that airline companies will adopt virtual assistants on a large scale in the near future.
Geographic Analysis
Between 2022 and 2029, the AI in aviation market in Asia Pacific is expected to experience significant growth. This growth can be attributed to the substantial demand for AI technologies in countries like China and Japan to enhance the efficiency of their aviation industry.
For instance, Alibaba Group Holding Limited (China) has recently announced its plans to provide AI-based solutions to alleviate congestion at Beijing Airport, making it easier for pilots to find parking slots for their aircraft. Additionally, the growing use of machine learning and natural language processing (NLP) technologies in virtual assistance and training applications within the aviation industry is fueling the market's growth in Asia Pacific.
Research Methodology
This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data.
We conducted more than 15 detailed primary interviews with the market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.
Report Features
This report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision making for the existing market players as well as those willing to enter the market. The following are the key features of the report:
Market structure: Overview, industry life cycle analysis, supply chain analysis.
Market Environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis.
Market trend and forecast analysis.
Market segment trend and forecast.
Competitive landscape and dynamics: Market share, Product Portfolio, New Product Launches, etc.
Attractive market segments and associated growth opportunities.
Emerging trends.
Strategic growth opportunities for the existing and new players.
Key success factors.
Customization Options
With this detailed report, Stratview Research offers one of the following free customization options to our respectable clients:
Company Profiling
Detailed profiling of additional market players (up to three players)
SWOT analysis of key players (up to three players)
Competitive Benchmarking
Benchmarking of key players on the following parameters: product portfolio, geographical reach, regional presence, and strategic alliances
Custom Research: Stratview research offers custom research services across the sectors. In case of any custom research requirement related to market assessment, competitive benchmarking, sourcing and procurement, target screening, and others, please send your inquiry to sales@Stratviewresearch.com
Recent Developments
In October 2022, Searidge Technologies created an AI-powered software using NVIDIA GPUs. Its Digital Tower and Apron solutions, use vision AI to manage traffic control for airports and alert users of safety concerns in real time. The solutions help the aviation industry avoid traffic related issues, increasing efficiency and enhancing safety for airports.
In April 2022, Bangalore International Airport Limited (BIAL) collaborated with Amazon to establish a Joint Innovation Center (JIC), and accelerate innovation in aviation.
In April 2022, Boeing and Microsoft expanded their partnership in digital aviation. As part of a significant investment in the company’s digital future, Boeing leverages the Microsoft Cloud and its AI capabilities to streamline business processes, upgrade its critical infrastructure, and accelerate new innovations in digital aviation.
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Artificial Intelligence (AI) is being increasingly used in the aviation industry to improve safety, efficiency, and passenger experience. AI algorithms can assist pilots with tasks such as flight planning, navigation, and weather monitoring, improving the accuracy of decision-making and reducing the risk of accidents. AI can also optimize aircraft performance, reducing fuel consumption and emissions.
Throughout the forecast period, virtual assistants are anticipated to have the largest share of the AI in aviation market among all applications. AI-powered virtual assistants assist airline companies in enhancing productivity and increasing pilot efficiency by handling repetitive tasks such as changing radio channels, providing position information upon request, and reading wind forecasts.