Artificial Intelligence In Aviation Market - Forecast(2024 - 2030)
Artificial Intelligence In Aviation Market Overview
The Artificial Intelligence In Aviation Market size is estimated to reach $4.8 billion by 2027, growing at a CAGR of 40.5% during the forecast period
2022-2027. The growth is attributed to the growing adoption of pattern
recognition, auto-scheduling, targeted advertising and customer feedback
analysis for better flight experience, increasing use of artificial
intelligence for quick and hassle-free check-in and so on. Implementation of AI
& machine learning technologies in the aerospace sector reduces
various safety issues and assists airport customers. Artificial
intelligence (AI) technologies such as computer vision and natural language
processing aid in customer service, smart maintenance, pilot training, and
threat detection. Growing automation of various aspects of the aviation
industry aids in the efficient operation of general systems
and increases customer satisfaction. During irregular
operations, virtual assistants coordinate travel adjustments and enable
rebooking & re-planning. Additionally, increasing use of passenger
identification & auto screening technologies in the airports and rising adoption of computer vision at
airports for monitoring complex ground servicing
activities, and detect safety issues in real-time. These factors are set to
transform the Artificial Intelligence In
Aviation industry outlook in the coming time.
Artificial Intelligence In Aviation Report Coverage
The “Artificial Intelligence In Aviation Market Report – Forecast
(2022-2027)” by IndustryARC, covers an in-depth analysis of the following
segments in the Artificial Intelligence
In Aviation Market.
Key Takeaways
- Machine learning technology for Artificial Intelligence in the Aviation market is analyzed to grow at the fastest rate during the forecast period 2022-2027, attributed to the growing adoption of machine learning techniques to solve aviation operational problems, increasing utilization of big data in analysis and forecasting to increase efficiency and so on.
- Artificial Intelligence In the Aviation market for Virtual Assistants application is analyzed to grow with the highest CAGR during 2022-2027, owing to growing trends towards customized customer care services, rising adoption of chatbots and voice bots for better customer interaction and so on.
- North America dominated the Artificial Intelligence In Aviation market in 2021, attributed to increasing application of IoT, big data & factory automation technologies, growing utilization of data analytics in the aerospace industry and so on.
- Growing application of artificial intelligence for faster check-in & baggage screening process and increasing adoption of chat platforms & customer interaction systems for personalizing travel experiences are analyzed to significantly drive the market growth of Artificial Intelligence In the Aviation market during the forecast period 2022-2027.
Artificial Intelligence In Aviation Market Value Share, by Region, 2021 (%)
For More Details On this report - Request For Sample
Artificial Intelligence In Aviation Market Report Analysis - by Technology
Machine
learning technology for Artificial Intelligence In the Aviation market is analyzed to grow at the fastest
rate of 42% during the forecast period 2022-2027, owing to the growing adoption of
machine learning techniques to solve problems in aviation operations,
increasing utilization of big data for analysis and forecasting to increase
efficiency and so on. In June 2022, Hamad International Airport launched an
innovative Digital Twin initiative, as a part of its smart airport program. Under
this, machine learning tools were leveraged in order to analyze data from
multiple airport systems, while providing smart suggestions to achieve
greater efficiency and ensuring a real-time view of the airport through a
user-friendly 3D interface. The system manages aircraft stand
conflicts, effective alert response and monitors the health of
critical airport assets. Furthermore, the increasing utilization of artificial intelligence
(AI) for air traffic control, as well as the rising implementation of AI technology
to predict potential maintenance failures on aircraft is boosting the growth of
machine learning technology for Artificial Intelligence In the Aviation industry over time.
Artificial Intelligence In Aviation Market Report Analysis - by Application
Artificial Intelligence In Aviation
market for Virtual Assistants application
is analyzed to grow with the highest CAGR of 41.5% during 2022-2027,
attributed to growing trends towards customized customer care services, growing
adoption of chatbots and voice bots for better customer interaction and so on. Additionally, the growing adoption of chat
platforms for booking/cancellation & personalizing travel offers
based on client inputs along with the growing use of smart virtual assistants to address
customer queries are accelerating the implementation of virtual assistants in the aviation industry. Conversational
virtual assistants aid in the quick and efficient booking process by seamlessly
transferring complex queries to a human agent and ensuring that the information
is appropriately transferred to the user. In December 2020, United Airlines
launched Virtual Airport Assistance at US Hubs to provide travelers with
contactless access to customer service at the hub airports. Additionally,
virtual assistance provides the Agent on Demand facility that can be used
by the customers via QR code and offers a number of communication options.
Such factors are analyzed to transform global Artificial Intelligence In the Aviation industry outlook for virtual assistants.
Artificial Intelligence In Aviation Market Report Analysis - by Geography
North America dominated the global Artificial Intelligence In Aviation market with a share of 38% in 2021, attributed to increasing application of IoT, big data & factory automation technologies, growing utilization of data analytics in the aerospace industry, growing trend toward cloud-based applications & services in the aviation industry and so on. In August 2021, US Airport implements artificial intelligence remote security technology to secure airport perimeters and provide increased security to the airport authorities. The airport authority aimed to deploy six ROSA180 units to detect as well as deter trespassers and unauthorized intruders into parking garages and other secure areas. Furthermore, deployment of advanced technologies such as baggage screening, passenger identification and maintenance, customer support, facial recognition and aircraft fuel optimization increases the demand for AI in the aviation industry. These factors are set to transform Artificial Intelligence in Aviation industry outlook within North American markets.
Artificial Intelligence In Aviation Market Drivers
Growing Application of Artificial Intelligence for Faster Check-in and Baggage Screening Process is Accelerating the Growth of Artificial Intelligence In Aviation Market:
The increasing use of artificial
intelligence for faster check-in and baggage screening is boosting the
growth of artificial intelligence in the aviation market. During airport
check-ins, intrusion detection technologies are being widely used as Artificial intelligence systems for actively distinguishing between luggage
and humans. The adoption of AI-based systems helps in alerting airport authorities
about incidents of unauthorized access or check-ins. Airport security can be
increased with the integration of CCTV-AI systems, and machine-learning models.
A sophisticated artificial intelligence-powered device can detect prohibited
items in x-ray images and display alerts on the screen. In January 2020, the Airport Authority of India (AAI) introduced an artificial intelligence-based
solution, Baggage AI at 8 airports across India. An artificial intelligence-powered system is designed to enhance airport security. It
uses threat detection systems, computer vision and security
x-ray machines. This AI software technology can automatically detect various
objects at airports and send notifications to the security system. According
to a Forbes report published in 2020, the Department of Homeland Security plans to
dramatically expand its Biometric Exit program within four years to cover
97% of outbound air passengers. It further states that the AI system has
already been installed in 15 airports across the US. Over 15,000 flights have
been tested by the system and over 7,000 travelers who have overstayed their
visas have been identified. Such factors will help in transforming Artificial Intelligence In the Aviation market
size by the coming time.
Increasing Adoption of Chat Platforms & Customer Interaction Systems for Personalizing Travel Experiences is Boosting the Demand for Artificial Intelligence In Aviation Market:
The growing adoption of chat platforms and
customer interaction systems for customized travel experiences act as a major
driver boosting the growth of Artificial intelligence in the aviation market. AI-powered chatbots help airlines
in increasing pilot productivity and efficiency by automating
repetitive tasks such as changing radio channels, reading wind
forecasts and providing position information on demand. AI-powered virtual
assistance can help address queries such as flight status or onboard
services/offers in real time. These AI-powered platforms help passengers
in booking and planning trips. In May 2020, Louisville
Muhammad Ali International Airport (SDF) launched its Virtual Information
Booth. It connects travelers with a volunteer Airport Ambassador in a distant
area via live video feed. Passengers can communicate with customer service representatives
in real-time using a touch-free tablet located in a physical information
booth. Airlines and airports are
attempting to diversify their offerings by leveraging advanced technologies
such as e-commerce. According to a report published by Future Travel Experience
in 2020, AirAsia is testing new business models and the airline has expanded its
offering to create a unified e-commerce platform powered by AI technology and
data analytics. The airline also revealed its plans to increase non-flight,
non-aviation-related earnings to 50% by the year 2024. These factors can
be considered vital in expanding the Artificial Intelligence In Aviation market
size in the long run.
Artificial Intelligence In Aviation Market Challenge
High Cost of AI Technologies Coupled with Implementation Complexities are Restraining the Growth of Artificial Intelligence In Aviation Market:
High prices
of AI technologies combined with the complexity of implementation are
limiting the growth of artificial intelligence in the aviation market. AI technology has certain limitations including the fact that
it takes a longer time to implement and cannot be used as an ideal customer
service tool. Failure of the AI technologies like Maneuvering Characteristics
Augmentation System (MCAC) can result in fatal accidents. According to a 2020
Packtpub report, an Ethiopian Airlines plane crashed in 2019. The fatal
accident was caused by false alarms and incorrect information coordinated by
the MCAC system regarding the problem in flight control. The report further revealed
that the deployment of a chatbot system in an airline company can cost up to
$15,000. These high-cost results in limited adoption of these technologies in small
businesses, which potentially creates a barrier between small and large
airlines. High cost coupled with
implementation complexities possessed by AI technologies is limiting their
application in various airlines, thereby hampering the growth of Artificial
Intelligence In the Aviation industry.
Artificial Intelligence In Aviation Industry Outlook
Product launches, acquisitions and R&D activities are key
strategies adopted by players in the Artificial Intelligence In Aviation
Market.
The top 10
companies in the Artificial Intelligence In Aviation market are:
- Amazon Web Services Inc.
- IBM Corporation
- Microsoft Corporation
- NVIDIA Corporation
- Micron Technology Inc.
- Airbus S.A.S.
- Boeing Company
- Garmin Ltd.
- Lockheed Martin Corporation
- Thales Group
Recent Developments
- In July 2022, Microsoft launched a complete platform for accelerating
autonomous flight, named the Project AirSim. Project
AirSim, a Microsoft Azure platform that builds, trains and
tests autonomous aircraft using high-fidelity simulation. It uses
the computing power of the system to generate massive amounts of data for
training AI models.
- In June 2022, IBM extended its Robotic Process Automation (RPA) service
to automate internal processes and increase staff efficiency. The solution optimizes
& monitors operations and processes and improves talent
management for higher-value tasks.
- In April 2022, Amazon Web Services, Inc. collaborated with Boeing to
streamline the cloud computing strategy of the company. It
uses on-premises data centers to set the technological groundwork for
better engineering and manufacturing processes. It improves the existing Boeing
digital applications and reveals valuable insights to drive product
innovation, and efficiency and improve customer service.
Relevant Report Titles:
Internet of Things Artificial Intelligence (IoT AI) Market-
Industry Analysis, Market Size, Share, Trends, Application Analysis, Growth and
Forecast Analysis
Report Code: ITR
0171
Report Code: ITR
29964
Report Code: ITR
0103
For more Chemicals and Materials Market reports, please click here
LIST OF TABLES
1.Global Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)1.1 Machine Learning Market 2023-2030 ($M) - Global Industry Research
1.1.1 Deep Learning Market 2023-2030 ($M)
1.1.2 Supervised Learning Market 2023-2030 ($M)
1.1.3 Unsupervised Learning Market 2023-2030 ($M)
1.1.4 Reinforcement Learning Market 2023-2030 ($M)
1.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
1.2 Natural Language Processing Market 2023-2030 ($M) - Global Industry Research
1.3 Context Awareness Computing Market 2023-2030 ($M) - Global Industry Research
1.4 Computer Vision Market 2023-2030 ($M) - Global Industry Research
2.Global Artificial Intelligence Aviation Market By Technology Market 2023-2030 (Volume/Units)
2.1 Machine Learning Market 2023-2030 (Volume/Units) - Global Industry Research
2.1.1 Deep Learning Market 2023-2030 (Volume/Units)
2.1.2 Supervised Learning Market 2023-2030 (Volume/Units)
2.1.3 Unsupervised Learning Market 2023-2030 (Volume/Units)
2.1.4 Reinforcement Learning Market 2023-2030 (Volume/Units)
2.1.5 Semi-Supervised Learning Market 2023-2030 (Volume/Units)
2.2 Natural Language Processing Market 2023-2030 (Volume/Units) - Global Industry Research
2.3 Context Awareness Computing Market 2023-2030 (Volume/Units) - Global Industry Research
2.4 Computer Vision Market 2023-2030 (Volume/Units) - Global Industry Research
3.North America Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)
3.1 Machine Learning Market 2023-2030 ($M) - Regional Industry Research
3.1.1 Deep Learning Market 2023-2030 ($M)
3.1.2 Supervised Learning Market 2023-2030 ($M)
3.1.3 Unsupervised Learning Market 2023-2030 ($M)
3.1.4 Reinforcement Learning Market 2023-2030 ($M)
3.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
3.2 Natural Language Processing Market 2023-2030 ($M) - Regional Industry Research
3.3 Context Awareness Computing Market 2023-2030 ($M) - Regional Industry Research
3.4 Computer Vision Market 2023-2030 ($M) - Regional Industry Research
4.South America Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)
4.1 Machine Learning Market 2023-2030 ($M) - Regional Industry Research
4.1.1 Deep Learning Market 2023-2030 ($M)
4.1.2 Supervised Learning Market 2023-2030 ($M)
4.1.3 Unsupervised Learning Market 2023-2030 ($M)
4.1.4 Reinforcement Learning Market 2023-2030 ($M)
4.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
4.2 Natural Language Processing Market 2023-2030 ($M) - Regional Industry Research
4.3 Context Awareness Computing Market 2023-2030 ($M) - Regional Industry Research
4.4 Computer Vision Market 2023-2030 ($M) - Regional Industry Research
5.Europe Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)
5.1 Machine Learning Market 2023-2030 ($M) - Regional Industry Research
5.1.1 Deep Learning Market 2023-2030 ($M)
5.1.2 Supervised Learning Market 2023-2030 ($M)
5.1.3 Unsupervised Learning Market 2023-2030 ($M)
5.1.4 Reinforcement Learning Market 2023-2030 ($M)
5.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
5.2 Natural Language Processing Market 2023-2030 ($M) - Regional Industry Research
5.3 Context Awareness Computing Market 2023-2030 ($M) - Regional Industry Research
5.4 Computer Vision Market 2023-2030 ($M) - Regional Industry Research
6.APAC Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)
6.1 Machine Learning Market 2023-2030 ($M) - Regional Industry Research
6.1.1 Deep Learning Market 2023-2030 ($M)
6.1.2 Supervised Learning Market 2023-2030 ($M)
6.1.3 Unsupervised Learning Market 2023-2030 ($M)
6.1.4 Reinforcement Learning Market 2023-2030 ($M)
6.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
6.2 Natural Language Processing Market 2023-2030 ($M) - Regional Industry Research
6.3 Context Awareness Computing Market 2023-2030 ($M) - Regional Industry Research
6.4 Computer Vision Market 2023-2030 ($M) - Regional Industry Research
7.MENA Artificial Intelligence Aviation Market By Technology Market 2023-2030 ($M)
7.1 Machine Learning Market 2023-2030 ($M) - Regional Industry Research
7.1.1 Deep Learning Market 2023-2030 ($M)
7.1.2 Supervised Learning Market 2023-2030 ($M)
7.1.3 Unsupervised Learning Market 2023-2030 ($M)
7.1.4 Reinforcement Learning Market 2023-2030 ($M)
7.1.5 Semi-Supervised Learning Market 2023-2030 ($M)
7.2 Natural Language Processing Market 2023-2030 ($M) - Regional Industry Research
7.3 Context Awareness Computing Market 2023-2030 ($M) - Regional Industry Research
7.4 Computer Vision Market 2023-2030 ($M) - Regional Industry Research
LIST OF FIGURES
1.US Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)2.Canada Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
3.Mexico Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
4.Brazil Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
5.Argentina Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
6.Peru Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
7.Colombia Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
8.Chile Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
9.Rest of South America Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
10.UK Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
11.Germany Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
12.France Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
13.Italy Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
14.Spain Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
15.Rest of Europe Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
16.China Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
17.India Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
18.Japan Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
19.South Korea Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
20.South Africa Artificial Intelligence In Aviation Market Revenue, 2023-2030 ($M)
21.North America Artificial Intelligence In Aviation By Application
22.South America Artificial Intelligence In Aviation By Application
23.Europe Artificial Intelligence In Aviation By Application
24.APAC Artificial Intelligence In Aviation By Application
25.MENA Artificial Intelligence In Aviation By Application
26.Key Players, Sales /Revenue, 2015-2018 ($Mn/$Bn)