HOME Top Market Reports Artificial Intelligence in Aviation Market by Offering (Hardware, Software, Service), Technology (Machine Learning, Context Awareness, NLP, Computer Vision), Application (Virtual Assistants, Smart Maintenance), and Geography - Global Forecast to 2025

Artificial Intelligence in Aviation Market by Offering (Hardware, Software, Service), Technology (Machine Learning, Context Awareness, NLP, Computer Vision), Application (Virtual Assistants, Smart Maintenance), and Geography - Global Forecast to 2025

By: marketsandmarkets.com
Publishing Date: February 2018
Report Code: SE 5989

 

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The artificial intelligence (AI) in aviation market was valued at USD 112.3 Million in 2017 and is likely to reach USD 2,222.5 Million by 2025, at a CAGR of 46.65% during the forecast period. The base year considered for the study is 2017, and the forecast period is between 2018 and 2025. The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry.

The report aims at forecasting the market size and future growth potential of the AI in aviation market on the basis of offering, technology, application, and geographic region. It aims at identifying the major market trends and factors driving or restraining the growth of the AI in aviation market and its various submarkets. Furthermore, the report analyzes opportunities in the market for stakeholders by identifying the high-growth segments of the AI in aviation market, strategically profiles key market players, and comprehensively analyzes their market size and core competencies in each segment.

The research methodology used to estimate and forecast the AI in aviation market begins with obtaining data on key vendor revenues through secondary research. Some of the secondary sources referred to for this research include Association for the Advancement of Artificial Intelligence, European Association for Artificial Intelligence, Canadian Artificial Intelligence Association. The vendor offerings have also been taken into consideration to determine the market segmentation. The bottom-up procedure has been employed to arrive at the overall size of the AI in aviation market from the revenues of the key players. After arriving at the overall market size, the total market has been split into several segments, which have then been verified through primary research by conducting extensive interviews with key people such as CEOs, VPs, directors, and executives. The market breakdown and data triangulation procedure have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments.

The breakdown of primary participants has been depicted in the following figure.

Artificial Intelligence in Aviation Market

To know about the assumptions considered for the study, download the pdf brochure

The AI in aviation market ecosystem comprises companies such as Intel (US), NVIDIA (US), IBM (US), Micron (US), Samsung (South Korea), Xilinx (US), Amazon (US), Microsoft (US), Airbus (France), Boeing (US), General Electric (US), Thales (France), Lockheed Martin (US), and Garmin (US).

Target Audience of the Report:

The intended audience for this report includes:

  • Semiconductor companies
  • Technology providers
  • Universities and research organizations
  • System integrators
  • AI solution providers
  • AI platform providers
  • Cloud service providers
  • AI system providers
  • Investors and venture capitalists

Scope of the Report

In this report, the AI in aviation market has been segmented on the basis of offering, technology, application, and geographic regions. To provide a holistic picture, the current market demands, and forecasts have been included in the report. The research report segments the AI in aviation market,

By Offering:

  • Hardware
  • Software
  • Services        

By Technology:

  • Machine Learning
  • Natural Language Processing
  • Context Awareness Computing
  • Computer Vision

By Application:

  • Virtual Assistants
  • Smart Maintenance
  • Manufacturing
  • Training
  • Surveillance
  • Flight Operations
  • Dynamic Pricing
  • Others

 By Region:

  • North America
  • Asia Pacific (APAC)
  • Europe 
  • Rest of the World (RoW)

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

  • Company information: Detailed analysis and profiling of additional 4 market players

Table of Contents

1 Introduction (Page No. - 15)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for This Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 18)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Key Data From Primary Sources
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Breakdown of Primaries
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown & Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 27)

4 Premium Insights (Page No. - 32)
    4.1 Attractive Market Opportunities in the AI in Aviation Market
    4.2 AI in Aviation Market, By Offering
    4.3 AI in Aviation Market, By Technology
    4.4 AI in Aviation Market, By Application
    4.5 AI in Aviation Market in North America, By Application and By Country
    4.6 AI in Aviation Market, By Country

5 Market Overview (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Use of Big Data in Aerospace Industry
                    5.2.1.2 Significant Increase in Capital Investments By Aviation Companies
                    5.2.1.3 Rising Adoption of Cloud-Based Applications and Services in Aviation Industry
           5.2.2 Restraints
                    5.2.2.1 Limited Number of Experts in AI
           5.2.3 Opportunities
                    5.2.3.1 Increasing Adoption of AI to Improve Customer Services
                    5.2.3.2 Improved Operational Efficiency With the Help of AI in Aviation Industry
           5.2.4 Challenges
                    5.2.4.1 Concerns Regarding Data Privacy
    5.3 Use Cases
           5.3.1 Koninklijke Luchtvaart Maatschappij N.V. (The Netherlands): Virtual Assistant
           5.3.2 Delta Air Lines, Inc. (US): Self-Service Kiosks
           5.3.3 Southwest Airlines Co.(US): Flight Operations
           5.3.4 United Airlines, Inc.(US): Virtual Assistant
           5.3.5 Searidge Technologies (Canada): Air Traffic Control
           5.3.6 Aerialtronics Dv B.V. (Netherlands), Neurala (US), and Nvidia (US): Flight Inspection
           5.3.7 IRIS Automation Inc. (US): Surveillance
           5.3.8 Easyjet (UK): Flight Operations
           5.3.9 Kittyhawk (US): Virtual Assistant
           5.3.10 Boeing (US): Smart Maintenance

6 AI in Aviation Market, By Offering (Page No. - 44)
    6.1 Introduction
    6.2 Software
           6.2.1 AI Solutions
           6.2.2 AI Platforms
    6.3 Hardware
           6.3.1 Processors
           6.3.2 Memory
           6.3.3 Networks
    6.4 Services
           6.4.1 Deployment & Integration
           6.4.2 Support & Maintenance

7 Artificial Intelligence in Aviation Market, By Technology (Page No. - 55)
    7.1 Introduction
    7.2 Machine Learning
           7.2.1 Deep Learning
           7.2.2 Supervised Learning
           7.2.3 Unsupervised Learning
           7.2.4 Reinforcement Learning
           7.2.5 Semi-Supervised Learning
    7.3 Natural Language Processing (Nlp)
    7.4 Context Awareness Computing
    7.5 Computer Vision

8 AI in Aviation Market, By Application (Page No. - 65)
    8.1 Introduction
    8.2 Smart Maintenance
    8.3 Flight Operations
    8.4 Training
    8.5 Surveillance
    8.6 Virtual Assistants
    8.7 Dynamic Pricing
    8.8 Manufacturing
           8.8.1 Material Movement
           8.8.2 Predictive Maintenance and Machinery Inspection
           8.8.3 Production Planning
           8.8.4 Quality Control
           8.8.5 Reclamation
    8.9 Others

9 AI in Aviation Market, By Geography (Page No. - 87)
    9.1 Introduction
    9.2 North America
           9.2.1 US
           9.2.2 Canada
           9.2.3 Mexico
    9.3 Europe
           9.3.1 Germany
           9.3.2 UK
           9.3.3 France
           9.3.4 Italy
           9.3.5 Spain
           9.3.6 Rest of Europe
    9.4 Asia Pacific
           9.4.1 China
           9.4.2 Japan
           9.4.3 South Korea
           9.4.4 India
           9.4.5 Rest of Asia Pacific (RoAPAC)
    9.5 RoW
           9.5.1 Middle East & Africa (MEA)
           9.5.2 South America

10 Competitive Landscape (Page No. - 109)
     10.1 Overview
     10.2 Key Players in the AI in Aviation Market
     10.3 Competitive Scenario
             10.3.1 Product Launches
             10.3.2 Partnerships/Agreements/Collaborations
             10.3.3 Acquisitions
             10.3.4 Expansions & Investments

11 Company Profiles (Page No. - 117)
     11.1 Key Players
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
             11.1.1 Nvidia
             11.1.2 Intel
             11.1.3 Xilinx
             11.1.4 Samsung Electronics
             11.1.5 Micron
             11.1.6 IBM
             11.1.7 Microsoft
             11.1.8 Amazon
             11.1.9 Airbus
             11.1.10 Boeing
             11.1.11 GE
             11.1.12 Thales
             11.1.13 Lockheed Martin
             11.1.14 Garmin
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
     11.2 Other Companies
             11.2.1 Neurala
             11.2.2 Kittyhawk
             11.2.3 IRIS Automation
             11.2.4 Pilot AI Labs
             11.2.5 Northrop Grumman
             11.2.6 Paladin: Paradigm Knowledge Solutions
             11.2.7 Searidge Technologies
             11.2.8 Innovative Binaries
             11.2.9 Cognitive Code

12 Appendix (Page No. - 157)
     12.1 Insights From Industry Experts
     12.2 Discussion Guide
     12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     12.4 Introducing RT: Real-Time Market Intelligence
     12.5 Available Customization
     12.6 Related Reports
     12.7 Author Details


List of Tables (66 Tables)

Table 1 AI in Aviation Market, By Offering, 2015–2025 (USD Million)
Table 2 AI in Aviation Market, By Software, 2015–2025 (USD Million)
Table 3 AI in Aviation Market for Software, By AI Platform, 2015–2025 (USD Million)
Table 4 AI in Aviation Market for Software, By Region, 2015–2025 (USD Million)
Table 5 AI in Aviation Market, By Hardware, 2015–2025 (USD Million)
Table 6 AI in Aviation Market for Hardware, By Processor, 2015–2025 (USD Million)
Table 7 AI in Aviation Market for Hardware, By Processor, 2015–2025 (Thousand Units)
Table 8 AI in Aviation Market for Hardware, By Region, 2015–2025 (USD Million)
Table 9 AI in Aviation Market, By Service, 2015–2025 (USD Million)
Table 10 AI in Aviation Market for Services, By Region, 2015–2025 (USD Million)
Table 11 AI in Aviation Market, By Technology, 2015–2025 (USD Million)
Table 12 AI in Aviation Market for Machine Learning, By Type, 2015–2025 (USD Million)
Table 13 AI in Aviation Market for Machine Learning, By Region, 2015–2025 (USD Million)
Table 14 AI in Aviation Market for Nlp, By Process, 2015–2025 (USD Million)
Table 15 AI in Aviation Market for Nlp, By Region, 2015–2025 (USD Million)
Table 16 AI in Aviation Market for Context Awareness Computing, By Region, 2015–2025 (USD Million)
Table 17 AI in Aviation Market for Computer Vision, By Region, 2015–2025 (USD Million)
Table 18 AI in Aviation Market, By Application, 2015–2025 (USD Million)
Table 19 AI in Aviation Market for Smart Maintenance, By Region, 2015–2025 (USD Million)
Table 20 AI in Aviation Market for Smart Maintenance, By Offering, 2015–2025 (USD Million)
Table 21 AI in Aviation Market for Smart Maintenance, By Technology, 2015–2025 (USD Million)
Table 22 AI in Aviation Market for Flight Operations, By Region, 2015–2025 (USD Million)
Table 23 AI in Aviation Market for Flight Operations, By Offering, 2015–2025 (USD Million)
Table 24 AI in Aviation Market for Flight Operations, By Technology, 2015–2025 (USD Thousand)
Table 25 AI in Aviation Market for Training, By Region, 2015–2025 (USD Million)
Table 26 AI in Aviation Market for Training, By Offering, 2015–2025 (USD Million)
Table 27 AI in Aviation Market for Training, By Technology, 2015–2025 (USD Million)
Table 28 AI in Aviation Market for Surveillance, By Region, 2015–2025 (USD Million)
Table 29 AI in Aviation Market for Surveillance, By Offering, 2015–2025 (USD Million)
Table 30 AI in Aviation Market for Surveillance, By Technology, 2015–2025 (USD Million)
Table 31 AI in Aviation Market for Virtual Assistants, By Region, 2015–2025 (USD Thousand)
Table 32 AI in Aviation Market for Virtual Assistants, By Offering, 2015–2025 (USD Million)
Table 33 AI in Aviation Market for Virtual Assistants, By Technology, 2015–2025 (USD Million)
Table 34 AI in Aviation Market for Dynamic Pricing, By Region, 2015–2025 (USD Million)
Table 35 AI in Aviation Market for Dynamics Pricing, By Offering, 2015–2025 (USD Thousand)
Table 36 AI in Aviation Market for Dynamic Pricing, By Technology, 2015–2025 (USD Million)
Table 37 AI in Aviation Market for Manufacturing, By Region, 2015–2025 (USD Million)
Table 38 AI in Aviation Market for Manufacturing, By Type, 2015–2025 (USD Thousand)
Table 39 AI in Aviation Market for Manufacturing, By Offering, 2015–2025 (USD Million)
Table 40 AI in Aviation Market for Manufacturing, By Technology, 2015–2025 (USD Million)
Table 41 AI in Aviation Market for Other Applications, By Region, 2015–2025 (USD Million)
Table 42 AI in Aviation Market for Other Applications, By Offering, 2015–2025 (USD Million)
Table 43 AI in Aviation Market for Other Applications, By Technology, 2015–2025 (USD Thousand)
Table 44 AI in Aviation Market, By Region, 2015–2025 (USD Million)
Table 45 AI in Aviation Market in North America, By Country, 2015–2025 (USD Million)
Table 46 AI in Aviation Market in North America, By Offering, 2015–2025 (USD Million)
Table 47 AI in Aviation Market in North America, By Application, 2015–2025 (USD Million)
Table 48 AI in Aviation Market in North America, By Technology, 2015–2025 (USD Million)
Table 49 AI in Aviation Market in Europe, By Country/Region, 2015–2025 (USD Million)
Table 50 AI in Aviation Market in Europe, By Offering, 2015–2025 (USD Million)
Table 51 AI in Aviation Market in Europe, By Application, 2015–2025 (USD Million)
Table 52 AI in Aviation Market in Europe, By Technology, 2015–2025 (USD Million)
Table 53 AI in Aviation Market in APAC, By Country/Region, 2015–2025 (USD Million)
Table 54 AI in Aviation Market in APAC, By Offering, 2015–2025 (USD Million)
Table 55 AI in Aviation Market in APAC, By Application, 2015–2025 (USD Thousand)
Table 56 AI in Aviation Market in APAC, By Technology, 2015–2025 (USD Million)
Table 57 AI in Aviation Market in RoW, By Region, 2015–2025 (USD Million)
Table 58 AI in Aviation Market in RoW, By Offering, 2015–2025 (USD Million)
Table 59 AI in Aviation Market in RoW, By Application, 2015–2025 (USD Thousand)
Table 60 AI in Aviation Market in RoW, By Technology, 2015–2025 (USD Million)
Table 61 Ranking of the Key Players in the AI in Aviation for Hardware Market, 2017
Table 62 Ranking of the Key Players in the AI in Aviation Market for Software, 2017
Table 63 Product Launches, 2016–2017
Table 64 Partnerships, Agreements, & Collaborations, 2016–2017
Table 65 Acquisitions, 2015–2017
Table 66 Expansions & Investments, 2017


List of Figures (52 Figures)

Figure 1 AI in Aviation Market: Research Design
Figure 2 Process Flow of Market Size Estimation
Figure 3 Market Size Estimation: Bottom-Up Approach
Figure 4 Market Size Estimation: Top-Down Approach
Figure 5 Market Breakdown and Data Triangulation
Figure 6 AI in Aviation Market, By Offering, 2018–2025
Figure 7 AI in Aviation Market, By Technology, 2018–2025
Figure 8 AI in Aviation Market, By Application, 2018 vs 2025
Figure 9 AI in Aviation Market, By Region, 2018–2025
Figure 10 Increasing Demand for AI in Surveillance Applications to Boost the Growth of the AI in Aviation Market Between 2018 and 2025
Figure 11 Software to Hold the Largest Size of AI in Aviation Market Between 2018 and 2025
Figure 12 AI in Aviation Market for Computer Vision to Grow at the Highest CAGR During the Forecast Period
Figure 13 Smart Maintenance to Hold the Largest Size of the AI in Aviation Market By 2025
Figure 14 Virtual Assistant to Hold the Largest Share of the AI in Aviation Market in North America in 2018
Figure 15 AI in Aviation Market in China to Grow at the Highest Rate During the Forecast Period
Figure 16 AI in Aviation Market: Drivers, Restraints, Opportunities, and Challenges
Figure 17 Software to Hold the Largest Size of the AI in Aviation Market in 2018
Figure 18 Machine Learning Framework to Hold A Larger Size of the AI in Aviation Market for AI Platforms in 2018
Figure 19 Processors to Hold the Largest Size of the AI in Aviation Market for Hardware in 2018
Figure 20 North America to Hold the Largest Size of the AI in Aviation Market for Services in 2018
Figure 21 Machine Learning to Hold Largest Share of the AI in Aviation Market in 2018
Figure 22 Supervised Learning to Hold the Largest Size of the AI in Aviation Market for Machine Learning in 2018
Figure 23 Text Analytics to Hold the Largest Size of the AI in Aviation Market for Nlp in 2018
Figure 24 North America to Hold the Largest Size of the AI in Aviation Market for Context Awareness Computing in 2018
Figure 25 AI in Aviation Market for Surveillance Applications to Grow at the Highest Rate Between 2018 and 2025
Figure 26 North America to Hold the Largest Size of the AI in Aviation Market for Flight Operations in 2018
Figure 27 Software to Hold the Largest Size of the AI in Aviation Market for Surveillance Applications in 2018
Figure 28 Software to Hold the Largest Size of the AI in Aviation Market for Virtual Assistants in 2018
Figure 29 Machine Learning to Hold the Largest Size of the AI in Aviation Market for Dynamic Pricing in 2018
Figure 30 AI in Aviation Market for Hardware for Manufacturing Applications to Grow at the Highest Rate During the Forecast Period
Figure 31 AI in Aviation Market, By Geography
Figure 32 North America to Hold the Largest Size of the AI in Aviation Market in 2018
Figure 33 Snapshot of the AI in Aviation Market in North America
Figure 34 US Held the Larges5t Share of the AI in Aviation Market in North America in 2017
Figure 35 Snapshot of the AI in Aviation Market in Europe
Figure 36 Snapshot of the AI in Aviation Market in APAC
Figure 37 China to Hold the Largest Size of the AI in Aviation Market in APAC in 2018
Figure 38 Companies Adopted Product Launches as Their Key Growth Strategy in the Past Three Years (2015–2017)
Figure 39 Nvidia: Company Snapshot
Figure 40 Intel: Company Snapshot
Figure 41 Xilinx: Company Snapshot
Figure 42 Samsung Electronics: Company Snapshot
Figure 43 Micron: Company Snapshot
Figure 44 IBM: Company Snapshot
Figure 45 Microsoft: Company Snapshot
Figure 46 Amazon: Company Snapshot
Figure 47 Airbus: Company Snapshot
Figure 48 Boeing: Company Snapshot
Figure 49 GE: Company Snapshot
Figure 50 Thales: Company Snapshot
Figure 51 Lockheed Martin: Company Snapshot
Figure 52 Garmin: Company Snapshot

The global artificial intelligence (AI) in aviation market is expected to be valued at USD 152.4 Million in 2018 and is likely to reach USD 2,222.5 Million by 2025, at a CAGR of 46.65% between 2018 and 2025. The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry.

In this report, the AI in aviation market has been segmented on the basis of technology, offering, application, and geography. Among all offerings, software holds the largest share of the overall AI in aviation market. This is owing to the developments in AI software for applications such as surveillance, flight operations, and airport operations. AI systems comprise software including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications in the aviation industry.

Among all technologies, machine learning is likely to hold the largest share of the AI in aviation market during forecast period. Machine learning’s ability to collect and handle big data, along with its increased ability to perform previously impossible calculations, is fueling the growth of the market for machine learning.

Among all applications, virtual assistants are expected to hold the largest share of the AI in aviation market throughout the forecast period. AI-based virtual assistants help airline companies improve their productivity and increase the efficiency of pilots by reducing recurring works, such as changing radio channels, reading wind forecasts, and providing position information on requests. These recurring jobs are taken care by the AI-enabled virtual assistants. Garmin (US) offers AI-enabled audio panels that help pilots operate these panels without taking their hands off the controls. Furthermore, virtual assistants also help airline companies improve customer services. They can provide instant answers to simple questions pertaining to flight status and services/offerings (audio, video, Wi-Fi), while customer representatives can attend to more important issues, enhancing customer experience. Virtual assistants are used at several airports to serve air travelers. For example, a virtual assistant is placed in the security line at the Barcelona (Spain) airport to help passengers with the security instructions and steps required to check in. Considering the benefits offered by these systems, a large-scale adoption of virtual assistants by airline companies is expected in the near future.

Artificial Intelligence in Aviation Market

The AI in aviation market in APAC is expected to grow at a high rate between 2018 and 2025. This growth can be attributed to the huge demand for AI technologies from countries such as China and Japan to increase efficiency of their aviation sector. For example, the Alibaba Group Holding Limited (China) has announced to provide AI-based solutions to avoid congestion at the Beijing Airport. These solutions would help pilots find parking slot for their aircraft easily. In addition, the increasing adoption of machine learning and NLP technologies for virtual assistance and training applications in the aviation sector is driving the growth of the market in APAC.

Limited number of experts in AI is restricting the growth of the AI in aviation market. Some of the key players operating in the AI in aviation market are Intel (US), NVIDIA (US), IBM (US), Micron (US), Samsung (South Korea), Xilinx (US), Amazon (US), Microsoft (US), Airbus (France), Boeing (US), General Electric (US), Thales (France), Lockheed Martin (US), and Garmin (US).

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