Global Artificial Intelligence in Aviation Market by Technology (Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Vision), by Offering (Software, Hardware, Services), by Application (Dynamic Pricing, Training, Smart Maintenance, Manufacturing, Surveillance, Flight Operations, Virtual Assistants) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028
Up Market Research published a new report titled “Artificial Intelligence in Aviation Market research report which is segmented by Technology (Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Vision), by Offering (Software, Hardware, Services), by Application (Dynamic Pricing, Training, Smart Maintenance, Manufacturing, Surveillance, Flight Operations, Virtual Assistants), By Players/Companies Amazon, Samsung Electronics, Xilinx, Thales, Intel, Garmin, Lockheed Martin, IBM, Microsoft, Nvidia”. As per the study the market is expected to grow at a CAGR of XX% in the forecast period.
Report Scope
| Report Attributes | Report Details |
| Report Title | Artificial Intelligence in Aviation Market Research Report |
| By Technology | Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Vision |
| By Offering | Software, Hardware, Services |
| By Application | Dynamic Pricing, Training, Smart Maintenance, Manufacturing, Surveillance, Flight Operations, Virtual Assistants |
| By Companies | Amazon, Samsung Electronics, Xilinx, Thales, Intel, Garmin, Lockheed Martin, IBM, Microsoft, Nvidia |
| Regions Covered | North America, Europe, APAC, Latin America, MEA |
| Base Year | 2020 |
| Historical Year | 2018 to 2019 (Data from 2010 can be provided as per availability) |
| Forecast Year | 2028 |
| Number of Pages | 218 |
| Number of Tables & Figures | 153 |
| Customization Available | Yes, the report can be customized as per your need. |
The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.
Global Artificial Intelligence in Aviation Market Report Segments:
The market is segmented by Technology (Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Vision), by Offering (Software, Hardware, Services), by Application (Dynamic Pricing, Training, Smart Maintenance, Manufacturing, Surveillance, Flight Operations, Virtual Assistants).
Artificial Intelligence in Aviation Market research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.
Key Benefits for Industry Participants & Stakeholders:
- Industry drivers, restraints, and opportunities covered in the study
- Neutral perspective on the market performance
- Recent industry trends and developments
- Competitive landscape & strategies of key players
- Potential & niche segments and regions exhibiting promising growth covered
- Historical, current, and projected market size, in terms of value
- In-depth analysis of the Artificial Intelligence in Aviation Market
Overview of the regional outlook of the Artificial Intelligence in Aviation Market:
Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa (MEA). North America region is further bifurcated into countries such as U.S., and Canada. The Europe region is further categorized into U.K., France, Germany, Italy, Spain, Russia, and Rest of Europe. Asia Pacific is further segmented into China, Japan, South Korea, India, Australia, South East Asia, and Rest of Asia Pacific. Latin America region is further segmented into Brazil, Mexico, and Rest of Latin America, and the MEA region is further divided into GCC, Turkey, South Africa, and Rest of MEA.
Highlights of The Artificial Intelligence in Aviation Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of Artificial Intelligence in Aviation Market.
- Historical data and forecast.
- Estimations for the forecast period 2028.
- Developments and trends in the market.
1. Machine Learning
2. Context Awareness Computing
3. Natural Language Processing
4. Computer Vision
7. By Offering:1. Software
2. Hardware
3. Services
8. By Application:1. Dynamic Pricing
2. Training
3. Smart Maintenance
4. Manufacturing
5. Surveillance
6. Flight Operations
7. Virtual Assistants
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence in Aviation Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2028.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
Reasons to Purchase the Artificial Intelligence in Aviation Market Report:
- The report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period
- Segments and sub-segments include quantitative, qualitative, value (USD Million,) and volume (Units Million) data.
- Regional, sub-regional, and country level data includes the demand and supply forces along with their influence on the market.
- The competitive landscape comprises share of key players, new developments, and strategies in the last three years.
- Comprehensive companies offering products, relevant financial information, recent developments, SWOT analysis, and strategies by these players.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Aviation Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence in Aviation Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in Aviation Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence in Aviation Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence in Aviation Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in Aviation Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in Aviation Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Technology
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Technology
5.1.2 Basis Point Share (BPS) Analysis by Technology
5.1.3 Absolute $ Opportunity Assessment by Technology
5.2 Artificial Intelligence in Aviation Market Size Forecast by Technology
5.2.1 Machine Learning
5.2.2 Context Awareness Computing
5.2.3 Natural Language Processing
5.2.4 Computer Vision
5.3 Market Attractiveness Analysis by Technology
Chapter 6 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Offering
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Offering
6.1.2 Basis Point Share (BPS) Analysis by Offering
6.1.3 Absolute $ Opportunity Assessment by Offering
6.2 Artificial Intelligence in Aviation Market Size Forecast by Offering
6.2.1 Software
6.2.2 Hardware
6.2.3 Services
6.3 Market Attractiveness Analysis by Offering
Chapter 7 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Application
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Application
7.1.2 Basis Point Share (BPS) Analysis by Application
7.1.3 Absolute $ Opportunity Assessment by Application
7.2 Artificial Intelligence in Aviation Market Size Forecast by Application
7.2.1 Dynamic Pricing
7.2.2 Training
7.2.3 Smart Maintenance
7.2.4 Manufacturing
7.2.5 Surveillance
7.2.6 Flight Operations
7.2.7 Virtual Assistants
7.3 Market Attractiveness Analysis by Application
Chapter 8 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Region
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities by Region
8.1.2 Basis Point Share (BPS) Analysis by Region
8.1.3 Absolute $ Opportunity Assessment by Region
8.2 Artificial Intelligence in Aviation Market Size Forecast by Region
8.2.1 North America
8.2.2 Europe
8.2.3 Asia Pacific
8.2.4 Latin America
8.2.5 Middle East & Africa (MEA)
8.3 Market Attractiveness Analysis by Region
Chapter 9 Coronavirus Disease (COVID-19) Impact
9.1 Introduction
9.2 Current & Future Impact Analysis
9.3 Economic Impact Analysis
9.4 Government Policies
9.5 Investment Scenario
Chapter 10 North America Artificial Intelligence in Aviation Analysis and Forecast
10.1 Introduction
10.2 North America Artificial Intelligence in Aviation Market Size Forecast by Country
10.2.1 U.S.
10.2.2 Canada
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 North America Artificial Intelligence in Aviation Market Size Forecast by Technology
10.6.1 Machine Learning
10.6.2 Context Awareness Computing
10.6.3 Natural Language Processing
10.6.4 Computer Vision
10.7 Basis Point Share (BPS) Analysis by Technology
10.8 Absolute $ Opportunity Assessment by Technology
10.9 Market Attractiveness Analysis by Technology
10.10 North America Artificial Intelligence in Aviation Market Size Forecast by Offering
10.10.1 Software
10.10.2 Hardware
10.10.3 Services
10.11 Basis Point Share (BPS) Analysis by Offering
10.12 Absolute $ Opportunity Assessment by Offering
10.13 Market Attractiveness Analysis by Offering
10.14 North America Artificial Intelligence in Aviation Market Size Forecast by Application
10.14.1 Dynamic Pricing
10.14.2 Training
10.14.3 Smart Maintenance
10.14.4 Manufacturing
10.14.5 Surveillance
10.14.6 Flight Operations
10.14.7 Virtual Assistants
10.15 Basis Point Share (BPS) Analysis by Application
10.16 Absolute $ Opportunity Assessment by Application
10.17 Market Attractiveness Analysis by Application
Chapter 11 Europe Artificial Intelligence in Aviation Analysis and Forecast
11.1 Introduction
11.2 Europe Artificial Intelligence in Aviation Market Size Forecast by Country
11.2.1 Germany
11.2.2 France
11.2.3 Italy
11.2.4 U.K.
11.2.5 Spain
11.2.6 Russia
11.2.7 Rest of Europe
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Europe Artificial Intelligence in Aviation Market Size Forecast by Technology
11.6.1 Machine Learning
11.6.2 Context Awareness Computing
11.6.3 Natural Language Processing
11.6.4 Computer Vision
11.7 Basis Point Share (BPS) Analysis by Technology
11.8 Absolute $ Opportunity Assessment by Technology
11.9 Market Attractiveness Analysis by Technology
11.10 Europe Artificial Intelligence in Aviation Market Size Forecast by Offering
11.10.1 Software
11.10.2 Hardware
11.10.3 Services
11.11 Basis Point Share (BPS) Analysis by Offering
11.12 Absolute $ Opportunity Assessment by Offering
11.13 Market Attractiveness Analysis by Offering
11.14 Europe Artificial Intelligence in Aviation Market Size Forecast by Application
11.14.1 Dynamic Pricing
11.14.2 Training
11.14.3 Smart Maintenance
11.14.4 Manufacturing
11.14.5 Surveillance
11.14.6 Flight Operations
11.14.7 Virtual Assistants
11.15 Basis Point Share (BPS) Analysis by Application
11.16 Absolute $ Opportunity Assessment by Application
11.17 Market Attractiveness Analysis by Application
Chapter 12 Asia Pacific Artificial Intelligence in Aviation Analysis and Forecast
12.1 Introduction
12.2 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Country
12.2.1 China
12.2.2 Japan
12.2.3 South Korea
12.2.4 India
12.2.5 Australia
12.2.6 South East Asia (SEA)
12.2.7 Rest of Asia Pacific (APAC)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Technology
12.6.1 Machine Learning
12.6.2 Context Awareness Computing
12.6.3 Natural Language Processing
12.6.4 Computer Vision
12.7 Basis Point Share (BPS) Analysis by Technology
12.8 Absolute $ Opportunity Assessment by Technology
12.9 Market Attractiveness Analysis by Technology
12.10 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Offering
12.10.1 Software
12.10.2 Hardware
12.10.3 Services
12.11 Basis Point Share (BPS) Analysis by Offering
12.12 Absolute $ Opportunity Assessment by Offering
12.13 Market Attractiveness Analysis by Offering
12.14 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Application
12.14.1 Dynamic Pricing
12.14.2 Training
12.14.3 Smart Maintenance
12.14.4 Manufacturing
12.14.5 Surveillance
12.14.6 Flight Operations
12.14.7 Virtual Assistants
12.15 Basis Point Share (BPS) Analysis by Application
12.16 Absolute $ Opportunity Assessment by Application
12.17 Market Attractiveness Analysis by Application
Chapter 13 Latin America Artificial Intelligence in Aviation Analysis and Forecast
13.1 Introduction
13.2 Latin America Artificial Intelligence in Aviation Market Size Forecast by Country
13.2.1 Brazil
13.2.2 Mexico
13.2.3 Rest of Latin America (LATAM)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Latin America Artificial Intelligence in Aviation Market Size Forecast by Technology
13.6.1 Machine Learning
13.6.2 Context Awareness Computing
13.6.3 Natural Language Processing
13.6.4 Computer Vision
13.7 Basis Point Share (BPS) Analysis by Technology
13.8 Absolute $ Opportunity Assessment by Technology
13.9 Market Attractiveness Analysis by Technology
13.10 Latin America Artificial Intelligence in Aviation Market Size Forecast by Offering
13.10.1 Software
13.10.2 Hardware
13.10.3 Services
13.11 Basis Point Share (BPS) Analysis by Offering
13.12 Absolute $ Opportunity Assessment by Offering
13.13 Market Attractiveness Analysis by Offering
13.14 Latin America Artificial Intelligence in Aviation Market Size Forecast by Application
13.14.1 Dynamic Pricing
13.14.2 Training
13.14.3 Smart Maintenance
13.14.4 Manufacturing
13.14.5 Surveillance
13.14.6 Flight Operations
13.14.7 Virtual Assistants
13.15 Basis Point Share (BPS) Analysis by Application
13.16 Absolute $ Opportunity Assessment by Application
13.17 Market Attractiveness Analysis by Application
Chapter 14 Middle East & Africa (MEA) Artificial Intelligence in Aviation Analysis and Forecast
14.1 Introduction
14.2 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Country
14.2.1 Saudi Arabia
14.2.2 South Africa
14.2.3 UAE
14.2.4 Rest of Middle East & Africa (MEA)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Technology
14.6.1 Machine Learning
14.6.2 Context Awareness Computing
14.6.3 Natural Language Processing
14.6.4 Computer Vision
14.7 Basis Point Share (BPS) Analysis by Technology
14.8 Absolute $ Opportunity Assessment by Technology
14.9 Market Attractiveness Analysis by Technology
14.10 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Offering
14.10.1 Software
14.10.2 Hardware
14.10.3 Services
14.11 Basis Point Share (BPS) Analysis by Offering
14.12 Absolute $ Opportunity Assessment by Offering
14.13 Market Attractiveness Analysis by Offering
14.14 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Application
14.14.1 Dynamic Pricing
14.14.2 Training
14.14.3 Smart Maintenance
14.14.4 Manufacturing
14.14.5 Surveillance
14.14.6 Flight Operations
14.14.7 Virtual Assistants
14.15 Basis Point Share (BPS) Analysis by Application
14.16 Absolute $ Opportunity Assessment by Application
14.17 Market Attractiveness Analysis by Application
Chapter 15 Competition Landscape
15.1 Artificial Intelligence in Aviation Market: Competitive Dashboard
15.2 Global Artificial Intelligence in Aviation Market: Market Share Analysis, 2019
15.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
15.3.1 Amazon
15.3.2 Samsung Electronics
15.3.3 Xilinx
15.3.4 Thales
15.3.5 Intel
15.3.6 Garmin
15.3.7 Lockheed Martin
15.3.8 IBM
15.3.9 Microsoft
15.3.10 Nvidia
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Aviation Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence in Aviation Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence in Aviation Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence in Aviation Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence in Aviation Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence in Aviation Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence in Aviation Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Technology
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Technology
5.1.2 Basis Point Share (BPS) Analysis by Technology
5.1.3 Absolute $ Opportunity Assessment by Technology
5.2 Artificial Intelligence in Aviation Market Size Forecast by Technology
5.2.1 Machine Learning
5.2.2 Context Awareness Computing
5.2.3 Natural Language Processing
5.2.4 Computer Vision
5.3 Market Attractiveness Analysis by Technology
Chapter 6 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Offering
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Offering
6.1.2 Basis Point Share (BPS) Analysis by Offering
6.1.3 Absolute $ Opportunity Assessment by Offering
6.2 Artificial Intelligence in Aviation Market Size Forecast by Offering
6.2.1 Software
6.2.2 Hardware
6.2.3 Services
6.3 Market Attractiveness Analysis by Offering
Chapter 7 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Application
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Application
7.1.2 Basis Point Share (BPS) Analysis by Application
7.1.3 Absolute $ Opportunity Assessment by Application
7.2 Artificial Intelligence in Aviation Market Size Forecast by Application
7.2.1 Dynamic Pricing
7.2.2 Training
7.2.3 Smart Maintenance
7.2.4 Manufacturing
7.2.5 Surveillance
7.2.6 Flight Operations
7.2.7 Virtual Assistants
7.3 Market Attractiveness Analysis by Application
Chapter 8 Global Artificial Intelligence in Aviation Market Analysis and Forecast by Region
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities by Region
8.1.2 Basis Point Share (BPS) Analysis by Region
8.1.3 Absolute $ Opportunity Assessment by Region
8.2 Artificial Intelligence in Aviation Market Size Forecast by Region
8.2.1 North America
8.2.2 Europe
8.2.3 Asia Pacific
8.2.4 Latin America
8.2.5 Middle East & Africa (MEA)
8.3 Market Attractiveness Analysis by Region
Chapter 9 Coronavirus Disease (COVID-19) Impact
9.1 Introduction
9.2 Current & Future Impact Analysis
9.3 Economic Impact Analysis
9.4 Government Policies
9.5 Investment Scenario
Chapter 10 North America Artificial Intelligence in Aviation Analysis and Forecast
10.1 Introduction
10.2 North America Artificial Intelligence in Aviation Market Size Forecast by Country
10.2.1 U.S.
10.2.2 Canada
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 North America Artificial Intelligence in Aviation Market Size Forecast by Technology
10.6.1 Machine Learning
10.6.2 Context Awareness Computing
10.6.3 Natural Language Processing
10.6.4 Computer Vision
10.7 Basis Point Share (BPS) Analysis by Technology
10.8 Absolute $ Opportunity Assessment by Technology
10.9 Market Attractiveness Analysis by Technology
10.10 North America Artificial Intelligence in Aviation Market Size Forecast by Offering
10.10.1 Software
10.10.2 Hardware
10.10.3 Services
10.11 Basis Point Share (BPS) Analysis by Offering
10.12 Absolute $ Opportunity Assessment by Offering
10.13 Market Attractiveness Analysis by Offering
10.14 North America Artificial Intelligence in Aviation Market Size Forecast by Application
10.14.1 Dynamic Pricing
10.14.2 Training
10.14.3 Smart Maintenance
10.14.4 Manufacturing
10.14.5 Surveillance
10.14.6 Flight Operations
10.14.7 Virtual Assistants
10.15 Basis Point Share (BPS) Analysis by Application
10.16 Absolute $ Opportunity Assessment by Application
10.17 Market Attractiveness Analysis by Application
Chapter 11 Europe Artificial Intelligence in Aviation Analysis and Forecast
11.1 Introduction
11.2 Europe Artificial Intelligence in Aviation Market Size Forecast by Country
11.2.1 Germany
11.2.2 France
11.2.3 Italy
11.2.4 U.K.
11.2.5 Spain
11.2.6 Russia
11.2.7 Rest of Europe
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Europe Artificial Intelligence in Aviation Market Size Forecast by Technology
11.6.1 Machine Learning
11.6.2 Context Awareness Computing
11.6.3 Natural Language Processing
11.6.4 Computer Vision
11.7 Basis Point Share (BPS) Analysis by Technology
11.8 Absolute $ Opportunity Assessment by Technology
11.9 Market Attractiveness Analysis by Technology
11.10 Europe Artificial Intelligence in Aviation Market Size Forecast by Offering
11.10.1 Software
11.10.2 Hardware
11.10.3 Services
11.11 Basis Point Share (BPS) Analysis by Offering
11.12 Absolute $ Opportunity Assessment by Offering
11.13 Market Attractiveness Analysis by Offering
11.14 Europe Artificial Intelligence in Aviation Market Size Forecast by Application
11.14.1 Dynamic Pricing
11.14.2 Training
11.14.3 Smart Maintenance
11.14.4 Manufacturing
11.14.5 Surveillance
11.14.6 Flight Operations
11.14.7 Virtual Assistants
11.15 Basis Point Share (BPS) Analysis by Application
11.16 Absolute $ Opportunity Assessment by Application
11.17 Market Attractiveness Analysis by Application
Chapter 12 Asia Pacific Artificial Intelligence in Aviation Analysis and Forecast
12.1 Introduction
12.2 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Country
12.2.1 China
12.2.2 Japan
12.2.3 South Korea
12.2.4 India
12.2.5 Australia
12.2.6 South East Asia (SEA)
12.2.7 Rest of Asia Pacific (APAC)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Technology
12.6.1 Machine Learning
12.6.2 Context Awareness Computing
12.6.3 Natural Language Processing
12.6.4 Computer Vision
12.7 Basis Point Share (BPS) Analysis by Technology
12.8 Absolute $ Opportunity Assessment by Technology
12.9 Market Attractiveness Analysis by Technology
12.10 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Offering
12.10.1 Software
12.10.2 Hardware
12.10.3 Services
12.11 Basis Point Share (BPS) Analysis by Offering
12.12 Absolute $ Opportunity Assessment by Offering
12.13 Market Attractiveness Analysis by Offering
12.14 Asia Pacific Artificial Intelligence in Aviation Market Size Forecast by Application
12.14.1 Dynamic Pricing
12.14.2 Training
12.14.3 Smart Maintenance
12.14.4 Manufacturing
12.14.5 Surveillance
12.14.6 Flight Operations
12.14.7 Virtual Assistants
12.15 Basis Point Share (BPS) Analysis by Application
12.16 Absolute $ Opportunity Assessment by Application
12.17 Market Attractiveness Analysis by Application
Chapter 13 Latin America Artificial Intelligence in Aviation Analysis and Forecast
13.1 Introduction
13.2 Latin America Artificial Intelligence in Aviation Market Size Forecast by Country
13.2.1 Brazil
13.2.2 Mexico
13.2.3 Rest of Latin America (LATAM)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Latin America Artificial Intelligence in Aviation Market Size Forecast by Technology
13.6.1 Machine Learning
13.6.2 Context Awareness Computing
13.6.3 Natural Language Processing
13.6.4 Computer Vision
13.7 Basis Point Share (BPS) Analysis by Technology
13.8 Absolute $ Opportunity Assessment by Technology
13.9 Market Attractiveness Analysis by Technology
13.10 Latin America Artificial Intelligence in Aviation Market Size Forecast by Offering
13.10.1 Software
13.10.2 Hardware
13.10.3 Services
13.11 Basis Point Share (BPS) Analysis by Offering
13.12 Absolute $ Opportunity Assessment by Offering
13.13 Market Attractiveness Analysis by Offering
13.14 Latin America Artificial Intelligence in Aviation Market Size Forecast by Application
13.14.1 Dynamic Pricing
13.14.2 Training
13.14.3 Smart Maintenance
13.14.4 Manufacturing
13.14.5 Surveillance
13.14.6 Flight Operations
13.14.7 Virtual Assistants
13.15 Basis Point Share (BPS) Analysis by Application
13.16 Absolute $ Opportunity Assessment by Application
13.17 Market Attractiveness Analysis by Application
Chapter 14 Middle East & Africa (MEA) Artificial Intelligence in Aviation Analysis and Forecast
14.1 Introduction
14.2 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Country
14.2.1 Saudi Arabia
14.2.2 South Africa
14.2.3 UAE
14.2.4 Rest of Middle East & Africa (MEA)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Technology
14.6.1 Machine Learning
14.6.2 Context Awareness Computing
14.6.3 Natural Language Processing
14.6.4 Computer Vision
14.7 Basis Point Share (BPS) Analysis by Technology
14.8 Absolute $ Opportunity Assessment by Technology
14.9 Market Attractiveness Analysis by Technology
14.10 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Offering
14.10.1 Software
14.10.2 Hardware
14.10.3 Services
14.11 Basis Point Share (BPS) Analysis by Offering
14.12 Absolute $ Opportunity Assessment by Offering
14.13 Market Attractiveness Analysis by Offering
14.14 Middle East & Africa (MEA) Artificial Intelligence in Aviation Market Size Forecast by Application
14.14.1 Dynamic Pricing
14.14.2 Training
14.14.3 Smart Maintenance
14.14.4 Manufacturing
14.14.5 Surveillance
14.14.6 Flight Operations
14.14.7 Virtual Assistants
14.15 Basis Point Share (BPS) Analysis by Application
14.16 Absolute $ Opportunity Assessment by Application
14.17 Market Attractiveness Analysis by Application
Chapter 15 Competition Landscape
15.1 Artificial Intelligence in Aviation Market: Competitive Dashboard
15.2 Global Artificial Intelligence in Aviation Market: Market Share Analysis, 2019
15.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
15.3.1 Amazon
15.3.2 Samsung Electronics
15.3.3 Xilinx
15.3.4 Thales
15.3.5 Intel
15.3.6 Garmin
15.3.7 Lockheed Martin
15.3.8 IBM
15.3.9 Microsoft
15.3.10 Nvidia
Segments Covered in the Report
The global Artificial Intelligence in Aviation market has been segmented based on
By Technology
The global Artificial Intelligence in Aviation market has been segmented based on
By Technology
- Machine Learning
- Context Awareness Computing
- Natural Language Processing
- Computer Vision
- Software
- Hardware
- Services
- Dynamic Pricing
- Training
- Smart Maintenance
- Manufacturing
- Surveillance
- Flight Operations
- Virtual Assistants
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
- Amazon
- Samsung Electronics
- Xilinx
- Thales
- Intel
- Garmin
- Lockheed Martin
- IBM
- Microsoft
- Nvidia
Our Clients
Related Reports
Some other reports from this category!
