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 (AI) in aviation market expected to grow at a CAGR of 46.65% between 2018 and 2025”
The 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% during the forecast period. 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. However, limited number of experts in AI is restraining the growth of the AI in aviation market.
“Virtual assistants expected to hold a major share of the AI in aviation market in 2018”
AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their recurring works, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs are taken care by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots. Virtual assistants are also used by airline companies to improve customer services. AI-enabled virtual assistance can provide instant answers to simple questions (on flight status or services/offerings (audio, video, Wi-Fi) on flights) of customers, while customer representatives can attend to more important issues.
“AI in aviation market in APAC expected to grow at the highest rate between 2018 and 2025”
China and Japan are the major contributors to the growth of the AI in aviation market in APAC. The increasing adoption of machine learning and NLP technologies for virtual assistance and training applications in the aviation sector is supporting the growth of the AI in aviation market in this region. There is a huge demand for AI technologies from these countries to increase the 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.
In the process of determining and verifying the market size for several segments gathered through secondary research, extensive primary interviews have been conducted with key industry people. The breakup of the profile of primary participants has been given below:
Research Coverage:
From an insight perspective, this research report has focused on various levels of analysis—market ranking of top players, company profiles that discuss basic views on the competitive landscape, emerging and high-growth segments of the AI in aviation market, high-growth regions, and market dynamics—such as drivers, restraints, opportunities, and challenges.
The report provides insights on the following pointers:
The 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% during the forecast period. 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. However, limited number of experts in AI is restraining the growth of the AI in aviation market.
“Virtual assistants expected to hold a major share of the AI in aviation market in 2018”
AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their recurring works, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs are taken care by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots. Virtual assistants are also used by airline companies to improve customer services. AI-enabled virtual assistance can provide instant answers to simple questions (on flight status or services/offerings (audio, video, Wi-Fi) on flights) of customers, while customer representatives can attend to more important issues.
“AI in aviation market in APAC expected to grow at the highest rate between 2018 and 2025”
China and Japan are the major contributors to the growth of the AI in aviation market in APAC. The increasing adoption of machine learning and NLP technologies for virtual assistance and training applications in the aviation sector is supporting the growth of the AI in aviation market in this region. There is a huge demand for AI technologies from these countries to increase the 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.
In the process of determining and verifying the market size for several segments gathered through secondary research, extensive primary interviews have been conducted with key industry people. The breakup of the profile of primary participants has been given below:
- By Company Type: Tier 1 = 25%, Tier 2 = 35%, and Tier 3 = 40%
- By Designation: C-Level Executives = 40%, Directors = 30%, Others=30%
- By Region: Americas = 45%, Europe = 35%, APAC = 10%, and RoW = 10%
Research Coverage:
- The AI in aviation market, by offering, covers hardware, software, and services
- The AI in aviation market, by technology, covers machine learning, natural language processing, context awareness computing, and computer vision
- The AI in aviation market, by application, covers virtual assistants, smart maintenance, manufacturing, training, surveillance, flight operations, dynamic pricing, and others
- The geographic analysis has been done with regard to North America, Europe, APAC, and RoW
From an insight perspective, this research report has focused on various levels of analysis—market ranking of top players, company profiles that discuss basic views on the competitive landscape, emerging and high-growth segments of the AI in aviation market, high-growth regions, and market dynamics—such as drivers, restraints, opportunities, and challenges.
The report provides insights on the following pointers:
- Market development: Comprehensive information about lucrative emerging markets and analysis of the AI in aviation market across regions
- Market diversification: Exhaustive information about new products, untapped geographies, and recent developments in the overall AI in aviation market
- Competitive assessment: In-depth assessment of the market ranking, strategies, and products of the leading players in the AI in aviation market
1 INTRODUCTION
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
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
4 PREMIUM INSIGHTS
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
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
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
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
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
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
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
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
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
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
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
4 PREMIUM INSIGHTS
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
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
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
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
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
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
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
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
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
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 (U
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 (U
