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

MarketsandMarkets | ID: 1524144439338 | Published at: 2018-02-12 | Pages: 167

  • €4.785,63


“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:
• 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%
The report profiles the top players in the AI in aviation market, along with providing their respective market ranking. The prominent players in the AI in aviation market include 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).
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

Reasons to Buy This Report:
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

TABLE OF CONTENTS

1 INTRODUCTION 15

  • 1.1 OBJECTIVES OF THE STUDY 15
  • 1.2 MARKET DEFINITION 15
  • 1.3 STUDY SCOPE 16
    • 1.3.1 MARKETS COVERED 16
    • 1.3.2 YEARS CONSIDERED FOR THIS STUDY 16
  • 1.4 CURRENCY 17
  • 1.5 LIMITATIONS 17
  • 1.6 STAKEHOLDERS 17
    2 RESEARCH METHODOLOGY 18
  • 2.1 RESEARCH DATA 18
    • 2.1.1 SECONDARY DATA 19
      • 2.1.1.1 Key data from secondary sources 19
    • 2.1.2 PRIMARY DATA 20
      • 2.1.2.1 Key data from primary sources 20
      • 2.1.2.2 Key industry insights 21
      • 2.1.2.3 Breakdown of primaries 21
  • 2.2 MARKET SIZE ESTIMATION 22
    • 2.2.1 BOTTOM-UP APPROACH 23
    • 2.2.2 TOP-DOWN APPROACH 24
  • 2.3 MARKET BREAKDOWN & DATA TRIANGULATION 25
  • 2.4 RESEARCH ASSUMPTIONS 26
    3 EXECUTIVE SUMMARY 27
    4 PREMIUM INSIGHTS 32
  • 4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE AI IN AVIATION MARKET 32
  • 4.2 AI IN AVIATION MARKET, BY OFFERING 33
  • 4.3 AI IN AVIATION MARKET, BY TECHNOLOGY 33
  • 4.4 AI IN AVIATION MARKET, BY APPLICATION 34
  • 4.5 AI IN AVIATION MARKET IN NORTH AMERICA, BY APPLICATION AND BY COUNTRY 35
  • 4.6 AI IN AVIATION MARKET, BY COUNTRY 36

5 MARKET OVERVIEW 37

  • 5.1 INTRODUCTION 37
  • 5.2 MARKET DYNAMICS 37
    • 5.2.1 DRIVERS 38
      • 5.2.1.1 Use of big data in aerospace industry 38
      • 5.2.1.2 Significant increase in capital investments by aviation companies 38
      • 5.2.1.3 Rising adoption of cloud-based applications and services in aviation industry 39
    • 5.2.2 RESTRAINTS 39
      • 5.2.2.1 Limited number of experts in AI 39
    • 5.2.3 OPPORTUNITIES 40
      • 5.2.3.1 Increasing adoption of AI to improve customer services 40
      • 5.2.3.2 Improved operational efficiency with the help of AI in aviation industry 40
    • 5.2.4 CHALLENGES 41
      • 5.2.4.1 Concerns regarding data privacy 41
  • 5.3 USE CASES 41
    • 5.3.1 KONINKLIJKE LUCHTVAART MAATSCHAPPIJ N.V. (THE NETHERLANDS): VIRTUAL ASSISTANT 41
    • 5.3.2 DELTA AIR LINES, INC. (US): SELF-SERVICE KIOSKS 41
    • 5.3.3 SOUTHWEST AIRLINES CO.(US): FLIGHT OPERATIONS 42
    • 5.3.4 UNITED AIRLINES, INC.(US): VIRTUAL ASSISTANT 42
    • 5.3.5 SEARIDGE TECHNOLOGIES (CANADA): AIR TRAFFIC CONTROL 42
    • 5.3.6 AERIALTRONICS DV B.V. (NETHERLANDS), NEURALA (US), AND NVIDIA (US): FLIGHT INSPECTION 42
    • 5.3.7 IRIS AUTOMATION INC. (US): SURVEILLANCE 43
    • 5.3.8 EASYJET (UK): FLIGHT OPERATIONS 43
    • 5.3.9 KITTYHAWK (US): VIRTUAL ASSISTANT 43
    • 5.3.10 BOEING (US): SMART MAINTENANCE 43
      6 AI IN AVIATION MARKET, BY OFFERING 44
  • 6.1 INTRODUCTION 45
  • 6.2 SOFTWARE 46
    • 6.2.1 AI SOLUTIONS 48
    • 6.2.2 AI PLATFORMS 48
  • 6.3 HARDWARE 49
    • 6.3.1 PROCESSORS 52
    • 6.3.2 MEMORY 52
    • 6.3.3 NETWORKS 52
  • 6.4 SERVICES 52
    • 6.4.1 DEPLOYMENT & INTEGRATION 54
    • 6.4.2 SUPPORT & MAINTENANCE 54
      7 ARTIFICIAL INTELLIGENCE IN AVIATION MARKET, BY TECHNOLOGY 55
  • 7.1 INTRODUCTION 56
  • 7.2 MACHINE LEARNING 57
    • 7.2.1 DEEP LEARNING 59
    • 7.2.2 SUPERVISED LEARNING 59
    • 7.2.3 UNSUPERVISED LEARNING 60
    • 7.2.4 REINFORCEMENT LEARNING 60
    • 7.2.5 SEMI-SUPERVISED LEARNING 60
  • 7.3 NATURAL LANGUAGE PROCESSING (NLP) 60
  • 7.4 CONTEXT AWARENESS COMPUTING 62
  • 7.5 COMPUTER VISION 63
    8 AI IN AVIATION MARKET, BY APPLICATION 65
  • 8.1 INTRODUCTION 66
  • 8.2 SMART MAINTENANCE 68
  • 8.3 FLIGHT OPERATIONS 70
  • 8.4 TRAINING 72
  • 8.5 SURVEILLANCE 74
  • 8.6 VIRTUAL ASSISTANTS 76
  • 8.7 DYNAMIC PRICING 79
  • 8.8 MANUFACTURING 81
    • 8.8.1 MATERIAL MOVEMENT 81
    • 8.8.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 82
    • 8.8.3 PRODUCTION PLANNING 82
    • 8.8.4 QUALITY CONTROL 82
    • 8.8.5 RECLAMATION 83
  • 8.9 OTHERS 85
    9 AI IN AVIATION MARKET, BY GEOGRAPHY 87
  • 9.1 INTRODUCTION 88
  • 9.2 NORTH AMERICA 90
    • 9.2.1 US 94
    • 9.2.2 CANADA 95
    • 9.2.3 MEXICO 95
  • 9.3 EUROPE 95
    • 9.3.1 GERMANY 99
    • 9.3.2 UK 99
    • 9.3.3 FRANCE 99
    • 9.3.4 ITALY 100
    • 9.3.5 SPAIN 100
    • 9.3.6 REST OF EUROPE 100
  • 9.4 ASIA PACIFIC 100
    • 9.4.1 CHINA 104
    • 9.4.2 JAPAN 104
    • 9.4.3 SOUTH KOREA 105
    • 9.4.4 INDIA 105
    • 9.4.5 REST OF ASIA PACIFIC (ROAPAC) 105
  • 9.5 ROW 106
    • 9.5.1 MIDDLE EAST & AFRICA (MEA) 108
    • 9.5.2 SOUTH AMERICA 108
      10 COMPETITIVE LANDSCAPE 109
  • 10.1 OVERVIEW 109
  • 10.2 KEY PLAYERS IN THE AI IN AVIATION MARKET 110
  • 10.3 COMPETITIVE SCENARIO 113
    • 10.3.1 PRODUCT LAUNCHES 113
    • 10.3.2 PARTNERSHIPS/AGREEMENTS/COLLABORATIONS 114
    • 10.3.3 ACQUISITIONS 115
    • 10.3.4 EXPANSIONS & INVESTMENTS 116
      11 COMPANY PROFILES 117
  • 11.1 KEY PLAYERS 117
    (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
    • 11.1.1 NVIDIA 117
    • 11.1.2 INTEL 121
    • 11.1.3 XILINX 124
    • 11.1.4 SAMSUNG ELECTRONICS 127
    • 11.1.5 MICRON 130
    • 11.1.6 IBM 134
    • 11.1.7 MICROSOFT 136
    • 11.1.8 AMAZON 138
    • 11.1.9 AIRBUS 140
    • 11.1.10 BOEING 142
    • 11.1.11 GE 144
    • 11.1.12 THALES 146
    • 11.1.13 LOCKHEED MARTIN 148
    • 11.1.14 GARMIN 150
*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 153
    • 11.2.1 NEURALA 153
    • 11.2.2 KITTYHAWK 153
    • 11.2.3 IRIS AUTOMATION 153
    • 11.2.4 PILOT AI LABS 154
    • 11.2.5 NORTHROP GRUMMAN 154
    • 11.2.6 PALADIN: PARADIGM KNOWLEDGE SOLUTIONS 155
    • 11.2.7 SEARIDGE TECHNOLOGIES 155
    • 11.2.8 INNOVATIVE BINARIES 155
    • 11.2.9 COGNITIVE CODE 156
      12 APPENDIX 157
  • 12.1 INSIGHTS FROM INDUSTRY EXPERTS 157
  • 12.2 DISCUSSION GUIDE 158
  • 12.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 160
  • 12.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 162
  • 12.5 AVAILABLE CUSTOMIZATION 164
  • 12.6 RELATED REPORTS 164
  • 12.7 AUTHOR DETAILS 165

LIST OF TABLES

TABLE 1 AI IN AVIATION MARKET, BY OFFERING, 2015–2025 (USD MILLION) 45
TABLE 2 AI IN AVIATION MARKET, BY SOFTWARE, 2015–2025 (USD MILLION) 46
TABLE 3 AI IN AVIATION MARKET FOR SOFTWARE, BY AI PLATFORM,
2015–2025 (USD MILLION) 47
TABLE 4 AI IN AVIATION MARKET FOR SOFTWARE, BY REGION, 2015–2025 (USD MILLION) 48
TABLE 5 AI IN AVIATION MARKET, BY HARDWARE, 2015–2025 (USD MILLION) 50
TABLE 6 AI IN AVIATION MARKET FOR HARDWARE, BY PROCESSOR,
2015–2025 (USD MILLION) 50
TABLE 7 AI IN AVIATION MARKET FOR HARDWARE, BY PROCESSOR,
2015–2025 (THOUSAND UNITS) 51
TABLE 8 AI IN AVIATION MARKET FOR HARDWARE, BY REGION, 2015–2025 (USD MILLION) 51
TABLE 9 AI IN AVIATION MARKET, BY SERVICE, 2015–2025 (USD MILLION) 53
TABLE 10 AI IN AVIATION MARKET FOR SERVICES, BY REGION, 2015–2025 (USD MILLION) 54
TABLE 11 AI IN AVIATION MARKET, BY TECHNOLOGY, 2015–2025 (USD MILLION) 56
TABLE 12 AI IN AVIATION MARKET FOR MACHINE LEARNING, BY TYPE,
2015–2025 (USD MILLION) 58
TABLE 13 AI IN AVIATION MARKET FOR MACHINE LEARNING, BY REGION,
2015–2025 (USD MILLION) 59
TABLE 14 AI IN AVIATION MARKET FOR NLP, BY PROCESS, 2015–2025 (USD MILLION) 61
TABLE 15 AI IN AVIATION MARKET FOR NLP, BY REGION, 2015–2025 (USD MILLION) 62
TABLE 16 AI IN AVIATION MARKET FOR CONTEXT AWARENESS COMPUTING, BY REGION, 2015–2025 (USD MILLION) 63
TABLE 17 AI IN AVIATION MARKET FOR COMPUTER VISION, BY REGION,
2015–2025 (USD MILLION) 63
TABLE 18 AI IN AVIATION MARKET, BY APPLICATION, 2015–2025 (USD MILLION) 67
TABLE 19 AI IN AVIATION MARKET FOR SMART MAINTENANCE, BY REGION,
2015–2025 (USD MILLION) 68
TABLE 20 AI IN AVIATION MARKET FOR SMART MAINTENANCE, BY OFFERING,
2015–2025 (USD MILLION) 69
TABLE 21 AI IN AVIATION MARKET FOR SMART MAINTENANCE, BY TECHNOLOGY,
2015–2025 (USD MILLION) 69
TABLE 22 AI IN AVIATION MARKET FOR FLIGHT OPERATIONS, BY REGION,
2015–2025 (USD MILLION) 71
TABLE 23 AI IN AVIATION MARKET FOR FLIGHT OPERATIONS, BY OFFERING,
2015–2025 (USD MILLION) 71
TABLE 24 AI IN AVIATION MARKET FOR FLIGHT OPERATIONS, BY TECHNOLOGY,
2015–2025 (USD THOUSAND) 72
TABLE 25 AI IN AVIATION MARKET FOR TRAINING, BY REGION, 2015–2025 (USD MILLION) 73
TABLE 26 AI IN AVIATION MARKET FOR TRAINING, BY OFFERING, 2015–2025 (USD MILLION) 73
TABLE 27 AI IN AVIATION MARKET FOR TRAINING, BY TECHNOLOGY,
2015–2025 (USD MILLION) 74
TABLE 28 AI IN AVIATION MARKET FOR SURVEILLANCE, BY REGION,
2015–2025 (USD MILLION) 75
TABLE 29 AI IN AVIATION MARKET FOR SURVEILLANCE, BY OFFERING,
2015–2025 (USD MILLION) 76
TABLE 30 AI IN AVIATION MARKET FOR SURVEILLANCE, BY TECHNOLOGY,
2015–2025 (USD MILLION) 76
TABLE 31 AI IN AVIATION MARKET FOR VIRTUAL ASSISTANTS, BY REGION,
2015–2025 (USD THOUSAND) 77
TABLE 32 AI IN AVIATION MARKET FOR VIRTUAL ASSISTANTS, BY OFFERING,
2015–2025 (USD MILLION) 78
TABLE 33 AI IN AVIATION MARKET FOR VIRTUAL ASSISTANTS, BY TECHNOLOGY,
2015–2025 (USD MILLION) 78
TABLE 34 AI IN AVIATION MARKET FOR DYNAMIC PRICING, BY REGION,
2015–2025 (USD MILLION) 79
TABLE 35 AI IN AVIATION MARKET FOR DYNAMICS PRICING, BY OFFERING,
2015–2025 (USD THOUSAND) 80
TABLE 36 AI IN AVIATION MARKET FOR DYNAMIC PRICING, BY TECHNOLOGY,
2015–2025 (USD MILLION) 81
TABLE 37 AI IN AVIATION MARKET FOR MANUFACTURING, BY REGION,
2015–2025 (USD MILLION) 83
TABLE 38 AI IN AVIATION MARKET FOR MANUFACTURING, BY TYPE,
2015–2025 (USD THOUSAND) 83
TABLE 39 AI IN AVIATION MARKET FOR MANUFACTURING, BY OFFERING,
2015–2025 (USD MILLION) 84
TABLE 40 AI IN AVIATION MARKET FOR MANUFACTURING, BY TECHNOLOGY,
2015–2025 (USD MILLION) 85
TABLE 41 AI IN AVIATION MARKET FOR OTHER APPLICATIONS, BY REGION,
2015–2025 (USD MILLION) 85
TABLE 42 AI IN AVIATION MARKET FOR OTHER APPLICATIONS, BY OFFERING,
2015–2025 (USD MILLION) 86
TABLE 43 AI IN AVIATION MARKET FOR OTHER APPLICATIONS, BY TECHNOLOGY,
2015–2025 (USD THOUSAND) 86
TABLE 44 AI IN AVIATION MARKET, BY REGION, 2015–2025 (USD MILLION) 89
TABLE 45 AI IN AVIATION MARKET IN NORTH AMERICA, BY COUNTRY,
2015–2025 (USD MILLION) 92
TABLE 46 AI IN AVIATION MARKET IN NORTH AMERICA, BY OFFERING,
2015–2025 (USD MILLION) 93
TABLE 47 AI IN AVIATION MARKET IN NORTH AMERICA, BY APPLICATION,
2015–2025 (USD MILLION) 93
TABLE 48 AI IN AVIATION MARKET IN NORTH AMERICA, BY TECHNOLOGY,
2015–2025 (USD MILLION) 94
TABLE 49 AI IN AVIATION MARKET IN EUROPE, BY COUNTRY/REGION,
2015–2025 (USD MILLION) 97
TABLE 50 AI IN AVIATION MARKET IN EUROPE, BY OFFERING, 2015–2025 (USD MILLION) 97
TABLE 51 AI IN AVIATION MARKET IN EUROPE, BY APPLICATION, 2015–2025 (USD MILLION) 98
TABLE 52 AI IN AVIATION MARKET IN EUROPE, BY TECHNOLOGY, 2015–2025 (USD MILLION) 98
TABLE 53 AI IN AVIATION MARKET IN APAC, BY COUNTRY/REGION,
2015–2025 (USD MILLION) 102
TABLE 54 AI IN AVIATION MARKET IN APAC, BY OFFERING, 2015–2025 (USD MILLION) 103
TABLE 55 AI IN AVIATION MARKET IN APAC, BY APPLICATION, 2015–2025 (USD THOUSAND) 103
TABLE 56 AI IN AVIATION MARKET IN APAC, BY TECHNOLOGY, 2015–2025 (USD MILLION) 104
TABLE 57 AI IN AVIATION MARKET IN ROW, BY REGION, 2015–2025 (USD MILLION) 106
TABLE 58 AI IN AVIATION MARKET IN ROW, BY OFFERING, 2015–2025 (USD MILLION) 106
TABLE 59 AI IN AVIATION MARKET IN ROW, BY APPLICATION, 2015–2025 (USD THOUSAND) 107
TABLE 60 AI IN AVIATION MARKET IN ROW, BY TECHNOLOGY, 2015–2025 (USD MILLION) 107
TABLE 61 RANKING OF THE KEY PLAYERS IN THE AI IN AVIATION
FOR HARDWARE MARKET, 2017 110
TABLE 62 RANKING OF THE KEY PLAYERS IN THE AI IN AVIATION MARKET
FOR SOFTWARE, 2017 112
TABLE 63 PRODUCT LAUNCHES, 2016–2017 113
TABLE 64 PARTNERSHIPS, AGREEMENTS, & COLLABORATIONS, 2016–2017 114
TABLE 65 ACQUISITIONS, 2015–2017 115
TABLE 66 EXPANSIONS & INVESTMENTS, 2017 116


LIST OF FIGURES

FIGURE 1 AI IN AVIATION MARKET: RESEARCH DESIGN 18
FIGURE 2 PROCESS FLOW OF MARKET SIZE ESTIMATION 22
FIGURE 3 MARKET SIZE ESTIMATION: BOTTOM-UP APPROACH 23
FIGURE 4 MARKET SIZE ESTIMATION: TOP-DOWN APPROACH 24
FIGURE 5 MARKET BREAKDOWN AND DATA TRIANGULATION 25
FIGURE 6 AI IN AVIATION MARKET, BY OFFERING, 2018–2025 28
FIGURE 7 AI IN AVIATION MARKET, BY TECHNOLOGY, 2018–2025 29
FIGURE 8 AI IN AVIATION MARKET, BY APPLICATION, 2018 VS 2025 30
FIGURE 9 AI IN AVIATION MARKET, BY REGION, 2018–2025 31
FIGURE 10 INCREASING DEMAND FOR AI IN SURVEILLANCE APPLICATIONS TO BOOST THE GROWTH OF THE AI IN AVIATION MARKET BETWEEN 2018 AND 2025 32
FIGURE 11 SOFTWARE TO HOLD THE LARGEST SIZE OF AI IN AVIATION MARKET BETWEEN 2018 AND 2025 33
FIGURE 12 AI IN AVIATION MARKET FOR COMPUTER VISION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 33
FIGURE 13 SMART MAINTENANCE TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET BY 2025 34
FIGURE 14 VIRTUAL ASSISTANT TO HOLD THE LARGEST SHARE OF THE AI IN AVIATION MARKET IN NORTH AMERICA IN 2018 35
FIGURE 15 AI IN AVIATION MARKET IN CHINA TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 36
FIGURE 16 AI IN AVIATION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 37
FIGURE 17 SOFTWARE TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET IN 2018 45
FIGURE 18 MACHINE LEARNING FRAMEWORK TO HOLD A LARGER SIZE OF THE AI IN AVIATION MARKET FOR AI PLATFORMS IN 2018 47
FIGURE 19 PROCESSORS TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR HARDWARE IN 2018 49
FIGURE 20 NORTH AMERICA TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR SERVICES IN 2018 53
FIGURE 21 MACHINE LEARNING TO HOLD LARGEST SHARE OF THE
AI IN AVIATION MARKET IN 2018 56
FIGURE 22 SUPERVISED LEARNING TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR MACHINE LEARNING IN 2018 58
FIGURE 23 TEXT ANALYTICS TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR NLP IN 2018 61
FIGURE 24 NORTH AMERICA TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR CONTEXT AWARENESS COMPUTING IN 2018 62
FIGURE 25 AI IN AVIATION MARKET FOR SURVEILLANCE APPLICATIONS TO GROW AT THE HIGHEST RATE BETWEEN 2018 AND 2025 66
FIGURE 26 NORTH AMERICA TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR FLIGHT OPERATIONS IN 2018 70
FIGURE 27 SOFTWARE TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR SURVEILLANCE APPLICATIONS IN 2018 75
FIGURE 28 SOFTWARE TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR VIRTUAL ASSISTANTS IN 2018 77
FIGURE 29 MACHINE LEARNING TO HOLD THE LARGEST SIZE OF THE AI IN AVIATION MARKET FOR DYNAMIC PRICING IN 2018 80
FIGURE 30 AI IN AVIATION MARKET FOR HARDWARE FOR MANUFACTURING APPLICATIONS TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 84
FIGURE 31 AI IN AVIATION MARKET, BY GEOGRAPHY 88
FIGURE 32 NORTH AMERICA TO HOLD THE LARGEST SIZE OF THE AI IN
AVIATION MARKET IN 2018 89
FIGURE 33 SNAPSHOT OF THE AI IN AVIATION MARKET IN NORTH AMERICA 91
FIGURE 34 US HELD THE LARGES5T SHARE OF THE AI IN AVIATION MARKET IN NORTH AMERICA IN 2017 92
FIGURE 35 SNAPSHOT OF THE AI IN AVIATION MARKET IN EUROPE 96
FIGURE 36 SNAPSHOT OF THE AI IN AVIATION MARKET IN APAC 101
FIGURE 37 CHINA TO HOLD THE LARGEST SIZE OF THE AI IN
AVIATION MARKET IN APAC IN 2018 102
FIGURE 38 COMPANIES ADOPTED PRODUCT LAUNCHES AS THEIR KEY GROWTH STRATEGY IN THE PAST THREE YEARS (2015–2017) 109
FIGURE 39 NVIDIA: COMPANY SNAPSHOT 117
FIGURE 40 INTEL: COMPANY SNAPSHOT 121
FIGURE 41 XILINX: COMPANY SNAPSHOT 124
FIGURE 42 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT 127
FIGURE 43 MICRON: COMPANY SNAPSHOT 130
FIGURE 44 IBM: COMPANY SNAPSHOT 134
FIGURE 45 MICROSOFT: COMPANY SNAPSHOT 136
FIGURE 46 AMAZON: COMPANY SNAPSHOT 138
FIGURE 47 AIRBUS: COMPANY SNAPSHOT 140
FIGURE 48 BOEING: COMPANY SNAPSHOT 142
FIGURE 49 GE: COMPANY SNAPSHOT 144
FIGURE 50 THALES: COMPANY SNAPSHOT 146
FIGURE 51 LOCKHEED MARTIN: COMPANY SNAPSHOT 148
FIGURE 52 GARMIN: COMPANY SNAPSHOT 151

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