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市場調查報告書

航空領域人工智能 (AI)的全球市場 - 至2025年的預測:機器學習 、情境感知、自然語言處理 (NLP)、電腦視覺

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

出版商 MarketsandMarkets 商品編碼 604364
出版日期 內容資訊 英文 167 Pages
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航空領域人工智能 (AI)的全球市場 - 至2025年的預測:機器學習 、情境感知、自然語言處理 (NLP)、電腦視覺 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
出版日期: 2018年02月12日 內容資訊: 英文 167 Pages
簡介

航空領域人工智能 (AI) 市場,預計從2018年的1億5240萬美元,到2025年擴大到22億2250萬美元。預計市場2018年∼2025年以46.65%的年複合成長率成長。

本報告提供全球航空領域人工智能 (AI) 市場相關調查分析,市場概要,產業趨勢,各市場區隔的市場分析,競爭情形,主要企業等相關的系統性資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 航空領域人工智能 (AI) 市場的富有魅力的市場機會
  • 航空領域人工智能 (AI) 市場:各提供
  • 航空領域人工智能 (AI) 市場:各技術
  • 航空領域人工智能 (AI) 市場:各用途
  • 北美的航空領域人工智能 (AI) 市場:各用途,各國
  • 航空領域人工智能 (AI) 市場:各國

第5章 市場概要

  • 簡介
  • 市場動態
    • 促進因素
    • 阻礙因素
    • 機會
    • 課題
  • 使用案例

第6章 航空領域人工智能 (AI)的全球市場:各提供

  • 簡介
  • 軟體
  • 硬體設備
  • 服務

第7章 航空領域人工智能 (AI)的全球市場:各技術

  • 簡介
  • 機器學習
  • 自然語言處理 (NLP)
  • 情境感知運算
  • 電腦視覺

第8章 航空領域人工智能 (AI)的全球市場:各用途

  • 簡介
  • 智慧維修
  • 航空業務
  • 訓練
  • 監視
  • 虛擬助手
  • 動態價格設定
  • 製造
  • 其他

第9章 航空領域人工智能 (AI)的全球市場:各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 其他

第10章 競爭情形

  • 概要
  • 市場主要企業
  • 競爭模式

第11章 企業簡介

  • 主要企業
    • NVIDIA
    • INTEL
    • XILINX
    • SAMSUNG ELECTRONICS
    • MICRON
    • IBM
    • MICROSOFT
    • AMAZON
    • AIRBUS
    • BOEING
    • GE
    • THALES
    • LOCKHEED MARTIN
    • GARMIN
  • 其他

第12章 附錄

目錄
Product Code: SE 5989

"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 the 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

  • 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 (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 11.1. KEY PLAYERS
    • 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
  • 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

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

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 (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

  • 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
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