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市場調查報告書

航空航天人工智能市場:按產品、按技術、按應用:全球機會分析和行業預測(2021-2028)

Aerospace Artificial Intelligence Market by Offering, Technology, and Application : Global Opportunity Analysis and Industry Forecast, 2021-2028

出版商 Allied Market Research 商品編碼 1017296
出版日期 內容資訊 英文 284 Pages
商品交期: 2-3個工作天內
價格
航空航天人工智能市場:按產品、按技術、按應用:全球機會分析和行業預測(2021-2028) Aerospace Artificial Intelligence Market by Offering, Technology, and Application : Global Opportunity Analysis and Industry Forecast, 2021-2028
出版日期: 2021年05月28日內容資訊: 英文 284 Pages
簡介

機器學習、自然語言處理、計算機視覺和上下文感知計算等人工智能 (AI) 技術可用於飛行操作、更好的客戶服務、飛機和飛機部件的預測性維護. 提高航空航天部門某些活動的效率,例如製造業。

航空航天業正處於採用 AI 的早期階段。航空航天領域的應用正在擴大,預計這些年來會開發出更具破壞性的 AI 模型。人工智能預計將在減少設計過程持續時間、原型製作、製造和成本方面發揮重要作用,預計未來將為航空航天業帶來許多改進。

在預測期內,通過使用人工智能 (AI) 提高燃油效率並增加使用人工智能來確保機場安全預計將推動全球航空航天人工智能市場的增長。然而,在預測期內,嚴格的航空法規和在航空航天中採用人工智能的高成本預計將阻礙航空航天人工智能市場的增長。此外,使用人工智能來確保飛機的運營效率和維護,預計未來將為航空航天人工智能市場提供增長機會。

本報告探討了航空航天人工智能市場,按產品、技術、應用、地區和進入市場的公司概況介紹了市場、趨勢。

目錄

第 1 章介紹

第 2 章執行摘要

第 3 章市場概覽

  • 市場定義和範圍
  • 主要調查結果
    • 主要影響因素
    • 主要投資領域
    • 主要成功策略
  • 波特五力分析
  • 關鍵球員定位,2020
  • 市場動態
    • 促進因素
      • 提高燃油經濟性:通過使用人工智能 (AI)
      • 越來越多地使用人工智能來確保機場安全
    • 抑制因素
      • 嚴格的航空法規和在航空航天領域採用人工智能的高成本
      • 缺乏訓練有素且經驗豐富的員工
    • 市場機會
      • 使用人工智能確保飛機的運營效率和維護
      • 提高客戶滿意度並採用高度可靠的雲
  • COVID-19 影響分析
    • 發展演變
    • 微觀經濟影響分析
      • 消費趨勢
      • 產品趨勢
      • 監管趨勢
    • 宏觀經濟影響分析
      • 國內生產總值
      • 進出口分析
      • 就業指數
    • 對航空航天人工智能產業的影響

第 4 章世界航空航天人工智能市場:通過提供

  • 概述
  • 軟件
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 硬件
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 服務
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區

第 5 章全球航空航天人工智能市場:按技術

  • 概述
  • 機器學習
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 自然語言處理
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 計算機視覺
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 上下文感知計算
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區

第 6 章全球航空航天人工智能市場:按應用

  • 概述
  • 客戶服務
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 智能維護
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 製造
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 培訓
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 飛行操作
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區
  • 其他
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按地區
    • 市場分析:按國家/地區

第 7 章航空航天人工智能市場:按地區

  • 概述
  • 北美
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按產品分類
    • 市場規模和預測:按技術
    • 市場規模和預測:按應用
    • 市場規模和預測:按國家/地區
      • 美國
      • 加拿大
      • 墨西哥
  • 歐洲
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按產品分類
    • 市場規模和預測:按技術
    • 市場規模和預測:按應用
    • 市場規模和預測:按國家/地區
      • 英國
      • 德國
      • 法國
      • 俄羅斯
      • 其他
  • 亞太地區
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按產品分類
    • 市場規模和預測:按技術
    • 市場規模和預測:按應用
    • 市場規模和預測:按國家/地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 其他
  • 拉美亞
    • 主要市場趨勢、增長因素和機遇
    • 市場規模和預測:按產品分類
    • 市場規模和預測:按技術
    • 市場規模和預測:按應用
    • 市場規模和預測:按國家/地區
      • 拉丁美洲
      • 中東
      • 非洲

第 8 章公司簡介

  • Key developments
  • AIRBUS S.A.S.
  • GENERAL ELECTRIC COMPANY
  • INTEL CORPORATION
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • IRIS AUTOMATION INC.
  • MICROSOFT CORPORATION
  • SITA
  • SPARKCOGNITION
  • THALES GROUP
  • THE BOEING COMPANY
目錄
Product Code: A11337

Use of artificial intelligence (AI) technologies such as machine learning, natural language processing, computer vision, and context awareness computing improves efficiency of several activities that fall under the aerospace domain such as flight operations, better customer service, predictive aircraft maintenance, and manufacturing of aircraft components. The aerospace industry is in its initial phase of adoption of AI. The aerospace sector is witnessing increase in number of applications and more disruptive AI models are expected to be developed over years. Artificial intelligence is anticipated to play an important role in minimizing design process duration, prototyping, manufacturing, cutting costs, and is projected to result in numerous enhancements in the aerospace industry in the future.

Increase in fuel efficiency by use of artificial intelligence (AI) and rise in use of AI to ensure safety at airports are expected to drive the global aerospace artificial intelligence market growth during the forecast period. However, stringent airline regulations and high cost of adoption of AI in aerospace is anticipated to hamper growth of the aerospace artificial intelligence market during the forecast period. Moreover, use of AI in ensuring operational efficiency and maintenance of airplanes is expected to offer growth opportunities for the aerospace artificial intelligence market in the future.

The aerospace artificial intelligence market is segmented into offering, technology, application, and region. By offering, it is divided into software, hardware, and services. By technology, it is fragmented into machine learning, natural language processing, computer vision, and context awareness computing. By application, it is classified into customer service, smart maintenance, manufacturing, training, flight operations, and others. By region it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Competitive analysis and profiles of the major aerospace artificial intelligence market players include Airbus S.A.S., General Electric Company, Intel Corporation, International Business Machines Corporation (IBM), Iris Automation Inc., Microsoft Corporation, SITA, Spark Cognition, Thales Groups, and The Boeing Company.

KEY BENEFITS FOR STAKEHOLDERS

  • This study presents analytical depiction of the global aerospace artificial intelligence market analysis along with current trends and future estimations to depict imminent investment pockets.
  • The overall aerospace artificial intelligence market opportunity is determined by understanding profitable trends to gain a stronger foothold.
  • The report presents information related to the key drivers, restraints, and opportunities of the global aerospace artificial intelligence market with a detailed impact analysis.
  • The current aerospace artificial intelligence market is quantitatively analyzed from 2020 to 2028 to benchmark the financial competency.
  • Porter's five forces analysis illustrates the potency of the buyers and suppliers in the industry.

KEY MARKET SEGMENTS

By Offering

  • Software
  • Hardware
  • Services

By Technology

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

By Application

  • Customer Service
  • Smart Maintenance
  • Manufacturing
  • Training
  • Flight Operations
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Mexico
  • Europe
  • Russia
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

KEY PLAYERS

  • Airbus S.A.S.
  • General Electric Company
  • Intel Corporation
  • International Business Machines Corporation (IBM)
  • Iris Automation Inc.
  • Microsoft Corporation
  • SITA
  • Spark Cognition
  • Thales Groups
  • The Boeing Company

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key benefits for stakeholders
  • 1.3.Key market segments
  • 1.4.Research methodology
    • 1.4.1.Primary research
    • 1.4.2.Secondary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.CXO perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top impacting factors
    • 3.2.2.Top investment pockets
    • 3.2.3.Top winning strategies
  • 3.3.Porter's five forces analysis
  • 3.4.Key player positioning, 2020
  • 3.5.Market dynamics
    • 3.5.1.Drivers
      • 3.5.1.1. Increase in fuel efficiency by the use of artificial intelligence (AI)
      • 3.5.1.2. Rising use of AI to ensure safety at airports
    • 3.5.2.Restraints
      • 3.5.2.1. Stringent airline regulations and high cost of adoption of AI in aerospace
      • 3.5.2.2. Lack of trained and experienced staff
    • 3.5.3.Opportunities
      • 3.5.3.1. Use of AI in ensuring operational efficiency and maintenance of airplanes
      • 3.5.3.2. Increasing customer satisfaction and adoption of reliable cloud applications
  • 3.6.COVID-19 impact analysis
    • 3.6.1.Evolution of outbreak
    • 3.6.2.Micro economic impact analysis
      • 3.6.2.1.Consumer trends
      • 3.6.2.2.Offering trends
      • 3.6.2.3.Regulatory trends
    • 3.6.3.Macro-economic impact analysis
      • 3.6.3.1.GDP
      • 3.6.3.2.Import/export analysis
      • 3.6.3.3.Employment index
    • 3.6.4.Impact on the Aerospace Artificial Intelligence industry

CHAPTER 4:GLOBAL AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING

  • 4.1.Overview
  • 4.2.Software
    • 4.2.1.Key market trends, growth factors, and opportunities
    • 4.2.2.Market size and forecast, by region
    • 4.2.3.Market analysis, by country
  • 4.3.Hardware
    • 4.3.1.Key market trends, growth factors, and opportunities
    • 4.3.2.Market size and forecast, by region
    • 4.3.3.Market analysis, by country
  • 4.4.Services
    • 4.4.1.Key market trends, growth factors, and opportunities
    • 4.4.2.Market size and forecast, by region
    • 4.4.3.Market analysis, by country

CHAPTER 5:GLOBAL AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY

  • 5.1.Overview
  • 5.2.Machine Learning
    • 5.2.1.Key market trends, growth factors, and opportunities
    • 5.2.2.Market size and forecast, by region
    • 5.2.3.Market analysis, by country
  • 5.3.Natural Language Processing
    • 5.3.1.Key market trends, growth factors, and opportunities
    • 5.3.2.Market size and forecast, by region
    • 5.3.3.Market analysis, by country
  • 5.4.Computer Vision
    • 5.4.1.Key market trends, growth factors, and opportunities
    • 5.4.2.Market size and forecast, by region
    • 5.4.3.Market analysis, by country
  • 5.5.Context Awareness Computing
    • 5.5.1.Key market trends, growth factors, and opportunities
    • 5.5.2.Market size and forecast, by region
    • 5.5.3.Market analysis, by country

CHAPTER 6:GLOBAL AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION

  • 6.1.Overview
  • 6.2.Customer Service
    • 6.2.1.Key market trends, growth factors, and opportunities
    • 6.2.2.Market size and forecast, by region
    • 6.2.3.Market analysis, by country
  • 6.3.Smart Maintenance
    • 6.3.1.Key market trends, growth factors, and opportunities
    • 6.3.2.Market size and forecast, by region
    • 6.3.3.Market analysis, by country
  • 6.4.Manufacturing
    • 6.4.1.Key market trends, growth factors, and opportunities
    • 6.4.2.Market size and forecast, by region
    • 6.4.3.Market analysis, by country
  • 6.5.Training
    • 6.5.1.Key market trends, growth factors, and opportunities
    • 6.5.2.Market size and forecast, by region
    • 6.5.3.Market analysis, by country
  • 6.6.Flight Operations
    • 6.6.1.Key market trends, growth factors, and opportunities
    • 6.6.2.Market size and forecast, by region
    • 6.6.3.Market analysis, by country
  • 6.7.Others
    • 6.7.1.Key market trends, growth factors, and opportunities
    • 6.7.2.Market size and forecast, by region
    • 6.7.3.Market analysis, by country

CHAPTER 7:AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY REGION

  • 7.1.Overview
  • 7.2.North America
    • 7.2.1.Key market trends, growth factors, and opportunities
    • 7.2.2.Market size and forecast, by Offering
    • 7.2.3.Market size and forecast, by Technology
    • 7.2.4.Market size and forecast, by Application
    • 7.2.5.Market size and forecast, by country
      • 7.2.5.1.U.S.
      • 7.2.5.1.1.Market size and forecast, by Offering
      • 7.2.5.1.2.Market size and forecast, by Technology
      • 7.2.5.1.3.Market size and forecast, by Application
      • 7.2.5.2.Canada
      • 7.2.5.2.1.Market size and forecast, by Offering
      • 7.2.5.2.2.Market size and forecast, by Technology
      • 7.2.5.2.3.Market size and forecast, by Application
      • 7.2.5.3.Mexico
      • 7.2.5.3.1.Market size and forecast, by Offering
      • 7.2.5.3.2.Market size and forecast, by Technology
      • 7.2.5.3.3.Market size and forecast, by Application
  • 7.3.Europe
    • 7.3.1.Key market trends, growth factors, and opportunities
    • 7.3.2.Market size and forecast, by Offering
    • 7.3.3.Market size and forecast, by Technology
    • 7.3.4.Market size and forecast, by Application
    • 7.3.5.Market size and forecast, by country
      • 7.3.5.1.UK
      • 7.3.5.1.1.Market size and forecast, by Offering
      • 7.3.5.1.2.Market size and forecast, by Technology
      • 7.3.5.1.3.Market size and forecast, by Application
      • 7.3.5.2.Germany
      • 7.3.5.2.1.Market size and forecast, by Offering
      • 7.3.5.2.2.Market size and forecast, by Technology
      • 7.3.5.2.3.Market size and forecast, by Application
      • 7.3.5.3.France
      • 7.3.5.3.1.Market size and forecast, by Offering
      • 7.3.5.3.2.Market size and forecast, by Technology
      • 7.3.5.3.3.Market size and forecast, by Application
      • 7.3.5.4.Russia
      • 7.3.5.4.1.Market size and forecast, by Offering
      • 7.3.5.4.2.Market size and forecast, by Technology
      • 7.3.5.4.3.Market size and forecast, by Application
      • 7.3.5.5.Rest of Europe
      • 7.3.5.5.1.Market size and forecast, by Offering
      • 7.3.5.5.2.Market size and forecast, by Technology
      • 7.3.5.5.3.Market size and forecast, by Application
  • 7.4.Asia-Pacific
    • 7.4.1.Key market trends, growth factors, and opportunities
    • 7.4.2.Market size and forecast, by Offering
    • 7.4.3.Market size and forecast, by Technology
    • 7.4.4.Market size and forecast, by Application
    • 7.4.5.Market size and forecast, by country
      • 7.4.5.1.China
      • 7.4.5.1.1.Market size and forecast, by Offering
      • 7.4.5.1.2.Market size and forecast, by Technology
      • 7.4.5.1.3.Market size and forecast, by Application
      • 7.4.5.2.Japan
      • 7.4.5.2.1.Market size and forecast, by Offering
      • 7.4.5.2.2.Market size and forecast, by Technology
      • 7.4.5.2.3.Market size and forecast, by Application
      • 7.4.5.3.India
      • 7.4.5.3.1.Market size and forecast, by Offering
      • 7.4.5.3.2.Market size and forecast, by Technology
      • 7.4.5.3.3.Market size and forecast, by Application
      • 7.4.5.4.South Korea
      • 7.4.5.4.1.Market size and forecast, by Offering
      • 7.4.5.4.2.Market size and forecast, by Technology
      • 7.4.5.4.3.Market size and forecast, by Application
      • 7.4.5.5.Rest of Asia-Pacific
      • 7.4.5.5.1.Market size and forecast, by Offering
      • 7.4.5.5.2.Market size and forecast, by Technology
      • 7.4.5.5.3.Market size and forecast, by Application
  • 7.5.LAMEA
    • 7.5.1.Key market trends, growth factors, and opportunities
    • 7.5.2.Market size and forecast, by Offering
    • 7.5.3.Market size and forecast, by Technology
    • 7.5.4.Market size and forecast, by Application
    • 7.5.5.Market size and forecast, by country
      • 7.5.5.1.Latin America
      • 7.5.5.1.1.Market size and forecast, by Offering
      • 7.5.5.1.2.Market size and forecast, by Technology
      • 7.5.5.1.3.Market size and forecast, by Application
      • 7.5.5.2.Middle East
      • 7.5.5.2.1.Market size and forecast, by Offering
      • 7.5.5.2.2.Market size and forecast, by Technology
      • 7.5.5.2.3.Market size and forecast, by Application
      • 7.5.5.3.Africa
      • 7.5.5.3.1.Market size and forecast, by Offering
      • 7.5.5.3.2.Market size and forecast, by Technology
      • 7.5.5.3.3.Market size and forecast, by Application

CHAPTER 8:COMPANY PROFILES

  • 8.1.Key developments
    • 8.1.1.Collaboration
    • 8.1.2.Partnership
    • 8.1.3.Product development
    • 8.1.4.Product launch
  • 8.2.AIRBUS S.A.S.
    • 8.2.1.Company overview
    • 8.2.2.Key executives
    • 8.2.3.Company snapshot
    • 8.2.4.Operating business segments
    • 8.2.5.Product portfolio
    • 8.2.6.R&D expenditure
    • 8.2.7.Business performance
    • 8.2.8.Key strategic moves and developments
  • 8.3.GENERAL ELECTRIC COMPANY
    • 8.3.1.Company overview
    • 8.3.2.Key executives
    • 8.3.3.Company snapshot
    • 8.3.4.Operating business segments
    • 8.3.5.Product portfolio
    • 8.3.6.R&D expenditure
    • 8.3.7.Business performance
    • 8.3.8.Key strategic moves and developments
  • 8.4.INTEL CORPORATION
    • 8.4.1.Company overview
    • 8.4.2.Key executives
    • 8.4.3.Company snapshot
    • 8.4.4.Operating business segments
    • 8.4.5.Product portfolio
    • 8.4.6.R&D expenditure
    • 8.4.7.Business performance
  • 8.5.INTERNATIONAL BUSINESS MACHINES CORPORATION
    • 8.5.1.Company overview
    • 8.5.2.Key executives
    • 8.5.3.Company snapshot
    • 8.5.4.Operating business segments
    • 8.5.5.Product portfolio
    • 8.5.6.R&D expenditure
    • 8.5.7.Business performance
    • 8.5.8.Key strategic moves and developments
  • 8.6.IRIS AUTOMATION INC.
    • 8.6.1.Company overview
    • 8.6.2.Key executives
    • 8.6.3.Company snapshot
    • 8.6.4.Product portfolio
    • 8.6.5.Key strategic moves and developments
  • 8.7.MICROSOFT CORPORATION
    • 8.7.1.Company overview
    • 8.7.2.Key executives
    • 8.7.3.Company snapshot
    • 8.7.4.Operating business segments
    • 8.7.5.Product portfolio
    • 8.7.6.R&D expenditure
    • 8.7.7.Business performance
    • 8.7.8.Key strategic moves and developments
  • 8.8.SITA
    • 8.8.1.Company overview
    • 8.8.2.Key executives
    • 8.8.3.Company snapshot
    • 8.8.4.Product portfolio
    • 8.8.5.Key strategic moves and developments
  • 8.9.SPARKCOGNITION
    • 8.9.1.Company overview
    • 8.9.2.Key executives
    • 8.9.3.Company snapshot
    • 8.9.4.Product portfolio
    • 8.9.5.Key strategic moves and developments
  • 8.10.THALES GROUP
    • 8.10.1.Company overview
    • 8.10.2.Key executives
    • 8.10.3.Company snapshot
    • 8.10.4.Operating business segments
    • 8.10.5.Product portfolio
    • 8.10.6.R&D expenditure
    • 8.10.7.Business performance
    • 8.10.8.Key strategic moves and developments
  • 8.11.THE BOEING COMPANY
    • 8.11.1.Company overview
    • 8.11.2.Key executives
    • 8.11.3.Company snapshot
    • 8.11.4.Operating business segments
    • 8.11.5.Product portfolio
    • 8.11.6.R&D expenditure
    • 8.11.7.Business performance
    • 8.11.8.Key strategic moves and developments

LIST OF TABLES

  • TABLE 01.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 02.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY REGION 2020-2028 ($MILLION)
  • TABLE 03.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY REGION 2020-2028 ($MILLION)
  • TABLE 04.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY REGION 2020-2028 ($MILLION)
  • TABLE 05.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 06.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY REGION 2020-2028 ($MILLION)
  • TABLE 07.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION 2020-2028 ($MILLION)
  • TABLE 08.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY REGION 2020-2028 ($MILLION)
  • TABLE 09.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT AWARENESS COMPUTING, BY REGION 2020-2028 ($MILLION)
  • TABLE 10.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 11.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR CUSTOMER SERVICE, BY REGION 2020-2028 ($MILLION)
  • TABLE 12.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SMART MAINTENANCE, BY REGION 2020-2028 ($MILLION)
  • TABLE 13.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY REGION 2020-2028 ($MILLION)
  • TABLE 14.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR TRAINING, BY REGION 2020-2028 ($MILLION)
  • TABLE 15.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR FLIGHT OPERATIONS, BY REGION 2020-2028 ($MILLION)
  • TABLE 16.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY REGION 2020-2028 ($MILLION)
  • TABLE 17.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY REGION 2020-2028 ($MILLION)
  • TABLE 18.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 19.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 20.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 21.U.S. AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 22.U.S. AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 23.U.S. AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 24.CANADA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 25.CANADA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 26.CANADA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 27.MEXICO AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 28.MEXICO AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 29.MEXICO AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 30.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 31.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 32.NORTH AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 33.UK AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 34.UK AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 35.UK AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 36.GERMANY AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 37.GERMANY AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 38.GERMANY AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 39.FRANCE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 40.FRANCE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 41.FRANCE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 42.RUSSIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 43.RUSSIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 44.RUSSIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 45.REST OF EUROPE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 46.REST OF EUROPE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 47.REST OF EUROPE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 48.ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 49.ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 50.ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 51.CHINA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 52.CHINA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 53.CHINA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 54.JAPAN AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 55.JAPAN AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 56.JAPAN AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 57.INDIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 58.INDIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 59.INDIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 60.SOUTH KOREA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 61.SOUTH KOREA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 62.SOUTH KOREA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 63.REST OF ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 64.REST OF ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 65.REST OF ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 66.LAMEA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 67.LAMEA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 68.LAMEA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 69.LATIN AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 70.LATIN AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 71.LATIN AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 72.MIDDLE EAST AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 73.MIDDLE EAST AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 74.MIDDLE EAST AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 75.AFRICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020-2028 ($MILLION)
  • TABLE 76.AFRICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2028 ($MILLION)
  • TABLE 77.AFRICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2028 ($MILLION)
  • TABLE 78.AIRBUS S.A.S.: KEY EXECUTIVES
  • TABLE 79.AIRBUS S.A.S.: COMPANY SNAPSHOT
  • TABLE 80.AIRBUS S.A.S.: OPERATING SEGMENTS
  • TABLE 81.AIRBUS S.A.S.: PRODUCT PORTFOLIO
  • TABLE 82.AIRBUS S.A.S.: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 83.AIRBUS S.A.S.: NET SALES, 2018-2020 ($MILLION)
  • TABLE 84.GENERAL ELECTRIC COMPANY: KEY EXECUTIVES
  • TABLE 85.GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT
  • TABLE 86.GENERAL ELECTRIC COMPANY: OPERATING SEGMENTS
  • TABLE 87.GENERAL ELECTRIC COMPANY: PRODUCT PORTFOLIO
  • TABLE 88.GENERAL ELECTRIC COMPANY: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 89.GENERAL ELECTRIC COMPANY: NET SALES, 2018-2020 ($MILLION)
  • TABLE 90.INTEL CORPORATION: KEY EXECUTIVES
  • TABLE 91.INTEL CORPORATION: COMPANY SNAPSHOT
  • TABLE 92.INTEL CORPORATION: OPERATING SEGMENTS
  • TABLE 93.INTEL CORPORATION: PRODUCT PORTFOLIO
  • TABLE 94.INTEL CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 95.INTEL CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • TABLE 96.INTERNATIONAL BUSINESS MACHINE CORPORATION: KEY EXECUTIVES
  • TABLE 97.INTERNATIONAL BUSINESS MACHINE CORPORATION: COMPANY SNAPSHOT
  • TABLE 98.INTERNATIONAL BUSINESS MACHINE CORPORATION: OPERATING SEGMENTS
  • TABLE 99.INTERNATIONAL BUSINESS MACHINE CORPORATION: PRODUCT PORTFOLIO
  • TABLE 100.INTERNATIONAL BUSINESS MACHINE CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 101.INTERNATIONAL BUSINESS MACHINE CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • TABLE 102.IRIS AUTOMATION INC.: KEY EXECUTIVES
  • TABLE 103.IRIS AUTOMATION INC.: COMPANY SNAPSHOT
  • TABLE 104.IRIS AUTOMATION INC.: PRODUCT PORTFOLIO
  • TABLE 105.MICROSOFT CORPORATION: KEY EXECUTIVES
  • TABLE 106.MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 107.MICROSOFT CORPORATION: OPERATING SEGMENTS
  • TABLE 108.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 109.MICROSOFT CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 110.MICROSOFT CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • TABLE 111.SITA: KEY EXECUTIVES
  • TABLE 112.SITA: COMPANY SNAPSHOT
  • TABLE 113.SITA: PRODUCT PORTFOLIO
  • TABLE 114.SPARKCOGNITION: KEY EXECUTIVES
  • TABLE 115.SPARKCOGNITION: COMPANY SNAPSHOT
  • TABLE 116.SPARKCOGNITION: PRODUCT PORTFOLIO
  • TABLE 117.THALES GROUP: KEY EXECUTIVES
  • TABLE 118.THALES GROUP: COMPANY SNAPSHOT
  • TABLE 119.THALES GROUP: OPERATING SEGMENTS
  • TABLE 120.THALES GROUP: PRODUCT PORTFOLIO
  • TABLE 121.THALES GROUP: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 122.THALES GROUP: NET SALES, 2018-2020 ($MILLION)
  • TABLE 123.THE BOEING COMPANY: KEY EXECUTIVES
  • TABLE 124.THE BOEING COMPANY: COMPANY SNAPSHOT
  • TABLE 125.THE BOEING COMPANY: OPERATING SEGMENTS
  • TABLE 126.THE BOEING COMPANY: PRODUCT PORTFOLIO
  • TABLE 127.THE BOEING COMPANY: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • TABLE 128.THE BOEING COMPANY: NET SALES, 2018-2020 ($MILLION)

LIST OF FIGURES

  • FIGURE 01.KEY MARKET SEGMENTS
  • FIGURE 02.EXECUTIVE SUMMARY
  • FIGURE 03.EXECUTIVE SUMMARY
  • FIGURE 04.TOP IMPACTING FACTORS
  • FIGURE 05.TOP INVESTMENT POCKETS
  • FIGURE 06.TOP WINNING STRATEGIES, BY YEAR, 2018-2020
  • FIGURE 07.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2018-2020
  • FIGURE 08.TOP WINNING STRATEGIES, BY COMPANY, 2018-2020
  • FIGURE 09.LOW-TO-HIGH BARGAINING POWER OF SUPPLIERS
  • FIGURE 10.LOW-TO-MODERATE THREAT OF NEW ENTRANTS
  • FIGURE 11.LOW-TO-MODERATE THREAT OF SUBSTITUTES
  • FIGURE 12.LOW-TO-HIGH INTENSITY OF RIVALRY
  • FIGURE 13.LOW-TO-HIGH BARGAINING POWER OF BUYERS
  • FIGURE 14.KEY PLAYER POSITIONING (2020)
  • FIGURE 15.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET SHARE, BY OFFERING, 2020-2028 (%)
  • FIGURE 16.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SOFTWARE, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR HARDWARE, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 18.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SERVICES, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 19.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET SHARE, BY TECHNOLOGY, 2020-2028 (%)
  • FIGURE 20.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR MACHINE LEARNING, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 21.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 22.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR COMPUTER VISION, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR CONTEXT AWARENESS COMPUTING, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 24.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET SHARE, BY APPLICATION, 2020-2028 (%)
  • FIGURE 25.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR CUSTOMER SERVICE, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 26.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR SMART MAINTENANCE, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 27.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR MANUFACTURING, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 28.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR TRAINING, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 29.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR FLIGHT OPERATIONS, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 30.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET FOR OTHERS, BY COUNTRY, 2020 & 2028 (%)
  • FIGURE 31.AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020-2028 (%)
  • FIGURE 32.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2020-2028 (%)
  • FIGURE 33.U.S. AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 34.CANADA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 35.MEXICO AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 36.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2020-2028 (%)
  • FIGURE 37.UK AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 38.GERMANY AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 39.FRANCE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 40.RUSSIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 41.REST OF EUROPE AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 42.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2020-2028 (%)
  • FIGURE 43.CHINA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 44.JAPAN AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 45.INDIA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 46.SOUTH KOREA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 47.REST OF ASIA-PACIFIC AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 48.COMPARATIVE SHARE ANALYSIS OF AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2020-2028 (%)
  • FIGURE 49.LATIN AMERICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 50.MIDDLE EAST AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 51.AFRICA AEROSPACE ARTIFICIAL INTELLIGENCE MARKET, 2020-2028 ($MILLION)
  • FIGURE 52.AIRBUS S.A.S.: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 53.AIRBUS S.A.S.: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 54.AIRBUS S.A.S.: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 55.AIRBUS S.A.S.: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 56.GENERAL ELECTRIC COMPANY: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 57.GENERAL ELECTRIC COMPANY: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 58.GENERAL ELECTRIC COMPANY: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 59.GENERAL ELECTRIC COMPANY: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 60.INTEL CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 61.INTEL CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 62.INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 63.INTEL CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 64.INTERNATIONAL BUSINESS MACHINE CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 65.INTERNATIONAL BUSINESS MACHINE CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 66.INTERNATIONAL BUSINESS MACHINE CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 67.INTERNATIONAL BUSINESS MACHINE CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 68.MICROSOFT CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 69.MICROSOFT CORPORATION: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 70.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 71.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 72.THALES GROUP: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 73.THALES GROUP: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 74.THALES GROUP: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 75.THALES GROUP: REVENUE SHARE BY REGION, 2020 (%)
  • FIGURE 76.THE BOEING COMPANY: R&D EXPENDITURE, 2018-2020 ($MILLION)
  • FIGURE 77.BOEING: NET SALES, 2018-2020 ($MILLION)
  • FIGURE 78.THE BOEING COMPANY: REVENUE SHARE BY SEGMENT, 2020 (%)
  • FIGURE 79.THE BOEING COMPANY: REVENUE SHARE BY REGION, 2020 (%)