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封面
市场调查报告书
商品编码
1352825

全球人工智慧航空市场研究报告 - 2023 年至 2030 年产业分析、规模、份额、成长、趋势和预测

Global Artificial Intelligence in Aviation Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030
出版日期: | 出版商: Value Market Research | 英文 181 Pages | 商品交期: 最快1-2个工作天内

价格

全球航空市场人工智慧需求预计将从 2022 年的 27.6 亿美元增至 2030 年近 105.41 百万美元，2023-2030 年研究期间复合年增长率为 57.67%。

航空人工智慧结合了多种服务和系统，有助于地面运作的顺利管理，包括空中交通管制和客户服务系统以及许多其他方面。航空公司的人工智慧是指用于收集和分析天气、飞机重量、高度、航线距离等数据的技术。航空人工智慧的典型例子包括飞机燃油管理、自动报到、客户服务、脸部辨识人工智慧透过侦测操作中的任何异常情况或设备的任何故障来帮助改善该领域的服务，以便及时修復。此外，它还有助于减少员工劳动力并确保系统和程序的有效性。这些系统最终有助于飞机起飞和降落、导航和追踪地面障碍物。

市场动态：

航空市场人工智慧的预测分析显示，未来几年的成长率令人满意。大数据在航空航太业中的作用日益重要，是市场成长的主要驱动力之一。其他因素，例如该领域的投资不断增长、基于云端的技术和服务的采用、业务流程优化的需求等，都推动了市场的成长。强调机器学习以提高自动化效能是航空业人工智慧发展的促进因素之一。利用人工智慧改善客户服务可能会创造大量市场成长机会。航班营运维护、监控、物流智慧处理、製造、智慧定价、虚拟支援等都是人工智慧应用的各个方面，将在未来继续创造成长机会。

研究报告涵盖波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清晰地了解行业结构并评估全球范围内的竞争吸引力。此外，这些工具也对全球航空人工智慧市场的各个细分市场进行了包容性评估。航空业人工智慧的成长和趋势为这项研究提供了整体方法。

区域分析：

本节涵盖区域展望，重点介绍北美、欧洲、亚太地区、拉丁美洲以及中东和非洲航空市场人工智慧当前和未来的需求。此外，该报告重点关注所有主要地区各个应用领域的需求、估计和预测。

该研究报告还涵盖了市场主要参与者的全面概况以及对全球竞争格局的深入了解。航空人工智慧市场的主要参与者包括英特尔（美国）、英伟达（美国）、IBM（美国）、美光（美国）、三星（韩国）、赛灵思（美国）、亚马逊（美国）、微软（美国） ）、空中巴士（法国）、波音（美国）、通用电气（美国）、泰雷兹（法国）、洛克希德·马丁（美国）和Garmin（美国）。本节包含竞争格局的整体视图，包括各种策略发展，例如关键併购、未来产能、合作伙伴关係、财务概况、合作、新产品开发、新产品发布和其他发展。

如果您有任何客製化要求，请写信给我们。我们的研究团队可以根据您的需求提供客製化报告。

目录

第一章：前言

  • 报告说明
    • 客观的
    • 目标受众
    • 独特的销售主张 (USP) 和产品
  • 研究范围
  • 研究方法论
    • 市场研究过程
    • 市场研究方法论

第 2 章：执行摘要

  • 市集亮点
  • 全球市场概况

第 3 章：航空业人工智慧 - 产业分析

  • 简介 - 市场动态
  • 市场驱动因素
  • 市场限制
  • 机会
  • 产业动态
  • 波特五力分析
  • 市场吸引力分析
    • 按产品提供的市场吸引力分析
    • 按技术分類的市场吸引力分析
    • 市场吸引力分析：依应用分类
    • 市场吸引力分析：按地区

第 4 章：价值链分析

  • 价值链分析
  • 原料分析
    • 原料清单
    • 原料厂商清单
    • 主要原物料价格走势
  • 潜在买家名单
  • 行销管道
    • 直效行销
    • 间接行销
    • 行销通路发展趋势

第 5 章：COVID-19 爆发的影响分析

第 6 章：全球人工智慧航空市场分析：按产品划分

  • 按产品分类概览
  • 历史和预测数据
  • 按产品分析
  • 硬体
  • 软体
  • 服务

第 7 章：全球人工智慧航空市场分析：按技术分类

  • 依技术概述
  • 历史和预测数据
  • 依技术分析
  • 机器学习
  • 自然语言处理
  • 情境感知计算
  • 电脑视觉

第 8 章：全球人工智慧航空市场销售分析：按应用分类

  • 概述：按应用
  • 历史和预测数据
  • 分析：按应用
  • 虚拟助理
  • 智慧维护
  • 製造业
  • 训练
  • 监视
  • 航班营运
  • 动态定价
  • 其他的

第 9 章：全球人工智慧航空市场销售分析：按地理位置

  • 区域展望销售分析
  • 简介 销售分析
  • 北美销售分析
    • 概述、历史和预测销售分析
    • 北美按细分市场销售分析
    • 北美按国家销售分析
    • 美国销售分析
    • 加拿大销售分析
    • 墨西哥销售分析
  • 欧洲销售分析
    • 概述、历史和预测销售分析
    • 欧洲按细分市场销售分析
    • 欧洲按国家销售分析
    • 英国销售分析
    • 法国销售分析
    • 德国销售分析
    • 义大利销售分析
    • 俄罗斯销售分析
    • 欧洲其他地区销售分析
  • 亚太地区销售分析
    • 概述、历史和预测销售分析
    • 亚太地区按细分市场销售分析
    • 亚太地区国家/地区销售分析
    • 中国销售分析
    • 印度销售分析
    • 日本销售分析
    • 韩国销售分析
    • 澳洲销售分析
    • 亚太地区其他地区销售分析
  • 拉丁美洲销售分析
    • 概述、历史和预测销售分析
    • 拉丁美洲按细分市场销售分析
    • 拉丁美洲按国家销售分析
    • 巴西销售分析
    • 阿根廷销售分析
    • 秘鲁销售分析
    • 智利销售分析
    • 拉丁美洲其他地区销售分析
  • 中东和非洲销售分析
    • 概述、历史和预测销售分析
    • 中东和非洲按细分市场销售分析
    • 中东和非洲国家销售分析
    • 沙乌地阿拉伯销售分析
    • 阿联酋销售分析
    • 以色列销售分析
    • 南非销售分析
    • 中东其他地区和非洲销售分析

第 10 章：航空公司人工智慧的竞争格局

  • 航空市场竞争中的人工智慧
  • 伙伴关係/协作/协议
  • 併购
  • 新产品发布
  • 其他发展

第 11 章：公司简介

  • 十大公司股票分析
  • 市场集中度
  • Intel (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • NVIDIA (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • IBM (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Micron (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Samsung (South Korea)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Xilinx (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Amazon (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Microsoft (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Airbus (France)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Boeing (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • General Electric (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Thales (France)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Lockheed Martin (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展
  • Garmin (US)
    • 公司简介
    • 公司收入
    • 产品
    • 最近的发展

注意 - 在公司概况中，财务详细资讯和近期发展视情况而定，或者如果是私人公司，则可能不包括在内

Product Code: VMR11218989

The global demand for Artificial Intelligence in Aviation Market is presumed to reach the market size of nearly USD 105.41 MN by 2030 from USD 2.76 BN in 2022 with a CAGR of 57.67% under the study period 2023 - 2030.

Artificial Intelligence in Aviation combines several services and systems that help in the smooth management of ground operations, including air traffic control and customer care systems and many other aspects. AI in airlines refers to the techniques used in the collection and analysis of data about weather, aircraft weight, altitude, flight route distance etc. The typical example of AI in aviation includes aircraft fuel management, automated check-in, customer service, facial recognition, etc. AI helps improve services in this sector by detecting any irregularities in the operation or any fault in equipment so that they can be repaired on time. Additionally, it helps in the reduction of employee labor and assures the effectiveness of the system and the procedures. These systems ultimately help when taking off and landing aircraft, navigating, and tracking ground obstacles.

MARKET DYNAMICS:

The predictive analysis of the Artificial Intelligence in Aviation market shows a satisfactory growth rate in the coming years. The increasing importance of the role of big data in the aerospace industry is one of the prime market drivers of growth. Other factors such as the growing investments in this sector, the adoption of cloud-based technologies and services, the demand for business process optimization etc., fuel the market growth. The emphasis on machine learning for automated performance improvement is one of the contributing factors to the development of AI in aviation. The utilization of AI in customer service improvement is likely to create a lot of market opportunities for growth. Flight operations maintenance, surveillance, smart handling of logistics, manufacturing, smart pricing, virtual support etc., are aspects of AI applications that will continue to create opportunities for growth in the future.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in aviation. The growth and trends of artificial intelligence in aviation industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the artificial intelligence in aviation market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Offering

  • Hardware
  • Software
  • Services

By Technology

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

By Application

  • Virtual Assistants
  • Smart Maintenance
  • Manufacturing
  • Training
  • Surveillance
  • Flight Operations
  • Dynamic Pricing
  • Others

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Aviation market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence 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). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1 . PREFACE

  • 1.1. Report Description
    • 1.1.1. Objective
    • 1.1.2. Target Audience
    • 1.1.3. Unique Selling Proposition (USP) & offerings
  • 1.2. Research Scope
  • 1.3. Research Methodology
    • 1.3.1. Market Research Process
    • 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

  • 2.1. Highlights of Market
  • 2.2. Global Market Snapshot

3 . ARTIFICIAL INTELLIGENCE IN AVIATION - INDUSTRY ANALYSIS

  • 3.1. Introduction - Market Dynamics
  • 3.2. Market Drivers
  • 3.3. Market Restraints
  • 3.4. Opportunities
  • 3.5. Industry Trends
  • 3.6. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By Offering
    • 3.7.2 Market Attractiveness Analysis By Technology
    • 3.7.3 Market Attractiveness Analysis By Application
    • 3.7.4 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

  • 4.1. Value Chain Analysis
  • 4.2. Raw Material Analysis
    • 4.2.1. List of Raw Materials
    • 4.2.2. Raw Material Manufactures List
    • 4.2.3. Price Trend of Key Raw Materials
  • 4.3. List of Potential Buyers
  • 4.4. Marketing Channel
    • 4.4.1. Direct Marketing
    • 4.4.2. Indirect Marketing
    • 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY OFFERING

  • 6.1 Overview by Offering
  • 6.2 Historical and Forecast Data
  • 6.3 Analysis by Offering
  • 6.4 Hardware Historic and Forecast Sales by Regions
  • 6.5 Software Historic and Forecast Sales by Regions
  • 6.6 Services Historic and Forecast Sales by Regions

7 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET ANALYSIS BY TECHNOLOGY

  • 7.1 Overview by Technology
  • 7.2 Historical and Forecast Data
  • 7.3 Analysis by Technology
  • 7.4 Machine Learning Historic and Forecast Sales by Regions
  • 7.5 Natural Language Processing Historic and Forecast Sales by Regions
  • 7.6 Context Awareness Computing Historic and Forecast Sales by Regions
  • 7.7 Computer Vision Historic and Forecast Sales by Regions

8 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SALES ANALYSIS BY APPLICATION

  • 8.1 Overview by Application
  • 8.2 Historical and Forecast Data
  • 8.3 Analysis by Application
  • 8.4 Virtual Assistants Historic and Forecast Sales by Regions
  • 8.5 Smart Maintenance Historic and Forecast Sales by Regions
  • 8.6 Manufacturing Historic and Forecast Sales by Regions
  • 8.7 Training Historic and Forecast Sales by Regions
  • 8.8 Surveillance Historic and Forecast Sales by Regions
  • 8.9 Flight Operations Historic and Forecast Sales by Regions
  • 8.10. Dynamic Pricing Historic and Forecast Sales by Regions
  • 8.11 Others Historic and Forecast Sales by Regions

9 . GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SALES ANALYSIS BY GEOGRAPHY

  • 9.1. Regional Outlook Sales Analysis
  • 9.2. Introduction Sales Analysis
  • 9.3. North America Sales Analysis
    • 9.3.1. Overview, Historic and Forecast Sales Analysis
    • 9.3.2. North America By Segment Sales Analysis
    • 9.3.3. North America By Country Sales Analysis
    • 9.3.4. United State Sales Analysis
    • 9.3.5. Canada Sales Analysis
    • 9.3.6. Mexico Sales Analysis
  • 9.4. Europe Sales Analysis
    • 9.4.1. Overview, Historic and Forecast Sales Analysis
    • 9.4.2. Europe by Segment Sales Analysis
    • 9.4.3. Europe by Country Sales Analysis
    • 9.4.4. United Kingdom Sales Analysis
    • 9.4.5. France Sales Analysis
    • 9.4.6. Germany Sales Analysis
    • 9.4.7. Italy Sales Analysis
    • 9.4.8. Russia Sales Analysis
    • 9.4.9. Rest Of Europe Sales Analysis
  • 9.5. Asia Pacific Sales Analysis
    • 9.5.1. Overview, Historic and Forecast Sales Analysis
    • 9.5.2. Asia Pacific by Segment Sales Analysis
    • 9.5.3. Asia Pacific by Country Sales Analysis
    • 9.5.4. China Sales Analysis
    • 9.5.5. India Sales Analysis
    • 9.5.6. Japan Sales Analysis
    • 9.5.7. South Korea Sales Analysis
    • 9.5.8. Australia Sales Analysis
    • 9.5.9. Rest Of Asia Pacific Sales Analysis
  • 9.6. Latin America Sales Analysis
    • 9.6.1. Overview, Historic and Forecast Sales Analysis
    • 9.6.2. Latin America by Segment Sales Analysis
    • 9.6.3. Latin America by Country Sales Analysis
    • 9.6.4. Brazil Sales Analysis
    • 9.6.5. Argentina Sales Analysis
    • 9.6.6. Peru Sales Analysis
    • 9.6.7. Chile Sales Analysis
    • 9.6.8. Rest of Latin America Sales Analysis
  • 9.7. Middle East & Africa Sales Analysis
    • 9.7.1. Overview, Historic and Forecast Sales Analysis
    • 9.7.2. Middle East & Africa by Segment Sales Analysis
    • 9.7.3. Middle East & Africa by Country Sales Analysis
    • 9.7.4. Saudi Arabia Sales Analysis
    • 9.7.5. UAE Sales Analysis
    • 9.7.6. Israel Sales Analysis
    • 9.7.7. South Africa Sales Analysis
    • 9.7.8. Rest Of Middle East And Africa Sales Analysis

10 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN AVIATION COMPANIES

  • 10.1. Artificial Intelligence In Aviation Market Competition
  • 10.2. Partnership/Collaboration/Agreement
  • 10.3. Merger And Acquisitions
  • 10.4. New Product Launch
  • 10.5. Other Developments

11 . COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN AVIATION INDUSTRY

  • 11.1. Top 10 Company Share Analysis
  • 11.2. Market Concentration Rate
  • 11.3. Intel (US)
    • 11.3.1. Company Overview
    • 11.3.2. Company Revenue
    • 11.3.3. Products
    • 11.3.4. Recent Developments
  • 11.4. NVIDIA (US)
    • 11.4.1. Company Overview
    • 11.4.2. Company Revenue
    • 11.4.3. Products
    • 11.4.4. Recent Developments
  • 11.5. IBM (US)
    • 11.5.1. Company Overview
    • 11.5.2. Company Revenue
    • 11.5.3. Products
    • 11.5.4. Recent Developments
  • 11.6. Micron (US)
    • 11.6.1. Company Overview
    • 11.6.2. Company Revenue
    • 11.6.3. Products
    • 11.6.4. Recent Developments
  • 11.7. Samsung (South Korea)
    • 11.7.1. Company Overview
    • 11.7.2. Company Revenue
    • 11.7.3. Products
    • 11.7.4. Recent Developments
  • 11.8. Xilinx (US)
    • 11.8.1. Company Overview
    • 11.8.2. Company Revenue
    • 11.8.3. Products
    • 11.8.4. Recent Developments
  • 11.9. Amazon (US)
    • 11.9.1. Company Overview
    • 11.9.2. Company Revenue
    • 11.9.3. Products
    • 11.9.4. Recent Developments
  • 11.10. Microsoft (US)
    • 11.10.1. Company Overview
    • 11.10.2. Company Revenue
    • 11.10.3. Products
    • 11.10.4. Recent Developments
  • 11.11. Airbus (France)
    • 11.11.1. Company Overview
    • 11.11.2. Company Revenue
    • 11.11.3. Products
    • 11.11.4. Recent Developments
  • 11.12. Boeing (US)
    • 11.12.1. Company Overview
    • 11.12.2. Company Revenue
    • 11.12.3. Products
    • 11.12.4. Recent Developments
  • 11.13. General Electric (US)
    • 11.13.1. Company Overview
    • 11.13.2. Company Revenue
    • 11.13.3. Products
    • 11.13.4. Recent Developments
  • 11.14. Thales (France)
    • 11.14.1. Company Overview
    • 11.14.2. Company Revenue
    • 11.14.3. Products
    • 11.14.4. Recent Developments
  • 11.15. Lockheed Martin (US)
    • 11.15.1. Company Overview
    • 11.15.2. Company Revenue
    • 11.15.3. Products
    • 11.15.4. Recent Developments
  • 11.16. Garmin (US)
    • 11.16.1. Company Overview
    • 11.16.2. Company Revenue
    • 11.16.3. Products
    • 11.16.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies

LIST OF TABLES

  • Market Snapshot
  • Drivers : Impact Analysis
  • Restraints : Impact Analysis
  • List of Raw Material
  • List of Raw Material Manufactures
  • List of Potential Buyers
  • Analysis by Offering (USD MN)
  • Hardware Market Sales by Geography (USD MN)
  • Software Market Sales by Geography (USD MN)
  • Services Market Sales by Geography (USD MN)
  • Analysis Market by Technology (USD MN)
  • Machine Learning Market Sales by Geography (USD MN)
  • Natural Language Processing Market Sales by Geography (USD MN)
  • Context Awareness Computing Market Sales by Geography (USD MN)
  • Computer Vision Market Sales by Geography (USD MN)
  • Analysis by Application (USD MN)
  • Virtual Assistants Market Sales by Geography (USD MN)
  • Smart Maintenance Market Sales by Geography (USD MN)
  • Manufacturing Market Sales by Geography (USD MN)
  • Training Market Sales by Geography (USD MN)
  • Surveillance Market Sales by Geography (USD MN)
  • Flight Operations Market Sales by Geography (USD MN)
  • Dynamic Pricing Market Sales by Geography (USD MN)
  • Others Market Sales by Geography (USD MN)
  • Global Artificial Intelligence In Aviation Market Sales by Geography (USD MN)
  • North America Market Analysis (USD MN)
  • United State Market Analysis (USD MN)
  • Canada Market Analysis (USD MN)
  • Mexico Market Analysis (USD MN)
  • Europe Market Analysis (USD MN)
  • Europe Market Estimate by Country (USD MN)
  • United Kingdom Market Analysis (USD MN)
  • France Market Analysis (USD MN)
  • Germany Market Analysis (USD MN)
  • Italy Market Analysis (USD MN)
  • Russia Market Analysis (USD MN)
  • Spain Market Analysis (USD MN)
  • Rest of Europe Market Analysis (USD MN)
  • Asia Pacific Market Analysis (USD MN)
  • China Market Analysis (USD MN)
  • Japan Market Analysis (USD MN)
  • India Market Analysis (USD MN)
  • South Korea Market Analysis (USD MN)
  • Australia Market Analysis (USD MN)
  • Rest of Asia Pacific Market Analysis (USD MN)
  • Latin America Market Analysis (USD MN)
  • Brazil Market Analysis (USD MN)
  • Argentina Market Analysis (USD MN)
  • Peru Market Analysis (USD MN)
  • Chile Market Analysis (USD MN)
  • Rest of Latin America Market Analysis (USD MN)
  • Middle East & Africa Market Analysis (USD MN)
  • Saudi Arabia Market Analysis (USD MN)
  • UAE Market Analysis (USD MN)
  • Israel Market Analysis (USD MN)
  • South Africa Market Analysis (USD MN)
  • Rest of Middle East and Africa Market Analysis (USD MN)
  • Partnership/Collaboration/Agreement
  • Mergers And Acquisition

LIST OF FIGURES

  • Research Scope of Artificial Intelligence In Aviation Report
  • Market Research Process
  • Market Research Methodology
  • Global Artificial Intelligence In Aviation Market Size, by Region (USD MN)
  • Porters Five Forces Analysis
  • Market Attractiveness Analysis by Offering
  • Market Attractiveness Analysis by Technology
  • Market Attractiveness Analysis by Application
  • Market Attractiveness Analysis by Region
  • Value Chain Analysis
  • Global Market Analysis by Offering (USD MN)
  • Hardware Market Sales by Geography (USD MN)
  • Software Market Sales by Geography (USD MN)
  • Services Market Sales by Geography (USD MN)
  • Global Market Analysis by Technology (USD MN)
  • Machine Learning Market Sales by Geography (USD MN)
  • Natural Language Processing Market Sales by Geography (USD MN)
  • Context Awareness Computing Market Sales by Geography (USD MN)
  • Computer Vision Market Sales by Geography (USD MN)
  • Global Market Analysis by Application (USD MN)
  • Virtual Assistants Market Sales by Geography (USD MN)
  • Smart Maintenance Market Sales by Geography (USD MN)
  • Manufacturing Market Sales by Geography (USD MN)
  • Training Market Sales by Geography (USD MN)
  • Surveillance Market Sales by Geography (USD MN)
  • Flight Operations Market Sales by Geography (USD MN)
  • Dynamic Pricing Market Sales by Geography (USD MN)
  • Others Market Sales by Geography (USD MN)
  • Global Market by Revenue
  • North America Market by Revenue
  • Europe Market by Revenue
  • Asia Pacific Market by Revenue
  • Latin America Market by Revenue
  • Middle East & Africa Market by Revenue
  • Recent Development in Industry
  • Top Company Share Analysis

Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.