封面
市場調查報告書
商品編碼
1352825

全球人工智慧航空市場研究報告 - 2023 年至 2030 年產業分析、規模、佔有率、成長、趨勢和預測

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個工作天內

價格

全球航空市場人工智慧需求預計將從 2022 年的 27.6 億美元增至 2030 年近 105.41 百萬美元,2023-2030 年研究期間複合年成長率為 57.67%。

航空人工智慧結合了多種服務和系統,有助於地面運作的順利管理,包括空中交通管制和客戶服務系統以及許多其他方面。航空公司的人工智慧是指用於收集和分析天氣、飛機重量、高度、航線距離等數據的技術。航空人工智慧的典型例子包括飛機燃油管理、自動報到、客戶服務、臉部辨識人工智慧透過偵測操作中的任何異常情況或設備的任何故障來幫助改善該領域的服務,以便及時修復。此外,它還有助於減少員工勞動力並確保系統和程序的有效性。這些系統最終有助於飛機起飛和降落、導航和追蹤地面障礙物。

市場動態:

航空市場人工智慧的預測分析顯示,未來幾年的成長率令人滿意。巨量資料在航空航太業中的作用日益重要,是市場成長的主要驅動力之一。其他因素,例如該領域的投資不斷成長、基於雲端的技術和服務的採用、業務流程最佳化的需求等,都推動了市場的成長。強調機器學習以提高自動化效能是航空業人工智慧發展的促進因素之一。利用人工智慧改善客戶服務可能會創造大量市場成長機會。航班營運維護、監控、物流智慧處理、製造、智慧定價、虛擬支援等都是人工智慧應用的各個方面,將在未來繼續創造成長機會。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外,這些工具也對全球航空人工智慧市場的各個細分市場進行了包容性評估。航空業人工智慧的成長和趨勢為這項研究提供了整體方法。

區域分析:

本節涵蓋區域展望,重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲航空市場人工智慧當前和未來的需求。此外,該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。航空人工智慧市場的主要參與者包括英特爾(美國)、英偉達(美國)、IBM(美國)、美光(美國)、三星(韓國)、賽靈思(美國)、亞馬遜(美國)、微軟(美國) )、空中巴士(法國)、波音(美國)、通用電氣(美國)、泰雷茲(法國)、洛克希德·馬丁(美國)和Garmin(美國)。本節包含競爭格局的整體視圖,包括各種策略發展,例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求,請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

目錄

第一章:前言

  • 報告說明
    • 客觀的
    • 目標受眾
    • 獨特的銷售主張 (USP) 和產品
  • 研究範圍
  • 研究方法論
    • 市場研究過程
    • 市場研究方法論

第 2 章:執行摘要

  • 市場亮點
  • 全球市場概況

第 3 章:航空業人工智慧 - 產業分析

  • 簡介 - 市場動態
  • 市場促進因素
  • 市場限制
  • 機會
  • 產業動態
  • 波特五力分析
  • 市場吸引力分析
    • 按產品提供的市場吸引力分析
    • 按技術分類的市場吸引力分析
    • 市場吸引力分析:依應用分類
    • 市場吸引力分析:按地區

第 4 章:價值鏈分析

  • 價值鏈分析
  • 原料分析
    • 原料清單
    • 原料廠商清單
    • 主要原物料價格走勢
  • 潛在買家名單
  • 行銷管道
    • 直效行銷
    • 間接行銷
    • 行銷通路發展趨勢

第 5 章:COVID-19 爆發的影響分析

第 6 章:全球人工智慧航空市場分析:按產品分類

  • 按產品分類概覽
  • 歷史和預測數據
  • 按產品分析
  • 硬體
  • 軟體
  • 服務

第 7 章:全球人工智慧航空市場分析:按技術分類

  • 依技術概述
  • 歷史和預測數據
  • 依技術分析
  • 機器學習
  • 自然語言處理
  • 情境感知計算
  • 電腦視覺

第 8 章:全球人工智慧航空市場銷售分析:按應用分類

  • 概述:按應用
  • 歷史和預測數據
  • 分析:按應用
  • 虛擬助理
  • 智慧維護
  • 製造業
  • 訓練
  • 監視
  • 航班營運
  • 動態定價
  • 其他

第 9 章:全球人工智慧航空市場銷售分析:按地理位置

  • 區域展望銷售分析
  • 簡介 銷售分析
  • 北美銷售分析
    • 概述、歷史和預測銷售分析
    • 北美按細分市場銷售分析
    • 北美按國家銷售分析
    • 美國銷售分析
    • 加拿大銷售分析
    • 墨西哥銷售分析
  • 歐洲銷售分析
    • 概述、歷史和預測銷售分析
    • 歐洲按細分市場銷售分析
    • 歐洲按國家銷售分析
    • 英國銷售分析
    • 法國銷售分析
    • 德國銷售分析
    • 義大利銷售分析
    • 俄羅斯銷售分析
    • 歐洲其他地區銷售分析
  • 亞太地區銷售分析
    • 概述、歷史和預測銷售分析
    • 亞太地區按細分市場銷售分析
    • 亞太地區國家/地區銷售分析
    • 中國銷售分析
    • 印度銷售分析
    • 日本銷售分析
    • 韓國銷售分析
    • 澳洲銷售分析
    • 亞太地區其他地區銷售分析
  • 拉丁美洲銷售分析
    • 概述、歷史和預測銷售分析
    • 拉丁美洲按細分市場銷售分析
    • 拉丁美洲按國家銷售分析
    • 巴西銷售分析
    • 阿根廷銷售分析
    • 秘魯銷售分析
    • 智利銷售分析
    • 拉丁美洲其他地區銷售分析
  • 中東和非洲銷售分析
    • 概述、歷史和預測銷售分析
    • 中東和非洲按細分市場銷售分析
    • 中東和非洲國家銷售分析
    • 沙烏地阿拉伯銷售分析
    • 阿拉伯聯合大公國銷售分析
    • 以色列銷售分析
    • 南非銷售分析
    • 中東其他地區和非洲銷售分析

第 10 章:航空公司人工智慧的競爭格局

  • 航空市場競爭中的人工智慧
  • 夥伴關係/協作/協議
  • 併購
  • 新產品發布
  • 其他發展

第 11 章:公司簡介

  • 十大公司股票分析
  • 市場集中度
  • Intel (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • NVIDIA (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • IBM (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Micron (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Samsung (South Korea)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Xilinx (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Amazon (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Microsoft (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Airbus (France)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Boeing (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • General Electric (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Thales (France)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Lockheed Martin (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展
  • Garmin (US)
    • 公司簡介
    • 公司收入
    • 產品
    • 最近的發展

注意 - 在公司概況中,財務詳細資訊和近期發展視情況而定,或者如果是私人公司,則可能不包括在內

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.