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汽車用人工智慧 (AI)的全球市場:各零組件、技術、流程、應用、車輛類型、需求分類、企業、地區的預測、機會 (2026年)

Global Automotive Artificial Intelligence Market By Component, By Technology, By Process, By Application, By Vehicle Type, By Demand Category, By Company, By Region, Forecast & Opportunities, 2026

出版商 TechSci Research 商品編碼 986362
出版日期 內容資訊 英文 113 Pages
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汽車用人工智慧 (AI)的全球市場:各零組件、技術、流程、應用、車輛類型、需求分類、企業、地區的預測、機會 (2026年) Global Automotive Artificial Intelligence Market By Component, By Technology, By Process, By Application, By Vehicle Type, By Demand Category, By Company, By Region, Forecast & Opportunities, 2026
出版日期: 2021年01月01日內容資訊: 英文 113 Pages
簡介

全球汽車用人工智慧 (AI) 市場,預計在預測期間內以穩定的速度成長。全球汽車用人工智慧 (AI) 市場,由於由種OEM先進駕駛輔助系統(ADAS),主動車距控制巡航系統(ACC),盲點警報等的先進汽車解決方案的採用擴大而受到推動。

可是,尤其是新興國家缺乏適當的汽車IT基礎設施,預計妨礙在預測期間內的市場成長。再加上高額的採購成本和運用成本,預計更加抑制今後數年的市場成長。

本報告提供全球汽車用人工智慧 (AI) 市場相關調查,零組件、技術、流程、應用、車輛類型、需求分類、企業、地區為基礎的分析與預測,市場趨勢、競爭情形分析,並提供主要企業簡介等資訊。

目錄

第1章 產品概要

第2章 調查手法

第3章 COVID-19對全球汽車用人工智慧 (AI) 市場的影響

第4章 摘要整理

第5章 客戶的迴響 (VOC)

第6章 全球汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件(硬體設備,軟體,服務)
    • 各技術(深度學習,機器學習,情境感知,電腦視覺,自然語言處理,其他)
    • 各流程(訊號認識,影像識別,資料探勘)
    • 各應用領域(人機介面,半自動駕駛,自動駕駛)
    • 各車輛類型(小客車 v/s商用車)
    • 各需求分類(OEM v/s售後市場)
    • 各企業
    • 各地區
  • 產品市場地圖

第7章 亞太地區的汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件
    • 各技術
    • 各流程
    • 各應用領域
    • 各車輛類型
    • 各需求分類
    • 各國
  • 亞太地區:各國分析
    • 中國
    • 印度
    • 澳洲
    • 日本
    • 韓國

第8章 歐洲的汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件
    • 各技術
    • 各流程
    • 各應用領域
    • 各車輛類型
    • 各需求分類
    • 各國
  • 歐洲:各國分析
    • 法國
    • 德國
    • 英國
    • 義大利
    • 西班牙

第9章 北美的汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件
    • 各技術
    • 各流程
    • 各應用領域
    • 各車輛類型
    • 各需求分類
    • 各國
  • 北美:各國分析
    • 美國
    • 墨西哥
    • 加拿大

第10章 南美的汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件
    • 各技術
    • 各流程
    • 各應用領域
    • 各車輛類型
    • 各需求分類
    • 各國
  • 南美:各國分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第11章 中東、非洲的汽車用人工智慧 (AI) 市場展望

  • 市場規模與預測
    • 以金額為準
  • 市場佔有率與預測
    • 各零件
    • 各技術
    • 各流程
    • 各應用領域
    • 各車輛類型
    • 各需求分類
    • 各國
  • 中東、非洲:各國分析
    • 南非
    • 沙烏地阿拉伯
    • UAE
    • 科威特

第12章 市場動態

  • 促進因素
  • 課題

第13章 市場趨勢

第14章 競爭情形

  • NVIDIA Corporation
  • Alphabet Inc.
  • Intel Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Harman International Industries Inc.
  • Xilinx Inc.
  • Qualcomm Inc.
  • Tesla Inc.
  • Volvo Car Corporation

第15章 策略性建議

第16章 關於本公司&免責聲明

目錄
Product Code: 1331

Title:
Global Automotive Artificial Intelligence Market By Component (Hardware, Software, Service), By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing, Others), By Process (Signal Recognition, Image Recognition, Data Mining), By Application (Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving), By Vehicle Type (Passenger Cars v/s Commercial Vehicles), By Demand Category (OEM v/s Aftermarket), By Company, By Region, Forecast & Opportunities, 2026.

The Global Automotive Artificial Intelligence Market is expected to grow at a steady rate during the forecast period. The Global Automotive Artificial Intelligence Market is driven by the growing adoption of advanced automotive solutions such as advanced driver assistance system (ADAS), adaptive cruise control (ACC), blind sport alert, among others by different OEMs. Additionally, government regulations to improve the safety in vehicles while assuring environmental sustainability is further expected to propel the market. Furthermore, ongoing technological advancements and new product launches by the major OEMs operating in the market is expected to create lucrative opportunities for the market growth through 2026. However, lack of proper automotive IT infrastructure especially in the emerging countries can hamper the market growth during the forecast period. Besides, high procurement and operational costs further restricts the market growth over the next few years.

The Global Automotive Artificial Intelligence Market is segmented based on component, technology, process, application, vehicle type, demand category, company and region. Based on technology, the market can be categorized into deep learning, machine learning, context awareness, computer vision, natural language processing and others. The deep learning segment is expected to register the highest CAGR in the market during the forecast period on account of the increasing popularity and adoption of self-driving cars. Additionally, the major players operating in the market are also investing a lot in the development of self-driving cars. While the computer vision segment is also expected to grow significantly on account of its use in autonomous vehicles for signal recognition, image recognition, driver monitoring, among others. Based on process, the market can be fragmented into signal recognition, image recognition and data mining. The data mining segment is expected to dominate the market owing to the large volumes of data being generated and processed in autonomous and semi-autonomous vehicles. Based on application, the market can be grouped into human-machine interface, semi-autonomous driving and autonomous driving. The human-machine interface segment is expected to dominate the market owing to the growing need for providing enhanced customer experience.

Regionally, the automotive artificial intelligence market has been segmented into various regions including Asia-Pacific, North America, South America, Europe, and Middle East & Africa. Among these regions, Asia Pacific is expected to register the highest growth in the overall automotive artificial intelligence market owing to the growing demand for premium vehicle and increased adoption of AI and AI based services and solutions especially among the autonomous and semi-autonomous vehicles in the region.

The major players operating in the automotive artificial intelligence market are NVIDIA Corporation, Alphabet Inc., Intel Corporation, IBM Corporation, Microsoft Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation and others. Major companies are developing advanced technologies and launching new services in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.

Years considered for this report:

Historical Years: 2016-2019

Base Year: 2020

Estimated Year: 2021

Forecast Period: 2022-2026

Objective of the Study:

  • To analyze and estimate the market size of the Global Automotive Artificial Intelligence Market from 2016 to 2019.
  • To estimate and forecast the market size of the Global Automotive Artificial Intelligence Market from 2020 to 2026 and growth rate until 2026.
  • To classify and forecast the Global Automotive Artificial Intelligence Market based on component, technology, process, application, vehicle type, demand category, company and regional distribution.
  • To identify dominant region or segment in the Global Automotive Artificial Intelligence Market.
  • To identify drivers and challenges for the Global Automotive Artificial Intelligence Market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in the Global Automotive Artificial Intelligence Market.
  • To identify and analyze the profile of leading players operating in the Global Automotive Artificial Intelligence Market.
  • To identify key sustainable strategies adopted by market players in the Global Automotive Artificial Intelligence Market.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.

TechSci Research calculated the market size of the Global Automotive Artificial Intelligence Market by using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

  • Automotive artificial intelligence service provider companies
  • Market research and consulting firms
  • Government bodies such as regulating authorities and policy makers
  • Organizations, forums and alliances related to automotive artificial intelligence

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end-users, etc., besides allowing them in strategizing investments and capitalizing on the market opportunities.

Report Scope:

In this report, the Global Automotive Artificial Intelligence Market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Global Automotive Artificial Intelligence Market, By Component:

Hardware

Software

Service

  • Global Automotive Artificial Intelligence Market, By Technology:

Deep Learning

Machine Learning

Context Awareness

Computer Vision

Natural Language Processing

Others

  • Global Automotive Artificial Intelligence Market, By Process:

Signal Recognition

Image Recognition

Data Mining

  • Global Automotive Artificial Intelligence Market, By Application:

Human-Machine Interface

Semi-Autonomous Driving

Autonomous Driving

  • Global Automotive Artificial Intelligence Market, By Vehicle Type:

Passenger Cars

Commercial Vehicles

  • Global Automotive Artificial Intelligence Market, By Demand Category:

OEM

Aftermarket

  • Global Automotive Artificial Intelligence Market, By Region:

North America

  • United States
  • Canada
  • Mexico

Europe

  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain

Asia-Pacific

  • China
  • Japan
  • India
  • South Korea
  • Australia

Middle East & Africa

  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait

South America

  • Brazil
  • Argentina
  • Colombia

Competitive Landscape:

Company Profiles: Detailed analysis of the major companies present in the Global Automotive Artificial Intelligence Market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

2. Research Methodology

3. Impact of COVID-19 on Global Automotive Artificial Intelligence

4. Executive Summary

5. Voice of Customer

6. Global Automotive Artificial Intelligence Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Hardware, Software, Service)
    • 6.2.2. By Technology (Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing, Others)
    • 6.2.3. By Process (Signal Recognition, Image Recognition, Data Mining)
    • 6.2.4. By Application (Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving)
    • 6.2.5. By Vehicle Type (Passenger Cars v/s Commercial Vehicles)
    • 6.2.6. By Demand Category (OEM v/s Aftermarket)
    • 6.2.7. By Company (2020)
    • 6.2.8. By Region
  • 6.3. Product Market Map

7. Asia-Pacific Automotive Artificial Intelligence Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Technology
    • 7.2.3. By Process
    • 7.2.4. By Application
    • 7.2.5. By Vehicle Type
    • 7.2.6. By Demand Category
    • 7.2.7. By Country
  • 7.3. Asia-Pacific: Country Analysis
    • 7.3.1. China Automotive Artificial Intelligence Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Technology
        • 7.3.1.2.3. By Process
        • 7.3.1.2.4. By Application
        • 7.3.1.2.5. By Vehicle Type
        • 7.3.1.2.6. By Demand Category
    • 7.3.2. India Automotive Artificial Intelligence Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Technology
        • 7.3.2.2.3. By Process
        • 7.3.2.2.4. By Application
        • 7.3.2.2.5. By Vehicle Type
        • 7.3.2.2.6. By Demand Category
    • 7.3.3. Australia Automotive Artificial Intelligence Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Technology
        • 7.3.3.2.3. By Process
        • 7.3.3.2.4. By Application
        • 7.3.3.2.5. By Vehicle Type
        • 7.3.3.2.6. By Demand Category
    • 7.3.4. Japan Automotive Artificial Intelligence Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Component
        • 7.3.4.2.2. By Technology
        • 7.3.4.2.3. By Process
        • 7.3.4.2.4. By Application
        • 7.3.4.2.5. By Vehicle Type
        • 7.3.4.2.6. By Demand Category
    • 7.3.5. South Korea Automotive Artificial Intelligence Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Component
        • 7.3.5.2.2. By Technology
        • 7.3.5.2.3. By Process
        • 7.3.5.2.4. By Application
        • 7.3.5.2.5. By Vehicle Type
        • 7.3.5.2.6. By Demand Category

8. Europe Automotive Artificial Intelligence Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Technology
    • 8.2.3. By Process
    • 8.2.4. By Application
    • 8.2.5. By Vehicle Type
    • 8.2.6. By Demand Category
    • 8.2.7. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. France Automotive Artificial Intelligence Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Technology
        • 8.3.1.2.3. By Process
        • 8.3.1.2.4. By Application
        • 8.3.1.2.5. By Vehicle Type
        • 8.3.1.2.6. By Demand Category
    • 8.3.2. Germany Automotive Artificial Intelligence Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Technology
        • 8.3.2.2.3. By Process
        • 8.3.2.2.4. By Application
        • 8.3.2.2.5. By Vehicle Type
        • 8.3.2.2.6. By Demand Category
    • 8.3.3. United Kingdom Automotive Artificial Intelligence Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Technology
        • 8.3.3.2.3. By Process
        • 8.3.3.2.4. By Application
        • 8.3.3.2.5. By Vehicle Type
        • 8.3.3.2.6. By Demand Category
    • 8.3.4. Italy Automotive Artificial Intelligence Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Technology
        • 8.3.4.2.3. By Process
        • 8.3.4.2.4. By Application
        • 8.3.4.2.5. By Vehicle Type
        • 8.3.4.2.6. By Demand Category
    • 8.3.5. Spain Automotive Artificial Intelligence Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Technology
        • 8.3.5.2.3. By Process
        • 8.3.5.2.4. By Application
        • 8.3.5.2.5. By Vehicle Type
        • 8.3.5.2.6. By Demand Category

9. North America Automotive Artificial Intelligence Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Technology
    • 9.2.3. By Process
    • 9.2.4. By Application
    • 9.2.5. By Vehicle Type
    • 9.2.6. By Demand Category
    • 9.2.7. By Country
  • 9.3. North America: Country Analysis
    • 9.3.1. United States Automotive Artificial Intelligence Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Technology
        • 9.3.1.2.3. By Process
        • 9.3.1.2.4. By Application
        • 9.3.1.2.5. By Vehicle Type
        • 9.3.1.2.6. By Demand Category
    • 9.3.2. Mexico Automotive Artificial Intelligence Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Technology
        • 9.3.2.2.3. By Process
        • 9.3.2.2.4. By Application
        • 9.3.2.2.5. By Vehicle Type
        • 9.3.2.2.6. By Demand Category
    • 9.3.3. Canada Automotive Artificial Intelligence Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Technology
        • 9.3.3.2.3. By Process
        • 9.3.3.2.4. By Application
        • 9.3.3.2.5. By Vehicle Type
        • 9.3.3.2.6. By Demand Category

10. South America Automotive Artificial Intelligence Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Technology
    • 10.2.3. By Process
    • 10.2.4. By Application
    • 10.2.5. By Vehicle Type
    • 10.2.6. By Demand Category
    • 10.2.7. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Automotive Artificial Intelligence Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Technology
        • 10.3.1.2.3. By Process
        • 10.3.1.2.4. By Application
        • 10.3.1.2.5. By Vehicle Type
        • 10.3.1.2.6. By Demand Category
    • 10.3.2. Argentina Automotive Artificial Intelligence Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Technology
        • 10.3.2.2.3. By Process
        • 10.3.2.2.4. By Application
        • 10.3.2.2.5. By Vehicle Type
        • 10.3.2.2.6. By Demand Category
    • 10.3.3. Colombia Automotive Artificial Intelligence Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Technology
        • 10.3.3.2.3. By Process
        • 10.3.3.2.4. By Application
        • 10.3.3.2.5. By Vehicle Type
        • 10.3.3.2.6. By Demand Category

11. Middle East and Africa Automotive Artificial Intelligence Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Technology
    • 11.2.3. By Process
    • 11.2.4. By Application
    • 11.2.5. By Vehicle Type
    • 11.2.6. By Demand Category
    • 11.2.7. By Country
  • 11.3. MEA: Country Analysis
    • 11.3.1. South Africa Automotive Artificial Intelligence Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Technology
        • 11.3.1.2.3. By Process
        • 11.3.1.2.4. By Application
        • 11.3.1.2.5. By Vehicle Type
        • 11.3.1.2.6. By Demand Category
    • 11.3.2. Saudi Arabia Automotive Artificial Intelligence Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Technology
        • 11.3.2.2.3. By Process
        • 11.3.2.2.4. By Application
        • 11.3.2.2.5. By Vehicle Type
        • 11.3.2.2.6. By Demand Category
    • 11.3.3. UAE Automotive Artificial Intelligence Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Technology
        • 11.3.3.2.3. By Process
        • 11.3.3.2.4. By Application
        • 11.3.3.2.5. By Vehicle Type
        • 11.3.3.2.6. By Demand Category
    • 11.3.4. Kuwait Automotive Artificial Intelligence Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Technology
        • 11.3.4.2.3. By Process
        • 11.3.4.2.4. By Application
        • 11.3.4.2.5. By Vehicle Type
        • 11.3.4.2.6. By Demand Category

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Competitive Landscape

  • 14.1. NVIDIA Corporation
  • 14.2. Alphabet Inc.
  • 14.3. Intel Corporation
  • 14.4. IBM Corporation
  • 14.5. Microsoft Corporation
  • 14.6. Harman International Industries Inc.
  • 14.7. Xilinx Inc.
  • 14.8. Qualcomm Inc.
  • 14.9. Tesla Inc.
  • 14.10. Volvo Car Corporation

15. Strategic Recommendations

16. About Us & Disclaimer