자동차 인공지능(AI) 시장 : 세계 산업 분석, 규모, 점유율, 성장, 동향 및 예측(2024-2034년)

Artificial Intelligence (AI) Market in Automotive (Vehicle Type: Passenger Cars, Light Commercial Vehicles, Heavy Duty Trucks, Buses and Coaches, and Off-road Vehicles) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2034

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한글목차

자동차 인공지능(AI) 시장 - 조사 범위

TMR의 자동차 인공지능(AI) 세계 시장 조사 보고서는 2024년부터 2034년까지의 예측 기간 동안 시장 지표에 대한 귀중한 통찰력을 얻기 위해 과거뿐만 아니라 현재의 성장 동향과 기회를 조사했습니다. 이 보고서는 2024년을 기준 연도, 2034년을 예측 연도로 하여 2018년부터 2034년까지 세계 자동차 인공지능(AI) 시장의 수익과 예측을 제공합니다. 또한 2024년부터 2034년까지 세계 자동차 인공지능(AI) 시장의 연평균 성장률(CAGR%)을 제시합니다.

이 보고서는 1차적으로 KOL(Key Opinion Leader), 업계 리더, 오피니언 제조업체를 인터뷰하고, 2차적으로 주요 기업의 제품 자료, 연례 보고서, 보도 자료, 관련 문서 등을 참고하여 자동차 인공지능(AI) 시장을 파악하기 위해 광범위한 조사를 통해 작성되었습니다.(AI) 시장을 파악했습니다.

시장 현황
2023년 시장 규모	25억 달러
2034년 시장 가치	130억 달러
CAGR	15.6%

이 보고서는 세계 자동차 인공지능(AI) 시장 경쟁 구도를 심층적으로 분석합니다. 세계 자동차 인공지능(AI) 시장에서 활동하는 주요 업체를 파악하고, 각 업체는 다양한 속성별로 프로파일을 작성했습니다. 기업 개요, 재무 상태, 최근 동향, SWOT는 이 보고서에서 다루는 세계 자동차 인공지능(AI) 시장 기업의 속성입니다.

자동차 인공지능(AI) 시장 - 조사 목적 및 조사 접근 방식

세계 자동차 인공지능(AI) 시장에 대한 종합적인 보고서는 개요로 시작하여 조사 범위와 목적을 설명합니다. 이 보고서에서는 이 연구의 목적, 시장에서 활동하는 주요 벤더와 유통업체, 제품 승인과 관련된 규제 시나리오에 대해 자세히 설명합니다.

본 보고서는 가독성을 고려하여 각 섹션을 장별로 나누어 레이아웃을 구성하였습니다. 본 보고서는 다양한 그래프와 표를 적절히 배치하여 종합적인 자료로 구성되어 있습니다. 주요 부문의 실적과 예측치를 도식화하여 독자들에게 시각적으로 호소력을 발휘합니다. 또한, 과거와 예측 기간 말의 주요 부문별 시장 점유율을 비교할 수 있습니다.

이 보고서는 제품, 최종 사용자 및 지역별 관점에서 세계 자동차 인공지능(AI) 시장을 분석합니다. 각 기준의 주요 부문을 자세히 조사하고 2034년 말 기준 각 부문 시장 점유율을 제시합니다. 이러한 귀중한 통찰력을 통해 시장 이해관계자들은 세계 자동차 인공지능(AI) 시장 투자에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있을 것으로 기대됩니다.

목차

제1장 주요 요약

제2장 시장 개요

• 시장의 정의/범위/한계
• TMR 분석과 제안
• 시장 역학
• 시장 요인 분석
• 규제 시나리오
• 주요 동향 분석
• 밸류체인 분석
• 비용 구조 분석
• 이익률 분석

제3장 자동차 인공지능(AI) 시장 : 차종별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020년-2034년 : 차종별
  • 승용차
    • 해치백
    • 세단
    • SUV
  • 소형 상용차
  • 대형 트럭
  • 버스 및 코치
  • 오프로드 차량
    • 농업기계
    • 산업기계
    • 건설 및 광산기계

제4장 자동차 인공지능(AI) 시장 : 기술 유형별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020년-2034년 : 기술 유형별
  • 머신러닝
  • 딥러닝
  • 강화 학습
  • 자연언어처리(NLP)
  • 컴퓨터 비전
  • 음성인식
  • 기타

제5장 자동차 인공지능(AI) 시장 : 컴포넌트 유형별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020년-2034년 : 컴포넌트 유형별
  • 하드웨어
    • 센서
    • 프로세서
    • 그래픽 처리 장치
    • 기타
  • 소프트웨어
  • 서비스

제6장 자동차 인공지능(AI) 시장 : 자율성 레벨별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020-2034년 : 레벨 자율성 별
  • 레벨 1 : 운전자 지원
  • 레벨 2 : 부분 자동화
  • 레벨 3 : 조건부 자동화
  • 레벨 4 : 첨단 자동화
  • 레벨 5 : 완전 자동화

제7장 자동차 인공지능(AI) 시장 : 용도별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020-2034년 : 용도별
  • 자율주행
  • 예지보전
  • 운전자 보조 시스템
  • 차량내 퍼스널 어시스턴트
  • 음성인식을 위한 자연언어처리(NLP)
  • 물체 탐지 및 인식을 위한 컴퓨터 비전
  • 인포테인먼트·= 시스템용 가상 비서
  • AI 기반 내비게이션 시스템
  • V2X 통신
  • 기타

제8장 자동차 인공지능(AI) 시장 : 최종사용자별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020년-2034년 : 최종사용자별
  • OEM
  • 플릿 사업자
  • 모빌리티 서비스 제공업체
  • 기타

제9장 자동차 인공지능(AI) 시장 : 지역별

• 시장 현황
  • 서론, 정의, 주요 조사 결과
  • 시장 성장과 전년대비 예측
  • BPS(Basis Point Share) 분석
• 자동차 인공지능(AI) 시장 규모 예측 : 2020년-2034년 : 지역별
  • 북미
  • 유럽
  • 아시아태평양
  • 중동 및 아프리카
  • 남미

제10장 북미의 자동차 인공지능(AI) 시장

제11장 유럽의 자동차 인공지능(AI) 시장

제12장 아시아태평양의 자동차 인공지능(AI) 시장

제13장 중동 및 아프리카의 자동차 인공지능(AI) 시장

제14장 남미의 자동차 인공지능(AI) 시장

제15장 경쟁 구도

• 기업 점유율 분석/브랜드 점유율 분석, 2023년
• 각 기업 분석
• 기업 개요/주요 기업 개요
  • Waymo
  • Tesla, Inc.
  • NVIDIA Corporation
  • Intel Corporation
  • Bosch Group
  • Mobileye
  • Aptiv PLC
  • Daimler AG
  • Ford Motor Company
  • General Motors Company
  • Toyota Motor Corporation
  • BMW Group
  • Audi AG
  • Continental AG
  • Uber Technologies, Inc.
  • Volvo Cars
  • ZF Friedrichshafen AG
  • Valeo SA
  • Hyundai Motor Company
  • Baidu, Inc.

LSH

영문 목차

영문목차

Artificial Intelligence (AI) Market in Automotive - Scope of Report

TMR's report on the global artificial intelligence (AI) market in automotive studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2024 to 2034. The report provides revenue of the global artificial intelligence (AI) market in automotive for the period 2018-2034, considering 2024 as the base year and 2034 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global artificial intelligence (AI) market in automotive from 2024 to 2034.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players' product literature, annual reports, press releases, and relevant documents to understand the artificial intelligence (AI) market in automotive.

Market Snapshot
Market Value in 2023	US$ 2.5 Bn
Market Value in 2034	US$ 13 Bn
CAGR	15.6%

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global artificial intelligence (AI) market in automotive.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global artificial intelligence (AI) market in automotive. These serve as valuable tools for existing market players as well as for entities interested in participating in the global artificial intelligence (AI) market in automotive.

The report delves into the competitive landscape of the global artificial intelligence (AI) market in automotive. Key players operating in the global artificial intelligence (AI) market in automotive have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global artificial intelligence (AI) market in automotive profiled in this report.

Key Questions Answered in Global artificial intelligence (AI) market in automotive Report:

• What is the sales/revenue generated by air brake system across all regions during the forecast period?
• What are the opportunities in the global artificial intelligence (AI) market in automotive?
• What are the major drivers, restraints, opportunities, and threats in the market?
• Which regional market is set to expand at the fastest CAGR during the forecast period?
• Which segment is expected to generate the highest revenue globally in 2034?
• Which segment is projected to expand at the highest CAGR during the forecast period?
• What are the market positions of different companies operating in the global market?

Artificial Intelligence (AI) Market in Automotive - Research Objectives and Research Approach

The comprehensive report on the global artificial intelligence (AI) market in automotive begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global artificial intelligence (AI) market in automotive in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2034 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global artificial intelligence (AI) market in automotive.

Table of Contents

1. Executive Summary

• 1.1. Global Market Outlook
  • 1.1.1. Market Size, Value US$ Mn, 2020-2034
• 1.2. Go to Market Strategy
  • 1.2.1. Demand & Supply Side Trends
  • 1.2.2. Identification of Potential Market Spaces
  • 1.2.3. Understanding the Buying Process of Customers
  • 1.2.4. Preferred Sales & Marketing Strategy
• 1.3. Competitive Dashboard Analysis

2. Market Overview

• 2.1. Market Definition / Scope / Limitations
• 2.2. TMR Analysis and Recommendations
• 2.3. Market Dynamics
  • 2.3.1. Drivers
  • 2.3.2. Restraints
  • 2.3.3. Opportunity
• 2.4. Market Factor Analysis
  • 2.4.1. Porter's Five Force Analysis
  • 2.4.2. SWOT Analysis
• 2.5. Regulatory Scenario
• 2.6. Key Trend Analysis
• 2.7. Value Chain Analysis
• 2.8. Cost Structure Analysis
• 2.9. Profit Margin Analysis

3. Artificial Intelligence (AI) Market in Automotive, by Vehicle Type

• 3.1. Market Snapshot
  • 3.1.1. Introduction, Definition, and Key Findings
  • 3.1.2. Market Growth & Y-o-Y Projections
  • 3.1.3. Base Point Share Analysis
• 3.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 3.2.1. Passenger Cars
    • 3.2.1.1. Hatchback
    • 3.2.1.2. Sedan
    • 3.2.1.3. SUVs
  • 3.2.2. Light Commercial Vehicle
  • 3.2.3. Heavy Duty Trucks
  • 3.2.4. Buses and Coaches
  • 3.2.5. Off-road Vehicle
    • 3.2.5.1. Agriculture Equipment
    • 3.2.5.2. Industrial Equipment
    • 3.2.5.3. Construction and Mining Equipment

4. Artificial Intelligence (AI) Market in Automotive, by Technology Type

• 4.1. Market Snapshot
  • 4.1.1. Introduction, Definition, and Key Findings
  • 4.1.2. Market Growth & Y-o-Y Projections
  • 4.1.3. Base Point Share Analysis
• 4.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 4.2.1. Machine Learning
  • 4.2.2. Deep Learning
  • 4.2.3. Reinforcement Learning
  • 4.2.4. Natural Language Processing (NLP)
  • 4.2.5. Computer Vision
  • 4.2.6. Speech Recognition
  • 4.2.7. Others

5. Artificial Intelligence (AI) Market in Automotive, by Component Type

• 5.1. Market Snapshot
  • 5.1.1. Introduction, Definition, and Key Findings
  • 5.1.2. Market Growth & Y-o-Y Projections
  • 5.1.3. Base Point Share Analysis
• 5.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 5.2.1. Hardware
    • 5.2.1.1. Sensors
    • 5.2.1.2. Processors
    • 5.2.1.3. Graphic Processing Units
    • 5.2.1.4. Others
  • 5.2.2. Software
  • 5.2.3. Services

6. Artificial Intelligence (AI) Market in Automotive, by Level of Autonomy

• 6.1. Market Snapshot
  • 6.1.1. Introduction, Definition, and Key Findings
  • 6.1.2. Market Growth & Y-o-Y Projections
  • 6.1.3. Base Point Share Analysis
• 6.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 6.2.1. Level 1: Driver Assistance
  • 6.2.2. Level 2: Partial Automation
  • 6.2.3. Level 3: Conditional Automation
  • 6.2.4. Level 4: High Automation
  • 6.2.5. Level 5: Full Automation

7. Artificial Intelligence (AI) Market in Automotive, by Application

• 7.1. Market Snapshot
  • 7.1.1. Introduction, Definition, and Key Findings
  • 7.1.2. Market Growth & Y-o-Y Projections
  • 7.1.3. Base Point Share Analysis
• 7.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 7.2.1. Autonomous Driving
  • 7.2.2. Predictive Maintenance
  • 7.2.3. Driver Assistance Systems
  • 7.2.4. In-Car Personal Assistants
  • 7.2.5. Natural Language Processing (NLP) for Voice Recognition
  • 7.2.6. Computer Vision for Object Detection and Recognition
  • 7.2.7. Virtual Assistants for Infotainment Systems
  • 7.2.8. AI-Based Navigation Systems
  • 7.2.9. Vehicle-to-Everything (V2X) Communication
  • 7.2.10. Others

8. Artificial Intelligence (AI) Market in Automotive, By End-user

• 8.1. Market Snapshot
  • 8.1.1. Introduction, Definition, and Key Findings
  • 8.1.2. Market Growth & Y-o-Y Projections
  • 8.1.3. Base Point Share Analysis
• 8.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 8.2.1. OEM
  • 8.2.2. Fleet Operators
  • 8.2.3. Mobility Service Providers
  • 8.2.4. Others

9. Artificial Intelligence (AI) Market in Automotive, by Region

• 9.1. Market Snapshot
  • 9.1.1. Introduction, Definition, and Key Findings
  • 9.1.2. Market Growth & Y-o-Y Projections
  • 9.1.3. Base Point Share Analysis
• 9.2. Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Region
  • 9.2.1. North America
  • 9.2.2. Europe
  • 9.2.3. Asia Pacific
  • 9.2.4. Middle East & Africa
  • 9.2.5. South America

10. North America Artificial Intelligence (AI) Market in Automotive

• 10.1. Market Snapshot
• 10.2. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 10.2.1. Passenger Cars
    • 10.2.1.1. Hatchback
    • 10.2.1.2. Sedan
    • 10.2.1.3. SUVs
  • 10.2.2. Light Commercial Vehicle
  • 10.2.3. Heavy Duty Trucks
  • 10.2.4. Buses and Coaches
  • 10.2.5. Off-road Vehicle
    • 10.2.5.1. Agriculture Equipment
    • 10.2.5.2. Industrial Equipment
    • 10.2.5.3. Construction and Mining Equipment
• 10.3. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 10.3.1. Machine Learning
  • 10.3.2. Deep Learning
  • 10.3.3. Reinforcement Learning
  • 10.3.4. Natural Language Processing (NLP)
  • 10.3.5. Computer Vision
  • 10.3.6. Speech Recognition
  • 10.3.7. Others
• 10.4. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 10.4.1. Hardware
    • 10.4.1.1. Sensors
    • 10.4.1.2. Processors
    • 10.4.1.3. Graphic Processing Units
    • 10.4.1.4. Others
  • 10.4.2. Software
  • 10.4.3. Services
• 10.5. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 10.5.1. Level 1: Driver Assistance
  • 10.5.2. Level 2: Partial Automation
  • 10.5.3. Level 3: Conditional Automation
  • 10.5.4. Level 4: High Automation
  • 10.5.5. Level 5: Full Automation
• 10.6. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 10.6.1. Autonomous Driving
  • 10.6.2. Predictive Maintenance
  • 10.6.3. Driver Assistance Systems
  • 10.6.4. In-Car Personal Assistants
  • 10.6.5. Natural Language Processing (NLP) for Voice Recognition
  • 10.6.6. Computer Vision for Object Detection and Recognition
  • 10.6.7. Virtual Assistants for Infotainment Systems
  • 10.6.8. AI-Based Navigation Systems
  • 10.6.9. Vehicle-to-Everything (V2X) Communication
  • 10.6.10. Others
• 10.7. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 10.7.1. OEM
  • 10.7.2. Fleet Operators
  • 10.7.3. Mobility Service Providers
  • 10.7.4. Others
• 10.8. North America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Country
  • 10.8.1. U. S.
  • 10.8.2. Canada
  • 10.8.3. Mexico

11. Europe Artificial Intelligence (AI) Market in Automotive

• 11.1. Market Snapshot
• 11.2. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 11.2.1. Passenger Cars
    • 11.2.1.1. Hatchback
    • 11.2.1.2. Sedan
    • 11.2.1.3. SUVs
  • 11.2.2. Light Commercial Vehicle
  • 11.2.3. Heavy Duty Trucks
  • 11.2.4. Buses and Coaches
  • 11.2.5. Off-road Vehicle
    • 11.2.5.1. Agriculture Equipment
    • 11.2.5.2. Industrial Equipment
    • 11.2.5.3. Construction and Mining Equipment
• 11.3. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 11.3.1. Machine Learning
  • 11.3.2. Deep Learning
  • 11.3.3. Reinforcement Learning
  • 11.3.4. Natural Language Processing (NLP)
  • 11.3.5. Computer Vision
  • 11.3.6. Speech Recognition
  • 11.3.7. Others
• 11.4. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 11.4.1. Hardware
    • 11.4.1.1. Sensors
    • 11.4.1.2. Processors
    • 11.4.1.3. Graphic Processing Units
    • 11.4.1.4. Others
  • 11.4.2. Software
  • 11.4.3. Services
• 11.5. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 11.5.1. Level 1: Driver Assistance
  • 11.5.2. Level 2: Partial Automation
  • 11.5.3. Level 3: Conditional Automation
  • 11.5.4. Level 4: High Automation
  • 11.5.5. Level 5: Full Automation
• 11.6. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 11.6.1. Autonomous Driving
  • 11.6.2. Predictive Maintenance
  • 11.6.3. Driver Assistance Systems
  • 11.6.4. In-Car Personal Assistants
  • 11.6.5. Natural Language Processing (NLP) for Voice Recognition
  • 11.6.6. Computer Vision for Object Detection and Recognition
  • 11.6.7. Virtual Assistants for Infotainment Systems
  • 11.6.8. AI-Based Navigation Systems
  • 11.6.9. Vehicle-to-Everything (V2X) Communication
  • 11.6.10. Others
• 11.7. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 11.7.1. OEM
  • 11.7.2. Fleet Operators
  • 11.7.3. Mobility Service Providers
  • 11.7.4. Others
• 11.8. Europe Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Country
  • 11.8.1. Germany
  • 11.8.2. U.K.
  • 11.8.3. France
  • 11.8.4. Italy
  • 11.8.5. Spain
  • 11.8.6. Nordic Countries
  • 11.8.7. Russia & CIS
  • 11.8.8. Rest of Europe

12. Asia Pacific Artificial Intelligence (AI) Market in Automotive

• 12.1. Market Snapshot
• 12.2. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 12.2.1. Passenger Cars
    • 12.2.1.1. Hatchback
    • 12.2.1.2. Sedan
    • 12.2.1.3. SUVs
  • 12.2.2. Light Commercial Vehicle
  • 12.2.3. Heavy Duty Trucks
  • 12.2.4. Buses and Coaches
  • 12.2.5. Off-road Vehicle
    • 12.2.5.1. Agriculture Equipment
    • 12.2.5.2. Industrial Equipment
    • 12.2.5.3. Construction and Mining Equipment
• 12.3. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 12.3.1. Machine Learning
  • 12.3.2. Deep Learning
  • 12.3.3. Reinforcement Learning
  • 12.3.4. Natural Language Processing (NLP)
  • 12.3.5. Computer Vision
  • 12.3.6. Speech Recognition
  • 12.3.7. Others
• 12.4. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 12.4.1. Hardware
    • 12.4.1.1. Sensors
    • 12.4.1.2. Processors
    • 12.4.1.3. Graphic Processing Units
    • 12.4.1.4. Others
  • 12.4.2. Software
  • 12.4.3. Services
• 12.5. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 12.5.1. Level 1: Driver Assistance
  • 12.5.2. Level 2: Partial Automation
  • 12.5.3. Level 3: Conditional Automation
  • 12.5.4. Level 4: High Automation
  • 12.5.5. Level 5: Full Automation
• 12.6. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 12.6.1. Autonomous Driving
  • 12.6.2. Predictive Maintenance
  • 12.6.3. Driver Assistance Systems
  • 12.6.4. In-Car Personal Assistants
  • 12.6.5. Natural Language Processing (NLP) for Voice Recognition
  • 12.6.6. Computer Vision for Object Detection and Recognition
  • 12.6.7. Virtual Assistants for Infotainment Systems
  • 12.6.8. AI-Based Navigation Systems
  • 12.6.9. Vehicle-to-Everything (V2X) Communication
  • 12.6.10. Others
• 12.7. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 12.7.1. OEM
  • 12.7.2. Fleet Operators
  • 12.7.3. Mobility Service Providers
  • 12.7.4. Others
• 12.8. Asia Pacific Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Country
  • 12.8.1. China
  • 12.8.2. India
  • 12.8.3. Japan
  • 12.8.4. ASEAN Countries
  • 12.8.5. South Korea
  • 12.8.6. ANZ
  • 12.8.7. Rest of Asia Pacific

13. Middle East & Africa Artificial Intelligence (AI) Market in Automotive

• 13.1. Market Snapshot
• 13.2. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 13.2.1. Passenger Cars
    • 13.2.1.1. Hatchback
    • 13.2.1.2. Sedan
    • 13.2.1.3. SUVs
  • 13.2.2. Light Commercial Vehicle
  • 13.2.3. Heavy Duty Trucks
  • 13.2.4. Buses and Coaches
  • 13.2.5. Off-road Vehicle
    • 13.2.5.1. Agriculture Equipment
    • 13.2.5.2. Industrial Equipment
    • 13.2.5.3. Construction and Mining Equipment
• 13.3. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 13.3.1. Machine Learning
  • 13.3.2. Deep Learning
  • 13.3.3. Reinforcement Learning
  • 13.3.4. Natural Language Processing (NLP)
  • 13.3.5. Computer Vision
  • 13.3.6. Speech Recognition
  • 13.3.7. Others
• 13.4. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 13.4.1. Hardware
    • 13.4.1.1. Sensors
    • 13.4.1.2. Processors
    • 13.4.1.3. Graphic Processing Units
    • 13.4.1.4. Others
  • 13.4.2. Software
  • 13.4.3. Services
• 13.5. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 13.5.1. Level 1: Driver Assistance
  • 13.5.2. Level 2: Partial Automation
  • 13.5.3. Level 3: Conditional Automation
  • 13.5.4. Level 4: High Automation
  • 13.5.5. Level 5: Full Automation
• 13.6. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 13.6.1. Autonomous Driving
  • 13.6.2. Predictive Maintenance
  • 13.6.3. Driver Assistance Systems
  • 13.6.4. In-Car Personal Assistants
  • 13.6.5. Natural Language Processing (NLP) for Voice Recognition
  • 13.6.6. Computer Vision for Object Detection and Recognition
  • 13.6.7. Virtual Assistants for Infotainment Systems
  • 13.6.8. AI-Based Navigation Systems
  • 13.6.9. Vehicle-to-Everything (V2X) Communication
  • 13.6.10. Others
• 13.7. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 13.7.1. OEM
  • 13.7.2. Fleet Operators
  • 13.7.3. Mobility Service Providers
  • 13.7.4. Others
• 13.8. Middle East & Africa Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Country
  • 13.8.1. GCC
  • 13.8.2. South Africa
  • 13.8.3. Turkiye
  • 13.8.4. Rest of Middle East & Africa

14. South America Artificial Intelligence (AI) Market in Automotive

• 14.1. Market Snapshot
• 14.2. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Vehicle Type
  • 14.2.1. Passenger Cars
    • 14.2.1.1. Hatchback
    • 14.2.1.2. Sedan
    • 14.2.1.3. SUVs
  • 14.2.2. Light Commercial Vehicle
  • 14.2.3. Heavy Duty Trucks
  • 14.2.4. Buses and Coaches
  • 14.2.5. Off-road Vehicle
    • 14.2.5.1. Agriculture Equipment
    • 14.2.5.2. Industrial Equipment
    • 14.2.5.3. Construction and Mining Equipment
• 14.3. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Technology Type
  • 14.3.1. Machine Learning
  • 14.3.2. Deep Learning
  • 14.3.3. Reinforcement Learning
  • 14.3.4. Natural Language Processing (NLP)
  • 14.3.5. Computer Vision
  • 14.3.6. Speech Recognition
  • 14.3.7. Others
• 14.4. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Component Type
  • 14.4.1. Hardware
    • 14.4.1.1. Sensors
    • 14.4.1.2. Processors
    • 14.4.1.3. Graphic Processing Units
    • 14.4.1.4. Others
  • 14.4.2. Software
  • 14.4.3. Services
• 14.5. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Level of Autonomy
  • 14.5.1. Level 1: Driver Assistance
  • 14.5.2. Level 2: Partial Automation
  • 14.5.3. Level 3: Conditional Automation
  • 14.5.4. Level 4: High Automation
  • 14.5.5. Level 5: Full Automation
• 14.6. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, by Application
  • 14.6.1. Autonomous Driving
  • 14.6.2. Predictive Maintenance
  • 14.6.3. Driver Assistance Systems
  • 14.6.4. In-Car Personal Assistants
  • 14.6.5. Natural Language Processing (NLP) for Voice Recognition
  • 14.6.6. Computer Vision for Object Detection and Recognition
  • 14.6.7. Virtual Assistants for Infotainment Systems
  • 14.6.8. AI-Based Navigation Systems
  • 14.6.9. Vehicle-to-Everything (V2X) Communication
  • 14.6.10. Others
• 14.7. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By End-user
  • 14.7.1. OEM
  • 14.7.2. Fleet Operators
  • 14.7.3. Mobility Service Providers
  • 14.7.4. Others
• 14.8. South America Artificial Intelligence (AI) Market in Automotive Size & Forecast, 2020-2034, By Country
  • 14.8.1. Brazil
  • 14.8.2. Argentina
  • 14.8.3. Rest of South America

15. Competitive Landscape

• 15.1. Company Share Analysis/ Brand Share Analysis, 2023
• 15.2. Company Analysis for Each Player
• 15.3. Company Profiles/ Key Players
  • 15.3.1. Waymo
    • 15.3.1.1. Company Overview
    • 15.3.1.2. Company Footprints
    • 15.3.1.3. Production Locations
    • 15.3.1.4. Product Portfolio
    • 15.3.1.5. Competitors & Customers
    • 15.3.1.6. Subsidiaries & Parent Organization
    • 15.3.1.7. Recent Developments
    • 15.3.1.8. Financial Analysis
    • 15.3.1.9. Profitability
    • 15.3.1.10. Revenue Share
  • 15.3.2. Tesla, Inc.
    • 15.3.2.1. Company Overview
    • 15.3.2.2. Company Footprints
    • 15.3.2.3. Production Locations
    • 15.3.2.4. Product Portfolio
    • 15.3.2.5. Competitors & Customers
    • 15.3.2.6. Subsidiaries & Parent Organization
    • 15.3.2.7. Recent Developments
    • 15.3.2.8. Financial Analysis
    • 15.3.2.9. Profitability
    • 15.3.2.10. Revenue Share
  • 15.3.3. NVIDIA Corporation
    • 15.3.3.1. Company Overview
    • 15.3.3.2. Company Footprints
    • 15.3.3.3. Production Locations
    • 15.3.3.4. Product Portfolio
    • 15.3.3.5. Competitors & Customers
    • 15.3.3.6. Subsidiaries & Parent Organization
    • 15.3.3.7. Recent Developments
    • 15.3.3.8. Financial Analysis
    • 15.3.3.9. Profitability
    • 15.3.3.10. Revenue Share
  • 15.3.4. Intel Corporation
    • 15.3.4.1. Company Overview
    • 15.3.4.2. Company Footprints
    • 15.3.4.3. Production Locations
    • 15.3.4.4. Product Portfolio
    • 15.3.4.5. Competitors & Customers
    • 15.3.4.6. Subsidiaries & Parent Organization
    • 15.3.4.7. Recent Developments
    • 15.3.4.8. Financial Analysis
    • 15.3.4.9. Profitability
    • 15.3.4.10. Revenue Share
  • 15.3.5. Bosch Group
    • 15.3.5.1. Company Overview
    • 15.3.5.2. Company Footprints
    • 15.3.5.3. Production Locations
    • 15.3.5.4. Product Portfolio
    • 15.3.5.5. Competitors & Customers
    • 15.3.5.6. Subsidiaries & Parent Organization
    • 15.3.5.7. Recent Developments
    • 15.3.5.8. Financial Analysis
    • 15.3.5.9. Profitability
    • 15.3.5.10. Revenue Share
  • 15.3.6. Mobileye
    • 15.3.6.1. Company Overview
    • 15.3.6.2. Company Footprints
    • 15.3.6.3. Production Locations
    • 15.3.6.4. Product Portfolio
    • 15.3.6.5. Competitors & Customers
    • 15.3.6.6. Subsidiaries & Parent Organization
    • 15.3.6.7. Recent Developments
    • 15.3.6.8. Financial Analysis
    • 15.3.6.9. Profitability
    • 15.3.6.10. Revenue Share
  • 15.3.7. Aptiv PLC
    • 15.3.7.1. Company Overview
    • 15.3.7.2. Company Footprints
    • 15.3.7.3. Production Locations
    • 15.3.7.4. Product Portfolio
    • 15.3.7.5. Competitors & Customers
    • 15.3.7.6. Subsidiaries & Parent Organization
    • 15.3.7.7. Recent Developments
    • 15.3.7.8. Financial Analysis
    • 15.3.7.9. Profitability
    • 15.3.7.10. Revenue Share
  • 15.3.8. Daimler AG
    • 15.3.8.1. Company Overview
    • 15.3.8.2. Company Footprints
    • 15.3.8.3. Production Locations
    • 15.3.8.4. Product Portfolio
    • 15.3.8.5. Competitors & Customers
    • 15.3.8.6. Subsidiaries & Parent Organization
    • 15.3.8.7. Recent Developments
    • 15.3.8.8. Financial Analysis
    • 15.3.8.9. Profitability
    • 15.3.8.10. Revenue Share
  • 15.3.9. Ford Motor Company
    • 15.3.9.1. Company Overview
    • 15.3.9.2. Company Footprints
    • 15.3.9.3. Production Locations
    • 15.3.9.4. Product Portfolio
    • 15.3.9.5. Competitors & Customers
    • 15.3.9.6. Subsidiaries & Parent Organization
    • 15.3.9.7. Recent Developments
    • 15.3.9.8. Financial Analysis
    • 15.3.9.9. Profitability
    • 15.3.9.10. Revenue Share
  • 15.3.10. General Motors Company
    • 15.3.10.1. Company Overview
    • 15.3.10.2. Company Footprints
    • 15.3.10.3. Production Locations
    • 15.3.10.4. Product Portfolio
    • 15.3.10.5. Competitors & Customers
    • 15.3.10.6. Subsidiaries & Parent Organization
    • 15.3.10.7. Recent Developments
    • 15.3.10.8. Financial Analysis
    • 15.3.10.9. Profitability
    • 15.3.10.10. Revenue Share
  • 15.3.11. Toyota Motor Corporation
    • 15.3.11.1. Company Overview
    • 15.3.11.2. Company Footprints
    • 15.3.11.3. Production Locations
    • 15.3.11.4. Product Portfolio
    • 15.3.11.5. Competitors & Customers
    • 15.3.11.6. Subsidiaries & Parent Organization
    • 15.3.11.7. Recent Developments
    • 15.3.11.8. Financial Analysis
    • 15.3.11.9. Profitability
    • 15.3.11.10. Revenue Share
  • 15.3.12. BMW Group
    • 15.3.12.1. Company Overview
    • 15.3.12.2. Company Footprints
    • 15.3.12.3. Production Locations
    • 15.3.12.4. Product Portfolio
    • 15.3.12.5. Competitors & Customers
    • 15.3.12.6. Subsidiaries & Parent Organization
    • 15.3.12.7. Recent Developments
    • 15.3.12.8. Financial Analysis
    • 15.3.12.9. Profitability
    • 15.3.12.10. Revenue Share
  • 15.3.13. Audi AG
    • 15.3.13.1. Company Overview
    • 15.3.13.2. Company Footprints
    • 15.3.13.3. Production Locations
    • 15.3.13.4. Product Portfolio
    • 15.3.13.5. Competitors & Customers
    • 15.3.13.6. Subsidiaries & Parent Organization
    • 15.3.13.7. Recent Developments
    • 15.3.13.8. Financial Analysis
    • 15.3.13.9. Profitability
    • 15.3.13.10. Revenue Share
  • 15.3.14. Continental AG
    • 15.3.14.1. Company Overview
    • 15.3.14.2. Company Footprints
    • 15.3.14.3. Production Locations
    • 15.3.14.4. Product Portfolio
    • 15.3.14.5. Competitors & Customers
    • 15.3.14.6. Subsidiaries & Parent Organization
    • 15.3.14.7. Recent Developments
    • 15.3.14.8. Financial Analysis
    • 15.3.14.9. Profitability
    • 15.3.14.10. Revenue Share
  • 15.3.15. Uber Technologies, Inc.
    • 15.3.15.1. Company Overview
    • 15.3.15.2. Company Footprints
    • 15.3.15.3. Production Locations
    • 15.3.15.4. Product Portfolio
    • 15.3.15.5. Competitors & Customers
    • 15.3.15.6. Subsidiaries & Parent Organization
    • 15.3.15.7. Recent Developments
    • 15.3.15.8. Financial Analysis
    • 15.3.15.9. Profitability
    • 15.3.15.10. Revenue Share
  • 15.3.16. Volvo Cars
    • 15.3.16.1. Company Overview
    • 15.3.16.2. Company Footprints
    • 15.3.16.3. Production Locations
    • 15.3.16.4. Product Portfolio
    • 15.3.16.5. Competitors & Customers
    • 15.3.16.6. Subsidiaries & Parent Organization
    • 15.3.16.7. Recent Developments
    • 15.3.16.8. Financial Analysis
    • 15.3.16.9. Profitability
    • 15.3.16.10. Revenue Share
  • 15.3.17. ZF Friedrichshafen AG
    • 15.3.17.1. Company Overview
    • 15.3.17.2. Company Footprints
    • 15.3.17.3. Production Locations
    • 15.3.17.4. Product Portfolio
    • 15.3.17.5. Competitors & Customers
    • 15.3.17.6. Subsidiaries & Parent Organization
    • 15.3.17.7. Recent Developments
    • 15.3.17.8. Financial Analysis
    • 15.3.17.9. Profitability
    • 15.3.17.10. Revenue Share
  • 15.3.18. Valeo SA
    • 15.3.18.1. Company Overview
    • 15.3.18.2. Company Footprints
    • 15.3.18.3. Production Locations
    • 15.3.18.4. Product Portfolio
    • 15.3.18.5. Competitors & Customers
    • 15.3.18.6. Subsidiaries & Parent Organization
    • 15.3.18.7. Recent Developments
    • 15.3.18.8. Financial Analysis
    • 15.3.18.9. Profitability
    • 15.3.18.10. Revenue Share
  • 15.3.19. Hyundai Motor Company
    • 15.3.19.1. Company Overview
    • 15.3.19.2. Company Footprints
    • 15.3.19.3. Production Locations
    • 15.3.19.4. Product Portfolio
    • 15.3.19.5. Competitors & Customers
    • 15.3.19.6. Subsidiaries & Parent Organization
    • 15.3.19.7. Recent Developments
    • 15.3.19.8. Financial Analysis
    • 15.3.19.9. Profitability
    • 15.3.19.10. Revenue Share
  • 15.3.20. Baidu, Inc.
    • 15.3.20.1. Company Overview
    • 15.3.20.2. Company Footprints
    • 15.3.20.3. Production Locations
    • 15.3.20.4. Product Portfolio
    • 15.3.20.5. Competitors & Customers
    • 15.3.20.6. Subsidiaries & Parent Organization
    • 15.3.20.7. Recent Developments
    • 15.3.20.8. Financial Analysis
    • 15.3.20.9. Profitability
    • 15.3.20.10. Revenue Share

관련자료