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1451775

車載AI市場レポート：製品、用途、地域別、2024-2032年

In-Cabin Automotive AI Market Report by Product (Radar, Camera, Voice Assistant, Smart Sensor), Application (Occupant Monitoring System, Driver Monitoring System, Conversation Assistance, Smart HVAC), and Region 2024-2032
出版日: | 発行: IMARC | ページ情報: 英文 140 Pages | 納期: 2～3営業日

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車載AI市場レポート：製品、用途、地域別、2024-2032年
出版日: 2024年03月02日
発行: IMARC
ページ情報: 英文 140 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の車載AI市場規模は2023年に1億2,760万米ドルに達しました。今後、IMARC Groupは、同市場が2024年から2032年の間に38.67%の成長率（CAGR）を示し、2032年までに26億1,450万米ドルに達すると予測しています。ADAS（先進運転支援システム）や自律走行技術に対する需要の増加、パーソナライズされた運転体験に対する需要の高まり、電気自動車の採用増加などが市場を牽引する主な要因となっています。

車載AIとは、人工知能（AI）と機械学習（ML）技術を自動車に導入して運転体験を向上させ、安全性を高めることを指します。この技術は、センサー、カメラ、マイクなどさまざまなソースからのデータを分析し、ドライバーの行動や周辺環境に関する洞察を提供するために使用できます。車載AIは、ドライバーのモニタリング、顔認識、音声認識、自然言語処理など、さまざまな目的に利用できます。また、車線逸脱、歩行者検知、衝突回避など、潜在的な安全上の危険を検知するための車両センサーからのデータ分析にも使用できます。車載AIの主な利点のひとつは、個々のドライバーの行動や嗜好に適応する能力です。近年、車載AIは運転体験を大幅に改善し、ドライバーと同乗者双方の安全性を高める可能性があるとして、支持を集めています。

車載AI市場の動向：

市場を促進する主な要因の1つは、ADAS（先進運転支援システム）や自律走行技術に対する需要の高まりであり、これらの技術はAIやMLに依存して、さまざまなセンサーからのデータを分析し、このデータに基づいてリアルタイムで意思決定を行う。車載AIは、ドライバーの行動や周辺環境に関する追加データを提供することでこれらの技術を強化し、安全性を向上させて事故のリスクを低減することができます。さらに、パーソナライズされた運転体験に対する需要の高まりが、市場の前向きな見通しを生み出しています。車内AIは、シートポジション、空調制御、エンターテインメントに関するドライバーの好みを学習し、ドライバーの行動と環境に基づいてこれらの設定を自動的に調整するために使用できます。これにより運転体験が向上し、ドライバーの疲労軽減や長距離移動時の安全性向上にもつながります。このほか、電気自動車（EV）の普及が進むことで、車内AI技術に新たな機会が生まれています。EVは車内の快適な温度を維持するために、より高度な熱管理システムを必要とするが、AIはドライバーの行動や気象条件に基づいてこれらのシステムを最適化するために利用できます。また、車載AIはバッテリーの監視や充電動作の最適化、航続距離の向上、バッテリー損傷のリスク低減にも活用できます。さらに、コネクテッドカーやモノのインターネット（IoT）の台頭は、スマートホームシステムやウェアラブルなどの他のIoTデバイスと統合することで、ドライバーの広範なデジタルライフと連携したシームレスな運転体験を提供できるため、車内AI技術の需要を高めています。

本レポートで扱う主な質問

  • 世界の車載AI市場はこれまでどのように推移し、今後数年間はどのように推移するのか？
  • 世界の車載AI市場における促進要因、抑制要因、機会は何か？
  • それぞれの促進要因、抑制要因、機会が世界の車載AI市場に与える影響は？
  • 主要な地域市場は？
  • 最も魅力的な車載AI市場はどの国か？
  • 製品別の市場内訳は？
  • 車載AI市場で最も魅力的な製品は？
  • 用途別の市場内訳は？
  • 車載AI市場で最も魅力的な用途は？
  • 世界の車載AI市場の競争構造は？
  • 車載AI市場の主要プレイヤー/企業は？

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要産業動向

第5章 世界の車載AI市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：製品別

  • レーダー
    • 市場動向
    • 市場予測
  • カメラ
    • 市場動向
    • 市場予測
  • 音声アシスタント
    • 市場動向
    • 市場予測
  • スマートセンサー
    • 市場動向
    • 市場予測

第7章 市場内訳：用途別

  • 乗員モニタリングシステム
    • 市場動向
    • 市場予測
  • ドライバーモニタリングシステム
    • 市場動向
    • 市場予測
  • 会話支援
    • 市場動向
    • 市場予測
  • スマートHVAC
    • 市場動向
    • 市場予測

第8章 市場内訳：地域別

  • 北米
    • 米国
      • 市場動向
      • 市場予測
    • カナダ
      • 市場動向
      • 市場予測
  • アジア太平洋
    • 中国
      • 市場動向
      • 市場予測
    • 日本
      • 市場動向
      • 市場予測
    • インド
      • 市場動向
      • 市場予測
    • 韓国
      • 市場動向
      • 市場予測
    • オーストラリア
      • 市場動向
      • 市場予測
    • インドネシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 欧州
    • ドイツ
      • 市場動向
      • 市場予測
    • フランス
      • 市場動向
      • 市場予測
    • 英国
      • 市場動向
      • 市場予測
    • イタリア
      • 市場動向
      • 市場予測
    • スペイン
      • 市場動向
      • 市場予測
    • ロシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • ラテンアメリカ
    • ブラジル
      • 市場動向
      • 市場予測
    • メキシコ
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 中東・アフリカ地域
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第9章 促進要因・抑制要因・機会

  • 市場概要
  • 促進要因
  • 抑制要因
  • 機会

第10章 バリューチェーン分析

第11章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第12章 価格分析

第13章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Ambarella Inc
    • Aptiv PLC
    • Cipia Vision Ltd.
    • Denso Corporation
    • Eyeris Technologies Inc.
    • FORVIA Faurecia
    • Hyundai Mobis（Hyundai Motor Group）
    • NXP Semiconductors N.V.
    • Qualcomm Incorporated
    • Renesas Electronics Corporation
    • Robert Bosch GmbH（Robert Bosch Stiftung GmbH）
    • Seeing Machines
    • Valeo
    • Visteon Corporation
    • ZF Friedrichshafen AG
図表

List of Figures

  • Figure 1: Global: In-Cabin Automotive AI Market: Major Drivers and Challenges
  • Figure 2: Global: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018-2023
  • Figure 3: Global: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 4: Global: In-Cabin Automotive AI Market: Breakup by Product (in %), 2023
  • Figure 5: Global: In-Cabin Automotive AI Market: Breakup by Application (in %), 2023
  • Figure 6: Global: In-Cabin Automotive AI Market: Breakup by Region (in %), 2023
  • Figure 7: Global: In-Cabin Automotive AI (Radar) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 8: Global: In-Cabin Automotive AI (Radar) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 9: Global: In-Cabin Automotive AI (Camera) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: In-Cabin Automotive AI (Camera) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: In-Cabin Automotive AI (Voice Assistant) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: In-Cabin Automotive AI (Voice Assistant) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: In-Cabin Automotive AI (Smart Sensor) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: In-Cabin Automotive AI (Smart Sensor) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: In-Cabin Automotive AI (Occupant Monitoring System) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: In-Cabin Automotive AI (Occupant Monitoring System) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: In-Cabin Automotive AI (Driver Monitoring System) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: In-Cabin Automotive AI (Driver Monitoring System) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: In-Cabin Automotive AI (Conversation Assistance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: In-Cabin Automotive AI (Conversation Assistance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: In-Cabin Automotive AI (Smart HVAC) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: In-Cabin Automotive AI (Smart HVAC) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: North America: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: North America: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: United States: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: United States: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Canada: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Canada: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Asia-Pacific: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Asia-Pacific: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: China: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: China: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Japan: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Japan: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: India: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: India: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: South Korea: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: South Korea: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Australia: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Australia: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Indonesia: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Indonesia: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Others: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Others: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Europe: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Europe: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: Germany: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: Germany: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: France: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: France: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: United Kingdom: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: United Kingdom: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Italy: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Italy: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Spain: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Spain: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Russia: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Russia: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Others: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Others: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: Latin America: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: Latin America: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Brazil: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Brazil: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Mexico: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Mexico: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Others: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Others: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Middle East and Africa: In-Cabin Automotive AI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Middle East and Africa: In-Cabin Automotive AI Market: Breakup by Country (in %), 2023
  • Figure 71: Middle East and Africa: In-Cabin Automotive AI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Global: In-Cabin Automotive AI Industry: Drivers, Restraints, and Opportunities
  • Figure 73: Global: In-Cabin Automotive AI Industry: Value Chain Analysis
  • Figure 74: Global: In-Cabin Automotive AI Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: In-Cabin Automotive AI Market: Key Industry Highlights, 2023 & 2032
  • Table 2: Global: In-Cabin Automotive AI Market Forecast: Breakup by Product (in Million US$), 2024-2032
  • Table 3: Global: In-Cabin Automotive AI Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 4: Global: In-Cabin Automotive AI Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 5: Global: In-Cabin Automotive AI Market: Competitive Structure
  • Table 6: Global: In-Cabin Automotive AI Market: Key Players
目次
Product Code: SR112024A7610

The global in-cabin automotive AI market size reached US$ 127.6 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 2,614.5 Million by 2032, exhibiting a growth rate (CAGR) of 38.67% during 2024-2032. The increasing demand for advanced driver assistance system and autonomous driving technologies, growing demand for personalized driving experiences, and increasing adoption of electric vehicles represent some of the key factors driving the market.

In-cabin automotive AI refers to the use of artificial intelligence (AI) and machine learning (ML) technologies in vehicles to improve the driving experience and enhance safety. This technology can be used to analyze data from different sources, including sensors, cameras, and microphones, to provide insights into the driver's behavior, as well as the surrounding environment. In-cabin automotive AI can be used for numerous purposes, such as driver monitoring, facial recognition, voice recognition, and natural language processing. It can also be used to analyze data from vehicle sensors to detect potential safety hazards, such as lane departures, pedestrian detection, and collision avoidance. One of the key benefits of in-cabin automotive AI is its ability to adapt to individual driver behavior and preferences. In recent years, in-cabin automotive AI has gained traction as it has the potential to significantly improve the driving experience and enhance safety for both drivers and passengers.

In-Cabin Automotive AI Market Trends:

One of the primary factors driving the market is the increasing demand for advanced driver assistance systems (ADAS) and autonomous driving technologies, which rely on AI and ML to analyze data from a variety of sensors and make real-time decisions based on this data. In-cabin AI can enhance these technologies by providing additional data on driver behavior and the surrounding environment, improving safety and reducing the risk of accidents. Additionally, the growing demand for personalized driving experiences is creating a positive market outlook. In-cabin AI can be used to learn a driver's preferences for seat position, climate control, and entertainment, and automatically adjust these settings based on the driver's behavior and environment. This improves the driving experience and also helps reduce driver fatigue and increase safety on long journeys. Other than this, the increasing adoption of electric vehicles (EVs) is creating new opportunities for in-cabin AI technologies. EVs require more sophisticated thermal management systems to maintain comfortable temperatures in the cabin, and AI can be used to optimize these systems based on driver behavior and weather conditions. In-cabin AI can also be used to monitor the battery and optimize charging behavior, improve range and reduce the risk of battery damage. Moreover, the rise of connected cars and the Internet of Things (IoT) is escalating the demand for in-cabin AI technologies as they can be integrated with other IoT devices, such as smart home systems and wearables, to provide a seamless driving experience that is connected to the driver's broader digital life.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global in-cabin automotive AI market, along with forecasts at the global, regional, and country levels from 2024-2032. Our report has categorized the market based on the product and application.

Product Insights:

Radar

Camera

Voice Assistant

Smart Sensor

The report has provided a detailed breakup and analysis of the in-cabin automotive AI market based on the product. This includes radar, camera, voice assistant, and smart sensor. According to the report, camera represented the largest segment.

Application Insights:

Occupant Monitoring System

Driver Monitoring System

Conversation Assistance

Smart HVAC

A detailed breakup and analysis of the in-cabin automotive AI market based on the application has also been provided in the report. This includes occupant monitoring system, driver monitoring system, conversation assistance, and smart HVAC. According to the report, driver monitoring system accounted for the largest market share.

Regional Insights:

North America

United States

Canada

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Asia Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report Europe was the largest market for in-cabin automotive AI. Some of the factors driving the Europe In-cabin automotive AI market included increasing demand for advanced driver assistance systems (ADAS), growing trend toward autonomous driving, and rising demand for electric vehicles.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global in-cabin automotive AI market. Detailed profiles of all major companies have also been provided. Some of the companies covered include Ambarella Inc., Aptiv Plc, Cipia Vision Ltd., Denso Corporation, Eyeris Technologies Inc., FORVIA Faurecia, Hyundai Mobis (Hyundai Motor Group), NXP Semiconductors N.V., Qualcomm Incorporated, Renesas Electronics Corporation, Robert Bosch GmbH (Robert Bosch Stiftung GmbH), Seeing Machines, Valeo, Visteon Corporation, ZF Friedrichshafen AG, etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.

Key Questions Answered in This Report:

  • How has the global in-cabin automotive AI market performed so far, and how will it perform in the coming years?
  • What are the drivers, restraints, and opportunities in the global in-cabin automotive AI market?
  • What is the impact of each driver, restraint, and opportunity on the global in-cabin automotive AI market?
  • What are the key regional markets?
  • Which countries represent the most attractive in-cabin automotive AI market?
  • What is the breakup of the market based on the product?
  • Which is the most attractive product in the in-cabin automotive AI market?
  • What is the breakup of the market based on the application?
  • Which is the most attractive application in the in-cabin automotive AI market?
  • What is the competitive structure of the global in-cabin automotive AI market?
  • Who are the key players/companies in the in-cabin automotive AI market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global In-Cabin Automotive AI Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Product

  • 6.1 Radar
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Camera
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Voice Assistant
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Smart Sensor
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Application

  • 7.1 Occupant Monitoring System
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Driver Monitoring System
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Conversation Assistance
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Smart HVAC
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast

8 Market Breakup by Region

  • 8.1 North America
    • 8.1.1 United States
      • 8.1.1.1 Market Trends
      • 8.1.1.2 Market Forecast
    • 8.1.2 Canada
      • 8.1.2.1 Market Trends
      • 8.1.2.2 Market Forecast
  • 8.2 Asia-Pacific
    • 8.2.1 China
      • 8.2.1.1 Market Trends
      • 8.2.1.2 Market Forecast
    • 8.2.2 Japan
      • 8.2.2.1 Market Trends
      • 8.2.2.2 Market Forecast
    • 8.2.3 India
      • 8.2.3.1 Market Trends
      • 8.2.3.2 Market Forecast
    • 8.2.4 South Korea
      • 8.2.4.1 Market Trends
      • 8.2.4.2 Market Forecast
    • 8.2.5 Australia
      • 8.2.5.1 Market Trends
      • 8.2.5.2 Market Forecast
    • 8.2.6 Indonesia
      • 8.2.6.1 Market Trends
      • 8.2.6.2 Market Forecast
    • 8.2.7 Others
      • 8.2.7.1 Market Trends
      • 8.2.7.2 Market Forecast
  • 8.3 Europe
    • 8.3.1 Germany
      • 8.3.1.1 Market Trends
      • 8.3.1.2 Market Forecast
    • 8.3.2 France
      • 8.3.2.1 Market Trends
      • 8.3.2.2 Market Forecast
    • 8.3.3 United Kingdom
      • 8.3.3.1 Market Trends
      • 8.3.3.2 Market Forecast
    • 8.3.4 Italy
      • 8.3.4.1 Market Trends
      • 8.3.4.2 Market Forecast
    • 8.3.5 Spain
      • 8.3.5.1 Market Trends
      • 8.3.5.2 Market Forecast
    • 8.3.6 Russia
      • 8.3.6.1 Market Trends
      • 8.3.6.2 Market Forecast
    • 8.3.7 Others
      • 8.3.7.1 Market Trends
      • 8.3.7.2 Market Forecast
  • 8.4 Latin America
    • 8.4.1 Brazil
      • 8.4.1.1 Market Trends
      • 8.4.1.2 Market Forecast
    • 8.4.2 Mexico
      • 8.4.2.1 Market Trends
      • 8.4.2.2 Market Forecast
    • 8.4.3 Others
      • 8.4.3.1 Market Trends
      • 8.4.3.2 Market Forecast
  • 8.5 Middle East and Africa
    • 8.5.1 Market Trends
    • 8.5.2 Market Breakup by Country
    • 8.5.3 Market Forecast

9 Drivers, Restraints, and Opportunities

  • 9.1 Overview
  • 9.2 Drivers
  • 9.3 Restraints
  • 9.4 Opportunities

10 Value Chain Analysis

11 Porters Five Forces Analysis

  • 11.1 Overview
  • 11.2 Bargaining Power of Buyers
  • 11.3 Bargaining Power of Suppliers
  • 11.4 Degree of Competition
  • 11.5 Threat of New Entrants
  • 11.6 Threat of Substitutes

12 Price Analysis

13 Competitive Landscape

  • 13.1 Market Structure
  • 13.2 Key Players
  • 13.3 Profiles of Key Players
    • 13.3.1 Ambarella Inc
      • 13.3.1.1 Company Overview
      • 13.3.1.2 Product Portfolio
      • 13.3.1.3 Financials
    • 13.3.2 Aptiv PLC
      • 13.3.2.1 Company Overview
      • 13.3.2.2 Product Portfolio
      • 13.3.2.3 Financials
      • 13.3.2.4 SWOT Analysis
    • 13.3.3 Cipia Vision Ltd.
      • 13.3.3.1 Company Overview
      • 13.3.3.2 Product Portfolio
    • 13.3.4 Denso Corporation
      • 13.3.4.1 Company Overview
      • 13.3.4.2 Product Portfolio
      • 13.3.4.3 Financials
      • 13.3.4.4 SWOT Analysis
    • 13.3.5 Eyeris Technologies Inc.
      • 13.3.5.1 Company Overview
      • 13.3.5.2 Product Portfolio
    • 13.3.6 FORVIA Faurecia
      • 13.3.6.1 Company Overview
      • 13.3.6.2 Product Portfolio
      • 13.3.6.3 Financials
      • 13.3.6.4 SWOT Analysis
    • 13.3.7 Hyundai Mobis (Hyundai Motor Group)
      • 13.3.7.1 Company Overview
      • 13.3.7.2 Product Portfolio
      • 13.3.7.3 Financials
    • 13.3.8 NXP Semiconductors N.V.
      • 13.3.8.1 Company Overview
      • 13.3.8.2 Product Portfolio
      • 13.3.8.3 Financials
      • 13.3.8.4 SWOT Analysis
    • 13.3.9 Qualcomm Incorporated
      • 13.3.9.1 Company Overview
      • 13.3.9.2 Product Portfolio
      • 13.3.9.3 Financials
      • 13.3.9.4 SWOT Analysis
    • 13.3.10 Renesas Electronics Corporation
      • 13.3.10.1 Company Overview
      • 13.3.10.2 Product Portfolio
      • 13.3.10.3 Financials
      • 13.3.10.4 SWOT Analysis
    • 13.3.11 Robert Bosch GmbH (Robert Bosch Stiftung GmbH)
      • 13.3.11.1 Company Overview
      • 13.3.11.2 Product Portfolio
      • 13.3.11.3 SWOT Analysis
    • 13.3.12 Seeing Machines
      • 13.3.12.1 Company Overview
      • 13.3.12.2 Product Portfolio
      • 13.3.12.3 Financials
    • 13.3.13 Valeo
      • 13.3.13.1 Company Overview
      • 13.3.13.2 Product Portfolio
    • 13.3.14 Visteon Corporation
      • 13.3.14.1 Company Overview
      • 13.3.14.2 Product Portfolio
      • 13.3.14.3 Financials
      • 13.3.14.4 SWOT Analysis
    • 13.3.15 ZF Friedrichshafen AG
      • 13.3.15.1 Company Overview
      • 13.3.15.2 Product Portfolio
      • 13.3.15.3 SWOT Analysis

Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.