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商品編碼
1519831

2024-2032 年按組件、技術、製程、應用和地區分類的汽車人工智慧市場報告

Automotive Artificial Intelligence Market Report by Component, Technology, Process, Application, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 149 Pages | 商品交期: 2-3個工作天內

價格

IMARC Group年全球汽車人工智慧市場規模達39億美元。消費者對先進功能的需求不斷成長、各種政府法規的實施、重大技術進步、感測器技術成本的快速降低、交通管理中對人工智慧(AI) 的需求不斷成長以及對永續性的日益重視是推動這一趨勢的一些主要因素。

汽車人工智慧（AI）是指將技術整合到車輛中，以增強其功能、安全性和用戶體驗。它包括各種系統，例如駕駛員輔助、車內虛擬助理、預測性維護和完全自主系統。汽車人工智慧廣泛應用於自適應巡航控制、防撞、駕駛員監控、聲控控制、交通標誌識別、自動停車和即時交通監控等領域。它有助於增強安全性、提高效率、降低排放水平、節省時間、增加交通流量、改善用戶體驗並促進永續發展。

感測器技術和運算能力的成本迅速下降，使得人工智慧的實施對於汽車製造商來說在經濟上更加可行，對市場成長產生了積極的影響。除此之外，由於城市化進程不斷加快以及隨之而來的交通堵塞，對交通管理和路線最佳化方面人工智慧的需求不斷成長，也推動了市場的成長。此外，汽車製造商擴大利用人工智慧來實現卓越的預測性維護、即時決策和個人化用戶體驗，這也支持了市場的成長。此外，物聯網 (IoT) 和車聯網 (V2X) 通訊的最新進展為人工智慧整合提供了新途徑，例如先進的遠端資訊處理和遠端車輛控制，正在推動市場成長。此外，對永續性的日益重視正在促進對人工智慧最佳化燃油效率和管理替代燃料系統的需求。

汽車人工智慧市場趨勢/促進因素：

對高階功能不斷成長的需求

消費者對先進功能的需求不斷成長是推動汽車人工智慧（AI）市場成長的一個突出因素。使用者越來越精通技術，這導致對車輛先進功能的期望越來越高，例如自適應巡航控制、自動停車和先進的導航系統。此外，對便利性的追求，尤其是在日常生活中深入接觸科技的年輕人群中，正在推動市場的成長。除此之外，城市中心日益嚴重的擁塞正在促進對具有智慧功能以管理城市駕駛複雜性的車輛的需求。消費者期望的這種轉變給製造商帶來了巨大的壓力，要求他們在汽車設計中採用人工智慧技術，不僅將其作為增值，而且將其作為直接影響購買決策的核心組件。

實施各種政府法規

政府法規在推動人工智慧融入汽車產業方面發揮著越來越重要的作用。道路安全正成為全球最重要的議題，促使當局對車輛實施更嚴格的安全準則和要求。這些指南通常要求納入先進的安全功能，例如防撞系統、車道偏離警告和緊急煞車系統，這些功能嚴重依賴人工智慧技術。此外，監管架構不僅在國家層級制定，而且在各地區之間也日益協調，以在全球範圍內推廣更高的安全標準。此外，該立法具有雙重目的，因為它有助於改善道路安全，並充當汽車行業技術創新的催化劑。除此之外，法規也有效地充當了迫使汽車製造商專注於人工智慧技術研發的外力。

重大技術進步

快速的技術進步對於推動汽車人工智慧市場至關重要。與此一致的是，機器學習（ML）演算法的進步使車輛能夠做出即時決策，從而大幅提高其自主能力。此外，由於先進的感測器技術具有更高的準確性和耐用性，在物體識別和距離測量應用中的結合正在對市場成長產生積極影響。此外，利用資料分析即時處理和解釋大資料集，以進行預測性維護、路線最佳化，甚至提高騎士舒適度，也有助於市場成長。除此之外，技術進步還降低了成本，使得將先進的人工智慧功能整合到更廣泛的車輛中更加經濟可行。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球汽車人工智慧市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按組成部分

  • 硬體
    • 市場走向
    • 市場預測
  • 軟體
    • 市場走向
    • 市場預測
  • 服務
    • 市場走向
    • 市場預測

第 7 章：市場區隔：依技術

  • 機器學習和深度學習
    • 市場走向
    • 市場預測
  • 電腦視覺
    • 市場走向
    • 市場預測
  • 自然語言處理
    • 市場走向
    • 市場預測

第 8 章：市場區隔：依流程

  • 資料探勘
    • 市場走向
    • 市場預測
  • 影像辨識
    • 市場走向
    • 市場預測
  • 訊號識別
    • 市場走向
    • 市場預測

第 9 章：市場區隔：按應用

  • 半自主
    • 市場走向
    • 市場預測
  • 自主性
    • 市場走向
    • 市場預測

第 10 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 市場走向
    • 市場細分：按國家/地區
    • 市場預測

第 11 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 12 章：價值鏈分析

第 13 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 14 章：價格分析

第15章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • Bayerische Motoren Werke AG
    • Daimler AG
    • Ford Motor Company
    • Hyundai Motor Company
    • Intel Corporation
    • International Business Machines Corporation
    • Micron Technology Inc.
    • Microsoft Corporation
    • NVIDIA Corporation
    • Qualcomm Incorporated
    • Tesla Inc.
    • Toyota Motor Corporation
    • Uber Technologies Inc.
Product Code: SR112024A5824

The global automotive artificial intelligence market size reached US$ 3.9 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 33.9 Billion by 2032, exhibiting a growth rate (CAGR) of 26.6% during 2024-2032. The escalating consumer demand for advanced features, imposition of various government regulations, significant technological advancements, rapid cost reduction in sensor technology, growing demand for artificial intelligence (AI) in traffic management, and increasing emphasis on sustainability are some of the major factors propelling the market.

Automotive artificial intelligence (AI) refers to the integration of technology within vehicles to enhance their functionalities, safety, and user experience. It comprises various systems, such as driver assistance, in-car virtual assistants, predictive maintenance, and fully autonomous systems. Automotive AI is widely used in adaptive cruise control, collision avoidance, driver monitoring, voice-activated controls, traffic sign recognition, automated parking, and real-time traffic monitoring. It aids in enhancing safety, increasing efficiency, reducing emission levels, saving time, augmenting traffic flow, improving user experience, and promoting sustainability.

The rapid cost reduction in sensor technology and computing power, which is making AI implementation more financially viable for automotive manufacturers, is positively influencing the market growth. Besides this, the growing demand for AI in traffic management and route optimization owing to the increasing urbanization and subsequent traffic congestion are contributing to the market growth. Furthermore, the rising utilization of AI by automotive manufacturers to enable superior predictive maintenance, real-time decision-making, and personalized user experiences is supporting the market growth. In addition, the recent advancements in the Internet of Things (IoT) and vehicle-to-everything (V2X) communication that are offering new avenues for AI integration, such as advanced telematics and remote vehicle control, are fueling the market growth. Moreover, the increasing emphasis on sustainability is facilitating the demand for AI to optimize fuel efficiency and manage alternative fuel systems.

Automotive Artificial Intelligence Market Trends/Drivers:

The escalating demand for advanced features

The increasing consumer demand for advanced features is a prominent factor propelling the growth of the automotive artificial intelligence (AI) market. Users are becoming increasingly tech-savvy, leading to higher expectations for advanced features in vehicles, such as adaptive cruise control, automated parking, and advanced navigation systems. Furthermore, the push for convenience, especially among younger demographics who are deeply engaged with technology in their daily lives, is fueling the market growth. Apart from this, the growing congestion in urban centers is facilitating the demand for vehicles that offer intelligent features to manage the complexities of city driving. This shift in consumer expectations puts considerable pressure on manufacturers to adopt AI technologies in automotive design, not merely as a value-add but as a core component that directly influences purchasing decisions.

The imposition of various government regulations

Government regulations are playing an increasingly critical role in driving the incorporation of AI in the automotive sector. Road safety is becoming a paramount concern across the globe, prompting authorities to impose stricter safety guidelines and requirements for vehicles. These guidelines often mandate the incorporation of advanced safety features, such as collision avoidance systems, lane-departure warnings, and emergency braking systems, which rely heavily on AI technologies. Furthermore, regulatory frameworks are not just being developed at a national level but are also increasingly harmonized across regions to promote higher safety standards globally. Moreover, the legislation serves dual purposes, as it aids in improving road safety and acts as a catalyst for technological innovation within the automotive industry. Besides this, the regulations effectively act as an external force that compels automakers to focus on research and development (R&D) in AI technologies.

The significant technological advancements

Rapid technological advancements are pivotal in propelling the automotive AI market. In line with this, the progress in machine learning (ML) algorithms has enabled vehicles to make real-time decisions, thereby drastically improving their autonomous capabilities. Furthermore, the incorporation of advanced sensor technologies in object recognition and distance measurement applications, owing to their higher accuracy and durability, is positively influencing the market growth. Moreover, the utilization of data analytics to process and interpret large data sets in real-time for predictive maintenance, route optimization, and even rider comfort is contributing to the market growth. Besides this, technological advancements have resulted in cost reduction, making it more economically viable to integrate advanced AI features into a broader range of vehicles.

Automotive Artificial Intelligence Industry Segmentation:

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

Breakup by Component:

Hardware

Software

Services

Hardware dominates the market

The report has provided a detailed breakup and analysis of the market based on component. This includes hardware, software, and services. According to the report, hardware represented the largest segment.

Hardware is dominating the market as the foundational capabilities for AI in vehicles stem from advanced hardware components, such as sensors, cameras, light detection and ranging (LiDAR), and central processing units (CPUs). These elements are essential for the collection and initial processing of real-time data, which is then used by AI algorithms for decision-making. Furthermore, the ever-increasing complexity and capabilities of AI algorithms, which require more robust and specialized hardware for optimal performance, are positively influencing the market growth. Additionally, the hardware serves as the backbone that enables the functionalities of various AI-based technologies, such as machine vision, spatial awareness, and real-time analytics. Moreover, compared to software, which can often be updated remotely to add new features, hardware requires a physical change in the component, making it a more stable but also critical investment.

Breakup by Technology:

Machine Learning and Deep Learning

Computer Vision

Natural Language Processing

A detailed breakup and analysis of the market based on the technology has also been provided in the report. This includes machine learning and deep learning, computer vision, and natural language processing.

Machine learning (ML) and deep learning are dominating the market due to their capability to facilitate real-time decision-making and predictive analysis, which are essential in modern vehicular applications. Furthermore, they can process vast quantities of data and learn from it, enabling features, such as adaptive cruise control, collision avoidance, and predictive maintenance. In addition, they can operate in sync with sensor technologies, such as LiDAR, radio detecting and ranging (RADAR), and cameras, thereby providing a comprehensive and integrated approach to vehicle automation.

Computer vision is witnessing significant growth due to its indispensable role in enabling real-time perception and decision-making capabilities, which is essential for various critical applications in automotive AI, including object detection, lane departure warning, and collision avoidance systems. Furthermore, the escalating adoption of computer vision to meet regulatory requirements regarding the safety of vehicles and pedestrians is favoring the market growth. Additionally, computer vision offers seamless integration with sensor fusion technologies, which combine data from different sensors like radars and LiDAR, to offer a more comprehensive understanding of the vehicle's surroundings.

Breakup by Process:

Data Mining

Image Recognition

Signal Recognition

Data mining hold the largest share in the market

A detailed breakup and analysis of the market based on the process has also been provided in the report. This includes data mining, image recognition, and signal recognition. According to the report, data mining accounted for the largest market share.

Data mining is dominating the market due to its critical role in extracting valuable insights from vast amounts of data generated by modern vehicles. These insights serve as the foundation for many AI-based features, such as predictive maintenance and real-time decision-making. Furthermore, data mining techniques help to identify vehicle performance data, driver behavior, environmental conditions, and patterns and correlations that can be translated into actionable insights or improvements in AI algorithms. Besides this, it can analyze both structured and unstructured data, offering a comprehensive understanding of vehicle operations and user experiences. Moreover, data mining enables predictive analytics, which is one of the most promising applications in automotive AI. In addition, it is also essential for optimizing routing algorithms, improving fuel efficiency, and minimizing emissions, which are key objectives for modern vehicles.

Breakup by Application:

Semi-Autonomous

Autonomous

Semi-autonomous hold the largest share in the market

A detailed breakup and analysis of the market based on the application has also been provided in the report. This includes semi-autonomous and autonomous. According to the report, semi-autonomous accounted for the largest market share.

The semi-autonomous is dominating the market as it offers enhanced safety features, such as lane departure warnings, adaptive cruise control, and emergency braking, that are easier to integrate into vehicles and have gained regulatory approval in many jurisdictions. Furthermore, several consumers are still skeptical about relinquishing full control to a machine. In line with this, semi-autonomous features allow drivers to experience the benefits of AI while retaining control over the vehicle. Moreover, semi-autonomous features can be integrated into vehicles at a fraction of the cost, making them more economically viable for both manufacturers and consumers. Additionally, the rapid rate of technological advancements in AI and machine learning (ML) algorithms, which allow for continuous upgrades in semi-autonomous systems, is supporting the market growth.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest automotive artificial intelligence market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America hosts a large number of technology companies that are at the forefront of AI and automotive innovation. In addition, regional consumers are known for their early adoption of new technologies due to high average income levels. Furthermore, the imposition of various regulations by the regional governments that are conducive to the development and integration of AI technologies in the automotive sector is positively influencing the market growth. Besides this, the region is witnessing high levels of investment in research and innovation activities from government bodies and private organizations to accelerate the pace of innovation and implementation of AI features in vehicles. Moreover, the presence of world-class universities and research institutions in North America, which contributes to a highly skilled workforce that is adept at advanced technologies, including AI, is boosting the market growth.

Competitive Landscape:

Leading companies are developing more sophisticated AI algorithms to enhance autonomous driving capabilities and optimize vehicle operations. Furthermore, they are collaborating with other industry stakeholders to bring together expertise in hardware and software, creating synergies that drive the rapid development of automotive AI technologies. Besides this, top players are extensively utilizing data analytics to improve their products and refine their AI algorithms. Moreover, key players are engaging with consumers to understand what features are most desired and aim to incorporate these in their offerings. They are also adapting their technologies for different markets and driving conditions around the world, which assists them in addressing a broad spectrum of consumer needs and regulatory requirements. Moreover, companies are aligning their AI technologies with sustainability goals, developing solutions that contribute to fuel efficiency and reduced carbon emissions.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Bayerische Motoren Werke AG

Daimler AG

Ford Motor Company

Hyundai Motor Company

Intel Corporation

International Business Machines Corporation

Micron Technology Inc.

Microsoft Corporation

NVIDIA Corporation

Qualcomm Incorporated

Tesla Inc.

Toyota Motor Corporation

Uber Technologies Inc.

Recent Developments:

In March 2023, Daimler AG announced that it had signed an agreement to acquire Algolux, an AI company known for its expertise in machine learning (ML) and computer vision.

In March 2023, Ford Motor Company established Latitude AI, a subsidiary, to develop new automated driving technologies.

In August 2023, Hyundai Motor Company and Kia announced an investment of US$ 50 million in a Canadian AI semiconductor company to integrate AI into their future vehicle models.

Key Questions Answered in This Report

  • 1. How big is the global automotive artificial intelligence market?
  • 2. What is the expected growth rate of the global automotive artificial intelligence market during 2024-2032?
  • 3. What are the key factors driving the global automotive artificial intelligence market?
  • 4. What has been the impact of COVID-19 on the global automotive artificial intelligence market?
  • 5. What is the breakup of the global automotive artificial intelligence market based on the component?
  • 6. What is the breakup of the global automotive artificial intelligence market based on the process?
  • 7. What is the breakup of the global automotive artificial intelligence market based on the application?
  • 8. What are the key regions in the global automotive artificial intelligence market?
  • 9. Who are the key players/companies in the global automotive artificial intelligence 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 Automotive Artificial Intelligence Market

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

6 Market Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 Machine Learning and Deep Learning
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Computer Vision
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Natural Language Processing
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast

8 Market Breakup by Process

  • 8.1 Data Mining
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Image Recognition
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Signal Recognition
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Application

  • 9.1 Semi-Autonomous
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Autonomous
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Bayerische Motoren Werke AG
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
      • 15.3.1.4 SWOT Analysis
    • 15.3.2 Daimler AG
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Ford Motor Company
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 Hyundai Motor Company
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 Financials
      • 15.3.4.4 SWOT Analysis
    • 15.3.5 Intel Corporation
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 International Business Machines Corporation
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Micron Technology Inc.
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Microsoft Corporation
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 NVIDIA Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Qualcomm Incorporated
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
    • 15.3.11 Tesla Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 Financials
      • 15.3.11.4 SWOT Analysis
    • 15.3.12 Toyota Motor Corporation
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 Uber Technologies Inc.
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
      • 15.3.13.3 Financials
      • 15.3.13.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Automotive Artificial Intelligence Market: Major Drivers and Challenges
  • Figure 2: Global: Automotive Artificial Intelligence Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Automotive Artificial Intelligence Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Automotive Artificial Intelligence Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Automotive Artificial Intelligence Market: Breakup by Technology (in %), 2023
  • Figure 6: Global: Automotive Artificial Intelligence Market: Breakup by Process (in %), 2023
  • Figure 7: Global: Automotive Artificial Intelligence Market: Breakup by Application (in %), 2023
  • Figure 8: Global: Automotive Artificial Intelligence Market: Breakup by Region (in %), 2023
  • Figure 9: Global: Automotive Artificial Intelligence (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Automotive Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Automotive Artificial Intelligence (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Automotive Artificial Intelligence (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Automotive Artificial Intelligence (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Automotive Artificial Intelligence (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Automotive Artificial Intelligence (Computer Vision) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Automotive Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Automotive Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Automotive Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Automotive Artificial Intelligence (Data Mining) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Automotive Artificial Intelligence (Data Mining) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Automotive Artificial Intelligence (Image Recognition) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Automotive Artificial Intelligence (Image Recognition) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Automotive Artificial Intelligence (Signal Recognition) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Automotive Artificial Intelligence (Signal Recognition) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Automotive Artificial Intelligence (Autonomous) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Automotive Artificial Intelligence (Autonomous) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: North America: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: North America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: United States: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: United States: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Canada: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Canada: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Asia-Pacific: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Asia-Pacific: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: China: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: China: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Japan: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Japan: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: India: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: India: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: South Korea: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: South Korea: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: Australia: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: Australia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: Indonesia: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: Indonesia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: Others: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Europe: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Europe: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Germany: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Germany: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: France: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: France: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: United Kingdom: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: United Kingdom: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: Italy: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: Italy: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Spain: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Spain: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Russia: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Russia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Others: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Latin America: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Latin America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Brazil: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Brazil: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Mexico: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Mexico: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Others: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Middle East and Africa: Automotive Artificial Intelligence Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Middle East and Africa: Automotive Artificial Intelligence Market: Breakup by Country (in %), 2023
  • Figure 79: Middle East and Africa: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Global: Automotive Artificial Intelligence Industry: SWOT Analysis
  • Figure 81: Global: Automotive Artificial Intelligence Industry: Value Chain Analysis
  • Figure 82: Global: Automotive Artificial Intelligence Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Automotive Artificial Intelligence Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 4: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Process (in Million US$), 2024-2032
  • Table 5: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 6: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Automotive Artificial Intelligence Market: Competitive Structure
  • Table 8: Global: Automotive Artificial Intelligence Market: Key Players