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市场调查报告书
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汽车人工智慧市场报告（按组件、技术、流程、应用和地区）2025-2033

Automotive Artificial Intelligence Market Report by Component, Technology, Process, Application, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 149 Pages | 商品交期: 2-3个工作天内

价格

2024年全球汽车人工智慧市场规模达50亿美元。展望未来， IMARC Group预计到2033年市场规模将达到473亿美元，2025-2033年期间的成长率（CAGR）为25.3%。交通管理和路线优化的日益增长的需求正在推动市场成长。目前，北美凭藉强大的技术基础设施和先进汽车解决方案采用的快速成长，占据最大的市场份额。

汽车人工智慧 (AI) 是指将技术整合到车辆中以增强其功能、安全性和用户体验。它包括各种系统，例如驾驶辅助、车载虚拟助理、预测性维护和全自动系统。汽车人工智慧广泛应用于自适应巡航控制、防撞、驾驶员监控、语音控制、交通标誌识别、自动停车和即时交通监控。它有助于提高安全性、提高效率、降低排放水平、节省时间、增加交通流量、改善用户体验和促进永续发展。

感测器技术和运算能力成本的快速降低，使得汽车製造商实施人工智慧在经济上更加可行，对市场成长产生了积极影响。除此之外，由于城市化进程加快和随之而来的交通拥堵，交通管理和路线优化对人工智慧的需求不断增长，也促进了市场的成长。此外，汽车製造商越来越多地利用人工智慧来实现卓越的预测性维护、即时决策和个人化的用户体验，从而支持市场的成长。此外，物联网 (IoT) 和车对万物 (V2X) 通讯的最新进展为人工智慧整合提供了新途径，例如先进的远端资讯处理和远端车辆控制，从而推动了市场成长。此外，对永续性的日益重视也促进了对人工智慧优化燃料效率和管理替代燃料系统的需求。

汽车人工智慧市场趋势/驱动因素：

高阶功能的需求不断增加

消费者对高阶功能的需求不断增长是推动汽车人工智慧 (AI) 市场成长的一个突出因素。使用者越来越精通技术，对车辆的先进功能（如自适应巡航控制、自动停车和先进导航系统）的期望也越来越高。此外，对便利性的追求，尤其是在日常生活中深度依赖科技的年轻一代，正在推动市场成长。除此之外，城市中心日益严重的交通拥堵也促进了对具有智慧功能以应对城市驾驶复杂性的车辆的需求。消费者期望的这种转变给製造商带来了巨大的压力，要求他们在汽车设计中采用人工智慧技术，这不仅是作为一种附加价值，而是一种直接影响购买决策的核心部件。

实施各种政府法规

政府法规在推动人工智慧融入汽车领域方面发挥着越来越重要的作用。道路安全正成为全球关注的首要议题，促使当局对车辆实施更严格的安全准则和要求。这些指南通常要求添加先进的安全功能，例如防撞系统、车道偏离警告和紧急煞车系统，这些功能严重依赖人工智慧技术。此外，监管框架不仅在国家层级发展，而且在各个地区也日益协调一致，以在全球范围内促进更高的安全标准。此外，该立法具有双重目的，因为它有助于提高道路安全并成为汽车行业技术创新的催化剂。除此之外，这些法规实际上起到了外部力量的作用，迫使汽车製造商专注于人工智慧技术的研发。

重大技术进步

快速的技术进步对于推动汽车人工智慧市场的发展至关重要。同时，机器学习 (ML) 演算法的进步使车辆能够做出即时决策，从而大幅提高其自主能力。此外，由于先进的感测器技术具有更高的准确性和耐用性，将其融入物体识别和距离测量应用中，对市场成长产生了积极的影响。此外，利用资料分析即时处理和解释大型资料集以实现预测性维护、路线优化甚至乘客舒适度，也促进了市场成长。除此之外，技术进步也降低了成本，使得将先进的人工智慧功能整合到更广泛的车辆中更具经济可行性。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

  • 概述
  • 主要行业趋势

第五章：全球汽车人工智慧市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场细分：按组成部分

  • 硬体
  • 软体
  • 服务

第七章：市场区隔：依技术

  • 机器学习和深度学习
  • 电脑视觉
  • 自然语言处理

第八章：市场区隔：依流程

  • 资料探勘
  • 影像辨识
  • 讯号识别

第九章：市场区隔：依应用

  • 半自主
  • 自主

第十章：市场细分：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场区隔：依国家

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 14 章：价格分析

第 15 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • 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: SR112025A5824

The global automotive artificial intelligence market size reached USD 5.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 47.3 Billion by 2033, exhibiting a growth rate (CAGR) of 25.3% during 2025-2033. The growing need for traffic management and route optimization is propelling the market growth. At present, North America holds the largest market share owing to strong technological infrastructure and rapid growth in the adoption of advanced automotive solutions.

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:

Breakup by Component:

  • Hardware
  • Software
  • Services

Hardware dominates the market

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

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

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

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 automotive artificial intelligence market?
  • 2.What is the automotive artificial intelligence market growth?
  • 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.Which are the major companies in the 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
    • 15.5.0 NVIDIA Corporation
      • 15.5.0.1 Company Overview
      • 15.5.0.2 Product Portfolio
      • 15.5.0.3 Financials
      • 15.5.0.4 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 USD), 2019-2024
  • Figure 3: Global: Automotive Artificial Intelligence Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Automotive Artificial Intelligence Market: Breakup by Component (in %), 2024
  • Figure 5: Global: Automotive Artificial Intelligence Market: Breakup by Technology (in %), 2024
  • Figure 6: Global: Automotive Artificial Intelligence Market: Breakup by Process (in %), 2024
  • Figure 7: Global: Automotive Artificial Intelligence Market: Breakup by Application (in %), 2024
  • Figure 8: Global: Automotive Artificial Intelligence Market: Breakup by Region (in %), 2024
  • Figure 9: Global: Automotive Artificial Intelligence (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 10: Global: Automotive Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 11: Global: Automotive Artificial Intelligence (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Automotive Artificial Intelligence (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Automotive Artificial Intelligence (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Automotive Artificial Intelligence (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Automotive Artificial Intelligence (Computer Vision) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Automotive Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Automotive Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Automotive Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Automotive Artificial Intelligence (Data Mining) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Automotive Artificial Intelligence (Data Mining) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Automotive Artificial Intelligence (Image Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Automotive Artificial Intelligence (Image Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Automotive Artificial Intelligence (Signal Recognition) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Automotive Artificial Intelligence (Signal Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Automotive Artificial Intelligence (Autonomous) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Automotive Artificial Intelligence (Autonomous) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: North America: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: North America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: United States: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: United States: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: Canada: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: Canada: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: Asia-Pacific: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: Asia-Pacific: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: China: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: China: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: Japan: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: Japan: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: India: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: India: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: South Korea: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: South Korea: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: Australia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: Australia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: Indonesia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: Indonesia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: Europe: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: Europe: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: Germany: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: Germany: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: France: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: France: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: United Kingdom: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: United Kingdom: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: Italy: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: Italy: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: Spain: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: Spain: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: Russia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: Russia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: Latin America: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: Latin America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: Brazil: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: Brazil: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: Mexico: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: Mexico: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Middle East and Africa: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: Middle East and Africa: Automotive Artificial Intelligence Market: Breakup by Country (in %), 2024
  • Figure 79: Middle East and Africa: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
  • 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, 2024 and 2033
  • Table 2: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Technology (in Million USD), 2025-2033
  • Table 4: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Process (in Million USD), 2025-2033
  • Table 5: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 6: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 7: Global: Automotive Artificial Intelligence Market: Competitive Structure
  • Table 8: Global: Automotive Artificial Intelligence Market: Key Players