汽车人工智慧(AI)市场规模、份额和成长分析(按组件、技术、製程、类型、车辆类型、自动驾驶等级、应用和地区划分)-2026-2033年产业预测
市场调查报告书
商品编码
1899596

汽车人工智慧(AI)市场规模、份额和成长分析(按组件、技术、製程、类型、车辆类型、自动驾驶等级、应用和地区划分)-2026-2033年产业预测

Automotive Artificial Intelligence (AI) Market Size, Share, and Growth Analysis, By Component, By Technology, By Process, By Type, By Vehicle Type, By Level of Autonomy, By Application, By Region - Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

价格
简介目录

全球汽车人工智慧(AI)市场规模预计在 2024 年达到 50 亿美元,从 2025 年的 61 亿美元成长到 2033 年的 297.2 亿美元,在预测期(2026-2033 年)内复合年增长率为 21.9%。

全球汽车人工智慧 (AI) 市场正经历显着成长,这主要得益于对先进技术的需求,以增强其类人能力,例如语言处理、推理和学习。儘管面临许多科学挑战,製造商仍在积极改进和调整其创新技术。汽车产业认识到人工智慧的变革潜力,已在利用该技术优化流程、提高安全性和效率方面占据主导地位。人工智慧的整合不仅有助于提高营运效率,还能改善使用者体验,凸显了人工智慧在塑造汽车产业未来发展中的关键作用。随着产业的演进,人工智慧有望成为弥合人类智慧与机器智慧之间鸿沟的变革力量。

全球汽车人工智慧(AI)市场驱动因素

随着消费者对科技进步的了解日益深入,全球汽车人工智慧 (AI) 市场正经历强劲成长。消费者对自动驾驶汽车日益增长的兴趣推动了对高级驾驶辅助系统 (ADAS) 的需求,迫使汽车製造商不断创新,提升车辆性能和安全性。此外,对乘客舒适性和适应性的关注也推动了该细分市场的收入成长,製造商优先考虑将人工智慧整合到汽车系统中,以革新驾驶体验。这种向先进技术的转变反映了汽车产业向更智慧、更安全、更有效率方向发展的更广泛趋势,巩固了人工智慧在汽车产业中的关键地位。

限制全球汽车人工智慧(AI)市场的因素

全球汽车人工智慧(AI)市场面临许多重大挑战,阻碍了其成长潜力。安全问题是关键风险因素,尤其是个人资料保护和网路攻击风险。涉及主要汽车製造商的事件凸显了这些挑战,例如菲亚特克莱斯勒旗下多款车型因软体漏洞而功能受损,以及恶意程式设计师能够将恶意软体注入特斯拉汽车系统。这些消费者安全漏洞凸显了加强保护措施和通讯协定的必要性,最终对汽车产业人工智慧技术的发展和广泛应用构成重大障碍。

全球汽车人工智慧(AI)市场趋势

全球汽车人工智慧 (AI) 市场呈现显着上升趋势,这主要得益于消费者对自动驾驶技术的接受度不断提高以及对道路安全的日益重视。随着消费者寻求减轻驾驶压力、提升舒适度,以及对进阶驾驶辅助系统 (ADAS) 的偏好转变,自动驾驶汽车的需求预计将大幅成长。汽车製造商正积极整合创新 AI 解决方案,以在竞争激烈的市场环境中脱颖而出。此外,不断增长的出行需求与对更佳驾驶体验的追求相融合,进一步巩固了 AI 在汽车行业的关键地位,预示着强劲的市场成长前景。

目录

介绍

  • 调查目标
  • 调查范围
  • 定义

调查方法

  • 资讯收集
  • 二手资料和一手资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 细分市场机会分析

市场动态与展望

  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制与挑战
  • 波特分析

关键市场考察

  • 关键成功因素
  • 竞争程度
  • 关键投资机会
  • 市场生态系统
  • 市场吸引力指数(2025)
  • PESTEL 分析
  • 总体经济指标
  • 价值链分析
  • 定价分析
  • 监管环境
  • 案例研究
  • 技术进步

全球汽车人工智慧(AI)市场规模(按组件和复合年增长率划分)(2026-2033 年)

  • 硬体
  • 软体

全球汽车人工智慧(AI)市场规模(按技术及复合年增长率划分)(2026-2033 年)

  • 深度学习
  • 机器学习
  • 情境感知计算
  • 电脑视觉
  • 自然语言处理
  • 其他的

全球汽车人工智慧(AI)市场规模(按工艺和复合年增长率划分)(2026-2033 年)

  • 讯号识别
  • 影像识别
  • 资料探勘

全球汽车人工智慧(AI)市场规模(按类型和复合年增长率划分)(2026-2033 年)

  • 图形处理器(GPU)
  • 微处理器(包括专用积体电路)
  • 现场可程式闸阵列(FPGA)
  • 记忆体和储存系统
  • 影像感测器
  • 生物识别扫描仪
  • 其他的

全球汽车人工智慧(AI)市场规模(按车型划分)及复合年增长率(2026-2033)

  • 搭乘用车
  • 商用车辆

全球汽车人工智慧(AI)市场规模(按自动驾驶等级和复合年增长率划分)(2026-2033 年)

  • 一级
  • 二级
  • 3级
  • 4级

全球汽车人工智慧(AI)市场规模(按应用及复合年增长率划分)(2026-2033 年)

  • 人机介面
  • 半自动驾驶
  • 自动驾驶
  • 身份验证
  • 驾驶员监控
  • 自动驾驶处理器晶片
  • 其他的

全球汽车人工智慧(AI)市场规模及复合年增长率(2026-2033)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东和非洲地区

竞争资讯

  • 前五大公司对比
  • 主要企业的市场定位(2025 年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市占率分析(2025 年)
  • 主要企业公司简介
    • 公司详情
    • 产品系列分析
    • 依业务板块进行公司股票分析
    • 2023-2025年营收年比比较

主要企业简介

  • Tesla Inc.(United States)
  • Waymo LLC(United States)
  • Nvidia Corporation(United States)
  • Intel Corporation(United States)
  • DiDi Chuxing Technology Co.(China)
  • Uber Technologies Inc.(United States)
  • Horizon Robotics Inc.(China)
  • AEye Inc.(United States)
  • Arbe Robotics Ltd.(Israel)
  • Cerence Inc.(United States)
  • Cognata Ltd.(Israel)
  • Optibus Ltd.(Israel)
  • Pony.ai Inc.(United States)
  • Seeing Machines Ltd.(Australia)
  • UVeye Ltd.(Israel)
  • Scale AI Inc.(United States)
  • XPeng Inc.(China)
  • NIO Inc.(China)
  • WeRide.ai(China)
  • AutoX Inc.(United States)

结论与建议

简介目录
Product Code: SQMIG45A2064

Global Automotive Artificial Intelligence (AI) Market size was valued at USD 5.0 Billion in 2024 and is poised to grow from USD 6.1 Billion in 2025 to USD 29.72 Billion by 2033, growing at a CAGR of 21.9% during the forecast period (2026-2033).

The Global Automotive Artificial Intelligence (AI) market is experiencing significant growth driven by the need for advanced technologies that enhance human-like capabilities such as language processing, reasoning, and learning. Despite facing substantial scientific challenges, manufacturers are actively working to improve and adapt their innovations. The automotive sector recognizes the transformative potential of AI, positioning itself as a leader in leveraging these technologies to optimize processes and improve safety and efficiency. This integration of AI not only streamlines operations but also enhances the user experience, underlining the critical role that artificial intelligence plays in shaping the future of the automotive industry. As the sector evolves, AI promises to be a game-changer, bridging the gap between human and machine intelligence.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Automotive Artificial Intelligence (AI) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Automotive Artificial Intelligence (AI) Market Segments Analysis

Global Automotive Artificial Intelligence (AI) Market is segmented by Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application and region. Based on Component, the market is segmented into Hardware and Software. Based on Technology, the market is segmented into Deep Learning, Machine Learning, Context- aware Computing, Computer Vision, Natural Language Processing and Others. Based on Process, the market is segmented into Signal Recognition, Image Recognition and Data Mining. Based on Type, the market is segmented into Graphics processing unit (GPU), Microprocessors (Incl. ASIC), Field Programmable Gate Array (FPGA), Memory and Storage systems, Image Sensors, Biometric Scanners and Others. Based on Vehicle Type, the market is segmented into Passenger Vehicles and Commercial Vehicles. Based on Level of Autonomy, the market is segmented into Level 1, Level 2, Level 3 and Level 4. Based on Application, the market is segmented into Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, Autonomous Driving Processor Chips and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market is experiencing robust growth driven by consumers who are increasingly informed about technological advancements. The rising interest in self-driving vehicles fuels demand for advanced driver assistance systems, prompting automakers to innovate by enhancing vehicle performance and safety. Additionally, the focus on passenger comfort and adaptability is driving revenue growth within the sector, as manufacturers prioritize the integration of AI to transform the driving experience. This shift towards sophisticated technology reflects a broader trend towards smarter, safer, and more efficient vehicles, solidifying the role of AI as a critical component in the automotive industry.

Restraints in the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market faces several significant challenges that impede its growth potential. Safety and security concerns pose major risks, particularly regarding the protection of personal data and vulnerabilities to cyberattacks. Incidents involving major manufacturers highlight these issues, such as the compromise of functionality in numerous Fiat Chrysler vehicles due to software vulnerabilities, and the infiltration of malware into Tesla car systems by malicious programmers. Such breaches in consumer security underscore the critical need for enhanced safeguards and protocols, ultimately serving as substantial barriers to the advancement and wider adoption of AI technologies within the automotive sector.

Market Trends of the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market is experiencing a significant upward trend driven by heightened consumer acceptance of self-driving technologies and an increasing emphasis on road safety. As preferences shift towards advanced driver-assist systems, demand for self-driving vehicles is poised to surge, reflecting consumers' desire for reduced driving-related stress and enhanced comfort. Automakers are responding strategically by integrating innovative AI solutions to differentiate themselves in a competitive landscape. Furthermore, the convergence of rising mobility needs and the quest for improved driving experience is further solidifying AI's pivotal role in the automotive sector, indicating robust growth prospects in the market.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Regulatory Landscape
  • Case Studies
  • Technological Advancement

Global Automotive Artificial Intelligence (AI) Market Size by Component & CAGR (2026-2033)

  • Market Overview
  • Hardware
  • Software

Global Automotive Artificial Intelligence (AI) Market Size by Technology & CAGR (2026-2033)

  • Market Overview
  • Deep Learning
  • Machine Learning
  • Context- aware Computing
  • Computer Vision
  • Natural Language Processing
  • Others

Global Automotive Artificial Intelligence (AI) Market Size by Process & CAGR (2026-2033)

  • Market Overview
  • Signal Recognition
  • Image Recognition
  • Data Mining

Global Automotive Artificial Intelligence (AI) Market Size by Type & CAGR (2026-2033)

  • Market Overview
  • Graphics processing unit (GPU)
  • Microprocessors (Incl. ASIC)
  • Field Programmable Gate Array (FPGA)
  • Memory and Storage systems
  • Image Sensors
  • Biometric Scanners
  • Others

Global Automotive Artificial Intelligence (AI) Market Size by Vehicle Type & CAGR (2026-2033)

  • Market Overview
  • Passenger Vehicles
  • Commercial Vehicles

Global Automotive Artificial Intelligence (AI) Market Size by Level of Autonomy & CAGR (2026-2033)

  • Market Overview
  • Level 1
  • Level 2
  • Level 3
  • Level 4

Global Automotive Artificial Intelligence (AI) Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Human-Machine Interface
  • Semi-autonomous Driving
  • Autonomous Driving
  • Identity Authentication
  • Driver Monitoring
  • Autonomous Driving Processor Chips
  • Others

Global Automotive Artificial Intelligence (AI) Market Size & CAGR (2026-2033)

  • North America (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • US
    • Canada
  • Europe (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • Tesla Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Waymo LLC (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nvidia Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DiDi Chuxing Technology Co. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Uber Technologies Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Horizon Robotics Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AEye Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Arbe Robotics Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cerence Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cognata Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Optibus Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Pony.ai Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Seeing Machines Ltd. (Australia)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • UVeye Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Scale AI Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • XPeng Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NIO Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • WeRide.ai (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AutoX Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations