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市场调查报告书
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1856860

自动驾驶汽车技术市场预测至2032年：按组件、车辆类型、自动驾驶等级、动力系统、应用、最终用户和地区分類的全球分析

Autonomous Vehicle Technology Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Vehicle Type, Autonomy Level, Drive Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2025 年，全球自动驾驶汽车技术市场规模将达到 816.3 亿美元，到 2032 年将达到 2908.2 亿美元，预测期内复合年增长率为 19.9%。

自动驾驶汽车技术正在重塑未来的出行方式，使汽车能够在无需驾驶员干预的情况下自主运作。这些车辆利用尖端感测器、人工智慧、机器学习和即时数据分析技术，能够安全地应对复杂的交通状况。它们透过减少人为错误、智慧路线规划缓解交通拥堵以及优化燃油消耗，为道路安全做出贡献。车对车 (V2V) 和车对基础设施 (V2I)通讯等互联功能增强了营运智慧。随着技术的进步，自动驾驶汽车有望彻底改变城市交通、货运和公共交通，提供高效、环保且便利的出行解决方案。然而，其在全球范围内的普及应用仍需遵守不断变化的法规、安全标准和伦理规范。

根据美国运输部) 的说法，自动驾驶汽车有可能将交通事故死亡人数减少高达 94%，因为大多数事故都是人为错误造成的。

拥抱人工智慧和机器学习

机器学习和人工智慧正透过赋予汽车自适应学习和决策能力，推动自动驾驶汽车产业的发展。这些系统使车辆能够精准地侦测物体、优化路线、预测交通模式，并有效应对突发事件。人工智慧演算法的不断改进提升了安全性、效率和整体驾驶性能。人工智慧还支援预测性车辆维护、能源管理和个人化乘客体验。透过最大限度地减少人为干预并提高可靠性，这些技术实现了可扩展的自动驾驶出行解决方案。人工智慧和机器学习被视为不断发展的自动驾驶汽车市场中至关重要的成长动力。

高昂的开发和实施成本

开发和部署自动驾驶汽车技术的高昂成本是限制市场发展的主要因素。尖端人工智慧系统、感测器、运算单元和专用软体都需要大量的资金投入，使得自动驾驶汽车的价格高于传统汽车。巨额的研发、测试和系统整合成本进一步延缓了自动驾驶汽车的大规模普及。维护和技术升级也会增加营运成本，从而阻碍小型企业和个人购买自动驾驶汽车。儘管自动驾驶汽车有望带来许多好处，例如提高燃油效率和安全性，但领先成本仍然是一个巨大的障碍。透过技术创新和扩大生产规模来实现成本效益高的解决方案，对于自动驾驶汽车市场的广泛应用和持续成长至关重要。

人工智慧和连接技术的进步

人工智慧、机器学习和车联网系统的进步为自动驾驶汽车带来了巨大的成长机会。先进的人工智慧技术能够提昇路线规划、决策和即时交通分析能力，从而确保更安全、更有效率的运作。车对车（V2V）和车对工业（V2I）通讯使车辆能够共用数据、协调行驶，并缓解交通拥堵。 5G网路和物联网平台的整合进一步支援了快速资料处理、预测性洞察和智慧移动服务。这些进步使自动驾驶汽车能够在复杂的都市区中高效运行，优化车辆运行，并提升使用者体验。人工智慧和互联技术的持续创新正在推动全球市场的扩张，并加速各行业对自动驾驶汽车的采用。

技术限制和系统故障

技术限制和潜在的系统故障对自动驾驶汽车产业构成严重风险。即使配备了先进的人工智慧、感测器和通讯网络，自动驾驶汽车在极端天气、复杂交通状况和不可预测的环境中仍可能遇到困难。硬体故障、软体错误和连接问题都可能导致事故、延误和服务中断。在罕见或极端情况下，效能限制可能会影响安全性和可靠性。製造商必须确保自动驾驶系统稳健可靠、安全无虞，并且能够应付各种实际环境。持续存在的技术挑战可能会降低消费者信任度、增加法律风险、延缓普及，并对自动驾驶汽车的持续成长和市场接受度构成重大威胁。

新冠疫情的影响：

新冠疫情对自动驾驶汽车市场产生了显着影响，既带来了挑战，也带来了机会。封锁、旅行限制和供应链中断延缓了生产、测试和研发，导致成长放缓。消费者出行模式的不确定性降低了自动驾驶交通解决方案的投资。另一方面，疫情也凸显了自动驾驶汽车在非接触式客运、药品供应和保障健康和安全的基本服务方面的价值。越来越多的企业开始考虑采用自动驾驶系统来减少人为干预并维持营运。疫情虽然阻碍了短期发展，但也强化了自动驾驶汽车技术的重要性，促进了创新和韧性供应链的构建，加速了技术的长期应用和全球市场扩张。

预计在预测期内，硬体板块将成为最大的板块。

预计在预测期内，硬体领域将占据最大的市场份额，成为自动驾驶汽车技术的基础。感测器、光达、雷达系统、摄影机和处理单元等关键组件使车辆能够感知周围环境、高效导航并做出即时决策。硬体可靠性、性能和整合度的持续提升，提高了车辆的安全性和驾驶效率。汽车製造商和技术供应商正致力于开发能够支援复杂人工智慧演算法和自动驾驶功能的耐用、高精度组件。作为自动驾驶汽车系统的骨干，硬体支撑着软体平台和服务解决方案，确保系统平稳可靠地运作。其市场发展将在推动自动驾驶技术发展和扩大其在多种应用场景中的市场应用方面发挥核心作用。

预计在预测期内，商用车细分市场将以最高的复合年增长率成长。

预计在预测期内，商用车领域将实现最高成长率，这主要得益于市场对自动化、高效、可靠的运输解决方案日益增长的需求。卡车、送货车和货运车辆的自动驾驶技术有助于优化行驶路线、降低油耗并消除驾驶者操作失误，进而提升营运效率。为了应对劳动力短缺、简化供应链并满足不断增长的电子商务物流需求，企业正越来越多地部署自动驾驶商用车队。与车辆管理工具和预测服务的深度整合进一步提高了效率和运转率。随着运输和物流产业拥抱自动化和数位转型，商用车领域蕴藏着巨大的机会，将加速自动驾驶技术在全球市场的普及应用。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这得益于其完善的基础设施、汽车创新技术的广泛应用以及在研发领域的巨额投入。该地区拥有众多大型汽车製造商、科技公司和新兴企业，它们正积极推动自动驾驶解决方案的发展。政府透过倡议、资助计画和先导计画提供的支持将促进自动驾驶汽车的快速部署。消费者对新型出行解决方案的高度认知和接受度将推动个人和商用车市场的成长。产业相关人员和研究机构之间的合作将进一步加速创新和商业化进程，使北美成为全球自动驾驶汽车技术发展的关键市场和中心枢纽。

复合年增长率最高的地区：

亚太地区预计将在预测期内保持最高的复合年增长率，这主要得益于快速的城市化进程、不断增长的可支配收入以及对互联智能出行解决方案日益增长的需求。包括中国、日本和韩国在内的多个国家正在大力投资自动驾驶汽车的研究、试验计画以及配套基础设施建设，以促进创新。该地区新兴的科技公司和新兴企业专注于人工智慧、倡议技术和电动出行，正在加速市场对自动驾驶汽车的接受度。对智慧城市建设、公共交通现代化和自动化物流的投资也将进一步推动成长。有利的监管环境、技术的进步以及消费者接受度的不断提高，使亚太地区成为自动驾驶汽车技术发展的领先区域。

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    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
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    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究资讯来源
    • 初级研究资讯来源
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球自动驾驶汽车技术市场（按组件划分）

  • 硬体
  • 软体
  • 服务

6. 全球自动驾驶汽车技术市场（依车辆类型划分）

  • 搭乘用车
  • 商用车辆
  • 公共运输
  • 工业/多用途车辆

7. 全球自动驾驶汽车技术市场（以自动驾驶等级划分）

  • 一级（驾驶辅助）
  • 二级（部分自动化）
  • 3级（条件自动化）
  • 4级（高度自动化）
  • 5级（全自动）

8. 全球自动驾驶汽车技术市场（以驱动方式划分）

  • 内燃机（ICE）
  • 混合动力电动车（HEV）
  • 电池电动车（BEV）
  • 燃料电池电动车（FCEV）

9. 全球自动驾驶汽车技术市场（按应用划分）

  • 个人出行
  • 物流和配送
  • 国防/安全
  • 工业自动化
  • 叫车服务及无人驾驶计程车

第十章 全球自动驾驶汽车技术市场（依最终用户划分）

  • 个人消费者
  • 车队营运商
  • 地方政府
  • 国防部
  • 技术开发人员

第十一章：全球自动驾驶汽车技术市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • Audi AG
  • BMW AG
  • Daimler AG（Mercedes-Benz Group）
  • Ford Motor Company
  • General Motors Company
  • Google LLC（Waymo）
  • Honda Motor Co., Ltd.
  • Nissan Motor Company
  • Tesla
  • Toyota Motor Corporation
  • Uber Technologies, Inc.
  • Volvo Car Corporation
  • Volkswagen AG
  • Nuro, Inc.
  • Pony.ai
Product Code: SMRC31732

According to Stratistics MRC, the Global Autonomous Vehicle Technology Market is accounted for $81.63 billion in 2025 and is expected to reach $290.82 billion by 2032 growing at a CAGR of 19.9% during the forecast period. Autonomous Vehicle Technology is reshaping the future of mobility by allowing cars to function independently without driver input. Utilizing cutting-edge sensors, AI, machine learning, and instant data analysis, these vehicles can safely navigate complex traffic scenarios. They contribute to safer roads by minimizing human mistakes, reduce congestion through intelligent routing, and optimize fuel consumption. Connectivity features like vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication enhance operational intelligence. As the technology progresses, autonomous vehicles are poised to revolutionize urban transportation, freight delivery, and public transit, providing efficient, eco-friendly, and convenient travel solutions. Global adoption is influenced by evolving regulations, safety standards, and ethical considerations.

According to the U.S. Department of Transportation (NHTSA), autonomous vehicles have the potential to reduce traffic fatalities by up to 94%, as human error is a contributing factor in the vast majority of crashes.

Market Dynamics:

Driver:

Adapting artificial intelligence and machine learning

Machine learning and artificial intelligence drive the autonomous vehicle sector by equipping cars with adaptive learning and decision-making capabilities. These systems allow vehicles to detect objects accurately, optimize routes, predict traffic patterns, and respond effectively to unexpected events. Continuous refinement of AI algorithms improves safety, efficiency, and overall driving performance. AI also supports predictive vehicle maintenance, energy management, and tailored passenger experiences. By minimizing the need for human involvement and enhancing reliability, these technologies enable scalable autonomous mobility solutions. Their implementation across automotive platforms is crucial for realizing fully autonomous operations, positioning AI and ML as fundamental growth enablers in the evolving autonomous vehicle market.

Restraint:

High development and implementation costs

The substantial expenses associated with developing and deploying autonomous vehicle technology pose a major market restraint. Cutting-edge AI systems, sensors, computing units, and specialized software require large financial outlays, leading to higher vehicle prices than traditional automobiles. Extensive costs for research, testing, and system integration further slow mass adoption. Maintenance and technology upgrades also increase operational expenditures, deterring smaller companies and individual buyers. While autonomous vehicles promise future benefits such as improved fuel efficiency and safety, upfront costs remain a critical hurdle. Achieving cost-effective solutions through technological innovation and scaling production is essential for wider adoption and sustainable growth in the autonomous vehicle market.

Opportunity:

Advancements in artificial intelligence and connectivity

Progress in artificial intelligence, machine learning, and connected vehicle systems offers substantial growth opportunities for autonomous vehicles. Sophisticated AI enhances route planning, decision-making, and real-time traffic analysis, ensuring safer and more efficient operation. V2V and V2I communication enable vehicles to share data, coordinate movements, and alleviate traffic congestion. The integration of 5G networks and IoT platforms further supports rapid data processing, predictive insights, and intelligent mobility services. These advancements allow autonomous vehicles to function effectively in complex urban areas, optimize fleet operations, and deliver enhanced user experiences. Continuous innovation in AI and connectivity is driving global market expansion and accelerating autonomous vehicle adoption across industries.

Threat:

Technological limitations and system failures

Technological constraints and potential system failures pose a serious risk to the autonomous vehicle industry. Even with sophisticated AI, sensors, and communication networks, self-driving vehicles can encounter difficulties in extreme weather, complex traffic, or unpredictable situations. Hardware faults, software errors, or connectivity issues may cause accidents, delays, or operational interruptions. Limited performance in rare or edge-case scenarios can compromise safety and reliability. Manufacturers must ensure that autonomous systems are robust, fail-safe, and capable of handling diverse real-world conditions. Ongoing technological challenges may reduce consumer trust, elevate legal risks, and slow adoption, presenting significant threats to the sustainable growth and market acceptance of autonomous vehicles.

Covid-19 Impact:

The COVID-19 outbreak had a notable impact on the autonomous vehicle market, presenting both obstacles and prospects. Lockdowns, travel restrictions, and supply chain interruptions delayed production, testing, and development, leading to slower growth. Uncertainty in consumer mobility patterns reduced investments in autonomous transport solutions. Conversely, the pandemic underscored the value of self-driving vehicles for contactless passenger transport, medical supply delivery, and essential services, emphasizing health and safety. Businesses increasingly considered autonomous systems to reduce human interaction and maintain operations. Although immediate progress was disrupted, the pandemic has reinforced the importance of autonomous technology, fostering innovation, resilient supply networks, and accelerating long-term adoption and market expansion globally.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period, serving as the essential foundation for self-driving technology. Key elements such as sensors, LiDAR, radar systems, cameras, and processing units enable vehicles to perceive their surroundings, navigate effectively, and make real-time decisions. Ongoing improvements in hardware reliability, performance, and integration increase vehicle safety and operational efficiency. Automakers and tech providers focus on creating durable, high-precision components capable of supporting complex AI algorithms and autonomous functions. As the backbone of autonomous vehicle systems, hardware underpins software platforms and service solutions, ensuring smooth, dependable operations. Its development is central to advancing autonomous mobility and expanding market adoption across multiple applications.

The commercial vehicles segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the commercial vehicles segment is predicted to witness the highest growth rate due to rising needs for automated, efficient, and reliable transportation solutions. Autonomous technology in trucks, delivery vans, and freight vehicles helps optimize travel routes, lower fuel usage, and reduce driver-related errors, boosting operational performance. Businesses are increasingly deploying self-driving commercial fleets to tackle workforce shortages, streamline supply chains, and accommodate growing e-commerce logistics. Advanced integration with fleet management tools and predictive servicing enhances efficiency and uptime. With the transportation and logistics sectors embracing automation and digital innovation, commercial vehicles represent a key opportunity, propelling accelerated adoption of autonomous vehicle technology across global markets.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its robust infrastructure, widespread adoption of automotive innovations, and substantial investment in research and development. The region benefits from a strong presence of major automotive manufacturers, technology companies, and startups that are advancing autonomous driving solutions. Government support through initiatives, funding programs, and pilot projects facilitates faster deployment of self-driving vehicles. High consumer awareness and willingness to adopt new mobility solutions drive growth across personal and commercial vehicle segments. Partnerships between industry players and research institutions further accelerate innovation and commercialization, establishing North America as the leading market and central hub for autonomous vehicle technology development on a global scale.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urban growth, higher disposable incomes, and a rising need for connected and intelligent mobility solutions. Countries including China, Japan, and South Korea are investing heavily in autonomous vehicle research, pilot programs, and supporting infrastructure to foster innovation. The region's emerging technology firms and startups focusing on AI, sensor technology, and electric mobility accelerate market adoption. Investments in smart city initiatives, modernization of public transportation, and automated logistics further contribute to growth. Favorable regulations, technological progress, and increasing consumer acceptance make Asia-Pacific the leading region in terms of growth rate for autonomous vehicle technology.

Key players in the market

Some of the key players in Autonomous Vehicle Technology Market include Audi AG, BMW AG, Daimler AG (Mercedes-Benz Group), Ford Motor Company, General Motors Company, Google LLC (Waymo), Honda Motor Co., Ltd., Nissan Motor Company, Tesla, Toyota Motor Corporation, Uber Technologies, Inc., Volvo Car Corporation, Volkswagen AG, Nuro, Inc. and Pony.ai.

Key Developments:

In March 2025, Ford Trucks and IVECO announced Tuesday the signing of a binding Joint Development Agreement (JDA) for designing and engineering a new cabin for heavy-duty trucks, through total expenditure valued at nearly $374 million. IVECO is the brand of Italian transport vehicle manufacturing giant Iveco Group that designs, manufactures and markets light, medium and heavy commercial vehicles.

In October 2024, Daimler Truck and Volvo Group intend to create a joint venture to develop a common software-defined vehicle platform and dedicated truck operating system, providing the basis for future software-defined commercial vehicles. The two leading companies in the commercial vehicle industry have now signed a binding agreement to establish the joint venture and are working towards setting up the company that will be headquartered in Gothenburg, Sweden.

In April 2024, BMW Group and Tata Technologies aim to collaborate for the development of Automotive Software and Business IT solutions. The new Joint Venture (JV) will deliver automotive software, including software-defined vehicle (SDV) solutions for BMW Group's premium vehicles and digital transformation solutions for its business IT +++ The JV will commence operations with 100 employees and intends to grow to a four-digit number in the following years +++ JV is to become part of BMW Group's global network of software and IT hubs.

Components Covered:

  • Hardware
  • Software
  • Services

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Public Transport Vehicles
  • Industrial/Utility Vehicles

Autonomy Levels Covered:

  • Level 1 (Driver Assistance)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Drive Types Covered:

  • Internal Combustion Engine (ICE)
  • Hybrid Electric Vehicles (HEV)
  • Battery Electric Vehicles (BEV)
  • Fuel Cell Electric Vehicles (FCEV)

Applications Covered:

  • Personal Mobility
  • Logistics & Delivery
  • Defense & Security
  • Industrial Automation
  • Ride-Hailing & Robo-Taxis

End Users Covered:

  • Individual Consumers
  • Fleet Operators
  • Municipalities
  • Defense Agencies
  • Technology Developers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Vehicle Technology Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Autonomous Vehicle Technology Market, By Vehicle Type

  • 6.1 Introduction
  • 6.2 Passenger Vehicles
  • 6.3 Commercial Vehicles
  • 6.4 Public Transport Vehicles
  • 6.5 Industrial/Utility Vehicles

7 Global Autonomous Vehicle Technology Market, By Autonomy Level

  • 7.1 Introduction
  • 7.2 Level 1 (Driver Assistance)
  • 7.3 Level 2 (Partial Automation)
  • 7.4 Level 3 (Conditional Automation)
  • 7.5 Level 4 (High Automation)
  • 7.6 Level 5 (Full Automation)

8 Global Autonomous Vehicle Technology Market, By Drive Type

  • 8.1 Introduction
  • 8.2 Internal Combustion Engine (ICE)
  • 8.3 Hybrid Electric Vehicles (HEV)
  • 8.4 Battery Electric Vehicles (BEV)
  • 8.5 Fuel Cell Electric Vehicles (FCEV)

9 Global Autonomous Vehicle Technology Market, By Application

  • 9.1 Introduction
  • 9.2 Personal Mobility
  • 9.3 Logistics & Delivery
  • 9.4 Defense & Security
  • 9.5 Industrial Automation
  • 9.6 Ride-Hailing & Robo-Taxis

10 Global Autonomous Vehicle Technology Market, By End User

  • 10.1 Introduction
  • 10.2 Individual Consumers
  • 10.3 Fleet Operators
  • 10.4 Municipalities
  • 10.5 Defense Agencies
  • 10.6 Technology Developers

11 Global Autonomous Vehicle Technology Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Audi AG
  • 13.2 BMW AG
  • 13.3 Daimler AG (Mercedes-Benz Group)
  • 13.4 Ford Motor Company
  • 13.5 General Motors Company
  • 13.6 Google LLC (Waymo)
  • 13.7 Honda Motor Co., Ltd.
  • 13.8 Nissan Motor Company
  • 13.9 Tesla
  • 13.10 Toyota Motor Corporation
  • 13.11 Uber Technologies, Inc.
  • 13.12 Volvo Car Corporation
  • 13.13 Volkswagen AG
  • 13.14 Nuro, Inc.
  • 13.15 Pony.ai

List of Tables

  • Table 1 Global Autonomous Vehicle Technology Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Vehicle Technology Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Autonomous Vehicle Technology Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Autonomous Vehicle Technology Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Autonomous Vehicle Technology Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Autonomous Vehicle Technology Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 7 Global Autonomous Vehicle Technology Market Outlook, By Passenger Vehicles (2024-2032) ($MN)
  • Table 8 Global Autonomous Vehicle Technology Market Outlook, By Commercial Vehicles (2024-2032) ($MN)
  • Table 9 Global Autonomous Vehicle Technology Market Outlook, By Public Transport Vehicles (2024-2032) ($MN)
  • Table 10 Global Autonomous Vehicle Technology Market Outlook, By Industrial/Utility Vehicles (2024-2032) ($MN)
  • Table 11 Global Autonomous Vehicle Technology Market Outlook, By Autonomy Level (2024-2032) ($MN)
  • Table 12 Global Autonomous Vehicle Technology Market Outlook, By Level 1 (Driver Assistance) (2024-2032) ($MN)
  • Table 13 Global Autonomous Vehicle Technology Market Outlook, By Level 2 (Partial Automation) (2024-2032) ($MN)
  • Table 14 Global Autonomous Vehicle Technology Market Outlook, By Level 3 (Conditional Automation) (2024-2032) ($MN)
  • Table 15 Global Autonomous Vehicle Technology Market Outlook, By Level 4 (High Automation) (2024-2032) ($MN)
  • Table 16 Global Autonomous Vehicle Technology Market Outlook, By Level 5 (Full Automation) (2024-2032) ($MN)
  • Table 17 Global Autonomous Vehicle Technology Market Outlook, By Drive Type (2024-2032) ($MN)
  • Table 18 Global Autonomous Vehicle Technology Market Outlook, By Internal Combustion Engine (ICE) (2024-2032) ($MN)
  • Table 19 Global Autonomous Vehicle Technology Market Outlook, By Hybrid Electric Vehicles (HEV) (2024-2032) ($MN)
  • Table 20 Global Autonomous Vehicle Technology Market Outlook, By Battery Electric Vehicles (BEV) (2024-2032) ($MN)
  • Table 21 Global Autonomous Vehicle Technology Market Outlook, By Fuel Cell Electric Vehicles (FCEV) (2024-2032) ($MN)
  • Table 22 Global Autonomous Vehicle Technology Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Autonomous Vehicle Technology Market Outlook, By Personal Mobility (2024-2032) ($MN)
  • Table 24 Global Autonomous Vehicle Technology Market Outlook, By Logistics & Delivery (2024-2032) ($MN)
  • Table 25 Global Autonomous Vehicle Technology Market Outlook, By Defense & Security (2024-2032) ($MN)
  • Table 26 Global Autonomous Vehicle Technology Market Outlook, By Industrial Automation (2024-2032) ($MN)
  • Table 27 Global Autonomous Vehicle Technology Market Outlook, By Ride-Hailing & Robo-Taxis (2024-2032) ($MN)
  • Table 28 Global Autonomous Vehicle Technology Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Autonomous Vehicle Technology Market Outlook, By Individual Consumers (2024-2032) ($MN)
  • Table 30 Global Autonomous Vehicle Technology Market Outlook, By Fleet Operators (2024-2032) ($MN)
  • Table 31 Global Autonomous Vehicle Technology Market Outlook, By Municipalities (2024-2032) ($MN)
  • Table 32 Global Autonomous Vehicle Technology Market Outlook, By Defense Agencies (2024-2032) ($MN)
  • Table 33 Global Autonomous Vehicle Technology Market Outlook, By Technology Developers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.