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市场调查报告书
商品编码
1822435

2032 年自动驾驶汽车市场预测：按组件、自动驾驶水平、车辆类型、推进系统、应用和地区进行的全球分析

Autonomous Vehicle Market Forecasts to 2032 - Global Analysis By Component, Level of Autonomy (Assisted Driving, Conditional Automation, High Automation and Full Automation ), Vehicle Type, Propulsion, Application 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，全球自动驾驶汽车市场规模预计在 2025 年达到 830.2 亿美元，到 2032 年将达到 3,319.81 亿美元，预测期内的复合年增长率为 21.9%。

自动驾驶汽车（通常称为无人驾驶汽车）配备先进的感测器、摄影机、雷达、人工智慧和导航系统，无需人工直接操控即可自主导航。这些车辆能够感知周围环境，解读交通状况，并做出即时驾驶决策，例如加速、煞车和变换车道。自动驾驶汽车旨在增强安全性、提高交通效率并减少人为失误导致的事故。它们拥有从辅助驾驶到完全自动驾驶等不同等级的自动化驾驶模式，并将彻底改变未来的出行方式。

政府支持、政策和奖励

对试点走廊、测试区和智慧基础设施的策略性投资正在加速自动驾驶汽车在城域网路和城际网路中的部署。原始设备製造商、技术供应商和交通运输机构之间的协作模式正在促进可扩展的创新。法律规范正在不断发展，以适应V2X通讯、安全通讯协定和资料互通性。国家出行计划和永续性要求正在增强长期市场可行性。这些因素正在将政府干预确立为自动驾驶汽车普及的基石。

监管不确定性和责任问题

系统相关事故发生后，审查力道加大，减缓了全球市场监管协调的步伐。产业相关人员正努力应对碎片化的安全标准和不一致的资料管治规则。混合交通环境中缺乏清晰的责任框架，使商业部署更加复杂。由于製造商必须克服司法管辖权的漏洞和合规瓶颈，因此营运风险不断上升。儘管技术日趋成熟，但这些挑战正在削弱投资者信心，并减缓其发展势头。

改善基础设施和连结性

对路边感测器、高清地图和即时交通系统的投资正在增强路线智慧和情境察觉。智慧交通网路正在实现动态决策和无缝车辆协调。城市交通枢纽和电动汽车电网正在支援各种交通方式的整合部署。改进的连接性正在促进车辆、基础设施和云端平台之间持续的资料交换。这些进步正在释放新的营运能力，并加速自动驾驶出行领域的创新。

解决技术限制和边缘情况

感测器校准、演算法决策和故障安全实施方面持续存在的挑战限制了部署的可靠性。与误判和系统故障相关的安全事故持续引发公众和监管机构的警觉，迫使製造商投资于模拟、冗余和实际检验，以确保稳健性。信任和核准取决于在各种不利条件下的一致性能。这些限制构成了策略风险，并限制了市场扩张。

COVID-19的影响

新冠疫情扰乱了自动驾驶汽车市场，导致供应链暂时中断、生产停顿以及原物料采购延迟。汽车、出行和公共运输等主要终端用户受到需求下降的影响，部署进度受到影响。然而，对非接触式旅游、数位基础设施和弹性交通系统的关注度增加，部分抵消了市场放缓的影响。疫情后的復苏将由整个产业对安全高效的自动驾驶汽车平臺的需求成长以及永续、高性能自动驾驶技术的创新所推动。

预测期内，乘用车市场预计将成为最大的市场

由于主动车距控制巡航系统、车道维持辅助和自动停车等自动驾驶功能的广泛集成，预计乘用车细分市场将在预测期内占据最大市场份额。原始设备製造商正在高阶和中阶车型中整合 2 级和 3 级自动驾驶功能，以增强安全性和便利性。消费者对驾驶辅助系统和互联出行的需求正在推动自动驾驶技术的普及。监管部门对 ADAS 和排放气体的支援正在加速其部署。该细分市场将继续支持自动驾驶汽车市场，从而推动整体市场的成长。

预计在预测期内，车队营运商和行动服务提供商部门将以最高的复合年增长率成长。

受可扩展、经济高效且自动化的交通解决方案需求的推动，车队营运商和出行服务提供商预计将在预测期内实现最高成长率。自动驾驶汽车正部署到叫车、接驳车服务和物流车队中，以降低人事费用并提高运转率。与车队管理平台和预测维修系统的整合正在提高营运效率。对共享出行和城市交通电气化的监管支持正在加强其应用。该领域正成为自动驾驶出行创新的高成长前沿。

比最大的地区

由于强大的汽车製造基础、都市化趋势以及政府对自动驾驶出行的支持，预计亚太地区将在预测期内占据最大的市场份额。中国、日本、韩国和印度等国家正在投资智慧交通基础设施、电动车整合和自动驾驶汽车测试区。该地区的原始设备製造商和科技公司在平台开发和试点部署方面处于领先主导。公共部门在清洁出行、道路安全和数位基础设施方面的倡议正在增强需求。具有竞争力的价格和快速的城市扩张正在推动自动驾驶汽车的大规模应用。

复合年增长率最高的地区

预计北美将在预测期内实现最高的复合年增长率，这得益于自动驾驶技术的强劲投资、监管的明确性以及共用出行的创新。美国和加拿大正在都市区走廊、园区和物流枢纽扩大试验计画。官民合作关係和融资计画正在加速商业化进程。对非接触式交通、智慧基础设施和永续旅行的需求正在推动成长。原始设备製造商和新兴企业在人工智慧、感测器融合和平台整合方面处于领先地位。

免费客製化服务

此报告的订阅者可以选择以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布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
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • COVID-19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. 全球自动驾驶汽车市场（按零件）

  • 硬体
  • 软体
  • 服务

6. 全球自动驾驶汽车市场（按自动驾驶等级）

  • 驾驶辅助（L1/L2）
  • 条件自动化（L3）
  • 高级自动化（L4）
  • 全自动（L5）

7. 全球自动驾驶汽车市场（按车型）

  • 搭乘用车
  • 轻型商用车
  • 大型商用车
  • 专用车辆和越野车辆
  • 微移动

8. 全球自动驾驶汽车市场（依动力系统）

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

9. 全球自动驾驶汽车市场（按应用）

  • 叫车服务/自动驾驶计程车
  • 共享出行/汽车共享
  • 最后一哩配送和物流
  • 远距卡车运输和车队驾驶
  • 公共运输
  • 受控环境
  • 其他的

第 10 章全球自动驾驶汽车市场（按地区）

  • 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
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 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

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第 12 章：公司概况

  • Waymo LLC
  • Tesla, Inc.
  • Baidu, Inc.
  • NVIDIA Corporation
  • Intel Corporation
  • Apple Inc.
  • Aurora Innovation, Inc.
  • Cruise LLC
  • Pony.ai
  • Mobileye Global Inc.
  • Nuro, Inc.
  • Zoox, Inc.
  • Hyundai Motor Company
  • Toyota Motor Corporation
  • Volkswagen AG
Product Code: SMRC31190

According to Stratistics MRC, the Global Autonomous Vehicle Market is accounted for $83.002 billion in 2025 and is expected to reach $331.981 billion by 2032 growing at a CAGR of 21.9% during the forecast period. An autonomous vehicle, often called a self-driving car, is a vehicle equipped with advanced sensors, cameras, radar, artificial intelligence, and navigation systems that allow it to operate without direct human control. These vehicles can perceive their surroundings, interpret traffic conditions, and make driving decisions in real time, such as accelerating, braking, or changing lanes. Autonomous vehicles are designed to enhance safety, improve traffic efficiency, and reduce human error-related accidents. They operate at varying automation levels, from driver assistance to fully autonomous driving, transforming future mobility.

Market Dynamics:

Driver:

Government support, policies & incentives

Strategic investments in pilot corridors, testing zones, and smart infrastructure are accelerating deployment across metropolitan and intercity networks. Collaborative models between OEMs, technology providers, and transport agencies are fostering scalable innovation. Legislative frameworks are evolving to accommodate V2X communication, safety protocols, and data interoperability. National mobility programs and sustainability mandates are reinforcing long-term market viability. These factors are establishing government intervention as a cornerstone of autonomous vehicle adoption.

Restraint:

Regulatory uncertainty & liability issues

Heightened scrutiny following system-related incidents has delayed regulatory harmonization across global markets. Industry stakeholders are grappling with fragmented safety standards and inconsistent data governance rules. The absence of clear liability frameworks in mixed-traffic environments is complicating commercial deployment. Operational risk is rising as manufacturers navigate jurisdictional gaps and compliance bottlenecks. These challenges are dampening investor confidence and slowing momentum despite technological maturity.

Opportunity:

Infrastructure & connectivity improvements

Investments in roadside sensors, HD mapping, and real-time traffic systems are enhancing route intelligence and situational awareness. Intelligent transport networks are enabling dynamic decision-making and seamless vehicle coordination. Urban mobility hubs and EV-compatible grids are supporting integrated deployment across modes. Enhanced connectivity is facilitating continuous data exchange between vehicles, infrastructure, and cloud platforms. These advancements are unlocking new operational capabilities and accelerating innovation in autonomous mobility.

Threat:

Technical limitations & edge-case handling

Persistent challenges in sensor calibration, algorithmic decision-making, and fail-safe execution are limiting deployment confidence. Safety incidents linked to misinterpretation or system failure continue to raise public and regulatory alarm. Manufacturers are under pressure to invest in simulation, redundancy, and real-world validation to ensure robustness. Trust and approval hinge on consistent performance across diverse and adverse conditions. These limitations are introducing strategic risk and constraining full-scale market expansion.

Covid-19 Impact:

The Covid-19 pandemic disrupted the Autonomous Vehicle market, causing temporary supply chain interruptions, production halts, and delays in raw material procurement. Automotive, mobility, and public transport sectors, which are major end-users, experienced reduced demand, impacting deployment timelines. However, the increased focus on contactless mobility, digital infrastructure, and resilient transport systems partially offset the slowdown. Post-pandemic recovery is driven by growing demand for safe, efficient, and automated vehicle platforms, along with innovations in sustainable and high-performance autonomous technologies across industries.

The passenger cars segment is expected to be the largest during the forecast period

The passenger cars segment is expected to account for the largest market share during the forecast period owing to its widespread integration of autonomous features such as adaptive cruise control, lane-keeping assist, and automated parking. OEMs are embedding Level 2 and Level 3 autonomy into premium and mid-range models to enhance safety and convenience. Consumer demand for driver assistance systems and connected mobility is reinforcing adoption. Regulatory support for ADAS and emissions reduction is accelerating deployment. This segment continues to anchor the autonomous vehicle market, thereby boosting overall market growth.

The fleet operators & mobility providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fleet operators & mobility providers segment is predicted to witness the highest growth rate driven by demand for scalable, cost-efficient, and automated transport solutions. Autonomous vehicles are being deployed in ride-hailing, shuttle services, and logistics fleets to reduce labour costs and improve utilization. Integration with fleet management platforms and predictive maintenance systems is enhancing operational efficiency. Regulatory support for shared mobility and urban transport electrification is reinforcing adoption. This segment is emerging as a high-growth frontier for autonomous mobility innovation.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to its robust automotive manufacturing base, urbanization trends, and government support for autonomous mobility. Countries like China, Japan, South Korea, and India are investing in smart transport infrastructure, EV integration, and autonomous vehicle testing zones. Regional OEMs and tech firms are leading in platform development and pilot deployments. Public initiatives in clean mobility, traffic safety, and digital infrastructure are reinforcing demand. Competitive pricing and rapid urban expansion are supporting large-scale adoption.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR by strong investment in autonomous technologies, regulatory clarity, and innovation in shared mobility. The U.S. and Canada are scaling pilot programs across urban corridors, campuses, and logistics hubs. Public-private partnerships and funding initiatives are accelerating commercialization. Demand for contactless transport, smart infrastructure, and sustainable mobility is reinforcing growth. OEMs and startups are leading in AI, sensor fusion, and platform integration.

Key players in the market

Some of the key players in Autonomous Vehicle Market include Waymo LLC, Tesla, Inc., Baidu, Inc., NVIDIA Corporation, Intel Corporation, Apple Inc., Aurora Innovation, Inc., Cruise LLC, Pony.ai, Mobileye Global Inc., Nuro, Inc., Zoox, Inc., Hyundai Motor Company, Toyota Motor Corporation and Volkswagen AG.

Key Developments:

In August 2025, Waymo and Toyota Motor Corporation announced a strategic partnership to co-develop autonomous driving technologies for personally owned vehicles. The collaboration leverages Waymo's Level 4 autonomy stack and Toyota's vehicle platforms, with Woven by Toyota contributing advanced software integration.

In June 2025, Tesla launched its Robotaxi service in Austin, Texas, followed by San Francisco in August, using Model Y vehicles with remote monitoring. These pilot deployments mark Tesla's first commercial collaboration with city regulators and infrastructure partners to scale autonomous ride-hailing.

Components Covered:

  • Hardware
  • Software
  • Services

Level of Autonomy's Covered:

  • Assisted Driving (L1-L2)
  • Conditional Automation (L3)
  • High Automation (L4)
  • Full Automation (L5)

Vehicle Types Covered:

  • Passenger Cars
  • Light Commercial Vehicles
  • Heavy Commercial Vehicles
  • Specialty & Off-Road Vehicles
  • Micro-mobility

Propulsions Covered:

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

Applications Covered:

  • Ride-Hailing & Robotaxis
  • Shared Mobility & Car-Sharing
  • Last-Mile Delivery & Logistics
  • Long-Haul Trucking & Platooning
  • Public Transport
  • Controlled Environments
  • Other Applications

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 Emerging Markets
  • 3.8 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 Market, By Component

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

6 Global Autonomous Vehicle Market, By Level of Autonomy

  • 6.1 Introduction
  • 6.2 Assisted Driving (L1-L2)
  • 6.3 Conditional Automation (L3)
  • 6.4 High Automation (L4)
  • 6.5 Full Automation (L5)

7 Global Autonomous Vehicle Market, By Vehicle Type

  • 7.1 Introduction
  • 7.2 Passenger Cars
  • 7.3 Light Commercial Vehicles
  • 7.4 Heavy Commercial Vehicles
  • 7.5 Specialty & Off-Road Vehicles
  • 7.6 Micro-mobility

8 Global Autonomous Vehicle Market, By Propulsion

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

9 Global Autonomous Vehicle Market, By Application

  • 9.1 Introduction
  • 9.2 Ride-Hailing & Robotaxis
  • 9.3 Shared Mobility & Car-Sharing
  • 9.4 Last-Mile Delivery & Logistics
  • 9.5 Long-Haul Trucking & Platooning
  • 9.6 Public Transport
  • 9.7 Controlled Environments
  • 9.9 Other Applications

10 Global Autonomous Vehicle Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Waymo LLC
  • 12.2 Tesla, Inc.
  • 12.3 Baidu, Inc.
  • 12.4 NVIDIA Corporation
  • 12.5 Intel Corporation
  • 12.6 Apple Inc.
  • 12.7 Aurora Innovation, Inc.
  • 12.8 Cruise LLC
  • 12.9 Pony.ai
  • 12.10 Mobileye Global Inc.
  • 12.11 Nuro, Inc.
  • 12.12 Zoox, Inc.
  • 12.13 Hyundai Motor Company
  • 12.14 Toyota Motor Corporation
  • 12.15 Volkswagen AG

List of Tables

  • Table 1 Global Autonomous Vehicle Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Vehicle Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Autonomous Vehicle Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Autonomous Vehicle Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Autonomous Vehicle Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Autonomous Vehicle Market Outlook, By Level of Autonomy (2024-2032) ($MN)
  • Table 7 Global Autonomous Vehicle Market Outlook, By Assisted Driving (L1-L2) (2024-2032) ($MN)
  • Table 8 Global Autonomous Vehicle Market Outlook, By Conditional Automation (L3) (2024-2032) ($MN)
  • Table 9 Global Autonomous Vehicle Market Outlook, By High Automation (L4) (2024-2032) ($MN)
  • Table 10 Global Autonomous Vehicle Market Outlook, By Full Automation (L5) (2024-2032) ($MN)
  • Table 11 Global Autonomous Vehicle Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 12 Global Autonomous Vehicle Market Outlook, By Passenger Cars (2024-2032) ($MN)
  • Table 13 Global Autonomous Vehicle Market Outlook, By Light Commercial Vehicles (2024-2032) ($MN)
  • Table 14 Global Autonomous Vehicle Market Outlook, By Heavy Commercial Vehicles (2024-2032) ($MN)
  • Table 15 Global Autonomous Vehicle Market Outlook, By Specialty & Off-Road Vehicles (2024-2032) ($MN)
  • Table 16 Global Autonomous Vehicle Market Outlook, By Micro-mobility (2024-2032) ($MN)
  • Table 17 Global Autonomous Vehicle Market Outlook, By Propulsion (2024-2032) ($MN)
  • Table 18 Global Autonomous Vehicle Market Outlook, By Internal Combustion Engine (ICE) (2024-2032) ($MN)
  • Table 19 Global Autonomous Vehicle Market Outlook, By Hybrid Electric Vehicles (HEV / PHEV) (2024-2032) ($MN)
  • Table 20 Global Autonomous Vehicle Market Outlook, By Battery Electric Vehicles (BEV) (2024-2032) ($MN)
  • Table 21 Global Autonomous Vehicle Market Outlook, By Fuel Cell Electric Vehicles (FCEV) (2024-2032) ($MN)
  • Table 22 Global Autonomous Vehicle Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Autonomous Vehicle Market Outlook, By Ride-Hailing & Robotaxis (2024-2032) ($MN)
  • Table 24 Global Autonomous Vehicle Market Outlook, By Shared Mobility & Car-Sharing (2024-2032) ($MN)
  • Table 25 Global Autonomous Vehicle Market Outlook, By Last-Mile Delivery & Logistics (2024-2032) ($MN)
  • Table 26 Global Autonomous Vehicle Market Outlook, By Long-Haul Trucking & Platooning (2024-2032) ($MN)
  • Table 27 Global Autonomous Vehicle Market Outlook, By Public Transport (2024-2032) ($MN)
  • Table 28 Global Autonomous Vehicle Market Outlook, By Controlled Environments (2024-2032) ($MN)
  • Table 29 Global Autonomous Vehicle Market Outlook, By Other Applications (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.