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市场调查报告书
商品编码
1494738

到 2030 年自动驾驶汽车市场预测：按组件、自动化程度、车辆类型、技术、应用和地区进行的全球分析

Autonomous Vehicles Market Forecasts to 2030 - Global Analysis By Component, Automation Level, Vehicle Type, Technology, 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预测，2024年全球自动驾驶汽车市场规模将达到608亿美元，预计2030年将达到1,806亿美元，预测期内复合年增长率为19.9%。

自动驾驶汽车通常被称为自动驾驶汽车或无人驾驶汽车，是配备先进感测器、软体和人工智慧 (AI) 演算法的车辆，无需人工干预即可导航和操作。这些车辆可以感知环境、解释感测资料并做出决策，自动驾驶道路、避开障碍物并遵守交通法规。自动驾驶汽车有潜力透过提高安全性、效率和可及性来彻底改变交通运输。它有望减少人为失误造成的交通事故，优化交通流量，并为因年龄、残疾或其他因素而无法驾驶的人提供出行解决方案。

根据汽车业资讯领先者Automotive World预测，到2050年，全球汽车保有量将普及20亿辆。根据美国环保署 (EPA) 的数据，美国75% 以上的一氧化碳是由汽车排放的。

出行即服务的兴起

MaaS 将各种交通服务整合到一个统一平台中，使用户能够无缝存取各种移动选项，包括自动驾驶汽车。将自动驾驶技术纳入 MaaS 网路将使这项技术在消费者中得到更广泛的了解和接受。 MaaS 平台优化了 AV 使用、减少了停机时间并提高了营运效率。此外，MaaS 的资料驱动性质允许不断改进 AV 演算法，并透过即时监控和分析来提高安全性。

责任和法律问题

由于不确定谁将在涉及自动驾驶车辆的事故中负责，保险和法律体制变得复杂。製造商、软体开发商甚至车主都可能被追究责任，从而形成一个复杂的法律纠葛网络。然而，不同司法管辖区的法规会进一步加剧这个问题，并阻碍自动驾驶汽车的普及和采用。这些因素阻碍了市场的成长。

越来越关注商业应用

物流、运输和送货服务等商业部门正在认识到自动驾驶汽车在简化业务、降低成本和提高效率方面的潜力。该公司正在大力投资研发，将自动驾驶技术整合到他们的车辆中，并寻求利用其优势。商业实体日益增长的兴趣正在刺激技术创新，从而推动自动驾驶汽车功能、安全功能和基础设施支援的进步。此外，商业应用需要扩充性和可靠性，迫使製造商改进自动驾驶系统以满足严格的行业标准。

资料安全问题

资料安全问题是自动驾驶汽车市场进步的主要障碍。自动驾驶汽车整合了先进的感测器、摄影机和连接功能，可产生大量资料，包括有关乘客、路线和位置的敏感资讯。这些资料很容易受到骇客攻击、资料外洩和未授权存取等网路威胁。然而，人们担心这些资料可能被滥用，包括身分盗窃、监视和操纵车辆功能，削弱了消费者对自动驾驶汽车的信任和信心。

COVID-19 的影响：

最初，疫情扰乱了供应链，导致生产延误，并阻碍了自动驾驶汽车的部署。社交距离措施和关门减少了对乘车服务的需求，影响了自动驾驶汽车的测试和部署。然而，疫情凸显了安全和卫生的重要性，并促使人们关注开髮用于大众交通工具和共用出行服务的自动驾驶技术。

驾驶辅助产业预计在预测期内规模最大

驾驶员援助细分市场预计将成为预测期内最大的细分市场，驾驶员援助系统将透过整合主动式车距维持定速系统巡航控制、车道维持援助和自动紧急煞车等功能扩展到半自动驾驶功能，从而提高安全性和安全性。自动驾驶技术正在赢得消费者和监管机构的认可和信任，因为这些技术可以减少人为错误、减少事故并改善信任流。

预计共乘产业在预测期内将经历最高的复合年增长率。

透过为此技术的采用和融入日常生活提供自然途径，预计乘车共享产业在预测期内将出现最高的复合年增长率。共乘公司处于将自动驾驶汽车整合到车队中的最前沿，以降低营运成本、提高效率并增强客户体验。透过利用自动驾驶技术，共乘服务可以为客户提供更低的票价，同时保持盈利。此外，这些服务是自动驾驶汽车系统的重要测试场，使开发人员能够收集真实世界的资料并在不同的城市环境中完善其技术。

比最大的地区

在估计期间，亚太地区占据了最大的市场份额。该地区的成长得益于将最尖端科技融入交通系统，例如 5G 网路、物联网 (IoT) 感测器和人工智慧。增强的连接性将实现车辆、基础设施和其他智慧设备之间的无缝通讯，从而促进全部区域更安全、更有效率的交通网络。这些进步不仅改善了道路安全并减少了拥堵，还为创新的行动服务和智慧城市计画铺平了道路，使该地区处于全球自动驾驶汽车市场的前沿。

复合年增长率最高的地区：

透过全面的法律规范，各国政府正在为自动驾驶汽车的开发和部署创造有利的环境，预计亚太地区将在预测期内呈现有利的成长。透过提供明确的指导方针和标准，政府正在向製造商、投资者和消费者等相关人员灌输信心，并刺激全部区域对视音频技术的创新和投资。此外，亚太地区的法规通常包括奖励和支持机制，例如研究津贴税收激励，以鼓励产业参与者和政府机构之间的合作，并为自动驾驶开发创建一个充满活力的生态系统。

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  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
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    • 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
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球自动驾驶汽车市场：按组成部分

  • 软体
  • 硬体
  • 服务

第六章全球自动驾驶汽车市场：依自动化程度划分

  • 驾驶员援助
  • 部分自动化
  • 有条件自动化

第七章全球自动驾驶汽车市场：依车型分类

  • 小客车
  • 商用车

第八章全球自动驾驶汽车市场：依技术分类

  • 自动驾驶卡车
  • 自动驾驶巴士
  • 其他技术

第九章全球自动驾驶汽车市场：依应用分类

  • 乘冰雹
  • 共乘
  • 其他用途

第十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
    • 南美洲其他地区
  • 中东/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

第十一章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • Audi
  • BMW
  • Continental AG
  • Daimler Group
  • Delphi
  • Ford Motor
  • General Motors
  • Hyundai Motor Group
  • Jaguar
  • Renault
  • Tesla
  • Uber
  • Volkswagen
  • Volvo
Product Code: SMRC26253

According to Stratistics MRC, the Global Autonomous Vehicles Market is accounted for $60.8 billion in 2024 and is expected to reach $180.6 billion by 2030 growing at a CAGR of 19.9% during the forecast period. Autonomous vehicles, often referred to as self-driving cars or driverless cars, are vehicles equipped with advanced sensors, software, and artificial intelligence (AI) algorithms that enable them to navigate and operate without human intervention. These vehicles can perceive their environment, interpret sensory data, and make decisions to navigate roads, avoid obstacles, and adhere to traffic laws autonomously. Autonomous vehicles have the potential to revolutionize transportation by offering increased safety, efficiency and accessibility. They hold promise for reducing traffic accidents caused by human error, optimizing traffic flow, and providing mobility solutions for people who cannot drive due to age, disability, or other factors.

According to Automotive World Ltd., a leader in automotive industry information, there would be more than 2 billion cars across the globe in 2050. According to Environmental Protection Agency (EPA), in the U.S. more than 75% of the carbon monoxide is emitted by motor vehicles.

Market Dynamics:

Driver:

Rise of mobility as a service

MaaS integrates various transportation services into a unified platform, providing users with seamless access to diverse mobility options, including AVs. By incorporating AVs into MaaS networks, the technology gains broader exposure and acceptance among consumers. MaaS platforms optimize AV utilization, reducing downtime and increasing operational efficiency. Moreover, the data-driven nature of MaaS enables continuous improvement of AV algorithms and enhances safety through real-time monitoring and analysis.

Restraint:

Liability and legal issues

Uncertainty regarding who bears responsibility in the event of accidents involving autonomous vehicles complicates insurance and legal frameworks. Manufacturers, software developers, and even vehicle owners could potentially be held liable, creating a complex web of legal entanglements. However, differing regulations across jurisdictions further exacerbate the problem, hindering widespread adoption and deployment of autonomous vehicles. These elements are hindering the market growth.

Opportunity:

Increasing focus on commercial applications

Commercial sectors such as logistics, transportation, and delivery services are recognizing the potential of autonomous vehicles to streamline operations, reduce costs, and enhance efficiency. Businesses are investing heavily in research and development to integrate autonomous technology into their fleets, aiming to capitalize on its benefits. This heightened interest from commercial entities is spurring innovation, leading to advancements in autonomous vehicle capabilities, safety features, and infrastructure support. Moreover, as commercial applications demand scalability and reliability, manufacturers are compelled to refine autonomous systems to meet rigorous industry standards.

Threat:

Data security concerns

Data security concerns pose a significant hurdle in the advancement of the autonomous vehicles market. The integration of sophisticated sensors, cameras, and connectivity features in autonomous vehicles generates vast amounts of data, including sensitive information about passengers, routes, and locations. This data becomes vulnerable to cyber threats such as hacking, data breaches, and unauthorized access. However, concerns about the potential misuse of this data, including identity theft, surveillance, and manipulation of vehicle functions, undermine consumer trust and confidence in autonomous vehicles.

Covid-19 Impact:

Initially, the pandemic disrupted supply chains, leading to production delays and hindering the deployment of autonomous vehicles. Social distancing measures and lockdowns reduced demand for ride-hailing services, affecting autonomous vehicle testing and adoption. However, the pandemic highlighted the importance of safety and hygiene, prompting a greater focus on the development of self-driving technology for public transportation and shared mobility services.

The Driver Assistance segment is expected to be the largest during the forecast period

Driver Assistance segment is expected to be the largest during the forecast period, by integrating features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking, driver assistance systems enhance vehicle safety and comfort while gradually familiarizing users with semi-autonomous capabilities. These technologies mitigate human errors, reduce accidents, and improve traffic flow, thus fostering greater acceptance and trust in autonomous driving technology among consumers and regulators.

The Ride Share segment is expected to have the highest CAGR during the forecast period

Ride Share segment is expected to have the highest CAGR during the forecast period by providing a natural avenue for the adoption and integration of this technology into everyday life. Ride-sharing companies are at the forefront of incorporating autonomous vehicles into their fleets, aiming to reduce operational costs, increase efficiency, and enhance customer experience. By leveraging autonomous technology, ride-share services can offer lower fares to customers while still maintaining profitability. Additionally, these services act as a crucial testing ground for autonomous vehicle systems, allowing developers to collect real-world data and refine their technology in diverse urban environments.

Region with largest share:

Asia Pacific region commanded the largest share of the market over the extrapolated period. This regional growth is underpinned by the integration of cutting-edge technologies such as 5G networks, Internet of Things (IoT) sensors, and artificial intelligence into transportation systems. Enhanced connectivity enables seamless communication between vehicles, infrastructure, and other smart devices, fostering safer and more efficient transportation networks across the region. These advancements not only improve road safety and reduce congestion but also pave the way for innovative mobility services and smart city initiatives, positioning the region at the forefront of the global autonomous vehicles market.

Region with highest CAGR:

Through comprehensive regulatory frameworks, governments are fostering an environment conducive to AV development and deployment, Asia Pacific region is estimated to witness profitable growth during the projection period. By providing clear guidelines and standards, governments instill confidence among stakeholders, including manufacturers, investors and consumers, thus stimulating innovation and investment in AV technologies across the region. Moreover, regulations in the Asia Pacific region often include incentives and support mechanisms, such as research grants and tax breaks, which encourage collaboration between industry players and government agencies, fostering a vibrant ecosystem for AV development.

Key players in the market

Some of the key players in Autonomous Vehicles market include Audi, BMW, Continental AG, Daimler Group, Delphi, Ford Motor, General Motors, Hyundai Motor Group, Jaguar, Renault, Tesla, Uber, Volkswagen and Volvo.

Key Developments:

In August 2023, GTMC is expected to provide Pony.ai with a fleet of battery electric vehicles branded by Toyota. These vehicles are expected to feature sophisticated redundant systems of Toyota designed for Level 4 autonomous driving research and development. The autonomous driving technology of Pony.ai is expected to be seamlessly incorporated into these vehicles, and they are anticipated to be utilized on the PonyPilot + robotaxi network platform.

In July 2023, Volkswagen Group of America, Inc. (VWGoA) is commencing its inaugural autonomous vehicle testing initiative in Austin. The program is expected to launch with a fleet of 10 all-electric ID. Buzz vehicles equipped with an autonomous driving (AD) technology system, jointly developed by the global Volkswagen Group in collaboration with the technology firm Mobileye.

In July 2023, Tesla announced an investment of USD 1 billion for the development of project Dojo that aims to manage extensive volumes of data, with a specific focus on video feeds originating from Tesla vehicles, a crucial element in the advancement of autonomous driving software of the company.

Components Covered:

  • Software
  • Hardware
  • Services

Automation Levels Covered:

  • Driver Assistance
  • Partial Automation
  • Conditional Automation

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles

Technologies Covered:

  • Self-driving Truck
  • Self-driving Bus
  • Other Technologies

Applications Covered:

  • Ride Hail
  • Ride Share
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Technology Analysis
  • 3.7 Application 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 Vehicles Market, By Component

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

6 Global Autonomous Vehicles Market, By Automation Level

  • 6.1 Introduction
  • 6.2 Driver Assistance
  • 6.3 Partial Automation
  • 6.4 Conditional Automation

7 Global Autonomous Vehicles Market, By Vehicle Type

  • 7.1 Introduction
  • 7.2 Passenger Vehicles
  • 7.3 Commercial Vehicles

8 Global Autonomous Vehicles Market, By Technology

  • 8.1 Introduction
  • 8.2 Self-driving Truck
  • 8.3 Self-driving Bus
  • 8.4 Other Technologies

9 Global Autonomous Vehicles Market, By Application

  • 9.1 Introduction
  • 9.2 Ride Hail
  • 9.3 Ride Share
  • 9.4 Other Applications

10 Global Autonomous Vehicles 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 Audi
  • 12.2 BMW
  • 12.3 Continental AG
  • 12.4 Daimler Group
  • 12.5 Delphi
  • 12.6 Ford Motor
  • 12.7 General Motors
  • 12.8 Hyundai Motor Group
  • 12.9 Jaguar
  • 12.10 Renault
  • 12.11 Tesla
  • 12.12 Uber
  • 12.13 Volkswagen
  • 12.14 Volvo

List of Tables

  • Table 1 Global Autonomous Vehicles Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 5 Global Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 7 Global Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 8 Global Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 9 Global Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 10 Global Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 11 Global Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 12 Global Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 13 Global Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 14 Global Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 15 Global Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 16 Global Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 17 Global Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 18 Global Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 19 Global Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 20 Global Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 21 North America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 22 North America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 23 North America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 24 North America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 25 North America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 26 North America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 27 North America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 28 North America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 29 North America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 30 North America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 31 North America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 32 North America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 33 North America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 34 North America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 35 North America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 36 North America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 37 North America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 38 North America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 39 North America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 40 North America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 41 Europe Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 42 Europe Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 43 Europe Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 44 Europe Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 45 Europe Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 46 Europe Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 47 Europe Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 48 Europe Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 49 Europe Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 50 Europe Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 51 Europe Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 52 Europe Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 53 Europe Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 54 Europe Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 55 Europe Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 56 Europe Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 57 Europe Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 58 Europe Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 59 Europe Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 60 Europe Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 61 Asia Pacific Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 62 Asia Pacific Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 63 Asia Pacific Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 64 Asia Pacific Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 65 Asia Pacific Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 66 Asia Pacific Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 67 Asia Pacific Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 68 Asia Pacific Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 69 Asia Pacific Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 70 Asia Pacific Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 71 Asia Pacific Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 72 Asia Pacific Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 73 Asia Pacific Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 74 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 75 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 76 Asia Pacific Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 77 Asia Pacific Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 78 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 79 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 80 Asia Pacific Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 81 South America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 82 South America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 83 South America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 84 South America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 85 South America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 86 South America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 87 South America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 88 South America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 89 South America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 90 South America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 91 South America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 92 South America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 93 South America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 94 South America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 95 South America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 96 South America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 97 South America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 98 South America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 99 South America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 100 South America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 101 Middle East & Africa Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 102 Middle East & Africa Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 103 Middle East & Africa Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 104 Middle East & Africa Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 105 Middle East & Africa Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 106 Middle East & Africa Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 107 Middle East & Africa Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 108 Middle East & Africa Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 109 Middle East & Africa Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 110 Middle East & Africa Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 111 Middle East & Africa Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 112 Middle East & Africa Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 113 Middle East & Africa Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 114 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 115 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 116 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 117 Middle East & Africa Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 118 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 119 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 120 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)