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市场调查报告书
商品编码
1662777

2030 年自动驾驶汽车市场预测:按零件、推进系统、自动化程度、车辆、应用和地区进行的全球分析

Self-driving Cars Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software, and Other Components), Propulsion, Level of Autonomy, Vehicle, 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 2024 年达到 315.2 亿美元,到 2030 年将达到 764.1 亿美元,预测期内的复合年增长率为 15.9%。

自动驾驶汽车,也称为自主车辆,配备了先进的传感器、摄影机和人工智慧,无需人工干预即可导航和运行。这些车辆依靠先进的演算法来解释周围环境的资料并做出即时决策,以确保安全且有效率的旅程。它可以侦测障碍物、遵守交通规则并动态调整路线。随着技术的不断发展,自动驾驶汽车有望透过提高安全性、缓解交通拥堵和为所有人提供出行解决方案来彻底改变交通运输。

对提高行动性和便利性的需求

自动驾驶汽车有望实现轻鬆的交通并让人们重新拥有驾驶的时间。这些车辆可以提高残疾人和不能开车的人的出行便利。此外,自动驾驶汽车可以优化交通流量,减少交通拥堵,并提供更有效率的运输。将自动驾驶汽车融入共乘服务将增添另一层便利,让交通更加便利、更人性化。

资料安全和隐私问题

自动驾驶汽车依赖从多个感测器和通讯网路收集的大量资料。这些资料对于车辆运行至关重要,但如果处理不当或洩露,也会带来风险。网路安全威胁和潜在的资料滥用可能会破坏公众对自动驾驶技术的信任。确保强有力的资料保护措施和解决隐私问题对于赢得消费者的信任和支持并广泛采用自动驾驶汽车至关重要。

提高燃油效率

自动驾驶汽车的目标是尽量减少不必要的煞车和加速,优化驾驶习惯,并保持高效的速度。透过减少整体燃料消费量和排放,这些功能有助于提高燃油经济性。推动绿色交通与国际社会应对气候变迁和推广永续实践的努力相辅相成。随着燃油经济性变得越来越重要,无论是从经济效益还是环境效益来看,自动驾驶汽车的使用预计会增加。

对就业流动的担忧

自动驾驶业务可能会导致依赖人类驾驶人的行业(例如卡车运输、计程车服务和公共运输)失业。对就业的潜在影响引发了必须解决的道德和经济问题。政策制定者和行业领导者必须透过再培训计画和不断发展的汽车技术领域的新就业机会,找到减轻工作流失负面影响的方法。

COVID-19 的影响

COVID-19 疫情对自动驾驶汽车市场产生了多方面的影响。供应链中断和经济不确定性减缓了生产和发展1。但这场疫情也凸显了自动驾驶汽车的好处,例如非接触式配送和运送重要工作人员。开发人员的应对措施是专注于软体开发和远端测试。整体而言,这场疫情凸显了自动驾驶技术在提高安全性和效率方面的潜力。

预测期内硬体部分预计将成为最大的部分

预计硬体部分将在预测期内占据最大的市场占有率,因为它在自动驾驶汽车的功能中发挥关键作用。先进的感测器、摄影机和光达系统是自动驾驶汽车准确感知和解读周围环境的重要组成部分。随着技术的成熟,预计硬体开发和生产的投资将会增加,从而增强该领域在市场上的主导地位。

预计预测期内混合动力汽车领域将以最高的复合年增长率成长。

由于双动力来源和效率的提高,混合动力汽车领域预计将在预测期内实现最高成长率。混合动力自动驾驶汽车可以在电动和传统燃料模式之间切换,从而为其提供更大的灵活性和更长的续航里程。这种多功能性使其成为寻求环保、经济高效交通方式的消费者的一个有吸引力的选择。人们对永续性的关注度不断提高以及混合模式的日益普及预计将推动该领域的快速扩张。

比最大的地区

在预测期内,亚太地区预计将占据最大的市场占有率,这得益于对自动驾驶汽车技术和基础设施的大量投资。中国、日本和韩国等国家在自动驾驶汽车的研究、开发和部署方面处于领先地位。该地区蓬勃发展的汽车产业,加上政府推动智慧交通的倡议,正在支持市场成长。此外,亚太地区的高人口密度和都市化对高效和创新的移动解决方案产生了强烈的需求。

复合年增长率最高的地区

由于强大的技术基础和支援性法规环境,预计北美地区在预测期内将呈现最高的复合年增长率。美国和加拿大是许多推动自动驾驶汽车技术进步的主要企业和汽车製造商的所在地。该地区对创新的重视、官民合作关係以及对智慧基础设施的投资正在加速市场成长。自动驾驶汽车在共乘和物流服务中的应用将进一步推动北美市场的扩张。

提供免费客製化

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目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 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
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 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
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第 5 章 全球自动驾驶汽车市场(按组件划分)

  • 介绍
  • 硬体
    • LiDAR(光检测与测距)
    • 雷达感测器
    • 相机
    • 超音波感测器
    • 基于 AI 的处理器和 GPU
    • GPS 和导航系统
    • 5G 和云端连接
  • 软体
    • 人工智慧和机器学习演算法
    • 高级驾驶辅助系统 (ADAS) 软体
    • 自动驾驶平台
    • 云端基础的资料处理和映射
  • 其他的

6. 全球自动驾驶汽车市场(依动力系统划分)

  • 介绍
  • 内燃机 (ICE) 车辆
  • 混合动力汽车
  • 电动车
  • 氢燃料电池汽车
  • 其他驱动力

第 7 章 全球自动驾驶汽车市场(依自动化程度划分)

  • 介绍
  • 0 级(无自动化)
  • 1 级(驾驶辅助)
  • 2 级(部分自动化)
  • 第 3 级(条件自动化)
  • 4 级(高级自动化)
  • 5 级(全自动)

第 8 章 全球自动驾驶汽车市场(按车型)

  • 介绍
  • 搭乘用车
  • 商用车
  • 其他的

第 9 章 全球自动驾驶汽车市场(按应用)

  • 介绍
  • 叫车服务和自动驾驶计程车
  • 个人移动行
  • 公共运输
  • 货运与物流
  • 其他的

第 10 章 全球自动驾驶汽车市场(按区域划分)

  • 介绍
  • 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
    • 欧洲其他地区
  • 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

第十二章 公司概况

  • Toyota Motor Corporation
  • Tesla
  • BYD co., ltd.
  • Volkswagen Group
  • Ford Motor
  • General Motors
  • Mercedes-Benz Group Ag
  • BMW Group
  • Hyundai Motor Group
  • Nvidia Corporation
  • Robert Bosch Gmbh
  • Continental AG
  • ZF friedrichshafen AG
  • Denso Corporation
  • Magna International Inc.
  • Nxp Semiconductors
  • Renault Group
  • Aisin Corporation
  • Hitachi Automotive
Product Code: SMRC28638

According to Stratistics MRC, the Global Self-Driving Cars Market is accounted for $31.52 billion in 2024 and is expected to reach $76.41 billion by 2030 growing at a CAGR of 15.9% during the forecast period. Self-driving cars, also known as autonomous vehicles, are equipped with advanced sensors, cameras, and artificial intelligence to navigate and operate without human intervention. These vehicles rely on sophisticated algorithms to interpret data from their surroundings, making real-time decisions to ensure safe and efficient travel. They can detect obstacles, follow traffic rules, and adjust routes dynamically. As technology continues to evolve, self-driving cars promise to revolutionize transportation by enhancing safety, reducing traffic congestion, and providing mobility solutions for everyone.

Market Dynamics:

Driver:

Demand for enhanced mobility and convenience

Autonomous vehicles offer the promise of effortless travel, allowing individuals to reclaim time spent behind the wheel. These vehicles can improve accessibility for people with disabilities or those unable to drive. Furthermore, self-driving cars can optimize traffic flow, reduce congestion, and provide more efficient transportation options. The integration of autonomous vehicles into ride-sharing services adds another layer of convenience, making transportation more accessible and user-friendly.

Restraint:

Data security and privacy concerns

Large volumes of data gathered from several sensors and communication networks are essential to autonomous cars. This data is crucial for the car's operation but also poses risks if mishandled or breached. Cybersecurity threats and potential data misuse can undermine public trust in self-driving technology. Ensuring robust data protection measures and addressing privacy concerns are essential to gain consumer confidence and support for the widespread adoption of autonomous vehicles.

Opportunity:

Rising fuel efficiency

The goal of autonomous cars is to minimize needless braking and acceleration, optimize driving habits, and maintain efficient speeds. By lowering overall fuel consumption and emissions, these features help to increase fuel efficiency. Greener transportation options are being pushed in tandem with international initiatives to address climate change and advance sustainable practices. Self-driving car usage is anticipated to rise as fuel economy becomes more important, due to both economic and environmental advantages.

Threat:

Job displacement concerns

The automation of driving tasks could lead to job losses in industries reliant on human drivers, such as trucking, taxi services, and public transportation. The potential impact on employment raises ethical and economic questions that need to be addressed. Policymakers and industry leaders must find ways to mitigate the negative effects of job displacement through retraining programs and new job opportunities in the evolving automotive and technology sectors.

Covid-19 Impact

The COVID-19 pandemic had a mixed impact on the self-driving car market. Supply chain disruptions and economic uncertainties slowed down production and development1. However, the pandemic also highlighted the benefits of autonomous vehicles, such as contactless delivery and transportation for essential workers. Companies adapted by focusing on software development and remote testing1. Overall, the pandemic underscored the potential of self-driving technology in enhancing safety and efficiency.

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, due to its critical role in the functioning of self-driving cars. Advanced sensors, cameras, and LiDAR systems are essential components that enable autonomous vehicles to perceive and interpret their surroundings accurately. As the technology matures, investments in hardware development and production are anticipated to grow, reinforcing the segment's dominance in the market.

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

Over the forecast period, the hybrid vehicles segment is predicted to witness the highest growth rate, due to their dual power sources and improved efficiency. Hybrid self-driving cars can switch between electric and conventional fuel modes, offering greater flexibility and extended range. This versatility makes them an attractive option for consumers seeking eco-friendly and cost-effective transportation solutions. The increasing focus on sustainability and the growing availability of hybrid models are expected to drive the segment's rapid expansion.

Region with largest share:

During the forecast period, Asia Pacific region is expected to hold the largest market share, due to its significant investments in autonomous vehicle technology and infrastructure. Countries like China, Japan, and South Korea are leading the way in research, development, and deployment of self-driving cars. The region's robust automotive industry, coupled with government initiatives to promote smart transportation, supports the market's growth. Additionally, the high population density and urbanization in Asia Pacific create a strong demand for efficient and innovative mobility solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to its strong technological base and supportive regulatory environment. The U.S. and Canada are home to many leading tech companies and automotive manufacturers driving advancements in autonomous vehicle technology. The region's focus on innovation, along with public-private partnerships and investment in smart infrastructure, accelerates market growth. The adoption of self-driving cars in ride-sharing and logistics services further boosts the market's expansion in North America.

Key players in the market

Some of the key players profiled in the Self-Driving Cars Market include Toyota Motor Corporation, Tesla, BYD co., ltd., Volkswagen Group, Ford Motor, General Motors, Mercedes-Benz Group Ag, BMW Group, Hyundai Motor Group, Nvidia Corporation, Robert Bosch Gmbh, Continental AG, ZF friedrichshafen AG, Denso Corporation, Magna International Inc., Nxp Semiconductors, Renault Group, Aisin Corporation, and Hitachi Automotive.

Key Developments:

In February 2025, TOYOTA GAZOO racing launches evolved GR Corolla in Japan. TOYOTA GAZOO Racing (TGR) has started accepting orders for its evolved GR Corolla, a model that leverages insights gained by competing in motorsports.

In December 2024, Volkswagen AG -with its brands Volkswagen Passenger Cars, Volkswagen Commercial Vehicles and Group Components and employee representatives have concluded a joint agreement entitled 'Zukunft Volkswagen' after intensive negotiations

Components Covered:

  • Hardware
  • Software
  • Other Components

Propulsions Covered:

  • Internal Combustion Engine (ICE) Vehicles
  • Hybrid Vehicles
  • Electric Vehicles
  • Hydrogen Fuel Cell Vehicles
  • Other Propulsions

Level of Autonomy Covered:

  • Level 0 (No Automation)
  • Level 1 (Driver Assistance)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Vehicles Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Other Vehicles

Applications Covered:

  • Ride-Hailing & Robo-Taxis
  • Personal Mobility
  • Public Transport
  • Freight & Logistics
  • 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 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 Self-driving Cars Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 LiDAR (Light Detection and Ranging)
    • 5.2.2 Radar Sensors
    • 5.2.3 Cameras
    • 5.2.4 Ultrasonic Sensors
    • 5.2.5 AI-Based Processors & GPUs
    • 5.2.6 GPS & Navigation Systems
    • 5.2.7 5G & Cloud Connectivity
  • 5.3 Software
    • 5.3.1 AI & Machine Learning Algorithms
    • 5.3.2 Advanced Driver Assistance Systems (ADAS) Software
    • 5.3.3 Autonomous Driving Platforms
    • 5.3.4 Cloud-Based Data Processing & Mapping
  • 5.4 Other Components

6 Global Self-driving Cars Market, By Propulsion

  • 6.1 Introduction
  • 6.2 Internal Combustion Engine (ICE) Vehicles
  • 6.3 Hybrid Vehicles
  • 6.4 Electric Vehicles
  • 6.5 Hydrogen Fuel Cell Vehicles
  • 6.6 Other Propulsions

7 Global Self-driving Cars Market, By Level of Autonomy

  • 7.1 Introduction
  • 7.2 Level 0 (No Automation)
  • 7.3 Level 1 (Driver Assistance)
  • 7.4 Level 2 (Partial Automation)
  • 7.5 Level 3 (Conditional Automation)
  • 7.6 Level 4 (High Automation)
  • 7.7 Level 5 (Full Automation)

8 Global Self-driving Cars Market, By Vehicle

  • 8.1 Introduction
  • 8.2 Passenger Vehicles
  • 8.3 Commercial Vehicles
  • 8.4 Other Vehicles

9 Global Self-driving Cars Market, By Application

  • 9.1 Introduction
  • 9.2 Ride-Hailing & Robo-Taxis
  • 9.3 Personal Mobility
  • 9.4 Public Transport
  • 9.5 Freight & Logistics
  • 9.6 Other Applications

10 Global Self-driving Cars 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 Toyota Motor Corporation
  • 12.2 Tesla
  • 12.3 BYD co., ltd.
  • 12.4 Volkswagen Group
  • 12.5 Ford Motor
  • 12.6 General Motors
  • 12.7 Mercedes-Benz Group Ag
  • 12.8 BMW Group
  • 12.9 Hyundai Motor Group
  • 12.10 Nvidia Corporation
  • 12.11 Robert Bosch Gmbh
  • 12.12 Continental AG
  • 12.13 ZF friedrichshafen AG
  • 12.14 Denso Corporation
  • 12.15 Magna International Inc.
  • 12.16 Nxp Semiconductors
  • 12.17 Renault Group
  • 12.18 Aisin Corporation
  • 12.19 Hitachi Automotive

List of Tables

  • Table 1 Global Self-driving Cars Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Self-driving Cars Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Self-driving Cars Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Self-driving Cars Market Outlook, By LiDAR (Light Detection and Ranging) (2022-2030) ($MN)
  • Table 5 Global Self-driving Cars Market Outlook, By Radar Sensors (2022-2030) ($MN)
  • Table 6 Global Self-driving Cars Market Outlook, By Cameras (2022-2030) ($MN)
  • Table 7 Global Self-driving Cars Market Outlook, By Ultrasonic Sensors (2022-2030) ($MN)
  • Table 8 Global Self-driving Cars Market Outlook, By AI-Based Processors & GPUs (2022-2030) ($MN)
  • Table 9 Global Self-driving Cars Market Outlook, By GPS & Navigation Systems (2022-2030) ($MN)
  • Table 10 Global Self-driving Cars Market Outlook, By 5G & Cloud Connectivity (2022-2030) ($MN)
  • Table 11 Global Self-driving Cars Market Outlook, By Software (2022-2030) ($MN)
  • Table 12 Global Self-driving Cars Market Outlook, By AI & Machine Learning Algorithms (2022-2030) ($MN)
  • Table 13 Global Self-driving Cars Market Outlook, By Advanced Driver Assistance Systems (ADAS) Software (2022-2030) ($MN)
  • Table 14 Global Self-driving Cars Market Outlook, By Autonomous Driving Platforms (2022-2030) ($MN)
  • Table 15 Global Self-driving Cars Market Outlook, By Cloud-Based Data Processing & Mapping (2022-2030) ($MN)
  • Table 16 Global Self-driving Cars Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 17 Global Self-driving Cars Market Outlook, By Propulsion (2022-2030) ($MN)
  • Table 18 Global Self-driving Cars Market Outlook, By Internal Combustion Engine (ICE) Vehicles (2022-2030) ($MN)
  • Table 19 Global Self-driving Cars Market Outlook, By Hybrid Vehicles (2022-2030) ($MN)
  • Table 20 Global Self-driving Cars Market Outlook, By Electric Vehicles (2022-2030) ($MN)
  • Table 21 Global Self-driving Cars Market Outlook, By Hydrogen Fuel Cell Vehicles (2022-2030) ($MN)
  • Table 22 Global Self-driving Cars Market Outlook, By Other Propulsions (2022-2030) ($MN)
  • Table 23 Global Self-driving Cars Market Outlook, By Level of Autonomy (2022-2030) ($MN)
  • Table 24 Global Self-driving Cars Market Outlook, By Level 0 (No Automation) (2022-2030) ($MN)
  • Table 25 Global Self-driving Cars Market Outlook, By Level 1 (Driver Assistance) (2022-2030) ($MN)
  • Table 26 Global Self-driving Cars Market Outlook, By Level 2 (Partial Automation) (2022-2030) ($MN)
  • Table 27 Global Self-driving Cars Market Outlook, By Level 3 (Conditional Automation) (2022-2030) ($MN)
  • Table 28 Global Self-driving Cars Market Outlook, By Level 4 (High Automation) (2022-2030) ($MN)
  • Table 29 Global Self-driving Cars Market Outlook, By Level 5 (Full Automation) (2022-2030) ($MN)
  • Table 30 Global Self-driving Cars Market Outlook, By Vehicle (2022-2030) ($MN)
  • Table 31 Global Self-driving Cars Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 32 Global Self-driving Cars Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 33 Global Self-driving Cars Market Outlook, By Other Vehicles (2022-2030) ($MN)
  • Table 34 Global Self-driving Cars Market Outlook, By Application (2022-2030) ($MN)
  • Table 35 Global Self-driving Cars Market Outlook, By Ride-Hailing & Robo-Taxis (2022-2030) ($MN)
  • Table 36 Global Self-driving Cars Market Outlook, By Personal Mobility (2022-2030) ($MN)
  • Table 37 Global Self-driving Cars Market Outlook, By Public Transport (2022-2030) ($MN)
  • Table 38 Global Self-driving Cars Market Outlook, By Freight & Logistics (2022-2030) ($MN)
  • Table 39 Global Self-driving Cars Market Outlook, By Other Applications (2022-2030) ($MN)

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