查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1733261

全球自动驾驶汽车市场规模（依自主程度、组件、应用、区域范围、预测）

Global Autonomous Cars Market Size By Level Of Autonomy (Level 1, Level 2, Level 3, Level 4, Level 5 ), By Component, By Application, By Geographic Scope And Forecast
出版日期: | 出版商: Verified Market Research | 英文 202 Pages | 商品交期: 2-3个工作天内

价格
简介目录

自动驾驶汽车市场规模及预测

预计 2024 年自动驾驶汽车市场规模将达到 29.8 亿美元，到 2032 年将达到 218.4 亿美元，在 2026-2032 年预测期内的复合年增长率为 31.19%。

自动驾驶汽车，也称为无人驾驶汽车或无人驾驶汽车，是一种能够感知周围环境并无需人类干预即可自行驾驶的汽车。

这些车辆使用感测器和软体的组合来控制、导航和驾驶车辆。

此外，自动驾驶汽车正在开发中，以减少道路事故、改善交通流量、提高老年人和残障人士的旅行能力并降低能源消耗。

自动驾驶汽车市场动态

影响自动驾驶汽车市场的关键市场动态是：

关键市场驱动因素

日益关注道路安全并减少事故：日益关注道路安全是自动驾驶汽车发展的主要驱动力。美国公路交通安全管理局 (NHTSA) 估计，大约 94% 的严重事故都是由人为错误造成的。自动驾驶技术的引进正是为了防止此类事故的发生。自动驾驶汽车旨在消除驾驶中的人为因素，每年可能挽救数千人的生命。随着政府和消费者寻求创新方法来提高交通安全，对提高道路安全的关注正在推动对自动驾驶汽车的需求。

人工智慧和感测器系统的技术进步：人工智慧 (AI) 和感测器技术的快速突破正在推动自动驾驶汽车领域的发展。美国运输部强调，光达、摄影机和雷达等感测器技术的进步提高了车辆在复杂环境中行驶的能力。这些技术使车辆能够感知周围环境，即时做出决策，并提高整体驾驶性能。随着这些技术的进步，它们在车辆上的应用有望推动自动驾驶汽车市场的成长。

对行动解决方案的需求不断增加并减少交通拥堵：对高效移动解决方案的需求不断增加正在推动自动驾驶汽车市场的发展。美国人口普查局指出，由于城市人口不断增长，大城市的交通拥堵问题日益严重。自动驾驶汽车可以透过改善交通流量、减少旅行时间和提供便利的转换选择来帮助解决这个问题。此外，由自动驾驶技术支援的共乘服务的兴起正在重新定义出行方式，使这些车辆对寻求高效、经济交通方式的消费者更具吸引力。

主要问题

开发和部署成本高：开发自动驾驶汽车需要在研究、测试和先进技术方面进行大量投资。感测器、运算系统和软体开发的高成本对其广泛采用构成了挑战，尤其是对于中小型企业而言。

道德与法律问题：自动驾驶汽车的引入引发了复杂的道德和法律问题，包括发生事故时的责任以及危机情况下人工智慧系统的决策流程。解决这些问题对于公众接受和监管部门核准至关重要。

网路安全风险：自动驾驶汽车严重依赖连网系统和资料交换，因此容易受到网路攻击。确保强有力的网路安全措施以防止骇客攻击和未授权存取是该行业面临的主要挑战。

公众信任与接受：赢得大众对自动驾驶汽车安全性和可靠性的信心仍然是一个主要障碍。为了获得广泛认可，需要解决对复杂交通情况下失去控制的担忧以及人工智慧决策的可靠性。

主要趋势

5G技术的融合：5G网路的推出可望显着增强自动驾驶汽车的能力。 5G 实现的高速、低延迟通讯将改善车对车 (V2V) 和车对基础设施 (V2I)通讯，提高安全性和效率。

开发高清地图：正在开发高清 (HD) 地图，为自动驾驶汽车提供厘米级精度的详细道路环境。这些地图对于准确定位和导航至关重要，尤其是在复杂的城市环境中。

感测器融合和先进的感知系统：包括光达、雷达、摄影机和超音波感测器在内的多种感测器技术的整合正在不断改进，从而为自动驾驶汽车创建更强大、更可靠的感知系统。这种感测器融合方法旨在克服单一感测器类型的局限性，并提供对车辆周围环境的更全面的了解。

自动驾驶汽车市场区域分析

自动驾驶汽车市场区域分析

北美洲

根据 Verified Market Research 的调查，预计北美将在预测期内主导自动驾驶汽车市场。北美地区受益于政府对自动驾驶汽车开发和部署的大力支持。 2021年，美国政府公布了一项1.2兆美元的基础设施法案，旨在改善交通系统，其中还包括对自动驾驶汽车技术研发的资助。这种支持正在激发创新并鼓励製造商投资自动驾驶汽车开发，从而加速市场成长。

北美消费者越来越寻求车辆中先进的技术功能，从而推动了对自动驾驶汽车的需求。根据美国汽车协会（AAA）的调查，近60%的美国对自动驾驶汽车感兴趣。随着消费者寻求融合最尖端科技的现代交通解决方案，对改进安全性、连接性和便利性的日益增长的需求正在推动该地区采用自动驾驶汽车。

此外，北美城市人口的成长导致交通拥挤加剧，需要高效率的交通解决方案。美国人口普查局报告称，截至 2020 年，超过 82% 的美国人口居住在都市区。自动驾驶汽车被视为缓解交通问题的潜在解决方案，它可以透过共用移动服务来优化交通流量并减少道路上的车辆数量。对高效城市交通的需求正在推动该地区自动驾驶汽车市场的成长。

亚太地区

预计在预测期内，亚太地区自动驾驶汽车市场将出现最高的成长率。亚太地区正在经历快速都市化，联合国预测，到2050年，该地区约66%的人口将居住在都市区。城市的快速发展导致交通拥挤加剧，对创新交通解决方案的需求也日益增长。自动驾驶汽车被视为有效管理城市交通、提高机动性和减少拥塞的可行解决方案，从而推动该地区的市场成长。

包括中国、日本和新加坡在内的亚太地区许多国家都实施了优惠的政府政策来鼓励自动驾驶汽车的开发和应用。例如，中国政府宣布了「中国製造2025」计划，优先推动自动驾驶技术的进步。这些法律规范和财政奖励支持研发工作，促进该地区的市场扩张。

此外，亚太地区技术进步迅速，智慧基础设施投资极大地推动了自动驾驶汽车市场的发展。韩国和日本等国家在开发整合自动驾驶汽车技术的先进通讯网路和智慧城市计划处于领先地位。例如，5G网路的部署将增强车对一切（V2X）通讯，提高自动驾驶汽车的安全性和效率，预计将进一步刺激市场成长。

自动驾驶汽车市场：細項分析

自动驾驶汽车市场按自主性等级、组件、应用和地区细分。

自动驾驶汽车市场（按自动驾驶等级划分）

  • 1级（驾驶辅助）
  • 2 级（部分自动化）
  • 3级（有条件自动化）
  • 4级（高度自动化）
  • 5级（全自动）

根据自动化程度，市场分为 1 级（辅助驾驶）、2 级（部分自动化）、3 级（有条件自动化）、4 级（高度自动化）和 5 级（完全自动化）。由于 2 级自动驾驶在消费性车辆中的广泛应用以及 ADAS（高级驾驶辅助系统）的日益普及，预计 2 级自动驾驶领域将暂时占据市场主导地位。 2 级技术支援主动车距控制巡航系统和车道维持援助等功能，无需完全控制车辆即可提高安全性和便利性。随着汽车製造商继续为其车型配备 2 级功能，消费者对这些功能的接受度和需求将会增加。这一细分市场受益于价格与功能之间的平衡，对製造商和消费者都具有吸引力。

自动驾驶汽车市场（按零件划分）

  • 硬体
  • 软体
  • 服务

根据组件，市场分为硬体、软体和服务。由于各种物理部件在自动驾驶汽车的运行中发挥着至关重要的作用，因此硬体部分估计目前占据市场主导地位。关键硬体组件包括感测器、摄影机、光达、雷达和处理单元，所有这些对于实现安全导航和操作所需的即时数据收集和分析都至关重要。随着技术的进步，对复杂硬体解决方案的需求日益增长，从而导致汽车製造商和科技公司进行大量投资。随着自动驾驶系统变得越来越复杂，对能够在各种环境下可靠运行的高品质硬体的需求也越来越大。

自动驾驶汽车市场（按应用）

  • 运输
  • 防御

根据应用，自动驾驶汽车市场分为交通运输和国防领域。由于都市区对高效、安全的移动解决方案的需求不断增加，预计交通运输部门将在整个预测期内占据市场主导地位。自动驾驶汽车的开发是为了解决各种交通难题，包括交通拥堵、停车位不足以及加强安全措施的需要。共乘服务和最后一哩配送解决方案的兴起正在加速自动驾驶汽车在交通运输领域的应用。主要汽车製造商和科技公司正在积极投资研发，以将全自动驾驶汽车推向市场，从而加强整个交通生态系统。

主要参与企业

  • 自动驾驶汽车市场研究报告重点关注全球市场，提供了宝贵的见解。该市场的主要参与企业包括 Waymo LLC（Alphabet Inc. 的子公司）、特斯拉公司、通用汽车公司（Cruise LLC）、福特汽车公司（Argo AI）、百度公司、丰田汽车公司、大众汽车公司、宝马公司、戴姆勒公司（梅赛德斯-奔驰）和英伟达公司。

我们的市场分析还设有专门针对这些主要企业的部分，我们的分析师在其中提供所有主要企业的财务报表见解以及产品基准评效和 SWOT 分析。竞争格局部分还包括全球上述参与企业的关键发展策略、市场占有率和市场排名分析。

  • 自动驾驶汽车市场的最新趋势
  • 2023年3月，Waymo将在亚利桑那州凤凰城推出全自动叫车服务，扩大其营运区域，并在城市出行解决方案方面取得重大进展。该服务利用配备先进人工智慧技术的自动驾驶汽车来应对复杂的交通状况，同时确保乘客安全。
  • 2023 年 1 月，通用汽车推出了最新专为共享出行设计的电动自动驾驶汽车 Cruise Origin。这款全电动式无人驾驶汽车旨在透过为共乘服务提供高效、零排放的解决方案来改善城市交通，并体现了通用汽车对永续和创新交通的承诺。
  • 2022 年 10 月，特斯拉推出了其全自动驾驶 (FSD) 软体的更新版本，带来了改进的导航和障碍物感知功能。此次升级提高了特斯拉自动驾驶汽车的整体性能，使其更接近 5 级自动驾驶，同时解决了安全问题和监管要求。

目录

第一章 全球自动驾驶汽车市场简介

  • 市场概览
  • 研究范围
  • 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

  • 资料探勘
  • 验证
  • 第一手资料
  • 资料来源列表

第四章 自动驾驶汽车全球市场展望

  • 概述
  • 市场动态
    • 驱动程式
    • 限制因素
    • 机会
  • 波特五力模型
  • 价值链分析

第五章 全球自动驾驶汽车市场（按自动驾驶等级）

  • 概述
  • 1级（驾驶辅助）
  • 2 级（部分自动化）
  • 3级（有条件自动化）
  • 4级（高度自动化）
  • 5级（全自动）

第六章全球自动驾驶汽车市场（按零件）

  • 概述
  • 硬体
  • 软体
  • 服务

第七章全球自动驾驶汽车市场（按应用）

  • 概述
  • 运输
  • 防御

第八章全球自动驾驶汽车市场（按地区）

  • 概述
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 其他的
    • 拉丁美洲
    • 中东

第九章全球自动驾驶汽车市场的竞争格局

  • 概述
  • 各公司市场排名
  • 重点发展策略

第十章 公司简介

  • Waymo LLC（Alphabet Inc. 的子公司）
  • Tesla Inc.
  • General Motors Company（Cruise LLC）
  • Ford Motor Company（Argo AI）
  • Baidu Inc.
  • Toyota Motor Corporation
  • Volkswagen AG
  • BMW AG
  • Daimler AG（Mercedes-Benz）
  • Nvidia Corporation

第十一章 附录

  • 相关调查
简介目录
Product Code: 33883

Autonomous Cars Market Size And Forecast

Autonomous Cars Market size was valued at USD 2.98 Billion in 2024 and is projected to reach USD 21.84 Billion by 2032, growing at a CAGR of 31.19% from 2026-2032.

Autonomous cars, also known as self-driving cars or driverless cars, are vehicles capable of sensing their environment and operating without human involvement.

These vehicles combine sensors and software to control, navigate, and drive the vehicle.

Furthermore, autonomous cars are being developed to reduce traffic accidents, improve traffic flow, enhance mobility for the elderly and disabled, and reduce energy consumption.

Autonomous Cars Market Dynamics

The key market dynamics that are shaping the Autonomous Cars Market include:

Key Market Drivers

Increasing focus on road safety and accident reduction: The growing concern about road safety is a major force behind the development of self-driving cars. The National Highway Traffic Safety Administration (NHTSA) estimates that human error causes around 94% of major crashes. The incorporation of autonomous driving technology intends to prevent these incidents, as self-driving cars are intended to eliminate the human factor in driving, potentially saving thousands of lives each year. The focus on improving road safety is the driving demand for self-driving cars as governments and consumers seek innovative ways to improve transportation safety.

Technological advancements in artificial intelligence and sensor systems: Rapid breakthroughs in artificial intelligence (AI) and sensor technology are propelling the autonomous vehicle sector. The U.S. Department of Transportation emphasizes that advances in sensor technology, including LIDAR, cameras, and radar, have increased vehicles' capacity to navigate complex surroundings. These technologies allow vehicles to perceive their surroundings, make real-time judgments, and improve overall driving performance. As these technologies advance, their implementation into vehicles is projected to accelerate the growth of the autonomous vehicle market.

Growing demand for mobility solutions and reduced traffic congestion: The growing demand for efficient mobility solutions is boosting the autonomous vehicle market. The United States Census Bureau indicated that urban populations are growing, resulting in increased traffic congestion in major cities. Autonomous vehicles assist address this issue by improving traffic flow, shortening travel times, and providing convenient transit options. Furthermore, the rise of ride-sharing services that use self-driving technology is redefining mobility, making these vehicles more appealing to consumers seeking efficient and cost-effective transportation options.

Key Challenges:

High Development and Implementation Costs: The development of autonomous vehicles requires significant investment in research, testing, and advanced technologies. The high costs associated with sensors, computing systems, and software development pose a challenge to widespread adoption, particularly for smaller companies.

Ethical and Legal Concerns: The deployment of autonomous vehicles raises complex ethical and legal questions, such as liability in the event of accidents and the decision-making processes of AI systems in critical situations. Resolving these issues is crucial for public acceptance and regulatory approval.

Cybersecurity Risks: As autonomous vehicles rely heavily on connected systems and data exchange, they are potentially vulnerable to cyber-attacks. Ensuring robust cybersecurity measures to protect against hacking and unauthorized access is a significant challenge for the industry.

Public Trust and Acceptance: Gaining public trust in the safety and reliability of autonomous vehicles remains a significant hurdle. Concerns about the loss of control and the reliability of AI decision-making in complex traffic situations need to be addressed to achieve widespread acceptance.

Key Trends:

Integration of 5G Technology: The rollout of 5G networks is expected to significantly enhance the capabilities of autonomous vehicles. The high-speed, low-latency communication enabled by 5G will allow for better vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, improving safety and efficiency.

Development of HD Mapping: High-definition (HD) maps are being developed to provide autonomous vehicles with detailed, centimeter-level accuracy of road environments. These maps are crucial for precise localization and navigation, especially in complex urban environments.

Sensor Fusion and Advanced Perception Systems: The integration of multiple sensor technologies, including LiDAR, radar, cameras, and ultrasonic sensors, is being refined to create more robust and reliable perception systems for autonomous vehicles. This sensor fusion approach aims to overcome the limitations of individual sensor types and provide a more comprehensive understanding of the vehicle's surroundings.

Autonomous Cars Market Regional Analysis

The regional analysis of the Autonomous Cars Market:

North America

According to Verified Market Research, North America is estimated to dominate the Autonomous Cars Market over the forecast period. The North American region benefits from significant government backing for the development and deployment of autonomous vehicles. In 2021, the U.S. government announced a $1.2 trillion infrastructure bill aimed at improving transportation systems, which includes funding for research and development of autonomous vehicle technologies. This support fosters innovation, encouraging manufacturers to invest in autonomous vehicle development and accelerating market growth.

North American consumers exhibit a strong preference for advanced technological features in their vehicles, driving demand for autonomous cars. According to a survey by the American Automobile Association (AAA), nearly 60% of Americans expressed interest in self-driving cars. The increasing desire for enhanced safety features, connectivity, and convenience is propelling the adoption of autonomous vehicles in the region, as consumers seek modern transportation solutions that incorporate cutting-edge technology.

Furthermore, the rising urban population in North America is contributing to increased traffic congestion, creating a need for efficient transportation solutions. The U.S. Census Bureau reported that over 82% of the U.S. population lived in urban areas as of 2020. Autonomous vehicles are seen as a potential solution to alleviate traffic issues by optimizing traffic flow and reducing the number of vehicles on the road through shared mobility services. This demand for efficient urban transportation is driving the growth of the Autonomous Cars Market in the region.

Asia Pacific

The Asia Pacific region is estimated to exhibit the highest growth rate in the Autonomous Cars Market during the forecast period. The Asia-Pacific region is experiencing significant urbanization, with the United Nations projecting that by 2050, around 66% of the population in the region will reside in urban areas. This rapid urban growth contributes to increased traffic congestion and demand for innovative transportation solutions. Autonomous vehicles are viewed as a viable solution to manage urban traffic effectively, improve mobility, and reduce congestion, thus driving the market's growth in this region.

Many countries in the Asia-Pacific region, including China, Japan, and Singapore, have implemented favorable government policies to promote the development and adoption of autonomous vehicles. For instance, the Chinese government announced its "Made in China 2025" initiative, which prioritizes the advancement of autonomous driving technology. These regulatory frameworks and financial incentives support research and development efforts, facilitating market expansion in the region.

Furthermore, the Asia-Pacific region is witnessing rapid technological advancements and investments in smart infrastructure, which significantly drive the Autonomous Cars Market. Countries like South Korea and Japan are leading the way in developing advanced communication networks and smart city projects that integrate autonomous vehicle technology. The deployment of 5G networks, for example, is expected to enhance vehicle-to-everything (V2X) communication, improving the safety and efficiency of autonomous vehicles and further stimulating market growth.

Autonomous Cars Market: Segmentation Analysis

The Autonomous Cars Market is Segmented based on Level of Autonomy, Component, Application, and Geography.

Autonomous Cars Market, By Level of Autonomy

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

Based on the Level of Autonomy, the market is segmented into Level 1 (Driver Assistance), Level 2 (Partial Automation), Level 3 (Conditional Automation), Level 4 (High Automation), and Level 5 (Full Automation). The level 2 segment is estimated to dominate the market in the near term due to its widespread adoption of consumer vehicles and the growing availability of advanced driver assistance systems (ADAS). Level 2 technology enables features such as adaptive cruise control and lane-keeping assistance, providing enhanced safety and convenience without fully taking control of the vehicle. As automotive manufacturers increasingly integrate Level 2 capabilities into their models, consumer acceptance and demand for such features are on the rise. This segment benefits from a balance of affordability and functionality, making it attractive to both manufacturers and consumers.

Autonomous Cars Market, By Component

  • Hardware
  • Software
  • Services

Based on Component, the market is segmented into Hardware, Software, and Services. The hardware segment is currently estimated to dominate the market due to the essential role that various physical components play in the operation of autonomous vehicles. Key hardware components include sensors, cameras, LiDAR, radar, and processing units, all of which are critical for enabling real-time data collection and analysis necessary for safe navigation and operation. As technology advances, the demand for sophisticated hardware solutions is increasing, leading to significant investments from automotive manufacturers and technology companies. The growing complexity of autonomous systems requires high-quality hardware that performs reliably in diverse environments.

Autonomous Cars Market, By Application

  • Transportation
  • Defense

Based on Application, the market is segmented into Transportation, and Defense. The transportation segment is estimated to dominate the market throughout the forecast period due to the increasing demand for efficient and safe mobility solutions in urban and suburban areas. Autonomous vehicles are developed to address various transportation challenges, such as traffic congestion, parking shortages, and the need for enhanced safety measures. With the rise of ride-sharing services and last-mile delivery solutions, the adoption of autonomous vehicles in the transportation sector is accelerating. Major automotive manufacturers and technology companies are actively investing in research and development to bring fully autonomous vehicles to market, enhancing the overall transportation ecosystem.

Key Players

  • The "Autonomous Cars Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Waymo LLC (a subsidiary of Alphabet Inc.), Tesla Inc., General Motors Company (Cruise LLC), Ford Motor Company (Argo AI), Baidu Inc., Toyota Motor Corporation, Volkswagen AG, BMW AG, Daimler AG (Mercedes-Benz), and Nvidia Corporation.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

  • Autonomous Cars Market Recent Developments
  • In March 2023, Waymo launched its fully autonomous ride-hailing service in Phoenix, Arizona, expanding its operational territory and making significant strides in urban mobility solutions. This service utilizes a fleet of self-driving vehicles equipped with advanced AI technology to navigate complex traffic situations while ensuring passenger safety.
  • In January 2023, General Motors unveiled its latest electric autonomous vehicle, the Cruise Origin, designed for shared mobility. This all-electric, driverless vehicle aims to enhance urban transportation by providing an efficient, zero-emission solution for ridesharing services, demonstrating GM's commitment to sustainable and innovative transportation options.
  • In October 2022, Tesla introduced an updated version of its Full Self-Driving (FSD) software, enabling improved navigation and obstacle detection capabilities. This upgrade enhances the overall performance of Tesla's autonomous vehicles, bringing them closer to achieving Level 5 automation while addressing safety concerns and regulatory requirements.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL AUTONOMOUS CARS MARKET

  • 1.1 Overview of the Market
  • 1.2 Scope of Report
  • 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

  • 3.1 Data Mining
  • 3.2 Validation
  • 3.3 Primary Interviews
  • 3.4 List of Data Sources

4 GLOBAL AUTONOMOUS CARS MARKET OUTLOOK

  • 4.1 Overview
  • 4.2 Market Dynamics
    • 4.2.1 Drivers
    • 4.2.2 Restraints
    • 4.2.3 Opportunities
  • 4.3 Porters Five Force Model
  • 4.4 Value Chain Analysis

5 GLOBAL AUTONOMOUS CARS MARKET, BY LEVEL OF AUTONOMY

  • 5.1 Overview
  • 5.2 Level1 (Driver Assistance)
  • 5.3 Level 2 (Partial Automation)
  • 5.4 Level 3 (Conditional Automation)
  • 5.5 Level 4 (High Automation)
  • 5.6 Level 5 (Full Automation)

6 GLOBAL AUTONOMOUS CARS MARKET, BY COMPONENT

  • 6.1 Overview
  • 6.2 Hardware
  • 6.3 Software
  • 6.4 Services

7 GLOBAL AUTONOMOUS CARS MARKET, BY APPLICATION

  • 7.1 Overview
  • 7.2 Transportation
  • 7.3 Defense

8 GLOBAL AUTONOMOUS CARS MARKET, BY GEOGRAPHY

  • 8.1 Overview
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 U.K.
    • 8.3.3 France
    • 8.3.4 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Rest of Asia Pacific
  • 8.5 Rest of the World
    • 8.5.1 Latin America
    • 8.5.2 Middle East

9 GLOBAL AUTONOMOUS CARS MARKET COMPETITIVE LANDSCAPE

  • 9.1 Overview
  • 9.2 Company Market Ranking
  • 9.3 Key Development Strategies

10 COMPANY PROFILES

  • 10.1 Waymo LLC (a subsidiary of Alphabet Inc.)
    • 10.1.1 Overview
    • 10.1.2 Financial Performance
    • 10.1.3 Product Outlook
    • 10.1.4 Key Developments
  • 10.2 Tesla Inc.
    • 10.2.1 Overview
    • 10.2.2 Financial Performance
    • 10.2.3 Product Outlook
    • 10.2.4 Key Developments
  • 10.3 General Motors Company (Cruise LLC)
    • 10.3.1 Overview
    • 10.3.2 Financial Performance
    • 10.3.3 Product Outlook
    • 10.3.4 Key Developments
  • 10.4 Ford Motor Company (Argo AI)
    • 10.4.1 Overview
    • 10.4.2 Financial Performance
    • 10.4.3 Product Outlook
    • 10.4.4 Key Developments
  • 10.5 Baidu Inc.
    • 10.5.1 Overview
    • 10.5.2 Financial Performance
    • 10.5.3 Product Outlook
    • 10.5.4 Key Developments
  • 10.6 Toyota Motor Corporation
    • 10.6.1 Overview
    • 10.6.2 Financial Performance
    • 10.6.3 Product Outlook
    • 10.6.4 Key Developments
  • 10.7 Volkswagen AG
    • 10.7.1 Overview
    • 10.7.2 Financial Performance
    • 10.7.3 Product Outlook
    • 10.7.4 Key Developments
  • 10.8 BMW AG
    • 10.8.1 Overview
    • 10.8.2 Financial Performance
    • 10.8.3 Product Outlook
    • 10.8.4 Key Developments
  • 10.9 Daimler AG (Mercedes-Benz)
    • 10.9.1 Overview
    • 10.9.2 Financial Performance
    • 10.9.3 Product Outlook
    • 10.9.4 Key Developments
  • 10.10 Nvidia Corporation
    • 10.10.1 Overview
    • 10.10.2 Financial Performance
    • 10.10.3 Product Outlook
    • 10.10.4 Key Developments

11 Appendix

  • 11.1 Related Research