查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1733261

全球自動駕駛汽車市場規模（依自主程度、組件、應用、區域範圍、預測）

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個工作天內

價格
簡介目錄

自動駕駛汽車市場規模及預測

預計 2024 年自動駕駛汽車市場規模將達到 29.8 億美元，到 2032 年將達到 218.4 億美元，在 2026-2032 年預測期內的複合年成長率為 31.19%。

自動駕駛汽車，也稱為無人駕駛汽車或無人駕駛汽車，是一種能夠感知周圍環境並無需人類干預即可自行駕駛的汽車。

這些車輛使用感測器和軟體的組合來控制、導航和駕駛車輛。

此外，自動駕駛汽車正在開發中，以減少道路事故、改善交通流量、提高老年人和殘障人士的旅行能力並降低能源消耗。

自動駕駛汽車市場動態

影響自動駕駛汽車市場的關鍵市場動態是：

關鍵市場促進因素

日益關注道路安全並減少事故：日益關注道路安全是自動駕駛汽車發展的主要驅動力。美國公路交通安全管理局 (NHTSA) 估計，大約 94% 的嚴重事故都是由人為錯誤造成的。自動駕駛技術的引進正是為了防止此類事故的發生。自動駕駛汽車旨在消除駕駛中的人為因素，每年可能挽救數千人的生命。隨著政府和消費者尋求創新方法來提高交通安全，對提高道路安全的關注正在推動對自動駕駛汽車的需求。

人工智慧和感測器系統的技術進步：人工智慧 (AI) 和感測器技術的快速突破正在推動自動駕駛汽車領域的發展。美國運輸部強調，LiDAR、攝影機和雷達等感測器技術的進步提高了車輛在複雜環境中行駛的能力。這些技術使車輛能夠感知周圍環境，即時做出決策，並提高整體駕駛性能。隨著這些技術的進步，它們在車輛上的應用有望推動自動駕駛汽車市場的成長。

對行動解決方案的需求不斷增加並減少交通堵塞：對高效移動解決方案的需求不斷增加正在推動自動駕駛汽車市場的發展。美國人口普查局指出，由於城市人口不斷成長，大城市的交通堵塞問題日益嚴重。自動駕駛汽車可以透過改善交通流量、減少旅行時間和提供便利的轉換選擇來幫助解決這個問題。此外，由自動駕駛技術支援的共乘服務的興起正在重新定義出行方式，使這些車輛對尋求高效、經濟交通方式的消費者更具吸引力。

主要問題

開發和部署成本高：開發自動駕駛汽車需要在研究、測試和先進技術方面進行大量投資。感測器、運算系統和軟體開發的高成本對其廣泛採用構成了挑戰，尤其是對於中小型企業而言。

道德與法律問題：自動駕駛汽車的引入引發了複雜的道德和法律問題，包括發生事故時的責任以及危機情況下人工智慧系統的決策流程。解決這些問題對於公眾接受和監管部門核准至關重要。

網路安全風險：自動駕駛汽車嚴重依賴連網系統和資料交換，因此容易受到網路攻擊。確保強力的網路安全措施以防止駭客攻擊和未授權存取是該行業面臨的主要挑戰。

公眾信任與接受：贏得大眾對自動駕駛汽車安全性和可靠性的信心仍然是一個主要障礙。為了獲得廣泛認可，需要解決對複雜交通情況下失去控制的擔憂以及人工智慧決策的可靠性。

主要趨勢

5G技術的融合：5G網路的推出可望顯著增強自動駕駛汽車的能力。 5G 實現的高速、低延遲通訊將改善車對車 (V2V) 和車對基礎設施 (V2I)通訊，提高安全性和效率。

開發高清地圖：正在開發高清 (HD) 地圖，為自動駕駛汽車提供厘米級精度的詳細道路環境。這些地圖對於準確定位和導航至關重要，尤其是在複雜的城市環境中。

感測器融合和先進的感知系統：包括LiDAR、雷達、攝影機和超音波感測器在內的多種感測器技術的整合正在不斷改進，從而為自動駕駛汽車創建更強大、更可靠的感知系統。這種感測器融合方法旨在克服單一感測器類型的局限性，並提供對車輛周圍環境的更全面的了解。

自動駕駛汽車市場區域分析

自動駕駛汽車市場區域分析

北美洲

根據 Verified Market Research 的調查，預計北美將在預測期內主導自動駕駛汽車市場。北美地區受益於政府對自動駕駛汽車開發和部署的大力支持。 2021年，美國政府公佈了一項1.2兆美元的基礎設施法案，旨在改善交通系統，其中還包括對自動駕駛汽車技術研發的資助。這種支持正在激發創新並鼓勵製造商投資自動駕駛汽車開發，從而加速市場成長。

北美消費者越來越尋求車輛中先進的技術功能，從而推動了對自動駕駛汽車的需求。根據美國汽車協會（AAA）的調查，近60%的美國對自動駕駛汽車感興趣。隨著消費者尋求融合最尖端科技的現代交通解決方案，對改進安全性、連接性和便利性的日益成長的需求正在推動該地區採用自動駕駛汽車。

此外，北美城市人口的成長導致交通擁擠加劇，需要高效率的交通解決方案。美國人口普查局報告稱，截至 2020 年，超過 82% 的美國人口居住在都市區。自動駕駛汽車被視為緩解交通問題的潛在解決方案，它可以透過共用移動服務來最佳化交通流量並減少道路上的車輛數量。對高效城市交通的需求正在推動該地區自動駕駛汽車市場的成長。

亞太地區

預計在預測期內，亞太地區自動駕駛汽車市場將出現最高的成長率。亞太地區正在經歷快速都市化，聯合國預測，到2050年，該地區約66%的人口將居住在都市區。城市的快速發展導致交通擁擠加劇，對創新交通解決方案的需求也日益成長。自動駕駛汽車被視為有效管理城市交通、提高機動性和減少擁塞的可行解決方案，從而推動該地區的市場成長。

包括中國、日本和新加坡在內的亞太地區許多國家都實施了優惠的政府政策來鼓勵自動駕駛汽車的開發和應用。例如，中國政府宣布了「中國製造2025」計劃，優先推動自動駕駛技術的進步。這些法律規範和財政獎勵支持研發工作，促進該地區的市場擴張。

此外，亞太地區技術進步迅速，智慧基礎設施投資極大地推動了自動駕駛汽車市場的發展。韓國和日本等國家在開發整合自動駕駛汽車技術的先進通訊網路和智慧城市計劃處於領先地位。例如，5G網路的部署將增強車對一切（V2X）通訊，提高自動駕駛汽車的安全性和效率，預計將進一步刺激市場成長。

自動駕駛汽車市場：細分分析

自動駕駛汽車市場按自主性等級、組件、應用和地區細分。

自動駕駛汽車市場（按自動駕駛等級分類）

  • 1級（駕駛輔助）
  • 2 級（部分自動化）
  • 3級（有條件自動化）
  • 4級（高度自動化）
  • 5級（全自動）

根據自動化程度，市場分為 1 級（輔助駕駛）、2 級（部分自動化）、3 級（有條件自動化）、4 級（高度自動化）和 5 級（完全自動化）。由於 2 級自動駕駛在消費性車輛中的廣泛應用以及 ADAS（高級駕駛輔助系統）的日益普及，預計 2 級自動駕駛領域將暫時佔據市場主導地位。 2 級技術支援主動車距控制巡航系統和車道維持援助等功能，無需完全控制車輛即可提高安全性和便利性。隨著汽車製造商繼續為其車型配備 2 級功能，消費者對這些功能的接受度和需求將會增加。這一細分市場受益於價格與功能之間的平衡，對製造商和消費者都具有吸引力。

自動駕駛汽車市場（按零件分類）

  • 硬體
  • 軟體
  • 服務

根據組件，市場分為硬體、軟體和服務。由於各種物理部件在自動駕駛汽車的運行中發揮著至關重要的作用，因此硬體部分估計目前佔據市場主導地位。關鍵硬體組件包括感測器、攝影機、LiDAR、雷達和處理單元，所有這些對於實現安全導航和操作所需的即時數據收集和分析都至關重要。隨著技術的進步，對複雜硬體解決方案的需求日益成長，從而導致汽車製造商和科技公司進行大量投資。隨著自動駕駛系統變得越來越複雜，對能夠在各種環境下可靠運行的高品質硬體的需求也越來越大。

自動駕駛汽車市場（按應用）

  • 運輸
  • 防禦

根據應用，自動駕駛汽車市場分為交通運輸和國防領域。由於都市區對高效、安全的移動解決方案的需求不斷增加，預計交通運輸部門將在整個預測期內佔據市場主導地位。自動駕駛汽車的開發是為了解決各種交通難題，包括交通堵塞、停車位不足以及加強安全措施的需要。共乘服務和最後一哩配送解決方案的興起正在加速自動駕駛汽車在交通運輸領域的應用。主要汽車製造商和科技公司正在積極投資研發，以將全自動駕駛汽車推向市場，從而加強整個交通生態系統。

主要參與企業

  • 自動駕駛汽車市場研究報告重點關注全球市場，提供了寶貴的見解。該市場的主要參與企業包括 Waymo LLC（Alphabet Inc. 的子公司）、特斯拉公司、通用汽車公司（Cruise LLC）、福特汽車公司（Argo AI）、百度公司、豐田汽車公司、大眾汽車公司、寶馬公司、戴姆勒公司（梅賽德斯-奔馳）和英偉達公司。

我們的市場分析還設有專門針對這些主要企業的部分，我們的分析師在其中提供所有主要企業的財務報表見解以及產品基準評效和 SWOT 分析。競爭格局部分還包括全球上述參與企業的關鍵發展策略、市場佔有率和市場排名分析。

  • 自動駕駛汽車市場的最新趨勢
  • 2023年3月，Waymo將在亞利桑那州鳳凰城推出全自動叫車服務，擴大其營運區域，並在城市出行解決方案方面取得重大進展。該服務利用配備先進人工智慧技術的自動駕駛汽車來應對複雜的交通狀況，同時確保乘客安全。
  • 2023 年 1 月，通用汽車推出了最新專為共享出行設計的電動自動駕駛汽車 Cruise Origin。這款全電動式無人駕駛汽車旨在透過為共乘服務提供高效、零排放的解決方案來改善城市交通，並體現了通用汽車對永續和創新交通的承諾。
  • 2022 年 10 月，特斯拉推出了其全自動駕駛 (FSD) 軟體的更新版本，帶來了改進的導航和障礙物感知功能。此次升級提高了特斯拉自動駕駛汽車的整體性能，使其更接近 5 級自動駕駛，同時解決了安全問題和監管要求。

目錄

第1章 全球自動駕駛汽車市場簡介

  • 市場概覽
  • 研究範圍
  • 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

  • 資料探勘
  • 驗證
  • 第一手資料
  • 資料來源列表

第4章 自動駕駛汽車全球市場展望

  • 概述
  • 市場動態
    • 驅動程式
    • 限制因素
    • 機會
  • 波特五力模型
  • 價值鏈分析

第5章 全球自動駕駛汽車市場（按自動駕駛等級）

  • 概述
  • 1級（駕駛輔助）
  • 2 級（部分自動化）
  • 3級（有條件自動化）
  • 4級（高度自動化）
  • 5級（全自動）

第6章全球自動駕駛汽車市場（按零件）

  • 概述
  • 硬體
  • 軟體
  • 服務

第7章全球自動駕駛汽車市場（按應用）

  • 概述
  • 運輸
  • 防禦

第8章全球自動駕駛汽車市場（按地區）

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 其他
    • 拉丁美洲
    • 中東

第9章全球自動駕駛汽車市場的競爭格局

  • 概述
  • 各公司市場排名
  • 重點發展策略

第10章 公司簡介

  • 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11章 附錄

  • 相關調查
簡介目錄
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