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ADAS 自動駕駛車

市場調查報告書

商品編碼

2058868

2034年自動駕駛汽車市場預測－全球分析（依自動化程度、車輛類型、動力系統、零件、連網性、部署模式、所有權模式、應用、銷售管道和地區分類）

Autonomous Car Market Forecasts to 2034 - Global Analysis By Level of Automation, Vehicle Type, Propulsion Type, Component, Connectivity, Deployment, Ownership Model, Application, Sales Channel, and By Geography

出版日期: 2026年06月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球自動駕駛汽車市場規模將達到 50 億美元，並在預測期內以 29.8% 的複合年成長率成長，到 2034 年將達到 407 億美元。

自動駕駛汽車（也稱為無人駕駛汽車）利用先進的感測器、人工智慧和即時地圖技術，無需人工干預即可行駛和操控。這些車輛正在為交通途徑帶來變革性變化，有望提高安全性、緩解交通堵塞，並為沒有駕駛執照的人提供更多出行選擇。該市場涵蓋了從有條件自動駕駛（3級）到完全自動駕駛（5級）的各種自動化級別，其應用範圍廣泛，包括個人出行、共享交通服務以及正在重塑全球城市規劃和汽車所有權模式的智慧城市交通網路。

對提高道路安全和減少事故的需求日益成長

全球約90%的交通事故是由人為失誤造成的，這大大推動了自動駕駛汽車的普及。自動駕駛系統結合了雷射雷達、雷達和攝影機等感測器技術，持續監控路況，從而消除駕駛員的注意力分散、疲勞和駕駛能力下降等因素。這些車輛的反應速度遠遠超過人類，並且能夠相互通訊以避免碰撞，每年有望挽救數十萬人的生命。各國政府和保險公司越來越支持自動駕駛技術，認為它是減少致命事故和由此造成的經濟損失的有效途徑，並正在加快法規核准和基礎設施投資，以促進自動駕駛汽車在主要市場的廣泛部署。

高昂的研發和製造成本

儘管自動駕駛技術發展迅猛，但其所需的巨額投資仍限制了市場普及。每輛車都需要昂貴的組件，例如高解析度雷射雷達單元、冗餘計算系統和先進的軟體堆疊，這使得製造成本增加了數千美元。雖然主要製造商已投入數十億美元用於研發以實現完全自動駕駛，但由於法律規範發展緩慢，這些投資能否收回仍不明朗。高成本導致車輛價格飆升，使得自動駕駛技術僅限於富裕階層和商業車隊使用，並且在可預見的未來，自動駕駛功能對於大眾市場車輛而言在經濟上仍然不可行。

交通行動服務(MaaS) 平台的擴展

自動駕駛技術正在為共享出行領域開闢創新的經營模式，其發展遠遠超越了傳統的汽車所有權模式。與人工駕駛相比，無人駕駛計程車、自動駕駛叫車和汽車共享項目可以顯著降低人事費用，即使在人口稀少的地區也能提供經濟實惠的按需出行服務。這些平台能夠與公共交通系統無縫銜接，提供「最後一公里」和「第一公里」的出行解決方案，從而促進都市區的無車生活。隨著都市區實施堵塞費和停車限制以減少私家車使用，自動駕駛出行服務可望以更低的成本提供同等的便利性，從而佔據可觀的市場佔有率。

網路安全漏洞與駭客攻擊風險

連網自動駕駛汽車擴大了惡意攻擊者的攻擊面，對乘客安全和公眾信任構成重大威脅。遠端駭客攻擊可能導致車輛系統故障、導航系統被竄改，甚至在行駛過程中被劫持，可能造成災難性後果。如果車輛部署後才發現影響所有車輛的漏洞，則需要進行大規模召回和空中升級，這將造成巨大的成本和聲譽損失。目前，針對網路安全事件的保險和責任框架尚不完善，因為責任範圍涵蓋製造商、軟體開發商和基礎設施營運商。即使能夠迅速控制，備受矚目的攻擊事件也可能引發監管機構的強烈反對，從而顯著延緩消費者接受自動駕駛汽車的進程，並大幅減緩市場成長。

新型冠狀病毒（COVID-19）的影響：

疫情初期，零件短缺、測試項目暫停以及投資減少等問題阻礙了自動駕駛汽車的發展。然而，這場危機最終加速了某些推動技術普及的因素，例如非接觸式配送和運輸變得至關重要。由於人際接觸會帶來健康風險，消費者對自動駕駛技術在「最後一公里」物流和必需品運輸的應用接受度有所提高。供應鏈的脆弱性凸顯了建立具有韌性的自動駕駛物流網路的必要性。雖然自動駕駛乘用車的研發進度被推遲了12到18個月，但商用自動駕駛卡車和本地配送的應用卻獲得了前所未有的發展勢頭，這永久性地改變了投資重點，使其轉向那些有望在短期內獲得回報的商業應用領域。

在預測期內，個人出行領域預計將佔據最大的市場佔有率。

在預測期內，個人出行領域預計將佔據最大的市場佔有率。這主要得益於主要經濟體根深蒂固的汽車擁有文化以及人們對出行自主性的需求。個人自動駕駛汽車為家庭提供了按需出行的便利，無需與陌生人共用空間，並且還具備存放個人物品和客製化內飾的功能。對於通勤者而言，個人自動駕駛汽車可以將通勤時間轉化為高效或休閒的時間。儘管共享出行有所成長，但預計在預測期內，大部分自動駕駛汽車的銷售仍將來自私人車主。尤其是在北美和歐洲，郊區生活方式和公共交通基礎設施的匱乏正在催生對私人擁有的自動駕駛汽車的持續需求。

在預測期內，售後市場預計將呈現最高的複合年成長率。

在預測期內，售後市場預計將呈現最高的成長率，這反映了現有車輛加裝自動駕駛功能的巨大潛力。已在傳統車輛上投入巨資的車隊營運商正在尋求售後感測器和控制系統套件，以提升車輛的效用，並加速自動駕駛的轉型。支撐這一生態系統的包括專業的安裝中心、校準服務和維護供應商。零件製造商正在開發模組化自動駕駛套件，這些套件可以安裝在相容的汽車平臺上，成本遠低於購買新的自動駕駛車輛。隨著法律規範對改裝自動駕駛系統的適應性增強以及責任責任險模式的成熟，售後解決方案將從對價格敏感的商業車隊中贏得更多市場佔有率。

市佔率最大的地區：

在整個預測期內，北美預計將佔據最大的市場佔有率，這主要得益於矽谷和底特律傳統汽車製造商積極的技術研發。該地區受益於多個州寬鬆的測試法規、大量的創業投資投資以及消費者對高級駕駛輔助功能的高度接受度。完善的高速公路基礎設施和郊區通勤模式為自動駕駛技術的應用創造了理想的條件。 Waymo、Cruise、特斯拉和福特等領先公司總部均設在該地區，每年進行數百萬英里的自動駕駛測試。在政府的支持下，例如研發資金和簡化的認證流程，預計北美將在整個預測期內保持其領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、日本、韓國和新加坡龐大的城市人口密度以及政府主導的智慧城市計劃。中國憑藉其雄心勃勃的自動駕駛汽車部署國家目標、廣泛的5G基礎設施以及有利於快速測試的監管沙盒，處於領先地位。日本汽車製造商正將透過產業多元化累積的先進機器人和人工智慧技術與自動駕駛能力相結合。印度和東南亞國家正在跨越傳統的汽車發展階段，將自動駕駛出行服務作為其主要交通途徑。年輕一代缺乏濃厚的汽車文化，加上嚴重的交通堵塞，使得亞太地區成為全球成長最快的自動駕駛汽車市場。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域細分
- 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第15章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第16章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第17章：公司簡介

Tesla, Inc.
Waymo LLC
General Motors Company
Ford Motor Company
Toyota Motor Corporation
Mercedes-Benz Group AG
Bayerische Motoren Werke AG
Volkswagen AG
Hyundai Motor Company
Nissan Motor Co., Ltd.
Honda Motor Co., Ltd.
Volvo Car Corporation
Stellantis NV
NVIDIA Corporation
Mobileye Global Inc.
Aptiv PLC
Aurora Innovation, Inc.
Baidu, Inc.
Qualcomm Technologies, Inc.
Continental AG

簡介目錄圖表

Product Code: SMRC36474

According to Stratistics MRC, the Global Autonomous Car Market is accounted for $5.0 billion in 2026 and is expected to reach $40.7 billion by 2034 growing at a CAGR of 29.8% during the forecast period. Autonomous cars, also known as self-driving vehicles, utilize advanced sensor suites, artificial intelligence, and real-time mapping to navigate and operate without human intervention. These vehicles represent a transformative shift in transportation, promising enhanced safety, reduced congestion, and increased mobility access for non-drivers. The market encompasses various automation levels from conditional automation (Level 3) to full automation (Level 5), with applications spanning personal mobility, shared transportation services, and integrated smart city mobility networks that are reshaping urban planning and vehicle ownership models worldwide.

Market Dynamics:

Driver:

Rising demand for enhanced road safety and reduced accidents

Human error accounts for approximately ninety percent of traffic accidents globally, creating a powerful incentive for autonomous vehicle adoption. Self-driving systems eliminate distractions, fatigue, and impaired driving by maintaining constant situational awareness through overlapping sensor technologies including LiDAR, radar, and cameras. These vehicles react faster than humans and communicate with each other to prevent collisions, potentially saving hundreds of thousands of lives annually. Governments and insurance companies are increasingly supporting automation as a proven method to reduce fatalities and associated economic losses, accelerating regulatory approvals and infrastructure investments that facilitate widespread autonomous vehicle deployment across major markets.

Restraint:

High development and manufacturing costs

The substantial financial investment required for autonomous technology continues to limit market accessibility despite rapid technological progress. Each vehicle requires expensive components including high-resolution LiDAR units, redundant computing systems, and sophisticated software stacks that add thousands of dollars to production costs. Research and development expenses for achieving full autonomy have exceeded billions for leading manufacturers, with returns remaining uncertain as regulatory frameworks evolve slowly. These high costs translate into premium vehicle pricing that restricts adoption to affluent consumers and commercial fleets, while making autonomous features economically unviable for mass-market vehicle segments in the foreseeable future.

Opportunity:

Expansion of mobility-as-a-service platforms

Autonomous vehicle technology is unlocking revolutionary business models in shared mobility that extend far beyond traditional car ownership paradigms. Robotaxi services, autonomous ride-hailing and car-sharing programs can operate with drastically lower labor costs compared to human-driven alternatives, enabling affordable on-demand transportation even in low-density areas. These platforms integrate seamlessly with public transit systems, providing first-mile and last-mile connections that encourage car-free living in urban centers. As cities implement congestion pricing and restricted parking to discourage private vehicle use, autonomous mobility services are positioned to capture significant market share by offering convenience comparable to personal cars at lower cost.

Threat:

Cybersecurity vulnerabilities and hacking risks

Connected autonomous vehicles present an expanded attack surface for malicious actors, creating significant threats to passenger safety and public trust. Remote hacking could potentially disable vehicle systems, manipulate navigation, or take control during operation, with catastrophic consequences. Fleet-wide vulnerabilities discovered after deployment would require massive recalls or over-the-air updates, incurring substantial costs and reputational damage. Insurance and liability frameworks remain unprepared for cyber-related incidents where responsibility spans manufacturers, software developers, and infrastructure operators. High-profile attacks, even if quickly contained, could severely retard consumer acceptance and trigger regulatory backlash that slows market growth considerably.

Covid-19 Impact:

The pandemic initially disrupted autonomous vehicle development through component shortages, halted testing programs, and reduced investment capital. However, the crisis ultimately accelerated certain adoption drivers as contactless delivery and transportation became highly valued. Consumers demonstrated increased acceptance of autonomous technologies for last-mile logistics and essential goods movement when human contact posed health risks. Supply chain vulnerabilities highlighted the need for resilient autonomous logistics networks. While development timelines for passenger autonomy experienced delays of twelve to eighteen months, commercial autonomous trucking and local delivery applications gained unprecedented traction, permanently shifting investment priorities toward commercial applications with near-term revenue potential.

The Personal Mobility segment is expected to be the largest during the forecast period

The Personal Mobility segment is expected to account for the largest market share during the forecast period, driven by deeply ingrained car ownership culture in major economies and the desire for transportation independence. Private autonomous vehicles offer families the convenience of on-demand personal transport without sharing space with strangers, along with the ability to store personal items and customize interiors. For commuters, personal autonomous cars transform travel time into productive or leisure hours. Despite growth in shared mobility, the majority of autonomous vehicle sales through the forecast period will serve individual owners, particularly in North America and Europe where suburban living patterns and limited public transit infrastructure create persistent demand for personally owned autonomous vehicles.

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

Over the forecast period, the Aftermarket segment is predicted to witness the highest growth rate, reflecting opportunities to retrofit existing vehicles with autonomous driving capabilities. Fleet operators with substantial investments in conventional vehicles seek aftermarket sensor and control system packages to extend vehicle usefulness while transitioning toward autonomy. Specialized installation centers, calibration services, and maintenance providers are emerging to support this ecosystem. Component manufacturers are developing modular autonomy kits that can be installed on compatible vehicle platforms at significantly lower cost than purchasing new autonomous vehicles. As regulatory frameworks accommodate retrofitted autonomous systems and liability insurance models mature, aftermarket solutions will capture growing share from price-sensitive commercial fleets.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, led by aggressive technology development from Silicon Valley and traditional Detroit automakers. The region benefits from favorable testing regulations across multiple states, substantial venture capital investment, and high consumer acceptance of advanced driver assistance features. Extensive highway infrastructure and suburban commuting patterns create ideal conditions for autonomous deployment. Major players including Waymo, Cruise, Tesla, and Ford are headquartered in the region, conducting millions of autonomous test miles annually. Government support through research funding and streamlined certification pathways ensures North America maintains its leadership position throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by massive urban population density and government-backed smart city initiatives across China, Japan, South Korea, and Singapore. China leads with aggressive national targets for autonomous vehicle deployment, extensive 5G infrastructure, and favorable regulatory sandboxes enabling rapid testing. Japanese automakers are integrating autonomy with advanced robotics and AI capabilities developed through industrial diversification. India and Southeast Asian nations are leapfrogging traditional automotive development by embracing autonomous mobility services as primary transportation solutions. The absence of entrenched car culture in younger populations, combined with severe traffic congestion, positions Asia Pacific as the fastest-growing autonomous vehicle market globally.

Key players in the market

Some of the key players in Autonomous Car Market include Tesla, Inc., Waymo LLC, General Motors Company, Ford Motor Company, Toyota Motor Corporation, Mercedes-Benz Group AG, Bayerische Motoren Werke AG, Volkswagen AG, Hyundai Motor Company, Nissan Motor Co., Ltd., Honda Motor Co., Ltd., Volvo Car Corporation, Stellantis N.V., NVIDIA Corporation, Mobileye Global Inc., Aptiv PLC, Aurora Innovation, Inc., Baidu, Inc., Qualcomm Technologies, Inc. and Continental AG.

Key Developments:

In May 2026, Waymo expanded its commercial robotaxi operations to Miami, marking its presence in six major U.S. cities and reaffirming its target to reach 20 cities by the end of 2026 with its Level 4 autonomous fleet.

In May 2026, General Motors continued the wide-scale rollout of its Super Cruise Level 2+ system, integrating the hands-free highway technology across a broader range of mass-market vehicle segments beyond its premium Cadillac lineup.

In May 2026, Mercedes-Benz expanded the availability of its "DRIVE PILOT" Level 3 system, which remains one of the few commercially available systems allowing drivers to legally take their eyes off the road in specific highway traffic conditions.

Level of Automations Covered:

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

Vehicle Types Covered:

Hatchback
Sedan
SUV
Luxury Car
Sports Car

Propulsion Types Covered:

Internal Combustion Engine (ICE)
Hybrid Electric Vehicle (HEV)
Plug-in Hybrid Electric Vehicle (PHEV)
Battery Electric Vehicle (BEV)
Fuel Cell Electric Vehicle (FCEV)

Components Covered:

Hardware
Software
Services

Connectivity's Covered:

Vehicle-to-Vehicle (V2V)
Vehicle-to-Infrastructure (V2I)
Vehicle-to-Pedestrian (V2P)
Vehicle-to-Network (V2N)
Vehicle-to-Everything (V2X)

Deployments Covered:

Semi-Autonomous Cars
Fully Autonomous Cars

Ownership Models Covered:

Private Ownership
Shared Mobility Fleet
Subscription-Based Model

Applications Covered:

Personal Mobility
Robotaxi Services
Ride-Hailing Services
Car Sharing
Smart City Transportation

Sales Channels Covered:

OEM
Aftermarket

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
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

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Car Market, By Level of Automation

5.1 Level 1 (Driver Assistance)
5.2 Level 2 (Partial Automation)
5.3 Level 3 (Conditional Automation)
5.4 Level 4 (High Automation)
5.5 Level 5 (Full Automation)

6 Global Autonomous Car Market, By Vehicle Type

6.1 Hatchback
6.2 Sedan
6.3 SUV
6.4 Luxury Car
6.5 Sports Car

7 Global Autonomous Car Market, By Propulsion Type

7.1 Internal Combustion Engine (ICE)
7.2 Hybrid Electric Vehicle (HEV)
7.3 Plug-in Hybrid Electric Vehicle (PHEV)
7.4 Battery Electric Vehicle (BEV)
7.5 Fuel Cell Electric Vehicle (FCEV)

8 Global Autonomous Car Market, By Component

8.1 Hardware
- 8.1.1 LiDAR
- 8.1.2 Radar
- 8.1.3 Cameras
- 8.1.4 Ultrasonic Sensors
- 8.1.5 Infrared Sensors
- 8.1.6 Electronic Control Units
- 8.1.7 Connectivity Modules
- 8.1.8 Navigation Systems
8.2 Software
- 8.2.1 Artificial Intelligence Software
- 8.2.2 Mapping and Localization Software
- 8.2.3 Data Processing Software
- 8.2.4 Cybersecurity Software
8.3 Services
- 8.3.1 Integration Services
- 8.3.2 Simulation and Testing Services
- 8.3.3 Maintenance and Support Services

9 Global Autonomous Car Market, By Connectivity

9.1 Vehicle-to-Vehicle (V2V)
9.2 Vehicle-to-Infrastructure (V2I)
9.3 Vehicle-to-Pedestrian (V2P)
9.4 Vehicle-to-Network (V2N)
9.5 Vehicle-to-Everything (V2X)

10 Global Autonomous Car Market, By Deployment

10.1 Semi-Autonomous Cars
10.2 Fully Autonomous Cars

11 Global Autonomous Car Market, By Ownership Model

11.1 Private Ownership
11.2 Shared Mobility Fleet
11.3 Subscription-Based Model

12 Global Autonomous Car Market, By Application

12.1 Personal Mobility
12.2 Robotaxi Services
12.3 Ride-Hailing Services
12.4 Car Sharing
12.5 Smart City Transportation

13 Global Autonomous Car Market, By Sales Channel

13.1 OEM
13.2 Aftermarket

14 Global Autonomous Car Market, By Geography

14.1 North America
- 14.1.1 United States
- 14.1.2 Canada
- 14.1.3 Mexico
14.2 Europe
- 14.2.1 United Kingdom
- 14.2.2 Germany
- 14.2.3 France
- 14.2.4 Italy
- 14.2.5 Spain
- 14.2.6 Netherlands
- 14.2.7 Belgium
- 14.2.8 Sweden
- 14.2.9 Switzerland
- 14.2.10 Poland
- 14.2.11 Rest of Europe
14.3 Asia Pacific
- 14.3.1 China
- 14.3.2 Japan
- 14.3.3 India
- 14.3.4 South Korea
- 14.3.5 Australia
- 14.3.6 Indonesia
- 14.3.7 Thailand
- 14.3.8 Malaysia
- 14.3.9 Singapore
- 14.3.10 Vietnam
- 14.3.11 Rest of Asia Pacific
14.4 South America
- 14.4.1 Brazil
- 14.4.2 Argentina
- 14.4.3 Colombia
- 14.4.4 Chile
- 14.4.5 Peru
- 14.4.6 Rest of South America
14.5 Rest of the World (RoW)
- 14.5.1 Middle East
  - 14.5.1.1 Saudi Arabia
  - 14.5.1.2 United Arab Emirates
  - 14.5.1.3 Qatar
  - 14.5.1.4 Israel
  - 14.5.1.5 Rest of Middle East
- 14.5.2 Africa
  - 14.5.2.1 South Africa
  - 14.5.2.2 Egypt
  - 14.5.2.3 Morocco
  - 14.5.2.4 Rest of Africa

15 Strategic Market Intelligence

15.1 Industry Value Network and Supply Chain Assessment
15.2 White-Space and Opportunity Mapping
15.3 Product Evolution and Market Life Cycle Analysis
15.4 Channel, Distributor, and Go-to-Market Assessment

16 Industry Developments and Strategic Initiatives

16.1 Mergers and Acquisitions
16.2 Partnerships, Alliances, and Joint Ventures
16.3 New Product Launches and Certifications
16.4 Capacity Expansion and Investments
16.5 Other Strategic Initiatives

17 Company Profiles

17.1 Tesla, Inc.
17.2 Waymo LLC
17.3 General Motors Company
17.4 Ford Motor Company
17.5 Toyota Motor Corporation
17.6 Mercedes-Benz Group AG
17.7 Bayerische Motoren Werke AG
17.8 Volkswagen AG
17.9 Hyundai Motor Company
17.10 Nissan Motor Co., Ltd.
17.11 Honda Motor Co., Ltd.
17.12 Volvo Car Corporation
17.13 Stellantis N.V.
17.14 NVIDIA Corporation
17.15 Mobileye Global Inc.
17.16 Aptiv PLC
17.17 Aurora Innovation, Inc.
17.18 Baidu, Inc.
17.19 Qualcomm Technologies, Inc.
17.20 Continental AG

簡介目錄圖表

List of Tables

Table 1 Global Autonomous Car Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Autonomous Car Market Outlook, By Level of Automation (2023-2034) ($MN)
Table 3 Global Autonomous Car Market Outlook, By Level 1 (Driver Assistance) (2023-2034) ($MN)
Table 4 Global Autonomous Car Market Outlook, By Level 2 (Partial Automation) (2023-2034) ($MN)
Table 5 Global Autonomous Car Market Outlook, By Level 3 (Conditional Automation) (2023-2034) ($MN)
Table 6 Global Autonomous Car Market Outlook, By Level 4 (High Automation) (2023-2034) ($MN)
Table 7 Global Autonomous Car Market Outlook, By Level 5 (Full Automation) (2023-2034) ($MN)
Table 8 Global Autonomous Car Market Outlook, By Vehicle Type (2023-2034) ($MN)
Table 9 Global Autonomous Car Market Outlook, By Hatchback (2023-2034) ($MN)
Table 10 Global Autonomous Car Market Outlook, By Sedan (2023-2034) ($MN)
Table 11 Global Autonomous Car Market Outlook, By SUV (2023-2034) ($MN)
Table 12 Global Autonomous Car Market Outlook, By Luxury Car (2023-2034) ($MN)
Table 13 Global Autonomous Car Market Outlook, By Sports Car (2023-2034) ($MN)
Table 14 Global Autonomous Car Market Outlook, By Propulsion Type (2023-2034) ($MN)
Table 15 Global Autonomous Car Market Outlook, By Internal Combustion Engine (ICE) (2023-2034) ($MN)
Table 16 Global Autonomous Car Market Outlook, By Hybrid Electric Vehicle (HEV) (2023-2034) ($MN)
Table 17 Global Autonomous Car Market Outlook, By Plug-in Hybrid Electric Vehicle (PHEV) (2023-2034) ($MN)
Table 18 Global Autonomous Car Market Outlook, By Battery Electric Vehicle (BEV) (2023-2034) ($MN)
Table 19 Global Autonomous Car Market Outlook, By Fuel Cell Electric Vehicle (FCEV) (2023-2034) ($MN)
Table 20 Global Autonomous Car Market Outlook, By Component (2023-2034) ($MN)
Table 21 Global Autonomous Car Market Outlook, By Hardware (2023-2034) ($MN)
Table 22 Global Autonomous Car Market Outlook, By LiDAR (2023-2034) ($MN)
Table 23 Global Autonomous Car Market Outlook, By Radar (2023-2034) ($MN)
Table 24 Global Autonomous Car Market Outlook, By Cameras (2023-2034) ($MN)
Table 25 Global Autonomous Car Market Outlook, By Ultrasonic Sensors (2023-2034) ($MN)
Table 26 Global Autonomous Car Market Outlook, By Infrared Sensors (2023-2034) ($MN)
Table 27 Global Autonomous Car Market Outlook, By Electronic Control Units (2023-2034) ($MN)
Table 28 Global Autonomous Car Market Outlook, By Connectivity Modules (2023-2034) ($MN)
Table 29 Global Autonomous Car Market Outlook, By Navigation Systems (2023-2034) ($MN)
Table 30 Global Autonomous Car Market Outlook, By Software (2023-2034) ($MN)
Table 31 Global Autonomous Car Market Outlook, By Artificial Intelligence Software (2023-2034) ($MN)
Table 32 Global Autonomous Car Market Outlook, By Mapping and Localization Software (2023-2034) ($MN)
Table 33 Global Autonomous Car Market Outlook, By Data Processing Software (2023-2034) ($MN)
Table 34 Global Autonomous Car Market Outlook, By Cybersecurity Software (2023-2034) ($MN)
Table 35 Global Autonomous Car Market Outlook, By Services (2023-2034) ($MN)
Table 36 Global Autonomous Car Market Outlook, By Integration Services (2023-2034) ($MN)
Table 37 Global Autonomous Car Market Outlook, By Simulation and Testing Services (2023-2034) ($MN)
Table 38 Global Autonomous Car Market Outlook, By Maintenance and Support Services (2023-2034) ($MN)
Table 39 Global Autonomous Car Market Outlook, By Connectivity (2023-2034) ($MN)
Table 40 Global Autonomous Car Market Outlook, By Vehicle-to-Vehicle (V2V) (2023-2034) ($MN)
Table 41 Global Autonomous Car Market Outlook, By Vehicle-to-Infrastructure (V2I) (2023-2034) ($MN)
Table 42 Global Autonomous Car Market Outlook, By Vehicle-to-Pedestrian (V2P) (2023-2034) ($MN)
Table 43 Global Autonomous Car Market Outlook, By Vehicle-to-Network (V2N) (2023-2034) ($MN)
Table 44 Global Autonomous Car Market Outlook, By Vehicle-to-Everything (V2X) (2023-2034) ($MN)
Table 45 Global Autonomous Car Market Outlook, By Deployment (2023-2034) ($MN)
Table 46 Global Autonomous Car Market Outlook, By Semi-Autonomous Cars (2023-2034) ($MN)
Table 47 Global Autonomous Car Market Outlook, By Fully Autonomous Cars (2023-2034) ($MN)
Table 48 Global Autonomous Car Market Outlook, By Ownership Model (2023-2034) ($MN)
Table 49 Global Autonomous Car Market Outlook, By Private Ownership (2023-2034) ($MN)
Table 50 Global Autonomous Car Market Outlook, By Shared Mobility Fleet (2023-2034) ($MN)
Table 51 Global Autonomous Car Market Outlook, By Subscription-Based Model (2023-2034) ($MN)
Table 52 Global Autonomous Car Market Outlook, By Application (2023-2034) ($MN)
Table 53 Global Autonomous Car Market Outlook, By Personal Mobility (2023-2034) ($MN)
Table 54 Global Autonomous Car Market Outlook, By Robotaxi Services (2023-2034) ($MN)
Table 55 Global Autonomous Car Market Outlook, By Ride-Hailing Services (2023-2034) ($MN)
Table 56 Global Autonomous Car Market Outlook, By Car Sharing (2023-2034) ($MN)
Table 57 Global Autonomous Car Market Outlook, By Smart City Transportation (2023-2034) ($MN)
Table 58 Global Autonomous Car Market Outlook, By Sales Channel (2023-2034) ($MN)
Table 59 Global Autonomous Car Market Outlook, By OEM (2023-2034) ($MN)
Table 60 Global Autonomous Car Market Outlook, By Aftermarket (2023-2034) ($MN)