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1856860

自動駕駛汽車技術市場預測至2032年：按組件、車輛類型、自動駕駛等級、動力系統、應用、最終用戶和地區分類的全球分析

Autonomous Vehicle Technology Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Vehicle Type, Autonomy Level, Drive Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2025 年，全球自動駕駛汽車技術市場規模將達到 816.3 億美元，到 2032 年將達到 2908.2 億美元，預測期內複合年成長率為 19.9%。

自動駕駛汽車技術正在重塑未來的出行方式，使汽車能夠在無需駕駛員干預的情況下自主運作。這些車輛利用尖端感測器、人工智慧、機器學習和即時數據分析技術，能夠安全地應對複雜的交通狀況。它們透過減少人為錯誤、智慧路線規劃緩解交通堵塞以及最佳化燃油消耗，為道路安全做出貢獻。車對車 (V2V) 和車對基礎設施 (V2I)通訊等互聯功能增強了營運智慧。隨著技術的進步，自動駕駛汽車有望徹底改變城市交通、貨運和公共交通，提供高效、環保且便利的出行解決方案。然而，其在全球範圍內的普及應用仍需遵守不斷變化的法規、安全標準和倫理規範。

根據美國運輸部) 的說法，自動駕駛汽車有可能將交通事故死亡人數減少高達 94%，因為大多數事故都是人為錯誤造成的。

擁抱人工智慧和機器學習

機器學習和人工智慧正透過賦予汽車自適應學習和決策能力，推動自動駕駛汽車產業的發展。這些系統使車輛能夠精準地偵測物體、最佳化路線、預測交通模式，並有效應對突發事件。人工智慧演算法的不斷改進提升了安全性、效率和整體駕駛性能。人工智慧還支援預測性車輛維護、能源管理和個人化乘客體驗。透過最大限度地減少人為干預並提高可靠性，這些技術實現了可擴展的自動駕駛出行解決方案。人工智慧和機器學習被視為不斷發展的自動駕駛汽車市場中至關重要的成長動力。

高昂的開發和實施成本

開發和部署自動駕駛汽車技術的高昂成本是限制市場發展的主要因素。尖端人工智慧系統、感測器、運算單元和專用軟體都需要大量的資金投入，使得自動駕駛汽車的價格高於傳統汽車。巨額的研發、測試和系統整合成本進一步延緩了自動駕駛汽車的大規模普及。維護和技術升級也會增加營運成本，從而阻礙小型企業和個人購買自動駕駛汽車。儘管自動駕駛汽車有望帶來許多好處，例如提高燃油效率和安全性，但領先成本仍然是一個巨大的障礙。透過技術創新和擴大生產規模來實現成本效益高的解決方案，對於自動駕駛汽車市場的廣泛應用和持續成長至關重要。

人工智慧和連接技術的進步

人工智慧、機器學習和車聯網系統的進步為自動駕駛汽車帶來了巨大的成長機會。先進的人工智慧技術能夠提昇路線規劃、決策和即時交通分析能力，從而確保更安全、更有效率的運作。車對車（V2V）和車對工業（V2I）通訊使車輛能夠共用數據、協調行駛，並緩解交通堵塞。 5G網路和物聯網平台的整合進一步支援了快速資料處理、預測性洞察和智慧移動服務。這些進步使自動駕駛汽車能夠在複雜的都市區中高效運行，最佳化車輛運行，並提升使用者體驗。人工智慧和互聯技術的持續創新正在推動全球市場的擴張，並加速各行業對自動駕駛汽車的採用。

技術限制和系統故障

技術限制和潛在的系統故障對自動駕駛汽車產業構成嚴重風險。即使配備了先進的人工智慧、感測器和通訊網路，自動駕駛汽車在極端天氣、複雜交通狀況和不可預測的環境中仍可能遇到困難。硬體故障、軟體錯誤和連接問題都可能導致事故、延誤和服務中斷。在罕見或極端情況下，效能限制可能會影響安全性和可靠性。製造商必須確保自動駕駛系統穩健可靠、安全無虞，並且能夠應付各種實際環境。持續存在的技術挑戰可能會降低消費者信任度、增加法律風險、延緩普及，並對自動駕駛汽車的持續成長和市場接受度構成重大威脅。

新冠疫情的影響：

新冠疫情對自動駕駛汽車市場產生了顯著影響，既帶來了挑戰，也帶來了機會。封鎖、旅行限制和供應鏈中斷延緩了生產、測試和研發，導致成長放緩。消費者出行模式的不確定性降低了自動駕駛交通解決方案的投資。另一方面，疫情也凸顯了自動駕駛汽車在非接觸式客運、藥品供應和保障健康和安全的基本服務方面的價值。越來越多的企業開始考慮採用自動駕駛系統來減少人為干預並維持營運。疫情雖然阻礙了短期發展，但也強化了自動駕駛汽車技術的重要性，促進了創新和韌性供應鏈的構建，加速了技術的長期應用和全球市場擴張。

預計在預測期內，硬體板塊將成為最大的板塊。

預計在預測期內，硬體領域將佔據最大的市場佔有率，成為自動駕駛汽車技術的基礎。感測器、LiDAR、雷達系統、攝影機和處理單元等關鍵組件使車輛能夠感知周圍環境、高效導航並做出即時決策。硬體可靠性、性能和整合度的持續提升，提高了車輛的安全性和駕駛效率。汽車製造商和技術供應商正致力於開發能夠支援複雜人工智慧演算法和自動駕駛功能的耐用、高精度組件。作為自動駕駛汽車系統的骨幹，硬體支撐著軟體平台和服務解決方案，確保系統平穩可靠地運作。其市場發展將在推動自動駕駛技術發展和擴大其在多種應用場景中的市場應用方面發揮核心作用。

預計在預測期內，商用車細分市場將以最高的複合年成長率成長。

預計在預測期內，商用車領域將實現最高成長率，這主要得益於市場對自動化、高效、可靠的運輸解決方案日益成長的需求。卡車、送貨車和貨運車輛的自動駕駛技術有助於最佳化行駛路線、降低油耗並消除駕駛者操作失誤，進而提升營運效率。為了應對勞動力短缺、簡化供應鏈並滿足不斷成長的電子商務物流需求，企業正擴大部署自動駕駛商用車隊。與車輛管理工具和預測服務的深度整合進一步提高了效率和運轉率。隨著運輸和物流產業擁抱自動化和數位轉型，商用車領域蘊藏著巨大的機遇，將加速自動駕駛技術在全球市場的普及應用。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其完善的基礎設施、汽車創新技術的廣泛應用以及在研發領域的巨額投入。該地區擁有眾多大型汽車製造商、科技公司和新興企業，它們正積極推動自動駕駛解決方案的發展。政府透過舉措、資助計畫和先導計畫提供的支持將促進自動駕駛汽車的快速部署。消費者對新型出行解決方案的高度認知和接受度將推動個人和商用車市場的成長。產業相關人員和研究機構之間的合作將進一步加速創新和商業化進程，使北美成為全球自動駕駛汽車技術發展的關鍵市場和中心樞紐。

複合年成長率最高的地區：

亞太地區預計將在預測期內保持最高的複合年成長率，這主要得益於快速的城市化進程、不斷成長的可支配收入以及對互聯智慧出行解決方案日益成長的需求。包括中國、日本和韓國在內的多個國家正在大力投資自動駕駛汽車的研究、試驗計畫以及配套基礎設施建設，以促進創新。該地區新興的科技公司和新興企業專注於人工智慧、舉措技術和電動出行，正在加速市場對自動駕駛汽車的接受度。對智慧城市建設、公共交通現代化和自動化物流的投資也將進一步推動成長。有利的監管環境、技術的進步以及消費者接受度的不斷提高，使亞太地區成為自動駕駛汽車技術發展的領先區域。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究資訊來源
    • 初級研究資訊來源
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球自動駕駛汽車技術市場（按組件分類）

  • 硬體
  • 軟體
  • 服務

6. 全球自動駕駛汽車技術市場（依車輛類型分類）

  • 搭乘用車
  • 商用車輛
  • 公共運輸
  • 工業/多用途車輛

7. 全球自動駕駛汽車技術市場（以自動駕駛等級分類）

  • 一級（駕駛輔助）
  • 二級（部分自動化）
  • 3級（條件自動化）
  • 4級（高度自動化）
  • 5級（全自動）

8. 全球自動駕駛汽車技術市場（以驅動方式分類）

  • 內燃機（ICE）
  • 混合動力電動車（HEV）
  • 電池電動車（BEV）
  • 燃料電池電動車（FCEV）

9. 全球自動駕駛汽車技術市場（按應用分類）

  • 個人出行
  • 物流和配送
  • 國防/安全
  • 工業自動化
  • 叫車服務及無人駕駛計程車

第10章 全球自動駕駛汽車技術市場（依最終用戶分類）

  • 個人消費者
  • 車隊營運商
  • 地方政府
  • 國防部
  • 技術開發人員

第11章：全球自動駕駛汽車技術市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • Audi AG
  • BMW AG
  • Daimler AG（Mercedes-Benz Group）
  • Ford Motor Company
  • General Motors Company
  • Google LLC（Waymo）
  • Honda Motor Co., Ltd.
  • Nissan Motor Company
  • Tesla
  • Toyota Motor Corporation
  • Uber Technologies, Inc.
  • Volvo Car Corporation
  • Volkswagen AG
  • Nuro, Inc.
  • Pony.ai
Product Code: SMRC31732

According to Stratistics MRC, the Global Autonomous Vehicle Technology Market is accounted for $81.63 billion in 2025 and is expected to reach $290.82 billion by 2032 growing at a CAGR of 19.9% during the forecast period. Autonomous Vehicle Technology is reshaping the future of mobility by allowing cars to function independently without driver input. Utilizing cutting-edge sensors, AI, machine learning, and instant data analysis, these vehicles can safely navigate complex traffic scenarios. They contribute to safer roads by minimizing human mistakes, reduce congestion through intelligent routing, and optimize fuel consumption. Connectivity features like vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication enhance operational intelligence. As the technology progresses, autonomous vehicles are poised to revolutionize urban transportation, freight delivery, and public transit, providing efficient, eco-friendly, and convenient travel solutions. Global adoption is influenced by evolving regulations, safety standards, and ethical considerations.

According to the U.S. Department of Transportation (NHTSA), autonomous vehicles have the potential to reduce traffic fatalities by up to 94%, as human error is a contributing factor in the vast majority of crashes.

Market Dynamics:

Driver:

Adapting artificial intelligence and machine learning

Machine learning and artificial intelligence drive the autonomous vehicle sector by equipping cars with adaptive learning and decision-making capabilities. These systems allow vehicles to detect objects accurately, optimize routes, predict traffic patterns, and respond effectively to unexpected events. Continuous refinement of AI algorithms improves safety, efficiency, and overall driving performance. AI also supports predictive vehicle maintenance, energy management, and tailored passenger experiences. By minimizing the need for human involvement and enhancing reliability, these technologies enable scalable autonomous mobility solutions. Their implementation across automotive platforms is crucial for realizing fully autonomous operations, positioning AI and ML as fundamental growth enablers in the evolving autonomous vehicle market.

Restraint:

High development and implementation costs

The substantial expenses associated with developing and deploying autonomous vehicle technology pose a major market restraint. Cutting-edge AI systems, sensors, computing units, and specialized software require large financial outlays, leading to higher vehicle prices than traditional automobiles. Extensive costs for research, testing, and system integration further slow mass adoption. Maintenance and technology upgrades also increase operational expenditures, deterring smaller companies and individual buyers. While autonomous vehicles promise future benefits such as improved fuel efficiency and safety, upfront costs remain a critical hurdle. Achieving cost-effective solutions through technological innovation and scaling production is essential for wider adoption and sustainable growth in the autonomous vehicle market.

Opportunity:

Advancements in artificial intelligence and connectivity

Progress in artificial intelligence, machine learning, and connected vehicle systems offers substantial growth opportunities for autonomous vehicles. Sophisticated AI enhances route planning, decision-making, and real-time traffic analysis, ensuring safer and more efficient operation. V2V and V2I communication enable vehicles to share data, coordinate movements, and alleviate traffic congestion. The integration of 5G networks and IoT platforms further supports rapid data processing, predictive insights, and intelligent mobility services. These advancements allow autonomous vehicles to function effectively in complex urban areas, optimize fleet operations, and deliver enhanced user experiences. Continuous innovation in AI and connectivity is driving global market expansion and accelerating autonomous vehicle adoption across industries.

Threat:

Technological limitations and system failures

Technological constraints and potential system failures pose a serious risk to the autonomous vehicle industry. Even with sophisticated AI, sensors, and communication networks, self-driving vehicles can encounter difficulties in extreme weather, complex traffic, or unpredictable situations. Hardware faults, software errors, or connectivity issues may cause accidents, delays, or operational interruptions. Limited performance in rare or edge-case scenarios can compromise safety and reliability. Manufacturers must ensure that autonomous systems are robust, fail-safe, and capable of handling diverse real-world conditions. Ongoing technological challenges may reduce consumer trust, elevate legal risks, and slow adoption, presenting significant threats to the sustainable growth and market acceptance of autonomous vehicles.

Covid-19 Impact:

The COVID-19 outbreak had a notable impact on the autonomous vehicle market, presenting both obstacles and prospects. Lockdowns, travel restrictions, and supply chain interruptions delayed production, testing, and development, leading to slower growth. Uncertainty in consumer mobility patterns reduced investments in autonomous transport solutions. Conversely, the pandemic underscored the value of self-driving vehicles for contactless passenger transport, medical supply delivery, and essential services, emphasizing health and safety. Businesses increasingly considered autonomous systems to reduce human interaction and maintain operations. Although immediate progress was disrupted, the pandemic has reinforced the importance of autonomous technology, fostering innovation, resilient supply networks, and accelerating long-term adoption and market expansion globally.

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, serving as the essential foundation for self-driving technology. Key elements such as sensors, LiDAR, radar systems, cameras, and processing units enable vehicles to perceive their surroundings, navigate effectively, and make real-time decisions. Ongoing improvements in hardware reliability, performance, and integration increase vehicle safety and operational efficiency. Automakers and tech providers focus on creating durable, high-precision components capable of supporting complex AI algorithms and autonomous functions. As the backbone of autonomous vehicle systems, hardware underpins software platforms and service solutions, ensuring smooth, dependable operations. Its development is central to advancing autonomous mobility and expanding market adoption across multiple applications.

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

Over the forecast period, the commercial vehicles segment is predicted to witness the highest growth rate due to rising needs for automated, efficient, and reliable transportation solutions. Autonomous technology in trucks, delivery vans, and freight vehicles helps optimize travel routes, lower fuel usage, and reduce driver-related errors, boosting operational performance. Businesses are increasingly deploying self-driving commercial fleets to tackle workforce shortages, streamline supply chains, and accommodate growing e-commerce logistics. Advanced integration with fleet management tools and predictive servicing enhances efficiency and uptime. With the transportation and logistics sectors embracing automation and digital innovation, commercial vehicles represent a key opportunity, propelling accelerated adoption of autonomous vehicle technology across global markets.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its robust infrastructure, widespread adoption of automotive innovations, and substantial investment in research and development. The region benefits from a strong presence of major automotive manufacturers, technology companies, and startups that are advancing autonomous driving solutions. Government support through initiatives, funding programs, and pilot projects facilitates faster deployment of self-driving vehicles. High consumer awareness and willingness to adopt new mobility solutions drive growth across personal and commercial vehicle segments. Partnerships between industry players and research institutions further accelerate innovation and commercialization, establishing North America as the leading market and central hub for autonomous vehicle technology development on a global scale.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urban growth, higher disposable incomes, and a rising need for connected and intelligent mobility solutions. Countries including China, Japan, and South Korea are investing heavily in autonomous vehicle research, pilot programs, and supporting infrastructure to foster innovation. The region's emerging technology firms and startups focusing on AI, sensor technology, and electric mobility accelerate market adoption. Investments in smart city initiatives, modernization of public transportation, and automated logistics further contribute to growth. Favorable regulations, technological progress, and increasing consumer acceptance make Asia-Pacific the leading region in terms of growth rate for autonomous vehicle technology.

Key players in the market

Some of the key players in Autonomous Vehicle Technology Market include Audi AG, BMW AG, Daimler AG (Mercedes-Benz Group), Ford Motor Company, General Motors Company, Google LLC (Waymo), Honda Motor Co., Ltd., Nissan Motor Company, Tesla, Toyota Motor Corporation, Uber Technologies, Inc., Volvo Car Corporation, Volkswagen AG, Nuro, Inc. and Pony.ai.

Key Developments:

In March 2025, Ford Trucks and IVECO announced Tuesday the signing of a binding Joint Development Agreement (JDA) for designing and engineering a new cabin for heavy-duty trucks, through total expenditure valued at nearly $374 million. IVECO is the brand of Italian transport vehicle manufacturing giant Iveco Group that designs, manufactures and markets light, medium and heavy commercial vehicles.

In October 2024, Daimler Truck and Volvo Group intend to create a joint venture to develop a common software-defined vehicle platform and dedicated truck operating system, providing the basis for future software-defined commercial vehicles. The two leading companies in the commercial vehicle industry have now signed a binding agreement to establish the joint venture and are working towards setting up the company that will be headquartered in Gothenburg, Sweden.

In April 2024, BMW Group and Tata Technologies aim to collaborate for the development of Automotive Software and Business IT solutions. The new Joint Venture (JV) will deliver automotive software, including software-defined vehicle (SDV) solutions for BMW Group's premium vehicles and digital transformation solutions for its business IT +++ The JV will commence operations with 100 employees and intends to grow to a four-digit number in the following years +++ JV is to become part of BMW Group's global network of software and IT hubs.

Components Covered:

  • Hardware
  • Software
  • Services

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Public Transport Vehicles
  • Industrial/Utility Vehicles

Autonomy Levels Covered:

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

Drive Types Covered:

  • Internal Combustion Engine (ICE)
  • Hybrid Electric Vehicles (HEV)
  • Battery Electric Vehicles (BEV)
  • Fuel Cell Electric Vehicles (FCEV)

Applications Covered:

  • Personal Mobility
  • Logistics & Delivery
  • Defense & Security
  • Industrial Automation
  • Ride-Hailing & Robo-Taxis

End Users Covered:

  • Individual Consumers
  • Fleet Operators
  • Municipalities
  • Defense Agencies
  • Technology Developers

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 2024, 2025, 2026, 2028, and 2032
  • 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 End User 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 Vehicle Technology Market, By Component

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

6 Global Autonomous Vehicle Technology Market, By Vehicle Type

  • 6.1 Introduction
  • 6.2 Passenger Vehicles
  • 6.3 Commercial Vehicles
  • 6.4 Public Transport Vehicles
  • 6.5 Industrial/Utility Vehicles

7 Global Autonomous Vehicle Technology Market, By Autonomy Level

  • 7.1 Introduction
  • 7.2 Level 1 (Driver Assistance)
  • 7.3 Level 2 (Partial Automation)
  • 7.4 Level 3 (Conditional Automation)
  • 7.5 Level 4 (High Automation)
  • 7.6 Level 5 (Full Automation)

8 Global Autonomous Vehicle Technology Market, By Drive Type

  • 8.1 Introduction
  • 8.2 Internal Combustion Engine (ICE)
  • 8.3 Hybrid Electric Vehicles (HEV)
  • 8.4 Battery Electric Vehicles (BEV)
  • 8.5 Fuel Cell Electric Vehicles (FCEV)

9 Global Autonomous Vehicle Technology Market, By Application

  • 9.1 Introduction
  • 9.2 Personal Mobility
  • 9.3 Logistics & Delivery
  • 9.4 Defense & Security
  • 9.5 Industrial Automation
  • 9.6 Ride-Hailing & Robo-Taxis

10 Global Autonomous Vehicle Technology Market, By End User

  • 10.1 Introduction
  • 10.2 Individual Consumers
  • 10.3 Fleet Operators
  • 10.4 Municipalities
  • 10.5 Defense Agencies
  • 10.6 Technology Developers

11 Global Autonomous Vehicle Technology Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Audi AG
  • 13.2 BMW AG
  • 13.3 Daimler AG (Mercedes-Benz Group)
  • 13.4 Ford Motor Company
  • 13.5 General Motors Company
  • 13.6 Google LLC (Waymo)
  • 13.7 Honda Motor Co., Ltd.
  • 13.8 Nissan Motor Company
  • 13.9 Tesla
  • 13.10 Toyota Motor Corporation
  • 13.11 Uber Technologies, Inc.
  • 13.12 Volvo Car Corporation
  • 13.13 Volkswagen AG
  • 13.14 Nuro, Inc.
  • 13.15 Pony.ai

List of Tables

  • Table 1 Global Autonomous Vehicle Technology Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Vehicle Technology Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Autonomous Vehicle Technology Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Autonomous Vehicle Technology Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Autonomous Vehicle Technology Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Autonomous Vehicle Technology Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 7 Global Autonomous Vehicle Technology Market Outlook, By Passenger Vehicles (2024-2032) ($MN)
  • Table 8 Global Autonomous Vehicle Technology Market Outlook, By Commercial Vehicles (2024-2032) ($MN)
  • Table 9 Global Autonomous Vehicle Technology Market Outlook, By Public Transport Vehicles (2024-2032) ($MN)
  • Table 10 Global Autonomous Vehicle Technology Market Outlook, By Industrial/Utility Vehicles (2024-2032) ($MN)
  • Table 11 Global Autonomous Vehicle Technology Market Outlook, By Autonomy Level (2024-2032) ($MN)
  • Table 12 Global Autonomous Vehicle Technology Market Outlook, By Level 1 (Driver Assistance) (2024-2032) ($MN)
  • Table 13 Global Autonomous Vehicle Technology Market Outlook, By Level 2 (Partial Automation) (2024-2032) ($MN)
  • Table 14 Global Autonomous Vehicle Technology Market Outlook, By Level 3 (Conditional Automation) (2024-2032) ($MN)
  • Table 15 Global Autonomous Vehicle Technology Market Outlook, By Level 4 (High Automation) (2024-2032) ($MN)
  • Table 16 Global Autonomous Vehicle Technology Market Outlook, By Level 5 (Full Automation) (2024-2032) ($MN)
  • Table 17 Global Autonomous Vehicle Technology Market Outlook, By Drive Type (2024-2032) ($MN)
  • Table 18 Global Autonomous Vehicle Technology Market Outlook, By Internal Combustion Engine (ICE) (2024-2032) ($MN)
  • Table 19 Global Autonomous Vehicle Technology Market Outlook, By Hybrid Electric Vehicles (HEV) (2024-2032) ($MN)
  • Table 20 Global Autonomous Vehicle Technology Market Outlook, By Battery Electric Vehicles (BEV) (2024-2032) ($MN)
  • Table 21 Global Autonomous Vehicle Technology Market Outlook, By Fuel Cell Electric Vehicles (FCEV) (2024-2032) ($MN)
  • Table 22 Global Autonomous Vehicle Technology Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Autonomous Vehicle Technology Market Outlook, By Personal Mobility (2024-2032) ($MN)
  • Table 24 Global Autonomous Vehicle Technology Market Outlook, By Logistics & Delivery (2024-2032) ($MN)
  • Table 25 Global Autonomous Vehicle Technology Market Outlook, By Defense & Security (2024-2032) ($MN)
  • Table 26 Global Autonomous Vehicle Technology Market Outlook, By Industrial Automation (2024-2032) ($MN)
  • Table 27 Global Autonomous Vehicle Technology Market Outlook, By Ride-Hailing & Robo-Taxis (2024-2032) ($MN)
  • Table 28 Global Autonomous Vehicle Technology Market Outlook, By End User (2024-2032) ($MN)
  • Table 29 Global Autonomous Vehicle Technology Market Outlook, By Individual Consumers (2024-2032) ($MN)
  • Table 30 Global Autonomous Vehicle Technology Market Outlook, By Fleet Operators (2024-2032) ($MN)
  • Table 31 Global Autonomous Vehicle Technology Market Outlook, By Municipalities (2024-2032) ($MN)
  • Table 32 Global Autonomous Vehicle Technology Market Outlook, By Defense Agencies (2024-2032) ($MN)
  • Table 33 Global Autonomous Vehicle Technology Market Outlook, By Technology Developers (2024-2032) ($MN)

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