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1494738

到 2030 年自動駕駛汽車市場預測：按組件、自動化程度、車輛類型、技術、應用和地區進行的全球分析

Autonomous Vehicles Market Forecasts to 2030 - Global Analysis By Component, Automation Level, Vehicle Type, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據Stratistics MRC預測，2024年全球自動駕駛汽車市場規模將達到608億美元，預計2030年將達到1,806億美元，預測期內複合年成長率為19.9%。

自動駕駛汽車通常被稱為自動駕駛汽車或無人駕駛汽車，是配備先進感測器、軟體和人工智慧 (AI) 演算法的車輛，無需人工干預即可導航和操作。這些車輛可以感知環境、解釋感測資料並做出決策，自動駕駛道路、避開障礙物並遵守交通法規。自動駕駛汽車有潛力透過提高安全性、效率和可及性來徹底改變交通運輸。它有望減少人為失誤造成的交通事故，最佳化交通流量，並為因年齡、殘疾或其他因素而無法駕駛的人提供出行解決方案。

根據汽車業資訊領先者Automotive World預測，到2050年，全球汽車保有量將普及20億輛。根據美國環保署 (EPA) 的數據，美國75% 以上的一氧化碳是由汽車排放的。

出行即服務的興起

MaaS 將各種交通服務整合到一個統一平台中，使用戶能夠無縫存取各種移動選項，包括自動駕駛汽車。將自動駕駛技術納入 MaaS 網路將使這項技術在消費者中得到更廣泛的了解和接受。 MaaS 平台最佳化了 AV 使用、減少了停機時間並提高了營運效率。此外，MaaS 的資料驅動性質允許不斷改進 AV 演算法，並透過即時監控和分析來提高安全性。

責任和法律問題

由於不確定誰將在涉及自動駕駛車輛的事故中負責，保險和法律體制變得複雜。製造商、軟體開發商甚至車主都可能被追究責任，從而形成一個複雜的法律糾葛網路。然而，不同司法管轄區的法規會進一步加劇這個問題，並阻礙自動駕駛汽車的普及和採用。這些因素阻礙了市場的成長。

越來越關注商業應用

物流、運輸和送貨服務等商業部門正在認知到自動駕駛汽車在簡化業務、降低成本和提高效率方面的潛力。該公司正在大力投資研發，將自動駕駛技術整合到他們的車輛中，並尋求利用其優勢。商業實體日益成長的興趣正在刺激技術創新，從而推動自動駕駛汽車功能、安全功能和基礎設施支援的進步。此外，商業應用需要擴充性和可靠性，迫使製造商改進自動駕駛系統以滿足嚴格的行業標準。

資料安全問題

資料安全問題是自動駕駛汽車市場進步的主要障礙。自動駕駛汽車整合了先進的感測器、攝影機和連接功能，可產生大量資料，包括有關乘客、路線和位置的敏感資訊。這些資料很容易受到駭客攻擊、資料外洩和未授權存取等網路威脅。然而，人們擔心這些資料可能被濫用，包括身分盜竊、監視和操縱車輛功能，削弱了消費者對自動駕駛汽車的信任和信心。

COVID-19 的影響：

最初，疫情擾亂了供應鏈，導致生產延誤，並阻礙了自動駕駛汽車的部署。社交距離措施和關門減少了對乘車服務的需求，影響了自動駕駛汽車的測試和部署。然而，疫情凸顯了安全和衛生的重要性，並促使人們關注開發用於大眾交通工具和共用出行服務的自動駕駛技術。

駕駛輔助產業預計在預測期內規模最大

駕駛員援助細分市場預計將成為預測期內最大的細分市場，駕駛員援助系統將透過整合主動式車距維持定速系統巡航控制、車道維持援助和自動緊急煞車等功能擴展到半自動駕駛功能，從而提高安全性和安全性。自動駕駛技術正在贏得消費者和監管機構的認可和信任，因為這些技術可以減少人為錯誤、減少事故並改善信任流。

預計共乘產業在預測期內將經歷最高的複合年成長率。

透過為此技術的採用和融入日常生活提供自然途徑，預計乘車共享產業在預測期內將出現最高的複合年成長率。共乘公司處於將自動駕駛汽車整合到車隊中的最前沿，以降低營運成本、提高效率並增強客戶體驗。透過利用自動駕駛技術，共乘服務可以為客戶提供更低的票價，同時保持盈利。此外，這些服務是自動駕駛汽車系統的重要測試場，使開發人員能夠收集真實世界的資料並在不同的城市環境中完善其技術。

比最大的地區

在估計期間，亞太地區佔據了最大的市場佔有率。該地區的成長得益於將最尖端科技融入交通系統，例如 5G 網路、物聯網 (IoT) 感測器和人工智慧。增強的連接性將實現車輛、基礎設施和其他智慧設備之間的無縫通訊，從而促進全部區域更安全、更有效率的交通網路。這些進步不僅改善了道路安全並減少了堵塞，還為創新的行動服務和智慧城市計畫鋪平了道路，使該地區處於全球自動駕駛汽車市場的前沿。

複合年成長率最高的地區：

透過全面的法律規範，各國政府正在為自動駕駛汽車的開發和部署創造有利的環境，預計亞太地區將在預測期內呈現有利的成長。透過提供明確的指導方針和標準，政府正在向製造商、投資者和消費者等相關人員灌輸信心，並刺激全部區域對視音頻技術的創新和投資。此外，亞太地區的法規通常包括獎勵和支持機制，例如研究津貼稅收激勵，以鼓勵產業參與者和政府機構之間的合作，並為自動駕駛開發創建一個充滿活力的生態系統。

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    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

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
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球自動駕駛汽車市場：按組成部分

  • 軟體
  • 硬體
  • 服務

第6章全球自動駕駛汽車市場：依自動化程度分類

  • 駕駛員援助
  • 部分自動化
  • 有條件自動化

第7章全球自動駕駛汽車市場：依車型分類

  • 小客車
  • 商用車

第8章全球自動駕駛汽車市場：依技術分類

  • 自動駕駛卡車
  • 自動駕駛巴士
  • 其他技術

第9章全球自動駕駛汽車市場：依應用分類

  • 乘冰雹
  • 共乘
  • 其他用途

第10章全球自動駕駛汽車市場：按地區

  • 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
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/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

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • Audi
  • BMW
  • Continental AG
  • Daimler Group
  • Delphi
  • Ford Motor
  • General Motors
  • Hyundai Motor Group
  • Jaguar
  • Renault
  • Tesla
  • Uber
  • Volkswagen
  • Volvo
Product Code: SMRC26253

According to Stratistics MRC, the Global Autonomous Vehicles Market is accounted for $60.8 billion in 2024 and is expected to reach $180.6 billion by 2030 growing at a CAGR of 19.9% during the forecast period. Autonomous vehicles, often referred to as self-driving cars or driverless cars, are vehicles equipped with advanced sensors, software, and artificial intelligence (AI) algorithms that enable them to navigate and operate without human intervention. These vehicles can perceive their environment, interpret sensory data, and make decisions to navigate roads, avoid obstacles, and adhere to traffic laws autonomously. Autonomous vehicles have the potential to revolutionize transportation by offering increased safety, efficiency and accessibility. They hold promise for reducing traffic accidents caused by human error, optimizing traffic flow, and providing mobility solutions for people who cannot drive due to age, disability, or other factors.

According to Automotive World Ltd., a leader in automotive industry information, there would be more than 2 billion cars across the globe in 2050. According to Environmental Protection Agency (EPA), in the U.S. more than 75% of the carbon monoxide is emitted by motor vehicles.

Market Dynamics:

Driver:

Rise of mobility as a service

MaaS integrates various transportation services into a unified platform, providing users with seamless access to diverse mobility options, including AVs. By incorporating AVs into MaaS networks, the technology gains broader exposure and acceptance among consumers. MaaS platforms optimize AV utilization, reducing downtime and increasing operational efficiency. Moreover, the data-driven nature of MaaS enables continuous improvement of AV algorithms and enhances safety through real-time monitoring and analysis.

Restraint:

Liability and legal issues

Uncertainty regarding who bears responsibility in the event of accidents involving autonomous vehicles complicates insurance and legal frameworks. Manufacturers, software developers, and even vehicle owners could potentially be held liable, creating a complex web of legal entanglements. However, differing regulations across jurisdictions further exacerbate the problem, hindering widespread adoption and deployment of autonomous vehicles. These elements are hindering the market growth.

Opportunity:

Increasing focus on commercial applications

Commercial sectors such as logistics, transportation, and delivery services are recognizing the potential of autonomous vehicles to streamline operations, reduce costs, and enhance efficiency. Businesses are investing heavily in research and development to integrate autonomous technology into their fleets, aiming to capitalize on its benefits. This heightened interest from commercial entities is spurring innovation, leading to advancements in autonomous vehicle capabilities, safety features, and infrastructure support. Moreover, as commercial applications demand scalability and reliability, manufacturers are compelled to refine autonomous systems to meet rigorous industry standards.

Threat:

Data security concerns

Data security concerns pose a significant hurdle in the advancement of the autonomous vehicles market. The integration of sophisticated sensors, cameras, and connectivity features in autonomous vehicles generates vast amounts of data, including sensitive information about passengers, routes, and locations. This data becomes vulnerable to cyber threats such as hacking, data breaches, and unauthorized access. However, concerns about the potential misuse of this data, including identity theft, surveillance, and manipulation of vehicle functions, undermine consumer trust and confidence in autonomous vehicles.

Covid-19 Impact:

Initially, the pandemic disrupted supply chains, leading to production delays and hindering the deployment of autonomous vehicles. Social distancing measures and lockdowns reduced demand for ride-hailing services, affecting autonomous vehicle testing and adoption. However, the pandemic highlighted the importance of safety and hygiene, prompting a greater focus on the development of self-driving technology for public transportation and shared mobility services.

The Driver Assistance segment is expected to be the largest during the forecast period

Driver Assistance segment is expected to be the largest during the forecast period, by integrating features such as adaptive cruise control, lane-keeping assistance, and automatic emergency braking, driver assistance systems enhance vehicle safety and comfort while gradually familiarizing users with semi-autonomous capabilities. These technologies mitigate human errors, reduce accidents, and improve traffic flow, thus fostering greater acceptance and trust in autonomous driving technology among consumers and regulators.

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

Ride Share segment is expected to have the highest CAGR during the forecast period by providing a natural avenue for the adoption and integration of this technology into everyday life. Ride-sharing companies are at the forefront of incorporating autonomous vehicles into their fleets, aiming to reduce operational costs, increase efficiency, and enhance customer experience. By leveraging autonomous technology, ride-share services can offer lower fares to customers while still maintaining profitability. Additionally, these services act as a crucial testing ground for autonomous vehicle systems, allowing developers to collect real-world data and refine their technology in diverse urban environments.

Region with largest share:

Asia Pacific region commanded the largest share of the market over the extrapolated period. This regional growth is underpinned by the integration of cutting-edge technologies such as 5G networks, Internet of Things (IoT) sensors, and artificial intelligence into transportation systems. Enhanced connectivity enables seamless communication between vehicles, infrastructure, and other smart devices, fostering safer and more efficient transportation networks across the region. These advancements not only improve road safety and reduce congestion but also pave the way for innovative mobility services and smart city initiatives, positioning the region at the forefront of the global autonomous vehicles market.

Region with highest CAGR:

Through comprehensive regulatory frameworks, governments are fostering an environment conducive to AV development and deployment, Asia Pacific region is estimated to witness profitable growth during the projection period. By providing clear guidelines and standards, governments instill confidence among stakeholders, including manufacturers, investors and consumers, thus stimulating innovation and investment in AV technologies across the region. Moreover, regulations in the Asia Pacific region often include incentives and support mechanisms, such as research grants and tax breaks, which encourage collaboration between industry players and government agencies, fostering a vibrant ecosystem for AV development.

Key players in the market

Some of the key players in Autonomous Vehicles market include Audi, BMW, Continental AG, Daimler Group, Delphi, Ford Motor, General Motors, Hyundai Motor Group, Jaguar, Renault, Tesla, Uber, Volkswagen and Volvo.

Key Developments:

In August 2023, GTMC is expected to provide Pony.ai with a fleet of battery electric vehicles branded by Toyota. These vehicles are expected to feature sophisticated redundant systems of Toyota designed for Level 4 autonomous driving research and development. The autonomous driving technology of Pony.ai is expected to be seamlessly incorporated into these vehicles, and they are anticipated to be utilized on the PonyPilot + robotaxi network platform.

In July 2023, Volkswagen Group of America, Inc. (VWGoA) is commencing its inaugural autonomous vehicle testing initiative in Austin. The program is expected to launch with a fleet of 10 all-electric ID. Buzz vehicles equipped with an autonomous driving (AD) technology system, jointly developed by the global Volkswagen Group in collaboration with the technology firm Mobileye.

In July 2023, Tesla announced an investment of USD 1 billion for the development of project Dojo that aims to manage extensive volumes of data, with a specific focus on video feeds originating from Tesla vehicles, a crucial element in the advancement of autonomous driving software of the company.

Components Covered:

  • Software
  • Hardware
  • Services

Automation Levels Covered:

  • Driver Assistance
  • Partial Automation
  • Conditional Automation

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles

Technologies Covered:

  • Self-driving Truck
  • Self-driving Bus
  • Other Technologies

Applications Covered:

  • Ride Hail
  • Ride Share
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application 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 Vehicles Market, By Component

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

6 Global Autonomous Vehicles Market, By Automation Level

  • 6.1 Introduction
  • 6.2 Driver Assistance
  • 6.3 Partial Automation
  • 6.4 Conditional Automation

7 Global Autonomous Vehicles Market, By Vehicle Type

  • 7.1 Introduction
  • 7.2 Passenger Vehicles
  • 7.3 Commercial Vehicles

8 Global Autonomous Vehicles Market, By Technology

  • 8.1 Introduction
  • 8.2 Self-driving Truck
  • 8.3 Self-driving Bus
  • 8.4 Other Technologies

9 Global Autonomous Vehicles Market, By Application

  • 9.1 Introduction
  • 9.2 Ride Hail
  • 9.3 Ride Share
  • 9.4 Other Applications

10 Global Autonomous Vehicles Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Audi
  • 12.2 BMW
  • 12.3 Continental AG
  • 12.4 Daimler Group
  • 12.5 Delphi
  • 12.6 Ford Motor
  • 12.7 General Motors
  • 12.8 Hyundai Motor Group
  • 12.9 Jaguar
  • 12.10 Renault
  • 12.11 Tesla
  • 12.12 Uber
  • 12.13 Volkswagen
  • 12.14 Volvo

List of Tables

  • Table 1 Global Autonomous Vehicles Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 5 Global Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 7 Global Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 8 Global Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 9 Global Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 10 Global Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 11 Global Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 12 Global Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 13 Global Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 14 Global Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 15 Global Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 16 Global Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 17 Global Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 18 Global Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 19 Global Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 20 Global Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 21 North America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 22 North America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 23 North America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 24 North America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 25 North America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 26 North America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 27 North America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 28 North America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 29 North America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 30 North America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 31 North America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 32 North America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 33 North America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 34 North America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 35 North America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 36 North America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 37 North America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 38 North America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 39 North America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 40 North America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 41 Europe Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 42 Europe Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 43 Europe Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 44 Europe Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 45 Europe Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 46 Europe Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 47 Europe Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 48 Europe Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 49 Europe Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 50 Europe Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 51 Europe Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 52 Europe Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 53 Europe Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 54 Europe Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 55 Europe Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 56 Europe Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 57 Europe Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 58 Europe Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 59 Europe Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 60 Europe Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 61 Asia Pacific Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 62 Asia Pacific Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 63 Asia Pacific Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 64 Asia Pacific Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 65 Asia Pacific Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 66 Asia Pacific Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 67 Asia Pacific Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 68 Asia Pacific Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 69 Asia Pacific Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 70 Asia Pacific Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 71 Asia Pacific Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 72 Asia Pacific Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 73 Asia Pacific Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 74 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 75 Asia Pacific Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 76 Asia Pacific Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 77 Asia Pacific Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 78 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 79 Asia Pacific Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 80 Asia Pacific Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 81 South America Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 82 South America Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 83 South America Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 84 South America Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 85 South America Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 86 South America Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 87 South America Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 88 South America Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 89 South America Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 90 South America Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 91 South America Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 92 South America Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 93 South America Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 94 South America Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 95 South America Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 96 South America Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 97 South America Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 98 South America Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 99 South America Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 100 South America Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 101 Middle East & Africa Autonomous Vehicles Market Outlook, By Country (2022-2030) ($MN)
  • Table 102 Middle East & Africa Autonomous Vehicles Market Outlook, By Component (2022-2030) ($MN)
  • Table 103 Middle East & Africa Autonomous Vehicles Market Outlook, By Software (2022-2030) ($MN)
  • Table 104 Middle East & Africa Autonomous Vehicles Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 105 Middle East & Africa Autonomous Vehicles Market Outlook, By Services (2022-2030) ($MN)
  • Table 106 Middle East & Africa Autonomous Vehicles Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 107 Middle East & Africa Autonomous Vehicles Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 108 Middle East & Africa Autonomous Vehicles Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 109 Middle East & Africa Autonomous Vehicles Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 110 Middle East & Africa Autonomous Vehicles Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 111 Middle East & Africa Autonomous Vehicles Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 112 Middle East & Africa Autonomous Vehicles Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 113 Middle East & Africa Autonomous Vehicles Market Outlook, By Technology (2022-2030) ($MN)
  • Table 114 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Truck (2022-2030) ($MN)
  • Table 115 Middle East & Africa Autonomous Vehicles Market Outlook, By Self-driving Bus (2022-2030) ($MN)
  • Table 116 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 117 Middle East & Africa Autonomous Vehicles Market Outlook, By Application (2022-2030) ($MN)
  • Table 118 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Hail (2022-2030) ($MN)
  • Table 119 Middle East & Africa Autonomous Vehicles Market Outlook, By Ride Share (2022-2030) ($MN)
  • Table 120 Middle East & Africa Autonomous Vehicles Market Outlook, By Other Applications (2022-2030) ($MN)