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市場調查報告書
商品編碼
1662777

2030 年自動駕駛汽車市場預測:按零件、推進系統、自動化程度、車輛、應用和地區進行的全球分析

Self-driving Cars Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software, and Other Components), Propulsion, Level of Autonomy, Vehicle, 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 的數據,全球自動駕駛汽車市場規模預計在 2024 年達到 315.2 億美元,到 2030 年將達到 764.1 億美元,預測期內的複合年成長率為 15.9%。

自動駕駛汽車,也稱為自主車輛,配備了先進的感測器、攝影機和人工智慧,無需人工干預即可導航和運行。這些車輛依靠先進的演算法來解釋周圍環境的資料並做出即時決策,以確保安全且有效率的旅程。它可以偵測障礙物、遵守交通規則並動態調整路線。隨著技術的不斷發展,自動駕駛汽車有望透過提高安全性、緩解交通堵塞和為所有人提供出行解決方案來徹底改變交通運輸。

對提高行動性和便利性的需求

自動駕駛汽車有望實現輕鬆的交通並讓人們重新擁有駕駛的時間。這些車輛可以提高殘疾人和不能開車的人的出行便利。此外,自動駕駛汽車可以最佳化交通流量,減少交通堵塞,並提供更有效率的運輸。將自動駕駛汽車融入共乘服務將增添另一層便利,讓交通更加便利、更人性化。

資料安全和隱私問題

自動駕駛汽車依賴從多個感測器和通訊網路收集的大量資料。這些資料對於車輛運行至關重要,但如果處理不當或洩露,也會帶來風險。網路安全威脅和潛在的資料濫用可能會破壞公眾對自動駕駛技術的信任。確保強力的資料保護措施和解決隱私問題對於贏得消費者的信任和支持並廣泛採用自動駕駛汽車至關重要。

提高燃油效率

自動駕駛汽車的目標是盡量減少不必要的煞車和加速,最佳化駕駛習慣,並保持高效的速度。透過減少整體燃料消費量和排放,這些功能有助於提高燃油經濟性。推動綠色交通與國際社會應對氣候變遷和推廣永續實踐的努力相輔相成。隨著燃油經濟性變得越來越重要,無論是從經濟效益還是環境效益來看,自動駕駛汽車的使用預計會增加。

對就業流動的擔憂

自動駕駛業務可能會導致依賴人類駕駛人的行業(例如卡車運輸、計程車服務和公共運輸)失業。對就業的潛在影響引發了必須解決的道德和經濟問題。政策制定者和行業領導者必須透過再培訓計畫和不斷發展的汽車技術領域的新就業機會,找到減輕工作流失負面影響的方法。

COVID-19 的影響

COVID-19 疫情對自動駕駛汽車市場產生了多方面的影響。供應鏈中斷和經濟不確定性減緩了生產和發展1。但這場疫情也凸顯了自動駕駛汽車的好處,例如非接觸式配送和運送重要工作人員。開發人員的應對措施是專注於軟體開發和遠端測試。整體而言,這場疫情凸顯了自動駕駛技術在提高安全性和效率方面的潛力。

預測期內硬體部分預計將成為最大的部分

預計硬體部分將在預測期內佔據最大的市場佔有率,因為它在自動駕駛汽車的功能中發揮關鍵作用。先進的感測器、攝影機和LiDAR系統是自動駕駛汽車準確感知和解讀周圍環境的重要組成部分。隨著技術的成熟,預計硬體開發和生產的投資將會增加,從而增強該領域在市場上的主導地位。

預計預測期內混合動力汽車領域將以最高的複合年成長率成長。

由於雙動力來源和效率的提高,混合動力汽車領域預計將在預測期內實現最高成長率。混合動力自動駕駛汽車可以在電動和傳統燃料模式之間切換,從而為其提供更大的靈活性和更長的續航里程。這種多功能性使其成為尋求環保、經濟高效交通方式的消費者的一個有吸引力的選擇。人們對永續性的關注度不斷提高以及混合模式的日益普及預計將推動該領域的快速擴張。

比最大的地區

在預測期內,亞太地區預計將佔據最大的市場佔有率,這得益於對自動駕駛汽車技術和基礎設施的大量投資。中國、日本和韓國等國家在自動駕駛汽車的研究、開發和部署方面處於領先地位。該地區蓬勃發展的汽車產業,加上政府推動智慧交通的舉措,正在支持市場成長。此外,亞太地區的高人口密度和都市化對高效和創新的移動解決方案產生了強烈的需求。

複合年成長率最高的地區

由於強大的技術基礎和支援性法規環境,預計北美地區在預測期內將呈現最高的複合年成長率。美國和加拿大是許多推動自動駕駛汽車技術進步的主要企業和汽車製造商的所在地。該地區對創新的重視、官民合作關係以及對智慧基礎設施的投資正在加速市場成長。自動駕駛汽車在共乘和物流服務中的應用將進一步推動北美市場的擴張。

提供免費客製化

訂閱此報告的客戶可享有以下免費自訂選項之一:

  • 公司簡介
    • 對其他市場參與企業(最多 3 家公司)進行全面分析
    • 主要企業的 SWOT 分析(最多 3 家公司)
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率(註:基於可行性檢查)
  • 競爭性基準化分析
    • 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
  • 研究範圍
  • 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
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第 5 章 全球自動駕駛汽車市場(按組件分類)

  • 介紹
  • 硬體
    • LiDAR(光檢測與測距)
    • 雷達感測器
    • 相機
    • 超音波感測器
    • 基於 AI 的處理器和 GPU
    • GPS 和導航系統
    • 5G 和雲端連接
  • 軟體
    • 人工智慧和機器學習演算法
    • 高級駕駛輔助系統 (ADAS) 軟體
    • 自動駕駛平台
    • 雲端基礎的資料處理和映射
  • 其他

6. 全球自動駕駛汽車市場(依動力系統分類)

  • 介紹
  • 內燃機 (ICE) 車輛
  • 混合動力汽車
  • 電動車
  • 氫燃料電池汽車
  • 其他驅動力

第 7 章 全球自動駕駛汽車市場(依自動化程度分類)

  • 介紹
  • 0 級(無自動化)
  • 1 級(駕駛輔助)
  • 2 級(部分自動化)
  • 第 3 級(條件自動化)
  • 4 級(高級自動化)
  • 5 級(全自動)

第 8 章 全球自動駕駛汽車市場(按車型)

  • 介紹
  • 搭乘用車
  • 商用車
  • 其他

第 9 章 全球自動駕駛汽車市場(按應用)

  • 介紹
  • 叫車服務和自動駕駛計程車
  • 個人移動行
  • 公共運輸
  • 貨運與物流
  • 其他

第 10 章 全球自動駕駛汽車市場(按區域分類)

  • 介紹
  • 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
    • 歐洲其他地區
  • 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11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • Toyota Motor Corporation
  • Tesla
  • BYD co., ltd.
  • Volkswagen Group
  • Ford Motor
  • General Motors
  • Mercedes-Benz Group Ag
  • BMW Group
  • Hyundai Motor Group
  • Nvidia Corporation
  • Robert Bosch Gmbh
  • Continental AG
  • ZF friedrichshafen AG
  • Denso Corporation
  • Magna International Inc.
  • Nxp Semiconductors
  • Renault Group
  • Aisin Corporation
  • Hitachi Automotive
Product Code: SMRC28638

According to Stratistics MRC, the Global Self-Driving Cars Market is accounted for $31.52 billion in 2024 and is expected to reach $76.41 billion by 2030 growing at a CAGR of 15.9% during the forecast period. Self-driving cars, also known as autonomous vehicles, are equipped with advanced sensors, cameras, and artificial intelligence to navigate and operate without human intervention. These vehicles rely on sophisticated algorithms to interpret data from their surroundings, making real-time decisions to ensure safe and efficient travel. They can detect obstacles, follow traffic rules, and adjust routes dynamically. As technology continues to evolve, self-driving cars promise to revolutionize transportation by enhancing safety, reducing traffic congestion, and providing mobility solutions for everyone.

Market Dynamics:

Driver:

Demand for enhanced mobility and convenience

Autonomous vehicles offer the promise of effortless travel, allowing individuals to reclaim time spent behind the wheel. These vehicles can improve accessibility for people with disabilities or those unable to drive. Furthermore, self-driving cars can optimize traffic flow, reduce congestion, and provide more efficient transportation options. The integration of autonomous vehicles into ride-sharing services adds another layer of convenience, making transportation more accessible and user-friendly.

Restraint:

Data security and privacy concerns

Large volumes of data gathered from several sensors and communication networks are essential to autonomous cars. This data is crucial for the car's operation but also poses risks if mishandled or breached. Cybersecurity threats and potential data misuse can undermine public trust in self-driving technology. Ensuring robust data protection measures and addressing privacy concerns are essential to gain consumer confidence and support for the widespread adoption of autonomous vehicles.

Opportunity:

Rising fuel efficiency

The goal of autonomous cars is to minimize needless braking and acceleration, optimize driving habits, and maintain efficient speeds. By lowering overall fuel consumption and emissions, these features help to increase fuel efficiency. Greener transportation options are being pushed in tandem with international initiatives to address climate change and advance sustainable practices. Self-driving car usage is anticipated to rise as fuel economy becomes more important, due to both economic and environmental advantages.

Threat:

Job displacement concerns

The automation of driving tasks could lead to job losses in industries reliant on human drivers, such as trucking, taxi services, and public transportation. The potential impact on employment raises ethical and economic questions that need to be addressed. Policymakers and industry leaders must find ways to mitigate the negative effects of job displacement through retraining programs and new job opportunities in the evolving automotive and technology sectors.

Covid-19 Impact

The COVID-19 pandemic had a mixed impact on the self-driving car market. Supply chain disruptions and economic uncertainties slowed down production and development1. However, the pandemic also highlighted the benefits of autonomous vehicles, such as contactless delivery and transportation for essential workers. Companies adapted by focusing on software development and remote testing1. Overall, the pandemic underscored the potential of self-driving technology in enhancing safety and efficiency.

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, due to its critical role in the functioning of self-driving cars. Advanced sensors, cameras, and LiDAR systems are essential components that enable autonomous vehicles to perceive and interpret their surroundings accurately. As the technology matures, investments in hardware development and production are anticipated to grow, reinforcing the segment's dominance in the market.

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

Over the forecast period, the hybrid vehicles segment is predicted to witness the highest growth rate, due to their dual power sources and improved efficiency. Hybrid self-driving cars can switch between electric and conventional fuel modes, offering greater flexibility and extended range. This versatility makes them an attractive option for consumers seeking eco-friendly and cost-effective transportation solutions. The increasing focus on sustainability and the growing availability of hybrid models are expected to drive the segment's rapid expansion.

Region with largest share:

During the forecast period, Asia Pacific region is expected to hold the largest market share, due to its significant investments in autonomous vehicle technology and infrastructure. Countries like China, Japan, and South Korea are leading the way in research, development, and deployment of self-driving cars. The region's robust automotive industry, coupled with government initiatives to promote smart transportation, supports the market's growth. Additionally, the high population density and urbanization in Asia Pacific create a strong demand for efficient and innovative mobility solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to its strong technological base and supportive regulatory environment. The U.S. and Canada are home to many leading tech companies and automotive manufacturers driving advancements in autonomous vehicle technology. The region's focus on innovation, along with public-private partnerships and investment in smart infrastructure, accelerates market growth. The adoption of self-driving cars in ride-sharing and logistics services further boosts the market's expansion in North America.

Key players in the market

Some of the key players profiled in the Self-Driving Cars Market include Toyota Motor Corporation, Tesla, BYD co., ltd., Volkswagen Group, Ford Motor, General Motors, Mercedes-Benz Group Ag, BMW Group, Hyundai Motor Group, Nvidia Corporation, Robert Bosch Gmbh, Continental AG, ZF friedrichshafen AG, Denso Corporation, Magna International Inc., Nxp Semiconductors, Renault Group, Aisin Corporation, and Hitachi Automotive.

Key Developments:

In February 2025, TOYOTA GAZOO racing launches evolved GR Corolla in Japan. TOYOTA GAZOO Racing (TGR) has started accepting orders for its evolved GR Corolla, a model that leverages insights gained by competing in motorsports.

In December 2024, Volkswagen AG -with its brands Volkswagen Passenger Cars, Volkswagen Commercial Vehicles and Group Components and employee representatives have concluded a joint agreement entitled 'Zukunft Volkswagen' after intensive negotiations

Components Covered:

  • Hardware
  • Software
  • Other Components

Propulsions Covered:

  • Internal Combustion Engine (ICE) Vehicles
  • Hybrid Vehicles
  • Electric Vehicles
  • Hydrogen Fuel Cell Vehicles
  • Other Propulsions

Level of Autonomy Covered:

  • Level 0 (No Automation)
  • Level 1 (Driver Assistance)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Vehicles Covered:

  • Passenger Vehicles
  • Commercial Vehicles
  • Other Vehicles

Applications Covered:

  • Ride-Hailing & Robo-Taxis
  • Personal Mobility
  • Public Transport
  • Freight & Logistics
  • 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 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Self-driving Cars Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 LiDAR (Light Detection and Ranging)
    • 5.2.2 Radar Sensors
    • 5.2.3 Cameras
    • 5.2.4 Ultrasonic Sensors
    • 5.2.5 AI-Based Processors & GPUs
    • 5.2.6 GPS & Navigation Systems
    • 5.2.7 5G & Cloud Connectivity
  • 5.3 Software
    • 5.3.1 AI & Machine Learning Algorithms
    • 5.3.2 Advanced Driver Assistance Systems (ADAS) Software
    • 5.3.3 Autonomous Driving Platforms
    • 5.3.4 Cloud-Based Data Processing & Mapping
  • 5.4 Other Components

6 Global Self-driving Cars Market, By Propulsion

  • 6.1 Introduction
  • 6.2 Internal Combustion Engine (ICE) Vehicles
  • 6.3 Hybrid Vehicles
  • 6.4 Electric Vehicles
  • 6.5 Hydrogen Fuel Cell Vehicles
  • 6.6 Other Propulsions

7 Global Self-driving Cars Market, By Level of Autonomy

  • 7.1 Introduction
  • 7.2 Level 0 (No Automation)
  • 7.3 Level 1 (Driver Assistance)
  • 7.4 Level 2 (Partial Automation)
  • 7.5 Level 3 (Conditional Automation)
  • 7.6 Level 4 (High Automation)
  • 7.7 Level 5 (Full Automation)

8 Global Self-driving Cars Market, By Vehicle

  • 8.1 Introduction
  • 8.2 Passenger Vehicles
  • 8.3 Commercial Vehicles
  • 8.4 Other Vehicles

9 Global Self-driving Cars Market, By Application

  • 9.1 Introduction
  • 9.2 Ride-Hailing & Robo-Taxis
  • 9.3 Personal Mobility
  • 9.4 Public Transport
  • 9.5 Freight & Logistics
  • 9.6 Other Applications

10 Global Self-driving Cars 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 Toyota Motor Corporation
  • 12.2 Tesla
  • 12.3 BYD co., ltd.
  • 12.4 Volkswagen Group
  • 12.5 Ford Motor
  • 12.6 General Motors
  • 12.7 Mercedes-Benz Group Ag
  • 12.8 BMW Group
  • 12.9 Hyundai Motor Group
  • 12.10 Nvidia Corporation
  • 12.11 Robert Bosch Gmbh
  • 12.12 Continental AG
  • 12.13 ZF friedrichshafen AG
  • 12.14 Denso Corporation
  • 12.15 Magna International Inc.
  • 12.16 Nxp Semiconductors
  • 12.17 Renault Group
  • 12.18 Aisin Corporation
  • 12.19 Hitachi Automotive

List of Tables

  • Table 1 Global Self-driving Cars Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Self-driving Cars Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Self-driving Cars Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 4 Global Self-driving Cars Market Outlook, By LiDAR (Light Detection and Ranging) (2022-2030) ($MN)
  • Table 5 Global Self-driving Cars Market Outlook, By Radar Sensors (2022-2030) ($MN)
  • Table 6 Global Self-driving Cars Market Outlook, By Cameras (2022-2030) ($MN)
  • Table 7 Global Self-driving Cars Market Outlook, By Ultrasonic Sensors (2022-2030) ($MN)
  • Table 8 Global Self-driving Cars Market Outlook, By AI-Based Processors & GPUs (2022-2030) ($MN)
  • Table 9 Global Self-driving Cars Market Outlook, By GPS & Navigation Systems (2022-2030) ($MN)
  • Table 10 Global Self-driving Cars Market Outlook, By 5G & Cloud Connectivity (2022-2030) ($MN)
  • Table 11 Global Self-driving Cars Market Outlook, By Software (2022-2030) ($MN)
  • Table 12 Global Self-driving Cars Market Outlook, By AI & Machine Learning Algorithms (2022-2030) ($MN)
  • Table 13 Global Self-driving Cars Market Outlook, By Advanced Driver Assistance Systems (ADAS) Software (2022-2030) ($MN)
  • Table 14 Global Self-driving Cars Market Outlook, By Autonomous Driving Platforms (2022-2030) ($MN)
  • Table 15 Global Self-driving Cars Market Outlook, By Cloud-Based Data Processing & Mapping (2022-2030) ($MN)
  • Table 16 Global Self-driving Cars Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 17 Global Self-driving Cars Market Outlook, By Propulsion (2022-2030) ($MN)
  • Table 18 Global Self-driving Cars Market Outlook, By Internal Combustion Engine (ICE) Vehicles (2022-2030) ($MN)
  • Table 19 Global Self-driving Cars Market Outlook, By Hybrid Vehicles (2022-2030) ($MN)
  • Table 20 Global Self-driving Cars Market Outlook, By Electric Vehicles (2022-2030) ($MN)
  • Table 21 Global Self-driving Cars Market Outlook, By Hydrogen Fuel Cell Vehicles (2022-2030) ($MN)
  • Table 22 Global Self-driving Cars Market Outlook, By Other Propulsions (2022-2030) ($MN)
  • Table 23 Global Self-driving Cars Market Outlook, By Level of Autonomy (2022-2030) ($MN)
  • Table 24 Global Self-driving Cars Market Outlook, By Level 0 (No Automation) (2022-2030) ($MN)
  • Table 25 Global Self-driving Cars Market Outlook, By Level 1 (Driver Assistance) (2022-2030) ($MN)
  • Table 26 Global Self-driving Cars Market Outlook, By Level 2 (Partial Automation) (2022-2030) ($MN)
  • Table 27 Global Self-driving Cars Market Outlook, By Level 3 (Conditional Automation) (2022-2030) ($MN)
  • Table 28 Global Self-driving Cars Market Outlook, By Level 4 (High Automation) (2022-2030) ($MN)
  • Table 29 Global Self-driving Cars Market Outlook, By Level 5 (Full Automation) (2022-2030) ($MN)
  • Table 30 Global Self-driving Cars Market Outlook, By Vehicle (2022-2030) ($MN)
  • Table 31 Global Self-driving Cars Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 32 Global Self-driving Cars Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 33 Global Self-driving Cars Market Outlook, By Other Vehicles (2022-2030) ($MN)
  • Table 34 Global Self-driving Cars Market Outlook, By Application (2022-2030) ($MN)
  • Table 35 Global Self-driving Cars Market Outlook, By Ride-Hailing & Robo-Taxis (2022-2030) ($MN)
  • Table 36 Global Self-driving Cars Market Outlook, By Personal Mobility (2022-2030) ($MN)
  • Table 37 Global Self-driving Cars Market Outlook, By Public Transport (2022-2030) ($MN)
  • Table 38 Global Self-driving Cars Market Outlook, By Freight & Logistics (2022-2030) ($MN)
  • Table 39 Global Self-driving Cars Market Outlook, By Other Applications (2022-2030) ($MN)

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