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市場調查報告書
商品編碼
2023985

自動駕駛技術市場預測至2034年—按組件、自動駕駛等級、車輛類型、應用和地區分類的全球分析

Autonomous Driving Tech Market Forecasts to 2034 - Global Analysis By Component (Sensors, AI & Machine Learning Software and Connectivity Modules), Autonomy Level, Vehicle Type, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球自動駕駛技術市場規模將達到 104 億美元，並在預測期內以 21.5% 的複合年成長率成長，到 2034 年將達到 494 億美元。

自動駕駛技術是一種先進的解決方案，它使車輛能夠在幾乎無需駕駛員干預的情況下自主運作。該技術結合了感測器、攝影機、雷達、LiDAR和人工智慧演算法等組件，能夠感知周圍環境、做出決策並安全駕駛。這些系統處理即時訊息，識別障礙物、解讀道路標誌並適應不斷變化的交通狀況。這項技術分為多個自動化級別，從基本的駕駛輔助到完全自動駕駛。其主要目標包括提高安全性、最大限度地減少人為錯誤、最佳化交通流量和提供便利性，而持續的創新正在推動其在個人和商務傳輸的應用不斷擴展。

據麥肯錫公司稱，自動駕駛汽車在全球範圍內每週已實現超過 70 萬次完全自動駕駛計程車出行，其中美國每週出行超過 45 萬次，中國每週出行約 25 萬次。

對道路安全日益成長的需求

全球對交通事故和傷亡日益成長的擔憂，正顯著推動自動駕駛技術的應用。許多交通事故是由人為因素造成的，例如分心、疲勞駕駛和判斷失誤。自動駕駛系統旨在透過感測器和即時分析來確保精準的駕駛操作，從而降低這些風險。自動緊急煞車、車道維持輔助和防撞等技術正在提升整體安全性。此外，世界各國政府正透過法規和政策支持以安全為中心的創新。隨著人們對更安全交通途徑益處的認知不斷提高，個人和企業對自動駕駛汽車技術的興趣也日益濃厚。

高昂的開發和實施成本

開發和部署自動駕駛技術的高昂成本是市場擴張的主要障礙。這些系統依賴昂貴的組件，例如LiDAR、高效能攝影機、高效能處理器和複雜的軟體解決方案。此外，持續的研究、嚴格的測試和檢驗程序也增加了整體財務負擔。汽車製造商還必須將資金用於基礎設施建設和合規性要求。如此高的成本阻礙了中小企業進入市場，導致自動駕駛技術的普及速度放緩。此外，不斷上漲的車輛價格可能會抑制消費者的購買意願，限制需求，並減緩自動駕駛解決方案在全球汽車市場的廣泛應用。

智慧城市和基礎設施擴建

智慧城市和現代化基礎設施的蓬勃發展為自動駕駛技術市場創造了巨大的成長機會。各國政府日益重視智慧型運輸系統（ITS）、互聯道路和數位化框架，以改善城市交通。這些進步使車輛能夠更有效率地與交通系統和基礎設施互動，從而提升自動駕駛能力。智慧交通控制、即時資訊共用和更完善的道路網路等功能正在推動自動駕駛車輛的普及。隨著全球快速都市化的推進，將自動駕駛技術融入智慧城市生態系統正變得越來越現實，這為自動駕駛領域的企業帶來了強勁的成長前景。

經濟不確定性和投資風險

金融不穩定和投資相關挑戰對自動駕駛技術市場的成長構成重大風險。全球經濟格局的變化會影響資金籌措機會、消費者支出和企業投資策略。開發自動駕駛汽車需要大量資金，這可能導致企業在景氣衰退時期縮減或推遲專案。Start-Ups也可能難以從創業投資資金籌措。高成本和不確定的回報會阻礙投資者提供資金。這些財務壓力可能導致創新放緩、產品發布延遲和市場成長受限，對依賴持續投資自動駕駛技術的公司構成挑戰。

新冠疫情的影響：

新冠疫情對自動駕駛技術市場產生了正面和負面的雙重影響。初期，封鎖措施擾亂了供應鏈，導致生產停滯，研發測試也陷入停滯。企業為了因應財務不確定性而削減開支，減緩了創新步伐。儘管面臨這些不利因素，疫情卻增加了對非接觸式和自動化交通工具的需求，尤其是在配送和物流服務領域。減少人際接觸的需求凸顯了自動駕駛解決方案的重要性。隨著疫情情勢好轉，投資逐漸恢復，支撐了市場的復甦。最終，這段經歷鞏固了長期成長機遇，並凸顯了自動化、高效、安全的出行系統在全球的價值。

在預測期內，感測器產業預計將佔據最大的市場佔有率。

預計在預測期內，感測器領域將佔據最大的市場佔有率，因為它們對於車輛感知周圍環境至關重要。LiDAR、雷達、超音波設備和攝影機等技術使自動駕駛系統能夠偵測物體、監控周圍環境並對路況做出即時響應。它們在保障安全、精準導航和有效導航方面的重要性，使其成為自動駕駛解決方案的核心組件。感測器性能的不斷提升，包括精度的提高和成本的降低，正在鞏固其主導地位。

預計在預測期內，L4（高度自動化）細分市場將呈現最高的複合年成長率。

在預測期內，L4級（高度自動化）自動駕駛市場預計將呈現最高的成長率，因為它允許車輛在特定條件下以最小的人為干預運作。與較低等級的自動化相比，L4級自動駕駛能夠在城市和指定區域等受控環境中實現大部分駕駛操作的自主管理。汽車和科技產業的投資不斷增加，以及人工智慧、感測系統和地圖技術的進步，正在推動其發展。對自動駕駛服務（例如自動駕駛計程車和配送解決方案）日益成長的需求也促進了市場需求，使L4級自動駕駛成為市場上一個實用且快速成長的細分領域。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其先進的技術環境和大量的投資。該地區匯集了眾多領先的汽車和科技公司，這些公司深度參與自動駕駛解決方案的研發，進一步鞏固了其主導地位。完善的基礎設施和消費者高度的認知度正在推動創新出行技術的普及應用。對研發的高度重視和持續的資金投入正在加速技術進步和實用化，使北美成為個人和商務傳輸領域自動駕駛技術發展的關鍵樞紐。

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，這主要得益於快速的城市化發展、汽車產量的成長以及對現代出行技術投資的不斷擴大。中國、日本和韓國等國家正積極透過政府扶持政策和舉措支持推動創新。人口成長和對高效交通途徑日益成長的需求正在促進自動駕駛解決方案的普及。基礎設施的持續改善和智慧城市的建設進一步鞏固了該地區的高成長前景。

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    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球自動駕駛技術市場：按組件分類

  • 感應器
  • 人工智慧和機器學習軟體
  • 連接模組

第6章 全球自動駕駛技術市場：以自動駕駛等級分類

  • 二級（部分自動化）
  • 3級（有條件自動駕駛）
  • 4級（高度自動化）
  • 5級（完全自動駕駛）

第7章 全球自動駕駛技術市場：依車輛類型分類

  • 搭乘用車
  • 追蹤
  • 公車

第8章 全球自動駕駛技術市場：按應用領域分類

  • 貨運/物流
  • 國防與安全
  • 叫車
  • 共享出行

第9章 全球自動駕駛技術市場：按地區分類

  • 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10章 戰略市場資訊

  • 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11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12章：公司簡介

  • Waymo LLC
  • Cruise LLC
  • Tesla, Inc.
  • Mobileye Global Inc.
  • Aptiv PLC
  • Baidu, Inc.（Apollo）
  • Pony.ai
  • Nuro, Inc.
  • Aurora Innovation, Inc.
  • Zoox Inc.
  • NVIDIA Corporation
  • General Motors Company（GM）
  • Ford Motor Company
  • Volkswagen AG
  • Toyota Motor Corporation
  • Volvo Car Corporation
  • Mercedes-Benz Group AG
  • Argo AI
Product Code: SMRC35197

According to Stratistics MRC, the Global Autonomous Driving Tech Market is accounted for $10.4 billion in 2026 and is expected to reach $49.4 billion by 2034 growing at a CAGR of 21.5% during the forecast period. Autonomous driving technology involves sophisticated solutions that allow vehicles to function independently with little or no driver input. It combines components such as sensors, cameras, radar, LiDAR, and AI-based algorithms to understand the environment, take decisions, and move safely. By processing real-time information, these systems identify obstacles, interpret road signals, and adapt to changing traffic situations. The technology is divided into multiple automation levels, ranging from basic assistance to complete self-driving capability. Its primary goals include increasing safety, minimizing human mistakes, enhancing traffic flow, and offering convenience, with ongoing innovations supporting wider use in both personal and commercial transportation sectors.

According to McKinsey, autonomous vehicles are already delivering more than 700,000 fully autonomous robo-taxi rides per week globally, with the U.S. seeing over 450,000 weekly rides and China around 250,000.

Market Dynamics:

Driver:

Rising demand for road safety

Growing concerns about traffic accidents and fatalities worldwide are significantly boosting the adoption of autonomous driving technologies. A large number of road incidents occur due to human mistakes such as distraction, tiredness, and poor decision-making. Autonomous systems aim to reduce these risks by relying on sensors and real-time analytics to ensure precise driving actions. Technologies like emergency braking, lane guidance and collision prevention improve overall safety. Additionally, governments are supporting safety-focused innovations through policies and regulations. As people become more aware of the benefits of safer transportation, both individuals and commercial operators are showing increased interest in self-driving vehicle technologies.

Restraint:

High development and implementation costs

The substantial expenses involved in creating and deploying autonomous driving technologies act as a major barrier to market expansion. These systems depend on costly components like LiDAR, advanced cameras, high-performance processors, and complex software solutions. Moreover, continuous research, rigorous testing, and validation procedures add to the overall financial burden. Automotive companies must also allocate funds for infrastructure improvements and regulatory compliance. Such high costs restrict entry for smaller players and slow down adoption rates. Additionally, elevated vehicle prices may discourage consumers, limiting demand and delaying the widespread introduction of autonomous driving solutions across global automotive markets.

Opportunity:

Expansion of smart cities and infrastructure

The growth of smart cities and modern infrastructure offers significant opportunities for the autonomous driving technology market. Governments are increasingly focusing on intelligent transportation systems, connected roadways, and digital frameworks to improve urban mobility. These advancements allow vehicles to interact efficiently with traffic systems and infrastructure, enhancing autonomous driving performance. Features such as smart traffic control, real-time information sharing, and improved road networks support the adoption of self-driving vehicles. With rapid urbanization worldwide, integrating autonomous technologies into smart city ecosystems is becoming more feasible, creating strong growth prospects for companies operating in the autonomous driving sector.

Threat:

Economic uncertainty and investment risks

Financial instability and investment-related challenges pose significant risks to the growth of the autonomous driving technology market. Changes in global economic conditions can influence funding opportunities, consumer spending, and corporate investment strategies. Since developing autonomous vehicles requires high capital, companies may scale back or postpone projects during economic downturns. Startups may also face reduced access to venture capital funding. The combination of high costs and uncertain returns can discourage investors from committing resources. These financial pressures can slow innovation, delay product launches, and restrict market growth, creating challenges for businesses that depend on sustained investment in autonomous technologies.

Covid-19 Impact:

The COVID-19 outbreak had both negative and positive effects on the autonomous driving technology market. Initially, it disrupted supply chains, halted manufacturing, and slowed research and testing due to lockdown measures. Companies reduced spending to manage financial uncertainties, delaying innovation efforts. Despite these setbacks, the pandemic increased demand for contactless and automated transportation, especially in delivery and logistics services. The need to minimize human interaction highlighted the importance of autonomous solutions. As conditions improved, investments gradually returned, supporting market recovery. The experience ultimately strengthened long-term growth opportunities, emphasizing the value of automation, efficiency, and safer mobility systems worldwide.

The sensors segment is expected to be the largest during the forecast period

The sensors segment is expected to account for the largest market share during the forecast period because they are essential for enabling vehicles to understand their environment. Technologies such as LiDAR, radar, ultrasonic devices, and cameras allow autonomous systems to detect objects, monitor surroundings, and respond to road conditions instantly. Their importance in maintaining safety, precision, and effective navigation makes them a core component of self-driving solutions. Ongoing improvements in sensor capabilities, including enhanced accuracy and reduced costs, reinforce their leading position.

The level 4 (high automation) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the level 4 (high automation) segment is predicted to witness the highest growth rate because it enables vehicles to function with very limited human input under certain conditions. Compared to lower automation levels, it can independently manage most driving operations within controlled environments like cities or designated zones. Rising investments from automotive and technology sectors, along with improvements in artificial intelligence, sensing systems, and mapping, are driving its progress. The growing need for autonomous services such as self-driving taxis and delivery solutions also fuels demand, making Level 4 a practical and rapidly expanding segment in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share supported by its advanced technological landscape and substantial investments. The region is home to major automotive and technology firms that are heavily involved in developing autonomous vehicle solutions, strengthening its leading position. Well-developed infrastructure and high consumer awareness contribute to increased adoption of innovative mobility technologies. Strong focus on research and development, along with continuous funding, enables faster progress and commercialization, making North America a key hub for autonomous driving advancements in both personal and commercial transportation sectors.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urban development, increasing vehicle production, and rising investments in modern mobility technologies. Nations like China, Japan, and South Korea are actively promoting innovation through supportive government policies and funding initiatives. A large and growing population, along with increasing demand for efficient transportation, is encouraging the adoption of autonomous solutions. Ongoing improvements in infrastructure and the development of smart cities are further strengthening the region's high growth prospects.

Key players in the market

Some of the key players in Autonomous Driving Tech Market include Waymo LLC, Cruise LLC, Tesla, Inc., Mobileye Global Inc., Aptiv PLC, Baidu, Inc. (Apollo), Pony.ai, Nuro, Inc., Aurora Innovation, Inc., Zoox Inc., NVIDIA Corporation, General Motors Company (GM), Ford Motor Company, Volkswagen AG, Toyota Motor Corporation, Volvo Car Corporation, Mercedes-Benz Group AG and Argo AI.

Key Developments:

In March 2026, NVIDIA and Marvell Technology, Inc. announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion(TM), offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.

In November 2025, Aptiv PLC announced that it inked a strategic cooperation deal with Robust.AI to co-develop AI-powered collaborative robots. The partnership combines Aptiv's (APTV) industry-leading portfolio, including Wind River platforms and tools, with Robust.AI's robotics expertise and human-centered design to accelerate innovation in warehouse and industrial automation.

In September 2025, Waymo is teaming up with Lyft to launch robotaxis in Nashville by 2026. Under the plan, passengers will initially book rides through Waymo's app, with Lyft's app integration to follow. Lyft will manage the fleet through its Flexdrive unit. This includes handling depots, maintenance, and charging. The partnership is designed to start with a smaller fleet and then grow to hundreds of vehicles as the service scales.

Components Covered:

  • Sensors
  • AI & Machine Learning Software
  • Connectivity Modules

Autonomy Levels Covered:

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

Vehicle Types Covered:

  • Passenger Cars
  • Trucks
  • Buses

Applications Covered:

  • Freight & Logistics
  • Defense & Security
  • Ride-Hailing
  • Shared Mobility

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

Table of Contents

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 Driving Tech Market, By Component

  • 5.1 Sensors
  • 5.2 AI & Machine Learning Software
  • 5.3 Connectivity Modules

6 Global Autonomous Driving Tech Market, By Autonomy Level

  • 6.1 Level 2 (Partial Automation)
  • 6.2 Level 3 (Conditional Automation)
  • 6.3 Level 4 (High Automation)
  • 6.4 Level 5 (Full Automation)

7 Global Autonomous Driving Tech Market, By Vehicle Type

  • 7.1 Passenger Cars
  • 7.2 Trucks
  • 7.3 Buses

8 Global Autonomous Driving Tech Market, By Application

  • 8.1 Freight & Logistics
  • 8.2 Defense & Security
  • 8.3 Ride-Hailing
  • 8.4 Shared Mobility

9 Global Autonomous Driving Tech Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Waymo LLC
  • 12.2 Cruise LLC
  • 12.3 Tesla, Inc.
  • 12.4 Mobileye Global Inc.
  • 12.5 Aptiv PLC
  • 12.6 Baidu, Inc. (Apollo)
  • 12.7 Pony.ai
  • 12.8 Nuro, Inc.
  • 12.9 Aurora Innovation, Inc.
  • 12.10 Zoox Inc.
  • 12.11 NVIDIA Corporation
  • 12.12 General Motors Company (GM)
  • 12.13 Ford Motor Company
  • 12.14 Volkswagen AG
  • 12.15 Toyota Motor Corporation
  • 12.16 Volvo Car Corporation
  • 12.17 Mercedes-Benz Group AG
  • 12.18 Argo AI

List of Tables

  • Table 1 Global Autonomous Driving Tech Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Driving Tech Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Autonomous Driving Tech Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 4 Global Autonomous Driving Tech Market Outlook, By AI & Machine Learning Software (2023-2034) ($MN)
  • Table 5 Global Autonomous Driving Tech Market Outlook, By Connectivity Modules (2023-2034) ($MN)
  • Table 6 Global Autonomous Driving Tech Market Outlook, By Autonomy Level (2023-2034) ($MN)
  • Table 7 Global Autonomous Driving Tech Market Outlook, By Level 2 (Partial Automation) (2023-2034) ($MN)
  • Table 8 Global Autonomous Driving Tech Market Outlook, By Level 3 (Conditional Automation) (2023-2034) ($MN)
  • Table 9 Global Autonomous Driving Tech Market Outlook, By Level 4 (High Automation) (2023-2034) ($MN)
  • Table 10 Global Autonomous Driving Tech Market Outlook, By Level 5 (Full Automation) (2023-2034) ($MN)
  • Table 11 Global Autonomous Driving Tech Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 12 Global Autonomous Driving Tech Market Outlook, By Passenger Cars (2023-2034) ($MN)
  • Table 13 Global Autonomous Driving Tech Market Outlook, By Trucks (2023-2034) ($MN)
  • Table 14 Global Autonomous Driving Tech Market Outlook, By Buses (2023-2034) ($MN)
  • Table 15 Global Autonomous Driving Tech Market Outlook, By Application (2023-2034) ($MN)
  • Table 16 Global Autonomous Driving Tech Market Outlook, By Freight & Logistics (2023-2034) ($MN)
  • Table 17 Global Autonomous Driving Tech Market Outlook, By Defense & Security (2023-2034) ($MN)
  • Table 18 Global Autonomous Driving Tech Market Outlook, By Ride-Hailing (2023-2034) ($MN)
  • Table 19 Global Autonomous Driving Tech Market Outlook, By Shared Mobility (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.