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自动驾驶系统市场：Guidehouse 研究排行榜
市场调查报告书
商品编码
1904954

自动驾驶系统市场：Guidehouse 研究排行榜

Guidehouse Research Leaderboard Report: Automated Driving Systems - Assessment of Strategy and Execution for 15 Companies in the Automated Driving Industry
出版日期: | 出版商: Guidehouse Research | 英文 48 Pages | 订单完成后即时交付

价格

自美国国防高级研究计划局 (DARPA) 发起 "大挑战" 以来，自动驾驶系统 (ADS) 一直是研究和实验的重点。儘管人们持续关注，但 ADS 的广泛应用预计仍需五到十年时间。随着 2025 年的临近尾声，自动驾驶技术似乎已在移动出行市场跨越了一个技术分水岭，有可能推动自动驾驶走向主流。曾经被认为遥不可及的 2026 年，或许终于将成为现实。

推动自动驾驶系统开发和商业化的因素有很多。其中一个关键驱动因素是利用人工智慧技术简化业务流程，使开发人员能够管理大型资料集并有效率地训练模型。另一个因素是自动驾驶系统部署市场的多元化。这些细分市场正在推动技术进步，并为许多公司创造收入来源。

各公司正在探索实现完全自动化和获利的多种途径。最常见的应用方式是无人驾驶计程车，乘客可以召唤无人驾驶轻型车辆 (LDV)。在全球范围内，Waymo 和百度引领自动驾驶计程车的发展。其他商业部署公司包括 Aurora 和 Kodiak Robotics，这两家公司都瞄准了公路和非公路卡车市场。像 Motional 这样的公司正在与原始设备製造商 (OEM) 合作，将自动驾驶技术整合到消费级车辆中。

本报告对自动驾驶系统 (ADS) 领域的 15 家公司进行了排名。每家公司都致力于实现完全无需驾驶员操作和视线的驾驶技术，并采取了不同的市场策略。

目录

第一章：摘要整理

第二章：市场概览

  • 市场定义
  • 市场驱动因素
  • 市场限制因素
  • 市场趋势

第三章：Guidehouse Research 排行榜

  • Guidehouse Research 排行榜类别
    • 领导者
    • 竞争对手
    • 挑战者
    • 追随者
  • Guidehouse Research 排行榜网格图

第四章 公司简介排名

  • 领导者
    • Waymo
    • 百度
    • NVIDIA
    • Mobileye
  • 竞争对手
    • Gatik
    • Nuro
    • Autonomous A2Z
    • Aurora
    • Plus AI
    • Tesla
    • Kodiak AI
    • Motional
  • 挑战者
    • Torc Robotics
    • May Mobility
    • Bot Auto

第五章 缩写与缩写列表

第六章 目录

第七章 图表

  • 范围研究
  • 资料来源与方法论
    • 供应商选择
    • 评估标准
    • 评估标准定义
Product Code: LB-ADS-25

Automated driving systems (ADS) have been a focus of research and experimentation ever since Defense Advanced Research Projects Agency's (DARPA's) Grand Challenge. Despite ongoing interest, ADS has long seemed to remain five to ten years away from widespread adoption. Now, as 2025 ends, automated driving appears to have crossed a technological threshold in the mobility market-one that could push it into the mainstream. The year 2026 may finally be the time that once felt perpetually a decade away.

This progress in ADS development and product launches stems from several sources. One key driver is the use of AI technologies to streamline workstreams, enabling developers to manage large datasets and train models more efficiently. Another factor is the diversification of markets where ADS has emerged, with these niches fostering technological advancement and creating a path toward revenue generation for many companies.

Companies are pursuing multiple routes to full automation and revenue generation. The most public-facing are robotaxis, where riders can summon a light-duty vehicle (LDV) to reach their destination without a driver. Globally, Waymo and Baidu are leading Robotaxi developers. Other commercial deployments target the trucking market, both on-road and off-road, with Aurora and Kodiak Robotics as major players. Some companies, such as Motional, are partnering with OEMs to integrate automation into consumer vehicles.

This edition of the Guidehouse Research Leaderboard ranks 15 companies across the ADS landscape. All are focused on achieving full hands-off, eyes-off driving technology, following diverse paths to bring their solutions to market.

Table of Contents

1. Executive Summary

  • 1.1 Market Introduction
  • 1.2 The Guidehouse Research Leaderboard Grid

2. Market Overview

  • 2.1 Market Definition
  • 2.2 Market Drivers
  • 2.3 Market Barriers
  • 2.4 Market Trends

3. The Guidehouse Research Leaderboard

  • 3.1 The Guidehouse Research Leaderboard Categories
    • 3.1.1 Leaders
    • 3.1.2 Contenders
    • 3.1.3 Challengers
    • 3.1.4 Followers
  • 3.2 The Guidehouse Research Leaderboard Grid

4. Company Rankings

  • 4.1 Leaders
    • 4.1.1 Waymo
    • 4.1.2 Baidu
    • 4.1.3 NVIDIA
    • 4.1.4 Mobileye
  • 4.2 Contenders
    • 4.2.1 Gatik
    • 4.2.2 Nuro
    • 4.2.3 Autonomous A2Z
    • 4.2.4 Aurora
    • 4.2.5 Plus AI
    • 4.2.6 Tesla
    • 4.2.7 Kodiak AI
    • 4.2.8 Motional
  • 4.3 Challengers
    • 4.3.1 Torc Robotics
    • 4.3.2 May Mobility
    • 4.3.3 Bot Auto

5. Acronym and Abbreviation List

6. Table of Contents

7. Table of Charts and Figures

  • 8.1 Scope of Study
  • 8.2 Sources and Methodology
    • 8.2.1 Vendor Selection
    • 8.2.2 Ratings Scale
      • 8.2.2.1 Score Calculations
    • 8.2.3 Criteria Definitions
      • 8.2.3.1 Strategy
      • 8.2.3.2 Execution

List of Tables

  • Table 3-1. The Guidehouse Research Leaderboard Overall Scores

List of Figures

  • Chart 1-1. The Guidehouse Research Leaderboard Grid
  • Chart 3-1. The Guidehouse Research Leaderboard Grid
  • Chart 4-1. Waymo Strategy and Execution Scores
  • Chart 4-2. Baidu Strategy and Execution Scores
  • Chart 4-3. NVIDIA Strategy and Execution Scores
  • Chart 4-4. Mobileye Strategy and Execution Scores
  • Chart 4-5. Gatik Strategy and Execution Scores
  • Chart 4-6. Nuro Strategy and Execution Scores
  • Chart 4-7. Autonomous A2z Strategy and Execution Scores
  • Chart 4-8. Aurora Strategy and Execution Scores
  • Chart 4-9. Plus AI Strategy and Execution Scores
  • Chart 4-10. Tesla Strategy and Execution Scores Chart 4-11. Kodiak Robotics Strategy and Execution Scores
  • Chart 4-12. Motional Strategy and Execution Scores
  • Chart 4-13. Torc Robotics Strategy and Execution Scores
  • Chart 4-14. May Mobility Strategy and Execution Scores
  • Chart 4-15. Bot Auto Strategy and Execution Scores