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自動駕駛系統市場：Guidehouse 研究排行榜
市場調查報告書
商品編碼
1904954

自動駕駛系統市場：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 | 訂單完成後即時交付

價格

自美國國防高級研究計劃局 (DARPA) 發起 "大挑戰" 以來，自動駕駛系統 (ADS) 一直是研究和實驗的重點。儘管人們持續關注，但 ADS 的廣泛應用預計仍需五到十年時間。隨著 2025 年的臨近尾聲，自動駕駛技術似乎已在移動出行市場跨越了一個技術分水嶺，有可能推動自動駕駛走向主流。曾經被認為遙不可及的 2026 年，或許終於將成為現實。

推動自動駕駛系統開發和商業化的因素有很多。其中一個關鍵驅動因素是利用人工智慧技術簡化業務流程，使開發人員能夠管理大型資料集並有效率地訓練模型。另一個因素是自動駕駛系統部署市場的多元化。這些細分市場正在推動技術進步，並為許多公司創造收入來源。

各公司正在探索實現完全自動化和獲利的多種途徑。最常見的應用方式是無人駕駛計程車，乘客可以召喚無人駕駛輕型車輛 (LDV)。在全球範圍內，Waymo 和百度引領自動駕駛計程車的發展。其他商業部署公司包括 Aurora 和 Kodiak Robotics，這兩家公司都瞄準了公路和非公路卡車市場。像 Motional 這樣的公司正在與原始設備製造商 (OEM) 合作，將自動駕駛技術整合到消費級車輛中。

本報告對自動駕駛系統 (ADS) 領域的 15 家公司進行了排名。每家公司都致力於實現完全無需駕駛員操作和視線的駕駛技術，並採取了不同的市場策略。

目錄

第一章：摘要整理

第二章：市場概覽

  • 市場定義
  • 市場驅動因素
  • 市場限制因素
  • 市場趨勢

第三章：Guidehouse Research 排行榜

  • Guidehouse Research 排行榜類別
    • 領導者
    • 競爭對手
    • 挑戰者
    • 追隨者
  • Guidehouse Research 排行榜網格圖

第四章 公司簡介排名

  • 領導者
    • Waymo
    • 百度
    • NVIDIA
    • Mobileye
  • 競爭對手
    • Gatik
    • Nuro
    • Autonomous A2Z
    • Aurora
    • Plus AI
    • Tesla
    • Kodiak AI
    • Motional
  • 挑戰者
    • Torc Robotics
    • May Mobility
    • Bot Auto

第五章 縮寫與縮寫列表

第六章 目錄

第七章 圖表

  • 範圍研究
  • 資料來源與方法論
    • 供應商選擇
    • 評估標準
    • 評估標準定義
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