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市場調查報告書
商品編碼
2074956

2034年全球自動駕駛貨運走廊市場預測－按組件、車輛類型、自動化程度、應用、最終用戶和地區分類的分析

Autonomous Freight Corridors Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software, and Services), Vehicle Type, Level of Automation, Application, End User 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，全球自主貨運走廊市場預計將在 2026 年達到 38 億美元，到 2034 年達到 92 億美元，預測期內複合年成長率為 11.4%。

自主貨運走廊是專為自動駕駛商用車輛（包括卡車和送貨車）設計的專用運輸路線，旨在最大限度地減少人為干預，使車輛能夠無縫運行。這些走廊整合了先進的感測器陣列、高清地圖、V2X 通訊基礎設施和邊緣運算單元，以確保安全且高效的貨運。減少對駕駛者的依賴可以降低營運成本、減少事故風險，並實現全天候物流運作。

對供應鏈效率和緩解駕駛人的需求日益成長

由於電子商務的蓬勃發展、即時生產模式的普及以及商業司機長期短缺，全球物流業正面臨日益嚴峻的壓力。自動駕駛貨運走廊透過實現全天候不間斷運行，避免疲勞駕駛帶來的風險，並顯著降低每英里的運輸成本，從而有效應對這些挑戰。專用走廊基礎設施消除了都市區複雜的混合交通狀況，提高了自動化系統的可靠性。車輛營運商和主要貨主正積極探索全自動駕駛系統的編隊行駛和試點運行，以獲得成本優勢；同時，世界各國政府也紛紛將貨運走廊納入國家基礎設施投資計畫的優先建設，以增強經濟競爭力。

基礎設施建設和法規核准成本高。

開發自動駕駛貨運走廊需要對路邊設備、連接基礎設施、感測器網路和高精度測繪進行巨額前期投資。維修現有高速公路路段以符合自動駕駛車輛標準，需要長期封閉道路並耗費大量土木工程費用。法律規範因地區而異，營運商需要獲得多個機構的單獨認證才能進行跨境營運。無人重型貨運的保險責任模式尚不完善，為投資者帶來財務不確定性。小規模物流公司缺乏進入市場所需的資金，導致競爭主要集中在資金雄厚的成熟企業和科技新創公司。

擴建貨運專用高速公路網路並與智慧港口整合

多個國家的政府已指定特定高速公路走廊用於自動駕駛貨運，透過提供法律明確且基礎設施完善的環境，顯著降低了部署風險。主要物流樞紐的智慧港口計畫正在將自動駕駛的營運範圍從碼頭擴展到連接走廊，建構端到端的無人供應鏈。自動駕駛卡車、自動化倉庫系統和機器人裝卸設備的融合，為建構完全一體化的貨運生態系統帶來了變革性的機會。開發走廊管理平台的技術供應商預計將從尋求承包自動駕駛貨運解決方案的車輛營運商那裡獲得可觀且持續的收入。

互聯走廊基礎設施中的網路安全漏洞

自主貨運走廊依賴車輛、路側設備和中央管理系統之間持續的資料交換，這為惡意攻擊者創造了廣闊的攻擊面。對走廊通訊網路的成功網路攻擊可能會擾亂車輛導航、引發碰撞事故，甚至導致整個貨運路線癱瘓。由於貨運網路對經濟至關重要，因此它們也成為國家支持的網路威脅的理想目標。要確保數千英里互聯基礎設施的端對端加密、入侵偵測和快速事件回應，需要持續的投資和健全的網路安全管治框架，而許多營運商目前尚不具備這樣的能力。

新型冠狀病毒（COVID-19）的影響：

新冠疫情凸顯並加速了人們對自動駕駛貨運解決方案的興趣。封鎖和勞動力短缺嚴重擾亂了傳統的卡車運輸業務，暴露了依賴駕駛人的物流模式的脆弱性。起初，供應鏈中斷延緩了試點部署，但這場危機最終透過展現依賴人力營運的脆弱性，強化了自動駕駛走廊的商業價值。疫情復甦期間電子商務的激增帶來了前所未有的貨運需求，促使物流公司和政府加快對自動駕駛通道基礎設施的投資，將其視為長期的韌性策略。

在預測期內，硬體產業預計將佔據最大的市場佔有率。

在預測期內，硬體領域預計將佔據最大的市場佔有率。LiDAR感測器、雷達單元、攝影機、GPS模組、邊緣運算單元和連接設備等物理基礎設施組件構成了走廊運作的重要基礎。每輛自動駕駛車輛都需要一套完整的硬體系統，隨著走廊沿線安裝工作的推進，對硬體的需求將進一步成長。車輛數量的持續增加以及新走廊的投入運作預計將在整個預測期內保持穩定的硬體採購需求。

預計在預測期內，軟體產業將呈現最高的複合年成長率。

在預測期內，受自動駕駛演算法、車輛管理平台、路線最佳化工具以及地圖和定位解決方案等日益成長的需求驅動，軟體領域預計將呈現最高的成長率。隨著硬體的同質化，差異化因素正日益轉向智慧軟體功能。持續改進、空中下載 (OTA) 更新以及數據貨幣化等機遇，正使軟體成為一項高利潤且收入穩定的業務，吸引著新創公司和大型企業的大量研發投入。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。美國在該地區處於領先地位，其聯邦和州政府層級都積極推行支持自動駕駛卡車的項目，包括在主要州際公路上設立指定的測試路段。 Aurora Innovation、Waymo 和 TuSimple 等技術先驅企業的存在，加上完善的創業投資生態系統和跨大陸路線上巨大的貨運量，為自動駕駛卡車在商業路線上的部署創造了極其有利的環境。

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，這主要得益於中國對智慧公路基礎設施的大力投資以及其成為全球自動駕駛汽車製造領導者的雄心。印度物流現代化建設的努力、東南亞蓬勃發展的跨境貿易以及日本應對嚴重人手不足的舉措，都推動了自動駕駛貨運走廊計畫的成長。政府主導的智慧城市和智慧公路計畫正在該地區全面實施，這些計畫提供了專項資金來源，並顯著加快了商業化進程。

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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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球自主貨運走廊市場：依組件分類

  • 硬體
    • LiDAR感測器
    • 雷達感測器
    • 相機
    • GPS模組
    • 邊緣運算單元
    • 連網裝置
  • 軟體
    • 自動駕駛軟體
    • 車隊管理軟體
    • 路線最佳化軟體
    • 地圖和定位軟體
  • 服務

第6章：全球自動駕駛貨運走廊市場：依車輛類型分類

  • 大型卡車
    • 7 級軌道
    • 8級卡車
  • 中型卡車
  • 自動駕駛送貨車

第7章：全球自主貨運走廊市場：依自動化程度分類

  • 3級
  • 4級
  • 5級

第8章：全球自主貨運走廊市場：依應用分類

  • 長途
  • 港口作業
  • 礦業物流
  • 工業貨物運輸
  • 跨境貨物運輸

第9章：全球自主貨運走廊市場：依最終用戶分類

  • 物流運營商
  • 貨運公司
  • 電子商務公司
  • 礦業公司
  • 製造公司

第10章：全球自主貨運走廊市場：依地區分類

  • 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11章 策略市場資訊

  • 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12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13章：公司簡介

  • Daimler Truck AG
  • Volvo Group
  • Scania AB
  • PACCAR Inc.
  • Navistar Inc.
  • Aurora Innovation Inc.
  • PlusAI Inc.
  • Kodiak Robotics Inc.
  • TuSimple Holdings Inc.
  • Waymo LLC
  • NVIDIA Corporation
  • Continental AG
  • Bosch Mobility
  • ZF Friedrichshafen AG
  • Embark Trucks Inc.
Product Code: SMRC37473

According to Stratistics MRC, the Global Autonomous Freight Corridors Market is accounted for $3.8 billion in 2026 and is expected to reach $9.2 billion by 2034, growing at a CAGR of 11.4% during the forecast period. Autonomous Freight Corridors are dedicated transportation pathways engineered for the seamless movement of self-driving commercial vehicles, encompassing trucks and delivery vans operating with minimal human intervention. These corridors integrate advanced sensor arrays, high-definition mapping, V2X communication infrastructure, and edge computing units to facilitate safe and efficient freight movement. By removing driver dependency, they reduce operational costs, mitigate accident risks, and enable 24/7 logistics operations.

Market Dynamics:

Driver:

Growing demand for supply chain efficiency and driver shortage mitigation

The global logistics sector faces mounting pressure from e-commerce growth, just-in-time manufacturing, and persistent commercial driver shortages. Autonomous freight corridors address these challenges by enabling continuous 24-hour operations without fatigue-related risks, substantially lowering per-mile transportation costs. Dedicated corridor infrastructure eliminates the complexity of mixed urban traffic, allowing higher automation reliability. Fleet operators and major shippers are actively piloting platooning and fully driverless systems to capture cost advantages, while governments prioritize freight corridors in national infrastructure investment plans to strengthen economic competitiveness.

Restraint:

High infrastructure deployment and regulatory approval costs

Establishing autonomous freight corridors demands enormous upfront capital for road-side units, connectivity infrastructure, sensor networks, and high-definition mapping. Retrofitting existing highway segments to meet autonomous vehicle standards involves extended closures and civil engineering expenditures. Regulatory frameworks remain fragmented across jurisdictions, requiring operators to obtain separate certifications from multiple agencies before cross-border operations become viable. Insurance liability models for driverless heavy freight are still evolving, creating financial uncertainty for investors. Smaller logistics firms lack the capital to participate, limiting the competitive landscape to well-capitalized incumbents and technology-backed startups.

Opportunity:

Expansion of dedicated freight highway networks and smart port integration

Several governments are designating specific highway corridors for autonomous freight operations, providing a legally defined and infrastructure-supported environment that dramatically reduces deployment risk. Smart port initiatives in major logistics hubs are extending autonomous operations from terminals to connecting corridors, creating end-to-end driverless supply chains. The convergence of autonomous trucks with automated warehouse systems and robotic loading equipment presents a transformative opportunity for fully integrated freight ecosystems. Technology providers developing corridor management platforms stand to capture significant recurring revenue from fleet operators seeking turnkey autonomous freight solutions.

Threat:

Cybersecurity vulnerabilities in connected corridor infrastructure

Autonomous freight corridors rely on continuous data exchange between vehicles, roadside units, and central management systems, creating an expansive attack surface for malicious actors. A successful cyberattack on corridor communication networks could disrupt vehicle navigation, cause collisions, or halt entire freight routes. The critical economic importance of freight networks makes them attractive targets for state-sponsored cyber threats. Ensuring end-to-end encryption, intrusion detection, and rapid incident response across thousands of miles of connected infrastructure requires sustained investment and sophisticated cybersecurity governance frameworks that many operators are not yet equipped to provide.

Covid-19 Impact:

The COVID-19 pandemic simultaneously exposed and accelerated interest in autonomous freight solutions. Lockdowns and workforce shortages severely disrupted conventional trucking operations, highlighting the vulnerability of driver-dependent logistics. While initial supply chain disruptions slowed pilot deployments, the crisis ultimately strengthened the business case for autonomous corridors by demonstrating the operational fragility caused by human workforce dependency. Recovery-era e-commerce surges created unprecedented freight demand, prompting logistics companies and governments to accelerate investments in autonomous corridor infrastructure as a long-term resilience strategy.

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. Physical infrastructure components including LiDAR sensors, radar units, cameras, GPS modules, edge computing units, and connectivity devices form the indispensable foundation for corridor operations. Each autonomous vehicle requires a comprehensive hardware stack, and corridor-side installations add further hardware volume. Ongoing fleet expansions and new corridor commissionings sustain consistent hardware procurement demand across the forecast horizon.

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

Over the forecast period, the software segment is predicted to witness the highest growth rate, fueled by escalating demand for autonomous driving algorithms, fleet management platforms, route optimization tools, and mapping and localization solutions. As hardware becomes commoditized, differentiation increasingly shifts to intelligent software capabilities. Continuous improvement cycles, over-the-air update deployments, and data monetization opportunities make software a high-margin, recurring-revenue business that attracts significant venture and corporate R&D investment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. The United States leads with active federal and state-level programs supporting autonomous trucking, including designated test corridors on major interstate highways. The presence of technology pioneers such as Aurora Innovation, Waymo, and TuSimple, combined with supportive venture capital ecosystems and substantial freight volumes on transcontinental routes, creates a highly conducive environment for commercial corridor deployments.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by China's aggressive investment in smart highway infrastructure and its ambition to become the global leader in autonomous vehicle manufacturing. India's logistics modernization initiatives, Southeast Asia's booming cross-border trade, and Japan's response to severe labor shortages are collectively stimulating autonomous freight corridor projects. Government-led smart city and smart highway programs across the region provide dedicated funding streams that accelerate commercialization timelines significantly.

Key players in the market

Some of the key players in Autonomous Freight Corridors Market include Daimler Truck AG, Volvo Group, Scania AB, PACCAR Inc., Navistar Inc., Aurora Innovation Inc., PlusAI Inc., Kodiak Robotics Inc., TuSimple Holdings Inc., Waymo LLC, NVIDIA Corporation, Continental AG, Bosch Mobility, ZF Friedrichshafen AG, and Embark Trucks Inc.

Key Developments:

In March 2026, Aurora Innovation announced the commercial expansion of its Aurora Driver platform on the Dallas-to-Houston autonomous freight corridor, completing over 1,200 driverless commercial hauls and entering into long-term capacity agreements with multiple Fortune 500 shippers to scale operations across additional Texas interstate routes.

In January 2026, Daimler Truck AG revealed a strategic alliance with NVIDIA to deploy the DRIVE Thor platform across its next-generation autonomous trucking fleet, integrating real-time AI inferencing capabilities for end-to-end perception and decision-making on dedicated European freight corridors.

Components Covered:

  • Hardware
  • Software
  • Services

Vehicle Types Covered:

  • Heavy-Duty Trucks
  • Medium-Duty Trucks
  • Autonomous Delivery Vans

Levels of Automation Covered:

  • Level 3
  • Level 4
  • Level 5

Applications Covered:

  • Long-Haul Transportation
  • Port Operations
  • Mining Logistics
  • Industrial Freight Transport
  • Cross-Border Freight Movement

End Users Covered:

  • Logistics Providers
  • Freight Companies
  • E-commerce Companies
  • Mining Companies
  • Manufacturing Companies

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 Freight Corridors Market, By Component

  • 5.1 Hardware
    • 5.1.1 LiDAR Sensors
    • 5.1.2 Radar Sensors
    • 5.1.3 Cameras
    • 5.1.4 GPS Modules
    • 5.1.5 Edge Computing Units
    • 5.1.6 Connectivity Devices
  • 5.2 Software
    • 5.2.1 Autonomous Driving Software
    • 5.2.2 Fleet Management Software
    • 5.2.3 Route Optimization Software
    • 5.2.4 Mapping & Localization Software
  • 5.3 Services

6 Global Autonomous Freight Corridors Market, By Vehicle Type

  • 6.1 Heavy-Duty Trucks
    • 6.1.1 Class 7 Trucks
    • 6.1.2 Class 8 Trucks
  • 6.2 Medium-Duty Trucks
  • 6.3 Autonomous Delivery Vans

7 Global Autonomous Freight Corridors Market, By Level of Automation

  • 7.1 Level 3
  • 7.2 Level 4
  • 7.3 Level 5

8 Global Autonomous Freight Corridors Market, By Application

  • 8.1 Long-Haul Transportation
  • 8.2 Port Operations
  • 8.3 Mining Logistics
  • 8.4 Industrial Freight Transport
  • 8.5 Cross-Border Freight Movement

9 Global Autonomous Freight Corridors Market, By End User

  • 9.1 Logistics Providers
  • 9.2 Freight Companies
  • 9.3 E-commerce Companies
  • 9.4 Mining Companies
  • 9.5 Manufacturing Companies

10 Global Autonomous Freight Corridors Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Daimler Truck AG
  • 13.2 Volvo Group
  • 13.3 Scania AB
  • 13.4 PACCAR Inc.
  • 13.5 Navistar Inc.
  • 13.6 Aurora Innovation Inc.
  • 13.7 PlusAI Inc.
  • 13.8 Kodiak Robotics Inc.
  • 13.9 TuSimple Holdings Inc.
  • 13.10 Waymo LLC
  • 13.11 NVIDIA Corporation
  • 13.12 Continental AG
  • 13.13 Bosch Mobility
  • 13.14 ZF Friedrichshafen AG
  • 13.15 Embark Trucks Inc.

List of Tables

  • Table 1 Global Autonomous Freight Corridors Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Freight Corridors Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Autonomous Freight Corridors Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Autonomous Freight Corridors Market Outlook, By LiDAR Sensors (2023-2034) ($MN)
  • Table 5 Global Autonomous Freight Corridors Market Outlook, By Radar Sensors (2023-2034) ($MN)
  • Table 6 Global Autonomous Freight Corridors Market Outlook, By Cameras (2023-2034) ($MN)
  • Table 7 Global Autonomous Freight Corridors Market Outlook, By GPS Modules (2023-2034) ($MN)
  • Table 8 Global Autonomous Freight Corridors Market Outlook, By Edge Computing Units (2023-2034) ($MN)
  • Table 9 Global Autonomous Freight Corridors Market Outlook, By Connectivity Devices (2023-2034) ($MN)
  • Table 10 Global Autonomous Freight Corridors Market Outlook, By Software (2023-2034) ($MN)
  • Table 11 Global Autonomous Freight Corridors Market Outlook, By Autonomous Driving Software (2023-2034) ($MN)
  • Table 12 Global Autonomous Freight Corridors Market Outlook, By Fleet Management Software (2023-2034) ($MN)
  • Table 13 Global Autonomous Freight Corridors Market Outlook, By Route Optimization Software (2023-2034) ($MN)
  • Table 14 Global Autonomous Freight Corridors Market Outlook, By Mapping & Localization Software (2023-2034) ($MN)
  • Table 15 Global Autonomous Freight Corridors Market Outlook, By Services (2023-2034) ($MN)
  • Table 16 Global Autonomous Freight Corridors Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 17 Global Autonomous Freight Corridors Market Outlook, By Heavy-Duty Trucks (2023-2034) ($MN)
  • Table 18 Global Autonomous Freight Corridors Market Outlook, By Class 7 Trucks (2023-2034) ($MN)
  • Table 19 Global Autonomous Freight Corridors Market Outlook, By Class 8 Trucks (2023-2034) ($MN)
  • Table 20 Global Autonomous Freight Corridors Market Outlook, By Medium-Duty Trucks (2023-2034) ($MN)
  • Table 21 Global Autonomous Freight Corridors Market Outlook, By Autonomous Delivery Vans (2023-2034) ($MN)
  • Table 22 Global Autonomous Freight Corridors Market Outlook, By Level of Automation (2023-2034) ($MN)
  • Table 23 Global Autonomous Freight Corridors Market Outlook, By Level 3 (2023-2034) ($MN)
  • Table 24 Global Autonomous Freight Corridors Market Outlook, By Level 4 (2023-2034) ($MN)
  • Table 25 Global Autonomous Freight Corridors Market Outlook, By Level 5 (2023-2034) ($MN)
  • Table 26 Global Autonomous Freight Corridors Market Outlook, By Application (2023-2034) ($MN)
  • Table 27 Global Autonomous Freight Corridors Market Outlook, By Long-Haul Transportation (2023-2034) ($MN)
  • Table 28 Global Autonomous Freight Corridors Market Outlook, By Port Operations (2023-2034) ($MN)
  • Table 29 Global Autonomous Freight Corridors Market Outlook, By Mining Logistics (2023-2034) ($MN)
  • Table 30 Global Autonomous Freight Corridors Market Outlook, By Industrial Freight Transport (2023-2034) ($MN)
  • Table 31 Global Autonomous Freight Corridors Market Outlook, By Cross-Border Freight Movement (2023-2034) ($MN)
  • Table 32 Global Autonomous Freight Corridors Market Outlook, By End User (2023-2034) ($MN)
  • Table 33 Global Autonomous Freight Corridors Market Outlook, By Logistics Providers (2023-2034) ($MN)
  • Table 34 Global Autonomous Freight Corridors Market Outlook, By Freight Companies (2023-2034) ($MN)
  • Table 35 Global Autonomous Freight Corridors Market Outlook, By E-commerce Companies (2023-2034) ($MN)
  • Table 36 Global Autonomous Freight Corridors Market Outlook, By Mining Companies (2023-2034) ($MN)
  • Table 37 Global Autonomous Freight Corridors Market Outlook, By Manufacturing Companies (2023-2034) ($MN)

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