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市場調查報告書
商品編碼
2069263

自動駕駛卡車市場：未來預測（至2034年）－按自動駕駛等級、卡車類型、組件、動力系統、應用、最終用戶和地區分類的全球分析

Autonomous Trucking Market Forecasts to 2034 - Global Analysis By Autonomy Level (Level 1, Level 2, Level 3, Level 4, and Level 5 ), Truck Type, Component, Propulsion Type, 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，全球自動駕駛卡車市場預計將在 2026 年達到 32 億美元，到 2034 年達到 285 億美元，在預測期內以 31.4% 的複合年成長率成長。

自動駕駛卡車利用人工智慧、感測器、攝影機、雷達、LiDAR和自動駕駛系統等先進技術，在極少或無需人為干預的情況下運作。這些車輛能夠自主執行導航、車道維持、障礙物偵測、速度控制和路線最佳化等功能。這項技術旨在提高道路安全、提升貨運效率、降低營運成本、緩解駕駛員短缺問題，並推動現代物流和運輸系統的發展。

提高貨運效率和解決司機短缺問題的需求日益成長。

主要經濟體普遍存在合格商用卡車駕駛人短缺的問題，迫使物流公司加速自動駕駛卡車技術的投資。車輛營運商面臨越來越大的壓力，既要維持按時交付，又要應對不斷上漲的人事費用和繁重的監管合規負擔。自動駕駛系統為實現全天候運作、降低每英里成本和提高安全記錄提供了一條充滿希望​​的途徑。政府對智慧公路基礎設施的投資以及支持試驗計畫的立法，進一步加速了自動駕駛卡車的商業部署，使得採用自動駕駛卡車成為大規模貨運營運商的必然選擇。

監管不一致和問責不明確

缺乏統一的國際自動駕駛卡車營運法規結構造成了巨大的商業不確定性。各州、國家和地區在營運設計、安全認證和責任歸屬方面的差異，使得跨境部署和保險方案更加複雜。技術開發商和車輛營運商必須應對不斷變化的監管體系，這增加了合規成本，並延緩了商業化進程。在監管機構制定明確的事故責任認定標準之前，自動駕駛車輛的廣泛部署可能仍將受到限制，尤其是在公共道路上的L4和L5級自動駕駛領域。

高速公路樞紐間走廊的擴建

連接主要物流樞紐的結構化高速公路走廊是短期內自動駕駛卡車最具商業性可行性的部署環境。這些規劃有序的路線降低了都市區駕駛的營運複雜性，使技術供應商能夠利用現有的感測器和人工智慧技術實現商業規模的營運。多家物流公司正與技術開發商合作，建造專用於自動駕駛貨物的車道，並輔以策略性佈局的轉運站。這種樞紐間模式被視為未來十年重要的商業性成長路徑，能夠在顯著提升效率的同時，最大限度地減少在複雜環境中實現完全自動駕駛的需求。

網路安全漏洞和系統可靠性問題

自動駕駛卡車平台依賴車輛、基礎設施和雲端管理系統之間持續的資料交換，這擴大了惡意攻擊者的攻擊面。針對貨運控制軟體和導航資料的網路攻擊可能導致車輛出現危險行為、貨物被竊或物流大規模中斷。此外，在惡劣天氣條件下感測器性能下降以及無法處理極端情況仍然是持續存在的技術可靠性問題。隨著商業部署的擴大，系統故障的影響將更加嚴重，因此需要持續投入大量資金用於冗餘安全架構和強大的網路安全框架，以維護營運商和公眾的信任。

新型冠狀病毒（COVID-19）的影響：

新冠疫情暴露了傳統貨運網路的諸多脆弱性。司機短缺、邊境關閉和保持社交距離的要求嚴重擾亂了供應鏈。這場危機加速了人們對自動駕駛卡車的興趣，營運商們開始尋求能夠取代人工物流的更具韌性的方案。疫情後的復甦階段，電子商務交易量激增，給貨運能力帶來了更大壓力，自動化解決方案的策略價值也進一步凸顯。隨後，創投和合作活動激增，各大汽車製造商和科技公司也大幅擴展了其自動駕駛卡車計畫。

在預測期內，重型卡車細分市場預計將佔據最大的市場佔有率。

受長途貨運成本大幅降低潛力的推動，重型卡車市場預計將在預測期內佔據最大的市場佔有率。重型卡車的年行駛里程最長，駕駛人相關成本最高，因此成為自動化投資的首選目標。戴姆勒卡車、沃爾沃和帕卡等領先的原始設備製造商 (OEM) 正在積極開發和商業化 8 級車輛的自動駕駛功能。大量創業投資的支持以及在北美和歐洲主要運輸路線上開展的成熟商業試驗計畫進一步鞏固了該細分市場的主導地位。

在預測期內，預計電動車領域將呈現最高的複合年成長率。

在預測期內，由於一系列脫碳法規的推出和電池能量密度的快速提升，電動車領域預計將呈現最高的成長率。歐盟和加州先進清潔卡車法規 (ACT) 的監管壓力正在強制要求商用車隊按計畫進行電氣化。將電動動力傳動系統與自動駕駛系統結合，能夠產生協同增效效應，因為自動駕駛系統可以透過預測路線和能量回收煞車來最佳化能源消耗。充電基礎設施投資的增加和電池成本的下降正在逐步縮小電動車和柴油汽車之間的總擁有成本 (TCO) 差距。

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。這得歸功於其四通八達的州際公路網路，非常適合系統性地部署自動駕駛技術；強大的創業投資系統為技術開發提供資金；以及德克薩斯州和亞利桑那州等州開展的先進監管試點項目。此外，Aurora Innovation、Kodiak AI 和 Tolk Robotics 等領先的自動駕駛卡車技術公司也在此聚集，形成強大的國內供應鏈。該地區巨大的貨運量和嚴重的司機短缺問題，為快速滲透市場提供了強勁的商業性獎勵。

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，這主要得益於中國積極的國家自動駕駛戰略以及政府主導的智慧交通基礎設施的大量投資。中國科技公司和整車製造商，例如Inceptio Technologies和Pony Eye，正在大規模部署商用自動駕駛卡車業務。東南亞市場電子商務的日益普及帶來了巨大的貨運需求，同時該地區多個國家的政府正在創建有利的監管沙盒以加速商業化。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球自動駕駛卡車市場：以自動駕駛等級分類

  • 一級（駕駛輔助）
  • 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（全自動）

第6章 全球自動駕駛卡車市場：依卡車類型分類

  • 小型卡車
  • 中型卡車
  • 大型卡車

第7章 全球自動駕駛卡車市場：按組件分類

  • 硬體
    • 感應器
    • 相機
    • 雷達
    • LiDAR
    • GPS導航系統
    • 電控系統（ECU）
  • 軟體
  • 服務

第8章：全球自動駕駛卡車市場：依推進系統分類

  • 柴油引擎
  • 電的
  • 混合
  • 氫燃料電池

第9章 全球自動駕駛卡車市場：按應用分類

  • 長途
  • 樞紐間物流
  • 最後一公里配送
  • 採礦和採石
  • 港口和堆場作業
  • 建築和工業運輸

第10章：全球自動駕駛卡車市場：依最終用戶分類

  • 物流和運輸公司
  • 零售和電子商務公司
  • 製造商
  • 礦業公司
  • 石油和天然氣公司
  • 政府和國防機構

第11章 全球自動駕駛卡車市場：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12章 策略市場資訊

  • 產業加值網路與供應鏈評估
  • 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13章 產業趨勢與策略舉措

  • 企業合併（M&A）
  • 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14章：公司簡介

  • Aurora Innovation
  • Kodiak AI
  • Waabi
  • Gatik
  • Plus
  • Torc Robotics
  • Einride
  • Pony.ai
  • Inceptio Technology
  • Stack AV
  • Volvo Autonomous Solutions
  • MAN Truck & Bus
  • Scania
  • PACCAR
  • Daimler Truck
Product Code: SMRC37279

According to Stratistics MRC, the Global Autonomous Trucking Market is accounted for $3.2 billion in 2026 and is expected to reach $28.5 billion by 2034, growing at a CAGR of 31.4% during the forecast period. Autonomous trucking is the use of advanced technologies such as artificial intelligence, sensors, cameras, radar, lidar, and automated driving systems that enable trucks to operate with minimal or no human intervention. These vehicles can independently perform functions including navigation, lane keeping, obstacle detection, speed regulation, and route optimization. The technology is designed to improve road safety, increase freight transportation efficiency, lower operating expenses, address driver shortages, and support the advancement of modern logistics and transportation systems.

Market Dynamics:

Driver:

Escalating demand for freight efficiency and driver shortage solutions

The persistent shortage of qualified commercial truck drivers across major economies is compelling logistics companies to accelerate investments in autonomous trucking technologies. Fleet operators are under mounting pressure to sustain delivery schedules while managing rising labor costs and regulatory compliance burdens. Autonomous systems offer a compelling path toward round-the-clock operations, reduced per-mile costs, and enhanced safety records. Government infrastructure investments in smart highways and favorable pilot-program legislation are further enabling commercial deployments, making the business case for autonomous trucking adoption increasingly undeniable for large-scale freight operators.

Restraint:

Regulatory fragmentation and liability ambiguity

The absence of a harmonized international regulatory framework for autonomous trucking operations creates significant commercial uncertainty. Differing state, national, and regional rules regarding operational design domains, safety certifications, and liability assignment complicate cross-border deployments and insurance structuring. Technology developers and fleet operators must navigate a patchwork of evolving mandates that increase compliance costs and delay commercialization timelines. Until regulators establish clear standards governing autonomous vehicle accountability in accident scenarios, widespread adoption will remain constrained, particularly for Level 4 and Level 5 operations on public roads.

Opportunity:

Expansion of highway hub-to-hub deployment corridors

Structured highway corridors connecting major logistics hubs represent the most commercially viable near-term deployment environment for autonomous trucking. These controlled routes reduce the operational complexity associated with urban driving, enabling technology providers to achieve commercial scale with existing sensor and AI capabilities. Several logistics companies are collaborating with technology developers to establish dedicated autonomous freight lanes supported by strategically placed transfer terminals. This hub-to-hub model minimizes the need for full autonomy in complex environments while delivering measurable efficiency gains, positioning it as the principal commercial growth pathway through the next decade.

Threat:

Cybersecurity vulnerabilities and system reliability concerns

Autonomous trucking platforms depend on continuous data exchange between vehicles, infrastructure, and cloud-based management systems, creating expanded attack surfaces for malicious actors. A cyberattack targeting fleet control software or navigation data could result in dangerous vehicle behaviors, cargo theft, or widespread logistics disruption. Additionally, sensor degradation in adverse weather conditions and edge-case handling failures represent persistent technical reliability concerns. As commercial deployments scale, the consequences of system failures become more severe, requiring substantial ongoing investment in redundant safety architectures and robust cybersecurity frameworks to maintain operator and public confidence.

Covid-19 Impact:

The COVID-19 pandemic exposed critical vulnerabilities in traditional freight networks, with driver unavailability, border closures, and social distancing requirements severely disrupting supply chains. This crisis accelerated interest in autonomous trucking as operators sought resilient alternatives to human-dependent logistics. Post-pandemic recovery elevated e-commerce volumes dramatically, intensifying pressure on freight capacity and reinforcing the strategic value of automated solutions. Venture investment and partnership activity surged in the subsequent recovery period, with major automotive and technology companies significantly expanding their autonomous trucking programs.

The Heavy-Duty Trucks segment is expected to be the largest during the forecast period

The Heavy-Duty Trucks segment is expected to account for the largest market share during the forecast period, driven by the immense cost-savings potential in long-haul freight operations. Heavy-duty vehicles log the highest annual mileages and incur the greatest driver-related expenditures, making them the primary target for automation investments. Major OEMs including Daimler Truck, Volvo, and PACCAR are actively developing and commercializing autonomous capabilities for Class 8 vehicles. The segment's dominance is reinforced by significant venture capital backing and established commercial pilot programs across North American and European corridors.

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

Over the forecast period, the Electric propulsion segment is predicted to witness the highest growth rate, owing to converging decarbonization mandates and rapidly improving battery energy density. Regulatory pressure from the European Union and California's Advanced Clean Trucks rule is mandating electrification timelines for commercial vehicle fleets. The combination of electric powertrains with autonomous driving systems offers compounding efficiency benefits, as autonomous operation optimizes energy consumption through predictive routing and regenerative braking. Growing charging infrastructure investment and declining battery costs are progressively narrowing the total cost of ownership gap with diesel alternatives.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by an extensive interstate highway network ideal for structured autonomous deployments, a well-developed venture capital ecosystem funding technology development, and progressive regulatory pilots in states such as Texas and Arizona. The presence of leading autonomous trucking technology companies including Aurora Innovation, Kodiak AI, and Torc Robotics provides a strong domestic supply chain. The region's high freight volumes and acute driver shortage problem create compelling commercial incentives for rapid market penetration.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by China's aggressive national autonomous driving strategy and substantial government-backed investments in smart transportation infrastructure. Chinese technology companies and OEMs including Inceptio Technology and Pony.ai are deploying commercial autonomous trucking operations at scale. Expanding e-commerce penetration across Southeast Asian markets is generating significant freight demand, while several governments in the region are establishing favorable regulatory sandboxes to accelerate commercialization.

Key players in the market

Some of the key players in Autonomous Trucking Market include urora Innovation, Kodiak AI, Waabi, Gatik, Plus, Torc Robotics, Einride, Pony.ai, Inceptio Technology, Stack AV, Volvo Autonomous Solutions, MAN Truck & Bus, Scania, PACCAR, and Daimler Truck.

Key Developments:

In March 2026, Aurora Innovation announced the commercial launch of its Aurora Driver-powered autonomous freight service between Dallas and Houston, partnering with Uber Freight and Werner Enterprises to scale driverless truck operations on this high-volume corridor, marking a pivotal milestone in commercial autonomous trucking deployment.

In January 2026, Daimler Truck announced a strategic collaboration with Torc Robotics to accelerate the integration of autonomous driving software into its Freightliner Cascadia platform, with planned commercial availability in select U.S. corridors by late 2027 following expanded real-world testing across multiple highway routes.

Autonomy Levels Covered:

  • Level 1 (Driver Assistance)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Truck Types Covered:

  • Light-Duty Trucks
  • Medium-Duty Trucks
  • Heavy-Duty Trucks

Components Covered:

  • Hardware
  • Software
  • Services

Propulsion Types Covered:

  • Diesel
  • Electric
  • Hybrid
  • Hydrogen Fuel Cell

Applications Covered:

  • Long-Haul Transportation
  • Hub-to-Hub Logistics
  • Last-Mile Delivery
  • Mining and Quarry Operations
  • Port and Yard Operations
  • Construction and Industrial Transportation

End Users Covered:

  • Logistics and Transportation Companies
  • Retail and E-commerce Companies
  • Manufacturing Companies
  • Mining Companies
  • Oil & Gas Companies
  • Government and Defense Organizations

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 Trucking Market, By Autonomy Level

  • 5.1 Level 1 (Driver Assistance)
  • 5.2 Level 2 (Partial Automation)
  • 5.3 Level 3 (Conditional Automation)
  • 5.4 Level 4 (High Automation)
  • 5.5 Level 5 (Full Automation)

6 Global Autonomous Trucking Market, By Truck Type

  • 6.1 Light-Duty Trucks
  • 6.2 Medium-Duty Trucks
  • 6.3 Heavy-Duty Trucks

7 Global Autonomous Trucking Market, By Component

  • 7.1 Hardware
    • 7.1.1 Sensors
    • 7.1.2 Cameras
    • 7.1.3 Radar
    • 7.1.4 LiDAR
    • 7.1.5 GPS and Navigation Systems
    • 7.1.6 Electronic Control Units (ECUs)
  • 7.2 Software
  • 7.3 Services

8 Global Autonomous Trucking Market, By Propulsion Type

  • 8.1 Diesel
  • 8.2 Electric
  • 8.3 Hybrid
  • 8.4 Hydrogen Fuel Cell

9 Global Autonomous Trucking Market, By Application

  • 9.1 Long-Haul Transportation
  • 9.2 Hub-to-Hub Logistics
  • 9.3 Last-Mile Delivery
  • 9.4 Mining and Quarry Operations
  • 9.5 Port and Yard Operations
  • 9.6 Construction and Industrial Transportation

10 Global Autonomous Trucking Market, By End User

  • 10.1 Logistics and Transportation Companies
  • 10.2 Retail and E-commerce Companies
  • 10.3 Manufacturing Companies
  • 10.4 Mining Companies
  • 10.5 Oil & Gas Companies
  • 10.6 Government and Defense Organizations

11 Global Autonomous Trucking Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Aurora Innovation
  • 14.2 Kodiak AI
  • 14.3 Waabi
  • 14.4 Gatik
  • 14.5 Plus
  • 14.6 Torc Robotics
  • 14.7 Einride
  • 14.8 Pony.ai
  • 14.9 Inceptio Technology
  • 14.10 Stack AV
  • 14.11 Volvo Autonomous Solutions
  • 14.12 MAN Truck & Bus
  • 14.13 Scania
  • 14.14 PACCAR
  • 14.15 Daimler Truck

List of Tables

  • Table 1 Global Autonomous Trucking Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Trucking Market Outlook, By Autonomy Level (2023-2034) ($MN)
  • Table 3 Global Autonomous Trucking Market Outlook, By Level 1 (Driver Assistance) (2023-2034) ($MN)
  • Table 4 Global Autonomous Trucking Market Outlook, By Level 2 (Partial Automation) (2023-2034) ($MN)
  • Table 5 Global Autonomous Trucking Market Outlook, By Level 3 (Conditional Automation) (2023-2034) ($MN)
  • Table 6 Global Autonomous Trucking Market Outlook, By Level 4 (High Automation) (2023-2034) ($MN)
  • Table 7 Global Autonomous Trucking Market Outlook, By Level 5 (Full Automation) (2023-2034) ($MN)
  • Table 8 Global Autonomous Trucking Market Outlook, By Truck Type (2023-2034) ($MN)
  • Table 9 Global Autonomous Trucking Market Outlook, By Light-Duty Trucks (2023-2034) ($MN)
  • Table 10 Global Autonomous Trucking Market Outlook, By Medium-Duty Trucks (2023-2034) ($MN)
  • Table 11 Global Autonomous Trucking Market Outlook, By Heavy-Duty Trucks (2023-2034) ($MN)
  • Table 12 Global Autonomous Trucking Market Outlook, By Component (2023-2034) ($MN)
  • Table 13 Global Autonomous Trucking Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 14 Global Autonomous Trucking Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 15 Global Autonomous Trucking Market Outlook, By Cameras (2023-2034) ($MN)
  • Table 16 Global Autonomous Trucking Market Outlook, By Radar (2023-2034) ($MN)
  • Table 17 Global Autonomous Trucking Market Outlook, By LiDAR (2023-2034) ($MN)
  • Table 18 Global Autonomous Trucking Market Outlook, By GPS and Navigation Systems (2023-2034) ($MN)
  • Table 19 Global Autonomous Trucking Market Outlook, By Electronic Control Units (ECUs) (2023-2034) ($MN)
  • Table 20 Global Autonomous Trucking Market Outlook, By Software (2023-2034) ($MN)
  • Table 21 Global Autonomous Trucking Market Outlook, By Services (2023-2034) ($MN)
  • Table 22 Global Autonomous Trucking Market Outlook, By Propulsion Type (2023-2034) ($MN)
  • Table 23 Global Autonomous Trucking Market Outlook, By Diesel (2023-2034) ($MN)
  • Table 24 Global Autonomous Trucking Market Outlook, By Electric (2023-2034) ($MN)
  • Table 25 Global Autonomous Trucking Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 26 Global Autonomous Trucking Market Outlook, By Hydrogen Fuel Cell (2023-2034) ($MN)
  • Table 27 Global Autonomous Trucking Market Outlook, By Application (2023-2034) ($MN)
  • Table 28 Global Autonomous Trucking Market Outlook, By Long-Haul Transportation (2023-2034) ($MN)
  • Table 29 Global Autonomous Trucking Market Outlook, By Hub-to-Hub Logistics (2023-2034) ($MN)
  • Table 30 Global Autonomous Trucking Market Outlook, By Last-Mile Delivery (2023-2034) ($MN)
  • Table 31 Global Autonomous Trucking Market Outlook, By Mining and Quarry Operations (2023-2034) ($MN)
  • Table 32 Global Autonomous Trucking Market Outlook, By Port and Yard Operations (2023-2034) ($MN)
  • Table 33 Global Autonomous Trucking Market Outlook, By Construction and Industrial Transportation (2023-2034) ($MN)
  • Table 34 Global Autonomous Trucking Market Outlook, By End User (2023-2034) ($MN)
  • Table 35 Global Autonomous Trucking Market Outlook, By Logistics and Transportation Companies (2023-2034) ($MN)
  • Table 36 Global Autonomous Trucking Market Outlook, By Retail and E-commerce Companies (2023-2034) ($MN)
  • Table 37 Global Autonomous Trucking Market Outlook, By Manufacturing Companies (2023-2034) ($MN)
  • Table 38 Global Autonomous Trucking Market Outlook, By Mining Companies (2023-2034) ($MN)
  • Table 39 Global Autonomous Trucking Market Outlook, By Oil & Gas Companies (2023-2034) ($MN)
  • Table 40 Global Autonomous Trucking Market Outlook, By Government and Defense Organizations (2023-2034) ($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.