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市場調查報告書
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1662796

2030 年自動駕駛卡車市場預測：按卡車類型、推進類型、組件、自動化程度、應用和地區進行的全球分析

Autonomous Trucks Market Forecasts to 2030 - Global Analysis By Truck Type (Light-Duty Trucks, Medium-Duty Trucks and Heavy-Duty Trucks), Propulsion Type (Diesel, Electric and Hybrid), Component, Automation Level, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 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在 2024 年達到 345.9 億美元，到 2030 年將達到 751.7 億美元，預測期內的複合年成長率為 12.8%。

自動駕駛卡車是一種商用車輛，它使用人工智慧 (AI)、感測器、攝影機、雷達和先進的軟體，在極少的人工干預下或完全不需要人工干預的情況下行駛。它使用 LiDAR、GPS 和機器學習等技術來偵測障礙物、解釋交通號誌並最佳化路線。該公司的目標是提高效率，減少人為錯誤，降低運輸成本，並最終徹底改變物流、貨運和供應鏈管理等行業的遠距貨運和配送服務。

美國聯邦汽車運輸安全管理局與卡車運輸業領導者合作進行的一項研究發現，採用自動駕駛技術可將追撞事故減少 50%，同時提高資產運作和駕駛員保留率。

物流和貨運需求不斷成長

電子商務、即時交付模式和全球化的快速擴張推動著對高效、經濟且可擴展的運輸解決方案的需求。自動駕駛卡車可以提供全天候營運、減少人為錯誤並降低營運成本，有助於解決駕駛員短缺、燃料成本上升和供應鏈效率低下等挑戰。公司正在投資自動駕駛技術以最佳化車隊管理並提高運輸速度。隨著貨運量持續上升，自動駕駛卡車的採用將加速，以有效滿足需求，這將顯著促進市場成長。

監管和法律的不確定性

自動駕駛卡車的監管和法律不確定性源於不同國家和州的法律差異，以及缺乏有關檢查、操作和責任的標準化政策。各國政府一直在努力確定事故責任、網路安全風險和道德問題，從而減緩了大規模部署。不一致的規定給製造商和車隊營運商設置了障礙，增加了合規成本並阻礙了投資。這種不確定性將減緩該技術的採用，並最終阻礙自動駕駛卡車市場的成長。

人工智慧和感測器技術的進步

人工智慧和感測器技術的進步是自動駕駛卡車的關鍵驅動力，可增強車輛的感知、導航和決策能力。人工智慧演算法處理來自LiDAR、雷達、相機和 GPS 的即時資料，以改善物體偵測、避障和路線最佳化。這些創新透過減少人為錯誤、最佳化燃料消耗和降低營運成本，使自動駕駛卡車更加現實。隨著感測器精度和人工智慧能力的提升，物流、貨運和工業領域的應用將加速，從而推動市場擴張。

乳糖不耐症增加

由於自動駕駛技術需要昂貴的硬體和軟體，因此自動駕駛卡車的初始投資成本很高。先進的LiDAR、雷達、攝影機、支援人工智慧的處理器和連接解決方案大大增加了生產成本。此外，研發成本、法規遵循和基礎設施升級也增加了財務負擔。這些高成本，尤其是對於中小型物流公司而言，將限制採用，從而阻礙市場成長。

COVID-19 的影響

COVID-19 疫情擾亂了自動駕駛卡車市場，導致供應鏈延遲、半導體短缺以及研發活動放緩。然而，勞動力短缺和不斷成長的電子商務需求也凸顯了物流自動化的必要性。雖然某些地區的監管進展緩慢，但人們對自動駕駛技術的長期興趣日益成長，刺激了貨運自動化領域的夥伴關係和創新，以提高未來供應鏈營運的效率和彈性。

預計預測期內感測器部分將成為最大的部分。

預計預測期內感測器部分將佔據最大的市場佔有率。感測器在自動駕駛卡車中發揮著至關重要的作用，實現即時感知、導航和決策。LiDAR、雷達、攝影機和超音波感測器等技術可實現即時物體偵測、車道維持和主動車距控制巡航系統。這些感測器透過減少人為錯誤、增強障礙物檢測以及實現不同天氣條件下的精確導航來提高道路安全性。

預計預測期內港口和碼頭業務部門將以最高的複合年成長率成長。

由於效率提高、成本降低和安全性增強，預計港口和碼頭業務部門將在預測期內實現最高成長率。這些自動駕駛汽車將實現貨櫃運輸自動化，減少對人類駕駛員的依賴並最大限度地減少延誤。使用 AI、LiDAR、GPS 和 IoT 來導航複雜環境並最佳化負載處理和物流。總體而言，它正在提高全球貿易中心的供應鏈效率。

比最大的地區

在預測期內，由於電子商務的興起、貨運需求的增加以及政府對自動化的支持舉措，預計亞太地區將佔據最大的市場佔有率。得益於人工智慧、5G 和智慧基礎設施的進步，中國、日本和韓國等國家在自動駕駛汽車發展方面處於領先地位。中國科技巨頭和汽車製造商正在大力投資自動駕駛卡車，而日本則專注於解決駕駛員短缺問題。此外，強勁的工業化和物流擴張使亞太地區成為全球自動駕駛卡車行業的主要參與企業。

複合年成長率最高的地區

在預測期內，北美預計將呈現最高的複合年成長率，這得益於貨運需求旺盛、卡車駕駛人短缺和強勁的技術進步。美國引領市場，特斯拉、Waymo 和 TuSimple 等公司正在開發自動駕駛卡車技術。政府支持，包括測試核准和法規結構，正在加速採用。加拿大也在投資遠距路線的自動駕駛卡車。北美繼續成為自動駕駛卡車解決方案創新和部署的重要樞紐。

提供免費客製化

本報告的每位客戶都將獲得以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球自動駕駛卡車市場（依卡車類型）

  • 介紹
  • 小型貨車
  • 中型卡車
  • 大型卡車

6. 全球自動駕駛卡車市場（依推進類型分類）

  • 介紹
  • 柴油引擎
  • 電
  • 混合

7. 全球自動駕駛卡車市場（按零件分類）

  • 介紹
  • 硬體
    • 光檢測和測距 (LiDAR)
    • 雷達感測器
    • 相機
    • 全球定位系統 (GPS)
    • 電控系統（ECU）
  • 軟體
    • 人工智慧和機器學習演算法
    • 自動駕駛軟體
    • 車輛管理系統
    • 地圖和本地化軟體
  • 服務
    • 遠端監控和維護
    • 雲端基礎的連接解決方案
    • 網路安全解決方案

8. 全球自動駕駛卡車市場（依自動化程度分類）

  • 介紹
  • 駕駛援助
  • 部分自動化
  • 條件自動化
  • 全自動
  • 其他

第9章 全球自動駕駛卡車市場（按應用）

  • 介紹
  • 物流和貨運
  • 建築和採礦
  • 港口和碼頭業務
  • 農業
  • 廢棄物管理
  • 軍事和國防
  • 其他

第 10 章。

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • Hyundai Motor Company
  • Iveco Group
  • Scania
  • Traton Group
  • Gatik
  • Volvo Autonomous Solutions
  • Kodiak Robotics
  • Daimler Trucks
  • Tesla
  • Waymo
  • TuSimple
  • Embark Trucks
  • Aurora Innovation
  • Einride
  • Torc Robotics
  • Pronto.ai
  • Caterpillar Inc.
  • Plus
Product Code: SMRC28657

According to Stratistics MRC, the Global Autonomous Trucks Market is accounted for $34.59 billion in 2024 and is expected to reach $75.17 billion by 2030 growing at a CAGR of 12.8% during the forecast period. Autonomous trucks are self-driving commercial vehicles that use artificial intelligence (AI), sensors, cameras, radar, and advanced software to navigate roads with minimal or no human intervention. They operate using technologies like LiDAR, GPS, and machine learning to detect obstacles, interpret traffic signals, and optimize routes. They aim to enhance efficiency, reduce human error, and lower transportation costs in industries like logistics, freight, and supply chain management, ultimately revolutionizing long-haul trucking and delivery services.

According to a study conducted by the Federal Motor Carrier Safety Administration in collaboration with trucking industry leaders, the implementation of autonomous technologies has enabled a 50% reduction in rear-end crashes and an increase in asset uptime and driver retention.

Market Dynamics:

Driver:

Growing demand for logistics & freight transportation

The rapid expansion of e-commerce, just-in-time delivery models, and globalization have increased the need for efficient, cost-effective, and scalable transportation solutions. Autonomous trucks help address challenges like driver shortages, rising fuel costs, and supply chain inefficiencies by offering 24/7 operation, reduced human errors, and lower operational costs. Companies are investing in self-driving technology to optimize fleet management and enhance delivery speed. As freight volumes continue to rise, the adoption of autonomous trucks accelerates to meet demand efficiently, boosting market growth significantly.

Restraint:

Regulatory & legal uncertainty

Regulatory and legal uncertainty in autonomous trucks arises from varying laws across countries and states, lacking standardized policies for testing, operation, and liability. Governments struggle to define responsibility in accidents, cybersecurity risks, and ethical concerns, delaying large-scale deployment. Inconsistent regulations create barriers for manufacturers and fleet operators, increasing compliance costs and limiting investment confidence. This uncertainty slows technological adoption, ultimately hampering the growth of the autonomous trucks market.

Opportunity:

Advancements in AI & sensor technology

Advancements in AI and sensor technology are key drivers of the autonomous trucks, enhancing vehicle perception, navigation, and decision-making. AI-powered algorithms process real-time data from LiDAR, radar, cameras, and GPS, improving object detection, obstacle avoidance, and route optimization. These innovations reduce human errors, optimize fuel consumption, and lower operational costs, making autonomous trucking more viable. As sensor accuracy and AI capabilities improve, adoption accelerates across logistics, freight, and industrial sectors, thereby propelling the market expansion.

Threat:

Increasing incidence of lactose intolerance

Autonomous trucks have high initial investment costs due to the expensive hardware and software required for self-driving technology. Advanced LiDAR, radar, cameras, AI-powered processors, and connectivity solutions significantly increase production costs. Additionally, R&D expenses, regulatory compliance, and infrastructure upgrades add to the financial burden. These high costs hamper market growth by limiting adoption, especially for small and mid-sized logistics companies.

Covid-19 Impact:

The covid-19 pandemic disrupted the autonomous trucks market, causing supply chain delays, semiconductor shortages, and slowed R&D activities. However, it also highlighted the need for automation in logistics due to labor shortages and rising e-commerce demand. Regulatory progress was delayed in some regions, but long-term interest in self-driving technology grew, accelerating partnerships and innovation in freight automation to enhance efficiency and resilience in future supply chain operations.

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. Sensors play a crucial role in autonomous trucks, enabling real-time perception, navigation, and decision-making. Technologies like LiDAR, radar, cameras, and ultrasonic sensors enable real-time object detection, lane-keeping, and adaptive cruise control. These sensors improve road safety by reducing human errors, enhancing obstacle detection, and enabling precise navigation in various weather conditions.

The port & terminal operations segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the port & terminal operations segment is predicted to witness the highest growth rate owing to their improved efficiency, reducing costs, and enhancing safety. These self-driving vehicles automate container transport, reducing reliance on human drivers and minimizing delays. Using AI, LiDAR, GPS, and IoT, they navigate complex environments, optimizing cargo handling and logistics. Overall, they enhance supply chain efficiency in global trade hubs.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rising e-commerce, increasing freight demand, and government initiatives supporting automation. Countries like China, Japan, and South Korea are leading in autonomous vehicle development, driven by advancements in AI, 5G, and smart infrastructure. China's tech giants and automakers invest heavily in self-driving trucks, while Japan focuses on mitigating driver shortages. Further, strong industrialization and logistics expansion positioned Asia-Pacific as a key player in the global autonomous trucking industry.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR driven by high demand for freight transportation, a shortage of truck drivers, and strong technological advancements. The U.S. leads the market, with companies like Tesla, Waymo, and TuSimple developing self-driving truck technology. Government support, including testing approvals and regulatory frameworks, accelerates adoption. Canada is also investing in autonomous trucking for long-haul routes. North America remains a key hub for innovation and deployment of autonomous trucking solutions.

Key players in the market

Some of the key players in Autonomous Trucks market include Hyundai Motor Company, Iveco Group, Scania, Traton Group, Gatik, Volvo Autonomous Solutions, Kodiak Robotics, Daimler Trucks, Tesla, Waymo, TuSimple, Embark Trucks, Aurora Innovation, Einride, Torc Robotics, Pronto.ai, Caterpillar Inc. and Plus.

Key Developments:

In November 2024, Caterpillar Inc. has launched the fully autonomous Cat(R) 777 off-highway truck. The Cat(R) 777, a mid-sized off-highway truck widely used in mining and construction, has been successfully operated without human intervention. With this successful demonstration, Caterpillar strengthens its position as a leader in autonomous heavy machinery, paving the way for broader adoption of self-driving construction and mining equipment worldwide.

In October 2024, Traton Group and Plus launched the Level 4 autonomous truck operations in the US and Europe. The companies have also mapped hub-to-hub routes for phased commercial deployment in Texas. This milestone signifies the successful completion of their initial phase of collaboration to bring driverless trucks to the global market.

Truck Types Covered:

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

Propulsion Types Covered:

  • Diesel
  • Electric
  • Hybrid

Components Covered:

  • Hardware
  • Software
  • Services

Automation Levels Covered:

  • Driver Assistance
  • Partial Automation
  • Conditional Automation
  • Full Automation
  • Other Automation Levels

Applications Covered:

  • Logistics & Freight Transportation
  • Construction & Mining
  • Port & Terminal Operations
  • Agriculture
  • Waste Management
  • Military & Defense
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2022, 2023, 2024, 2026, and 2030
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Trucks Market, By Truck Type

  • 5.1 Introduction
  • 5.2 Light-Duty Trucks
  • 5.3 Medium-Duty Trucks
  • 5.4 Heavy-Duty Trucks

6 Global Autonomous Trucks Market, By Propulsion Type

  • 6.1 Introduction
  • 6.2 Diesel
  • 6.3 Electric
  • 6.4 Hybrid

7 Global Autonomous Trucks Market, By Component

  • 7.1 Introduction
  • 7.2 Hardware
    • 7.2.1 Light Detection & Ranging (LiDAR)
    • 7.2.2 Radar Sensors
    • 7.2.3 Cameras
    • 7.2.4 Global Positioning System (GPS)
    • 7.2.5 Electronic Control Unit (ECU)
  • 7.3 Software
    • 7.3.1 AI & Machine Learning Algorithms
    • 7.3.2 Autonomous Driving Software
    • 7.3.3 Fleet Management Systems
    • 7.3.4 Mapping & Localization Software
  • 7.4 Services
    • 7.4.1 Remote Monitoring & Maintenance
    • 7.4.2 Cloud-Based Connectivity Solutions
    • 7.4.3 Cybersecurity Solutions

8 Global Autonomous Trucks Market, By Automation Level

  • 8.1 Introduction
  • 8.2 Driver Assistance
  • 8.3 Partial Automation
  • 8.4 Conditional Automation
  • 8.5 Full Automation
  • 8.6 Other Automation Levels

9 Global Autonomous Trucks Market, By Application

  • 9.1 Introduction
  • 9.2 Logistics & Freight Transportation
  • 9.3 Construction & Mining
  • 9.4 Port & Terminal Operations
  • 9.5 Agriculture
  • 9.6 Waste Management
  • 9.7 Military & Defense
  • 9.8 Other Applications

10 Global Autonomous Trucks Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.10 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.10 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.1 Middle East & Africa
    • 10.10.1 Saudi Arabia
    • 10.10.2 UAE
    • 10.10.3 Qatar
    • 10.10.4 South Africa
    • 10.10.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Hyundai Motor Company
  • 12.2 Iveco Group
  • 12.3 Scania
  • 12.4 Traton Group
  • 12.5 Gatik
  • 12.6 Volvo Autonomous Solutions
  • 12.7 Kodiak Robotics
  • 12.8 Daimler Trucks
  • 12.9 Tesla
  • 12.10 Waymo
  • 12.11 TuSimple
  • 12.12 Embark Trucks
  • 12.13 Aurora Innovation
  • 12.14 Einride
  • 12.15 Torc Robotics
  • 12.16 Pronto.ai
  • 12.17 Caterpillar Inc.
  • 12.18 Plus

List of Tables

  • Table 1 Global Autonomous Trucks Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Autonomous Trucks Market Outlook, By Truck Type (2022-2030) ($MN)
  • Table 3 Global Autonomous Trucks Market Outlook, By Light-Duty Trucks (2022-2030) ($MN)
  • Table 4 Global Autonomous Trucks Market Outlook, By Medium-Duty Trucks (2022-2030) ($MN)
  • Table 5 Global Autonomous Trucks Market Outlook, By Heavy-Duty Trucks (2022-2030) ($MN)
  • Table 6 Global Autonomous Trucks Market Outlook, By Propulsion Type (2022-2030) ($MN)
  • Table 7 Global Autonomous Trucks Market Outlook, By Diesel (2022-2030) ($MN)
  • Table 8 Global Autonomous Trucks Market Outlook, By Electric (2022-2030) ($MN)
  • Table 9 Global Autonomous Trucks Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 10 Global Autonomous Trucks Market Outlook, By Component (2022-2030) ($MN)
  • Table 11 Global Autonomous Trucks Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 12 Global Autonomous Trucks Market Outlook, By Light Detection & Ranging (LiDAR) (2022-2030) ($MN)
  • Table 13 Global Autonomous Trucks Market Outlook, By Radar Sensors (2022-2030) ($MN)
  • Table 14 Global Autonomous Trucks Market Outlook, By Cameras (2022-2030) ($MN)
  • Table 15 Global Autonomous Trucks Market Outlook, By Global Positioning System (GPS) (2022-2030) ($MN)
  • Table 16 Global Autonomous Trucks Market Outlook, By Electronic Control Unit (ECU) (2022-2030) ($MN)
  • Table 17 Global Autonomous Trucks Market Outlook, By Software (2022-2030) ($MN)
  • Table 18 Global Autonomous Trucks Market Outlook, By AI & Machine Learning Algorithms (2022-2030) ($MN)
  • Table 19 Global Autonomous Trucks Market Outlook, By Autonomous Driving Software (2022-2030) ($MN)
  • Table 20 Global Autonomous Trucks Market Outlook, By Fleet Management Systems (2022-2030) ($MN)
  • Table 21 Global Autonomous Trucks Market Outlook, By Mapping & Localization Software (2022-2030) ($MN)
  • Table 22 Global Autonomous Trucks Market Outlook, By Services (2022-2030) ($MN)
  • Table 23 Global Autonomous Trucks Market Outlook, By Remote Monitoring & Maintenance (2022-2030) ($MN)
  • Table 24 Global Autonomous Trucks Market Outlook, By Cloud-Based Connectivity Solutions (2022-2030) ($MN)
  • Table 25 Global Autonomous Trucks Market Outlook, By Cybersecurity Solutions (2022-2030) ($MN)
  • Table 26 Global Autonomous Trucks Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 27 Global Autonomous Trucks Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 28 Global Autonomous Trucks Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 29 Global Autonomous Trucks Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 30 Global Autonomous Trucks Market Outlook, By Full Automation (2022-2030) ($MN)
  • Table 31 Global Autonomous Trucks Market Outlook, By Other Automation Levels (2022-2030) ($MN)
  • Table 32 Global Autonomous Trucks Market Outlook, By Application (2022-2030) ($MN)
  • Table 33 Global Autonomous Trucks Market Outlook, By Logistics & Freight Transportation (2022-2030) ($MN)
  • Table 34 Global Autonomous Trucks Market Outlook, By Construction & Mining (2022-2030) ($MN)
  • Table 35 Global Autonomous Trucks Market Outlook, By Port & Terminal Operations (2022-2030) ($MN)
  • Table 36 Global Autonomous Trucks Market Outlook, By Agriculture (2022-2030) ($MN)
  • Table 37 Global Autonomous Trucks Market Outlook, By Waste Management (2022-2030) ($MN)
  • Table 38 Global Autonomous Trucks Market Outlook, By Military & Defense (2022-2030) ($MN)
  • Table 39 Global Autonomous Trucks Market Outlook, By Other Applications (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.