查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1928986

卡車編隊行駛市場成長機會、成長要素、產業趨勢分析及2026年至2035年預測

Truck Platooning Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026 - 2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 250 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

全球卡車編隊行駛市場預計到 2025 年將達到 1.695 億美元，到 2035 年將達到 11.6 億美元，年複合成長率為 21.5%。

卡車編隊行駛市場-IMG1

物流和運輸公司對提高效率、節約燃油和提升繁忙路段安全性的需求日益成長，推動了市場成長。世界各國政府都在積極支持試驗計畫和道路試驗，同時認真評估道路基礎設施、實施成本、安全性和風險管理等因素。隨著卡車編隊行駛技術的成熟和商業性化，預計大型物流和電商公司將成為早期採用者，在其車隊中部署編隊行駛技術以提高營運效率。監管支持力度更大、交通網路更發達、貨運量更高的地區可能會更快採用這項技術。此外，聯網汽車技術的日益普及、貨運運營數位化的提高以及物流行業持續推進的永續性舉措，也都在促進市場成長。

市場覆蓋範圍
開始年份 2025
預測期 2026-2035
起始值 1.695億美元
預測金額 11.6億美元
複合年成長率 21.5%

到2025年，駕駛輔助卡車編隊行駛（DATP）市佔率將達到95.1%。 DATP系統至少需要一名駕駛員領頭，而後方卡車則保持半自動駕駛狀態。由於道路基礎設施限制、交通密度和監管限制等因素，全自動駕駛編隊行駛面臨許多挑戰，預計這種主導地位在可預見的未來仍將持續。依賴人工操作既能確保安全，又能讓物流業者享受到降低油耗和提高編隊行駛效率帶來的益處。隨著技術和監管法規結構日趨成熟，最終實現全自動駕駛解決方案，DATP也為車隊提供了一個切實可行的過渡方案。

預計2026年至2035年間，車聯網（V2X）技術領域將以23.1%的複合年成長率成長。 V2X技術能夠實現車輛、基礎設施和駕駛輔助系統之間的無縫連接，從而實現車隊內部的即時協調。該技術的應用提高了車隊行駛的效率、安全性和準確性，使加速、煞車和路線管理更加平穩。隨著V2X技術的日益成熟，其與數位雙胞胎模擬和自動駕駛車輛控制等先進技術的整合有望進一步提升卡車車隊行駛系統的性能和擴充性。

預計到2025年，美國卡車編隊行駛市場規模將達5,300萬美元。政府政策以及聯邦和州政府機構之間的合作正在推動這項技術從封閉測試場地向公共公路上的實際貨運運營過渡。美國運輸部已將卡車編隊行駛確定為自動駕駛車輛在貨運領域的早期應用之一，並正在推動各州之間的合作，以協調安全法規、發展基礎設施並制定營運策略。推動市場成長的因素包括駕駛輔助系統的普及、相關立法的支持以及提高長途運輸網路效率和降低成本的需求。

目錄

第1章調查方法

第2章執行摘要

第3章業界考察

  • 生態系分析
    • 供應商情況
    • 利潤率
    • 成本結構
    • 每個階段的附加價值
    • 影響價值鏈的因素
    • 中斷
  • 產業影響因素
    • 促進要素
      • 由於燃油成本上漲，需要削減開支
      • 車對車（V2V）技術的進步
      • 擴大ADAS（進階駕駛輔助系統）的應用
      • 政府對互聯和自動駕駛交通的支持
    • 產業潛在風險與挑戰
      • 網路安全和資料隱私問題
      • 新興經濟體基礎建設發展落後
    • 市場機遇
      • 與 L2-L4 級自動駕駛卡車解決方案整合
      • 在專用貨運走廊引入
      • 汽車製造商、車隊營運商和技術提供者之間的夥伴關係
      • 大型物流和電子商務車隊的採用情況
  • 成長潛力分析
  • 監管環境
    • 北美洲
      • 美國聯邦自動駕駛汽車政策指南（NHTSA 指南）
      • 聯邦自動駕駛汽車法案
      • 加拿大運輸部指南
      • 各州自動駕駛汽車法律
    • 歐洲
      • 聯合國第157號條例－自動車道維持系統（ALKS）
      • 歐盟法規（EU）
      • 自動駕駛法案
    • 亞太地區
      • 中國的自動駕駛道路測試法規
      • 日本道路交通法與汽車運輸業務法
      • 東協自動駕駛汽車現狀
    • 拉丁美洲
      • 巴西自動駕駛汽車測試指南
      • 智利批准自動駕駛汽車飛行員
      • RCEP區域技術合作框架
    • 中東和非洲
      • 阿拉伯聯合大公國/杜拜自動駕駛運輸戰略和卡車框架
      • 南非自動駕駛/聯網汽車政策草案
  • 波特分析
  • PESTEL 分析
  • 科技與創新趨勢
    • 當前技術趨勢
    • 新興技術
  • 成本細分分析
  • 永續性和環境影響
    • 環境影響評估
    • 社會影響力和社區服務
    • 公司管治與企業社會責任
    • 永續金融與投資趨勢
  • 案例研究
  • 車隊經濟性、投資收益報酬率 (ROI) 和投資回收期分析
  • 商業化準備與應用成熟度評估
  • 優先考慮有前景的走廊和用例
  • 硬體架構和初始投資分析
  • 軟體和業務收益貨幣化模式
    • 編隊軟體堆疊
    • 供應商使用的定價模式
    • 訂閱和定期收費結構
    • 營運服務成本

第4章 競爭情勢

  • 介紹
  • 公司市佔率分析
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 主要市場公司的競爭分析
  • 競爭定位矩陣
  • 戰略展望矩陣
  • 重大進展
    • 併購
    • 夥伴關係與合作
    • 新產品發布
    • 企業擴張計畫和資金籌措

第5章 市場估價與預測：編隊行駛，2022-2035年

  • 駕駛員輔助卡車編隊行駛（DATP）
  • 自動駕駛卡車編隊行駛

第6章 按組件分類的市場估算與預測，2022-2035年

  • 硬體
    • 雷達
    • LiDAR
    • 相機
    • 其他硬體
  • 軟體
  • 服務

7. 通訊技術市場估算與預測，2022-2035年

  • 車對車（V2V）通訊
  • 車路通訊（V2I）
  • Vehicle-to-Everything（V2X）

第8章 按車輛類型分類的市場估算與預測，2022-2035年

  • 輕型商用車（LCV）
  • 中型商用車（MCV）
  • 重型商用車（HCV）

第9章 2022-2035年各地區市場估算與預測

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 北歐國家
    • 比荷盧經濟聯盟
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • ANZ
    • 新加坡
    • 馬來西亞
    • 印尼
    • 越南
    • 泰國
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第10章：公司簡介

  • 世界公司
    • Daimler Truck
    • Volvo
    • Scania
    • Continental
    • IVECO
    • MAN Truck &Bus
    • DAF Trucks
    • ZF Friedrichshafen
    • Robert Bosch
    • Knorr-Bremse
    • Plus（PlusAI）
  • 當地公司
    • Kratos Defense &Security Solutions
    • Waabi
    • Gatik
    • Bendix Commercial Vehicle Systems
    • Denso
    • Hyundai Motor
  • 新興企業
    • UD Trucks
    • Hino Motors
    • Cohda Wireless
簡介目錄
Product Code: 5329

The Global Truck Platooning Market was valued at USD 169.5 million in 2025 and is estimated to grow at a CAGR of 21.5% to reach USD 1.16 billion by 2035.

Truck Platooning Market - IMG1

The market growth is driven by increasing interest from logistics and transportation companies seeking efficiency, fuel savings, and safety improvements along frequently used routes. Governments worldwide are actively supporting pilot programs and on-road trials, carefully evaluating factors such as road infrastructure, deployment costs, safety, and risk management. As truck platooning technology matures and becomes commercially viable, major logistics and e-commerce players are expected to be early adopters, deploying platooning in their fleets to improve operational efficiency. Regions with strong regulatory support, robust transportation networks, and higher freight volumes are poised to experience faster adoption. The market is also benefiting from the rise of connected vehicle technologies, increasing digitalization in freight operations, and the ongoing push toward sustainability in the logistics industry.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$169.5 Million
Forecast Value$1.16 Billion
CAGR21.5%

The driver-assistive truck platooning (DATP) segment held a 95.1% share in 2025. DATP systems require at least one driver to lead the convoy, while following trucks remain semi-automated. This dominance is expected to continue in the near term as fully autonomous platooning faces challenges due to road infrastructure limitations, traffic density, and regulatory constraints. The reliance on a human operator ensures safety while allowing logistics operators to benefit from reduced fuel consumption and improved convoy efficiency. DATP also provides a practical transition stage for fleets as technology and regulatory frameworks mature toward fully autonomous solutions.

The vehicle-to-everything (V2X) communication technology segment is projected to grow at a CAGR of 23.1% from 2026 to 2035. V2X enables seamless connectivity between vehicles, infrastructure, and driver assistance systems, allowing real-time coordination within platoons. Its adoption is driving efficiency, safety, and precision in convoy operations, enabling smoother acceleration, braking, and route management. As V2X matures, it is expected to integrate with advanced technologies such as digital twin simulations and autonomous vehicle controls, further enhancing the performance and scalability of truck platooning systems.

U.S. Truck Platooning Market reached USD 53 million in 2025. The market is transitioning from closed-track testing to actual freight operations on public highways, supported by government policies and collaborative efforts between federal and state agencies. The U.S. Department of Transportation has identified truck platooning as one of the earliest applications of automated vehicles in freight, encouraging partnerships between states to align safety regulations, develop infrastructure, and plan operational strategies. Growth is driven by the adoption of driver-assistive systems, supportive legislation, and the need for greater efficiency and cost savings in long-haul transportation networks.

Major players operating in the Global Truck Platooning Market include MAN Truck & Bus, Daimler Truck, Volvo, IVECO, Robert Bosch, Kratos, Scania, Knorr-Bremse, Continental, and DAF Trucks. These companies lead through technological innovation, strategic partnerships, and early involvement in pilot programs, ensuring strong positions in the emerging truck platooning market. They continue to invest in R&D, autonomous driving technologies, and connected vehicle systems to meet evolving market demands and regulatory requirements. Companies in the Global Truck Platooning Market are employing several strategies to strengthen their foothold. They focus on technological innovation, including the development of V2X-enabled systems, driver-assistive solutions, and autonomous-ready platooning platforms. Strategic partnerships with logistics operators, e-commerce companies, and government agencies accelerate testing, adoption, and infrastructure readiness. Mergers and acquisitions are used to consolidate expertise, expand geographic reach, and enhance product portfolios.

Table of Contents

Chapter 1 Methodology

  • 1.1 Research approach
  • 1.2 Quality commitments
    • 1.2.1 GMI AI policy & data integrity commitment
  • 1.3 Research trail & confidence scoring
    • 1.3.1 Research trail components
    • 1.3.2 Scoring components
  • 1.4 Data collection
    • 1.4.1 Partial list of primary sources
  • 1.5 Data mining sources
    • 1.5.1 Paid sources
  • 1.6 Base estimates and calculations
    • 1.6.1 Base year calculation
  • 1.7 Forecast model
  • 1.8 Research transparency addendum

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Platooning
    • 2.2.3 Component
    • 2.2.4 Communication Technology
    • 2.2.5 Vehicle
  • 2.3 TAM analysis, 2026-2035
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising fuel cost reduction imperative
      • 3.2.1.2 Advancements in vehicle-to-vehicle (V2V) communication
      • 3.2.1.3 Growing adoption of advanced driver assistance systems (ADAS)
      • 3.2.1.4 Government support for connected and autonomous mobility
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Cybersecurity and data privacy concerns
      • 3.2.2.2 Limited infrastructure readiness in emerging economies
    • 3.2.3 Market opportunities
      • 3.2.3.1 Integration with level 2-4 autonomous trucking solutions
      • 3.2.3.2 Deployment in dedicated freight corridors
      • 3.2.3.3 Partnerships between OEMs, fleet operators, and tech providers
      • 3.2.3.4 Adoption by large logistics and e-commerce fleets
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
      • 3.4.1.1 U.S. Federal AV Policy Guidance (NHTSA Guidelines)
      • 3.4.1.2 Federal AV Legislation Bills
      • 3.4.1.3 Transport Canada Guidelines
      • 3.4.1.4 State Autonomous Vehicle Laws
    • 3.4.2 Europe
      • 3.4.2.1 UN Regulation No. 157 - Automated Lane Keeping Systems (ALKS)
      • 3.4.2.2 EU Regulation (EU)
      • 3.4.2.3 Automated Driving Act
    • 3.4.3 Asia Pacific
      • 3.4.3.1 China Autonomous Driving Road Test Regulations
      • 3.4.3.2 Japan Road Traffic Act & Road Transport Vehicle Act
      • 3.4.3.3 ASEAN Autonomous Vehicle Landscape
    • 3.4.4 Latin America
      • 3.4.4.1 Brazil Autonomous Vehicle Testing Guidelines
      • 3.4.4.2 Chile Autonomous AV Pilot Approvals
      • 3.4.4.3 RCEP Regional Tech Collaboration Framework
    • 3.4.5 Middle East & Africa
      • 3.4.5.1 UAE / Dubai Autonomous Transportation Strategy & Truck Framework
      • 3.4.5.2 South Africa Automated/Connected Vehicle Policy Drafts
  • 3.5 Porter';s analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Cost breakdown analysis
  • 3.9 Sustainability and environmental impact
    • 3.9.1 Environmental impact assessment
    • 3.9.2 Social impact & community benefits
    • 3.9.3 Governance & corporate responsibility
    • 3.9.4 Sustainable finance & investment trends
  • 3.10 Case studies
  • 3.11 Fleet economics, ROI & payback analysis
  • 3.12 Commercial readiness & deployment maturity assessment
  • 3.13 High-potential corridors & use-case prioritization
  • 3.14 Hardware architecture & upfront investment analysis
  • 3.15 Software & service monetization model
    • 3.15.1 Platooning software stack
    • 3.15.2 Pricing models used by vendors
    • 3.15.3 Subscription & recurring fee structure
    • 3.15.4 Operational service costs

Chapter 4 Competitive Landscape, 2025

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New product launches
    • 4.6.4 Expansion plans and funding

Chapter 5 Market Estimates & Forecast, By Platooning, 2022 - 2035 ($Mn)

  • 5.1 Key trends
  • 5.2 Driver-Assistive Truck Platooning (DATP)
  • 5.3 Autonomous Truck Platooning

Chapter 6 Market Estimates & Forecast, By Component, 2022 - 2035 ($Mn)

  • 6.1 Key trends
  • 6.2 Hardware
    • 6.2.1 Radar
    • 6.2.2 Lidar
    • 6.2.3 Camera
    • 6.2.4 Other Hardware
  • 6.3 Software
  • 6.4 Services

Chapter 7 Market Estimates & Forecast, By Communication Technology, 2022 - 2035 ($Mn)

  • 7.1 Key trends
  • 7.2 Vehicle-to-Vehicle (V2V)
  • 7.3 Vehicle-to-Infrastructure (V2I)
  • 7.4 Vehicle-to-Everything (V2X)

Chapter 8 Market Estimates & Forecast, By Vehicle, 2022 - 2035 ($Mn)

  • 8.1 Key trends
  • 8.2 Light Commercial Vehicle (LCV)
  • 8.3 Medium Commercial Vehicle (MCV)
  • 8.4 Heavy Commercial Vehicle (HCV)

Chapter 9 Market Estimates & Forecast, By Region, 2022 - 2035 ($Mn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Russia
    • 9.3.7 Nordics
    • 9.3.8 Benelux
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 ANZ
    • 9.4.6 Singapore
    • 9.4.7 Malaysia
    • 9.4.8 Indonesia
    • 9.4.9 Vietnam
    • 9.4.10 Thailand
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
    • 9.5.4 Colombia
  • 9.6 MEA
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE

Chapter 10 Company Profiles

  • 10.1 Global companies
    • 10.1.1 Daimler Truck
    • 10.1.2 Volvo
    • 10.1.3 Scania
    • 10.1.4 Continental
    • 10.1.5 IVECO
    • 10.1.6 MAN Truck & Bus
    • 10.1.7 DAF Trucks
    • 10.1.8 ZF Friedrichshafen
    • 10.1.9 Robert Bosch
    • 10.1.10 Knorr-Bremse
    • 10.1.11 Plus (PlusAI)
  • 10.2 Regional companies
    • 10.2.1 Kratos Defense & Security Solutions
    • 10.2.2 Waabi
    • 10.2.3 Gatik
    • 10.2.4 Bendix Commercial Vehicle Systems
    • 10.2.5 Denso
    • 10.2.6 Hyundai Motor
  • 10.3 Emerging companies
    • 10.3.1 UD Trucks
    • 10.3.2 Hino Motors
    • 10.3.3 Cohda Wireless