封面
市场调查报告书
商品编码
1938907

卡车编队行驶市场 - 全球产业规模、份额、趋势、机会及预测(按技术类型、基础设施类型、自动化程度、地区和竞争格局划分,2021-2031年)

Truck Platooning Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology Type, By Infrastructure Type, By Autonomous Level, By Region & Competition, 2021-2031F

出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3个工作天内

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简介目录

全球卡车编队行驶市场预计将从 2025 年的 11.4 亿美元成长到 2031 年的 31.5 亿美元,复合年增长率达到 18.46%。

卡车编队行驶是指利用自动化和连网技术将多辆商用车辆连接成车队,使后方车辆的加速和煞车与前方车辆同步。推动这一市场发展的关键因素是提高燃油效率。紧密编队的车辆空气阻力降低,显着减少了柴油消耗和碳排放。此外,这项技术也为解决劳动力严重短缺造成的营运难题提供了方案。根据国际道路运输联盟(IRU)统计,到2024年,在其调查的36个国家中,将有约360万个卡车驾驶人职位空缺,这凸显了为提高现有劳动力生产率的自动化工具提供商业性奖励的紧迫性。

市场概览
预测期 2027-2031
市场规模:2025年 11.4亿美元
市场规模:2031年 31.5亿美元
复合年增长率:2026-2031年 18.46%
成长最快的细分市场 正面防撞
最大的市场 北美洲

然而,由于监管分散以及各司法管辖区法律法规不一致,市场成长面临许多障碍。由于货运路线经常跨越国际和州界,缺乏统一的法律体制来界定责任、最低跟车距离和测试通讯协定,导致合规环境复杂。这种监管上的不一致阻碍了商业性应用,因为相关人员在拓展全球业务的同时,不得不努力应对相互衝突的运输法规。

市场驱动因素

显着降低燃油消耗和营运成本是全球卡车编队行驶市场的主要经济驱动力。紧密耦合的自动跟车系统利用空气动力学阴影效应来最大限度地减少后方卡车的空气阻力,从而降低柴油消耗并提高车队营运商的利润率。这种成本效益对于利润微薄的物流公司至关重要,能够显着节省其最大的可变成本之一。根据美国运输部于2024年3月发布的《智慧交通系统实施评估报告》,人工智慧驱动的自动卡车编队行驶模型与标准长途运输相比,平均燃油消耗降低了10%,整体货运成本降低了26.5%。这些可衡量的经济效益正在推动长途运输业者快速采用该技术,以优化其每英里支出。

同时,车对车(V2V)通讯和自动驾驶技术的进步正推动车队行驶从理论概念走向实际商业部署。现代系统采用低延迟资料交换和冗余感测器套件,使卡车能够即时响应前车的煞车操作,从而确保高速行驶的安全性。这项技术的成熟度正透过不断增加的实际检验来证实。根据 Kodiak Robotics 公司于 2025 年 1 月发布的《2024 年回顾》,该公司已成功为 Martin Brauer 公司完成了 900 次自动化配送,证明了其自动驾驶系统的可靠性,这对于未来的车队行驶配置至关重要。由于自动化有助于缓解劳动力短缺,这些创新正成为解决劳动力问题的策略要务。正如美国卡车运输协会在 2024 年 11 月发布的报告所述,到 2024 年,美国卡车运输业将面临约 6 万名司机的缺口,这凸显了市场对先进技术在维持运输能力方面的依赖。

市场挑战

监管碎片化和各司法管辖区法律的不一致是全球卡车编队行驶市场成长的重大障碍。由于商业货运路线经常跨越州界和国际边界,缺乏统一的法律体制造成了营运环境的差异,在责任、最小跟车距离和资料隐私等方面的关键规则存在巨大差异。这种缺乏协调迫使技术提供者和车队营运商应对复杂的合规要求,增加了营运成本,使其面临法律风险,并阻碍了可扩展的投资。因此,相关人员无法在所有运输路线上部署标准化的自动跟车系统,导致该技术仅限于有限的试验计画,而无法得到广泛的商业应用。

这种不确定的法律环境所带来的负面影响已反映在近期的产业绩效数据中,数据显示商用车产业普遍持谨慎态度。欧洲汽车製造商协会(ACEA)预测,2024年欧盟新卡车註册量预计将下降6.3%。该协会认为,部分原因是复杂的监管环境持续加剧了企业的不确定性。这些统计数据表明,立法的不确定性直接抑制了车队更新所需的资本投资,减缓了车队编组等先进自动化技术在全球物流基础设施中的应用。

市场趋势

专用编队货运走廊的建设正在重塑市场格局,其建构的隔离基础设施避免了混合交通环境的复杂性。各国政府和私人企业联盟正日益指定配备车路协同(V2I)感测器的专用高速公路车道,以支援高速同步车队行驶,从而降低公共道路上常见的安全风险和监管障碍。这种以基础设施主导的模式已透过实现枢纽间的持续自动驾驶,带来了切实的营运改善。根据北美货运效率委员会(NACFE)发布的《2025年自动驾驶卡车现状:2024年回顾》(2025年1月),首条连接主要物流枢纽的全自动驾驶货运走廊的开通,与传统路线相比,运输时间缩短了25%。

同时,5G赋能的蜂窝车联网(C-V2X)通讯正在取代传统的基于Wi-Fi的通讯协定,实现安全、协同编队行驶所需的超低延迟。与以往的标准不同,C-V2X利用蜂巢式网路即使在非视距条件下也能保持稳定的连接,使后车能够在毫秒内对前车的煞车事件做出反应。这项技术变革对于实现自主物流所需的「关键物联网」应用至关重要。根据爱立信于2024年6月发布的《移动出行报告》,到2025年底,宽频和关键物联网连接的数量(这一特定类别涵盖了对自动驾驶交通可靠性至关重要的高性能网路)预计将达到26亿。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章:客户评价

第五章 全球卡车编队行驶市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 依技术类型(主动式车距维持定速系统、前方碰撞警报、车道偏离预警、主动煞车辅助)
    • 依基础设施类型(V2V、V2I、GPS)
    • 依自动驾驶等级(半自动驾驶、完全自动驾驶)
    • 按地区
    • 按公司(2025 年)
  • 市场地图

第六章 北美卡车编队行驶市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲:国家分析
    • 我们
    • 加拿大
    • 墨西哥

第七章 欧洲卡车编队行驶市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲:国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

8. 亚太地区卡车编队行驶市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区:国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

9. 中东和非洲卡车编队行驶市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲:国家分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章 南美洲卡车编队行驶市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲:国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 司机
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章 全球卡车编队行驶市场:SWOT分析

第十四章 波特五力分析

  • 产业竞争
  • 新进入者的可能性
  • 供应商电力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • Daimler Truck AG
  • AB Volvo
  • Paccar Inc
  • Volkswagen Group
  • Hyundai Motor Company
  • Iveco Group
  • ZF Friedrichshafen AG
  • Continental AG
  • Robert Bosch GmbH
  • Knorr-Bremse AG
  • NXP Semiconductors NV

第十六章 策略建议

第十七章:关于研究公司及免责声明

简介目录
Product Code: 16365

The Global Truck Platooning Market is projected to expand from USD 1.14 Billion in 2025 to USD 3.15 Billion by 2031, achieving a compound annual growth rate (CAGR) of 18.46%. Truck platooning involves connecting multiple commercial vehicles into a convoy through automated systems and connectivity technology, which synchronizes the acceleration and braking of follower trucks with the lead vehicle. The primary driver for this market is the necessity for fuel efficiency, as reduced aerodynamic drag in tight formations significantly decreases diesel consumption and carbon emissions. Furthermore, the technology offers a solution to operational limitations caused by severe workforce shortages. According to the International Road Transport Union, approximately 3.6 million truck driver positions were unfilled across 36 surveyed countries in 2024, underscoring the urgent commercial incentive for automation tools that enhance existing labor productivity.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 1.14 Billion
Market Size 2031USD 3.15 Billion
CAGR 2026-203118.46%
Fastest Growing SegmentForward Collision Avoidance
Largest MarketNorth America

However, market growth faces a major obstacle due to regulatory fragmentation and inconsistent legislation across various jurisdictions. Because freight routes frequently traverse international or state borders, the lack of a standardized legal framework addressing liability, minimum following distances, and testing protocols creates a complicated compliance landscape. This legislative disparity delays widespread commercial adoption, as industry stakeholders struggle to navigate conflicting traffic laws while attempting to scale operations globally.

Market Driver

The significant reduction in fuel consumption and operational costs serves as the primary economic catalyst for the global truck platooning market. By tethering vehicles in close proximity, platooning systems leverage aerodynamic shadowing to minimize air drag for trailing trucks, resulting in lower diesel usage and improved profit margins for fleet operators. This cost efficiency is vital for logistics companies operating on thin margins, enabling substantial savings on their largest variable expense. According to the U.S. Department of Transportation's 'ITS Deployment Evaluation' in March 2024, an AI-powered automated truck platooning model demonstrated the ability to reduce average fuel consumption by 10% and overall freight delivery costs by 26.5% compared to standard line-haul delivery. Such measurable financial benefits encourage rapid adoption among long-haul carriers aiming to optimize expenditure per mile.

Concurrently, advancements in vehicle-to-vehicle (V2V) communication and autonomous technologies are transitioning platooning from theoretical concepts to viable commercial deployments. Modern systems now incorporate low-latency data exchange and redundant sensor suites, enabling trucks to react instantaneously to the lead vehicle's braking, thereby ensuring safety at high speeds. This technological maturity is evidenced by increased real-world validation; according to Kodiak Robotics' '2024 Recap' published in January 2025, the company successfully completed 900 autonomous deliveries for Martin Brower, validating the reliability of self-driving systems essential for future platooning configurations. These innovations are becoming a strategic necessity to offset labor challenges, as automation helps mitigate workforce constraints. As reported by the American Trucking Associations in November 2024, the U.S. sector faced a shortage of approximately 60,000 drivers in 2024, highlighting the market's reliance on advanced technology to maintain capacity.

Market Challenge

Regulatory fragmentation and legislative inconsistency across different jurisdictions constitute a substantial barrier hindering the growth of the Global Truck Platooning Market. Since commercial freight corridors routinely cross state and international borders, the absence of a unified legal framework creates a disjointed operating environment where essential rules regarding liability, minimum following distances, and data privacy vary significantly. This lack of harmonization compels technology providers and fleet operators to navigate a complex patchwork of compliance requirements, increasing operational costs and introducing legal risks that deter scalable investment. Consequently, stakeholders are unable to deploy standardized platooning systems along entire transport routes, effectively confining the technology to limited pilot programs rather than widespread commercial use.

The negative impact of this uncertain legal environment is reflected in recent industry performance data, which indicates broader hesitation within the commercial vehicle sector. According to the European Automobile Manufacturers' Association, new truck registrations in the European Union declined by 6.3 percent in 2024, a contraction the organization attributed in part to a complex regulatory landscape that continues to fuel business uncertainty. This statistical evidence underscores how legislative unpredictability directly stifles the capital investment required for fleet renewal, thereby delaying the integration of advanced automation technologies like platooning into the global logistics infrastructure.

Market Trends

The establishment of dedicated platooning freight corridors is reshaping the market by creating segregated infrastructure that bypasses the complexities of mixed-traffic environments. Governments and private consortiums are increasingly designating specific highway lanes equipped with Vehicle-to-Infrastructure (V2I) sensors to support high-speed, synchronized convoys, thereby mitigating the safety risks and regulatory hurdles often associated with public roads. This infrastructure-led approach is already yielding tangible operational improvements by allowing continuous autonomous operation between hubs. According to the North American Council for Freight Efficiency in 'The State of Autonomous Trucking in 2025: A Recap of 2024' (January 2025), the launch of the inaugural fully autonomous freight corridor connecting major distribution hubs resulted in a 25% reduction in transit times compared to conventional routes.

Simultaneously, the integration of 5G-enabled Cellular V2X (C-V2X) communication is replacing legacy Wi-Fi-based protocols, providing the ultra-low latency required for safe, tight-formation platooning. Unlike previous standards, C-V2X leverages cellular networks to maintain robust connectivity even in non-line-of-sight conditions, allowing following trucks to react to lead vehicle braking events within milliseconds. This technological shift is essential for enabling the "Critical IoT" applications that autonomous logistics demand. According to the Ericsson Mobility Report from June 2024, the number of Broadband and Critical IoT connections-the specific category encompassing the high-performance networks essential for autonomous transport reliability-is expected to reach 2.6 billion by the end of 2025.

Key Market Players

  • Daimler Truck AG
  • AB Volvo
  • Paccar Inc
  • Volkswagen Group
  • Hyundai Motor Company
  • Iveco Group
  • ZF Friedrichshafen AG
  • Continental AG
  • Robert Bosch GmbH
  • Knorr-Bremse AG
  • NXP Semiconductors N.V.

Report Scope

In this report, the Global Truck Platooning Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Truck Platooning Market, By Technology Type

  • Adaptive Cruise Control
  • Forward Collision Avoidance
  • Lane Departure Warning
  • Active Brake Assist

Truck Platooning Market, By Infrastructure Type

  • V2V
  • V2I
  • GPS

Truck Platooning Market, By Autonomous Level

  • Semi-autonomous
  • Full-autonomous

Truck Platooning Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Truck Platooning Market.

Available Customizations:

Global Truck Platooning Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Truck Platooning Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Technology Type (Adaptive Cruise Control, Forward Collision Avoidance, Lane Departure Warning, Active Brake Assist)
    • 5.2.2. By Infrastructure Type (V2V, V2I, GPS)
    • 5.2.3. By Autonomous Level (Semi-autonomous, Full-autonomous)
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Truck Platooning Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Technology Type
    • 6.2.2. By Infrastructure Type
    • 6.2.3. By Autonomous Level
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Truck Platooning Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Technology Type
        • 6.3.1.2.2. By Infrastructure Type
        • 6.3.1.2.3. By Autonomous Level
    • 6.3.2. Canada Truck Platooning Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Technology Type
        • 6.3.2.2.2. By Infrastructure Type
        • 6.3.2.2.3. By Autonomous Level
    • 6.3.3. Mexico Truck Platooning Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Technology Type
        • 6.3.3.2.2. By Infrastructure Type
        • 6.3.3.2.3. By Autonomous Level

7. Europe Truck Platooning Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Technology Type
    • 7.2.2. By Infrastructure Type
    • 7.2.3. By Autonomous Level
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Truck Platooning Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Technology Type
        • 7.3.1.2.2. By Infrastructure Type
        • 7.3.1.2.3. By Autonomous Level
    • 7.3.2. France Truck Platooning Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Technology Type
        • 7.3.2.2.2. By Infrastructure Type
        • 7.3.2.2.3. By Autonomous Level
    • 7.3.3. United Kingdom Truck Platooning Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Technology Type
        • 7.3.3.2.2. By Infrastructure Type
        • 7.3.3.2.3. By Autonomous Level
    • 7.3.4. Italy Truck Platooning Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Technology Type
        • 7.3.4.2.2. By Infrastructure Type
        • 7.3.4.2.3. By Autonomous Level
    • 7.3.5. Spain Truck Platooning Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Technology Type
        • 7.3.5.2.2. By Infrastructure Type
        • 7.3.5.2.3. By Autonomous Level

8. Asia Pacific Truck Platooning Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Technology Type
    • 8.2.2. By Infrastructure Type
    • 8.2.3. By Autonomous Level
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Truck Platooning Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Technology Type
        • 8.3.1.2.2. By Infrastructure Type
        • 8.3.1.2.3. By Autonomous Level
    • 8.3.2. India Truck Platooning Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Technology Type
        • 8.3.2.2.2. By Infrastructure Type
        • 8.3.2.2.3. By Autonomous Level
    • 8.3.3. Japan Truck Platooning Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Technology Type
        • 8.3.3.2.2. By Infrastructure Type
        • 8.3.3.2.3. By Autonomous Level
    • 8.3.4. South Korea Truck Platooning Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Technology Type
        • 8.3.4.2.2. By Infrastructure Type
        • 8.3.4.2.3. By Autonomous Level
    • 8.3.5. Australia Truck Platooning Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Technology Type
        • 8.3.5.2.2. By Infrastructure Type
        • 8.3.5.2.3. By Autonomous Level

9. Middle East & Africa Truck Platooning Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Technology Type
    • 9.2.2. By Infrastructure Type
    • 9.2.3. By Autonomous Level
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Truck Platooning Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Technology Type
        • 9.3.1.2.2. By Infrastructure Type
        • 9.3.1.2.3. By Autonomous Level
    • 9.3.2. UAE Truck Platooning Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Technology Type
        • 9.3.2.2.2. By Infrastructure Type
        • 9.3.2.2.3. By Autonomous Level
    • 9.3.3. South Africa Truck Platooning Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Technology Type
        • 9.3.3.2.2. By Infrastructure Type
        • 9.3.3.2.3. By Autonomous Level

10. South America Truck Platooning Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Technology Type
    • 10.2.2. By Infrastructure Type
    • 10.2.3. By Autonomous Level
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Truck Platooning Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Technology Type
        • 10.3.1.2.2. By Infrastructure Type
        • 10.3.1.2.3. By Autonomous Level
    • 10.3.2. Colombia Truck Platooning Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Technology Type
        • 10.3.2.2.2. By Infrastructure Type
        • 10.3.2.2.3. By Autonomous Level
    • 10.3.3. Argentina Truck Platooning Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Technology Type
        • 10.3.3.2.2. By Infrastructure Type
        • 10.3.3.2.3. By Autonomous Level

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Truck Platooning Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Daimler Truck AG
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. AB Volvo
  • 15.3. Paccar Inc
  • 15.4. Volkswagen Group
  • 15.5. Hyundai Motor Company
  • 15.6. Iveco Group
  • 15.7. ZF Friedrichshafen AG
  • 15.8. Continental AG
  • 15.9. Robert Bosch GmbH
  • 15.10. Knorr-Bremse AG
  • 15.11. NXP Semiconductors N.V.

16. Strategic Recommendations

17. About Us & Disclaimer