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市場調查報告書
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1938907

卡車編隊行駛市場 - 全球產業規模、佔有率、趨勢、機會及預測（按技術類型、基礎設施類型、自動化程度、地區和競爭格局分類，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個工作天內

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簡介目錄

全球卡車編隊行駛市場預計將從 2025 年的 11.4 億美元成長到 2031 年的 31.5 億美元，複合年成長率達到 18.46%。

卡車編隊行駛是指利用自動化和連網技術將多輛商用車輛連接成車隊，使後方車輛的加速和煞車與前方車輛同步。推動這一市場發展的關鍵因素是提高燃油效率。緊密編隊的車輛空氣阻力降低，顯著減少了柴油消耗和碳排放。此外，這項技術也為解決勞動力嚴重短缺造成的營運難題提供了方案。根據國際道路運輸聯盟（IRU）統計，到2024年，在其調查的36個國家中，將有約360萬個卡車駕駛人職位空缺，這凸顯了為提高現有勞動力生產率的自動化工具提供商業性獎勵的緊迫性。

市場概覽
預測期 2027-2031
市場規模：2025年 11.4億美元
市場規模：2031年 31.5億美元
複合年成長率：2026-2031年 18.46%
成長最快的細分市場 正面防撞
最大的市場 北美洲

然而，由於監管分散以及各司法管轄區法律法規不一致，市場成長面臨許多障礙。由於貨運路線經常跨越國際和州界，缺乏統一的法律體制來界定責任、最低跟車距離和測試通訊協定，導致合規環境複雜。這種監管上的不一致阻礙了商業性應用，因為相關人員在拓展全球業務的同時，不得不努力應對相互衝突的運輸法規。

市場促進因素

顯著降低燃油消耗和營運成本是全球卡車編隊行駛市場的主要經濟驅動力。緊密耦合的自動跟車系統利用空氣動力學陰影效應來最大限度地減少後方卡車的空氣阻力，從而降低柴油消耗並提高車隊營運商的利潤率。這種成本效益對於利潤微薄的物流公司至關重要，能夠顯著節省其最大的可變成本之一。根據美國運輸部於2024年3月發布的《智慧交通系統實施評估報告》，人工智慧驅動的自動卡車編隊行駛模型與標準長途運輸相比，平均燃油消耗降低了10%，整體貨運成本降低了26.5%。這些可衡量的經濟效益正在推動長途運輸業者快速採用該技術，以最佳化其每英里支出。

同時，車對車（V2V）通訊和自動駕駛技術的進步正推動車隊行駛從理論概念走向實際商業部署。現代系統採用低延遲資料交換和冗餘感測器套件，使卡車能夠即時響應前車的煞車操作，從而確保高速行駛的安全性。這項技術的成熟度正透過不斷增加的實際檢驗來證實。根據 Kodiak Robotics 公司於 2025 年 1 月發布的《2024 年回顧》，該公司已成功為 Martin Brauer 公司完成了 900 次自動化配送，證明了其自動駕駛系統的可靠性，這對於未來的車隊行駛配置至關重要。由於自動化有助於緩解勞動力短缺，這些創新正成為解決勞動力問題的策略要務。正如美國卡車運輸協會在 2024 年 11 月發布的報告所述，到 2024 年，美國卡車運輸業將面臨約 6 萬名司機的缺口，這凸顯了市場對先進技術在維持運輸能力方面的依賴。

市場挑戰

監管碎片化和各司法管轄區法律的不一致是全球卡車編隊行駛市場成長的重大障礙。由於商業貨運路線經常跨越州界和國際邊界，缺乏統一的法律體制造成了營運環境的差異，在責任、最小跟車距離和資料隱私等方面的關鍵規則存在巨大差異。這種缺乏協調迫使技術提供者和車隊營運商應對複雜的合規要求，增加了營運成本，使其面臨法律風險，並阻礙了可擴展的投資。因此，相關人員無法在所有運輸路線上部署標準化的自動跟車系統，導致該技術僅限於有限的試驗計畫，而無法得到廣泛的商業應用。

這種不確定的法律環境所帶來的負面影響已反映在近期的產業績效數據中，數據顯示商用車產業普遍持謹慎態度。歐洲汽車製造商協會（ACEA）預測，2024年歐盟新卡車註冊量預計將下降6.3%。該協會認為，部分原因是複雜的監管環境持續加劇了企業的不確定性。這些統計數據表明，立法的不確定性直接抑制了車隊更新所需的資本投資，減緩了車隊編組等先進自動化技術在全球物流基礎設施中的應用。

市場趨勢

專用編隊貨運走廊的建設正在重塑市場格局，其建構的隔離基礎設施避免了混合交通環境的複雜性。各國政府和私人企業聯盟正日益指定配備車路協同（V2I）感測器的專用高速公路車道，以支援高速同步車隊行駛，從而降低公共道路上常見的安全風險和監管障礙。這種以基礎設施主導的模式已透過實現樞紐間的持續自動駕駛，帶來了切實的營運改善。根據北美貨運效率委員會（NACFE）發布的《2025年自動駕駛卡車現狀：2024年回顧》（2025年1月），首條連接主要物流樞紐的全自動駕駛貨運走廊的開通，與傳統路線相比，運輸時間縮短了25%。

同時，5G賦能的蜂窩車聯網（C-V2X）通訊正在取代傳統的基於Wi-Fi的通訊協定，實現安全、協同編隊行駛所需的超低延遲。與以往的標準不同，C-V2X利用蜂巢式網路即使在非視距條件下也能保持穩定的連接，使後車能夠在毫秒內對前車的煞車事件做出反應。這項技術變革對於實現自主物流所需的「關鍵物聯網」應用至關重要。根據愛立信於2024年6月發布的《移動出行報告》，到2025年底，寬頻和關鍵物聯網連接的數量（這一特定類別涵蓋了對自動駕駛交通可靠性至關重要的高性能網路）預計將達到26億。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球卡車編隊行駛市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依技術類型（主動式車距維持定速系統、前方碰撞警報、車道偏離預警、主動煞車輔助）
    • 依基礎設施類型（V2V、V2I、GPS）
    • 依自動駕駛等級（半自動駕駛、完全自動駕駛）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章 北美卡車編隊行駛市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章 歐洲卡車編隊行駛市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區卡車編隊行駛市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲卡車編隊行駛市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章 南美洲卡車編隊行駛市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球卡車編隊行駛市場：SWOT分析

第14章 波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • 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16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
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