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市場調查報告書
商品編碼
1625171

至 2030 年卡車編隊市場預測：按車輛類型、編隊配置、自動化等級、通訊模型、技術、應用、最終用戶和地區進行全球分析

Truck Platooning Market Forecasts to 2030 - Global Analysis By Vehicle Type (Light-duty Trucks, Heavy-duty Trucks and Electric Trucks), Platoon Configuration, Automation Level, Communication Model, Technology, Application, End User 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，2024 年全球卡車隊列市場規模為 13.8 億美元，預計到 2030 年將達到 32.5 億美元，預測期內複合年成長率為 11.5%。

卡車編隊是一種運輸策略，透過電子方式將多輛卡車連接在一起，並以緊密車隊的方式駕駛它們，以減少空氣阻力並提高燃油效率。領先的卡車設定速度，而後面的卡車則自動控制，保持安全距離並透過無線電通訊同步它們的速度。該技術透過提高道路安全性、減少消費量和最大限度地減少擁塞來改善交通流量。卡車編隊通常在配備 ADAS（高級駕駛員輔助系統）的高速公路上進行，被視為自動駕駛和物流領域的一項有前景的發展。

據田納西州交通部 (TDOT) 稱，隊列行駛可減少緊密連接的卡車之間的空氣阻力，從而將 18 輪汽車的燃油成本降低 5% 至 10%。

人們對自動駕駛汽車整合的興趣日益濃厚

隨著領先公司擴大投資其車隊的自動駕駛技術，編隊行駛提供了一種增強這些系統的有效方法，以減少燃油消耗、提高安全性並最佳化路線。自主車隊可以無縫整合隊列技術，使卡車能夠以最少的人為干預以緊湊的隊列行駛。這種整合不僅提高了業務效率，而且透過展示簡化物流、降低成本和增強整個行業的交付能力的潛力，加速了卡車隊列的採用。

技術限制

卡車隊列行駛的技術限制源自於對先進自動駕駛系統、車輛間通訊和即時資料處理的需求。目前的系統可能會難以應對複雜的路況、惡劣的天氣或意外的交通情況，從而限制了其有效性。由於物流公司和監管機構優先考慮安全性和可靠性，這些技術差距阻礙了採用。如果沒有可靠且強大的系統，軌道編隊將無法充分發揮其潛力，阻礙市場成長並推遲大規模實施。

增加道路和通訊基礎設施投資

基礎設施的增強，例如車隊卡車專用車道、改善的道路條件以及安裝先進的感測器和通訊網路，將確保營運更加順暢。對 V2V 和 V2I通訊系統的投資有助於即時協調並最佳化隊列效率。這些升級將支援自動駕駛技術的發展、提高安全性並減少擁塞。隨著政府和私營部門優先考慮這些進步，將為卡車隊列的廣泛採用創造有利的環境，從而加速市場擴張。

昂貴的技術和基礎設施升級

卡車編隊技術和基礎設施升級成本高昂，是因為需要先進的自動駕駛系統、感測器、車對車通訊技術和道路基礎設施改造。這些系統需要在研發、製造和部署方面進行大量投資。此外，升級道路和通訊網路以支援隊列行駛的成本高昂。因此，缺乏負擔得起的解決方案和較長的投資回收期阻礙了隊列行駛的廣泛採用。

COVID-19 的影響

COVID-19 的爆發對卡車隊列市場產生了各種影響。一方面，全球供應鏈和運輸的中斷導致新技術採用的延遲。同時，對高效物流和非接觸式操作不斷成長的需求加速了人們對自動駕駛和隊列行駛解決方案的興趣。此外，疫情凸顯了對更安全、更有效率的運輸系統的需求，並刺激了對卡車隊列技術和基礎設施的長期投資。

預計區域和城市交通部門在預測期內將是最大的

預計區域和城市交通部門將在整個預測期內獲得最大的市場佔有率。在區域和城市交通中，卡車隊列可以讓卡車協調速度並靠得更近，從而增強交通流量、減少擁塞並提高燃油效率。它還透過最大限度地減少人為錯誤並實現卡車之間的即時通訊來提高安全性。隨著城市推動更環保、更有效率的運輸系統，卡車隊列成為城市物流和區域貨運的一個有吸引力的解決方案。

預計物流公司領域在預測期內的複合年成長率最高。

預計物流公司領域在預測期內的複合年成長率最高。對於物流公司來說，卡車編隊透過降低油耗、加強路線規劃和最佳化交貨時間表來提高效率。卡車緊密行駛可減少空氣阻力，從而顯著節省成本。物流公司受惠於更快的交貨時間、更低的營運成本和更低的排放，使卡車隊列成為實現供應鏈和貨運現代化的寶貴解決方案。

比最大的地區

由於對燃油效率的需求增加、運輸成本上升以及政府推動智慧物流的措施等因素，預計亞太地區將在預測期內創下最大的市場佔有率。沃爾沃集團、戴姆勒股份公司和豐田等大公司處於該地區技術進步和自動駕駛汽車開發的前沿。減少排放氣體和提高道路安全的需求進一步支持了卡車隊列的採用。由於基礎設施發展的進步和有利的法規，亞太地區卡車隊列市場預計在未來幾年將顯著成長。

複合年成長率最高的地區：

由於自動駕駛技術的進步，預計北美在預測期內將出現最高的複合年成長率。沃爾沃、戴姆勒卡車和 Peloton Technology 等主要企業正在推動創新，並與行業領導者合作，以增強車輛​​間通訊和安全系統。隨著基礎設施的改善和監管變得更加有利，北美卡車隊列市場預計將顯著成長，並改變該地區的物流和運輸。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 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
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 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
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球卡車隊列市場：依車型分類

  • 小卡車
  • 重型卡車
  • 電動卡車

第6章全球卡車隊列市場：按隊列配置

  • 單排
  • 多個排

第7章全球卡車煞車市場：依自動化等級分類

  • 駕駛員援助
  • 部分自動化
  • 有條件自動化
  • 全自動
  • 其他自動化級別

第8章全球卡車編隊市場：依通訊模式分類

  • 車對車通訊(V2V)
  • 車輛到基礎設施 (V2I)通訊
  • 基於蜂窩的通訊
  • 專用短程通訊(DSRC)
  • 其他通訊模型

第9章全球卡車煞車市場：依技術分類

  • 自動駕駛卡車列隊行駛
  • 半自動卡車編隊行駛
  • 手動卡車編隊行駛

第10章全球卡車煞車市場：依應用分類

  • 貨物運輸
  • 物流與供應鏈
  • 遠距
  • 區域/城市交通
  • 近距離/本地配送
  • 其他用途

第11章全球卡車編隊市場：依最終用戶分類

  • 物流公司
  • 車隊營運商
  • 零售商
  • 政府機構
  • 運輸
  • 其他最終用戶

第12章全球卡車煞車市場：按地區

  • 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/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

第13章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第14章 公司概況

  • Continental AG
  • ZF Friedrichshafen AG
  • Denso Corporation
  • Aisin Seiki Corporation
  • Toyota Industries Corporation
  • Krone Group
  • Uber Freight
  • Bosch Mobility Solutions
  • Tesla Inc.
  • Daimler AG
  • Volvo Group
  • Pony.ai Inc.
  • MAN Truck & Bus AG
  • Peloton Technology
  • Navistar International Corporation
  • Aurora Innovation
  • Embark Trucks Inc.
  • TuSimple
  • Scania AB
  • Kratos Defense & Security Solutions
Product Code: SMRC28124

According to Stratistics MRC, the Global Truck Platooning Market is accounted for $1.38 billion in 2024 and is expected to reach $3.25 billion by 2030 growing at a CAGR of 11.5% during the forecast period. Truck platooning is a transportation strategy where multiple trucks are electronically linked to travel in a close formation, reducing air resistance and improving fuel efficiency. The lead truck sets the pace, while the following trucks are autonomously controlled, maintaining safe distances and synchronizing speeds through wireless communication. This technique enhances road safety, reduces fuel consumption, and improves traffic flow by minimizing congestion. Truck platooning is typically implemented on highways with advanced driver-assistance systems and is seen as a promising development in autonomous driving and logistics.

According to Tennessee Department of Transportation (TDOT), platooning can cut fuel costs by 5-10% for 18-wheelers through reduced air resistance between closely connected trucks.

Market Dynamics:

Driver:

Growing interest in autonomous fleet integration

With rising investments by major companies in autonomous technologies for their fleets, platooning offers an efficient way to enhance these systems, reducing fuel consumption, improving safety, and optimizing routes. Autonomous fleets can seamlessly integrate platooning technologies, allowing trucks to travel in tight formations with minimal human intervention. This integration not only improves operational efficiency but also accelerates the adoption of truck platooning by demonstrating its potential to streamline logistics, reduce costs, and enhance delivery capabilities across industries.

Restraint:

Technological limitations

Technological limitations in truck platooning stem from the need for advanced autonomous driving systems, vehicle-to-vehicle communication, and real-time data processing. Current systems may struggle in complex road conditions, poor weather, or unexpected traffic scenarios, limiting their effectiveness. These technological gaps hinder widespread adoption, as logistics companies and regulators prioritize safety and reliability. Without reliable, robust systems, truck platooning cannot reach its full potential, impeding market growth and delaying large-scale implementation.

Opportunity:

Rising investments in road & communication infrastructure

Enhanced infrastructure, such as dedicated lanes for platooning trucks, improved road conditions, and the installation of advanced sensors and communication networks, ensures smoother operations. Investments in V2V and V2I communication systems facilitate real-time coordination, optimizing platooning efficiency. These upgrades support the development of autonomous driving technology, improve safety, and reduce congestion. As governments and private sectors prioritize these advancements, they create an environment conducive to the widespread adoption of truck platooning, accelerating market expansion.

Threat:

Expensive technology and infrastructure upgrades

The high cost of technology and infrastructure upgrades in truck platooning arises from the need for advanced autonomous driving systems, sensors, vehicle-to-vehicle communication technology, and road infrastructure modifications. These systems require significant investment in R&D, manufacturing, and deployment. Additionally, upgrading roads and communication networks to support platooning is costly. Therefore, the lack of affordable solutions and the long return on investment period hinder its widespread implementation.

Covid-19 Impact

The covid-19 pandemic had a mixed impact on the truck platooning market. On one hand, disruptions in global supply chains and transportation led to delays in the adoption of new technologies. On the other hand, the increased demand for efficient logistics and contactless operations accelerated interest in autonomous driving and platooning solutions. Additionally, the pandemic highlighted the need for safer, more efficient transportation systems, driving long-term investments in truck platooning technologies and infrastructure.

The regional & urban transportation segment is expected to be the largest during the forecast period

The regional & urban transportation segment is predicted to secure the largest market share throughout the forecast period. In regional and urban transportation, truck platooning enhances traffic flow, reduces congestion, and boosts fuel efficiency by allowing trucks to travel closely together with coordinated speeds. It also improves safety by minimizing human error and enabling real-time communication between trucks. As cities push for greener and more efficient transportation systems, truck platooning becomes an attractive solution for urban logistics and regional freight movement.

The logistics companies segment is expected to have the highest CAGR during the forecast period

The logistics companies segment is anticipated to witness the highest CAGR during the forecast period. In logistics companies, truck platooning improves efficiency by reducing fuel consumption, enhancing route planning, and optimizing delivery schedules. By allowing trucks to travel closely together, it reduces aerodynamic drag, leading to significant cost savings. Logistics companies benefit from faster delivery times, lower operational costs, and reduced emissions, making truck platooning a valuable solution for modernizing supply chain and freight transportation.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period driven by factors such as increasing demand for fuel efficiency, rising transportation costs, and government initiatives promoting smart logistics. Key players like Volvo Group, Daimler AG, and Toyota are spearheading technological advancements and autonomous vehicle development in the region. The adoption of truck platooning is further supported by the need to reduce emissions and improve road safety. With growing infrastructure development and favorable regulations, the Asia Pacific truck platooning market is expected to experience significant growth in the coming years.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period due to advancements in autonomous driving technology. Key players such as Volvo, Daimler Trucks, and Peloton Technology are driving innovation, collaborating with industry leaders to enhance vehicle-to-vehicle communication and safety systems. As infrastructure improves and regulations become more favourable, North America's truck platooning market is expected to grow significantly, transforming logistics and transportation in the region.

Key players in the market

Some of the key players profiled in the Truck Platooning Market include Continental AG, ZF Friedrichshafen AG, Denso Corporation, Aisin Seiki Corporation, Toyota Industries Corporation, Krone Group, Uber Freight, Bosch Mobility Solutions, Tesla Inc., Daimler AG, Volvo Group, Pony.ai Inc., MAN Truck & Bus AG, Peloton Technology, Navistar International Corporation, Aurora Innovation, Embark Trucks Inc., TuSimple, Scania AB and Kratos Defense & Security Solutions.

Key Developments:

In March 2024, Kratos Defense announced plans to deploy its self-driving Class 8 trucks in a Leader-Follower Platoon configuration. The platoons will operate along a major freight corridor between Ohio and Indiana, aiming to address driver shortages by pairing a human-driven truck with a self-driving follower.

In November 2023, Pony.ai received permission to conduct Level 4 autonomous truck platooning tests in Guangzhou, China. This initiative involves autonomous trucks operating in a "1+N" formation, where one lead truck guides multiple follower trucks. The tests aim to enhance operational efficiency, reduce carbon emissions, and improve road safety.

Vehicle Types Covered:

  • Light-duty Trucks
  • Heavy-duty Trucks
  • Electric Trucks

Platoon Configurations Covered:

  • Single Platoon
  • Multiple Platoon

Automation Levels Covered:

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

Communication Models Covered:

  • Vehicle-to-Vehicle (V2V) Communication
  • Vehicle-to-Infrastructure (V2I) Communication
  • Cellular-Based Communication
  • Dedicated Short Range Communication (DSRC)
  • Other Communication Models

Technologies Covered:

  • Autonomous Truck Platooning
  • Semi-autonomous Truck Platooning
  • Manual Truck Platooning

Applications Covered:

  • Freight Transportation
  • Logistics & Supply Chain
  • Long-haul Transportation
  • Regional & Urban Transportation
  • Short-distance & Local Deliveries
  • Other Applications

End Users Covered:

  • Logistics Companies
  • Fleet Operators
  • Retailers
  • Government Agencies
  • Transportation Providers
  • Other End Users

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 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Truck Platooning Market, By Vehicle Type

  • 5.1 Introduction
  • 5.2 Light-duty Trucks
  • 5.3 Heavy-duty Trucks
  • 5.4 Electric Trucks

6 Global Truck Platooning Market, By Platoon Configuration

  • 6.1 Introduction
  • 6.2 Single Platoon
  • 6.3 Multiple Platoon

7 Global Truck Platooning Market, By Automation Level

  • 7.1 Introduction
  • 7.2 Driver Assistance
  • 7.3 Partial Automation
  • 7.4 Conditional Automation
  • 7.5 Full Automation
  • 7.6 Other Automation Levels

8 Global Truck Platooning Market, By Communication Model

  • 8.1 Introduction
  • 8.2 Vehicle-to-Vehicle (V2V) Communication
  • 8.3 Vehicle-to-Infrastructure (V2I) Communication
  • 8.4 Cellular-Based Communication
  • 8.5 Dedicated Short Range Communication (DSRC)
  • 8.6 Other Communication Models

9 Global Truck Platooning Market, By Technology

  • 9.1 Introduction
  • 9.2 Autonomous Truck Platooning
  • 9.3 Semi-autonomous Truck Platooning
  • 9.4 Manual Truck Platooning

10 Global Truck Platooning Market, By Application

  • 10.1 Introduction
  • 10.2 Freight Transportation
  • 10.3 Logistics & Supply Chain
  • 10.4 Long-haul Transportation
  • 10.5 Regional & Urban Transportation
  • 10.6 Short-distance & Local Deliveries
  • 10.7 Other Applications

11 Global Truck Platooning Market, By End User

  • 11.1 Introduction
  • 11.2 Logistics Companies
  • 11.3 Fleet Operators
  • 11.4 Retailers
  • 11.5 Government Agencies
  • 11.6 Transportation Providers
  • 11.7 Other End Users

12 Global Truck Platooning Market, By Geography

  • 12.1 Introduction
  • 12.2 North America
    • 12.2.1 US
    • 12.2.2 Canada
    • 12.2.3 Mexico
  • 12.3 Europe
    • 12.3.1 Germany
    • 12.3.2 UK
    • 12.3.3 Italy
    • 12.3.4 France
    • 12.3.5 Spain
    • 12.3.6 Rest of Europe
  • 12.4 Asia Pacific
    • 12.4.1 Japan
    • 12.4.2 China
    • 12.4.3 India
    • 12.4.4 Australia
    • 12.4.5 New Zealand
    • 12.4.6 South Korea
    • 12.4.7 Rest of Asia Pacific
  • 12.5 South America
    • 12.5.1 Argentina
    • 12.5.2 Brazil
    • 12.5.3 Chile
    • 12.5.4 Rest of South America
  • 12.6 Middle East & Africa
    • 12.6.1 Saudi Arabia
    • 12.6.2 UAE
    • 12.6.3 Qatar
    • 12.6.4 South Africa
    • 12.6.5 Rest of Middle East & Africa

13 Key Developments

  • 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 13.2 Acquisitions & Mergers
  • 13.3 New Product Launch
  • 13.4 Expansions
  • 13.5 Other Key Strategies

14 Company Profiling

  • 14.1 Continental AG
  • 14.2 ZF Friedrichshafen AG
  • 14.3 Denso Corporation
  • 14.4 Aisin Seiki Corporation
  • 14.5 Toyota Industries Corporation
  • 14.6 Krone Group
  • 14.7 Uber Freight
  • 14.8 Bosch Mobility Solutions
  • 14.9 Tesla Inc.
  • 14.10 Daimler AG
  • 14.11 Volvo Group
  • 14.12 Pony.ai Inc.
  • 14.13 MAN Truck & Bus AG
  • 14.14 Peloton Technology
  • 14.15 Navistar International Corporation
  • 14.16 Aurora Innovation
  • 14.17 Embark Trucks Inc.
  • 14.18 TuSimple
  • 14.19 Scania AB
  • 14.20 Kratos Defense & Security Solutions

List of Tables

  • Table 1 Global Truck Platooning Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Truck Platooning Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 3 Global Truck Platooning Market Outlook, By Light-duty Trucks (2022-2030) ($MN)
  • Table 4 Global Truck Platooning Market Outlook, By Heavy-duty Trucks (2022-2030) ($MN)
  • Table 5 Global Truck Platooning Market Outlook, By Electric Trucks (2022-2030) ($MN)
  • Table 6 Global Truck Platooning Market Outlook, By Platoon Configuration (2022-2030) ($MN)
  • Table 7 Global Truck Platooning Market Outlook, By Single Platoon (2022-2030) ($MN)
  • Table 8 Global Truck Platooning Market Outlook, By Multiple Platoon (2022-2030) ($MN)
  • Table 9 Global Truck Platooning Market Outlook, By Automation Level (2022-2030) ($MN)
  • Table 10 Global Truck Platooning Market Outlook, By Driver Assistance (2022-2030) ($MN)
  • Table 11 Global Truck Platooning Market Outlook, By Partial Automation (2022-2030) ($MN)
  • Table 12 Global Truck Platooning Market Outlook, By Conditional Automation (2022-2030) ($MN)
  • Table 13 Global Truck Platooning Market Outlook, By Full Automation (2022-2030) ($MN)
  • Table 14 Global Truck Platooning Market Outlook, By Other Automation Levels (2022-2030) ($MN)
  • Table 15 Global Truck Platooning Market Outlook, By Communication Model (2022-2030) ($MN)
  • Table 16 Global Truck Platooning Market Outlook, By Vehicle-to-Vehicle (V2V) Communication (2022-2030) ($MN)
  • Table 17 Global Truck Platooning Market Outlook, By Vehicle-to-Infrastructure (V2I) Communication (2022-2030) ($MN)
  • Table 18 Global Truck Platooning Market Outlook, By Cellular-Based Communication (2022-2030) ($MN)
  • Table 19 Global Truck Platooning Market Outlook, By Dedicated Short Range Communication (DSRC) (2022-2030) ($MN)
  • Table 20 Global Truck Platooning Market Outlook, By Other Communication Models (2022-2030) ($MN)
  • Table 21 Global Truck Platooning Market Outlook, By Technology (2022-2030) ($MN)
  • Table 22 Global Truck Platooning Market Outlook, By Autonomous Truck Platooning (2022-2030) ($MN)
  • Table 23 Global Truck Platooning Market Outlook, By Semi-autonomous Truck Platooning (2022-2030) ($MN)
  • Table 24 Global Truck Platooning Market Outlook, By Manual Truck Platooning (2022-2030) ($MN)
  • Table 25 Global Truck Platooning Market Outlook, By Application (2022-2030) ($MN)
  • Table 26 Global Truck Platooning Market Outlook, By Freight Transportation (2022-2030) ($MN)
  • Table 27 Global Truck Platooning Market Outlook, By Logistics & Supply Chain (2022-2030) ($MN)
  • Table 28 Global Truck Platooning Market Outlook, By Long-haul Transportation (2022-2030) ($MN)
  • Table 29 Global Truck Platooning Market Outlook, By Regional & Urban Transportation (2022-2030) ($MN)
  • Table 30 Global Truck Platooning Market Outlook, By Short-distance & Local Deliveries (2022-2030) ($MN)
  • Table 31 Global Truck Platooning Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 32 Global Truck Platooning Market Outlook, By End User (2022-2030) ($MN)
  • Table 33 Global Truck Platooning Market Outlook, By Logistics Companies (2022-2030) ($MN)
  • Table 34 Global Truck Platooning Market Outlook, By Fleet Operators (2022-2030) ($MN)
  • Table 35 Global Truck Platooning Market Outlook, By Retailers (2022-2030) ($MN)
  • Table 36 Global Truck Platooning Market Outlook, By Government Agencies (2022-2030) ($MN)
  • Table 37 Global Truck Platooning Market Outlook, By Transportation Providers (2022-2030) ($MN)
  • Table 38 Global Truck Platooning Market Outlook, By Other End Users (2022-2030) ($MN)

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