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市场调查报告书
商品编码
1625171

至 2030 年卡车编队市场预测：按车辆类型、编队配置、自动化等级、通讯模型、技术、应用、最终用户和地区进行全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球卡车队列市场规模为 13.8 亿美元，预计到 2030 年将达到 32.5 亿美元，预测期内复合年增长率为 11.5%。

卡车编队是一种运输策略，透过电子方式将多辆卡车连接在一起，并以紧密车队的方式驾驶它们，以减少空气阻力并提高燃油效率。领先的卡车设定速度，而后面的卡车则自动控制，保持安全距离并透过无线电通讯同步它们的速度。该技术透过提高道路安全性、减少消费量和最大限度地减少拥塞来改善交通流量。卡车编队通常在配备 ADAS（高级驾驶员辅助系统）的高速公路上进行，被视为自动驾驶和物流领域的一项有前景的发展。

据田纳西州交通部 (TDOT) 称，队列行驶可减少紧密连接的卡车之间的空气阻力，从而将 18 轮汽车的燃油成本降低 5% 至 10%。

人们对自动驾驶汽车整合的兴趣日益浓厚

随着领先公司越来越多地投资其车队的自动驾驶技术，编队行驶提供了一种增强这些系统的有效方法，以减少燃油消耗、提高安全性并优化路线。自主车队可以无缝整合队列技术，使卡车能够以最少的人为干预以紧凑的队列行驶。这种整合不仅提高了业务效率，而且透过展示简化物流、降低成本和增强整个行业的交付能力的潜力，加速了卡车队列的采用。

技术限制

卡车队列行驶的技术限制源自于对先进自动驾驶系统、车辆间通讯和即时资料处理的需求。目前的系统可能会难以应对复杂的路况、恶劣的天气或意外的交通情况，从而限制了其有效性。由于物流公司和监管机构优先考虑安全性和可靠性，这些技术差距阻碍了采用。如果没有可靠且强大的系统，轨道编队将无法充分发挥其潜力，阻碍市场成长并推迟大规模实施。

增加道路和通讯基础设施投资

基础设施的增强，例如车队卡车专用车道、改善的道路条件以及安装先进的传感器和通讯网络，将确保运营更加顺畅。对 V2V 和 V2I通讯系统的投资有助于即时协调并优化队列效率。这些升级将支援自动驾驶技术的发展、提高安全性并减少拥塞。随着政府和私营部门优先考虑这些进步，将为卡车队列的广泛采用创造有利的环境，从而加速市场扩张。

昂贵的技术和基础设施升级

卡车编队技术和基础设施升级成本高昂，是因为需要先进的自动驾驶系统、感测器、车对车通讯技术和道路基础设施改造。这些系统需要在研发、製造和部署方面进行大量投资。此外，升级道路和通讯网路以支援队列行驶的成本高昂。因此，缺乏负担得起的解决方案和较长的投资回收期阻碍了队列行驶的广泛采用。

COVID-19 的影响

COVID-19 的爆发对卡车队列市场产生了各种影响。一方面，全球供应链和运输的中断导致新技术采用的延迟。同时，对高效物流和非接触式操作不断增长的需求加速了人们对自动驾驶和队列行驶解决方案的兴趣。此外，疫情凸显了对更安全、更有效率的运输系统的需求，并刺激了对卡车队列技术和基础设施的长期投资。

预计区域和城市交通部门在预测期内将是最大的

预计区域和城市交通部门将在整个预测期内获得最大的市场占有率。在区域和城市交通中，卡车队列可以让卡车协调速度并靠得更近，从而增强交通流量、减少拥塞并提高燃油效率。它还透过最大限度地减少人为错误并实现卡车之间的即时通讯来提高安全性。随着城市推动更环保、更有效率的运输系统，卡车队列成为城市物流和区域货运的一个有吸引力的解决方案。

预计物流公司领域在预测期内的复合年增长率最高。

预计物流公司领域在预测期内的复合年增长率最高。对于物流公司来说，卡车编队透过降低油耗、加强路线规划和优化交货时间表来提高效率。卡车紧密行驶可减少空气阻力，从而显着节省成本。物流公司受惠于更快的交货时间、更低的营运成本和更低的排放，使卡车队列成为实现供应链和货运现代化的宝贵解决方案。

比最大的地区

由于对燃油效率的需求增加、运输成本上升以及政府推动智慧物流的措施等因素，预计亚太地区将在预测期内创下最大的市场占有率。沃尔沃集团、戴姆勒股份公司和丰田等大公司处于该地区技术进步和自动驾驶汽车开发的前沿。减少排放气体和提高道路安全的需求进一步支持了卡车队列的采用。由于基础设施发展的进步和有利的法规，亚太地区卡车队列市场预计在未来几年将显着增长。

复合年增长率最高的地区：

由于自动驾驶技术的进步，预计北美在预测期内将出现最高的复合年增长率。沃尔沃、戴姆勒卡车和 Peloton Technology 等主要企业正在推动创新，并与行业领导者合作，以增强车辆​​间通讯和安全系统。随着基础设施的改善和监管变得更加有利，北美卡车队列市场预计将显着增长，并改变该地区的物流和运输。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章 全球卡车队列市场：依车型分类

  • 小卡车
  • 重型卡车
  • 电动卡车

第六章全球卡车队列市场：按队列配置

  • 单排
  • 多个排

第七章全球卡车煞车市场：依自动化等级分类

  • 驾驶员援助
  • 部分自动化
  • 有条件自动化
  • 全自动
  • 其他自动化级别

第八章全球卡车编队市场：依通讯模式分类

  • 车对车通讯(V2V)
  • 车辆到基础设施 (V2I)通讯
  • 基于蜂窝的通讯
  • 专用短程通讯(DSRC)
  • 其他通讯模型

第九章全球卡车煞车市场：依技术分类

  • 自动驾驶卡车列队行驶
  • 半自动卡车编队行驶
  • 手动卡车编队行驶

第十章全球卡车煞车市场：依应用分类

  • 货物运输
  • 物流与供应链
  • 远距
  • 区域/城市交通
  • 近距离/本地配送
  • 其他用途

第十一章全球卡车编队市场：依最终用户分类

  • 物流公司
  • 车队营运商
  • 零售商
  • 政府机构
  • 运输
  • 其他最终用户

第十二章全球卡车煞车市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十三章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十四章 公司概况

  • 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.