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市场调查报告书
商品编码
1684805

卡车排队市场机会、成长动力、行业趋势分析和 2025 - 2034 年预测

Truck Platooning Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球卡车排队市场规模达 23 亿美元，预计 2025 年至 2034 年期间复合年增长率将达到 21.9%。随着世界越来越关注永续性、营运效率和安全性，卡车排队正在迅速流行起来。这种让多辆卡车以紧密同步的队形行驶的创新技术正在成为减少燃料消耗和减少环境影响的关键解决方案。透过减少空气阻力，这些车队显着降低了燃料成本，同时降低了碳排放。

卡车排队市场 - IMG1

同时，人工智慧（AI）和机器学习等自动化技术的进步，使车队行驶成为追求更高效率和可靠性的车队营运商的可行选择。政府也透过提供激励措施和资助促进这项先进技术发展的研究计画来促进市场的成长。基础设施升级和监管支援也有助于推动采用，使卡车排队成为未来交通运输的关键组成部分。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 23亿美元
预测值 161亿美元
复合年增长率 21.9％

卡车车队市场的主要驱动力之一是政府和私营部门的持续支持。卡车运输业向自动化的转变正在推动商业车队采用尖端技术，以简化营运、降低燃料费用并提高道路安全性。随着对物流优化的需求不断增加，卡车排队为旨在提高效率同时减少对人类驾驶员依赖的营运商提供了理想的解决方案。此外，电子商务的成长和满足交货期限的压力促使车队营运商寻求在确保安全的同时提高速度的方法，进一步推动了车队行驶的采用。

市场按通讯技术细分，包括车对车 (V2V)、车对一切 (V2X) 和车对基础设施 (V2I)。 2024 年，V2X 领域占据了 40% 的市场份额，预计到 2034 年将创造 80 亿美元的市场价值。 V2X 技术透过实现车队卡车与周围基础设施（如道路系统、交通号誌和其他车辆）之间的无缝通讯来推动这一成长。这种即时资料交换优化了车辆协调，使得车队行驶更加安全、高效，尤其是在互联互通的道路上。

卡车排队行驶也严重依赖硬体、软体和服务。硬体部分将在 2024 年占据 46% 的市场份额，并且正在经历显着的成长。先进的感测器，包括光达、雷达、摄影机和超音波感测器，对于确保平稳、安全的排队操作至关重要。这些技术可帮助卡车保持精确的距离、侦测障碍物并同步其运动，使硬体成为卡车排队系统持续发展的关键组成部分。

光是美国卡车车队市场在 2024 年就占据了全球份额的 80%。美国在自动驾驶汽车技术方面的领导地位，包括人工智慧演算法和基于感测器的自动化的不断发展，正在加速车队行驶系统的采用。随着自动驾驶卡车变得越来越可靠，美国的车队营运商越来越多地采用车队行驶技术来降低燃料成本、简化物流并提高道路安全。随着自动化技术的不断进步，美国市场可望长期大幅成长。

目录

第 1 章：方法论与范围

  • 研究设计
    • 研究方法
    • 资料收集方法
  • 基础估算与计算
    • 基准年计算
    • 市场估计的主要趋势
  • 预测模型
  • 初步研究和验证
    • 主要来源
    • 资料探勘来源
  • 市场范围和定义

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
    • 硬体提供者
    • 软体供应商
    • 服务提供者
    • 技术提供者
    • 最终用户
  • 供应商概况
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻及倡议
  • 监管格局
  • 用例
  • 衝击力
    • 成长动力
      • 商用车销售成长
      • 降低车队营运成本和燃料消耗的需求增加
      • 连网汽车需求不断成长
      • 严格的环境法规和不断增长的道路安全需求
      • 技术和硬体成本高
      • 缺乏基础设施
    • 产业陷阱与挑战
      • 缺乏物流控制
      • 跨境运输相关风险
  • 成长潜力分析
  • 波特的分析
  • PESTEL 分析

第四章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第五章：市场估计与预测：按组件，2021 - 2034 年

  • 主要趋势
  • 硬体
    • 感应器
    • 检测系统
    • 相机
    • 其他的
  • 软体
  • 服务

第六章：市场估计与预测：依车型，2021 - 2034 年

  • 主要趋势
  • 轻型商用车 (LCV)
  • 重型商用车 (HCV)

第 7 章：市场估计与预测：按自主水平，2021 - 2034 年

  • 主要趋势
  • 部分自治
  • 完全自主

第 8 章：市场估计与预测：按通讯技术，2021 - 2034 年

  • 主要趋势
  • 车对车 (V to V)
  • 车辆到一切（V到X）
  • 车辆到基础设施 (V to I)

第 9 章：市场估计与预测：按地区，2021 - 2034 年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东及非洲
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯
    • 土耳其

第十章：公司简介

  • AB Volvo
  • Bendix
  • Bosch
  • Continental
  • Daimler
  • Hino Motors
  • IVECO
  • NVIDIA
  • Omnitracs
  • Peloton
  • Scania
  • TomTom
  • TuSimple
  • Veddel
  • ZF Friedrichshafen
简介目录
Product Code: 5329

The Global Truck Platooning Market reached USD 2.3 billion in 2024 and is projected to grow at a robust CAGR of 21.9% from 2025 to 2034. As the world becomes more focused on sustainability, operational efficiency, and safety, truck platooning is rapidly gaining traction. This innovative technology, where multiple trucks travel in a closely synchronized formation, is becoming a crucial solution for reducing fuel consumption and minimizing environmental impact. By reducing aerodynamic drag, these platoons significantly cut fuel costs while lowering carbon emissions.

Truck Platooning Market - IMG1

At the same time, advancements in automation technology, including artificial intelligence (AI) and machine learning, make platooning a feasible option for fleet operators seeking greater efficiency and reliability. Governments are also contributing to the market's growth by offering incentives and funding research programs that promote the development of this advanced technology. Infrastructure upgrades and regulatory support are also helping drive adoption, making truck platooning a key component of the future of transportation.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$2.3 Billion
Forecast Value$16.1 Billion
CAGR21.9%

One of the primary drivers of the truck platooning market is the ongoing support from both governments and private sectors. The shift toward automation in the trucking industry is pushing commercial fleets to adopt cutting-edge technologies that streamline operations, reduce fuel expenses, and enhance safety on the roads. With the increasing demand for logistics optimization, truck platooning offers an ideal solution for operators aiming to improve efficiency while reducing reliance on human drivers. Additionally, the growth in e-commerce and the pressure to meet delivery deadlines are prompting fleet operators to seek ways to increase speed while ensuring safety, further boosting the adoption of platooning.

The market is segmented by communication technology, which includes Vehicle-to-Vehicle (V2V), Vehicle-to-Everything (V2X), and Vehicle-to-Infrastructure (V2I). In 2024, the V2X segment captured 40% of the market share and is expected to generate USD 8 billion by 2034. V2X technology is fueling this growth by enabling seamless communication between platooning trucks and surrounding infrastructure, such as road systems, traffic signals, and other vehicles. This real-time data exchange optimizes vehicle coordination, making platooning safer and more efficient, especially on interconnected roadways.

Truck platooning also relies heavily on hardware, software, and services. The hardware segment, which accounted for 46% of the market in 2024, is experiencing significant growth. Advanced sensors, including LiDAR, radar, cameras, and ultrasonic sensors, are integral to ensuring smooth, safe platooning operations. These technologies help trucks maintain precise distances, detect obstacles, and synchronize their movements, making hardware a critical component for the ongoing development of truck platooning systems.

The U.S. truck platooning market alone made up 80% of the global share in 2024. The nation's leadership in autonomous vehicle technology, including the continuous evolution of AI algorithms and sensor-based automation, is accelerating the adoption of platooning systems. As autonomous trucks become more reliable, fleet operators in the U.S. are increasingly adopting platooning technology to reduce fuel costs, streamline logistics, and enhance road safety. With continued advancements in automation, the U.S. market is poised for substantial long-term growth.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates & calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimation
  • 1.3 Forecast model
  • 1.4 Primary research and validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market scope & definition

Chapter 2 Executive Summary

  • 2.1 Industry 3600 synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Hardware providers
    • 3.1.2 Software providers
    • 3.1.3 Service providers
    • 3.1.4 Technology providers
    • 3.1.5 End users
  • 3.2 Supplier landscape
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Use case
  • 3.9 Impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Growing sales of commercial vehicles
      • 3.9.1.2 Increase in demand to reduce operating cost and fuel consumption by fleet
      • 3.9.1.3 Rising demand for connected vehicles
      • 3.9.1.4 Stringent environmental regulations and rising demand for road safety
      • 3.9.1.5 High cost of technology and hardware
      • 3.9.1.6 Lack of infrastructure
    • 3.9.2 Industry pitfalls & challenges
      • 3.9.2.1 Lack of logistics control
      • 3.9.2.2 Risks associated with cross-border transportation
  • 3.10 Growth potential analysis
  • 3.11 Porter’s analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Detection systems
    • 5.2.3 Camera
    • 5.2.4 Others
  • 5.3 Software
  • 5.4 Services

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Bn)

  • 6.1 Key trends
  • 6.2 Light Commercial Vehicle (LCV)
  • 6.3 Heavy Commercial Vehicle (HCV)

Chapter 7 Market Estimates & Forecast, By Autonomous Level, 2021 - 2034 ($Bn)

  • 7.1 Key trends
  • 7.2 Partially-autonomous
  • 7.3 Fully autonomous

Chapter 8 Market Estimates & Forecast, By Communication Technology, 2021 - 2034 ($Bn)

  • 8.1 Key trends
  • 8.2 Vehicle to Vehicle (V to V)
  • 8.3 Vehicle to Everything (V to X)
  • 8.4 Vehicle to Infrastructure (V to I)

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Russia
    • 9.3.7 Nordics
  • 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 Southeast Asia
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 South Africa
    • 9.6.3 Saudi Arabia
    • 9.6.4 Turkey

Chapter 10 Company Profiles

  • 10.1 AB Volvo
  • 10.2 Bendix
  • 10.3 Bosch
  • 10.4 Continental
  • 10.5 Daimler
  • 10.6 Hino Motors
  • 10.7 IVECO
  • 10.8 NVIDIA
  • 10.9 Omnitracs
  • 10.10 Peloton
  • 10.11 Scania
  • 10.12 TomTom
  • 10.13 TuSimple
  • 10.14 Veddel
  • 10.15 ZF Friedrichshafen