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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

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  • 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
KSA 25.01.21

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
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