Automated Truck Market
PUBLISHED: 2025 ID: SMRC30979
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Automated Truck Market

Automated Truck Market Forecasts to 2032 – Global Analysis By Truck Type (Light-duty Trucks, Medium-duty Trucks and Heavy-duty Trucks), Level of Automation, Component, Propulsion, Application, End User and By Geography

4.3 (22 reviews)
4.3 (22 reviews)
Published: 2025 ID: SMRC30979

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Automated Truck Market is accounted for $44.4 billion in 2025 and is expected to reach $101.9 billion by 2032 growing at a CAGR of 12.60% during the forecast period. An automated truck, also known as a self-driving or autonomous truck, is a commercial vehicle equipped with advanced technologies that allow it to operate with little or no human intervention. These trucks use a combination of sensors, cameras, radar, LiDAR, artificial intelligence, and GPS systems to perceive their environment, navigate roads, detect obstacles, and make driving decisions. Automated trucks are designed to improve safety, reduce human error, enhance fuel efficiency, and optimize logistics operations. They can operate in different levels of automation, from driver-assist features to fully autonomous driving, revolutionizing freight transportation and the future of the logistics industry.

Market Dynamics:

Driver: 

Severe truck driver shortages & rising labor costs

Autonomous systems are being deployed to handle long-haul and repetitive routes, reducing dependency on human labor. AI-driven optimization is improving delivery speed and fuel efficiency. E-commerce growth is amplifying demand for scalable transport infrastructure. Investments in autonomous fleets are helping mitigate labor volatility. These trends are reinforcing the strategic value of automation in freight operations.

Restraint:

Regulatory fragmentation & uncertainty

Differences in safety protocols, testing procedures, and liability frameworks hinder cross-border scalability. Regulatory ambiguity slows OEM investment and pilot expansion. Public road access and insurance coverage remain unresolved in many markets. Smaller firms face barriers in navigating complex approval processes. These issues are delaying widespread adoption and ecosystem development.

Opportunity:

Enhanced operational efficiency & cost savings

Predictive maintenance and real-time monitoring are improving uptime and asset performance. Integration with digital platforms is streamlining routing and dispatch. Autonomous systems are minimizing human error and improving safety outcomes. Fleet operators are achieving better cost control and delivery reliability. These advantages are driving adoption across freight-intensive industries.

Threat:

Workforce displacement & labor resistance

Concerns over skill redundancy and economic impact are influencing regulatory decisions. Public sentiment is shaping pilot approvals and deployment strategies. Absence of structured retraining programs is complicating stakeholder engagement. Companies are under pressure to balance innovation with social responsibility. These dynamics are introducing reputational and policy risks.

Covid-19 Impact: 

The Covid-19 pandemic had a mixed impact on the automated truck market. Supply chain disruptions and manufacturing halts initially slowed production and delayed deployments. However, the crisis highlighted the importance of contactless and efficient logistics, accelerating interest in automation. Labor shortages and rising demand for e-commerce fueled adoption, as automated trucks offered resilience and safety. Investments in research and pilot projects grew despite uncertainties. Overall, the pandemic acted as both a short-term restraint and a long-term growth catalyst.

The heavy-duty trucks segment is expected to be the largest during the forecast period

The heavy-duty trucks segment is expected to account for the largest market share during the forecast period due to their suitability for autonomous long-distance freight. High payload capacity and highway compatibility make them ideal for automation. Integration with ADAS and telematics is enhancing safety and performance. Electrification and modular design are supporting platform innovation. Regulatory support for freight efficiency is boosting investment. This segment will remain dominant due to scale and infrastructure alignment.

The logistics & freight transportation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the logistics & freight transportation segment is predicted to witness the highest growth rate owing to demand for scalable and efficient delivery systems. Automated trucks are streamlining supply chains and reducing last-mile delays. Integration with warehouse automation and digital platforms is improving throughput. E-commerce growth and urban expansion are driving adoption. Strategic collaborations are accelerating deployment across networks. This segment is set for rapid growth as automation becomes integral to freight operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by the adoption of advanced driver assistance systems and ongoing infrastructure upgrades to support autonomous operations. Major players are focusing on technology integration, such as LiDAR, radar, and AI-powered navigation, to enhance safety and efficiency. Strong government regulations and initiatives for reducing carbon emissions are encouraging fleet modernization. The logistics and e-commerce sectors are fuelling demand for automated medium- and heavy-duty trucks. Partnerships between tech companies and traditional truck manufacturers are accelerating innovation, while pilot projects and real-world deployments are gradually increasing acceptance among transport operators.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid industrialization and expanding freight volumes are key growth factors for the automated truck market. Countries are investing heavily in smart highways and autonomous-friendly infrastructure to accommodate next-generation transportation solutions. The market is characterized by a mix of local and international players focusing on cost-effective automation technologies suitable for diverse terrains and traffic conditions. Government policies are promoting digital logistics and automation to improve supply chain efficiency. Rising urbanization, e-commerce growth, and logistics modernization are encouraging early adoption of automated trucks. Collaborative ventures and pilot programs are actively shaping market dynamics across the region.

Key players in the market

Some of the key players in Automated Truck Market include Daimler Truck AG, Volvo Group, PACCAR Inc., Tesla Inc., Aurora Innovation Inc., TuSimple Holdings Inc., Embark Trucks Inc., Kodiak Robotics Inc., PlusAI Inc., Einride AB, Waymo LLC, Hyundai Motor Company, Navistar International Corporation, Scania AB and MAN Truck & Bus SE.

Key Developments:

In July 2025, Daimler Truck North America expanded its partnership with Aeva to scale production of 4D LiDAR sensors for autonomous Freightliner Cascadia trucks. The collaboration enables deployment of up to 200,000 units annually, supporting SAE Level 4 automation with high-resolution velocity and range detection.

In February 2025, Volvo Autonomous Solutions and Waabi announced plans to launch commercial pilots of the Volvo VNL Autonomous in Texas. The truck integrates Waabi’s AV2.0 system and will be factory-built with embedded autonomy hardware, targeting full driverless deployment

Truck Types Covered:
• Light-duty Trucks
• Medium-duty Trucks
• Heavy-duty Trucks

Level of Automations Covered:
• Level 1 (Driver Assistance)
• Level 2 (Partial Automation)
• Level 3 (Conditional Automation)
• Level 4 (High Automation)
• Level 5 (Full Automation)

Components Covered:
• Hardware
• Software
• Services

Propulsions Covered:
• Diesel
• Electric
• Hybrid
• Fuel Cell

Applications Covered:
• Freight Transportation
• Mining
• Construction
• Other Applications

End Users Covered:
• E-commerce & Retail
• Manufacturing
• Logistics Companies
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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 2024, 2025, 2026, 2028, and 2032
- 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o 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 Application Analysis      
 3.7 End User Analysis       
 3.8 Emerging Markets       
 3.9 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 Automated Truck Market, By Truck Type     
 5.1 Introduction       
 5.2 Light-duty Trucks       
 5.3 Medium-duty Trucks      
 5.4 Heavy-duty Trucks       
          
6 Global Automated Truck Market, By Level of Automation    
 6.1 Introduction       
 6.2 Level 1 (Driver Assistance)      
 6.3 Level 2 (Partial Automation)      
 6.4 Level 3 (Conditional Automation)     
 6.5 Level 4 (High Automation)      
 6.6 Level 5 (Full Automation)      
          
7 Global Automated Truck Market, By Component     
 7.1 Introduction       
 7.2 Hardware       
  7.2.1 Sensors       
  7.2.2 Actuators       
  7.2.3 Control Units      
 7.3 Software        
  7.3.1 Autonomous Driving Software     
  7.3.2 Fleet Management Systems     
 7.4 Services        
  7.4.1 Maintenance & Support     
  7.4.2 Connectivity & Cloud Services     
          
8 Global Automated Truck Market, By Propulsion     
 8.1 Introduction       
 8.2 Diesel        
 8.3 Electric        
 8.4 Hybrid        
 8.5 Fuel Cell        
          
9 Global Automated Truck Market, By Application     
 9.1 Introduction       
 9.2 Freight Transportation     
 9.3 Mining        
 9.4 Construction       
 9.5 Other Applications       
          
10 Global Automated Truck Market, By End User     
 10.1 Introduction       
 10.2 E-commerce & Retail      
 10.3 Manufacturing       
 10.4 Logistics Companies     
 10.5 Other End Users       
          
11 Global Automated Truck Market, By Geography     
 11.1 Introduction       
 11.2 North America       
  11.2.1 US       
  11.2.2 Canada       
  11.2.3 Mexico       
 11.3 Europe        
  11.3.1 Germany       
  11.3.2 UK       
  11.3.3 Italy       
  11.3.4 France       
  11.3.5 Spain       
  11.3.6 Rest of Europe      
 11.4 Asia Pacific       
  11.4.1 Japan       
  11.4.2 China       
  11.4.3 India       
  11.4.4 Australia       
  11.4.5 New Zealand      
  11.4.6 South Korea      
  11.4.7 Rest of Asia Pacific      
 11.5 South America       
  11.5.1 Argentina      
  11.5.2 Brazil       
  11.5.3 Chile       
  11.5.4 Rest of South America     
 11.6 Middle East & Africa      
  11.6.1 Saudi Arabia      
  11.6.2 UAE       
  11.6.3 Qatar       
  11.6.4 South Africa      
  11.6.5 Rest of Middle East & Africa     
          
12 Key Developments        
 12.1 Agreements, Partnerships, Collaborations and Joint Ventures   
 12.2 Acquisitions & Mergers      
 12.3 New Product Launch      
 12.4 Expansions       
 12.5 Other Key Strategies      
          
13 Company Profiling        

 13.1 Daimler Truck AG       
 13.2 Volvo Group       
 13.3 PACCAR Inc.       
 13.4 Tesla Inc.        
 13.5 Aurora Innovation Inc.      
 13.6 TuSimple Holdings Inc.      
 13.7 Embark Trucks Inc.       
 13.8 Kodiak Robotics Inc.       
 13.9 PlusAI Inc.       
 13.10 Einride AB       
 13.11 Waymo LLC       
 13.12 Hyundai Motor Company      
 13.13 Navistar International Corporation     
 13.14 Scania AB        
 13.15 MAN Truck & Bus SE       
          
List of Tables         
1 Global Automated Truck Market Outlook, By Region (2024-2032) ($MN)   
2 Global Automated Truck Market Outlook, By Truck Type (2024-2032) ($MN)  
3 Global Automated Truck Market Outlook, By Light-duty Trucks (2024-2032) ($MN)  
4 Global Automated Truck Market Outlook, By Medium-duty Trucks (2024-2032) ($MN) 
5 Global Automated Truck Market Outlook, By Heavy-duty Trucks (2024-2032) ($MN)  
6 Global Automated Truck Market Outlook, By Level of Automation (2024-2032) ($MN) 
7 Global Automated Truck Market Outlook, By Level 1 (Driver Assistance) (2024-2032) ($MN) 
8 Global Automated Truck Market Outlook, By Level 2 (Partial Automation) (2024-2032) ($MN) 
9 Global Automated Truck Market Outlook, By Level 3 (Conditional Automation) (2024-2032) ($MN)
10 Global Automated Truck Market Outlook, By Level 4 (High Automation) (2024-2032) ($MN) 
11 Global Automated Truck Market Outlook, By Level 5 (Full Automation) (2024-2032) ($MN) 
12 Global Automated Truck Market Outlook, By Component (2024-2032) ($MN)  
13 Global Automated Truck Market Outlook, By Hardware (2024-2032) ($MN)  
14 Global Automated Truck Market Outlook, By Sensors (2024-2032) ($MN)   
15 Global Automated Truck Market Outlook, By Actuators (2024-2032) ($MN)  
16 Global Automated Truck Market Outlook, By Control Units (2024-2032) ($MN)  
17 Global Automated Truck Market Outlook, By Software (2024-2032) ($MN)  
18 Global Automated Truck Market Outlook, By Autonomous Driving Software (2024-2032) ($MN)
19 Global Automated Truck Market Outlook, By Fleet Management Systems (2024-2032) ($MN) 
20 Global Automated Truck Market Outlook, By Services (2024-2032) ($MN)   
21 Global Automated Truck Market Outlook, By Maintenance & Support (2024-2032) ($MN) 
22 Global Automated Truck Market Outlook, By Connectivity & Cloud Services (2024-2032) ($MN)
23 Global Automated Truck Market Outlook, By Propulsion (2024-2032) ($MN)  
24 Global Automated Truck Market Outlook, By Diesel (2024-2032) ($MN)   
25 Global Automated Truck Market Outlook, By Electric (2024-2032) ($MN)   
26 Global Automated Truck Market Outlook, By Hybrid (2024-2032) ($MN)   
27 Global Automated Truck Market Outlook, By Fuel Cell (2024-2032) ($MN)  
28 Global Automated Truck Market Outlook, By Application (2024-2032) ($MN)  
29 Global Automated Truck Market Outlook, By Freight Transportation (2024-2032) ($MN)
30 Global Automated Truck Market Outlook, By Mining (2024-2032) ($MN)   
31 Global Automated Truck Market Outlook, By Construction (2024-2032) ($MN)  
32 Global Automated Truck Market Outlook, By Other Applications (2024-2032) ($MN)  
33 Global Automated Truck Market Outlook, By End User (2024-2032) ($MN)  
34 Global Automated Truck Market Outlook, By E-commerce & Retail (2024-2032) ($MN) 
35 Global Automated Truck Market Outlook, By Manufacturing (2024-2032) ($MN)  
36 Global Automated Truck Market Outlook, By Logistics Companies (2024-2032) ($MN)
37 Global Automated Truck Market Outlook, By Other End Users (2024-2032) ($MN)  
          
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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