Autonomous Trucks Market
Autonomous Trucks Market Forecasts to 2030 - Global Analysis By Truck Type (Light-Duty Trucks, Medium-Duty Trucks and Heavy-Duty Trucks), Propulsion Type (Diesel, Electric and Hybrid), Component, Automation Level, Application and By Geography
|
Years Covered |
2022-2030 |
|
Estimated Year Value (2024) |
US $34.59 BN |
|
Projected Year Value (2030) |
US $75.17 BN |
|
CAGR (2024 - 2030) |
12.8% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Autonomous Trucks Market is accounted for $34.59 billion in 2024 and is expected to reach $75.17 billion by 2030 growing at a CAGR of 12.8% during the forecast period. Autonomous trucks are self-driving commercial vehicles that use artificial intelligence (AI), sensors, cameras, radar, and advanced software to navigate roads with minimal or no human intervention. They operate using technologies like LiDAR, GPS, and machine learning to detect obstacles, interpret traffic signals, and optimize routes. They aim to enhance efficiency, reduce human error, and lower transportation costs in industries like logistics, freight, and supply chain management, ultimately revolutionizing long-haul trucking and delivery services.
According to a study conducted by the Federal Motor Carrier Safety Administration in collaboration with trucking industry leaders, the implementation of autonomous technologies has enabled a 50% reduction in rear-end crashes and an increase in asset uptime and driver retention.
Market Dynamics:
Driver:
Growing demand for logistics & freight transportation
The rapid expansion of e-commerce, just-in-time delivery models, and globalization have increased the need for efficient, cost-effective, and scalable transportation solutions. Autonomous trucks help address challenges like driver shortages, rising fuel costs, and supply chain inefficiencies by offering 24/7 operation, reduced human errors, and lower operational costs. Companies are investing in self-driving technology to optimize fleet management and enhance delivery speed. As freight volumes continue to rise, the adoption of autonomous trucks accelerates to meet demand efficiently, boosting market growth significantly.
Restraint:
Regulatory & legal uncertainty
Regulatory and legal uncertainty in autonomous trucks arises from varying laws across countries and states, lacking standardized policies for testing, operation, and liability. Governments struggle to define responsibility in accidents, cybersecurity risks, and ethical concerns, delaying large-scale deployment. Inconsistent regulations create barriers for manufacturers and fleet operators, increasing compliance costs and limiting investment confidence. This uncertainty slows technological adoption, ultimately hampering the growth of the autonomous trucks market.
Opportunity:
Advancements in AI & sensor technology
Advancements in AI and sensor technology are key drivers of the autonomous trucks, enhancing vehicle perception, navigation, and decision-making. AI-powered algorithms process real-time data from LiDAR, radar, cameras, and GPS, improving object detection, obstacle avoidance, and route optimization. These innovations reduce human errors, optimize fuel consumption, and lower operational costs, making autonomous trucking more viable. As sensor accuracy and AI capabilities improve, adoption accelerates across logistics, freight, and industrial sectors, thereby propelling the market expansion.
Threat:
Increasing incidence of lactose intolerance
Autonomous trucks have high initial investment costs due to the expensive hardware and software required for self-driving technology. Advanced LiDAR, radar, cameras, AI-powered processors, and connectivity solutions significantly increase production costs. Additionally, R&D expenses, regulatory compliance, and infrastructure upgrades add to the financial burden. These high costs hamper market growth by limiting adoption, especially for small and mid-sized logistics companies.
Covid-19 Impact:
The covid-19 pandemic disrupted the autonomous trucks market, causing supply chain delays, semiconductor shortages, and slowed R&D activities. However, it also highlighted the need for automation in logistics due to labor shortages and rising e-commerce demand. Regulatory progress was delayed in some regions, but long-term interest in self-driving technology grew, accelerating partnerships and innovation in freight automation to enhance efficiency and resilience in future supply chain operations.
The sensors segment is expected to be the largest during the forecast period
The sensors segment is expected to account for the largest market share during the forecast period. Sensors play a crucial role in autonomous trucks, enabling real-time perception, navigation, and decision-making. Technologies like LiDAR, radar, cameras, and ultrasonic sensors enable real-time object detection, lane-keeping, and adaptive cruise control. These sensors improve road safety by reducing human errors, enhancing obstacle detection, and enabling precise navigation in various weather conditions.
The port & terminal operations segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the port & terminal operations segment is predicted to witness the highest growth rate owing to their improved efficiency, reducing costs, and enhancing safety. These self-driving vehicles automate container transport, reducing reliance on human drivers and minimizing delays. Using AI, LiDAR, GPS, and IoT, they navigate complex environments, optimizing cargo handling and logistics. Overall, they enhance supply chain efficiency in global trade hubs.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rising e-commerce, increasing freight demand, and government initiatives supporting automation. Countries like China, Japan, and South Korea are leading in autonomous vehicle development, driven by advancements in AI, 5G, and smart infrastructure. China’s tech giants and automakers invest heavily in self-driving trucks, while Japan focuses on mitigating driver shortages. Further, strong industrialization and logistics expansion positioned Asia-Pacific as a key player in the global autonomous trucking industry.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR driven by high demand for freight transportation, a shortage of truck drivers, and strong technological advancements. The U.S. leads the market, with companies like Tesla, Waymo, and TuSimple developing self-driving truck technology. Government support, including testing approvals and regulatory frameworks, accelerates adoption. Canada is also investing in autonomous trucking for long-haul routes. North America remains a key hub for innovation and deployment of autonomous trucking solutions.
Key players in the market
Some of the key players in Autonomous Trucks market include Hyundai Motor Company, Iveco Group, Scania, Traton Group, Gatik, Volvo Autonomous Solutions, Kodiak Robotics, Daimler Trucks, Tesla, Waymo, TuSimple, Embark Trucks, Aurora Innovation, Einride, Torc Robotics, Pronto.ai, Caterpillar Inc. and Plus.
Key Developments:
In November 2024, Caterpillar Inc. has launched the fully autonomous Cat® 777 off-highway truck. The Cat® 777, a mid-sized off-highway truck widely used in mining and construction, has been successfully operated without human intervention. With this successful demonstration, Caterpillar strengthens its position as a leader in autonomous heavy machinery, paving the way for broader adoption of self-driving construction and mining equipment worldwide.
In October 2024, Traton Group and Plus launched the Level 4 autonomous truck operations in the US and Europe. The companies have also mapped hub-to-hub routes for phased commercial deployment in Texas. This milestone signifies the successful completion of their initial phase of collaboration to bring driverless trucks to the global market.
Truck Types Covered:
• Light-Duty Trucks
• Medium-Duty Trucks
• Heavy-Duty Trucks
Propulsion Types Covered:
• Diesel
• Electric
• Hybrid
Components Covered:
• Hardware
• Software
• Services
Automation Levels Covered:
• Driver Assistance
• Partial Automation
• Conditional Automation
• Full Automation
• Other Automation Levels
Applications Covered:
• Logistics & Freight Transportation
• Construction & Mining
• Port & Terminal Operations
• Agriculture
• Waste Management
• Military & Defense
• Other Applications
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 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
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
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 Emerging Markets
3.8 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 Autonomous Trucks Market, By Truck Type
5.1 Introduction
5.2 Light-Duty Trucks
5.3 Medium-Duty Trucks
5.4 Heavy-Duty Trucks
6 Global Autonomous Trucks Market, By Propulsion Type
6.1 Introduction
6.2 Diesel
6.3 Electric
6.4 Hybrid
7 Global Autonomous Trucks Market, By Component
7.1 Introduction
7.2 Hardware
7.2.1 Light Detection & Ranging (LiDAR)
7.2.2 Radar Sensors
7.2.3 Cameras
7.2.4 Global Positioning System (GPS)
7.2.5 Electronic Control Unit (ECU)
7.3 Software
7.3.1 AI & Machine Learning Algorithms
7.3.2 Autonomous Driving Software
7.3.3 Fleet Management Systems
7.3.4 Mapping & Localization Software
7.4 Services
7.4.1 Remote Monitoring & Maintenance
7.4.2 Cloud-Based Connectivity Solutions
7.4.3 Cybersecurity Solutions
8 Global Autonomous Trucks Market, By Automation Level
8.1 Introduction
8.2 Driver Assistance
8.3 Partial Automation
8.4 Conditional Automation
8.5 Full Automation
8.6 Other Automation Levels
9 Global Autonomous Trucks Market, By Application
9.1 Introduction
9.2 Logistics & Freight Transportation
9.3 Construction & Mining
9.4 Port & Terminal Operations
9.5 Agriculture
9.6 Waste Management
9.7 Military & Defense
9.8 Other Applications
10 Global Autonomous Trucks Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.10 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.10 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.1 Middle East & Africa
10.10.1 Saudi Arabia
10.10.2 UAE
10.10.3 Qatar
10.10.4 South Africa
10.10.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Hyundai Motor Company
12.2 Iveco Group
12.3 Scania
12.4 Traton Group
12.5 Gatik
12.6 Volvo Autonomous Solutions
12.7 Kodiak Robotics
12.8 Daimler Trucks
12.9 Tesla
12.10 Waymo
12.11 TuSimple
12.12 Embark Trucks
12.13 Aurora Innovation
12.14 Einride
12.15 Torc Robotics
12.16 Pronto.ai
12.17 Caterpillar Inc.
12.18 Plus
List of Tables
1 Global Autonomous Trucks Market Outlook, By Region (2022-2030) ($MN)
2 Global Autonomous Trucks Market Outlook, By Truck Type (2022-2030) ($MN)
3 Global Autonomous Trucks Market Outlook, By Light-Duty Trucks (2022-2030) ($MN)
4 Global Autonomous Trucks Market Outlook, By Medium-Duty Trucks (2022-2030) ($MN)
5 Global Autonomous Trucks Market Outlook, By Heavy-Duty Trucks (2022-2030) ($MN)
6 Global Autonomous Trucks Market Outlook, By Propulsion Type (2022-2030) ($MN)
7 Global Autonomous Trucks Market Outlook, By Diesel (2022-2030) ($MN)
8 Global Autonomous Trucks Market Outlook, By Electric (2022-2030) ($MN)
9 Global Autonomous Trucks Market Outlook, By Hybrid (2022-2030) ($MN)
10 Global Autonomous Trucks Market Outlook, By Component (2022-2030) ($MN)
11 Global Autonomous Trucks Market Outlook, By Hardware (2022-2030) ($MN)
12 Global Autonomous Trucks Market Outlook, By Light Detection & Ranging (LiDAR) (2022-2030) ($MN)
13 Global Autonomous Trucks Market Outlook, By Radar Sensors (2022-2030) ($MN)
14 Global Autonomous Trucks Market Outlook, By Cameras (2022-2030) ($MN)
15 Global Autonomous Trucks Market Outlook, By Global Positioning System (GPS) (2022-2030) ($MN)
16 Global Autonomous Trucks Market Outlook, By Electronic Control Unit (ECU) (2022-2030) ($MN)
17 Global Autonomous Trucks Market Outlook, By Software (2022-2030) ($MN)
18 Global Autonomous Trucks Market Outlook, By AI & Machine Learning Algorithms (2022-2030) ($MN)
19 Global Autonomous Trucks Market Outlook, By Autonomous Driving Software (2022-2030) ($MN)
20 Global Autonomous Trucks Market Outlook, By Fleet Management Systems (2022-2030) ($MN)
21 Global Autonomous Trucks Market Outlook, By Mapping & Localization Software (2022-2030) ($MN)
22 Global Autonomous Trucks Market Outlook, By Services (2022-2030) ($MN)
23 Global Autonomous Trucks Market Outlook, By Remote Monitoring & Maintenance (2022-2030) ($MN)
24 Global Autonomous Trucks Market Outlook, By Cloud-Based Connectivity Solutions (2022-2030) ($MN)
25 Global Autonomous Trucks Market Outlook, By Cybersecurity Solutions (2022-2030) ($MN)
26 Global Autonomous Trucks Market Outlook, By Automation Level (2022-2030) ($MN)
27 Global Autonomous Trucks Market Outlook, By Driver Assistance (2022-2030) ($MN)
28 Global Autonomous Trucks Market Outlook, By Partial Automation (2022-2030) ($MN)
29 Global Autonomous Trucks Market Outlook, By Conditional Automation (2022-2030) ($MN)
30 Global Autonomous Trucks Market Outlook, By Full Automation (2022-2030) ($MN)
31 Global Autonomous Trucks Market Outlook, By Other Automation Levels (2022-2030) ($MN)
32 Global Autonomous Trucks Market Outlook, By Application (2022-2030) ($MN)
33 Global Autonomous Trucks Market Outlook, By Logistics & Freight Transportation (2022-2030) ($MN)
34 Global Autonomous Trucks Market Outlook, By Construction & Mining (2022-2030) ($MN)
35 Global Autonomous Trucks Market Outlook, By Port & Terminal Operations (2022-2030) ($MN)
36 Global Autonomous Trucks Market Outlook, By Agriculture (2022-2030) ($MN)
37 Global Autonomous Trucks Market Outlook, By Waste Management (2022-2030) ($MN)
38 Global Autonomous Trucks Market Outlook, By Military & Defense (2022-2030) ($MN)
39 Global Autonomous Trucks Market Outlook, By Other Applications (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
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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