Autonomous Truck Market Size, Share, Growth Opportunity Analysis Report by Level of Automation (Level 1, Level 2, Level 3, Level 4 and Level 5), ADAS Features, Truck Class, Component, Propulsion, End Use Industry and Geography (North America, Europe, Asia Pacific, Middle East, Africa, and South America) – Global Industry Data, Trends, and Forecasts, 2025–2035.
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Segmental Data Insights |
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Demand Trends |
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Competitive Landscape |
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Strategic Development |
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Future Outlook & Opportunities |
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Autonomous Truck Market Size, Share, and Growth
The global autonomous truck market is projected to grow from USD 0.5 Billion in 2025 to USD 2.3 Billion in 2035, with a strong CAGR of 17.1% during the forecasted period. Europe leads the autonomous truck market with market share of 44.5% with USD 0.2 billion revenue.
In August 2025, PACCAR Inc. announced the deployment of its autonomous truck pilot program in partnership with Aurora Innovation for long-haul freight operations across Texas. The initiative focuses on integrating PACCAR’s advanced vehicle platforms with Aurora’s autonomous driving software to enhance safety, efficiency, and logistics optimization in commercial trucking.
The global autonomous truck market is highly motivated by the increasing need of logistics efficiency and increasing shortage of drivers in freight activities. In 2025, Daimler Truck AG will increase autonomous freight routes in the U.S. under its subsidiary Torc Robotics to enhance the speed of delivery and minimise operational downtime.
Moreover, Waymo LLC, led by Tekedra Mawakana, will begin large-scale testing in June 2025 of its Class 8 autonomous trucks to complete long-distance transportation missions in Arizona to counteract labor limitations and improve route optimization. These innovations are causing the world to move more towards automation in freight logistics, which is greatly increasing productivity, as well as reducing transportation costs.
Some of the market opportunities of the global autonomous truck market are connected vehicle infrastructure, electric development of powertrains, and AI based fleet management. These segments enable the integration of smart logistics, real-time tracking as well as sustainable transport. These neighboring markets increase the effectiveness of the whole operation, allowing quicker commercialization and a wider use of autonomous trucking technologies across the globe.
Autonomous Truck Market Dynamics and Trends
Driver: Integration of AI and Advanced Sensor Technologies
- The key drivers that can stimulate the growth of the global autonomous truck market are the implementation of artificial intelligence (AI), LiDAR, and fancy sensor systems to improve the perception and accuracy of decisions of vehicles. The technologies can be used to map the environment in real time, predictive analytics, and adaptive cruise control to make freight operations safer and more effective.
- To enhance the performance of the systems, NVIDIA Corporation introduced its enhanced NVIDIA DRIVE Thor platform in September 2025 that integrates computing, perception and path planning all in one chip with a processing power that is up to four times superior to those of the past. Through this innovation, the autonomous trucks will be able to handle several sensor inputs at the same time which are important in coping with complex traffic conditions and also collision avoidance.
- For instance, Continental AG came up with more advanced radar and camera fusion system to better the object detection accuracy especially during adverse weather. These high-performance computing and sensor technologies can be easily integrated and save human interventions, decrease the number of accidents, and increase fuel and route efficiency.
- The automation of trucking is getting more reliable and scalable, as AI enhances the self-driving system, increasing its acceptance in long-haul logistics.
Restraint: High Cost of Deployment and Infrastructure Limitations
- The expensive nature of the upfront cost of deploying autonomous trucks and infrastructure is a significant limitation, even with the technological progress. Installation of high-definition mapping and roadside sensors, vehicle-to-everything (V2X) communication systems is very costly and is not possible in mid-sized fleets. Therefore, it is anticipated to hampers the growth of autonomous truck market across the globe
- In August 2025, the autonomous freight expansion of Embark Trucks, Inc. stated that this expansion would be delayed because of the increased capital expense to upgrade test corridors and remote operation centers.
- Moreover, regulatory compliance testing, integration with cybersecurity and sensor calibration are other factors that add to overall implementation costs. The fleet operators find it difficult to meet the regional safety standards and modernize the telematics system that can support autonomous vehicle networks.
- Although such expenses can be mitigated by large companies such as Daimler Truck AG and AB Volvo owing to partnerships, small and local logistics companies find it difficult to pay off, especially in new economies where the road infrastructure and connectivity is underdeveloped.
- The prohibitive cost of implementation hinders popular commercialization especially in developing areas with less developed digital and physical logistic support.
Opportunity: Growing Adoption of Electric Autonomous Trucks
- The key opportunities are the combination of autonomous driving technologies and electric powertrains that will allow the development of sustainable and cost-effective freight solutions. With other countries tightening the emissions regulations, electric autonomous trucks are becoming an option to the diesel fleet. All these factors are likely to create a lucrative opportunity in the global autonomous truck market.
- In July 2025, Tesla Inc. started testing its Autonomous Tesla Semi with Full Self-Driving (FSD) software, which aims at large logistics centers in Europe and North America. With the interdependency of autonomy and electrification, the fuel consumption is minimized, emissions are minimized, and the vehicle can be used all the time because of driver fatigue.
- Moreover, Volvo Trucks released its FH Electric Autonomous model, which is built to operate on zero emissions, long-haul truck freight, which relies on the use of AI-controlled battery management and predicted maintenance. The opportunity of the market is also supported by increased investments by domestic and international logistics companies, such as DHL and UPS, in electric truck fleets. Environmental policies, cost effectiveness, and automation have a strong platform of expanding the autonomous truck market.
- Electrification and automation coming together makes autonomous trucking a pillar of the next-generation logistic sustainability.
Key Trend: Expansion of Autonomous Freight Corridors and Logistics Partnerships
- One of the tendencies that influence the development of autonomous truck market across the globe is the growth of specialized freight corridors and cross-industrial alliances between technology companies, truck makers, and shippers. Through such partnerships, alignment in regulation is made faster, real-world testing is enhanced, as well as data interoperability.
- Moreover, in September 2025, Waymo LLC, with Co-CEO Tekedra Mawakana, collaborated with C.H. Robinson Worldwide Inc. to trial autonomous trucking between Texas and California by concentrating on improving the route effectiveness and cargo monitoring with the assistance of AI analytics.
- For instance, PACCAR Inc. has broadened its partnership with Aurora Innovation to come up with large-volume autonomous truck fleets that operate in geo-fenced freight corridors. The U.S and Europe are also investing in digital infrastructure in order to facilitate connected logistics. This trend of ecosystem expansion of OEMs, software makers and logistics solutions providers results in a networked strategy to the adoption of autonomy, maximizing safety and efficiency within supply chains.
- This is due to the strategic partnerships and expansion of freight corridors that are driving the business feasibility of autonomous trucking at scale.
Autonomous Truck Market Analysis and Segmental Data
Based on ADAS Features, the Automatic Emergency Braking (AEB) Segment Retains the Largest Share
- The automatic emergency braking (AEB) segment holds major share ~34% in the global autonomous truck market, as it is responsible and crucial to make the roads safer and avoid the risk of colliding as well as to meet the requirements of the new tighter regulations on the safety level. The AEB technology is based on automatic identification of the possible collision using radar, camera, and LiDAR devices so that autonomous trucks can react quicker than human drivers.
- Daimler Truck AG introduced Level 4 Freightliner eCascadia in April 2025, with next-generation AEB applied to the driverless truck, which was able to autonomously apply brakes in order to prevent stationary and moving objects, enhancing the operational safety and insurance compliance of fleet operators.
- Moreover, government agencies like the U.S. NHTSA and European Commission are also requiring AEB to be installed on heavy-duty cars, which increases its uptake. The demonstrated capability of the system to minimize fatal accidents and downtimes makes it one of the main differentiators of autonomous fleet safety.
- The AEB adoption boom has great benefits in terms of trust and fleet automation, as well as establishing safety leadership in the autonomous trucking market.
North America Dominates Global Autonomous Truck Market in 2025 and Beyond
- North America has the greatest demand of autonomous trucks because of the well-developed transportation networks of the region, large volumes of freight, and the early regulatory favor towards autonomous truck testing and deployment. The problem of driver shortage persists in the U.S. trucking sector, reaching more than 80,000 drivers in 2024, which is a significant motivation to use automation in logistics firms.
- Moreover, the area has a well-established digital infrastructure, such as AI-based fleet management, vehicle-to-infrastructure (V2I) solutions, and a stable 5G network that will improve real-time communication between vehicles and safety. In May 2025, FedEx and PACCAR Inc. partnered with Aurora Innovation to bring autonomous freight operations to the Texas-Arizona market, creating one of the largest commercial networks of autonomous trucking networks in North America. This project presents the scenario of automation closing labor shortages with less delivery time and low operational expenses of up to 20 percent.
- Moreover, two major pilot programs (Daimler Truck North America and Waymo Via) are pioneering large-scale interstate highway pilot programs using sophisticated sensors and L4 automation to streamline logistics to large fleet operators. These partnerships highlight the strategic orientation of North America on autonomous freight transport commercialization before other regions of the world.
Autonomous Truck Market Ecosystem
The global autonomous truck market is moderately consolidated with Tier 1 and Tier 2 manufacturers Daimler AG, AB Volvo, PACCAR Inc, and Tesla controlling most of the technological development and commercial implementation and Tier 3 players in Autonomous Solutions Inc and Embark Trucks, Inc specializing in specific automation software and system integration. Tier 1 companies have the greatest market concentration owing to the high investments in R&D, developed supply chains as well as collaborations with logistics and AI technology companies. Medium-to-highly competitive intensity is manifested in the ecosystem, with the key players being able to use AI, LiDAR, radar, and cloud-based fleet management innovations to gain scalability.
Battery and powertrain production and autonomous software and sensor systems assembly can be considered the main nodes of the electric vehicle value chain in autonomous trucks. In March 2025, AB Volvo also collaborated with Aurora Innovation to commercially sell Level 4 autonomous electric trucks in North America, and they exhibited a synergy between electrification and automation in the value chain.
The North America autonomous truck market is the key area that enables the autonomous truck commercialization process and innovation to gain momentum because of strong industrial collaboration, the favorable policy framework, and digitization of logistics.
Recent Development and Strategic Overview:
- In April 2025, Daimler Truck AG provided Torc Robotics with a high-tech autonomous-ready truck platform, with redundant braking and steering systems. The intention of this partnership is to develop scalable, safe, reliable autonomous trucks and speed up the introduction of the technology to a commercial level in North America.
- In February 2025, the Volvo Autonomous Solutions collaborated with Waabi, a self-driving technology firm, to design and roll out autonomous trucks. This partnership combines the latest Waabi virtual driver technology with the VNL Autonomous propositions of Volvo, to deal with a lack of drivers and lower fleet and manufacturer expenses. In Texas, commercial pilots are scheduled in four years.
Report Scope
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Detail |
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Market Size in 2025 |
USD 0.5 Bn |
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Market Forecast Value in 2035 |
USD 2.3 Bn |
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Growth Rate (CAGR) |
17.1% |
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Forecast Period |
2025 – 2035 |
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Historical Data Available for |
2021 – 2024 |
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Market Size Units |
US$ Billion for Value Units for Volume |
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Report Format |
Electronic (PDF) + Excel |
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North America |
Europe |
Asia Pacific |
Middle East |
Africa |
South America |
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Companies Covered |
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Autonomous Truck Market Segmentation and Highlights
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Segment |
Sub-segment |
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Autonomous Truck Market, By Lease Type |
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Autonomous Truck Market, By ADAS Feature |
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Autonomous Truck Market, By Truck Class |
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Autonomous Truck Market, By Component |
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Autonomous Truck Market, By Propulsion |
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Autonomous Truck Market, By End Use Industry |
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Frequently Asked Questions
The global autonomous truck market was valued at USD 0.5 Bn in 2025.
The global autonomous truck market industry is expected to grow at a CAGR of 17.1% from 2025 to 2035.
The demand for autonomous trucks is primarily driven by rising e-commerce and freight volumes, persistent driver shortages, and the need for operational cost optimization. Advanced AI, LiDAR, and connected vehicle technologies enhance safety, route efficiency, and predictive maintenance. In 2025, collaborations like Aurora Innovation with FedEx and PACCAR demonstrate how automation reduces delivery times, labor dependency, and fuel costs, accelerating market adoption.
Automatic emergency braking (AEB) contributed to the largest share of the autonomous truck market business in 2025, as it is responsible and crucial to make the roads safer and avoid the risk of colliding as well as to meet the requirements of the new tighter regulations on the safety level.
The Canada is among the fastest-growing countries globally.
AB Volvo, Aptiv, Autonomous Solutions Inc., Caterpillar Inc., Continental AG, Daimler AG, Denso Corporation, Embark Trucks, Inc., Hitachi Ltd., Intel Corporation, Komatsu Corporation, NVIDIA Corporation, PACCAR, Inc., Qualcomm Technologies, Inc., Robert Bosch GmbH, Tesla Inc., Valeo SA, Waymo LLC, ZF Friedrichshafen AG, and Other Key Players.
Table of Contents
- 1. Research Methodology and Assumptions
- 1.1. Definitions
- 1.2. Research Design and Approach
- 1.3. Data Collection Methods
- 1.4. Base Estimates and Calculations
- 1.5. Forecasting Models
- 1.5.1. Key Forecast Factors & Impact Analysis
- 1.6. Secondary Research
- 1.6.1. Open Sources
- 1.6.2. Paid Databases
- 1.6.3. Associations
- 1.7. Primary Research
- 1.7.1. Primary Sources
- 1.7.2. Primary Interviews with Stakeholders across Ecosystem
- 2. Executive Summary
- 2.1. Global Autonomous Truck Market Outlook
- 2.1.1. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), and Forecasts, 2021-2035
- 2.1.2. Compounded Annual Growth Rate Analysis
- 2.1.3. Growth Opportunity Analysis
- 2.1.4. Segmental Share Analysis
- 2.1.5. Geographical Share Analysis
- 2.2. Market Analysis and Facts
- 2.3. Supply-Demand Analysis
- 2.4. Competitive Benchmarking
- 2.5. Go-to-Market Strategy
- 2.5.1. Customer/ End Use Industry Assessment
- 2.5.2. Growth Opportunity Data, 2025-2035
- 2.5.2.1. Regional Data
- 2.5.2.2. Country Data
- 2.5.2.3. Segmental Data
- 2.5.3. Identification of Potential Market Spaces
- 2.5.4. GAP Analysis
- 2.5.5. Potential Attractive Price Points
- 2.5.6. Prevailing Market Risks & Challenges
- 2.5.7. Preferred Sales & Marketing Strategies
- 2.5.8. Key Recommendations and Analysis
- 2.5.9. A Way Forward
- 2.1. Global Autonomous Truck Market Outlook
- 3. Industry Data and Premium Insights
- 3.1. Global Automotive & Transportation Overview, 2025
- 3.1.1. Industry Ecosystem Analysis
- 3.1.2. Key Trends for Automotive & Transportation Industry
- 3.1.3. Regional Distribution for Automotive & Transportation
- 3.2. Supplier Customer Data
- 3.3. Technology Roadmap and Developments
- 3.1. Global Automotive & Transportation Overview, 2025
- 4. Market Overview
- 4.1. Market Dynamics
- 4.1.1. Drivers
- 4.1.1.1. Increasing shortage of skilled truck drivers driving automation adoption.
- 4.1.1.2. Rising demand for cost-efficient and safe long-haul transportation solutions.
- 4.1.1.3. Advancements in AI, LiDAR, and sensor fusion technologies enhancing vehicle autonomy.
- 4.1.2. Restraints
- 4.1.2.1. High initial investment and regulatory complexities limiting large-scale deployment.
- 4.1.1. Drivers
- 4.2. Key Trend Analysis
- 4.3. Regulatory Framework
- 4.3.1. Key Regulations, Norms, and Subsidies, by Key Countries
- 4.3.2. Tariffs and Standards
- 4.3.3. Impact Analysis of Regulations on the Market
- 4.4. Value Chain Analysis/ Ecosystem Analysis
- 4.4.1. Component Suppliers
- 4.4.2. Technology Providers/ System Integrators
- 4.4.3. Autonomous Truck Manufacturers
- 4.4.4. Dealers and Distributors
- 4.4.5. End-users/ Customers
- 4.5. Cost Structure Analysis
- 4.5.1. Parameter’s Share for Cost Associated
- 4.5.2. COGP vs COGS
- 4.5.3. Profit Margin Analysis
- 4.6. Porter’s Five Forces Analysis
- 4.7. PESTEL Analysis
- 4.8. Global Autonomous Truck Market Demand
- 4.8.1. Historical Market Size - in Value (Volume - Units & Value - US$ Billion), 2021-2024
- 4.8.2. Current and Future Market Size - in Value (Volume - Units & Value - US$ Billion), 2025–2035
- 4.8.2.1. Y-o-Y Growth Trends
- 4.8.2.2. Absolute $ Opportunity Assessment
- 4.1. Market Dynamics
- 5. Competition Landscape
- 5.1. Competition structure
- 5.1.1. Fragmented v/s consolidated
- 5.2. Company Share Analysis, 2025
- 5.2.1. Global Company Market Share
- 5.2.2. By Region
- 5.2.2.1. North America
- 5.2.2.2. Europe
- 5.2.2.3. Asia Pacific
- 5.2.2.4. Middle East
- 5.2.2.5. Africa
- 5.2.2.6. South America
- 5.3. Product Comparison Matrix
- 5.3.1. Specifications
- 5.3.2. Market Positioning
- 5.3.3. Pricing
- 5.1. Competition structure
- 6. Global Autonomous Truck Market Analysis, by Level of Automation
- 6.1. Key Segment Analysis
- 6.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by Level of Automation, 2021-2035
- 6.2.1. Level 1
- 6.2.2. Level 2
- 6.2.3. Level 3
- 6.2.4. Level 4
- 6.2.5. Level 5
- 7. Global Autonomous Truck Market Analysis, by ADAS Feature
- 7.1. Key Segment Analysis
- 7.2. Autonomous Truck Market Size (Value - US$ Billion), Analysis, and Forecasts, by ADAS Feature, 2021-2035
- 7.2.1. Adaptive Cruise Control (ACC)
- 7.2.2. Automatic Emergency Braking (AEB)
- 7.2.3. Blind Spot Detection (BSD)
- 7.2.4. Intelligent Park Assist (IPA)
- 7.2.5. Lane Keep Assist (LKA)
- 7.2.6. Traffic Jam Assist (TJA)
- 7.2.7. Others
- 8. Global Autonomous Truck Market Analysis, by Truck Class
- 8.1. Key Segment Analysis
- 8.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by Truck Class, 2021-2035
- 8.2.1. Class 1 to Class 3 (Light Duty Truck)
- 8.2.2. Class 4 to Class 6 (Medium Duty Truck)
- 8.2.3. Class 7 & Class 8 (Heavy Duty Truck)
- 9. Global Autonomous Truck Market Analysis, by Component
- 9.1. Key Segment Analysis
- 9.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by Component, 2021-2035
- 9.2.1. LiDAR Sensors
- 9.2.2. RADAR Sensors
- 9.2.3. Cameras and Vision Systems
- 9.2.4. GPS and Navigation Systems
- 9.2.5. Control Units and Processors
- 9.2.6. Connectivity Modules
- 9.2.7. Others
- 10. Global Autonomous Truck Market Analysis, by Propulsion
- 10.1. Key Segment Analysis
- 10.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by Propulsion, 2021-2035
- 10.2.1. Diesel
- 10.2.2. Gasoline
- 10.2.3. Electric
- 10.2.4. Hybrid
- 11. Global Autonomous Truck Market Analysis, by End Use Industry
- 11.1. Key Segment Analysis
- 11.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by End Use Industry, 2021-2035
- 11.2.1. Retail and E-commerce
- 11.2.2. Manufacturing
- 11.2.3. Logistics and Transportation Services
- 11.2.4. Mining and Construction
- 11.2.5. Others
- 12. Global Autonomous Truck Market Analysis and Forecasts, by Region
- 12.1. Key Findings
- 12.2. Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, by Region, 2021-2035
- 12.2.1. North America
- 12.2.2. Europe
- 12.2.3. Asia Pacific
- 12.2.4. Middle East
- 12.2.5. Africa
- 12.2.6. South America
- 13. North America Autonomous Truck Market Analysis
- 13.1. Key Segment Analysis
- 13.2. Regional Snapshot
- 13.3. North America Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 13.3.1. Level of Automation
- 13.3.2. ADAS Feature
- 13.3.3. Truck Class
- 13.3.4. Component
- 13.3.5. Propulsion
- 13.3.6. End Use Industry
- 13.3.7. Country
- 13.3.7.1. USA
- 13.3.7.2. Canada
- 13.3.7.3. Mexico
- 13.4. USA Autonomous Truck Market
- 13.4.1. Country Segmental Analysis
- 13.4.2. Level of Automation
- 13.4.3. ADAS Feature
- 13.4.4. Truck Class
- 13.4.5. Component
- 13.4.6. Propulsion
- 13.4.7. End Use Industry
- 13.5. Canada Autonomous Truck Market
- 13.5.1. Country Segmental Analysis
- 13.5.2. Level of Automation
- 13.5.3. ADAS Feature
- 13.5.4. Truck Class
- 13.5.5. Component
- 13.5.6. Propulsion
- 13.5.7. End Use Industry
- 13.6. Mexico Autonomous Truck Market
- 13.6.1. Country Segmental Analysis
- 13.6.2. Level of Automation
- 13.6.3. ADAS Feature
- 13.6.4. Truck Class
- 13.6.5. Component
- 13.6.6. Propulsion
- 13.6.7. End Use Industry
- 14. Europe Autonomous Truck Market Analysis
- 14.1. Key Segment Analysis
- 14.2. Regional Snapshot
- 14.3. Europe Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 14.3.1. Level of Automation
- 14.3.2. ADAS Feature
- 14.3.3. Truck Class
- 14.3.4. Component
- 14.3.5. Propulsion
- 14.3.6. End Use Industry
- 14.3.7. Country
- 14.3.7.1. Germany
- 14.3.7.2. United Kingdom
- 14.3.7.3. France
- 14.3.7.4. Italy
- 14.3.7.5. Spain
- 14.3.7.6. Netherlands
- 14.3.7.7. Nordic Countries
- 14.3.7.8. Poland
- 14.3.7.9. Russia & CIS
- 14.3.7.10. Rest of Europe
- 14.4. Germany Autonomous Truck Market
- 14.4.1. Country Segmental Analysis
- 14.4.2. Level of Automation
- 14.4.3. ADAS Feature
- 14.4.4. Truck Class
- 14.4.5. Component
- 14.4.6. Propulsion
- 14.4.7. End Use Industry
- 14.5. United Kingdom Autonomous Truck Market
- 14.5.1. Country Segmental Analysis
- 14.5.2. Level of Automation
- 14.5.3. ADAS Feature
- 14.5.4. Truck Class
- 14.5.5. Component
- 14.5.6. Propulsion
- 14.5.7. End Use Industry
- 14.6. France Autonomous Truck Market
- 14.6.1. Country Segmental Analysis
- 14.6.2. Level of Automation
- 14.6.3. ADAS Feature
- 14.6.4. Truck Class
- 14.6.5. Component
- 14.6.6. Propulsion
- 14.6.7. End Use Industry
- 14.7. Italy Autonomous Truck Market
- 14.7.1. Country Segmental Analysis
- 14.7.2. Level of Automation
- 14.7.3. ADAS Feature
- 14.7.4. Truck Class
- 14.7.5. Component
- 14.7.6. Propulsion
- 14.7.7. End Use Industry
- 14.8. Spain Autonomous Truck Market
- 14.8.1. Country Segmental Analysis
- 14.8.2. Level of Automation
- 14.8.3. ADAS Feature
- 14.8.4. Truck Class
- 14.8.5. Component
- 14.8.6. Propulsion
- 14.8.7. End Use Industry
- 14.9. Netherlands Autonomous Truck Market
- 14.9.1. Country Segmental Analysis
- 14.9.2. Level of Automation
- 14.9.3. ADAS Feature
- 14.9.4. Truck Class
- 14.9.5. Component
- 14.9.6. Propulsion
- 14.9.7. End Use Industry
- 14.10. Nordic Countries Autonomous Truck Market
- 14.10.1. Country Segmental Analysis
- 14.10.2. Level of Automation
- 14.10.3. ADAS Feature
- 14.10.4. Truck Class
- 14.10.5. Component
- 14.10.6. Propulsion
- 14.10.7. End Use Industry
- 14.11. Poland Autonomous Truck Market
- 14.11.1. Country Segmental Analysis
- 14.11.2. Level of Automation
- 14.11.3. ADAS Feature
- 14.11.4. Truck Class
- 14.11.5. Component
- 14.11.6. Propulsion
- 14.11.7. End Use Industry
- 14.12. Russia & CIS Autonomous Truck Market
- 14.12.1. Country Segmental Analysis
- 14.12.2. Level of Automation
- 14.12.3. ADAS Feature
- 14.12.4. Truck Class
- 14.12.5. Component
- 14.12.6. Propulsion
- 14.12.7. End Use Industry
- 14.13. Rest of Europe Autonomous Truck Market
- 14.13.1. Country Segmental Analysis
- 14.13.2. Level of Automation
- 14.13.3. ADAS Feature
- 14.13.4. Truck Class
- 14.13.5. Component
- 14.13.6. Propulsion
- 14.13.7. End Use Industry
- 15. Asia Pacific Autonomous Truck Market Analysis
- 15.1. Key Segment Analysis
- 15.2. Regional Snapshot
- 15.3. East Asia Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 15.3.1. Level of Automation
- 15.3.2. ADAS Feature
- 15.3.3. Truck Class
- 15.3.4. Component
- 15.3.5. Propulsion
- 15.3.6. End Use Industry
- 15.3.7. Country
- 15.3.7.1. China
- 15.3.7.2. India
- 15.3.7.3. Japan
- 15.3.7.4. South Korea
- 15.3.7.5. Australia and New Zealand
- 15.3.7.6. Indonesia
- 15.3.7.7. Malaysia
- 15.3.7.8. Thailand
- 15.3.7.9. Vietnam
- 15.3.7.10. Rest of Asia Pacific
- 15.4. China Autonomous Truck Market
- 15.4.1. Country Segmental Analysis
- 15.4.2. Level of Automation
- 15.4.3. ADAS Feature
- 15.4.4. Truck Class
- 15.4.5. Component
- 15.4.6. Propulsion
- 15.4.7. End Use Industry
- 15.5. India Autonomous Truck Market
- 15.5.1. Country Segmental Analysis
- 15.5.2. Level of Automation
- 15.5.3. ADAS Feature
- 15.5.4. Truck Class
- 15.5.5. Component
- 15.5.6. Propulsion
- 15.5.7. End Use Industry
- 15.6. Japan Autonomous Truck Market
- 15.6.1. Country Segmental Analysis
- 15.6.2. Level of Automation
- 15.6.3. ADAS Feature
- 15.6.4. Truck Class
- 15.6.5. Component
- 15.6.6. Propulsion
- 15.6.7. End Use Industry
- 15.7. South Korea Autonomous Truck Market
- 15.7.1. Country Segmental Analysis
- 15.7.2. Level of Automation
- 15.7.3. ADAS Feature
- 15.7.4. Truck Class
- 15.7.5. Component
- 15.7.6. Propulsion
- 15.7.7. End Use Industry
- 15.8. Australia and New Zealand Autonomous Truck Market
- 15.8.1. Country Segmental Analysis
- 15.8.2. Level of Automation
- 15.8.3. ADAS Feature
- 15.8.4. Truck Class
- 15.8.5. Component
- 15.8.6. Propulsion
- 15.8.7. End Use Industry
- 15.9. Indonesia Autonomous Truck Market
- 15.9.1. Country Segmental Analysis
- 15.9.2. Level of Automation
- 15.9.3. ADAS Feature
- 15.9.4. Truck Class
- 15.9.5. Component
- 15.9.6. Propulsion
- 15.9.7. End Use Industry
- 15.10. Malaysia Autonomous Truck Market
- 15.10.1. Country Segmental Analysis
- 15.10.2. Level of Automation
- 15.10.3. ADAS Feature
- 15.10.4. Truck Class
- 15.10.5. Component
- 15.10.6. Propulsion
- 15.10.7. End Use Industry
- 15.11. Thailand Autonomous Truck Market
- 15.11.1. Country Segmental Analysis
- 15.11.2. Level of Automation
- 15.11.3. ADAS Feature
- 15.11.4. Truck Class
- 15.11.5. Component
- 15.11.6. Propulsion
- 15.11.7. End Use Industry
- 15.12. Vietnam Autonomous Truck Market
- 15.12.1. Country Segmental Analysis
- 15.12.2. Level of Automation
- 15.12.3. ADAS Feature
- 15.12.4. Truck Class
- 15.12.5. Component
- 15.12.6. Propulsion
- 15.12.7. End Use Industry
- 15.13. Rest of Asia Pacific Autonomous Truck Market
- 15.13.1. Country Segmental Analysis
- 15.13.2. Level of Automation
- 15.13.3. ADAS Feature
- 15.13.4. Truck Class
- 15.13.5. Component
- 15.13.6. Propulsion
- 15.13.7. End Use Industry
- 16. Middle East Autonomous Truck Market Analysis
- 16.1. Key Segment Analysis
- 16.2. Regional Snapshot
- 16.3. Middle East Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 16.3.1. Level of Automation
- 16.3.2. ADAS Feature
- 16.3.3. Truck Class
- 16.3.4. Component
- 16.3.5. Propulsion
- 16.3.6. End Use Industry
- 16.3.7. Country
- 16.3.7.1. Turkey
- 16.3.7.2. UAE
- 16.3.7.3. Saudi Arabia
- 16.3.7.4. Israel
- 16.3.7.5. Rest of Middle East
- 16.4. Turkey Autonomous Truck Market
- 16.4.1. Country Segmental Analysis
- 16.4.2. Level of Automation
- 16.4.3. ADAS Feature
- 16.4.4. Truck Class
- 16.4.5. Component
- 16.4.6. Propulsion
- 16.4.7. End Use Industry
- 16.5. UAE Autonomous Truck Market
- 16.5.1. Country Segmental Analysis
- 16.5.2. Level of Automation
- 16.5.3. ADAS Feature
- 16.5.4. Truck Class
- 16.5.5. Component
- 16.5.6. Propulsion
- 16.5.7. End Use Industry
- 16.6. Saudi Arabia Autonomous Truck Market
- 16.6.1. Country Segmental Analysis
- 16.6.2. Level of Automation
- 16.6.3. ADAS Feature
- 16.6.4. Truck Class
- 16.6.5. Component
- 16.6.6. Propulsion
- 16.6.7. End Use Industry
- 16.7. Israel Autonomous Truck Market
- 16.7.1. Country Segmental Analysis
- 16.7.2. Level of Automation
- 16.7.3. ADAS Feature
- 16.7.4. Truck Class
- 16.7.5. Component
- 16.7.6. Propulsion
- 16.7.7. End Use Industry
- 16.8. Rest of Middle East Autonomous Truck Market
- 16.8.1. Country Segmental Analysis
- 16.8.2. Level of Automation
- 16.8.3. ADAS Feature
- 16.8.4. Truck Class
- 16.8.5. Component
- 16.8.6. Propulsion
- 16.8.7. End Use Industry
- 17. Africa Autonomous Truck Market Analysis
- 17.1. Key Segment Analysis
- 17.2. Regional Snapshot
- 17.3. Africa Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 17.3.1. Level of Automation
- 17.3.2. ADAS Feature
- 17.3.3. Truck Class
- 17.3.4. Component
- 17.3.5. Propulsion
- 17.3.6. End Use Industry
- 17.3.7. Country
- 17.3.7.1. South Africa
- 17.3.7.2. Egypt
- 17.3.7.3. Nigeria
- 17.3.7.4. Algeria
- 17.3.7.5. Rest of Africa
- 17.4. South Africa Autonomous Truck Market
- 17.4.1. Country Segmental Analysis
- 17.4.2. Level of Automation
- 17.4.3. ADAS Feature
- 17.4.4. Truck Class
- 17.4.5. Component
- 17.4.6. Propulsion
- 17.4.7. End Use Industry
- 17.5. Egypt Autonomous Truck Market
- 17.5.1. Country Segmental Analysis
- 17.5.2. Level of Automation
- 17.5.3. ADAS Feature
- 17.5.4. Truck Class
- 17.5.5. Component
- 17.5.6. Propulsion
- 17.5.7. End Use Industry
- 17.6. Nigeria Autonomous Truck Market
- 17.6.1. Country Segmental Analysis
- 17.6.2. Level of Automation
- 17.6.3. ADAS Feature
- 17.6.4. Truck Class
- 17.6.5. Component
- 17.6.6. Propulsion
- 17.6.7. End Use Industry
- 17.7. Algeria Autonomous Truck Market
- 17.7.1. Country Segmental Analysis
- 17.7.2. Level of Automation
- 17.7.3. ADAS Feature
- 17.7.4. Truck Class
- 17.7.5. Component
- 17.7.6. Propulsion
- 17.7.7. End Use Industry
- 17.8. Rest of Africa Autonomous Truck Market
- 17.8.1. Country Segmental Analysis
- 17.8.2. Level of Automation
- 17.8.3. ADAS Feature
- 17.8.4. Truck Class
- 17.8.5. Component
- 17.8.6. Propulsion
- 17.8.7. End Use Industry
- 18. South America Autonomous Truck Market Analysis
- 18.1. Key Segment Analysis
- 18.2. Regional Snapshot
- 18.3. Central and South Africa Autonomous Truck Market Size (Volume - Units & Value - US$ Billion), Analysis, and Forecasts, 2021-2035
- 18.3.1. Level of Automation
- 18.3.2. ADAS Feature
- 18.3.3. Truck Class
- 18.3.4. Component
- 18.3.5. Propulsion
- 18.3.6. End Use Industry
- 18.3.7. Country
- 18.3.7.1. Brazil
- 18.3.7.2. Argentina
- 18.3.7.3. Rest of South America
- 18.4. Brazil Autonomous Truck Market
- 18.4.1. Country Segmental Analysis
- 18.4.2. Level of Automation
- 18.4.3. ADAS Feature
- 18.4.4. Truck Class
- 18.4.5. Component
- 18.4.6. Propulsion
- 18.4.7. End Use Industry
- 18.5. Argentina Autonomous Truck Market
- 18.5.1. Country Segmental Analysis
- 18.5.2. Level of Automation
- 18.5.3. ADAS Feature
- 18.5.4. Truck Class
- 18.5.5. Component
- 18.5.6. Propulsion
- 18.5.7. End Use Industry
- 18.6. Rest of South America Autonomous Truck Market
- 18.6.1. Country Segmental Analysis
- 18.6.2. Level of Automation
- 18.6.3. ADAS Feature
- 18.6.4. Truck Class
- 18.6.5. Component
- 18.6.6. Propulsion
- 18.6.7. End Use Industry
- 19. Key Players/ Company Profile
- 19.1. AB Volvo
- 19.1.1. Company Details/ Overview
- 19.1.2. Company Financials
- 19.1.3. Key Customers and Competitors
- 19.1.4. Business/ Industry Portfolio
- 19.1.5. Product Portfolio/ Specification Details
- 19.1.6. Pricing Data
- 19.1.7. Strategic Overview
- 19.1.8. Recent Developments
- 19.2. Aptiv
- 19.3. Autonomous Solutions Inc.
- 19.4. Caterpillar Inc.
- 19.5. Continental AG
- 19.6. Daimler AG
- 19.7. Denso Corporation
- 19.8. Embark Trucks, Inc.
- 19.9. Hitachi Ltd.
- 19.10. Intel Corporation
- 19.11. Komatsu Corporation
- 19.12. NVIDIA Corporation
- 19.13. PACCAR, Inc.
- 19.14. Qualcomm Technologies, Inc.
- 19.15. Robert Bosch GmbH
- 19.16. Tesla Inc.
- 19.17. Valeo SA
- 19.18. Waymo LLC
- 19.19. ZF Friedrichshafen AG
- 19.20. Other Key Players
- 19.1. AB Volvo
Note* - This is just tentative list of players. While providing the report, we will cover a greater number of players based on their revenue and share for each geography
Our research design integrates both demand-side and supply-side analysis through a balanced combination of primary and secondary research methodologies. By utilizing both bottom-up and top-down approaches alongside rigorous data triangulation methods, we deliver robust market intelligence that supports strategic decision-making.
MarketGenics' comprehensive research design framework ensures the delivery of accurate, reliable, and actionable market intelligence. Through the integration of multiple research approaches, rigorous validation processes, and expert analysis, we provide our clients with the insights needed to make informed strategic decisions and capitalize on market opportunities.
MarketGenics leverages a dedicated industry panel of experts and a comprehensive suite of paid databases to effectively collect, consolidate, and analyze market intelligence.
Our approach has consistently proven to be reliable and effective in generating accurate market insights, identifying key industry trends, and uncovering emerging business opportunities.
Through both primary and secondary research, we capture and analyze critical company-level data such as manufacturing footprints, including technical centers, R&D facilities, sales offices, and headquarters.
Our expert panel further enhances our ability to estimate market size for specific brands based on validated field-level intelligence.
Our data mining techniques incorporate both parametric and non-parametric methods, allowing for structured data collection, sorting, processing, and cleaning.
Demand projections are derived from large-scale data sets analyzed through proprietary algorithms, culminating in robust and reliable market sizing.
The bottom-up approach builds market estimates by starting with the smallest addressable market units and systematically aggregating them to create comprehensive market size projections.
This method begins with specific, granular data points and builds upward to create the complete market landscape.
Customer Analysis → Segmental Analysis → Geographical Analysis
The top-down approach starts with the broadest possible market data and systematically narrows it down through a series of filters and assumptions to arrive at specific market segments or opportunities.
This method begins with the big picture and works downward to increasingly specific market slices.
TAM → SAM → SOM
While analysing the market, we extensively study secondary sources, directories, and databases to identify and collect information useful for this technical, market-oriented, and commercial report. Secondary sources that we utilize are not only the public sources, but it is combination of Open Source, Associations, Paid Databases, MG Repository & Knowledgebase and Others.
- Company websites, annual reports, financial reports, broker reports, and investor presentations
- National government documents, statistical databases and reports
- News articles, press releases and web-casts specific to the companies operating in the market, Magazines, reports, and others
- We gather information from commercial data sources for deriving company specific data such as segmental revenue, share for geography, product revenue, and others
- Internal and external proprietary databases (industry-specific), relevant patent, and regulatory databases
- Governing Bodies, Government Organizations
- Relevant Authorities, Country-specific Associations for Industries
We also employ the model mapping approach to estimate the product level market data through the players product portfolio
Primary research/ interviews is vital in analyzing the market. Most of the cases involves paid primary interviews. Primary sources includes primary interviews through e-mail interactions, telephonic interviews, surveys as well as face-to-face interviews with the different stakeholders across the value chain including several industry experts.
| Type of Respondents | Number of Primaries |
|---|---|
| Tier 2/3 Suppliers | ~20 |
| Tier 1 Suppliers | ~25 |
| End-users | ~25 |
| Industry Expert/ Panel/ Consultant | ~30 |
| Total | ~100 |
MG Knowledgebase
• Repository of industry blog, newsletter and case studies
• Online platform covering detailed market reports, and company profiles
- Historical Trends – Past market patterns, cycles, and major events that shaped how markets behave over time. Understanding past trends helps predict future behavior.
- Industry Factors – Specific characteristics of the industry like structure, regulations, and innovation cycles that affect market dynamics.
- Macroeconomic Factors – Economic conditions like GDP growth, inflation, and employment rates that affect how much money people have to spend.
- Demographic Factors – Population characteristics like age, income, and location that determine who can buy your product.
- Technology Factors – How quickly people adopt new technology and how much technology infrastructure exists.
- Regulatory Factors – Government rules, laws, and policies that can help or restrict market growth.
- Competitive Factors – Analyzing competition structure such as degree of competition and bargaining power of buyers and suppliers.
Multiple Regression Analysis
- Identify and quantify factors that drive market changes
- Statistical modeling to establish relationships between market drivers and outcomes
Time Series Analysis – Seasonal Patterns
- Understand regular cyclical patterns in market demand
- Advanced statistical techniques to separate trend, seasonal, and irregular components
Time Series Analysis – Trend Analysis
- Identify underlying market growth patterns and momentum
- Statistical analysis of historical data to project future trends
Expert Opinion – Expert Interviews
- Gather deep industry insights and contextual understanding
- In-depth interviews with key industry stakeholders
Multi-Scenario Development
- Prepare for uncertainty by modeling different possible futures
- Creating optimistic, pessimistic, and most likely scenarios
Time Series Analysis – Moving Averages
- Sophisticated forecasting for complex time series data
- Auto-regressive integrated moving average models with seasonal components
Econometric Models
- Apply economic theory to market forecasting
- Sophisticated economic models that account for market interactions
Expert Opinion – Delphi Method
- Harness collective wisdom of industry experts
- Structured, multi-round expert consultation process
Monte Carlo Simulation
- Quantify uncertainty and probability distributions
- Thousands of simulations with varying input parameters
Our research framework is built upon the fundamental principle of validating market intelligence from both demand and supply perspectives. This dual-sided approach ensures comprehensive market understanding and reduces the risk of single-source bias.
Demand-Side Analysis: We understand end-user/application behavior, preferences, and market needs along with the penetration of the product for specific application.
Supply-Side Analysis: We estimate overall market revenue, analyze the segmental share along with industry capacity, competitive landscape, and market structure.
Data triangulation is a validation technique that uses multiple methods, sources, or perspectives to examine the same research question, thereby increasing the credibility and reliability of research findings. In market research, triangulation serves as a quality assurance mechanism that helps identify and minimize bias, validate assumptions, and ensure accuracy in market estimates.
- Data Source Triangulation – Using multiple data sources to examine the same phenomenon
- Methodological Triangulation – Using multiple research methods to study the same research question
- Investigator Triangulation – Using multiple researchers or analysts to examine the same data
- Theoretical Triangulation – Using multiple theoretical perspectives to interpret the same data
