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Autonomous Trucks Market by Vehicle Type (Buses, Trucks), LOA (L1, L2&L3, L4, L5), ADAS Features (ACC, AEB, BSD, IPA, TJA, LKA, HP), Vehicle Class (Class 1-3, 4-6, 7-8), Propulsion Type, Application, Sensor Type, and Region Global Forecast To 2035..., Market Research Report: MarketsandMarkets
Дата публикации: 30-06-2026 00:00:00
Основное содержимое страницы с новостью.
Autonomous Trucks Market by Vehicle Type (Buses, Trucks), LOA (L1, L2&L3, L4, L5), ADAS Features (ACC, AEB, BSD, IPA, TJA, LKA, HP), Vehicle Class (Class 1-3, 4-6, 7-8), Propulsion Type, Application, Sensor Type, and Region Global Forecast To 2035
USD 158.69 BN
MARKET SIZE, 2035
OVERVIEW
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
The autonomous trucks market is projected to grow from USD 50.82 billion in 2026 to USD 158.69 billion by 2035, at a CAGR of 13.5%. The market encompasses a broad range of technologies and vehicle automation levels, ranging from advanced driver assistance systems (ADAS) and semi-autonomous trucks and buses to highly automated commercial vehicles. Market growth is being supported by increasing integration of LiDAR, radar, cameras, high-performance computing platforms, telematics, and AI-based driving software across truck and bus fleets. While Level 2 and Level 3 systems currently account for a significant share of deployments due to their safety, fuel efficiency, and driver assistance benefits, investments in Level 4 autonomous trucks and buses are expanding use cases across freight corridors, ports, logistics hubs, mining operations, and public transit routes. Commercial vehicle OEMs are collaborating with autonomous technology developers, sensor manufacturers, and fleet operators to integrate autonomous capabilities into production platforms. As regulations mature and validation programs expand, the market is expected to progress from assisted and supervised driving systems toward higher levels of autonomy across freight transportation and passenger mobility applications.
Autonomous Trucks Market Size and Forecast:
- Market Size Value in 2025: USD 42.72 Billion
- Market Size Value in 2026: USD 50.82 Billion
- Revenue Forecast in 2035: USD 158.69 Billion
- Growth Rate: CAGR of 13.5% from 2026 to 2035
- Data available from 2021 to 2035
- Base year: 2025
- Forecast period: 2026–2035
Key Market Trends and Insights
- Market Growth: Growth is driven by increasing demand for safer public transportation, government support for intelligent mobility, and the integration of advanced driver assistance systems (ADAS).
-
AI Impact: Artificial intelligence and sensor fusion technologies are improving vehicle perception, obstacle detection, and real-time driving decisions, accelerating the adoption of semi-autonomous buses.
- Growing Trends: Key trends include V2X connectivity, deployment of Level 2 and Level 3 autonomous buses, smart city initiatives, and electrification of public transit fleets.
- Growth Opportunities: Opportunities lie in autonomous public transport pilots, AI-powered fleet management, connected infrastructure, and expanding smart mobility projects in emerging economies.
KEY TAKEAWAYS
-
By Region
Asia Pacific is expected to lead the autonomous trucks market during the forecast period.
-
By Level of Autonomy
The L1 segment is estimated to dominate the autonomous trucks market with a share of 79.6% in 2026.
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By Application
The last mile mobility trucks segment is projected to experience the highest growth rate during the forecast period.
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By Vehicle Class
The class 1-3 segment is projected to exhibit the highest CAGR of 19.7% from 2026 to 2035.
-
By Sensor Type
The LiDAR segment is projected to register the highest CAGR of 40.6% during the forecast period.
-
By Propulsion Type
The electric segment is projected to experience the highest growth rate during the forecast period.
-
COMPETITIVE LANDSCAPE (KEY PLAYERS)
The autonomous trucks market is led by key players such as AB Volvo (Sweden), Daimler Truck AG (Germany), MAN Truck & Bus SE (Germany), IVECO S.p.A. (Italy), PACCAR Inc. (US), Hyundai Motor Corporation (South Korea), Aurora Innovation Inc. (US), and NVIDIA Corporation (US). These companies are strengthening their market positions through autonomous driving technology development, strategic partnerships, pilot deployments, software integration, and commercialization initiatives aimed at improving freight efficiency and accelerating the adoption of autonomous trucking.
-
COMPETITIVE LANDSCAPE (STARTUPS/SMES)
The market also includes companies such as Yutong Bus Co., Ltd. (China), Karsan (Türkiye), Xiamen King Long United Automotive Industry Co., Ltd. (China), Einride (Sweden), WeRide (China), Isuzu Motors (Japan), SenseTime (China), EasyMile (France), Scania (Sweden), ZF Friedrichshafen AG (Germany), Uisee (China), and Coast Autonomous (US). These players are focusing on AI-driven autonomous systems, sensor technologies, vehicle computing platforms, and collaborative ecosystem development through product innovations, technology partnerships, and expansions of autonomous freight operations.
The autonomous trucks market is gaining momentum as logistics operators seek to improve freight efficiency, reduce operating costs, and address persistent driver shortages. Commercial deployment is shifting from pilot programs to revenue-generating operations, particularly on hub-to-hub and long-haul routes where predictable driving conditions support scalable autonomy. Advances in AI, sensor fusion, and high-performance computing, combined with strategic partnerships between truck manufacturers, technology providers, and fleet operators, are accelerating commercialization. At the same time, investments in digital freight corridors, remote fleet management, and autonomous logistics infrastructure are strengthening the adoption of autonomous trucking across global supply chains.
TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS
The autonomous trucks market is evolving from hardware-based revenue streams toward software-enabled transportation and fleet operation models. Current revenues are primarily generated through ADAS, Level 2, and Level 3 automated driving systems, sensors, vehicle integration, telematics, and connectivity solutions deployed across autonomous trucks and buses. As autonomous technologies mature, new revenue opportunities are expected from Level 4 autonomous trucking and bus platforms, fleet orchestration software, HD mapping, remote operations, and autonomous transportation services. This transition is strengthening collaboration among commercial vehicle OEMs, autonomous technology developers, Tier 1 suppliers, and fleet operators to support the deployment of autonomous trucks for freight transportation and autonomous buses for public transit operations. The shift toward higher levels of automation is expected to improve fleet utilization, road safety, transportation efficiency, and overall mobility productivity.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
MARKET DYNAMICS
-
Cybersecurity and data security concerns
OPPORTUNITIES
Impact
Level
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Growing emphasis on road safety and stricter traffic regulations is encouraging the adoption of autonomous trucks. Advanced sensing and automated driving systems help reduce human error, improve compliance with traffic rules, and enhance overall freight safety, supporting wider deployment across commercial fleets.
Autonomous trucks rely on software-defined architectures, cloud connectivity, and real-time data exchange, increasing exposure to cybersecurity risks. Concerns regarding unauthorized access, system disruptions, and data breaches continue to influence fleet operators' deployment decisions and remain a key restraint on large-scale adoption.
The expansion of 5G networks is enhancing real-time communication between autonomous trucks, fleet management platforms, and transportation infrastructure. Improved connectivity supports remote monitoring, over-the-air software updates, and low-latency data transmission, creating favorable conditions for large-scale autonomous fleet operations.
Autonomous trucks require significant investments in sensors, computing systems, software development, validation, and fleet integration. Despite technological progress, achieving cost-effective deployment at scale remains a major challenge for manufacturers, technology providers, and fleet operators.
AUTONOMOUS TRUCKS MARKET SIZE, SHARE & ANALYSIS: COMMERCIAL USE CASES ACROSS INDUSTRIES
| COMPANY | USE CASE DESCRIPTION | BENEFITS |
|---|---|---|
|
|
Autonomous hub-to-hub freight transportation using autonomous heavy-duty trucks on dedicated logistics corridors and highway routes. | Reduces driver dependency, improves fleet utilization, lowers operating costs, and enables 24/7 freight movement. |
|
|
Long-haul autonomous freight transportation through autonomous truck platforms developed with technology partners such as Torc Robotics. | Addresses driver shortages, improves route efficiency, and supports continuous freight operations. |
|
|
Truck platooning and connected freight operations for highway logistics and fleet optimization. | Reduces fuel consumption, improves traffic flow, and lowers fleet operating expenses. |
|
|
Autonomous long-haul freight transportation through collaborations with autonomous driving technology providers. | Supports efficient freight movement, reduces driver workload, and improves logistics productivity. |
|
|
Autonomous freight operations through advanced driver assistance and autonomous-ready platforms for Kenworth and Peterbilt trucks. | Improves safety, reduces operating costs, and supports scalable autonomous fleet deployment. |
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET ECOSYSTEM
In the autonomous trucks market ecosystem, component providers supply critical technologies such as semiconductors, sensors, LiDAR, radar, cameras, high-performance computing platforms, software, and control systems that enable autonomous driving and advanced safety functions. Leading Tier 1 suppliers, including Robert Bosch GmbH (Germany), Denso Corporation (Japan), Continental AG (Germany), ZF Friedrichshafen AG (Germany), and Valeo (France), play a pivotal role in integrating these technologies into commercial truck platforms through partnerships with OEMs and autonomous technology developers. In addition, software and AI companies provide perception, localization, decision-making, and fleet management solutions that support higher levels of vehicle autonomy. Collaboration across hardware, software, and vehicle manufacturers is accelerating the commercialization and deployment of autonomous trucks across freight and logistics applications.
Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.
MARKET SEGMENTS
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
Last-mile delivery trucks are expected to account for the largest market share due to predictable urban routes, high delivery frequency, and faster return on investment from automation. Growing e-commerce activity and fleet optimization initiatives are accelerating adoption in this segment. For example, in January 2026, Gatik expanded its autonomous freight operations across North America, reinforcing the commercial deployment of autonomous delivery solutions.
Level 1 autonomy is expected to hold the largest market share as it offers an economical path toward automation through widely adopted driver assistance features. Its regulatory acceptance, lower integration complexity, and compatibility with existing commercial fleets continue to support large-scale deployment. In March 2026, Daimler Truck and Volvo expanded advanced driver assistance capabilities across their commercial vehicle portfolios, strengthening the adoption of Level 1 technologies.
Diesel-powered trucks are expected to account for the largest market share due to their established refueling infrastructure, high payload capability, and suitability for long-haul freight operations. Fleet operators continue to prioritize diesel platforms for early autonomous deployment because of their proven reliability and operational readiness. In April 2025, Aurora launched commercial driverless freight operations in Texas using diesel-powered Class 8 trucks, reinforcing this trend.
The LiDAR segment is estimated to hold the largest market share as it enables accurate three-dimensional perception, object detection, and localization, all of which are critical for autonomous truck operations. Its ability to support safe navigation in complex driving environments makes LiDAR the preferred sensing technology for commercial deployment. In May 2026, companies including Aurora and Kodiak Robotics continued expanding their LiDAR-equipped autonomous trucking operations, highlighting the technology's central role in Level 4 freight applications.
Class 7-8 trucks are estimated to account for the largest market share due to their dominant role in long-haul freight, regional logistics, and high-volume commercial transportation. Their high asset utilization and operation on predictable freight corridors make them ideal candidates for autonomous deployment. In January 2025, Isuzu Motors and Gatik announced plans to deploy autonomous Class 7 trucks for middle-mile logistics, while Aurora launched commercial driverless Class 8 freight operations in May 2025, reinforcing the segment's market leadership.
REGION
Asia Pacific to be largest market for autonomous trucks during forecast period
Asia Pacific is estimated to account for the largest share of the autonomous trucks market due to its expanding logistics sector, large commercial vehicle fleet, and strong investments in freight automation. The region is also accelerating autonomous truck deployment across ports and industrial hubs to improve operational efficiency and cargo movement. For example, in April 2026, Hong Kong Marine Port introduced a fleet of autonomous trucks to support smarter container transportation and logistics operations, highlighting the region's increasing focus on commercial autonomous freight solutions. These developments, along with supportive government initiatives and growing OEM investments, are expected to reinforce Asia Pacific's market leadership throughout the forecast period.
AUTONOMOUS TRUCKS MARKET SIZE, SHARE & ANALYSIS: COMPANY EVALUATION MATRIX
In the autonomous trucks market matrix, AB Volvo (Star) leads with a strong combination of commercial vehicle expertise, autonomous technology partnerships, and expanding deployment of autonomous freight solutions. The company is strengthening its market position through collaborations with autonomous driving developers, integration of autonomous capabilities into its truck platforms, and investments in scalable freight transportation solutions. Daimler Truck AG (Emerging Leader) is gaining momentum through the advancement of its autonomous trucking strategy, particularly through its partnership with Torc Robotics and focus on Level 4 autonomous freight operations. The company demonstrates strong growth potential through ongoing technology development, expanding pilot and commercial programs, and increasing investments aimed at accelerating large-scale deployment across key freight corridors.
Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis
KEY MARKET PLAYERS
MARKET SCOPE
| REPORT METRIC | DETAILS |
|---|---|
| Market Size in 2026 (Value) | USD 50.82 BN |
| Market Forecast in 2035 (Value) | USD 158.69 BN |
| Growth Rate | CAGR of 13.5% from 2026 to 2035 |
| Years Considered | 2022–2035 |
| Base Year | 2025 |
| Forecast Period | 2026–2035 |
| Units Considered | Value (USD Million/Billion), Volume (Thousand Units) |
| Report Coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments Covered |
|
| Regions Covered | Asia Pacific, Europe, North America, Rest of the World |
WHAT IS IN IT FOR YOU: AUTONOMOUS TRUCKS MARKET SIZE, SHARE & ANALYSIS REPORT CONTENT GUIDE
DELIVERED CUSTOMIZATIONS
We have successfully delivered the following deep-dive customizations:
| CLIENT REQUEST | CUSTOMIZATION DELIVERED | VALUE ADDS |
|---|---|---|
| Global Logistics & Freight Company | Evaluation of autonomous trucking deployment across long-haul freight corridors, hub-to-hub routes, fleet automation strategies, and operational readiness requirements | Reduce transportation costs, improve asset utilization, address driver shortages, and enhance freight network efficiency |
| Commercial Vehicle Manufacturer | Competitive assessment of autonomous driving technologies, vehicle platforms, software capabilities, and commercialization strategies | Strengthen product roadmap, identify technology gaps, accelerate innovation, and improve competitive positioning |
| Fleet Management & Mobility Company | Analysis of autonomous fleet operations, telematics integration, remote monitoring capabilities, and fleet scaling requirements | Improve fleet productivity, enhance operational visibility, optimize route planning, and support autonomous fleet expansion |
| Port, Mining & Industrial Operator | Assessment of autonomous truck deployment across ports, mining sites, and closed-loop industrial environments, including infrastructure and operational requirements | Increase operational safety, reduce labor dependency, improve material movement efficiency, and enable round-the-clock operations |
| Investment & Financial Services Firm | Analysis of autonomous trucking technology providers, commercialization progress, market opportunities, and competitive ecosystem | Identify high-growth investment opportunities, evaluate technology maturity, reduce investment risks, and support strategic decision-making |
RECENT DEVELOPMENTS
- June 2026 : PepsiCo (US) and Gatik (US) announced a multi-year agreement to deploy autonomous freight operations across North America. The partnership aims to expand the use of autonomous trucks within PepsiCo's supply chain, improving transportation efficiency and supporting the commercialization of driverless middle-mile logistics.
- May 2026 : Aurora Innovation Inc. (US) and McLane Company (US) announced a partnership to deploy autonomous trucks within the US restaurant supply chain. The collaboration aims to integrate self-driving freight operations into McLane's logistics network, supporting more efficient and reliable long-haul goods transportation.
- May 2026 : AB Volvo (Sweden) and Aurora Innovation Inc. (US) announced the launch of autonomous truck operations on a new route connecting Dallas, Texas, and Oklahoma City, Oklahoma. The expansion strengthens their commercial driverless freight network and supports the broader deployment of autonomous trucking for long-haul logistics in the US.
- January 2026 : IVECO (Italy) and PlusAI (US) announced the launch of a new Level 4 autonomous driving programme in Spain to accelerate the development and validation of autonomous trucks for commercial freight applications. The collaboration supports on-road testing and advances the commercialization of autonomous heavy-duty vehicles in Europe.
- January 2026 : TRATON Group (Germany) and Plus (US) expanded their global partnership to accelerate the commercialization of autonomous trucks for highway freight operations. The collaboration focuses on integrating Plus's virtual driver technology into TRATON's commercial vehicle brands, supporting the large-scale deployment of Level 4 autonomous trucking solutions.
- December 2025 : Daimler Truck (Germany) and Torc Robotics (US) partnered with Innoviz Technologies (Israel) as the LiDAR supplier for the series production of Level 4 autonomous trucks. The partnership supports the commercialization of autonomous freight vehicles by integrating high-performance LiDAR technology into Daimler Truck's planned driverless truck platform.
Table of Contents
Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.
4
MARKET OVERVIEW
Provides a snapshot of current market scenario, value chain context, and factors impacting competitive intensity.4.2
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
4.4.1
AVERAGE SELLING PRICE TRENDS OF KEY PLAYERS, SENSOR TYPE
4.4.2
AVERAGE SELLING PRICE TRENDS, BY REGION
4.8
INVESTMENT AND FUNDING SCENARIO
4.10
TOTAL COST OF OWNERSHIP ANALYSIS
4.11
BILL OF MATERIAL ANALYSIS
4.12.2
COMPLEMENTARY TECHNOLOGIES
4.12.3
ADJACENT TECHNOLOGIES
4.13
REGULATORY LANDSCAPE
4.13.1
LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
4.15
KEY CONFERENCES AND EVENTS IN 2026–2027
4.16
KEY STAKEHOLDERS AND BUYING CRITERIA
4.16.1
KEY STAKEHOLDERS IN BUYING PROCESS
5
AUTONOMOUS TRUCK MARKET, BY ADAS FEATURE
Market Size, Volume & Forecast – USD Million5.2
ADAPTIVE CRUISE CONTROL (ACC)
5.3
AUTOMATIC EMERGENCY BRAKING (AEB)
5.4
BLIND SPOT DETECTION (BSD)
5.5
INTELLIGENT PARK ASSIST (IPA)
5.6
LANE KEEP ASSIST (LKA)
5.7
TRAFFIC JAM ASSIST (TJA)
6
AUTONOMOUS TRUCK MARKET, BY LEVEL OF AUTONOMY
Market Size, Volume & Forecast – USD MillionNOTE: MNM WILL PROVIDE THE MARKET SIZE IN TERMS OF VALUE AT THE REGIONAL LEVEL
7
AUTONOMOUS TRUCK MARKET, BY PROPULSION TYPE
Market Size, Volume & Forecast – USD MillionNOTE: MNM WILL PROVIDE THE MARKET SIZE IN TERMS OF VOLUME AND VALUE AT THE REGIONAL LEVEL
8
AUTONOMOUS TRUCK MARKET, BY SENSOR TYPE
Market Size, Volume & Forecast – USD MillionNOTE: MNM WILL PROVIDE THE MARKET SIZE IN TERMS OF VOLUME AND VALUE AT THE REGIONAL LEVEL
9
AUTONOMOUS TRUCK MARKET, BY APPLICATION
Market Size, Volume & Forecast – USD Million9.2
LAST-MILE DELIVERY TRUCKS
10
AUTONOMOUS TRUCK MARKET, BY VEHICLE TYPE
Market Size, Volume & Forecast – USD Million10.4
KEY PRIMARY INSIGHTS
11
AUTONOMOUS TRUCK MARKET, BY VEHICLE CLASS
Market Size, Volume & Forecast – USD Million11.2
CLASS 1–3 (LIGHT-DUTY TRUCKS)
11.3
CLASS 4–6 (MEDIUM-DUTY TRUCKS)
11.5
KEY PRIMARY INSIGHTS
NOTE: MNM WILL PROVIDE THE MARKET SIZE IN TERMS OF VOLUME AND VALUE AT THE REGIONAL LEVEL
12
AUTONOMOUS TRUCK MARKET, BY REGION
Market Size, Volume & Forecast – USD Million13.2
KEY PLAYER STRATEGIES/RIGHT TO WIN
13.3
MARKET SHARE ANALYSIS,
13.4
COMPANY VALUATION AND FINANCIAL METRICS
13.5
REVENUE ANALYSIS, 2021–2025
13.6
BRAND/PRODUCT COMPARISON
13.7
COMPANY EVALUATION MATRIX: KEY PLAYERS,
13.7.5
COMPANY FOOTPRINT: KEY PLAYERS,
13.7.5.1
REGIONAL FOOTPRINT
13.7.5.2
VEHICLE TYPE FOOTPRINT
13.7.5.3
LEVEL OF AUTONOMY FOOTPRINT
13.7.5.4
SENSOR TYPE FOOTPRINT
13.7.5.5
APPLICATION FOOTPRINT
13.7.5.6
PROPULSION TYPE FOOTPRINT
13.7.5.7
ADAS FEATURE FOOTPRINT
13.8
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
13.8.1
PROGRESSIVE COMPANIES
13.8.2
RESPONSIVE COMPANIES
13.8.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
13.8.5.1
DETAIL LIST OF KEY STARTUPS/SMES
13.8.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
13.9
COMPETITIVE SCENARIO
13.9.4
OTHER DEVELOPMENTS
NOTE: REVENUE ANALYSIS WILL BE PROVIDED ONLY FOR PUBLICLY LISTED COMPANIES
(BUSINESS OVERVIEW, PRODUCTS OFFERED, MNM VIEW AND RECENT DEVELOPMENTS)*
14.1.1.1
BUSINESS OVERVIEW
14.1.1.2
PRODUCTS/SOLUTIONS/SERVICES OFFERED
14.1.3
MAN TRUCK & BUS SE
14.1.6
HYUNDAI MOTOR CORPORATION
14.1.7
AURORA INNOVATION INC.
14.1.8
NVIDIA CORPORATION
14.1.11
KODIAK ROBOTICS INC.
14.2.1
YUTONG BUS CO., LTD.
14.2.3
XIAMEN KING LONG UNITED AUTOMOTIVE INDUSTRY CO., LTD.
14.2.10
ZF FRIEDRICHSHAFEN AG
14.2.13
NAVISTAR INTERNATIONAL INC.
14.2.14
TUSIMPLE HOLDINGS INC.
14.2.15
ALEXANDER DENNIS LIMITED
14.2.16
TOYOTA MOTOR CORPORATION
14.2.18
ROBERT BOSCH GMBH
*MNM VIEW WILL BE PROVIDED FOR THE TOP 5 PLAYERS IN KEY PLAYERS. FINANCIALS WOULD BE PROVIDED FOR LISTED COMPANIES OR, AS PER DATA AVAILABILITY.
*COMPANY NAME MAY VARY DURING THE REPORT STUDY OR UPON CLIENT REQUEST
15.1.1.1
KEY SECONDARY SOURCES
15.1.1.2
KEY DATA FROM SECONDARY SOURCES
15.1.2.1
LIST OF PRIMARY PARTICIPANTS
15.2
MARKET SIZE ESTIMATION
15.2.1
BOTTOM-UP APPROACH
15.5
RESEARCH ASSUMPTIONS
15.6
RESEARCH LIMITATIONS
Methodology
This study involved four major activities in estimating the current size of the autonomous trucks market. Exhaustive secondary research was done to collect information on the market, the peer market, and the child markets. The next step was to validate these findings and assumptions and size them with industry experts across value chains through primary research. The top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation processes were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources such as company annual reports/presentations, press releases, industry association publications [for example, European Alternative Fuels Observatory (EAFO), European Automobile Manufacturers' Association (ACEA), China Association of Automobile Manufacturers (CAAM), International Organization of Motor Vehicle Manufacturers (OICA), Electrical Vehicle Charging Association (EVCA), National Highway Traffic Safety Administration (NHTSA), International Energy Association (IEA)], articles, directories, technical handbooks, trade websites, technical articles, and databases (for example, Marklines, and Factiva) were used to identify and collect information useful for an extensive commercial study of the autonomous trucks market.
Primary Research
Extensive primary research was conducted after acquiring an understanding of the autonomous trucks market scenario through secondary research. Several primary interviews were conducted with market experts from both the demand (OEMs) and supply sides (autonomous truck manufacturers, service providers, and component manufacturers) across major regions: North America, Europe, Asia Pacific, and the Rest of the World. Approximately 24% and 76% of primary interviews were conducted from the demand and supply sides, respectively. Primary data was collected through questionnaires, emails, and telephonic interviews.
In the canvassing of primaries, various departments within organizations, such as sales, operations, and marketing, were covered to provide a holistic viewpoint in the report. After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from primaries. This, along with in-house subject matter experts’ opinions, led to the findings described in the remainder of this report.
Note: Three tiers of companies are defined based on their total revenue for the year ended 31st December 2025; Tier 1 companies’ revenues are more than USD 1 billion; Tier 2 companies’ revenues range between USD 1 billion and 500 million; and Tier 3 companies’ revenues range less than USD 500 million
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
Data Triangulation
After arriving at the overall market size—using the market size estimation processes as explained above—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Market Definition
Autonomous trucks are commercial vehicles equipped with advanced technologies such as sensors, cameras, radar, LiDAR, artificial intelligence (AI), and autonomous driving software that enable them to operate with limited or no human intervention. These vehicles are primarily used for freight transportation and logistics applications to improve operational efficiency, reduce transportation costs, and enhance road safety. Autonomous trucks can function at different automation levels, ranging from driver-assistance systems to fully driverless operations. They are increasingly being deployed across long-haul, middle-mile, and hub-to-hub freight routes and can be integrated with electric powertrains, connected vehicle systems, and smart logistics networks to support the future of autonomous transportation.
Key Stakeholders
- Automobile Original Equipment Manufacturers (OEMs)
- Automotive Insurance Providers
- Automobile Industry (End-use Industries and Regional Automobile Associations)
- Cybersecurity Providers for Autonomous Trucks
- Legal and Regulatory Authorities
- Manufacturers of Autonomous Trucks
- Manufacturers of Autonomous Truck Components
- Raw Material Suppliers
- Sensor Manufacturers
- Software Providers
- Traders, Distributors, and Suppliers
Report Objectives
- To define, describe, and forecast the autonomous trucks market based on ADAS Feature, Application, Vehicle Type, Level of Autonomy, Vehicle Class, Propulsion Type, Sensor Type, and region
- To segment and forecast the market size by volume (thousand units) based on application (Last-mile Delivery Trucks, Mining Trucks, Shuttles, and Intercity/Intracity Trucks)
- To provide qualitative insights on ADAS features [Adaptive Cruise Control (ACC), Automatic Emergency Braking (AEB), Blind Spot Detection (BSD), Lane Keep Assist (LKA), Intelligent Park Assist (IPA), Traffic Jam Assist (TJA), Highway Pilot (HP)]
- To segment and forecast the market size by volume (thousand units) based on level of autonomy (L1, L2 & L3, L4, and L5)
- To segment and forecast the market size by volume (thousand units) based on propulsion type (Diesel, Electric, and Hybrid)
- To segment and forecast the market size by volume (thousand units) based on sensor type (Camera, Radar, LiDAR, and Ultrasonic)
- To segment and forecast the market size by volume (thousand units) based on vehicle class (Class 1–Class 3, Class 4–Class 6, Class 7–Class 8)
-
To segment and forecast the market size by volume (thousand units) and value
(USD million) based on vehicle type (Trucks) - To segment and forecast the market size by volume (thousand units) based on region [North America, Europe, Asia Pacific, and Rest of the World (RoW)]
- To provide detailed information regarding the major factors influencing the market growth (drivers, challenges, restraints, and opportunities)
- To strategically analyze the market with respect to individual growth trends, prospects, and contributions to the total market
- To study the following with respect to the market
- Value Chain Analysis
- Ecosystem Analysis
- Technology Analysis
- Case Study Analysis
- Patent Analysis
- Regulatory Landscape
- Average Selling Price Analysis
- Buying Criteria
- Impact of AI
- Investment and Funding Scenario
- Trends and Disruptions impacting Customer Business
- Bill of Materials
- Evolution of Autonomous Trucks
- Opportunities for Autonomous Trucks
- Future of Autonomous Trucks
- Key Stakeholders and Buying Criteria
- Performance Indicators for Autonomous Trucks
- Power Booster for Autonomous Trucks
- To strategically profile key players and comprehensively analyze their market shares and core competencies
- To track and analyze competitive developments such as deals, product developments, and other activities carried out by key industry participants
Available customizations:
With the given market data, MarketsandMarkets offers customizations in line with company-specific needs.
- Further breakdown for the autonomous trucks market, by propulsion type, at the country level (for countries not covered in the report)
- Further breakdown of the autonomous trucks market, by sensor type, at the country level (for countries not covered in the report)
COMPANY INFORMATION
- Profiles of additional market players (up to five)
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- Get Data as per your Format and Definition
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- Any level of Personalization
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JIM NAAS
PRODUCT DIRECTOR, WEASLER
Weasler Engineering, a CentroMotion organization
Global Provider of Industrial Actuation & Control Solutions
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Vice President
Aptiv,
A global technology company that develops safer, greener and more connected solutions.
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We have subsequently used MarketsandMarkets again related to Smart Cities to good results.
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