The global Autonomous Trucks Market was valued at USD 1.34 billion in 2025. It is estimated to reach USD 1.68 billion in 2026 and is projected to grow to USD 17.72 billion by 2036, at a CAGR of 26.5% during the forecast period. In volume terms, annual deployments are projected to grow from 4,532 units in 2026 to 70,226 units in 2036. This report offers a detailed look at the market, covering technology, fleet and deployment outlook, unit economics, regulation, business models, the value chain, investment, forecast scenarios, competitive activity, and future growth opportunities.
Autonomous trucks are trucks and haulage vehicles that can perform the entire driving task without a human driver within a defined operational design domain, corresponding to SAE Level 4. They include driverless tractor-trailers on highways, autonomous box trucks and tractors in regional logistics, autonomous drayage trucks, autonomous haul trucks in mines and quarries, and autonomous terminal tractors and port vehicles. The market measures customer spending on autonomy, including hardware, software, recurring autonomy fees such as driver-as-a-service, and related services, and excludes the base value of trucks and freight transport revenue.
Autonomous trucking has moved from testing to commercial operation: Aurora completed nearly 440,000 driverless miles on public roads by the end of June 2026 across 10 Sun Belt routes, Kodiak operated 35 customer-owned driverless trucks, and PlusAI and IVECO launched a Level 4 program in Spain in January 2026. Mining autonomy is mature and expanding, with Komatsu commissioning its 1,000th autonomous haul truck and EACON operating 2,580 active autonomous mining trucks in China. At the same time, on-road developers remain loss-making, and regulation and public acceptance are still evolving.
The report examines market drivers, restraints, opportunities, challenges, and trends, the technology stack of autonomous trucks, the installed fleet and deployment outlook, autonomy value per truck, the regulatory landscape, business models, the value chain, competitive forces, investment and funding, forecast scenarios, buying criteria, strategic implications, and case studies. It explains why on-road autonomy, driver-as-a-service, and factory-integrated trucks are growing faster than the overall market and how the balance between mining and highway autonomy is changing. It also provides market forecasts in value and volume, segment-level insights, and regional analysis across 5 regions and 23 countries and sub-regions to support business, investment, and product decisions.
On-road developers face heavy losses and large capital requirements, and several earlier developers exited the market before reaching scale. Regulations differ between U.S. states and between countries, public trust and labor concerns remain significant, and weather and other operational design domain limits restrict driverless operation. In addition, scaling automotive-grade hardware with truck manufacturers, building hub infrastructure, adapting inspection and liability frameworks, and managing workforce transition remain challenges.
Driver-as-a-service business models, drayage, yard, and port automation, cross-border corridors with Mexico, and the expansion of mining autonomy to new commodities and mixed fleets offer significant opportunities. Meanwhile, driverless trucking is scaling along hub-to-hub networks in the U.S. Sun Belt, developers are partnering with truck manufacturers for factory-integrated trucks, AI and simulation are accelerating validation, and autonomy and electrification are converging.
Based on application, the market is segmented into on-road, including long-haul highway, middle-mile & regional, and drayage, and off-road, including mining & quarry haulage and yard & port. In 2026, off-road autonomy is expected to account for the largest share of the market, led by mining and quarry haulage, reflecting the established base of autonomous haul trucks in China, Australia, and the Americas. On-road autonomy is expected to grow the fastest, led by long-haul highway, and to overtake off-road autonomy in value in 2031.
Based on offering, the market is segmented into hardware, software, driver-as-a-service, and services. In 2026, hardware is expected to hold the largest share, reflecting the high value of autonomous haulage systems and hardware sold with customer-owned trucks. Driver-as-a-service is expected to grow the fastest, as per-mile autonomy models become the dominant on-road business model.
Based on integration type, the market is segmented into factory-integrated and retrofit autonomy. In 2026, retrofit is expected to hold the largest share, driven by retrofit autonomy in Chinese mining and retrofit kits for existing fleets. Factory-integrated autonomy is expected to grow the fastest, driven by production partnerships between autonomy developers and truck manufacturers.
Based on propulsion, the market is segmented into diesel and battery-electric & others. In 2026, diesel is expected to hold the largest share, given its dominance in long-haul trucks and existing mining fleets. Battery-electric and other propulsion types are expected to grow the fastest, driven by electric yard and port vehicles, electric regional freight, and electric autonomous haul trucks.
In 2026, Asia-Pacific is expected to account for the largest share of the global market, with China as the largest country market in the world, followed by Australia, reflecting the largest autonomous mining fleets in the world. Japan is expected to grow the fastest in the region, supported by an expressway section designated for autonomous trucks.
North America is expected to grow the fastest during the forecast period, driven by the scaling of driverless trucking in the U.S., which is expected to become the largest country market in the world from 2030, while Canada operates large autonomous fleets in the oil sands. In Latin America, Chile is the largest market and Mexico is expected to grow the fastest; in Europe, Sweden is the largest market and Germany is expected to grow the fastest; and in the Middle East & Africa, South Africa is the largest market and the UAE is expected to grow the fastest.
The market includes an established off-road arena, in which mining equipment manufacturers and Chinese autonomy providers compete, and an on-road arena, in which autonomy developers race to scale driverless operations with truck manufacturers and suppliers. Based on 2025 market share, Caterpillar ranked first, followed by Komatsu, EACON, Hitachi Construction Machinery, and Waytous, with shares expected to shift toward on-road developers as driverless trucking scales. Partnerships and agreements, fleet and route expansions, product launches, listings, and funding rounds are the main strategies, including the driverless launches of Aurora, the Bosch partnership of Kodiak, the partnerships of PlusAI with TRATON and IVECO, and the listings of Kodiak, Einride, and EACON.
The competitive benchmarking compares companies on their positions across long-haul highway, middle-mile and regional, drayage, mining and quarry haulage, and yard and port applications. Companies compete on safety record and validation, breadth of operational design domains, partnerships with truck manufacturers, cost per mile, productivity and safety performance in mining, mixed-fleet capability, and access to capital.
Key companies profiled in the report include Aurora Innovation, Inc. (U.S.), Kodiak AI, Inc. (U.S.), PlusAI, Inc. (U.S.), Waabi Innovation Inc. (Canada), Gatik AI Inc. (U.S.), Torc Robotics (U.S./Germany), Volvo Autonomous Solutions (Sweden), Einride AB (Sweden), Stack AV (U.S.), Outrider (U.S.), Pony.ai Inc. (China), Caterpillar Inc. (U.S.), Komatsu Ltd. (Japan), EACON Mining Technology (China), Hitachi Construction Machinery Co., Ltd. (Japan), Liebherr Group (Switzerland), TRATON SE (International) (Germany), PACCAR Inc. (U.S.), IVECO Group (Italy), and Robert Bosch GmbH (Germany).
Autonomous trucks are trucks and haulage vehicles that can perform the entire driving task without a human driver within a defined operational design domain, corresponding to SAE Level 4. They include driverless tractor-trailers on highways, autonomous box trucks and tractors in regional logistics, autonomous drayage trucks, autonomous haul trucks in mines and quarries, and autonomous terminal tractors and port vehicles. The market measures customer spending on autonomy, including hardware, software, recurring autonomy fees such as driver-as-a-service, and related services, and excludes the base value of trucks and freight transport revenue.
Autonomous trucking has moved from testing to commercial operation: Aurora completed nearly 440,000 driverless miles on public roads by the end of June 2026 across 10 Sun Belt routes, Kodiak operated 35 customer-owned driverless trucks, and PlusAI and IVECO launched a Level 4 program in Spain in January 2026. Mining autonomy is mature and expanding, with Komatsu commissioning its 1,000th autonomous haul truck and EACON operating 2,580 active autonomous mining trucks in China. At the same time, on-road developers remain loss-making, and regulation and public acceptance are still evolving.
The report examines market drivers, restraints, opportunities, challenges, and trends, the technology stack of autonomous trucks, the installed fleet and deployment outlook, autonomy value per truck, the regulatory landscape, business models, the value chain, competitive forces, investment and funding, forecast scenarios, buying criteria, strategic implications, and case studies. It explains why on-road autonomy, driver-as-a-service, and factory-integrated trucks are growing faster than the overall market and how the balance between mining and highway autonomy is changing. It also provides market forecasts in value and volume, segment-level insights, and regional analysis across 5 regions and 23 countries and sub-regions to support business, investment, and product decisions.
Market Dynamics
Truck driver shortages and hours-of-service limits are the main force behind market growth, as autonomy adds trucking capacity without recruiting scarce drivers and nearly doubles the daily distance a truck can cover. The start of commercial driverless operations, the proven economic and safety benefits of autonomous haulage in mining, and the rapid expansion of autonomous mining in China reinforce demand.On-road developers face heavy losses and large capital requirements, and several earlier developers exited the market before reaching scale. Regulations differ between U.S. states and between countries, public trust and labor concerns remain significant, and weather and other operational design domain limits restrict driverless operation. In addition, scaling automotive-grade hardware with truck manufacturers, building hub infrastructure, adapting inspection and liability frameworks, and managing workforce transition remain challenges.
Driver-as-a-service business models, drayage, yard, and port automation, cross-border corridors with Mexico, and the expansion of mining autonomy to new commodities and mixed fleets offer significant opportunities. Meanwhile, driverless trucking is scaling along hub-to-hub networks in the U.S. Sun Belt, developers are partnering with truck manufacturers for factory-integrated trucks, AI and simulation are accelerating validation, and autonomy and electrification are converging.
Segment Analysis
The report analyzes the market by application, offering, integration type, propulsion, and geography, helping stakeholders identify the most promising growth opportunities.Based on application, the market is segmented into on-road, including long-haul highway, middle-mile & regional, and drayage, and off-road, including mining & quarry haulage and yard & port. In 2026, off-road autonomy is expected to account for the largest share of the market, led by mining and quarry haulage, reflecting the established base of autonomous haul trucks in China, Australia, and the Americas. On-road autonomy is expected to grow the fastest, led by long-haul highway, and to overtake off-road autonomy in value in 2031.
Based on offering, the market is segmented into hardware, software, driver-as-a-service, and services. In 2026, hardware is expected to hold the largest share, reflecting the high value of autonomous haulage systems and hardware sold with customer-owned trucks. Driver-as-a-service is expected to grow the fastest, as per-mile autonomy models become the dominant on-road business model.
Based on integration type, the market is segmented into factory-integrated and retrofit autonomy. In 2026, retrofit is expected to hold the largest share, driven by retrofit autonomy in Chinese mining and retrofit kits for existing fleets. Factory-integrated autonomy is expected to grow the fastest, driven by production partnerships between autonomy developers and truck manufacturers.
Based on propulsion, the market is segmented into diesel and battery-electric & others. In 2026, diesel is expected to hold the largest share, given its dominance in long-haul trucks and existing mining fleets. Battery-electric and other propulsion types are expected to grow the fastest, driven by electric yard and port vehicles, electric regional freight, and electric autonomous haul trucks.
Regional Analysis
The report covers Asia-Pacific, North America, Latin America, Europe, and the Middle East & Africa, spanning 23 countries and sub-regions. The regional analysis considers autonomous mining fleets, commercial driverless operations, regulation, logistics and port infrastructure, driver shortages, and the presence of autonomy developers and manufacturers.In 2026, Asia-Pacific is expected to account for the largest share of the global market, with China as the largest country market in the world, followed by Australia, reflecting the largest autonomous mining fleets in the world. Japan is expected to grow the fastest in the region, supported by an expressway section designated for autonomous trucks.
North America is expected to grow the fastest during the forecast period, driven by the scaling of driverless trucking in the U.S., which is expected to become the largest country market in the world from 2030, while Canada operates large autonomous fleets in the oil sands. In Latin America, Chile is the largest market and Mexico is expected to grow the fastest; in Europe, Sweden is the largest market and Germany is expected to grow the fastest; and in the Middle East & Africa, South Africa is the largest market and the UAE is expected to grow the fastest.
Competitive Landscape
The report provides a detailed review of the competitive landscape, covering key growth strategies, competitive benchmarking by application, the competitive dashboard, and market share analysis, together with profiles of leading companies including their financial performance, product portfolios, strategic developments, and SWOT analyses.The market includes an established off-road arena, in which mining equipment manufacturers and Chinese autonomy providers compete, and an on-road arena, in which autonomy developers race to scale driverless operations with truck manufacturers and suppliers. Based on 2025 market share, Caterpillar ranked first, followed by Komatsu, EACON, Hitachi Construction Machinery, and Waytous, with shares expected to shift toward on-road developers as driverless trucking scales. Partnerships and agreements, fleet and route expansions, product launches, listings, and funding rounds are the main strategies, including the driverless launches of Aurora, the Bosch partnership of Kodiak, the partnerships of PlusAI with TRATON and IVECO, and the listings of Kodiak, Einride, and EACON.
The competitive benchmarking compares companies on their positions across long-haul highway, middle-mile and regional, drayage, mining and quarry haulage, and yard and port applications. Companies compete on safety record and validation, breadth of operational design domains, partnerships with truck manufacturers, cost per mile, productivity and safety performance in mining, mixed-fleet capability, and access to capital.
Key companies profiled in the report include Aurora Innovation, Inc. (U.S.), Kodiak AI, Inc. (U.S.), PlusAI, Inc. (U.S.), Waabi Innovation Inc. (Canada), Gatik AI Inc. (U.S.), Torc Robotics (U.S./Germany), Volvo Autonomous Solutions (Sweden), Einride AB (Sweden), Stack AV (U.S.), Outrider (U.S.), Pony.ai Inc. (China), Caterpillar Inc. (U.S.), Komatsu Ltd. (Japan), EACON Mining Technology (China), Hitachi Construction Machinery Co., Ltd. (Japan), Liebherr Group (Switzerland), TRATON SE (International) (Germany), PACCAR Inc. (U.S.), IVECO Group (Italy), and Robert Bosch GmbH (Germany).
How This Report Helps
- Provides reliable market size estimates and long-term forecasts in value and volume for the global autonomous trucks market.
- Explains how driver shortages, commercial driverless operations, mining autonomy, regulation, and capital availability affect market growth.
- Identifies high-growth opportunities across application, offering, integration type, propulsion, and region.
- Analyzes technology, the installed fleet, autonomy value per truck, business models, regulation, investment, and forecast sensitivities shaping the market.
- Benchmarks leading companies based on their applications and market share.
- Supports partnership and acquisition evaluation, product and platform strategy, investment planning, and market entry decisions.
- Delivers practical market insights for autonomy developers, truck and mining equipment manufacturers, component suppliers, carriers, mining companies, port operators, and investors.
Key Questions Answered
- How big is the global autonomous trucks market today, and how will it grow in value and volume through 2036?
- How are driver shortages, commercial driverless operations, and mining autonomy driving demand?
- What are the main drivers, restraints, opportunities, and challenges shaping the industry?
- Which application, offering, integration type, propulsion, and regional segments will grow the fastest?
- When will on-road autonomy overtake off-road autonomy, and how sensitive is the forecast to the pace of on-road scaling?
- How are driver-as-a-service and factory integration changing business models?
- Which regions and countries offer the most attractive business opportunities?
- Who are the leading companies in the market, and what strategies are they following?
- What recent partnerships, fleet expansions, listings, and funding rounds are shaping the competitive landscape?
Table of Contents
1. Introduction
2. Research Methodology
4. Market Overview
5. Autonomous Trucks Market, by Application
6. Autonomous Trucks Market, by Offering
7. Autonomous Trucks Market, by Integration Type
8. Autonomous Trucks Market, by Propulsion
9. Autonomous Trucks Market, by Geography
10. Competitive Landscape
11. Company Profiles
12. Appendix
List of Tables
List of Figures
Companies Mentioned
- Aurora Innovation, Inc.
- Kodiak AI, Inc.
- PlusAI, Inc.
- Waabi Innovation Inc.
- Gatik AI Inc.
- Torc Robotics
- Volvo Autonomous Solutions
- Einride AB
- Stack AV
- Outrider
- Pony.ai Inc.
- Caterpillar Inc.
- Komatsu Ltd.
- EACON Mining Technology
- Hitachi Construction Machinery Co., Ltd.
- Liebherr Group
- TRATON SE
- PACCAR Inc.
- IVECO Group
- Robert Bosch GmbH (Germany).
