Authors:
Preeti Wadhwani, Satyam Thakare
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Autonomous Truck Market Size & Share 2026-2035
Report ID: GMI5238
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Published Date: November 2026
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Autonomous Truck Market Size
The Autonomous Truck Market was valued at USD 47.77 billion in 2025, is projected to reach USD 58.52 billion in 2026, is expected to grow at a 17.2% CAGR (2026-2035), and is forecast to reach USD 243.47 billion by 2035.
Autonomous Truck Market Key Takeaways
Market Leader: Daimler Truck AG led with over 11.5% market share in 2025.
Leading Players: Top 5 players in this market include Daimler Truck AG, Waymo (Alphabet), Volvo Group, NVIDIA Corporation, Aurora Innovation, which collectively held a market share of 38.0% in 2025.
The Autonomous Truck Market spans commercial vehicles equipped with automated-driving capabilities, associated sensor and compute hardware, vehicle-control software, and operational services. Commercial adoption is moving from feature-led assistance toward defined driverless freight operations, although the timing of revenue realization remains tied to fleet contracting, route validation, and the ability to integrate autonomy with viable propulsion and depot strategies.
GMI Analyst View
Based on input from industry experts, our analysis indicates 367,500 autonomous trucks were operating globally in 2025. We view this installed base as evidence that commercial deployment is no longer limited to isolated demonstrations; the more consequential question is which operating models can convert installed capability into repeatable fleet utilization.
Autonomous Truck Market Trends, Growth Drivers & GMI Forecast Outlook
The market's outlook rests on a practical convergence: carriers need resilient capacity, vehicle platforms are becoming more software-defined, and approval pathways are becoming clearer for defined operating domains. Deployment will nevertheless remain selective where charging, safety assurance, and corridor-specific validation are not yet commercially aligned.
Key Drivers
Evidence anchors use cited external data; demand implications and forecast conditions represent GMI analysis.
Driver scarcity changes the economics of autonomy because it affects asset utilization, route coverage, and the reliability of contracted freight capacity rather than merely payroll. For long-haul carriers, recurring labor constraints strengthen the case for platforms that can operate predictably on approved highway corridors, particularly when autonomous capability is embedded in fleet replacement programs rather than purchased as a separate experiment [1]International Road Transport Union (IRU). "Widening age chasm compounds truck driver shortage crisis: new IRU report." iru.org.
Electrified truck architecture can also simplify the integration of compute, sensing, connectivity, and over-the-air vehicle control. The commercial opportunity is strongest where OEMs coordinate propulsion design with autonomy from the outset, allowing fleets to evaluate vehicle uptime, energy planning, and software support as a single operating proposition rather than as separate procurement decisions [2]International Energy Agency (IEA). "More than 1 in 4 cars sold worldwide this year is set to be electric as EV sales continue to grow." iea.org.
Regulatory progress matters most when it turns a technical operating design domain into a contractible service boundary. As approval processes become more repeatable, fleets can commit resources to specific lanes with greater confidence, while autonomy providers gain a clearer sequence for expanding route coverage [4]Federal Motor Carrier Safety Administration (FMCSA). "Parts and Accessories Necessary for Safe Operation; Application for Exemption From Aurora Operations, Inc." federalregister.gov.
Key Restraints
Evidence anchors use cited external data; demand implications and forecast conditions represent GMI analysis.
The infrastructure constraint is not simply the availability of chargers; it is whether energy systems can support dependable, high-throughput commercial duty cycles at the sites and times freight operations require. Where that assurance is absent, fleets are likely to prioritize established powertrains for initial autonomy deployments and postpone the integrated vehicle transition [3]International Council on Clean Transportation (ICCT). "Race to Zero: European Heavy-Duty Vehicle Market Development Quarterly (January-December 2024)." theicct.org.
Validation remains a route-by-route commercial constraint. Each additional operating domain requires evidence, safety-case development, fleet preparation, and operator acceptance before it can support recurring revenue, which favors companies with patient capital, established manufacturing partners, and proven freight lanes [4]Federal Motor Carrier Safety Administration (FMCSA). "Parts and Accessories Necessary for Safe Operation; Application for Exemption From Aurora Operations, Inc." federalregister.gov.
Cybersecurity and functional-safety obligations further raise the cost of commercial readiness. Continuous software updates, incident governance, and system assurance make compliance an operating capability, not a one-time engineering milestone; this can favor well-resourced integrators over narrowly funded entrants.
GMI Analyst View
We expect the market's near-term revenue profile to be determined less by whether autonomous driving works in principle and more by whether fleets can deploy it within financeable, insured, and approved service models. The winners will convert technical validation into reliable operating commitments before broad network expansion.
Autonomous Truck Market Segment Analysis
By Autonomy Level
L1 (Basic ADAS).
The Autonomous Truck Market's L1 category accounted for a 21.0% revenue share in 2025 and is projected to represent an 8.5% share by 2035. Its role is increasingly transitional: broad availability preserves a large installed base, but fleet investment is progressively directed toward systems with greater operational responsibility and clearer productivity gains.
L2 (Partial Automation).
L2 generated USD 19.11 billion in 2025 and is projected to expand at a 19.9% CAGR (2026-2035). This level remains commercially important because it delivers deployable highway assistance across a wide range of fleet profiles while allowing operators to build familiarity with automated controls before committing to higher-autonomy operating models.
L3 (Conditional Automation).
L3 represented 28.0% of market revenue in 2025 and is projected to generate USD 79.13 billion by 2035. Its position reflects demand for extended automated driving functions where a human handoff remains integral, creating a practical bridge between driver-support products and the more constrained deployment conditions of high automation.
L4 (High Automation).
L4 is expected to reach USD 53.56 billion by 2035 and grow at a 39.2% CAGR (2026-2035). Expansion depends on commercial operations within validated domains, where repeated routes, fleet discipline, and regulatory acceptance allow carriers to monetize driverless capability rather than treat it as a research asset.
L5 (Full Automation).
L5 is projected to account for an 11.0% revenue share by 2035 and expand at a 49.9% CAGR (2026-2035). Nearer-term adoption is likely to remain concentrated in controlled settings such as ports, logistics campuses, and mining sites, where fixed routes and managed infrastructure reduce the complexity of full automation.
By Component
Hardware.
Hardware represented 48.0% of market revenue in 2025 and is forecast to reach USD 105.91 billion by 2035. Sensor suites, compute platforms, communications equipment, and vehicle-control components remain essential to fleet deployment, though scale purchasing and component consolidation are likely to moderate value capture per vehicle over time.
Software.
Software generated USD 15.28 billion in 2025 and is projected to grow at a 21.8% CAGR (2026-2035). Perception, planning, control, and fleet-management capabilities support recurring commercial models, making software increasingly central to the economics of route expansion, system updates, and long-term platform differentiation.
Services.
Services held a 20.0% revenue share in 2025 and are projected to grow at a 24.1% CAGR (2026-2035). Integration, remote support, operational monitoring, analytics, and domain-extension work become more valuable as fleets move from individual vehicles to managed autonomous operations requiring continuous oversight.
By Propulsion
ICE (Diesel/CNG).
ICE platforms accounted for 62.0% of market revenue in 2025 and are projected to hold a 28.5% share by 2035. Existing fleet familiarity and immediate operating practicality support early deployments, but the category's declining mix reflects a longer-term shift toward architectures that better align with decarbonization and software-defined vehicle strategies.
Battery Electric (BEV).
BEV platforms generated USD 8.59 billion in 2025 and are forecast to grow at a 26.7% CAGR (2026-2035). Their appeal lies in the opportunity to integrate energy management, vehicle software, and autonomous controls from the platform-design stage, although charging certainty remains a material condition for large-scale freight adoption.
Hybrid Electric (HEV). HEV represented 10.0% of market revenue in 2025 and is projected to reach USD 34.08 billion by 2035. The segment provides an intermediate option for operators that require electrification progress but cannot yet depend on uninterrupted charging availability across regional or long-distance freight networks.
Plug-in Hybrid (PHEV).
PHEV is projected to account for an 8.0% revenue share by 2035 and expand at a 12.3% CAGR (2026-2035). Its relevance is tied to mixed-duty fleets that operate from charging-capable depots while retaining flexibility for routes with uneven energy infrastructure.
Fuel Cell Electric (FCEV).
FCEV is forecast to reach USD 18.26 billion by 2035 and grow at a 40.6% CAGR (2026-2035). The segment's strategic position in heavy long-haul applications depends on whether hydrogen supply, refueling access, and fuel economics develop sufficiently to address range and payload constraints associated with other zero-emission configurations.
By Truck Class
Class 4.
Class 4 held a 2.9% market revenue share in 2025 and is projected to grow at a 12.4% CAGR (2026-2035). Adoption is concentrated in lighter-duty and delivery-oriented applications, where the cost of advanced autonomy must be carefully matched to vehicle value and route density.
Class 5.
Class 5 generated USD 2.43 billion in 2025 and is projected to reach USD 14.60 billion by 2035. Regional distribution and municipal freight applications offer relatively predictable operating conditions, creating a measured pathway from assisted driving toward higher-automation use cases.
Class 6.
Class 6 is projected to reach USD 19.47 billion by 2035 and expand at an 18.7% CAGR (2026-2035). Food, beverage, construction supply, and regional freight operations can capture labor and utilization benefits without necessarily requiring the operating scale or regulatory burden associated with the heaviest long-haul vehicles.
Class 7.
Class 7 generated USD 7.07 billion in 2025 and is projected to grow at a 15.2% CAGR (2026-2035). Its load capacity and regional operating profile make it relevant to fleets extending autonomy programs beyond core long-haul lanes into heavy distribution and construction logistics.
Class 8. Class 8 generated USD 33.49 billion in 2025 and is expected to account for a 71.3% revenue share by 2035. This class presents the clearest economic case for automation because high utilization, labor intensity, and repeatable highway operations can support the investment required for advanced autonomous systems.
By Application
Freight Transport.
Freight transport generated USD 34.63 billion in 2025 and is projected to represent 77.0% of market revenue by 2035. Long-haul, regional haul, short-haul, and last-mile operations have different automation readiness profiles, but freight remains the primary commercial arena because it directly links autonomy to carrier capacity, route utilization, and service reliability.
Construction.
Construction is forecast to reach USD 18.99 billion by 2035 and grow at a 14.2% CAGR (2026-2035). Controlled or semi-controlled sites allow operators to apply autonomous hauling and materials movement before comparable capabilities are broadly available on public roads.
Mining.
Mining accounted for an 8.8% revenue share in 2025 and is projected to grow at a 14.0% CAGR (2026-2035). Repetitive routes, heavy payloads, and continuous operating schedules make autonomous haulage commercially credible, while controlled sites offer an established proving ground for high-automation fleet management.
Port/Terminal Logistics.
Port and terminal logistics is projected to reach USD 19.47 billion by 2035 and expand at an 18.5% CAGR (2026-2035). Structured movement between quay, yard, storage, and loading locations creates a strong fit for automated horizontal transport, particularly when linked with broader terminal automation systems.
GMI Analyst View
We see segment leadership emerging where vehicle economics and operating boundaries reinforce each other. Defined freight corridors, ports, mines, and managed industrial environments can create the utilization discipline needed for autonomy platforms to build recurring software and services revenue rather than remain dependent on hardware-led deployments.
Autonomous Truck Market Regional Analysis
North America Autonomous Truck Market Analysis
The Autonomous Truck Market in North America generated USD 18.15 billion in 2025 and is projected to account for a 32.0% share of global revenue by 2035. The region combines advanced commercial freight demand with established truck manufacturing, technology partnerships, and comparatively mature pathways for defined driverless operations.
United States. The United States is projected to reach USD 61.32 billion by 2035, compared with USD 14.52 billion in 2025. Its commercial lead is rooted in high-volume freight corridors, carrier demand for dependable capacity, and the ability of OEM and autonomy partnerships to move from testing toward revenue-generating operations on defined routes.
Canada. Canada generated USD 2.72 billion in 2025 and is projected to grow at a 15.8% CAGR (2026-2035). Cross-border logistics and concentrated freight corridors create a natural extension opportunity for platforms already validated in the United States, while provincial policy and weather-related operating conditions will shape deployment pace.
Europe Autonomous Truck Market Analysis
Europe generated USD 12.42 billion in 2025 and is projected to grow at an 18.0% CAGR (2026-2035). The region's opportunity is supported by a deep commercial-vehicle manufacturing base, tighter safety and emissions requirements, and a need to connect national testing frameworks into practical cross-border freight operations.
Germany. Germany generated USD 3.10 billion in 2025 and is projected to grow at a 17.8% CAGR (2026-2035). Its importance rests on early national policy support for high-automation operations and its role as a manufacturing and logistics center within the European freight network.
United Kingdom. The United Kingdom is projected to reach USD 11.64 billion by 2035 and accounted for a 17.0% share of European market revenue in 2025. Regulatory flexibility and corridor-based trials can support commercialization, though broader adoption will depend on translating pilot evidence into dependable freight-service permissions.
France. France is projected to reach USD 9.70 billion by 2035 and grow at an 18.1% CAGR (2026-2035). Fleet interest is reinforced by decarbonization pressure and labor availability concerns, creating demand for automation that can complement evolving heavy-freight operating models.
Italy. Italy represented 9.0% of European market revenue in 2025 and is projected to grow at a 17.6% CAGR (2026-2035). Northern industrial corridors offer concentrated freight flows and repeatable routes, which can provide a commercially credible setting for early autonomous truck deployments.
Asia Pacific Autonomous Truck Market Analysis
Asia Pacific is projected to reach USD 83.63 billion by 2035 and grow at a 19.6% CAGR (2026-2035). The region combines China's electrified commercial-vehicle momentum with large freight networks, manufacturing depth, and distinct growth opportunities in India, Japan, and South Korea.
China.
China is projected to account for 51.7% of Asia Pacific market revenue by 2035 and expand at a 20.0% CAGR (2026-2035). Its scale advantage derives from domestic technology development, commercial-vehicle manufacturing capacity, and a growing alignment between electrified trucks and controlled logistics applications.
Japan.
Japan generated USD 2.00 billion in 2025 and is projected to grow at a 17.4% CAGR (2026-2035). Driver availability constraints and dense freight networks create demand for automation, while local adaptation to road infrastructure, fleet practices, and safety expectations will remain essential.
India.
India is projected to reach USD 10.86 billion by 2035 and grow at a 21.1% CAGR (2026-2035). Freight-network investment, expanding logistics demand, and progressive deployment of lower automation levels can establish the operational base needed for higher-autonomy commercialization over time.
South Korea.
South Korea generated USD 936.39 million in 2025 and is projected to reach USD 5.85 billion by 2035. Technology-intensive supply chains, connected-vehicle infrastructure, and OEM participation support adoption, particularly where industrial logistics can provide a controlled initial environment.
Latin America Autonomous Truck Market Analysis
Latin America generated USD 2.14 billion in 2025 and is projected to grow at an 11.9% CAGR (2026-2035). The region's opportunity is linked to expanding freight activity and long-distance logistics demand, but commercial deployment remains constrained by uneven infrastructure and early-stage regulatory frameworks.
Brazil.
Brazil generated USD 966.44 million in 2025 and is projected to grow at an 11.4% CAGR (2026-2035). Long-haul movement between inland production centers and export infrastructure offers a compelling use case, although road quality variation and policy uncertainty temper the path to higher automation.
Mexico.
Mexico is projected to reach USD 1.87 billion by 2035 and accounted for a 24.9% share of Latin American market revenue in 2025. Nearshoring and cross-border manufacturing logistics create corridor-based opportunities, particularly where fleets can deploy assistance and partial automation within integrated North American supply chains.
Middle East & Africa Autonomous Truck Market Analysis
Middle East & Africa is projected to reach USD 6.33 billion by 2035 and grow at a 15.8% CAGR (2026-2035). Demand is concentrated in logistics developments, ports, industrial zones, and mining operations where controlled environments can support autonomous use cases ahead of broad open-road deployment.
United Arab Emirates. The United Arab Emirates generated USD 417.03 million in 2025 and is projected to grow at a 13.3% CAGR (2026-2035). Ports, logistics campuses, and purpose-built industrial settings provide operational boundaries that can facilitate advanced truck automation before wider road-network rules mature.
Saudi Arabia. Saudi Arabia is projected to reach USD 1.34 billion by 2035 and accounted for a 20.9% share of Middle East & Africa market revenue in 2025. Greenfield logistics and industrial development can make autonomous operations part of the initial design of freight systems rather than an overlay on legacy infrastructure.
South Africa. South Africa generated USD 259.18 million in 2025 and is projected to grow at a 13.0% CAGR (2026-2035). Mining activity provides a commercially established foundation for autonomous haulage, while the expansion of autonomous trucking beyond controlled sites will depend on transport infrastructure and regulatory readiness.
GMI Analyst View
We expect regional outcomes to diverge according to commercial operating readiness rather than technology access alone. Markets that can connect regulation, fleet partners, manufacturing support, and route infrastructure will capture earlier scale, while other regions may first build value through managed sites and selective freight corridors.
Autonomous Truck Market Share & Competitive Landscape
The Autonomous Truck Market share structure is moderately concentrated, with the five players include Daimler Truck AG, Waymo (Alphabet), Volvo Group, NVIDIA Corporation, Aurora Innovation — collectively \~38.0% share in 2025. Competitive advantage depends on the ability to combine certified autonomous technology with commercial truck platforms, fleet relationships, manufacturing capacity, and durable operating support.
Daimler Truck AG held an 11.5% market share in 2025. Its position is reinforced by the integration of Torc Robotics' autonomous capabilities with Freightliner truck platforms, creating a route to commercial scale that joins vehicle engineering, fleet familiarity, and autonomy development within a single OEM ecosystem.
Waymo held a 9.4% market share in 2025. Its differentiation lies in software, sensing, and autonomous-driving experience, while its ability to collaborate with established vehicle manufacturers reduces the need to build a proprietary truck-production footprint.
Volvo Group held an 8.8% market share in 2025. Its multi-partner approach allows the company to combine truck manufacturing with different autonomy stacks across highway, port, and terminal use cases, preserving strategic optionality as the market determines which platform models achieve durable fleet adoption.
NVIDIA occupies a critical enabling role through high-performance compute architecture used by vehicle manufacturers and autonomous-system developers. Its partnership with Aurora and Continental is designed to support scaled deployment of the Aurora Driver, with Continental targeting mass manufacture of the system from 2027 [7]GlobeNewswire / NVIDIA Corporation. "Toyota, Aurora and Continental Join Growing List of NVIDIA DRIVE Partners." globenewswire.com.
Aurora strengthened its commercial positioning by commencing driverless freight operations on the Dallas-Houston corridor in April 2025 [5]Aurora Innovation Inc. "Aurora Delivers: My Ride in the First Self-Driving Commercial Truck." aurora.tech. That milestone raises competitive pressure on companies that have validated technology but have not yet demonstrated a repeatable commercial operating model with major freight customers.
Einride, Waabi, Kodiak AI, Plus, Pony.ai, Inceptio Technology, Gatik AI, Outrider, and other specialized developers broaden competitive intensity through distinct combinations of geofenced operations, simulation-led development, yard automation, short-haul service, and regional trucking models. Their strategic relevance lies in demonstrating that market leadership may emerge from application-specific operating depth as well as from full-stack, long-haul deployment.
Recent Industry Developments
The Federal Motor Carrier Safety Administration's exemption effective October 7, 2026, permits qualifying Level 4 automated driving system-equipped commercial vehicles to use cab-mounted warning beacons in place of warning devices traditionally placed by a human driver. The decision creates a more repeatable regulatory pathway for validated driverless freight operations and removes a practical operational uncertainty for commercial deployment [4]Federal Motor Carrier Safety Administration (FMCSA). "Parts and Accessories Necessary for Safe Operation; Application for Exemption From Aurora Operations, Inc." federalregister.gov.
Volvo Autonomous Solutions and Waabi announced a commercial autonomous freight operation for Warp on the Dallas-Houston corridor in October 2026, with a human safety driver present. The launch demonstrates how OEMs are using partnerships to build operational experience across more than one autonomy technology platform [6]Trucking Dive. "Volvo Autonomous Solutions, Waabi launch first driverless lane in Texas." truckingdive.com.
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