Authors:
Preeti Wadhwani, Aishwarya Ambekar
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Heavy-Duty Autonomous Vehicle Market Size & Share 2026-2035
Report ID: GMI13274
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Published Date: August 2026
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Heavy-Duty Autonomous Vehicle Market
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Heavy-Duty Autonomous Vehicle Market Size
The heavy-duty autonomous vehicle market was valued at USD 45.8 billion in 2025 and is projected to increase from USD 48.9 billion in 2026 to USD 181.5 billion by 2035, representing a 15.7% CAGR. The addressable market spans autonomous trucks and buses, from driver-assistance-equipped fleets through defined-operational-domain Level 4 systems. Its economic center of gravity is shifting from vehicle hardware toward validated software, redundant vehicle architecture, sensing, connectivity, and fleet operations.
Heavy-Duty Autonomous Vehicle Market Key Takeaways
Market Leader: Volvo led with over 9% market share in 2025.
Leading Players: Top 5 players in this market include Daimler Truck, FAW, PACCAR, TRATON, Volvo, which collectively held a market share of 30% in 2025.
Four technology shifts shape that trajectory. Over-the-air software updates are estimated to contribute 7–9% to growth by allowing fleets to deploy safety fixes and performance changes without withdrawing vehicles for workshop visits. V2X integration, estimated to add 6–8%, extends the vehicle's operating context beyond line-of-sight sensors; its value is greatest at freight corridors, terminals, and transit routes where infrastructure can be standardized. Data-driven mobility platforms add an estimated 4–6% by converting telemetry into maintenance and dispatch decisions, while AI and cloud integration contributes an estimated 3–5% as fleet-scale learning and remote operations become more practical.
The commercial threshold is not simply whether a truck can drive autonomously. It is whether a vehicle can be certified, serviced, insured, and dispatched as a repeatable asset. Aurora's April 2025 launch of driverless customer deliveries between Dallas and Houston illustrates that transition from supervised testing toward revenue service on a constrained corridor. Factory-integrated platforms are becoming particularly consequential because the redundant braking, steering, electrical, and sensor systems required for higher autonomy must be validated together rather than assembled as unrelated components [1]Daimler Truck North America, Daimler Truck and Torc Robotics Select Aeva to Supply Advanced 4D LiDAR Technology for Series-Production Autonomous Trucks, northamerica.daimlertruck.com.
GMI Analyst View
The forecast is anchored in a change in deployment architecture rather than a single sensor breakthrough. Early Level 4 value is concentrating where route geometry, operating procedures, and service support can be constrained: hub-to-hub freight, mining roads, depots, dedicated transit corridors, and private logistics sites. That narrows the initial operational design domain but improves the probability that safety cases, maintenance protocols, and fleet utilization economics can be demonstrated repeatedly.
This creates a bifurcated market. Established OEMs and their technology partners are positioned to capture high-value, factory-integrated on-road deployments, while retrofit providers retain room in mining, industrial fleets, and lower-level safety upgrades. The resulting market should not be read as a linear replacement of conventional trucks; adoption will depend on the interaction between platform architecture, freight-lane readiness, liability allocation, and the replacement cycle of each fleet.
Key Drivers
Expansion of 5G and high-speed connectivity
Heavy-duty autonomy benefits from dependable, low-latency data exchange between vehicles, dispatch systems, and roadside infrastructure. Connectivity does not replace onboard safety systems, but it can improve route coordination, remote assistance, and fleet visibility. The commercial benefit rises where operators run repeatable freight lanes or controlled facilities, because communications investments can be amortized over a high utilization base.
Growing demand for vehicle safety and telematics
The installed base of safety systems and telematics supplies the data, sensing, and fleet-management foundation from which higher automation can develop. This makes lower-level automation commercially relevant even where Level 4 deployment remains distant: safety features support immediate risk management, while their operating data informs maintenance and vehicle-configuration decisions.
Government mandates for vehicle connectivity
Regulatory attention to automated commercial vehicles increases the value of traceable system integration, inspection readiness, and documented safety management. FMCSA's April 2025 guidance on safe ADS integration in commercial motor vehicles reinforces the importance of aligning autonomy hardware and software with operating and inspection practices [2]Federal Motor Carrier Safety Administration, Guidance on Safe Integration of Automated Driving Systems in Commercial Motor Vehicles, fmcsa.dot.gov. Such requirements favor suppliers that can present an integrated vehicle safety case rather than an isolated technology demonstration.
Rising adoption of smart mobility and digital services
Fleet operators increasingly need dispatch, maintenance, charging, and utilization data to work across vehicle types and operating sites. Software can turn an autonomous asset into a managed capacity service, particularly when it is paired with remote supervision and planned freight operations. Einride's full-time daily US commercial autonomous operation with GE Appliances illustrates how an operator-led freight model can move beyond a conventional vehicle transaction [3]GE Appliances, Einride Deploys First Full-Time Daily Commercial Autonomous Operations in Partnership with GE Appliances, pressroom.geappliances.com.
Fleet operators increasingly need dispatch, maintenance, charging, and utilization data to work across vehicle types and operating sites. Software can turn an autonomous asset into a managed capacity service, particularly when it is paired with remote supervision and planned freight operations. Einride's full-time daily US commercial autonomous operation with GE Appliances illustrates how an operator-led freight model can move beyond a conventional vehicle transaction.
Key Restraints
Cybersecurity and data privacy concerns
Connectivity expands operational capability but also enlarges the set of systems that must be protected, monitored, updated, and governed. A compromised telemetry, update, or remote-assistance pathway could disrupt availability even when vehicle control is not directly affected. The restraint is therefore both technical and commercial: fleets must evaluate cyber controls, supplier accountability, data rights, and incident-response processes before assigning safety-critical work to connected vehicles.
High cost of connectivity hardware and integration
The investment burden includes redundant steering and braking, sensors, computing, communications, validation, depot support, and sometimes corridor infrastructure. It is particularly acute for smaller operators that cannot spread engineering and service costs over a large fleet. The cost gap helps explain why initial deployments favor high-utilization freight lanes, private industrial sites, and constrained transit routes, where the same equipment can complete more revenue-generating cycles.
GMI Analyst View
Connectivity and safety regulation are supportive only when they reduce operational uncertainty. The same connected architecture that enables remote support and software updates creates a governance burden that can delay deployment if ownership of data, patching, and liability is unclear. Suppliers that package cybersecurity, vehicle integration, and service responsibilities with the autonomy system are better positioned than firms offering a sensing stack without an operating model.
Cost pressure will preserve multiple adoption paths. Large fleets can justify factory-integrated Level 4 trucks when utilization and route repeatability are high; smaller fleets may first purchase ADAS, telematics, or pre-delivery upgrades. In mining and other private-road environments, retrofit systems can remain viable because equipment has a long service life and the regulatory setting differs from public-road freight. EACON's deployment of retrofit and factory-fit autonomy across more than 1,700 trucks at over 20 mine sites demonstrates why this channel cannot be treated as a residual market.
Heavy-Duty Autonomous Vehicle Market Segment Analysis
By Vehicle
Trucks held 70.0% of the market in 2025 and are expected to grow at a 14.8% CAGR. Class 7 and Class 8 platforms concentrate the highest freight value because highway and hub-to-hub operations offer repeatable routes, larger payloads, and an economic case for extended asset utilization. Their deployment challenge is equally concentrated: the safety case must combine vehicle redundancy, perception, mapping, operations, and service coverage across a demanding public-road environment.
Buses represented 30.0% of 2025 revenue and are forecast to expand at a 17.5% CAGR. Fixed stops, dedicated lanes, campuses, airports, and planned shuttle routes can simplify the operating domain relative to mixed-traffic trucking. New Flyer's Xcelsior AV program demonstrates the production-bus pathway, integrating automated driving technology into a transit-grade platform for a Connecticut bus rapid transit demonstration [4]NFI Group, New Flyer Unveils the Xcelsior AV North America's First Automated Transit Bus, nfigroup.com. Low-speed systems from 2getthere and Navya ARMA remain relevant to automated transit, but their dedicated-guideway and shuttle focus [5]2getthere, Automated Transit Networks Direct Origin-to-Destination Travel on a Network of Dedicated Guideways, 2getthere.eu places them at a different operating boundary from conventional heavy-duty buses.
By Level of Autonomy
Level 1 accounted for 21.1% of 2025 revenue and grows at 6.8% CAGR; Level 2 held 31.7% and grows at 10.0%. Both tiers remain important as an installed base of driver-assistance, safety, and telematics capability, but they do not remove the driver's continuing responsibility. Level 3 represented 27.0% and expands at 16.9%, reflecting the commercial appeal of conditional automation in defined conditions. Level 4, at 20.3% in 2025, is projected to grow at 24.2% CAGR because it can remove the driver from the driving task within a defined domain.
The distinction between Level 3 and Level 4 is commercially decisive. Level 3 can improve driver productivity, but it still relies on a managed handover. Level 4 can change vehicle scheduling and terminal design, provided the route, weather envelope, fallback procedures, and maintenance regime remain within the validated operating domain. Aurora's driverless service and Torc's factory-integrated Freightliner Cascadia program indicate that scaling depends on this system-level validation, not on autonomy classification alone.
By Propulsion
ICE vehicles retained 50.5% of 2025 revenue and are forecast to grow at 13.1% CAGR, reflecting established refueling and service infrastructure. Electric vehicles held 39.7% and lead with an 18.5% CAGR; their growth is strengthened where charging can be scheduled around predictable routes and depot dwell time. Hybrid vehicles accounted for 9.8% and are projected to grow at 14.5%, providing a transition option where operators need efficiency improvements but cannot yet rely on full charging availability.
Electric propulsion and autonomy reinforce each other most clearly in structured operations, where vehicle return-to-base patterns can coordinate charging, maintenance, and remote supervision. Einride's commercial autonomous electric deployment with GE Appliances illustrates the operational potential of that model, while also highlighting the need to coordinate vehicle and site operations rather than treat the truck as an isolated purchase.
By Application
Logistics was the largest application at 55.2% in 2025 and is projected to grow at 14.5% CAGR. Its scale reflects the concentration of freight demand, but broad fleet replacement cycles and open-road variability temper its growth rate. Construction & mining represented 11.9% and is forecast to grow at 16.7%, benefiting from private roads, controlled work sites, and a clear safety rationale for removing personnel from hazardous haulage tasks. Kodiak's customer-owned driverless deployment for Atlas Energy Solutions, which completed 100 proppant loads in the Permian Basin, illustrates the role of industrial deployments as a commercial bridge before wider public-road operation.
Transportation accounted for 30.0% of revenue and is forecast to grow at 17.5%. Dedicated bus rapid transit, airports, and campus routes can support early Level 4 use because service patterns and fleet control are concentrated. Other applications, including specialized industrial and municipal tasks, held 3.0% and grow at 11.5%; their fragmented demand favors targeted solutions rather than one universal autonomy stack.
By End Use
OEM deployment is directionally dominant for Level 3 and Level 4 on-road systems because autonomy must be coupled to the vehicle's electrical, braking, steering, sensor, warranty, and service architecture. Torc's system is engineered specifically for Daimler Truck's fifth-generation Freightliner Cascadia, while the truck platform is designed with the redundant systems required for autonomous operation. The Plus partnership with Scania, MAN, and Navistar similarly centers on fully integrated systems supported by OEM and dealer channels. No proprietary numerical OEM/aftermarket split is available.
Aftermarket demand remains material for L1/L2 safety and telematics upgrades, fleetwide pre-delivery programs, transit retrofits, and long-lived industrial equipment. The difference is structural rather than merely commercial: retrofit channels can upgrade existing assets efficiently, whereas public-road Level 4 systems require a unified and validated safety case. Mining is the clearest exception, where retrofit autonomy can work across varied equipment models on private sites.
GMI Analyst View
Segment growth is governed by operating-domain discipline. The 24.2% CAGR for Level 4 does not imply simultaneous automation across all freight and transit tasks; it indicates a rapid expansion from a smaller base where routes and procedures can be bounded. That is why the faster growth of buses, transportation applications, electric vehicles, and construction/mining can coexist with trucks' continuing 70.0% revenue leadership. Each segment has a different balance of utilization, route variability, infrastructure dependence, and safety-case complexity.
OEM-first architecture gives the on-road market a high entry barrier and should favor vehicle manufacturers that can coordinate platform design, dealer support, and warranty. Conversely, the aftermarket retains a defensible role where fleet replacement is slow or the operating environment is private. This distinction matters for suppliers: sensor and software providers pursuing Class 8 highway freight need OEM production integration, whereas those targeting mines, ports, and ADAS retrofits can address a more heterogeneous equipment base.
Heavy-Duty Autonomous Vehicle Market Regional Analysis
North America
North America led the market with 40.2% of 2025 revenue and is forecast to grow at 15.0% CAGR. The United States accounted for 68.8% of the regional market and is projected to expand at 16.7%, while Canada represented 31.2% with a 16.2% CAGR. The region's long freight lanes, truck-oriented logistics system, and concentration of autonomy developers make it a leading setting for Class 8 commercialization. The Dallas–Houston route used by Aurora shows how a dense freight corridor can serve as both a technical validation environment and an operating asset.
Europe
Europe held 30.4% of 2025 revenue and is forecast to grow at 14.1% CAGR. Germany contributed 55.7% of regional demand and is projected to expand at 12.4%. The region's opportunity is shaped by cross-border standards, dense industrial logistics, and the pairing of autonomy with electrification. Scania's on-road collaboration with Plus and its autonomous mining-truck order book [6]Scania Group, Scania and Regroup Set to Launch Autonomous Mining Truck Fleet, scania.com demonstrate the value of combining OEM platforms with application-specific operating domains. The UK, France, Italy, Spain, Belgium, the Netherlands, and Nordic markets offer differentiated transit, port, freight, and industrial deployment settings rather than a uniform European adoption pattern.
Asia Pacific
Asia Pacific accounted for 24.4% of 2025 revenue and is expected to record the fastest regional CAGR, 18.1%. China held 69.4% of the regional market and is forecast to grow at 19.0%, supported by domestic commercial-vehicle manufacturing, connected-vehicle investment, and industrial freight demand. Baidu-linked DeepWay targets L3 freight automation through its Xingtu heavy-duty truck [7]PR Newswire, Baidu-Backed DeepWay Unveils Smart New Energy Heavy-Duty Truck to Automate Road Freight, prnewswire.com, while Baidu-backed CiDi focuses on industrial autonomous haulage. India, Japan, Australia, Singapore, South Korea, and Southeast Asia present varied pathways, from manufacturing and port logistics to mining and controlled shuttle operations.
Latin America
Latin America represented 3.0% of 2025 revenue and is projected to expand at 16.9%. Brazil accounts for 60.5% of the region and is expected to grow at 15.8%; Mexico and Argentina add freight, mining, and transit opportunities. The region's commercial case is strongest where industrial routes can be controlled and high-value assets can support incremental automation investment. Uneven road and digital infrastructure limit direct replication of North American highway deployments, making private sites and targeted freight corridors more plausible early markets.
Middle East & Africa
Middle East & Africa held 2.1% of 2025 revenue and is forecast to grow at 16.4%. The UAE represented 35.4% of regional demand and is projected to grow at 14.8%, while Saudi Arabia and South Africa offer distinct smart-city, port, mining, and logistics use cases. Oxa's work in airport baggage movements and its Port of Tyne container-transport program underline the relevance of structured industrial automation; its Dubai joint venture similarly targets ports and airports rather than open-road Class 8 freight.
GMI Analyst View
Regional leadership is being determined less by a single national policy than by the availability of deployable operating domains. North America combines freight density with a concentrated trucking innovation ecosystem, explaining its revenue lead. Asia Pacific grows faster because China's manufacturing scale and connected-mobility development can accelerate adoption from a lower regional base. Europe's opportunity is more dependent on interoperable deployment across borders and on aligning automation with zero-emission fleet investments.
Emerging regions need not wait for nationwide autonomy readiness. Mining roads, ports, airports, dedicated transit systems, and logistics compounds provide contained environments where the value of safety and repeatability can outweigh infrastructure constraints. That favors a geographically selective rollout strategy: providers should match vehicle class, propulsion, and automation level to the route or site rather than assume that a proven Texas freight configuration can be transferred unchanged to Brazil, the UAE, or Southeast Asia.
Heavy-Duty Autonomous Vehicle Market Share & Competitive Landscape
The market remains dispersed. Volvo Group held 9.4% of 2025 revenue, followed by TRATON GROUP at 8.4%, PACCAR Inc. at 5.1%, Daimler Truck Holding AG at 4.0%, and FAW Group at 2.3%; other participants collectively represented approximately 70.8%. Scale in vehicle manufacturing remains valuable, but commercial advantage increasingly depends on the ability to combine an autonomy stack with a validated platform, fleet service network, and a tightly defined operating model.
OEM and platform leaders. Volvo, Daimler Truck, PACCAR, TRATON, Scania, and FAW have a route to market through vehicle platforms, customer relationships, manufacturing, and dealer support. Daimler Truck's Torc subsidiary exemplifies the factory-integration model, while Scania is active in both hub-to-hub and mining applications. PACCAR's importance lies in its North American platform and fleet-channel access; Volvo's market leadership gives it a broad installed base across commercial vehicles; TRATON provides multi-brand scale; and FAW is positioned to benefit from China's domestic commercial-vehicle and connected-mobility ecosystem.
Autonomy specialists and integrated operators. Aurora has converted a constrained Texas lane into commercial driverless operations and is building around OEM-integrated trucks. Einride differentiates through cabless electric vehicles, remote supervision, and a capacity-as-a-service model; its US commercial operation with GE Appliances began in November 2023. Kodiak's industrial, customer-owned deployment prioritizes revenue operation on private roads before broader highway expansion. Baidu's commercial-vehicle involvement is principally through DeepWay, CiDi, and partnerships rather than a single direct heavy-duty vehicle program.
Technology suppliers and industrial automation. ZF Friedrichshafen supplies the compute, sensing, actuation, and steering components that can be incorporated across OEM platforms. Its ProAI compute platform entered commercial-vehicle series production at the end of 2024 [8]ZF Friedrichshafen, Automated Driving ZF Strengthens Capabilities for ADAS Turnkey Solutions, press.zf.com and is designed to scale across ADAS and automated-driving applications. Oxa Autonomy concentrates on repeatable industrial routes in ports, airports, logistics hubs, and manufacturing environments, as demonstrated by its Heathrow baggage-transfer project with DHL. These suppliers may capture value even when a vehicle manufacturer retains the customer relationship.
Transit-oriented and boundary participants. New Flyer develops heavy-duty automated transit buses, while 2getthere and Navya ARMA address smaller, lower-speed automated transit systems with dedicated or semi-controlled operating environments. Their inclusion reflects the breadth of autonomous commercial mobility, but their platforms should not be conflated with Class 7/8 freight trucks.
Historical, suspended, and adjacent positions. Waymo indefinitely suspended most Waymo Via trucking development in July 2023 and redirected attention to robotaxi operations; it remains relevant as a technology reference point, not an active heavy-duty trucking competitor [9]FreightWaves, Waymo Via Backs Away From Autonomous Trucking, freightwaves.com. Embark Trucks ceased operations in March 2023 and its technology assets were acquired by Applied Intuition, making the brand a historical participant rather than an active operating entity. TuSimple exited the US autonomous-trucking market in December 2023 and rebranded as CreateAI in 2024, ending its US Class 8 program. Zoox is an adjacent autonomous-vehicle platform: its purpose-built robotaxi is below the Class 7 threshold and has no direct heavy-duty freight or bus program.
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