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Autonomous Long-Haul Trucking Market Size & Share 2026-2035

Market Size - By Automation Level (Level 3, Level 4, Level 5), By Propulsion (Diesel, Electric, Hybrid), By Vehicle Class (Class 7 (26,001–33,000 lbs GVWR), Class 8 (33,001+ lbs GVWR)), By Application (Hub-to-Hub Operations, Long-Distance Freight Transport, Port & Terminal Logistics, Cross-Border Logistics, Others), and By End Use (Logistics & Fleet Operators, Retail & E-Commerce, FMCG & Food Supply Chains, Industrial Goods Suppliers, Others), Growth Forecast. The market forecasts are provided in terms of revenue (USD) & volume (Units).

Report ID: GMI15396
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Published Date: May 2026
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Report Format: PDF

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Autonomous Long-Haul Trucking Market Size

The global autonomous long-haul trucking market was valued at USD 3.2 billion in 2025. The market is expected to grow from USD 3.9 billion in 2026 to USD 33.1 billion in 2035 at a CAGR of 26.9%, according to latest report published by Global Market Insights Inc.

Autonomous Long-Haul Trucking MarketKey Takeaways

Market Size & Growth

  • 2025 Market Size: USD 3.2 Billion
  • 2026 Market Size: USD 3.9 Billion
  • 2035 Forecast Market Size: USD 33.1 Billion
  • CAGR (2026–2035): 26.9%

Regional Dominance

  • Largest Market: North America
  • Fastest Growing Region: Asia Pacific

Key Market Drivers

  • Driver Shortage Crisis & Rising Labor Costs.
  • Demand for 24/7 Freight Operations & Asset Utilization.
  • Safety Improvements & Accident Reduction Potential.
  • Fuel Efficiency Gains & Operating Cost Reduction.

Challenges

  • High Initial Technology & Vehicle Acquisition Costs.
  • Public Safety Concerns & Acceptance Barriers.

Opportunity

  • Government Infrastructure Investments in Smart Roads.
  • Integration with Warehouse Automation & Last-Mile Solutions.
  • Retrofit Autonomous Systems for Existing Truck Fleets.

Key Players

  • Market Leader: Continental led with over 25% market share in 2025.
  • Leading Players: Top 5 players in this market include Applied Intuition, Continental, Daimler Truck (Torc Robotics), Einride, TRATON, which collectively held a market share of 46.5% in 2025.

Revenue is distributed across autonomy hardware (sensor suites, compute, redundant braking/steering), software licensing and over-the-air updates, systems integration, remote operations, maintenance, and analytics. The underlying vehicle cost is excluded; measurement isolates autonomy-specific technology and services. The data indicates acceleration later in the decade as Level 4 (L4) transitions from safety-driver-supervised to operationally driverless in defined corridors, while procurement moves from program-by-program pilots to standardized options in OEM order books.

At the regional level, North America accounted for roughly 40.3% of the autonomous long-haul trucking market in 2025, underpinned by corridor-friendly interstate infrastructure and policy signals that include a federal tax credit up to USD 40,000 for electric trucks and nearly USD 1 billion in Clean Heavy-Duty Vehicles grants. Over 1,700 electric trucks were sold in the US in 2024, providing a growing platform for autonomy-ready electric Class 8 adoption.

Asia Pacific represented about 27.7% in 2025 and is set to outpace all regions as China scales deployments through policy-backed pilots and municipal access in 100+ cities, while Japan’s MLIT-funded trunk-route projects build deployment evidence along key logistics corridors. Latin America and the Middle East & Africa collectively contributed around 5.7%, with Brazil moving first on comprehensive regulatory guidelines for testing and commercial usage.

Battery-electric heavy-duty trucks are roughly 55% more energy efficient than diesel, with fuel-cell trucks being about 30% more efficient. Battery prices for commercial trucks have declined by about 30% since 2020, and batteries’ share of upfront cost is trending toward the mid-30% range by 2030 as manufacturing scales, improving total cost parity trajectories in the EU and US around 2030. Fuel costs are already nearly 70% lower than diesel per kilometer in China and about one-third lower in the EU/US, compressing operating expense in autonomy-ready electric fleets. The more consequential shift is that L4’s 24/7 corridor utilization lifts revenue-per-tractor materially, compressing payback windows even with sensor and compute premiums.

Autonomous Long-Haul Trucking Market

Autonomous Long-Haul Trucking Market Trends

Germany’s statutory framework for L4 operation, coupled with ALKS type approvals and national C-ITS deployment, provides a clear European pathway as fleets prepare safety cases and remote-operations procedures. In parallel, FMCSA’s ACE work on L3 capabilities (automated lane changes, failure management, controlled law-enforcement interactions) establishes evaluation scaffolding that informs L4 validation in the United States.

The impact is immediate in program design fleets prioritize 300–1,500 km interstate segments between hubs, where 24/7 utilization shifts tractor economics and compresses cycle times. A closer read reveals corridor-by-corridor scaling rather than blanket national rollouts; regulatory readiness and infrastructure completeness determine sequence. Germany’s ATLAS‑L4, which demonstrated motorway operations linking logistics centers, is a concrete use case that anchors European planning.

On a unit-economics basis, energy costs dominate autonomous duty cycles. Battery-electric heavy trucks deliver roughly 55% higher energy efficiency than diesel counterparts; fuel cell variants deliver about 30% gains. Because of this, high-mileage L4 tractors on electric platforms see compounding benefits: smoother automation reduces transient losses, predictive eco-driving lifts efficiency, and megawatt-scale charging shrinks dwell time. Standards alignment matters.

Policy alignment accelerates market entry in Asia and Latin America China’s municipal access model over 6,000 unmanned delivery vehicles in large-scale operation and more than 100 cities granting road access demonstrates how top-down coordination compresses commercialization timelines and builds operational datasets quickly. Japan’s MLIT actively solicits trunk‑route demonstrations to address driver shortages and productivity; these projects create repeatable templates for corridor selection, depot design, and safety cases tied to ministry guidance.

Autonomous Long-Haul Trucking Market Analysis

Autonomous Long-Haul Trucking Market Size, By Automation Level, 2022 – 2035 (USD Billion)

Based on automation level, the market is divided into level 3, level 4 and level 5. The level 3 segment dominated the market with market share of around 89.4% and generating revenue of around USD 2.8 billion in 2025.

  • Level 3 systems segment dominated in 2025, reflecting regulatory requirements for human presence and the maturity/cost advantages of driver‑assistance platforms. L3 functionality expanded beyond basic highway cruise to include automated lane changes, work‑zone lane shifts, and sensor‑failure handling, improving safety and reducing fatigue while keeping a driver in the loop.
  • Germany’s ALKS approvals (to 95 km/h under conditions) and the U.S. ACE program’s Class 8 trials define acceptable behaviors and test conditions that de‑risk fleet adoption of advanced L3. The net effect is sustained, if tapering, L3 growth as lower‑cost packages seed fleets while L4 corridors mature.
  • Germany’s statutory L4 basis and ATLAS‑L4 motorway demonstrations, China’s municipal access and logistics deployments (6,000+ unmanned vehicles; >100 cities granting access), and Japan’s MLIT trunk‑route programs map out three distinct regulatory pathways to the same outcome: driverless highway runs between logistics hubs.
  • As L4 scales, integration depth matters factory‑installed sensors and redundancy reduce total installed cost and ease validation, while teleoperations staffing becomes a line item in unit economics. The implication is a share shift toward L4 through the early 2030s as corridor networks and service models stabilize.

Autonomous Long-Haul Trucking Market Revenue Share, By Propulsion, (2025)

Based on propulsion, the autonomous long-haul trucking market is divided into under diesel, electric and hybrid. The diesel segment accounts for 66.7% in 2025, valued at around USD 2.1 billion.

  • Diesel-powered autonomous tractors will remain relevant during the transition, particularly on lanes with limited charging coverage or extreme range requirements. Yet the more consequential shift is to zero‑emission platforms where energy efficiency and incentives materially alter cost structures. Battery‑electric heavy trucks are roughly 55% more energy‑efficient than diesel, and fuel‑cell heavy trucks about 30% more efficient.
  • Fuel/energy cost differentials already favor battery‑electric operations by nearly 70% per kilometer in China and roughly one‑third in the EU and U.S., when electricity pricing and duty cycles fit. Near‑term diesel L4 on under‑served routes, accelerating electric L4 on high‑throughput corridors with MCS‑class charging and depot power.
  • The policy layer matters: U.S. tax credits up to USD 40,000 per truck and nearly USD 1 billion in grants compress payback periods, crowding in private capex. The pricing dynamic battery costs down about 30% since 2020 with further reductions expected tightens TCO even before full driverless operation is achieved. Expect electric to take leadership in autonomous long‑haul trucking where infrastructure and grid readiness converge with corridor density.

Based on application, the autonomous long-haul trucking market is divided into hub-to-hub operations, long-distance freight transport, port & terminal logistics, cross-border logistics and others. The hub-to-hub operations segment is expected to grow at the fastest CAGR of 27.8% between 2026 and 2035.

  • The rise of hub-to-hub operations has been attributed to its feasibility when considering today’s capabilities of autonomous vehicles. As compared to complicated driving in urban settings, driving from one hub to another is usually done on highways where there is less variability, thus making this type of operation ideal for testing the feasibility of Level 4 autonomous vehicles.
  • It is the infrastructure and logistics coordination enabled by hub-to-hub approaches that become important in this case. By allowing cargo movement from one specified distribution center to another, companies can create transfer hubs in which deliveries for first and last mile operations will be done manually, whereas autonomous vehicles will operate on long-distance routes.

U.S. Autonomous Long-Haul Trucking Market Size, 2022 – 2035, (USD Billion)

The U.S. autonomous long-haul trucking market reached USD 1.1 billion in 2025 and growing at a CAGR of 27.4% between 2026-2035.

  • Because of the dominant position in logistics, the U.S. has attracted significant attention in pilot testing and commercialization of autonomous long-haul trucks. The extensive highway system, large freight flows, and presence of technology developers and OEMs create ideal conditions for conducting validation on a large scale. In addition, hub-to-hub transport is especially common, as this type of operation is consistent with the level of autonomy currently available.
  • Fragmented but still evolving regulatory support plays an essential role in the successful deployment of self-driving trucks. In states like Texas, for example, regulatory support and infrastructure development facilitate their adoption. Another significant driver behind their widespread implementation in the United States is the structural need for more cost-effective ways of delivering goods amid the ongoing shortage of drivers and labor.

The North America region is valued at USD 1.3 billion in 2025. The market for autonomous long-haul trucking is expected to grow at the CAGR of 27% from 2026 to 2035.

  • North America accounted for 40.3% of the autonomous long-haul trucking market in 2025, led by U.S. interstate suitability and large‑fleet concentration. Federal evaluation via FMCSA’s ACE program three Class 8 tractors demonstrating L3 behaviors like automated lane changes and sensor‑failure management has clarified test design and enforcement interaction protocols relevant to L4 evolution.
  • Tax credits up to USD 40,000 per truck and nearly USD 1 billion in grant funding support heavy‑duty electrification that pairs naturally with autonomy. State frameworks in Arizona, Texas, Florida, and Nevada underpin cross‑state pilots, while corridor planning increasingly aligns depot power upgrades with MCS‑compatible en‑route charging. 24/7 hub‑to‑hub service on 300-1,500 km lanes raises tractor utilization and shortens delivery windows.  

The Europe region holds 26.3% of the autonomous long-haul trucking market in 2025 and is expected to grow at a CAGR of 26.4% between 2026 and 2035.

  • Regulation frames the European trajectory. Germany’s 2021 Act on Autonomous Driving created the world’s first statutory foundation for L4 on public roads, followed by ALKS type approvals up to 95 km/h and national steps toward C‑ITS coverage and PKI for secure V2X communication.
  • This institutional clarity pulls investment into motorway logistics links and depot upgrades, with ATLAS‑L4 demonstrating motorway connections between logistics centers and AUTOGVZ tackling automated heavy‑goods applications. Roadworks warning systems equipped with C‑ITS reduce uncertainty for autonomous navigation, and standards alignment with MCS supports long‑haul electric freight corridors. Germany remains the largest European market by capability build‑out and policy readiness, with spillover to neighboring EU corridors as C‑ITS and charging coverage expand.

Germany autonomous long-haul trucking market is growing quickly in Europe, with a CAGR of 26.6% between 2026 and 2035.

  • Germany occupies a central position within the continent’s independent trucking framework, owing to its robust automotive sector and its superior engineering abilities. The logistics systems and Autobahns in Germany are ideal for testing out and implementing Level 4 autonomous trucks, especially in long-haul scenarios.
  • Germany has been working towards the promotion of zero-emissions mobility, which ties into its climate goals within the larger context of the EU’s efforts. Collaboration between industries is further boosting advancements, evidenced by the February 2026 deal between Waabi and Volvo Autonomous Solutions, which is particularly pertinent to the European market because Volvo has a significant presence there.

The Asia Pacific region is expected to grow at the fastest CAGR of 27.8% between 2026 and 2035 in the autonomous long-haul trucking market.

  • Asia Pacific is the fastest‑growing regional market, led by policy‑driven commercialization in China and ministry‑led trunk‑route programs in Japan. China reported over 6,000 unmanned delivery vehicles in large‑scale operation by the end of 2024 and more than 100 cities granting access by mid‑2025 indicators of a deployment system geared for rapid scaling.
  • Dominance in electric trucks over 80% of global sales in 2024 provides a natural platform for autonomous integration at fleet scale. Japan’s MLIT solicited freight corridor demonstrations aimed at addressing labor shortages and productivity, building templates for repeatable route selection and safety validation. The result is a region where commercialization density in China, template‑driven deployment in Japan, and rising investment in Korea and India converge to shift the global center of gravity eastward for autonomous long‑haul trucking.

China is estimated to grow with a CAGR of 28.5% in the projected period between 2026 and 2035, in the Asia Pacific autonomous long-haul trucking market.

  • Autonomous trucking for long-distance routes is progressing at a tremendous rate in China due to the support from the government, high logistics demands, and rapid commercialization. The Chinese have created several pilot zones that are geared towards deploying Level 4 autonomous trucks across their highways.
  • Government policy is key, with national-level strategies encouraging the adoption of self-driving cars, smart infrastructure, and artificial intelligence. China's capacity to leverage 5G, V2X connectivity, and intelligent logistics networks gives it a solid base to scale up autonomous trucking operations.

Brazil is estimated to grow with a CAGR of 23.8% between 2026 and 2035, in the Latin America autonomous long-haul trucking market.

  • Brazil’s independent long-distance trucking market is at an early stage but has great potential owing to its dependency on roads for transportation of goods. As stated by the National Confederation of Transport, the largest share of the transportation market belongs to road transport, especially when it comes to agriculture and mining. There are certain issues associated with the development of the sector, such as a lack of regulation and infrastructure.
  • As Vale announced in December 2025, in a partnership with Caterpillar and Sotreq, it will deploy more autonomous haul trucks for its iron ore mining processes at the Carajás site, which spans the Pará State, Brazil. The plan will be implemented within a period of five years, through which operational efficiency and safety will be improved. This case illustrates the initial adoption of autonomous haul trucks within the Brazilian transportation context, laying the foundation for future use cases.

UAE to experience substantial growth in the Middle East and Africa autonomous long-haul trucking market in 2025.

  • Being a logistics hub connecting Europe, Asia, and Africa, the UAE has large volumes of cargo that would benefit from autonomy. The Dubai port of Jebel Ali is one of the most active in terms of container handling in the world, whereas the Abu Dhabi port of Khalifa is a developing regional logistics hub. An autonomous truck running between such facilities and inland distribution centers, free trade zones, and border crossings would have great advantages to offer.
  • Additionally, the United Arab Emirates is establishing its position as an innovator in self-driving systems through government-led programs. One such program is the UAE Strategy for Artificial Intelligence 2031, which will be creating potential use cases on integrating technologies like autonomous vehicles. The nation’s logistics industry, due to its advantageous geographical location and infrastructure, is ideally suited to implement autonomous trucks, especially in port and free zone environments.

Autonomous Long-Haul Trucking Market Share

The top 7 companies in the autonomous long-haul trucking industry are Applied Intuition, Continental, Daimler Truck (Torc Robotics), Einride, Plus.ai, Pony AI and TRATON Group 49.5% of the market in 2025.

  • Applied Intuition provides a software platform that helps developers and OEMs in autonomous trucking create, test, and validate Level 2 to Level 4 driving systems. The platform also supports fleet software integration, vehicle operating systems, and real-world deployment.
  • Continental works with partners like Aurora to offer hardware and system integration solutions for autonomous trucking. Their products include ADAS sensors, fallback systems, and scalable architecture to ensure safety in commercial freight and highway trucking.
  • Daimler Truck, through its wholly owned subsidiary Torc Robotics, develops Level 4 autonomous systems for hub-to-hub freight operations. They use Freightliner Cascadia trucks, combining Torc’s software with Daimler’s vehicles for long-haul commercial use.
  • Einride provides a digital freight system that includes cabless autonomous electric trucks, human-supervised operations, and the Saga platform. This system helps shippers manage logistics in real-time and supports sustainable long-haul transport.
  • Plus.ai works with OEMs like TRATON Group, Hyundai, and IVECO to develop the SuperDrive AI system for Level 4 trucking. Their goal is to produce factory-ready autonomous trucks for hub-to-hub freight operations.
  • Pony AI creates autonomous systems for freight and trucking, focusing on highway driving and platooning. They run pilot programs to test and validate their systems in China and other markets.
  • TRATON , which includes Scania, MAN, and International, develops commercial truck platforms with built-in autonomy. They work with partners like Plus.ai to integrate these features into vehicles for global freight automation.

Autonomous Long-Haul Trucking Market Companies

Major players operating in the autonomous long-haul trucking industry are:

  • Applied Intuition
  • Aurora Innovation
  • Continental
  • Daimler Truck (Torc Robotics)
  • Einride
  • Hino Motors
  • Kodiak Robotics
  • Plus.ai
  • Pony AI
  • TRATON 
  • Applied Intuition helps OEMs and fleets develop autonomous trucking systems faster. Their platform uses AI tools and validation systems to simplify building, testing, and deployment.
  • Continental, a Tier-1 supplier, provides key hardware for autonomous trucks. This includes sensors, radar, braking systems, and ADAS technologies for safe and reliable operations.
  • Daimler Truck works with Torc Robotics to combine Daimler’s truck manufacturing with Torc’s software expertise. They focus on Level 4 hub-to-hub trucking and test freight operations through commercial pilots.
  • Einride offers electric autonomous freight pods with a focus on sustainability. They run on controlled logistics routes and partner with global shippers for eco-friendly transport.
  • Plus.ai develops AI-based autonomous driving software. Their SuperDrive system is integrated into OEM trucks through partnerships with TRATON Group, IVECO, and Hyundai for large-scale deployment.
  • Pony AI benefits from strong support in China and focuses on highway freight automation. They work on platooning technologies and expanding inter-city logistics for autonomous trucking.
  • TRATON Group, which includes Scania, MAN, and International, uses its global manufacturing and fleet networks. They partner with companies like Plus.ai to bring autonomous trucking to their vehicle platforms.

Autonomous Long-Haul Trucking Industry News

  • In March 2026, Applied Intuition and Isuzu Motors will launch second-generation autonomous trucks on a 450-kilometer logistics route in Japan. These trucks, powered by Applied's autonomy model and real-time data engine, are a big step toward Level 4 driverless operations and aim to help with Japan's driver shortage. Now, they are upgrading to new hardware and software and expanding to a new hub-to-hub logistics route.

  • In March 2026, International Motors and Ryder System started a pilot program using a factory-integrated autonomous vehicle (AV) in live freight operations. Ryder is the first customer in International's autonomous fleet trial program. The pilot will test the autonomous technology in real-world long-haul logistics and find the best use cases and immediate benefits for long-haul transport.

  • In February 2026, Waabi partnered with Volvo Autonomous Solutions to develop and deploy autonomous trucks. This partnership combines Waabi’s generative AI technology with Volvo’s expertise in automation and safety. Together, they aim to make freight transportation safer, more efficient, and more sustainable.
  • In April 2025, Hyundai Motor Company and Plus presented their plan at the Advanced Clean Transportation (ACT) Expo 2025 to work on autonomous hydrogen-powered fuel cell trucks. They are combining Hyundai's hydrogen-powered XCIENT Fuel Cell truck with Plus's AI-based SuperDrive software to create a scalable and cost-effective solution for long-haul freight while reducing the carbon footprint of commercial transportation.

The autonomous long-haul trucking market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) and volume (units) from 2022 to 2035, for the following segments:

Market, By Automation Level

  • Level 3
  • Level 4
  • Level 5

Market, By Propulsion

  • Diesel
  • Electric
  • Hybrid

Market, By Vehicle Class

  • Class 7 (26,001–33,000 lbs GVWR)
  • Class 8 (33,001+ lbs GVWR)

Market, By Application

  • Hub-to-Hub Operations
  • Long-Distance Freight Transport
  • Port & Terminal Logistics
  • Cross-Border Logistics
  • Others

Market, By End Use

  • Logistics & Fleet Operators
  • Retail & E-Commerce
  • FMCG & Food Supply Chains
  • Industrial Goods Suppliers
  • Others 

The above information is provided for the following regions and countries:

  • North America
    • US
    • Canada
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Russia
    • Netherlands
    • Norway
    • Sweden
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • Singapore
    • Vietnam
    • Malaysia
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Chile
  • MEA
    • South Africa
    • Saudi Arabia
    • UAE
Authors:  Preeti Wadhwani, Satyam Jaiswal

Research methodology, data sources & validation process

This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.

Our 6-step research process

  1. 1. Research design & analyst oversight

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  2. 2. Primary research

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  3. 3. Data mining & market analysis

    Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.

  4. 4. Market sizing

    Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.

  5. 5. Forecast model & key assumptions

    Every forecast includes explicit documentation of:

    • ✓ Key growth drivers and their assumed impact

    • ✓ Restraining factors and mitigation scenarios

    • ✓ Regulatory assumptions and policy change risk

    • ✓ Technology adoption curve parameter

    • ✓ Macroeconomic assumptions (GDP growth, inflation, currency)

    • ✓ Competitive dynamics and market entry/exit expectations

  6. 6. Validation & quality assurance

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    Our triple-layer validation process ensures maximum data reliability:

    • ✓ Statistical Validation

    • ✓ Expert Validation

    • ✓ Market Reality Check

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  • Regulatory filings

    Government procurement records and policy documents

  • Academic research

    University studies and specialist institution reports

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  • GMI archive

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  • Trade data

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Parameters studied & evaluated

Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →

Frequently Asked Question(FAQ) :
How big is the autonomous long-haul trucking market?
The autonomous long-haul trucking market size was estimated at USD 3.2 billion in 2025 and is expected to reach USD 3.9 billion in 2026.
What is the 2035 forecast for the autonomous long-haul trucking market?
The market is projected to reach USD 33.1 billion by 2035, growing at a CAGR of 26.9% from 2026 to 2035.
Which region dominates the autonomous long-haul trucking market?
North America currently holds the largest share of the autonomous long-haul trucking market in 2025.
Which region is expected to grow the fastest in the autonomous long-haul trucking market?
Asia Pacific is projected to be the fastest-growing region during the forecast period.
Who are the major players in autonomous long-haul trucking market?
Some of the major players in autonomous long-haul trucking market include Applied Intuition, Continental, Daimler Truck (Torc Robotics), Einride, TRATON, which collectively held 46.5% market share in 2025.
How much revenue did the level 3 segment generate in 2025?
The level 3 segment generated approximately USD 2.8 billion in 2025.
Autonomous Long-Haul Trucking Market Scope
  • Autonomous Long-Haul Trucking Market Size

  • Autonomous Long-Haul Trucking Market Trends

  • Autonomous Long-Haul Trucking Market Analysis

  • Autonomous Long-Haul Trucking Market Share

Authors:  Preeti Wadhwani, Satyam Jaiswal
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Premium Report Details:

Base Year: 2025

Companies Profiled: 23

Tables & Figures: 305

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