Heavy-Duty Autonomous Vehicle Market Size, Share and Trends Analysis 2026 to 2035

Report Id: 1974 Pages: 180 Last Updated: 22 January 2026 Format: PDF / PPT / Excel / Power BI
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Segmentation of Heavy-Duty Autonomous Vehicle Market-

Heavy-Duty Autonomous Vehicle Market By Application-

  • Logistics
  • Public Transportation
  • Construction and Mining
  • Others

Heavy-Duty Autonomous Vehicle Market Segmentation Analysis

Heavy-Duty Autonomous Vehicle Market By Propulsion Type -

  • Internal Combustion Engine Vehicles
  • Electric Vehicles
    • Battery Electric Vehicles (BEV)
    • Plug-in Hybrid Electric Vehicles (PHEV)
    • Hybrid Electric Vehicles (HEV)

Heavy-Duty Autonomous Vehicle Market By Vehicle Type -

  • Heavy Trucks
  • Heavy Buses
  • Roboshuttles

Heavy-Duty Autonomous Vehicle Market By Level of Autonomy-

  • Fully Autonomous Vehicles
  • Semi-Autonomous Vehicles

Heavy-Duty Autonomous Vehicle Market By Sensor Type-

  • LiDAR
  • RADAR
  • Camera
  • Others

Heavy-Duty Autonomous Vehicle Market By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Heavy-Duty Autonomous Vehicle Market Snapshot

Chapter 4. Global Heavy-Duty Autonomous Vehicle Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis of Metaverse Industry
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact on Metaverse Industry

Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis
5.1. By Application & Market Share, 2025 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Application:

5.2.1. Logistics
5.2.2. Public Transportation
5.2.3. Construction and Mining
5.2.4. Others

Chapter 6. Market Segmentation 2: By Vehicle Type Estimates & Trend Analysis
6.1. By Application & Market Share, 2025 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Vehicle Type:

6.2.1. Heavy Trucks
6.2.2. Heavy Buses
6.2.3. Roboshuttles

Chapter 7. Market Segmentation 3: By Propulsion Type Estimates & Trend Analysis
7.1. By Application & Market Share, 2025 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Propulsion Type:

7.2.1. Internal Combustion Engine Vehicles
7.2.2. Electric Vehicles

7.2.2.1. Battery Electric Vehicles (BEV)
7.2.2.2. Plug-in Hybrid Electric Vehicles (PHEV)
7.2.2.3. Hybrid Electric Vehicles (HEV)

Chapter 8. Market Segmentation 4: By Level of Autonomy Estimates & Trend Analysis
8.1. By Application & Market Share, 2025 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Level of Autonomy:

8.2.1. Semi-Autonomous Vehicles
8.2.2. Autonomous Vehicles

Chapter 9. Market Segmentation 5: By Sensor Type Estimates & Trend Analysis
9.1. By Application & Market Share, 2025 & 2035
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Sensor Type:

9.2.1. LiDAR
9.2.2. RADAR
9.2.3. Camera
9.2.4. Others

Chapter 10. Heavy-Duty Autonomous Vehicle Market Segmentation 6: Regional Estimates & Trend Analysis

10.1. North America

10.1.1. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Application, 2022 - 2035
10.1.2. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2022 - 2035
10.1.3. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2022 - 2035
10.1.4. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2022 - 2035
10.1.5. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By, Level of Autonomy 2022 - 2035
10.1.6. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts by country, 2022 - 2035

10.1.6.1. U.S.
10.1.6.2. Canada

10.2. Europe

10.2.1. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by By Application, 2022 - 2035
10.2.2. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2022 - 2035
10.2.3. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2022 - 2035
10.2.4. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2022 - 2035
10.2.5. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy,2022 - 2035
10.2.6. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, 2022 - 2035

10.2.6.1. Germany
10.2.6.2. Poland
10.2.6.3. France
10.2.6.4. Italy
10.2.6.5. Spain
10.2.6.6. UK
10.2.6.7. Rest of Europe

10.3. Asia Pacific

10.3.1. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by By Application, 2022 - 2035
10.3.2. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2022 - 2035
10.3.3. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2022 - 2035
10.3.4. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2022 - 2035
10.3.5. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2022 - 2035
10.3.6. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, 2022 - 2035

10.3.6.1. China
10.3.6.2. India
10.3.6.3. Japan
10.3.6.4. Australia
10.3.6.5. Rest of Asia Pacific

10.4. Latin America

10.4.1. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by By Application, 2022 - 2035
10.4.2. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2022 - 2035
10.4.3. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2022 - 2035
10.4.4. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type , 2022 - 2035
10.4.5. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2022 - 2035
10.4.6. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, (US$ Million) 2022 - 2035

10.4.6.1. Brazil
10.4.6.2. Rest of Latin America

10.5. Middle East & Africa

10.5.1. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by By Application, (US$ Million)
10.5.2. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2022 - 2035
10.5.3. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2022 - 2035
10.5.4. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2022 - 2035
10.5.5. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2022 - 2035
10.5.6. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, (US$ Million) 2022 - 2035

10.5.6.1. South Africa
10.5.6.2. GCC Countries
10.5.6.3. Rest of MEA

Chapter 11. Competitive Landscape

11.1. Major Mergers and Acquisitions/Strategic Alliances

11.2. Company Profiles

11.2.1. AB Volvo
11.2.2. General Motors
11.2.3. Mercedes-Benz Group AG
11.2.4. BMW Group
11.2.5. Volkswagen AG
11.2.6. PACCAR Inc.
11.2.7. Renault Trucks
11.2.8. Traton Group
11.2.9. Shanghai Newrizon Technology Co., Ltd.
11.2.10. New Flyer (NFI Group)
11.2.11. Karsan
11.2.12. Proterra
11.2.13. 2getthere B.V.
11.2.14. Apollo (Baidu)
11.2.15. Magna International Inc.
11.2.16. ZF Friedrichshafen AG
11.2.17. Zoox, Inc.
11.2.18. Cruise LLC
11.2.19. Schaeffler AG
11.2.20. P3 Mobility
11.2.21. HOLON GmbH
11.2.22. Embark Trucks Inc.
11.2.23. Kodiak Robotics, Inc.
11.2.24. TuSimple
11.2.25. Torc Robotics
11.2.26. Aurora Innovation Inc.
11.2.27. PlusAI, Inc.
11.2.28. Waymo LLC
11.2.29. Mobileye

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Heavy-Duty Autonomous Vehicle Market Size is valued at USD 251.74 Bn in 2025 and is predicted to reach USD 2,284.23 Bn by the year 2035.

Heavy-Duty Autonomous Vehicle Market expected to grow at a 24.8% CAGR during the forecast period for 2026-2035.

AB Volvo, General Motors, Mercedes-Benz Group AG, BMW Group, Volkswagen AG, PACCAR Inc., Renault Trucks, Traton Group, Shanghai Newrizon Technology Co

Heavy-Duty Autonomous Vehicle market is segmented on the basis of Application Propulsion Type, Vehicle Type, Level of Autonomy, and Sensor Type.

North America region is leading the Heavy-Duty Autonomous Vehicle Market.

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