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Heavy-Duty Autonomous Vehicle Market

Heavy-Duty Autonomous Vehicle Market Size, Share & Trends Analysis Report By Application (Logistics, Public Transportation, Construction and Mining, Others), By Propulsion Type, By Vehicle Type, By Level of Autonomy, By Sensor Type, By Region, And By Segment Forecasts, 2023-2031

Report ID : 1974 | Published : 2023-08-15 | Pages: 180 | Format: PDF/EXCEL

The Heavy-Duty Autonomous Vehicle Market Size is valued at 133.10 Bn in 2022 and is predicted to reach 988.57 Bn by the year 2031 at a 25.1 % CAGR during the forecast period for 2023-2031.

Heavy-Duty Autonomous Vehicle Market

Self-driving vehicles are designed for duties that require a significant load-carrying capacity and the ability to navigate challenging terrain, such as hauling materials and goods through mines and construction sites. Heavy-duty autonomous vehicles use a variety of technologies to traverse their environment and determine how to operate safely and efficiently. These include LiDAR sensors, GPS, and complex algorithms. They are frequently designed to run continuously with little help from people and can be powered by internal combustion engines or electricity.

The advantages of heavy-duty autonomous vehicles include increased productivity and efficiency as well as cheaper labour expenses. They are frequently designed to run continuously with little help from people and can be powered by internal combustion engines or electricity. The advantages of heavy-duty autonomous vehicles include increased productivity and efficiency as well as cheaper labour expenses. They are being developed and deployed by a range of companies in the transportation, logistics, construction, and mining industries, and as technology advances, it is projected that they will play an increasingly larger role in the future of these sectors. 

Since human drivers are not necessary for autonomous trucks to operate, there is no longer a need to pay for wages, benefits, and overtime. Autonomous trucks also have the ability to work constantly without the need for breaks or shift changes, boosting productivity and further lowering labour expenses. Additionally, autonomous trucks can cut fuel usage. These vehicles can be designed to optimise their routes, steer clear of traffic, and spend less time idling, all of which saves fuel. Additionally, autonomous trucks may keep a constant speed, minimise abrupt acceleration and braking, and choose the route that uses the least gasoline, resulting in additional fuel savings.

Competitive Landscape:

Some Major Key Players In The Heavy-Duty Autonomous Vehicle Market:

  • AB Volvo
  • General Motors
  • Mercedes-Benz Group AG
  • BMW Group
  • Volkswagen AG
  • PACCAR Inc.
  • Renault Trucks
  • Traton Group
  • Shanghai Newrizon Technology Co., Ltd.
  • New Flyer (NFI Group)
  • Karsan
  • Proterra
  • 2getthere B.V.
  • Apollo (Baidu)
  • Magna International Inc.
  • ZF Friedrichshafen AG
  • Zoox, Inc.
  • Cruise LLC
  • Schaeffler AG
  • P3 Mobility
  • HOLON GmbH
  • Embark Trucks Inc.
  • Kodiak Robotics, Inc.
  • TuSimple
  • Torc Robotics
  • Aurora Innovation Inc.
  • PlusAI, Inc.
  • Waymo LLC
  • Mobileye 

Market Segmentation: 

The Heavy-Duty Autonomous Vehicle market is segmented on the basis of Application Propulsion Type, Vehicle Type, Level of Autonomy, and Sensor Type. Based on Application the market is divided into, Logistics, Public Transportation, Construction and Mining, and Others). The Propulsion Type segment consists of Internal Combustion Engine Vehicles and Electric Vehicles. Whereas, the Vehicle Type segment comprises Heavy Trucks, Heavy Buses, and Roboshuttles. Based on the Level of Autonomy, the market is segmented into Fully Autonomous Vehicles, Semi-Autonomous Vehicles. Lastly, By Sensor Type, the market is divided into LiDAR, RADAR, Camera, and Others.  

Based On Level Of Autonomy, The Semi-Autonomous Segment Is Accounted As A Major Contributor In The Heavy-Duty Autonomous Vehicle Market 

The market was led by semi-autonomous, and this trend is estimated to continue during the projection period. For efficient driving, nearly all of the new-generation vehicles on the market include semi-autonomous technology. As a result, the segment's growth is anticipated to be fueled by the rapid adoption of semi-autonomous vehicles with technologies like ADAS, autopilot, automatic vehicle braking and parking systems, among others. 

In The Region, The North America Heavy-Duty Autonomous Vehicle Market Holds A Significant Revenue Share 

North America will dominate the market. The government's promotion of autonomous driving technologies, the region's rapidly growing economy and a well-established manufacturing sector, are all factors in this. Additionally, as heavy-duty vehicles are required in industries like mining, construction, logistics, and transportation to supply supplies and freight, it is projected that these industries would have the biggest demand for autonomous trucks. The increased electrification of vehicles is also driving the market in North America as a result of infrastructure development by businesses. Incorporating x-by-wire technology into electric vehicles is advancing autonomous driving.

Furthermore, Germany, the United Kingdom, and France are the countries that are most responsible for the market's expansion in Europe, which is a large market for autonomous trucks. The development of cutting-edge technology like AI and ADAS for autonomous driving is to blame. The high costs of adopting autonomous driving technologies, worries about the loss of truck driver jobs, and legislative barriers linked to the safety and liability of driverless trucks might all pose obstacles to the development of the market for autonomous trucks in Europe. 

Heavy-Duty Autonomous Vehicle Market Report Scope:

Report Attribute

Specifications

Market Size Value In 2022

USD 133.10 Bn

Revenue Forecast In 2031

USD 988.57 Bn

Growth Rate CAGR

CAGR of 25.1 % from 2023 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2023 to 2031

Historic Year

2019 to 2022

Forecast Year

2023-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Application, By Propulsion Type, By Vehicle Type, By Level of Autonomy, By Sensor Type

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia

Competitive Landscape

AB Volvo, General Motors, Mercedes-Benz Group AG, BMW Group, Volkswagen AG, PACCAR Inc., Renault Trucks, Traton Group, Shanghai Newrizon Technology Co., Ltd., New Flyer (NFI Group), Karsan, Proterra, 2getthere B.V., Apollo (Baidu), Magna International Inc., ZF Friedrichshafen AG, Zoox, Inc., Cruise LLC, Schaeffler AG, P3 Mobility, HOLON GmbH, Embark Trucks Inc., Kodiak Robotics, Inc., TuSimple, Torc Robotics, Aurora Innovation Inc., PlusAI, Inc., Waymo LLC, Mobileye

Customization Scope

Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape.

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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, 2019-2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 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, 2019-2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 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, 2019-2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 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, 2019-2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 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, 2019-2031
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 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, 2023-2031
10.1.2. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2023-2031
10.1.3. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2023-2031
10.1.4. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2023-2031
10.1.5. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By, Level of Autonomy 2023-2031
10.1.6. North America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts by country, 2023-2031

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, 2023-2031
10.2.2. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2023-2031
10.2.3. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2023-2031
10.2.4. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2023-2031
10.2.5. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy,2023-2031
10.2.6. Europe Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, 2023-2031

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, 2023-2031
10.3.2. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2023-2031
10.3.3. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2023-2031
10.3.4. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2023-2031
10.3.5. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2023-2031
10.3.6. Asia Pacific Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, 2023-2031

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, 2023-2031
10.4.2. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Vehicle Type, 2023-2031
10.4.3. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2023-2031
10.4.4. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type , 2023-2031
10.4.5. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2023-2031
10.4.6. Latin America Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, (US$ Million) 2023-2031

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, 2023-2031
10.5.3. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Propulsion Type, 2023-2031
10.5.4. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Sensor Type, 2023-2031
10.5.5. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2023-2031
10.5.6. Middle East & Africa Heavy-Duty Autonomous Vehicle Market revenue (US$ Million) by country, (US$ Million) 2023-2031

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

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

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
  • Mexico

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
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

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

 InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the Heavy-Duty Autonomous Vehicle Market?

Heavy-Duty Autonomous Vehicle Market expected to grow at a 25.1 % CAGR during the forecast period for 2023-2031

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

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