Global Commercial Vehicle Autonomous Driving Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Commercial Vehicle Autonomous Driving market size was valued at US$ 5971 million in 2024 and is forecast to a readjusted size of USD 39500 million by 2031 with a CAGR of 31.3% during review period.
Automated Driving System, also known as an autonomous vehicle (AV or auto), driverless car, or robotic car (robo-car), is a vehicle that is capable of sensing its environment and moving safely with little or no human input. The future of this technology may have an impact on multiple industries and other circumstances.
Self-driving cars combine a variety of sensors to perceive their surroundings, such as radar, lidar, sonar, GPS, odometry and inertial measurement units. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.
Commercial car is designed for professional use as load-carriers and tow vehicles. These can include utes, vans and light trucks. Cargo space, payload and running costs are more important considerations over comfort and design, but safety is also very important as most commercials are also the driver’s workplace.
For commercial vehicles, there are many mandatory regulatory requirements, especially the Ministry of Transport's regulations on driving assistance, intelligent driving information security, data security, and intelligent connected vehicle production access management methods. These regulations not only promote the research and development of commercial vehicle intelligent driving technology, but also provide clear directions and standards for its commercial development.
Policy planning guidance: The Chinese government attaches great importance to the development of unmanned driving technology and has introduced a series of policy measures to encourage technological innovation and application promotion. For example, the "Technical Roadmap for Intelligent Connected Vehicles" clearly proposes the goal of achieving large-scale mass production of conditional autonomous driving (L3 level) vehicles by 2025; the "New Energy Vehicle Industry Development Plan (2021-2035)" emphasizes the need to strengthen the construction of vehicle networking infrastructure and promote the industrialization of intelligent driving technology. These policy plans provide strong support and guarantee for the development of the commercial vehicle autonomous driving market.
With the increase in the purchase and operation costs of commercial vehicles, as well as the need to reduce operating and fuel costs, autonomous driving technology can effectively improve fuel saving rates and reduce labor costs after L3 and L4 levels. This is of great significance to alleviating the difficulties in recruiting drivers for commercial vehicle trunk logistics and closed areas, thereby promoting the development of the commercial vehicle autonomous driving market.
Commercial vehicle autonomous driving has broad application prospects in segmented scenarios such as mining areas, ports, trunk logistics, airports, and logistics parks. These scenarios have obvious pain points such as insufficient human resources and frequent safety accidents, and the demand for autonomous driving technology is more urgent. With the continuous advancement of technology and the acceleration of commercialization, these scenarios will become important growth points in the commercial vehicle autonomous driving market.
This report is a detailed and comprehensive analysis for global Commercial Vehicle Autonomous Driving market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Commercial Vehicle Autonomous Driving market size and forecasts, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Commercial Vehicle Autonomous Driving
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Commercial Vehicle Autonomous Driving market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Bosch, Waymo (Alphabet), GM Cruise, Apollo (Baidu), Tesla, Continental, Aptiv, ZF Group, Caterpillar, Komatsu, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Commercial Vehicle Autonomous Driving market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software
Market segment by Application
Mining
Logistics
Others
Market segment by players, this report covers
Bosch
Waymo (Alphabet)
GM Cruise
Apollo (Baidu)
Tesla
Continental
Aptiv
ZF Group
Caterpillar
Komatsu
Autonomous Solutions (ASI)
Volvo
Rio Tinto
i-tage
Rock-ai
WAYTOUS
Maxsense
Eacon
Sany Intelligent Mine
CIDI
Shanghai Boonray Smart Technology
Gocom
Baidu Apollo
Yuexin Intelligence
Westwell Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Commercial Vehicle Autonomous Driving product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Commercial Vehicle Autonomous Driving, with revenue, gross margin, and global market share of Commercial Vehicle Autonomous Driving from 2020 to 2025.
Chapter 3, the Commercial Vehicle Autonomous Driving competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Commercial Vehicle Autonomous Driving market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Commercial Vehicle Autonomous Driving.
Chapter 13, to describe Commercial Vehicle Autonomous Driving research findings and conclusion.
Automated Driving System, also known as an autonomous vehicle (AV or auto), driverless car, or robotic car (robo-car), is a vehicle that is capable of sensing its environment and moving safely with little or no human input. The future of this technology may have an impact on multiple industries and other circumstances.
Self-driving cars combine a variety of sensors to perceive their surroundings, such as radar, lidar, sonar, GPS, odometry and inertial measurement units. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.
Commercial car is designed for professional use as load-carriers and tow vehicles. These can include utes, vans and light trucks. Cargo space, payload and running costs are more important considerations over comfort and design, but safety is also very important as most commercials are also the driver’s workplace.
For commercial vehicles, there are many mandatory regulatory requirements, especially the Ministry of Transport's regulations on driving assistance, intelligent driving information security, data security, and intelligent connected vehicle production access management methods. These regulations not only promote the research and development of commercial vehicle intelligent driving technology, but also provide clear directions and standards for its commercial development.
Policy planning guidance: The Chinese government attaches great importance to the development of unmanned driving technology and has introduced a series of policy measures to encourage technological innovation and application promotion. For example, the "Technical Roadmap for Intelligent Connected Vehicles" clearly proposes the goal of achieving large-scale mass production of conditional autonomous driving (L3 level) vehicles by 2025; the "New Energy Vehicle Industry Development Plan (2021-2035)" emphasizes the need to strengthen the construction of vehicle networking infrastructure and promote the industrialization of intelligent driving technology. These policy plans provide strong support and guarantee for the development of the commercial vehicle autonomous driving market.
With the increase in the purchase and operation costs of commercial vehicles, as well as the need to reduce operating and fuel costs, autonomous driving technology can effectively improve fuel saving rates and reduce labor costs after L3 and L4 levels. This is of great significance to alleviating the difficulties in recruiting drivers for commercial vehicle trunk logistics and closed areas, thereby promoting the development of the commercial vehicle autonomous driving market.
Commercial vehicle autonomous driving has broad application prospects in segmented scenarios such as mining areas, ports, trunk logistics, airports, and logistics parks. These scenarios have obvious pain points such as insufficient human resources and frequent safety accidents, and the demand for autonomous driving technology is more urgent. With the continuous advancement of technology and the acceleration of commercialization, these scenarios will become important growth points in the commercial vehicle autonomous driving market.
This report is a detailed and comprehensive analysis for global Commercial Vehicle Autonomous Driving market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Commercial Vehicle Autonomous Driving market size and forecasts, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Commercial Vehicle Autonomous Driving market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Commercial Vehicle Autonomous Driving
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Commercial Vehicle Autonomous Driving market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Bosch, Waymo (Alphabet), GM Cruise, Apollo (Baidu), Tesla, Continental, Aptiv, ZF Group, Caterpillar, Komatsu, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Commercial Vehicle Autonomous Driving market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software
Market segment by Application
Mining
Logistics
Others
Market segment by players, this report covers
Bosch
Waymo (Alphabet)
GM Cruise
Apollo (Baidu)
Tesla
Continental
Aptiv
ZF Group
Caterpillar
Komatsu
Autonomous Solutions (ASI)
Volvo
Rio Tinto
i-tage
Rock-ai
WAYTOUS
Maxsense
Eacon
Sany Intelligent Mine
CIDI
Shanghai Boonray Smart Technology
Gocom
Baidu Apollo
Yuexin Intelligence
Westwell Technology
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Commercial Vehicle Autonomous Driving product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Commercial Vehicle Autonomous Driving, with revenue, gross margin, and global market share of Commercial Vehicle Autonomous Driving from 2020 to 2025.
Chapter 3, the Commercial Vehicle Autonomous Driving competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Commercial Vehicle Autonomous Driving market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Commercial Vehicle Autonomous Driving.
Chapter 13, to describe Commercial Vehicle Autonomous Driving research findings and conclusion.
Table of Contents
151 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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