Global Automated Driving for Commercial Vehicles Market Professional Survey Report 2019
The global Automated Driving for Commercial Vehicles market was valued at million US$ in 2018 and will reach million US$ by the end of 2025, growing at a CAGR of during 2019-2025.
This report focuses on Automated Driving for Commercial Vehicles volume and value at global level, regional level and company level. From a global perspective, this report represents overall Automated Driving for Commercial Vehicles market size by analyzing historical data and future prospect.
Regionally, this report categorizes the production, apparent consumption, export and import of Automated Driving for Commercial Vehicles in North America, Europe, China, Japan, Southeast Asia and India.
For each manufacturer covered, this report analyzes their Automated Driving for Commercial Vehicles manufacturing sites, capacity, production, ex-factory price, revenue and market share in global market.
The following manufacturers are covered:
Amazon
Bosch
CNH Industrial
Daimler
Eaton
International Truck
Knorr-Bremse Group
PACCAR
Peloton Technology
Uber
Volkswagen Group
Volvo Group
WABCO
ZF Friedrichshafen
Segment by Regions
North America
Europe
China
Japan
Southeast Asia
India
Segment by Type
Foundation Driving Systems
Advanced Driver Assistance Systems
Full Automation
Segment by Application
Trucks
Buses
Others
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.