AÂ auto-driving car, also known as aÂ robot car,Â autonomous car,Â auto, orÂ driverless car,Â is aÂ vehicleÂ that is capable of sensing its environment and moving with little or noÂ human input.
Autonomous cars combine a variety of sensors to perceive their surroundings, such asÂ radar,Â computer vision,Â Lidar,Â sonar,Â GPS,Â odometryÂ andÂ inertial measurement units. AdvancedÂ control systemsÂ interpretÂ sensory informationÂ to identify appropriate navigation paths, as well as obstacles and relevantÂ signage.
The global Auto Driving Vehicles market is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on Auto Driving Vehicles volume and value at global level, regional level and company level. From a global perspective, this report represents overall Auto Driving Vehicles market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.
The following manufacturers are covered:
Ford Motor Company
Segment by Regions
Segment by Type
Segment by Application
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.
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