North America Self-driving Cars Market by Manufacturers, Countries, Type and Application, Forecast to 2022 - MarketResearchNest.com

North America Self-driving Cars Market by Manufacturers, Countries, Type and Application, Forecast to 2022

Description :
"Automatic/Self Driving Car is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous vehicles feel their surroundings with such techniques as radar, lidar...

Publish Date : 06-Dec-2017

No.Of Pages : 117

Offer : Enquire Now

Categories :

Published by :

"Automatic/Self Driving Car is a vehicle that is capable of sensing its environment and navigating without human input. Autonomous vehicles feel their surroundings with such techniques as radar, lidar, GPS, Odometry, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage.
Key technology and device used in Automatic/Self Driving Car will be discussed. Key players will be researched in this report."


Scope of the Report:
This report focuses on the Self-driving Cars in North America market, especially in United States, Canada and Mexico. This report categorizes the market based on manufacturers, countries, type and application.

Market Segment by Manufacturers, this report covers
Toyota
BMW
Volvo
Mercedes-Benz
Audi

Market Segment by Countries, covering
United States
Canada
Mexico

Market Segment by Type, covers
Passenger Vehicle
Commercial Vehicle

Market Segment by Applications, can be divided into
Home Use
Commercial USD

There are 15 Chapters to deeply display the North America Self-driving Cars market.

Chapter 1, to describe Self-driving Cars Introduction, product type and application, market overview, market analysis by countries, market opportunities, market risk, market driving force;

Chapter 2, to analyze the manufacturers of Self-driving Cars, with profile, main business, news, sales, price, revenue and market share in 2016 and 2017;

Chapter 3, to display the competitive situation among the top manufacturers, with profile, main business, news, sales, price, revenue and market share in 2016 and 2017;

Chapter 4, to show the North America market by countries, covering United States, Canada and Mexico, with sales, revenue and market share of Self-driving Cars, for each country, from 2012 to 2017;

Chapter 5 and 6, to show the market by type and application, with sales, price, revenue, market share and growth rate by type, application, from 2012 to 2017;

Chapter 7, 8 and 9, to analyze the segment market in United States, Canada and Mexico, by manufacturers, type and application, with sales, price, revenue and market share by manufacturers, types and applications;

Chapter 10, Self-driving Cars market forecast, by countries, type and application, with sales, price and revenue, from 2017 to 2022;

Chapter 11, to analyze the manufacturing cost, key raw materials and manufacturing process etc.

Chapter 12, to analyze the industrial chain, sourcing strategy and downstream end users (buyers);

Chapter 13, to describe sales channel, distributors, traders, dealers etc.

Chapter 14 and 15, to describe Self-driving Cars Research Findings and Conclusion, Appendix, methodology and data source

SECONDARY RESEARCH

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.

PRIMARY RESEARCH

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.

MARKET ENGINEERING

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.

EXPERT VALIDATION

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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