Automotive Data Analytics is to examining data sets in order to obtain results about the information they contain, increasingly with the help of specialized systems and software.
Predictive maintenance is one of the new trends in automotive in which it identifies the vehicle maintenance before they occur.
Over the next five years, Planet Market Reports projects that Automotive Data Analytics will register a xx% CAGR in terms of revenue, reach US$ xx million by 2023, from US$ xx million in 2017.
In this report, Planet Market Reports studies the present scenario with the base year being 2017 and the growth prospects of the global Automotive Data Analytics market for 2018-2023.
This report presents a comprehensive overview, market shares and growth opportunities of Automotive Data Analytics market by product type, application, key companies, and key regions.
To calculate the market size, Planet Market Reports considers value generated from the sales of the following segments:
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Segmentation by product type:
On-Premises
On-Demand
Segmentation by application:
Traffic Management
Safety and Security Management
Driver and User Behavior Analysis
Warranty Analytics
Dealer Performance Analysis
Others
We can also provide the customized separate regional or country-level reports, for the following regions:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
SAP SE
Microsoft
Bosch Software Innovations
IBM
Oracle
Sight Machine
ZenDrive
PitStop
Carfit
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
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Research objectives
To study and analyze the global Automotive Data Analytics market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Automotive Data Analytics market by identifying its various sub-segments.
Focuses on the key global Automotive Data Analytics players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in the next few years.
To analyze the Automotive Data Analytics with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market growth potential, opportunities, drivers, industry-specific challenges and risks.
To project the size of Automotive Data Analytics submarkets, with respect to key regions along with their respective key countries.
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
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