Predictive Analytics With Big Data in the Automotive Market 2018-2028 - Visiongain Report

LONDON, May 24, 2018 /PRNewswire/ --

Forecasts by (Inventory Management, Retail Sales, Production, Maintenance) Plus Analysis of Applications in Artificial Intelligence (AI), Machine Learning, Autonomous Vehicles, Connected Cars, Cloud, Internet Of Things (IoT), Infotainment, Connectivity, Sensors, Telematics, ADAS & Usage-Based Insurance (UBI)

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Do you need definitive predictive analytics in automotive market data?
• Succinct predictive analytics in automotive market analysis?
• Predictive analytics in automotive technological insight?
• Clear competitor analysis?
• Actionable business recommendations?

Read on to discover how this definitive report can transform your own research and save you time. 

The rising number of connected vehicles and adoption of transportation predictive analytics has led Visiongain to publish this unique report, which may be crucial to your company's improved success. The $370 million predictive analytics in automotive market is expected to flourish in the next few years because of the shift from BI to advanced analytics techniques and also because autonomous vehicles and the connected car technology are expected to feed through in the latter part of the decade driving growth to new heights. If you want to be part of this growing industry, then read on to discover how you can maximise your investment potential.

Report highlights 

• 142 quantitative tables, charts, and graphs 

• Analysis of key vendors of predictive analytics in the automotive sector
• IBM
• SAS
• Dataiku
• RapidMiner
• automotiveMastermind

• Profiles of key automotive OEMs involved in predictive analytics
• BMW Group
• Volvo Group
• Toyota Motor Corporation
• Daimler AG
• Volkswagen group
• General Motors Company
• Ford Motor Company
• Honda Motor Corporation • Hyundai Motor Corporation

• Global predictive analytics in automotive sector market outlook and analysis from 2018-2028 

• Predictive analytics in automotive submarket forecasts and analysis from 2018-2028
• Inventory Management Submarket by Region Forecast 2018-2028
• Production Submarket by Region Forecast 2018-2028
• Sales/Retail Submarket by Region Forecast 2018-2028
• Maintenance Submarket by Region Forecast 2018-2028

• Regional Predictive Analytics in Automotive Market Forecast 2018-2028
• Americas Predictive Analytics in Automotive Market Forecast 2018-2028
• EMEA Predictive Analytics in Automotive Market Forecast 2018-2028
• APAC Predictive Analytics in Automotive Market Forecast 2018-2028

• Qualitative analysis of factors influencing automotive predictive analytics market dynamics
• SWOT analysis
• Five forces analysis of the predictive analytics automotive market
• Key developments of the predictive analytics automotive market
• Market challenges in the predictive analytics automotive market
• Trends in the predictive analytics automotive market
• Market drivers in the predictive analytics automotive market

• Key questions answered
• What does the future hold for predictive analytics in the automotive industry?
• Where should you target your business strategy?
• Which predictive analytics in automotive applications should you focus upon?
• Which disruptive predictive analytics automotive technologies should you invest in?
• Which companies should you form strategic alliances with?
• Which automotive company is likely to success and why?
• What business models should you adopt?
• What predictive analytics trends should you be aware of?

• Target audience
• Automobile manufacturers
• Big data specialists
• Technology companies
• Software providers
• Automotive retailers
• Automobile research organisations
• Connected car companies
• Autonomous vehicle developers
• Business intelligence companies
• Component suppliers
• Technologists
• R&D staff
• Consultants
• Analysts
• CEO's
• CIO's
• COO's
• Business development managers
• Investors
• Governments
• Agencies
• Industry organisations
• Banks

To request a report overview of this report please contact Sara Peerun at [email protected] or refer to our website : https://www.visiongain.com/Report/2109/Predictive-Analytics-with-Big-Data-in-the-Automotive-Market-2018-2028

Companies Listed 

Alpine Data
American Honda Motor Co., Inc.
Angoss
Aster Data Systems
Audi AG
automotiveMastermind Inc.
BMW Group
BOARD International
China Unicom
Chrysler
Control-Tec LLC,
Coyote Systems
Daimler
Daimler Buses
Daimler Financial Services
Daimler Trucks
Dataiku
Dell EMC
Delphi Automotive PLC
Domino Data Lab
Equifax
EverString
Experian
Facebook
Faurecia
FICO
Ford Motor Credit Company LLC.
Ford Smart Mobility LLC
General Motors
General Motors Financial Company, Inc. (GM Financial).
Goodyear Tire & Rubber Company
Google
Groupe Renault
Halo
Here
Honda Motor Co., Ltd. (Honda)
Hyundai Motor Corporation
Hyundai Motor Group
IBM
Infer
Jaguar Land Rover
Kia Motors
KNIME
Mack Trucks
Mercedes-AMG
Mercedes-Benz Cars
Mercedes-Benz Research & Development India (MBRDI)
Mercedes-Benz Vans
Microsoft Corporation
Navistar
Nissan Motor Company
Oracle
Pivotal
Porsche
Radius
RapidMiner
Renault SA
Renault Trucks
Renault-Nissan
Salford Systems
SAP
SAS Institute Inc.
Tableau
Teradata
Tesla
Tibco
TMW Systems
Toyota Financial Services (TFS)
Toyota Motor Corporation
Toyota Motorsport GMBG
UD Trucks
Volkswagen
Volvo Buses
Volvo Construction Equipment
Volvo Financial Services
Volvo Group
Volvo Penta
Volvo Trucks

To see a report overview please e-mail Sara Peerun on [email protected]

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