Strategic Analysis of the Impact of Big Data on the European and North American Automotive Industry

Strategic Analysis of the Impact of Big Data on the European and North American Automotive Industry

Big Data Strategies Expected to Lead to Explicit Annual Savings up to $800 per Vehicle

RELEASE DATE
17-Feb-2014
REGION
North America
Research Code: ND31-01-00-00-00
SKU: AU00064-NA-MR_08618

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Description

The aim of this market research study is to present and analyse the impact of Big Data in the automotive industry. Big Data is not a new phenomenon in the automotive industry. The key reason for the increased industry focus on Big Data is the increasing presence of connectivity, with the short- and mid-terms promising high-speed/high-bandwidth connectivity in automobiles. This market research study identifies strategies and market opportunities for the automotive industry in Europe and North America. This research is supported by case studies and strategic conclusions and recommendations. It also provides links to supplementary research studies.

Table of Contents

Executive Summary—Key Findings

Executive Summary—Key Societal, Technological, and Other Challenges for Big Data Implementation

Executive Summary—Savings Achieved Using Big Data

Executive Summary—Global Perspective on Big Data Industry

Executive Summary—Big Data Success Case Studies

Executive Summary—Associated Multimedia

Research Scope

Research Aims and Objectives

Key Questions this Study Will Answer

Research Background

Research Methodology

Overview of Big Data Basics

The 4 Pillars for an Effective Big Data Strategy

Measurement of Performance in Big Data Awareness Across Other Industry Verticals

Global Data Traffic and Big Data Market Revenue Potential

Evolution of the Big Data Industry

The Basics of Big Data Implementation

Why Big Data is Important for the Auto World

Why Big Data—The Business Case

Where it Can Help—Big Data Features and Services

Examples of Big Data Connectivity Features and Services

Examples of Big Data Connectivity Features and Services (continued)

Impact of Big Data and Connectivity Features

Big Data’s Biggest Implications to Profitability for OEM/dealers

Overview of Data for Lifetime of a Car—Required Data and Where to Obtain

Connected and Non-Connected Cars Creating Big Data Opportunities

Frost & Sullivan’s Explicit Savings from a Vehicle

OEM Involvement in Big Data

Opportunity for Predictive Diagnostics from Big Data

Opportunity for Digital Retailing Experience from Big Data

Opportunity for Digital Retailing Experience from Big Data (continued)

Opportunity for Digital Retailing Experience from Big Data (continued)

Opportunity for Usage-based Insurance from Big Data

BMW Case Study: Data Mining, Predictive Quality, and Maintenance

BMW Case Study: Internal App Suite for Data Tracking

Ford Case Study: Big Data for Quality, Manufacturing, and Process Streamlining

IBM Intelligent Commerce Experience (ICE) Case Study

Start-up Case Study—Dash Labs

TrueCar Case Study: Reducing Structural Inefficiencies with Big Data

Big Data in Aftermarket Retailing—AutoZone Case Study

Big Data for OEMs—Volvo Cars

Big Data for Cities Case Study—Boston Potholes

Big Data in Demand Sensing—Autometrics Case Study

Big Data in Understanding Driver Behavior in Massachusetts—Agnik Case Study

Key Conclusions and Future Outlook

The Last Word—3 Big Predictions

Legal Disclaimer

Assumptions for Calculating Savings from Big Data

Talent Needed in Big Data Workforce for the Automotive Industry

Abbreviations and Acronyms Used

Learn More—Next Steps

Market Engineering Methodology

Our Key Hot Topics Covered in Our Research

Passenger Vehicle—Telematics & Infotainment Research Program2013 Existing and Upcoming

Passenger Vehicle—Telematics & Infotainment Research ProgramPlanned Research 2014

Passenger Vehicle—Telematics & Infotainment Research ProgramExisting Research (2009–2012)

Related Research
The aim of this market research study is to present and analyse the impact of Big Data in the automotive industry. Big Data is not a new phenomenon in the automotive industry. The key reason for the increased industry focus on Big Data is the increasing presence of connectivity, with the short- and mid-terms promising high-speed/high-bandwidth connectivity in automobiles. This market research study identifies strategies and market opportunities for the automotive industry in Europe and North America. This research is supported by case studies and strategic conclusions and recommendations. It also provides links to supplementary research studies.
More Information
No Index Yes
Podcast No
Author Niranjan Manohar
Industries Automotive
WIP Number ND31-01-00-00-00
Is Prebook No