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
17-Feb-2014
North America
$3,950.00
Special Price $2,962.50 save 25 %
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)
Popular Topics
No Index | Yes |
---|---|
Podcast | No |
Author | Niranjan Manohar |
Industries | Automotive |
WIP Number | ND31-01-00-00-00 |
Is Prebook | No |