This study provides an executive analysis of Big Data in the North American and European trucking industries. Using both primary and secondary research data, analyses and discussions cover key trends, total cost of ownership, and market opportunities by value chain participant. Big Data service revenue forecasts are provided for the period 2014–2022. Key conclusions and a future outlook are also provided.
Key Findings
Executive Summary—OEMs Leveraging Telematics Data
Executive Summary—Tier-1 Suppliers Foray into Telematics
Executive Summary—Evolving Partnership Models
Executive Summary—OEM/Tier-1 Analytics Application by Function
Executive Summary—Possible Average Annual Savings for OEMs and Fleets
Executive Summary—Case Study of UPS
Executive Summary—Big Data Application Areas and Partners for OEMs
Executive Summary—Big Data Application Areas and Partners for Tier-1 Companies
Executive Summary—Big Data Application Areas and Partners for Telematics Providers
Key Conclusions and Future Outlook
Research Scope
Research Aim and Objectives
Key Questions this Study Will Answer
Research Methodology
Total Cost Of Ownership
TCO Restructuring through Big Data and Analytics 2014–2022
Predictive Analytics Service Offerings and Average Potential Savings for Fleets
Application of Big Data in Fuel Cost Optimization
Application of Big Data in Cost Optimization for Driver Wage Benefits and Safety
Application of Big Data in Maintenance Cost Optimization
Application of Big Data in Insurance Cost Optimization
Case Study—Big Data for Fleets: Maines Paper and Food Services
Case Study—Big Data Analytics for Connecting Shippers to Carriers Using Mobile Platform
Summary—Impact on Fleet Operations
Big Data Opportunities for OEMs
Leveraging Big Data in OEM Research and Product Development
Leveraging Big Data in OEM Manufacturing Processes
Leveraging Big Data in OEM Marketing
Leveraging Big Data in OEM Warranty and Aftersales
Summary—Implications of Big Data for Commercial Vehicle OEMs
Big Data Service Revenue 2014–2022
Revenue Distribution by Stakeholders
Key Conclusions and Future Outlook
Legal Disclaimer
Abbreviations and Acronyms Used
Market Engineering Methodology
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This study provides an executive analysis of Big Data in the North American and European trucking industries. Using both primary and secondary research data, analyses and discussions cover key trends, total cost of ownership, and market opportunities by value chain participant. Big Data service revenue forecasts are provided for the period 20142022. Key conclusions and a future outlook are also provided.
| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Sundar Shankarnarayanan |
| Industries | Automotive |
| WIP Number | NE67-01-00-00-00 |
| Is Prebook | No |
Executive Impact Analysis of Big Data in the Trucking Industry
Executive Impact Analysis of Big Data in the Trucking Industry
Rising Downtime Reduction and Empty Miles Concerns Expediting Big Data Adoption in the Trucking Industry
RELEASE DATE
06-Apr-2015
06-Apr-2015
REGION
North America
North America
Deliverable Type
Market Research
Market Research
Research Code: NE67-01-00-00-00
SKU: AU00086-NA-MR_08640
$3,950.00
In stock
SKU
AU00086-NA-MR_08640