Executive Impact Analysis of Big Data in the Trucking Industry

Automotive 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

INDUSTRY
Automotive

RELEASE DATE
06-Apr-2015
REGION
North America
DELIVERABLE TYPE
Market Research

RESEARCH CODE
NE67-01-00-00-00
SKU
AU00086-NA-MR_08640
Yes
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Executive Impact Analysis of Big Data in the Trucking Industry
Published on: 06-Apr-2015 | SKU: AU00086-NA-MR_08640

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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 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.
More Information
Deliverable Type Market Research
No Index No
Podcast No
Author Sundar Shankarnarayanan
Industries Automotive
WIP Number NE67-01-00-00-00
Is Prebook No