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

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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.

Table of Contents

Executive SummaryKey FindingsExecutive Summary—OEMs Leveraging Telematics DataExecutive Summary—Tier-1 Suppliers Foray into TelematicsExecutive Summary—Evolving Partnership ModelsExecutive Summary—OEM/Tier-1 Analytics Application by FunctionExecutive Summary—Possible Average Annual Savings for OEMs and FleetsExecutive Summary—Case Study of UPSExecutive Summary—Big Data Application Areas and Partners for OEMsExecutive Summary—Big Data Application Areas and Partners for Tier-1 CompaniesExecutive Summary—Big Data Application Areas and Partners for Telematics ProvidersKey Conclusions and Future OutlookResearch Scope, Objectives, Background, and MethodologyResearch ScopeResearch Aim and ObjectivesKey Questions this Study Will AnswerResearch Methodology Impact of Big Data on Fleet Operations (TCO)Total Cost Of OwnershipTCO Restructuring through Big Data and Analytics 2014–2022Predictive Analytics Service Offerings and Average Potential Savings for FleetsApplication of Big Data in Fuel Cost OptimizationApplication of Big Data in Cost Optimization for Driver Wage Benefits and SafetyApplication of Big Data in Maintenance Cost OptimizationApplication of Big Data in Insurance Cost OptimizationCase Study—Big Data for Fleets: Maines Paper and Food Services Case Study—Big Data Analytics for Connecting Shippers to Carriers Using Mobile PlatformSummary—Impact on Fleet OperationsImplications of Big Data for Commercial Vehicle OEMsBig Data Opportunities for OEMsLeveraging Big Data in OEM Research and Product DevelopmentLeveraging Big Data in OEM Manufacturing ProcessesLeveraging Big Data in OEM MarketingLeveraging Big Data in OEM Warranty and AftersalesSummary—Implications of Big Data for Commercial Vehicle OEMs Big Data and Analytics Revenue and OpportunitiesBig Data Service Revenue 2014–2022Revenue Distribution by StakeholdersConclusionsKey Conclusions and Future OutlookLegal DisclaimerAppendixAbbreviations and Acronyms UsedMarket Engineering Methodology




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Release Date : 24-Sep-2015

Region : North America

Release Date : 13-Feb-2013

Region : North America

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