Strategic Analysis of Big Data in Rapid Transit

Strategies to Achieve Predictive Analytics Biggest Driver for Big Data Implementation in Rail

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The strategic insight provides an outlook of growth opportunities in the Global rail market for Big Data. Secondary and primary research was conducted, including interviews with suppliers, regulation authorities, and distributors. The study discusses key trends, market drivers, opportunities, market size, and forecast of rolling stock deliveries for the rail industry It also highlights competitive factors, competitor market shares, product portfolio, and capabilities for this region. Key conclusions and a future outlook of the market have been provided. The base year is 2014; the forecast period is through 2021.

Table of Contents

Executive SummaryExecutive Summary—Key FindingsImplications of Big DataNorth America and Europe are the Largest Markets for Big DataKey Findings and Future OutlookResearch Scope, Objectives, Background, and MethodologyResearch ScopeResearch Aims and ObjectivesKey Questions This Study Will AnswerResearch BackgroundResearch MethodologyDefinitions and SegmentationBig Data Market—SegmentationIntroduction to Big DataIntroduction to Big DataScale of Big Data is in PetabytesPredictive Analysis is the Future iteration of Business IntelligenceMigration Strategy Towards Big DataIncremental Big Data Implementation has Least Risk to ObsolescenceHadoop is Quickly Becoming the Standard Core of Big DataNoSQL is Key to Handling and Managing Social and Media ContentMedia Analytics Open New Pathways to Predictive AnalyticsPredictive Analytics is the Most important Implication of Big DataPredictive Analytics from Big Data Requires Dedicated new Job RolesPerformance Improvement Possibilities with Predictive AnalyticsImplications of Big Data on RailExamples of Big Data Applications in the Rail EnvironmentBig Data Application—Demand Modeling and Ridership ForecastingBig Data Application —Automated Train OperationBig Data Application—Route Planning and SchedulingBig Data Application—Automatic Vehicle Location Big Data Application—Automated Fare Collection and E-TicketingBig Data Application—Advanced Lead Ranking and ConversionMega Trends and Industry Convergence ImplicationsImpact of Top 4 Mega Trends on the Turkish Rail Market Impact of Top 4 Mega Trends on the Rail Big Data Market Impact of Top 4 Mega Trends on the Turkish Rail Market (continued)Drivers and Restraints—Total MarketMarket DriversDrivers ExplainedMarket RestraintsRestraints ExplainedForecast and Trends—Big Data in RailRevenue Forecast Scenario AnalysisRail Big Data Market F&S By ComponentBig Data Revenue By SourceMarket Share and Competitive Analysis—Rail Big Data MarketIBM, HP and Dell worlds leading suppliers of Big Data SolutionsTop 20 Big Data Suppliers—Estimated Revenue from Big DataPure Big Data Technology Suppliers—Estimated Annual RevenueCase StudiesUnion Pacific Big Data Case StudyPortland TriMet Pioneer In Embracing Data VisualizationConclusionsThe Last Word—Three Big PredictionsKey Conclusions and Future Outlook AppendixLegal DisclaimerTotal Big Data Market By Component 2014–2021Market Engineering Methodology

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