Automotive Data Monetisation Pricing and Business Models

By 2025, Data Monetisation is Expected to Unravel ~$33 Billion in Opportunity for OEMs, with the Potential to Monetise $100 per Car Across 140 Unique Use Cases

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This study analyses the strategies, growth analysis, competitive landscape, business models, and future focus areas of OEMs, data aggregators, usage-based insurance (UBI) companies, and tier 1 suppliers. OEMs, tier 1s, insurance companies, and data aggregators must focus on data services around smart mobility, connected cars, and autonomous vehicles (AVs) and must introduce new business models between 2022 and 2030. UBI companies, data aggregators, and aftermarket OBD II companies and the rise of Uber, Apple, and Google in the automotive market are pushing OEMs to finally realise the true potential of harnessing data and turning the same into successful business models.OEMs and tier 1 suppliers have realised th

Table of Contents

Executive Summary Executive Summary—Key FindingsEvolving Data Monetisation Business Models in the Auto IndustryAutomotive Data-as-a-Service TypesKey Consumers of Vehicle DataAutomotive Data Monetisation Market—Data Types and DefinitionsTotal Addressable Market in 2017Key Elements of a Data Monetisation Business ModelAutomotive Data Monetisation—Use Case GroupingUse Case Grouping Snapshot—UBI Focus on a Data-driven FutureUse Case Grouping Snapshot—Crash Reconstruction Role in AVsBMW CarData Platform Case StudyOtonomo’s Data Exchange PlatformCommercial Data Types Tracked by OtonomoAutomotive Data Monetisation—Pricing VariablesResearch Scope, Objectives, Methodology, and BackgroundResearch ScopeResearch Aims and ObjectivesKey Questions this Study will AnswerResearch BackgroundRelated Frost & Sullivan Video Content Available for SupportResearch MethodologySnapshot of Frequently Used Input Streams for Data CaptureBest Practice Assessment from the Non-automotive IndustryData Monetisation Use Cases across IndustriesData Format and IoT Data TypesData Monetisation Business Models—Non-automotiveData Monetisation—Non-automotive Industry HighlightsData Monetisation—Non-automotive Industry ExamplesCase Study—Barclays Market and Customer Insight Service Offering Key Challenges, Regulations, and Revenue OpportunitiesAutomotive Data Monetisation—Key ChallengesEU General Data Protection Regulation (GDPR)—Key PrinciplesGDPR Principles and CompliancesGDPR Principles and Compliances (continued)Data Monetisation—Direct and Indirect Revenue OpportunitiesSnapshot of Direct Revenue OpportunitiesSnapshot of Indirect Revenue OpportunitiesHighlights/Examples Based On Use Case Grouping and Ecosystem PartnersAutomotive Data Monetisation—Use Case GroupingUse Case 1—UBI and Contextual Behaviour IntelligenceUse Case 1—Contextual Driver Behaviour ScoreUse Case 1—Contextual Driver BehaviourUse Case 2—Crash Reconstruction in a Virtual Driving EnvironmentUse Case 2—Proactive FNOLUse Case 2—TSPs’ Crash Reconstruction SolutionsUse Case 3—Location and Mapping ServicesUse Case 3—Harnessing Location DataUse Case 3—HAD Maps for Autonomous CarsUse Case 3—HERE’s Real-time Traffic ServiceUse Case 4—Dealerships and Ecosystem Datasets and InitiativesUse Case 4—Dealership Data MonetisationUse Case 4—Vauxhall OnStar PortalUse Case 4—Auction CompaniesUse Case 5—Autonomous VehiclesUse Case 5—Insurance Opportunity in AVsKey OEM/Tier 1 InitiativesCar Connectivity Consortium (CCC)—Car Data Solution ArchitectureIBM Connected SolutionsGM Partnership with IBM Watson to Handle Data-Business In-houseMercedes Benz—Leveraging OBD to Connect Legacy VehiclesFord Invests in AI and ML CompaniesFord Partnership with PivotalVolkswagen Data Lab CompetenciesVolkswagen Digital Lab and Enhanced Digital PlatformBosch Investments in iguazio, a Data-driven Innovative CompanyBosch and Tom Tom—Radar Road SignatureDelphi Automotive Software SuiteDelphi Offers a Holistic Connected Vehicle PlatformData Aggregators and UBI Company ProfilesDash Labs’ Business ModelOcto Telematics’ Business ModelNexar’s Vision-based Driver ScoringLexisNexis UBI CapabilityThe Floow—Helping OEMs Monetise DataGrowth Opportunity AnalysisAutomotive Data Monetisation CompaniesGrowth Opportunity—Partnerships and Business ModelsKey Conclusions and Future OutlookNew Business Models in Mobility will be Data-drivenAutomotive Data Monetisation RecommendationsThe Last Word—3 Big PredictionsLegal DisclaimerAppendixTable of Acronyms UsedMarket Engineering Methodology


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