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

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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 that digitisation along with IoT, technology partnerships, software capabilities, and customised solutions will be the way forward for the global automotive industry. The growing number of digitalisation initiatives and pilot projects with a software-centric focus by automotive OEMs and tier 1s will increase automotive IT spending from $37.9 billion in 2015 to $168.8 billion in 2025 (CAGR of 16.1%). Connected cars, AVs, and ride sharing provides more use cases for data monetisation.

Over the next decade, OEMs, data consumers, and ecosystem participants must focus on business models around location data, driving behaviour, HD mapping, vehicle usage, and environmental data types. In addition to OEM, tier 1 supplier, and technology company initiatives, this study covers a detailed list of start-ups and technology companies focusing on analytics and data aggregation. The total number of connected vehicles, activation rate, and consent rate are some of the key factors that help determine the automotive data monetisation market across various data types. Frost & Sullivan expects UBI to be the most mature use case that brings in more value from a car/year for OEMs (ever since it transitioned from an aftermarket to an OEM data-enabled service).

In addition, this study analyses and answers the following key questions:
• What are the different data monetisation business models being discussed in the automotive industry and which ones will garner more value in
the current and future ecosystem?
• What are the various use cases and data types expected to create value in the automotive industry?
• What are the different pricing models being evaluated? What is the expected price per use case?
• What is the addressable opportunity from data monetisation in 2017 and in 2025?
• Who are the key stakeholders involved? What are the key partnerships that need to be built to be successful?

Table of Contents

1. Executive Summary
Key Findings
Evolving Data Monetisation Business Models in the Auto Industry
Automotive Data-as-a-Service Types
Key Consumers of Vehicle Data
Automotive Data Monetisation Market—Data Types and Definitions
Total Addressable Market in 2017
Key Elements of a Data Monetisation Business Model
Automotive Data Monetisation—Use Case Grouping
Use Case Grouping Snapshot—UBI Focus on a Data-driven Future
Use Case Grouping Snapshot—Crash Reconstruction Role in AVs
BMW CarData Platform Case Study
Otonomo’s Data Exchange Platform
Commercial Data Types Tracked by Otonomo
Automotive Data Monetisation—Pricing Variables
2. Research Scope, Objectives, Methodology, and Background
Research Scope
Research Aims and Objectives
Research Background
Related Frost & Sullivan Video Content Available for Support
Research Methodology
Snapshot of Frequently Used Input Streams for Data Capture
3. Best Practice Assessment from the Non-automotive Industry
Data Monetisation Use Cases across Industries
Data Format and IoT Data Types
Data Monetisation Business Models—Non-automotive
Data Monetisation—Non-automotive Industry Highlights
Data Monetisation—Non-automotive Industry Examples
Case Study—Barclays Market and Customer Insight Service Offering
4. Key Challenges, Regulations, and Revenue Opportunities
Automotive Data Monetisation—Key Challenges
EU General Data Protection Regulation (GDPR)—Key Principles
GDPR Principles and Compliances
Data Monetisation—Direct and Indirect Revenue Opportunities
Snapshot of Direct Revenue Opportunities
Snapshot of Indirect Revenue Opportunities
5. Highlights/Examples Based On Use Case Grouping and Ecosystem Partners
Automotive Data Monetisation—Use Case Grouping
Use Case 1—UBI and Contextual Behaviour Intelligence
Use Case 1—Contextual Driver Behaviour Score
Use Case 1—Contextual Driver Behaviour
Use Case 2—Crash Reconstruction in a Virtual Driving Environment
Use Case 2—Proactive FNOL
Use Case 2—TSPs’ Crash Reconstruction Solutions
Use Case 3—Location and Mapping Services
Use Case 3—Harnessing Location Data
Use Case 3—HAD Maps for Autonomous Cars
Use Case 3—HERE’s Real-time Traffic Service
Use Case 4—Dealerships and Ecosystem Datasets and Initiatives
Use Case 4—Dealership Data Monetisation
Use Case 4—Vauxhall OnStar Portal
Use Case 4—Auction Companies
Use Case 5—Autonomous Vehicles
Use Case 5—Insurance Opportunity in AVs
6. Key OEM/Tier 1 Initiatives
Car Connectivity Consortium (CCC)—Car Data Solution Architecture
IBM Connected Solutions
GM Partnership with IBM Watson to Handle Data-Business In-house
Mercedes Benz—Leveraging OBD to Connect Legacy Vehicles
Ford Invests in AI and ML Companies
Ford Partnership with Pivotal
Volkswagen Data Lab Competencies
Volkswagen Digital Lab and Enhanced Digital Platform
Bosch Investments in iguazio, a Data-driven Innovative Company
Bosch and Tom Tom—Radar Road Signature
Delphi Automotive Software Suite
Delphi Offers a Holistic Connected Vehicle Platform
7. Data Aggregators and UBI Company Profiles
Dash Labs’ Business Model
Octo Telematics’ Business Model
Nexar’s Vision-based Driver Scoring
LexisNexis UBI Capability
The Floow—Helping OEMs Monetise Data
8. Growth Opportunity Analysis
Automotive Data Monetisation Companies
Growth Opportunity—Partnerships and Business Models
9. Key Conclusions and Future Outlook
New Business Models in Mobility will be Data-driven
Automotive Data Monetisation Recommendations
The Last Word—3 Big Predictions
Legal Disclaimer
10. Appendix
Table of Acronyms Used
Market Engineering Methodology

Infographic



List of Figures & Charts

1. Automotive Data Monetisation Market: Data Types and Definitions, Global, 2017
2. Automotive Data Monetisation Market: Key Participants, Global, 2017
3. Automotive Data Monetisation Market: Non-automotive Industry Highlights, Global, 2017
4. Automotive Data Monetisation Market: OEM Challenges, Global, 2017
5. Automotive Data Monetisation Market: GDPR Principles and Compliances, Global, 2017
6. Automotive Data Monetisation Market: GDPR Principles and Compliances, Global, 2017
7. Automotive Data Monetisation Market: Direct Revenue Opportunities, Global, 2017
8. Automotive Data Monetisation Market: Auction Companies, Global, 2017
9. Automotive Data Monetisation Market: Ford Investments, Global, 2017


1. Automotive Data Monetisation Market: Data-as-a-Service, Global, 2017
2. Automotive Data Monetisation Market: Key Consumers, Global, 2017
3. Automotive Data Monetisation Market: Available Opportunity Based on Data Type, Global, 2017 and 2025
4. Automotive Data Monetisation Market: Key Elements of a Business Model, Global, 2017
5. Automotive Data Monetisation Market: Use Case Grouping, Global, 2017
6. Automotive Data Monetisation Market: BMW CarData Platform, Global, 2017
7. Automotive Data Monetisation Market: Otonomo’s Data Exchange Platform, Global, 2017
8. Automotive Data Monetisation Market: Pricing Models, Global, 2017
9. Automotive Data Monetisation Market: Research Background, Global, 2017
10. Automotive Data Monetisation Market: Use Cases across Industries, Global, 2017
11. Automotive Data Monetisation Market: Data Monetisation Models, Global, 2017
12. Automotive Data Monetisation Market: GDPR Principles, EU, 2017
13. Automotive Data Monetisation Market: Revenue Opportunities, Global, 2017
14. Automotive Data Monetisation Market: Use Case Grouping, Global, 2017
15. Automotive Data Monetisation Market: Use Case 1, Global, 2017
16. Automotive Data Monetisation Market: Contextual Driver Behaviour Score, Global, 2017
17. Automotive Data Monetisation Market: Contextual Driver Behaviour, Global, 2017
18. Automotive Data Monetisation Market: Use Case 2, Global, 2017
19. Automotive Data Monetisation Market: Use Case 3, Global, 2017
20. Automotive Data Monetisation Market: Use Case 4, Global, 2017
21. Automotive Data Monetisation Market: Dealership Data Monetisation, Global, 2017
22. Automotive Data Monetisation Market: Data Sharing in Fleets and Leasing, Global, 2017
23. Automotive Data Monetisation Market: Use Case 5, Global, 2017
24. Automotive Data Monetisation Market: Car Data Solution Architecture, Global, 2017
25. Automotive Data Monetisation Market: Volkswagen Data Lab Competencies, Global, 2017
26. Automotive Data Monetisation Market: Radar Road Signature, Global, 2017
27. Automotive Data Monetisation Market: Delphi Automotive Software Suite, Global, 2017
28. Automotive Data Monetisation Market: Delphi Connected Vehicle Platform, Global, 2017
29. Automotive Data Monetisation Market: Dash Labs’ Business Model, Global, 2017
30. Automotive Data Monetisation Market: Octo Telematics’ Business Model, Global, 2017
31. Automotive Data Monetisation Market: Nexar Vision-based Driver Scoring, Global, 2017
32. Automotive Data Monetisation Market: Data-driven Mobility Business Models, Global, 2015–2025
33. Automotive Data Monetisation Market: Recommendations, Global, 2017



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Release Date : 13-Nov-17

Region : North America

Release Date : 09-Nov-17

Region : North America

Release Date : 09-Nov-17

Region : North America

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