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Global Automotive Data Monetisation Pricing and Business Models - Automotive IT Spending Increasing to $168.8 Billion in 2025 - Research and Markets
[December 07, 2017]

Global Automotive Data Monetisation Pricing and Business Models - Automotive IT Spending Increasing to $168.8 Billion in 2025 - Research and Markets


The "Automotive Data Monetisation Pricing and Business Models" report has been added to Research and Markets' offering.

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.

UBI companies, data aggregators, and aftermarket OBD II companies and the rise of Uber, Apple, and Google (News - Alert) 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 mnetisation.

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.


Key Topics Covered:

1. Executive Summary

2. Research Scope, Objectives, Methodology, and Background

3. Best Practice Assessment from the Non-automotive Industry

4. Key Challenges, Regulations, and Revenue Opportunities

5. Highlights/Examples Based On Use Case Grouping and Ecosystem Partners

6. Key OEM/Tier 1 Initiatives

7. Data Aggregators and UBI Company Profiles

8. Growth Opportunity Analysis

9. Key Conclusions and Future Outlook

Companies Mentioned

  • BMW
  • Bosch
  • Car Connectivity Consortium (CCC)
  • Copart Inc.
  • Dash Labs
  • Delphi (News - Alert)
  • Ford
  • GM
  • HERE
  • IBM Watson
  • Iguazio
  • KAR
  • LexisNexis (News - Alert)
  • Manheim
  • Mercedes Benz
  • Nexar
  • Octo Telematics
  • Otonomo
  • Pivotal
  • Tesla
  • The Floow
  • Tom Tom
  • Toyota
  • TSPs
  • Vauxhall
  • Volkswagen

For more information about this report visit https://www.researchandmarkets.com/research/fq2l8h/automotive_data


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