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

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 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.

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
  • Ford
  • GM
  • HERE
  • IBM Watson
  • Iguazio
  • KAR
  • LexisNexis
  • Manheim
  • Mercedes Benz
  • Nexar
  • Octo Telematics
  • Otonomo
  • Pivotal
  • Tesla
  • The Floow
  • Tom Tom
  • Toyota
  • TSPs
  • Vauxhall
  • Volkswagen

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