The Models Of The Automotive Industry Video
The future of the automotive industry The Models Of The Automotive IndustrySee how customers succeed with SAP
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, Auutomotive cars, and autonomous vehicles AVs and must introduce new business models between and 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. Connected cars, AVs, and ride sharing provides more use cases for data monetisation.
Create opportunity with new business models built on innovative technology
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. What is the expected price per use case?
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