How to Monetize Vehicle Data Thanks to In-car Technologies
Create a data monetization strategy that understands your consumers’ needs, runs smoothly, and will open new revenue streams for your company
A software-defined vehicle does not work in a vacuum. It operates at the intersection of different technologies, entities, and diverse needs. The parties to the issue are not just the driver and the OEM, but also the Internet provider, the software company or the developer of the road infrastructure, and even the lawmaker. If we want to create an effective and market-responsive monetization strategy and thus generate new revenue streams for the company, we need to be mindful of that.
That is why in our paper, we do not focus solely on the technology that is in charge of retrieving data from the car. We also write about the type of services that are the most popular among modern drivers, show practical use cases, and highlight the mega-trends shaping the automotive industry.
And most importantly – we avoid the programming jargon because it is useful in the programming stage, not when establishing a dialogue between the parties involved in the monetization process.
This practical whitepaper gives you a crucial insight and indispensable knowledge about data monetization and helps you develop a market proof strategy for your automotive brand
What will you learn from the document?
To understand eight technologies necessary to retrieve data from a vehicle.
To get a broad perspective on the automotive monetization business, emerging possibilities, and trends.
To unlock 28 new revenue streams based on market use cases and technical possibilities of a software-defined vehicle.
Technical aspects and crucial checkpoints to bear in mind if you want to monetize vehicle data.
To understand the consumer’s fears and learn how to counteract them thanks to well-thought-out services.
The categories of data collected in the vehicle and the needs of third parties involved in the process.
Download the ebook and get crucial insights
Meet the authors
Adam Kozłowski
Head of Automotive R&D at Grape Up
Adam Kozłowski is a Solution Architect and Head of Automotive R&D at Grape Up. He had worked as a C/C++ and JavaScript Developer before he started his journey to the Cloud and Machine Learning world. Adam is an active advocate of Kubernetes and open-source cloud-native solutions. He is a huge fan of RnD initiatives, rapid prototyping, MLOps, and building great software products enhanced by ML algorithms. Throughout his career, Adam has been working with established enterprises like Rijkswaterstaat, Porsche, and Allstate to build their mission-critical systems. Currently responsible for consulting automotive projects, specializing in Cloud and MLOps solutions for the automotive industry.
Marcin Wiśniewski
Head of Business Development at Grape Up
Marcin Wiśniewski works at Grape Up as a Head of Business Development. He collaborates closely with customers on identifying their needs and connecting them with experts helping in leveraging AI and cloud-native technologies to deliver software that ensures competitive advantage and business growth. He is an agile software development evangelist & a DevOps culture advocate.