  Even though connectivity services have been introduced in many of the most
recent car models, access to vehicle data is currently limited due to its
proprietary nature. The European project AutoMat has therefore developed an
open Marketplace providing a single point of access for brand-independent
vehicle data. Thereby, vehicle sensor data can be leveraged for the design and
implementation of entirely new services even beyond trafficrelated applications
(such as hyper-local traffic forecasts). This paper presents the architecture
for a Vehicle Big Data Marketplace as enabler of cross-sectorial and innovative
vehicle data services. Therefore, the novel Common Vehicle Information Model
(CVIM) is defined as an open and harmonized data model, allowing the
aggregation of brand-independent and generic data sets. Within this work the
realization of a prototype CVIM and Marketplace implementation is presented.
The two use-cases of local weather prediction and road quality measurements are
introduced to show the applicability of the AutoMat concept and prototype to
non-automotive application
