Dataset of German FinTech companies: A market overview
Description
This dataset comprises a hand collected market overview of the FinTech market in Germany as of December 2021. It includes various verified properties of 978 unique firms, which can be attributed to the financial technology sector and are operating in Germany. Each observation represents one company with 24 variables, including name, address, legal form, founders with corresponding LinkedIn accounts, register number or company-ID, attribution to FinTech segments and subsegments, bank cooperation, URL address, local court, former name, operating status. The dataset contains established companies as well as start-ups. Since the market in Germany and the nature of FinTech companies itself are dynamic as well as changing there is no complete overview of the market. Furthermore, the total number, the operating status as well as specific properties of FinTechs cannot be found in one accumulated data base. The dataset contains valuable information for researchers, practitioners as well as for supervising authorities. We provide the description of variables as well as a taxonomy for categorizing FinTechs. The nature of the dataset enables further cross-sectional and the possibility of longitudinal analyses of the complete market. The aim of the collection procedure was to find and identify all relevant FinTechs operating in Germany with a structured approach. Different databases and websites (see below) were used to obtain an overview of the market. The dataset was repeatedly updated and verified throughout the years within this process. An association to the segment of operations was conducted. Through structured Google searches the operating status was checked.
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Steps to reproduce
The data was hand-collected over the collection period from 2015 to December 2021 using specific and topic-related databases (Crunchbase, BvD Dafne, German Company Register, Trade Register Excerpts), FinTech and bank websites as well as with structural Google searches. The entries and properties, specifically the operating status, were checked in regular time-intervals throughout the collection process over the years.