As man moved out on the internet, so did the companies. One of the most successful business models in the digital era is the digital platform. A digital platform acts as an intermediary on multi-sided markets and enjoys, amongst others, lucrative network effects. One of the main factors behind the great success of digital platforms is the usage of big data combined with algorithms that are enhanced by machine learning. However, as big data is becoming more and more indispensable for any modern company, questions have been raised about whether digital platforms should be able to withhold the massive amount of big data exclusively, or whether they could be forced to share it. This paper investigates these questions through the lens of EU-competition law, especially under Article 102 TFEU and the doctrine of essential facilities. To address the problem of digital platforms and big data, the business models of digital platforms, the economic forces behind them, and their usage of data are assessed to conclude whether an intervention by the Union could be motivated. It is concluded that the markets where digital platforms act are prone to tip and that the characteristics of big data in combination with sophisticated algorithms create a positive feedback loop, creating barriers to entry. Thus, there are severe risks of external market failures, making an intervention feasible. The paper secondly assesses the essential facility doctrine and evaluates the four elements that needs to be fulfilled for big data to be covered by the doctrine. Even though the business model of digital platforms challenges the traditional instruments of EU-competition law, the author argues that three out of four elements of the essential facilities doctrine are fulfilled. However, as data to its character is non-rivalrous and non-exclusive the data held by the incumbent cannot be considered indispensable, making the essential facilities doctrine inapplicable. Finally, alternative instruments under EU-competition law are assessed to find a solution to the problems attributable to a refusal to supply big data. The paper concludes that there are no optimal solutions, but the best of the potential instruments is to find a new form of abuse under article 102 TFEU or to add a modified version of the essential facilities doctrine to the newly proposed legislation DMA.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-449180 |
| Date | January 2021 |
| Creators | Lindeberg, Adam |
| Publisher | Uppsala universitet, Juridiska institutionen |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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