Market analysis of a data platform in the European data ecosystem

Castane, Gabriel G.; Martinez, Alejandro; Ramadan, Qusai; Gkika, Zaneta; Panagiotis, Mpempis; Vyhmeister, Eduardo

Market analysis of a data platform in the European data ecosystem

Files

market-analysis-final-version.pdf(20.22 MB)

Date

2024-06-23

Authors

Castane, Gabriel G.

Martinez, Alejandro

Ramadan, Qusai

Gkika, Zaneta

Panagiotis, Mpempis

Vyhmeister, Eduardo

Publisher

Springer

Published Version

https://doi.org/10.1007/978-3-031-63227-3_7

Abstract

In the era of data analytics, industries can use data to enhance market analyses and seek better opportunities for current, or new, business opportunities. Furthermore, companies can consider their data as an intangible asset, allowing expansion, by a proper market analysis, and economic opportunities through data monetization. These strategies define the use of data for indirect and direct purposes. Despite the idea of adopting data monetization practices, a considerable gap exists between expectations and reality. For example, the definition of strategies, methods, and analyses to perform data valuation. This gap necessitates a comprehensive exploration considering the different nuisances of data monetization. To achieve a broader understanding of the data monetization landscape, a market evaluation, through an exploration of the market environment and the stakeholders involved, is necessary. The present work contributes to this understanding by facilitating a market analysis for data valuation within the European community. This analysis aims to shed light on critical aspects influencing the valuation of data in the European context, offering insights into the market dynamics, emerging trends, and the evolving landscape of data monetization strategies within this region.

Keywords

Market analysis , Data monetization , Data market

Citation

Castane, G.G., Martinez, A., Ramadan, Q., Gkika, Z., Panagiotis, M. and Vyhmeister, E. (2024) ‘Market analysis of a data platform in the european data ecosystem’, in I. Maglogiannis, L. Iliadis, I. Karydis, A. Papaleonidas, and I. Chochliouros (eds) Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops. Cham: Springer Nature Switzerland, pp. 94–108. Available at: https://doi.org/10.1007/978-3-031-63227-3_7