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.
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Acknowledgments
This research was partially supported by the EU’s Horizon Digital, Industry, and Space program under grant agreement ID 101092989-DATAMITE. Also, we thanks to Science Foundation Ireland Grant No. 12/RC/2289 for funding the Insight Centre of Data Analytics.
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Castane, G.G., Martinez, A., Ramadan, Q., Gkika, Z., Panagiotis, M., Vyhmeister, E. (2024). Market Analysis of a Data Platform in the European Data Ecosystem. In: Maglogiannis, I., Iliadis, L., Karydis, I., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops. AIAI 2024. IFIP Advances in Information and Communication Technology, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-031-63227-3_7
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DOI: https://doi.org/10.1007/978-3-031-63227-3_7
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