Dataset

Technology adoption dashboard

Publishing date
31 October 2023
Dashboard

To download the underlying data from this dashboard and the explanatory methodological note, please click the download button on the top left of the screen. For any questions, please email [email protected]

As the use of technology becomes increasingly prevalent in EU economies, one question arises: Is the adoption of technology evenly distributed among EU member states, or are there some that are falling behind? 

This dashboard aims to address questions relating to various aspects of technology adoption in the EU member states by offering valuable insights into the adoption of four key digital technologies. The dashboard has five sections: the main page displays the foundations of technology adoption, while the remaining pages provide valuable statistics on adoption of artificial intelligence (AI), big data applications, cloud computing and implementation of robots 

The dashboard does not just provide the current state of technology adoption among EU member states; it also identifies the main barriers hindering further adoption. Moreover, the dashboard does not solely provide country level data, it also allows the user to focus in to sector-specific information. Using multiple filters, the users can easily customise the data and the underlying data is available for download. 

This dashboard enables the users to gain an understanding of the extent of technology adoption in Europe. The foundations page delves into the digital skills pool and sheds light on how the level of digital skills differs across socioeconomic groups. Moreover, it also provides information on the technological infrastructure such as high-speed internet, fiber and 5G. What purposes do AI technologies serve? Where does the bulk of big data originate? What are the main barriers hindering cloud computing? Which industries heavily rely on the implementation of robots? are other examples of the information offered by Bruegel's technology adoption dashboard.  

This dashboard is part of the Future of Work and Inclusive Growth in Europe project at Bruegel, which aims to develop multiple dashboards on labour market topics. It has been produced with the financial support of the Mastercard Center for Inclusive Growth.

About the authors

  • Giulia Gotti

    Giulia was a Research analyst at Bruegel until September 2024. She obtained a MSc in Policy Economics at the Erasmus University in Rotterdam and a BSc in Economics at the University of Bologna.

    Before joining Bruegel, Giulia did a traineeship at the European Central Bank in the Fiscal Policies division where she worked in the Debt Sustainability Analysis team. Prior to that, she pursued a Schuman traineeship at the European Parliament in the Economic Governance Unit in DG IPOL. 

    Giulia is an Italian native speaker. She is fluent in English and has a working knowledge of Spanish.

  • Duygu Güner

    Duygu joined Bruegel in June 2022 as part of the Future of Work and Inclusive Growth team.

    She is an applied economist, and her research mainly focuses on structural labour markets issues such as barriers to labour force participation, gender gaps, informality, skill shortages and unemployment.

    Before joining Bruegel, she has been actively involved in research for more than 10 years in a diverse setting. She participated in multiple projects for various institutions including JRC-Seville, the World Bank, the International Labour Organization, and the Ministry of Labour and Social Security of Turkey.

    She holds an MA in Economics and a BSc in Management Engineering from Istanbul Technical University (Turkey). Currently, she is finalising a PhD in Economics at KU Leuven.

  • Tom Schraepen

    Tom worked at Bruegel as a Future of Work and Inclusive Growth Consultant until May 2023. He obtained his BSc in Business Engineering and his MSc in Applied Economics from KU Leuven. He wrote his master’s thesis in the field of innovation economics.

    At Bruegel, he mainly works on the Future of Work and Inclusive Growth project. He researches the twin transition, the digital economy and labour market inequality. 

    Tom is a Belgian citizen. He is fluent in Dutch and English, and advanced in French.

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