The new European Data Market study aims to continue to offer a meaningful and comprehensive understanding of the main characteristics of the EU data economy. In addition, activities will be dedicated to providing reports about various aspects of the European data economy including quantitative facts and figures not yet covered by the indicators themselves. Finally, activities on the development of the community of data-related stakeholders across Europe will be further supported with regular updates on the EU data landscape.
First Report on Facts & Figures
This report presents the results obtained through the first round of measurements of the European Data Market Monitoring Tool. When presenting the forecasts of the indicators measured in this report, under three distinct scenarios, this document includes the results for 2025 and 2020.
It focuses on a number of indicators, such as the incidence of the data economy on GDP or the data professionals skills gap. Each indicator has been measured for the total EU27 and for all the EU27 Member States when available and applicable; industry-specific and company-size views are also offered, with indicators provided by industry sector and company size band, when possible. The UK and Switzerland were measured separately, as was the EEA (Norway, Iceland, and Lichtenstein), in an aggregated way. Moreover, a select number of indicators has been developed and updated for four non-European countries — namely, Brazil, Japan, the United States and China.
Data sharing in construction
This deliverable of the study develops an in-depth understanding of data sharing practices in the construction sector and the challenges ahead in the form of a quantitative story.
The main goal of the story is to produce a descriptive analysis the main critical issues of the development of the EU data economy and society in the construction sector, complementing the European Data Market statistical indicators with qualitative and quantitative evidence based on a case study and expert analysis.
More specifically, the report provides information on:
- what data is produced and can be potentially be reused
- how to support and increase the development of standards
- data certification by third parties to avoid fake data
- how to share data with the client and the authorities
- how to share data in new business models
- how to share data in user communities/cloud platforms: advantages, challenges and dangers
- how to upscale micro SMEs that constitute an important part of the construction sector.
- policy recommendations.
This deliverable shows that data analytics is present across all the priority areas of the European Green Deal with a wide range of impacts. It can help with mitigation, for instance by reducing carbon emissions through precision agriculture. And it can help with adaptation, for instance by better predicting floods.
This data story consists of three main parts:
- The opportunities of Data4Green with an overview of the relevant European policy context, an explanation of the green data value cycle, a taxonomy of data-driven applications for the green transition, a reflection on the expected impact of such applications and a look at several startups that are active in the described domains.
- Specific cases on the ground to provide a more profound insight into the mechanisms through which data can impact the green transition.
- Policy implications deriving from the analysis of the opportunities and challenges in the preceding sections.
Skills for Data: How to Overcome Skills Gaps and Develop Competent Data Professionals
- This Story is the result of the research done on the great divide between the digital skills and the data workforce in the EU.
- It demonstrates through five case studies, each of which offers a unique and cross-sectoral perspective from the private sector, examples on how to develop data-driven professionals and thus enable European business success.
EU Data Landscape
- The report aims to capture the European data phenomenon and, at the same time, to provide insights on how stakeholders in the data economy develop year by year.
- The Data Landscape provides a solid mapping of the main key players in the data economy. It uses objective and well-defined criteria to select the most promising big data companies in Europe with a special focus on the 'key data companies' category.
- The mapping exercise is a dynamic process that closely follows the trends in the data economy (fintech, internet of things, artificial intelligence, secondary use of data, etc.) and aims to align with the trends and research results.
Inception report: it specifies the taxonomy and the methodology to be used during the lifetime of the study contract, as well as detailed information on the resources and objectives in accordance with the indications provided by the European Commission.