EU Data Landscape (beta) released for public comments - help us improve it!
IDC together with Open Evidence is pleased announced the release of the beta version of EU Data Landscape map for public consultation. The EU Data Landscape aims to provide a summary representation of the main players in the EU data market, while at the same time defining better what is the EU data market, where are its boundaries and what services does it provide.
Help us create the best picture of European Data Market by adding your comments directly on the map!
Are all the key players represented? Are they placed in the right segment?
EU Data Landscape Map
Based on your feedback, the final EU Data Landscape will be produced in April 2016.
How the companies were selected:
A long list of ‘big data” companies in Europe has been gathered in the first year of the project, and currently appears on the map in the homepage. These are “big data focussed” companies, so general IT providers are not included. About 250 entities have been gathered through:
- Review of the existing companies list on the web, such as https://datafloq.com/ , http://www.bigdatalandscape.com/bigdata100 and crunchbase.com
- Open crowdsourcing through the website, where anyone can add companies.
This long list of companies was then filtered through 2 criteria:
- Size, to include only companies that received at least 1M EUR in risk funding, as included in authoritative database such as Crunchbase.com and Angel List, or public companies.
- Importance, by including all companies that were listed in the global “data landscape” maps.
The concept behind it:
The EU data market can be divided in 5 main subdomains.
The three central components are:
- The data marketplaces, where data are stored, curated and exchanged. It includes marketplaces such as Datamarket.com and repositories such as Knoema.
- The analytics sector, which represents arguably the core sector of big data. It includes a wide variety of products such as Analytics platforms; Social analytics; BI; AI; Statistical computing; Machine learning; Visualisation; Unstructured data
- The vertical app sector, which includes analytical tools devoted to specific verticals such as marketing, legal, government, science, health, finance.
These components are supported by cross-infrastructures, often provided by large vendors, that cover most of the functionalities above; and by “ICT enablers” that represent all the support tools and technologies, commercial and open source, that act on a more infrastructural level (e.g. Hadoop on premises, cluster service etc.).