Data holders: These include holders of different
type of data, from Public Sector Information (Government data) to scientific,
business and sensor-provided data. In some cases these are owned by specific
bodies, such as government or research organisations.
Support Tools & Technologies: They cover all the
support tools, tecnologies and infrastructures, commercial and open source,
that act on a more infrastructural level (e.g. Hadoop on premises, cluster
service etc.). The infrastructures are often provided by large vendors, they
cover many of the specific functionalities.
Marketplaces: Services where data are stored, curated
and exchanged, it includes marketplaces.
Analytics: 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.
Vertical apps: It includes analytical tools devoted to
specific verticals such as marketing, legal , government, science, health,
finance.
Data Users: The final users of the data, once they have
been elaborated by "data market" players. Any sector of the economy
can benefit from "data based innovation" to derive economic and
social benefits. For instance, the retail industry can better manage its
logistics and thereby increase efficiency by analysing purchasing habits. It is
well known that high-quality clients are a necessary factor for innovation to
occur, and it is no different in the data economy.
Enabling players: They include Venture Capitalists that
provide risk funding to data start-ups; incubators that support their growth;
research institutes that enable innovation; training organizations that provide
the right skills; and public regulators such as the European Commission that
can have a big influence on the development of the sector through for instance
its data protection directives.