Data Lakes market growing at a CAGR of 19.52% during the review period of 2020 to 2030
A data lake is a repository of data in its natural format and includes
structured, semi-structured, unstructured and binary data facilitating
collocation of data from a centralized data store. The global data lakes
market is projected to reach USD 21.82 Billion, growing at a
CAGR of 19.52% during the review
period of 2020 to 2030.
The employment of cloud-based technologies in several sectors is estimated
to open up the prospects for the contenders in the global data lakes market.
The popularity of marketing data lakes is estimated to further the development
of the data lakes market share.
It is estimated that worldwide digital healthcare data alone has reached a
quantum figure of 500 petabytes in 2012 and which is projected to reach 25,000
petabytes by 2020. The other drivers for the explosive growth of data are the
necessity of backup owing to Government regulation to store and maintain a
timeline business data, growing volume of larger file types such as media
files, developing social networking and media websites, internet connectivity,
bandwidth, and others.
The development of high volume storage technology such as Blu-ray disk with
improved network connectivity features is driving down the cost of big data
lakes storage. Solid state drives provide better performance, higher
readability, robustness, high data speed, stability and reliability, and
resiliency, is a further market attraction.
Dominant Players
Some of the leading players in the global data lakes market are Microsoft
Corporation (U.S.), Informatica (U.S.), Teradata Corporation (U.S.), Capgemini
(France), EMC Corporation (U.S.), Oracle Corporation (U.S.), Zaloni (U.S.),
Cloudera Inc. (U.S.), SAS institute (U.S.), SAP SE (Germany), Hitachi (Japan),
ATOS SE (France) and others. Azure data lake analytics and Hadoop data lake
analytics are the leading data lake architectures in use in the current market.
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Segmentation:
The segmental investigation of the data lakes market is conducted based on
business function, component, organization size, vertical and deployment. The
vertical based segmentation of the data lakes market is segmented into
healthcare, manufacturing, BFSI, media & entertainment, energy &
utilities, IT & telecommunication, and others. The component basis of
segmenting the data lakes market is divided between software and service. The
software sub-segment is additionally segmented into data integration and management,
data discovery, data lakes analytics and data visualization. The service
sub-segment is further segmented into professional services and managed
services. On the basis of the business function, the data lakes market is
segmented into operations, sales, marketing, finance and human resources. On
the basis of organization sizes, the data lakes market is bifurcated into large
enterprises and SMEs. On the basis of deployment, the data lakes market is
divided into cloud and on-premise. Based
on the regions, the data lakes market is segmented into North America, APAC,
Europe and other significant markets.
Regional Analysis:
North America region led by the U.S. accounts for the most significant
market share owing to the faster adoption of latest technology, the presence of
substantial players and others. Europe is led by Germany, France, and the U.K.
The adoption of Internet of things, increase in adoption of cloud-based
technologies and rise in demand for business agility are other factors driving
the market of the developed regions. However, the market is expected to favor
the Asia Pacific regions led by India and China shortly.
The Middle East and Africa market is anticipated to be dominated by Gulf
economies of Saudi Arabia, UAE, Kuwait, and Qatar.
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