global big data market size, share, development, growth and demand forecast to 2020
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GLOBAL INDUSTRY INSIGHT: Big Data Market Size, Share, Development, Growth and Demand Forecast
to 2020
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Global Big Data Market Size, Share, Development, Growth and
Demand Forecast to 2020
The global big data market is mainly driven, by increasing market of consumer, and machine data. The increasing
detail and volume of information captured by enterprises, the upsurge of multimedia, social media, and the
internet of things, is expected to fuel the growth of the big data market, in the near future. Some of the other
drivers fuelling the growth of the big data market, are new applications leveraging big data, and demand of unified
platforms.
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Big data usually includes large sets of data, with sizes (petabytes and exabytes) beyond the ability of commonly
used software tools to acquire, manage, and process data, within the lapsed time. Big data is the high-variety and
high-volume information assets that require inventive forms of information processing, for improved
understanding, and decision making. Big data is a developing term that defines a huge amount of structured,
unstructured and semi-structured data, having the potential for information mining. Though big data does not
refer to any explicit quantity, however the term is commonly used, when it comes to processing extensively large
quantities of data.
The global big data market can be segmented on the basis of types, services, and end users. On the basis of
types, the global big data market can be categorized into software, hardware, and services. The software
segment can be further segmented, into discovery and visualization tools, databases, hadoop distribution tools
and products, system software, and others. The hardware segment can be further divided, into storage, servers,
and network equipment. The services can be further categorized, as consulting services, integration &
deployment services, training and outsourcing services. On the basis of big data service, the global market can
be categorized into hadoop-as-a-service (HAAS), data-as-a-service, analytics and visualization-as-a-service, and
others. By end users, the global big-data market can be categorized, into manufacturing, web, healthcare,
telecommunications, energy and natural resources (oil and gas), enterprises, transportation, logistics and
distribution, gaming, university, research and education, bioinformatics, government and public utilities, media &
entertainment, consumer and retail, banking, financial services, and insurance (BFSI).
The need for big data evolved to manage relational database management systems, desktop statistics, and
visualization packages to handle large quantities of data. For big organizations, managing hundreds of gigabytes
of data, for the first time, necessitates the need for an effective data management solution.
Demand of advanced analytics and data warehousing, among big data applications and big data security
intelligence, are some of the opportunities, for the growth of the global big data market, during the forecast period.
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Global Big Data Market Size, Share, Development, Growth and
Demand Forecast to 2020
However, lack of security measures, agreement for big data governance, and lack of skilled personnel, to convert
machine learning to operational workflows are some of the restraints associated with the global big data market.
The major limitation in this market is the lack of skilled personnel. There are large number of data scientists and
IT staffs that are aware of the potential of big data; however they are unable to implement them effectively, due to
the lack of expertise in this domain.
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Accenture, International Business Machines Corp., Cisco Systems Inc, Cloudera Inc., Dell, EMC Corporation,
Amazon Web Services Inc., Oracle Corp, HP, Microsoft, Hitachi Data Systems Corporation, are the major
competitors in the global big data market. Companies providing software and hardware IT solutions are looking
forward to gain a better competitive advantage in this rising market, thereby creating refined analytical solutions,
and data management platforms for the enterprises.
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