Big data Market Variables, Trends & Scope Till 2025 “Big data market is the term for large and complex data set that includes challenges like capturing, storing, sharing, transferring and analyzing data. The traditional data processing software is inadequate to deal with them.� Big Data Market is the term for large and complex data set that includes challenges like capturing, storing, sharing, transferring and analyzing data. The traditional data processing software is inadequate to deal with them. Increasing popularity of social media that produce large amount of data can act as driver for its growth. The market size was USD 25.67 billion in 2015 and it is forecasted that it will grow to USD 123.2 billion by 2025. Big data market includes software and services which can be further divided into big data analytics, data discovery and visualization. The growing demand for big data analysis includes increase in easy sharing, mobile devices, internet penetration, abundant information and resources. The market has shown tremendous growth in its adoption rate recently. The market is segmented across geographical regions like Latin America, MEA, Asia pacific, North America and Europe. Asia-pacific is expected to be fast growing region. Hardware Insights This mainly includes storage devices, Network components and server that are used for data processing and storage. It is estimated that network component market will grow about CAGR 20% over a given period because of big data. Security becomes important when it comes to handling large data, so new network security paradigm and algorithm should be developed. At present due to cloud computing there is elevating demand for storage space and in coming nine years it is expected to witness more healthy growth. Software Insights Visualization or Graphical user interface (GUI) is important because user need to access data when required. This market will witness growth with CAGR more than 15% over given time period. The big data market is expected to present great opportunity for data vendor in next four to five years, so proper and effective visualization is needed.
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