Outlook on the Big Data Software Global Market to 2026 - by Software Type, Deployment Type, Industry, End-use and Region

By Research10 days ago

DUBLIN, May 4, 2021 /PRNewswire/ -- The Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026 report has been added to ResearchAndMarkets.com's offering.

The global big data software market reached a value of US$ 142.4 Billion in 2020. Big data software refers to a type of software that is used to collect, host, and analytically process the dynamic and disparate volume of data created by people, tools, or machines. It focuses on providing efficient analytics for extremely large datasets that assist the organization in gaining deep insight by converting the data into high-quality information, pertaining to the business situation. Furthermore, the software also helps in discovering hidden patterns, unknown correlation, market trends, consumer preferences, and other useful information from a wide variety of data sets.

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Over the years, there has been a rise in the demand for big data software owing to the significant amount of data being generated by sensors from the Internet of Things (IoT). Moreover, the growth of artificial intelligence/machine learning (ML) as an innovative technology within data management and analytics software, coupled with the rapid digitalization across emerging nations, is bolstering the market demand globally. Furthermore, the increasing significance of data in modern enterprises backed by the rising investments in technology, resulting in deep assessments of current business practices will continue to stimulate the market growth in the upcoming times. Looking forward, the publisher expects the global big data software market to exhibit strong growth during the next five years.

Competitive Landscape:

The competitive landscape of the industry has also been examined with some of the key players being AWS, Cloudera, Hortonworks, IBM, Informatica, Microsoft, Oracle, Palantir, SAP, SAS, and Splunk.

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