The renowned companies in the Hadoop Big Data Analytics Market globally are IBM Corporation (U.S.), Teradata Corporation (U.S.), Cloudera, Inc. (U.S.), MapR Technologies (U.S.), Microsoft Corporation (U.S.), Amazon Web Services (U.S.), Tableau Software, Inc. (U.S.), Pentaho Corporation (U.S.), Datameer, Inc. (U.S.), Karmasphere, Inc. (U.S.), and among others.
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Hadoop Big Data Analytics Market – Overview
The reliance on Hadoop big data analytics stems from the need for massive storage requirements for all kinds of data. Market reports associated to the information and communication technology industry have been put forward by Market Research Future which generates reports on other industry verticals that target the study of recent market scenarios better. The market is projected to achieve earnings amounting to 52 Billion by 2023 while developing at a CAGR of 36.37 %.
The open source software framework of Hadoop big data analytics is a primary factor motivating the development of the market. The immense demand for Hadoop big data analytics from end users’ industries such as automotive, BFSI and IT/ITES, Telecommunication are expected to motivate the development of the market positively. The increase in volumes of unstructured and structured data is expected to boost the development of the Hadoop big data analytics market in the coming years.
The segmental analysis of the Hadoop big data analytics market is carried on the basis of solution, services, application, region and vertical. On the basis of solution, the Hadoop big data analytics market is segmented into application software and managed software. Based on service, the Hadoop big data analytics market is segmented into managed services and consulting and development service. On the basis of application, the Hadoop big data analytics market is segmented into risk & fraud analytics and customer analytics. The segmentation of the market for Hadoop big data analytics on the basis of vertical comprises of manufacturing, BFSI, healthcare, telecommunication, and IT/ITES. The regions considered in the Hadoop big data analytics market globally are Asia Pacific, North America, Europe and Rest of the World.
Detailed Regional Analysis
The region-based study of the Hadoop Big Data Analytics Market globally includes regions such as Asia Pacific, North America, Europe and the rest of the world. The study specifies that the North American region is controlling the Hadoop big data analytics market due to factors such as amplified internet penetration and technological progress. The study also reveals that cloud deployment and rising demand of real-time data is a driving factor for the Asia Pacific region to increase significantly in the Hadoop Big Data Analytics market globally by the conclusion of the forecast period. The rising implementation of IT services and big data analysis is also expected to encourage the growth of the Hadoop Big Data Analytics market.
The market shows an intensified growth pace due to the constructive influence exerted by the market forces from both internally and externally. The absorbed costs in the market are effortlessly dealt with, unlocking more room for expansion in the market. The promotional and miscellaneous expenses are upgraded chiefly due to the advancement of the market. The accretive nature of a few of the assets in the market is projected to increase the progress capability of the market. Moreover, the alliances being created in the market are projected to additionally encourage the development of the market in the approaching years. The players are staunchly taking on the obstacles to progress and are building strategies that are expected to lead to a useful effect on the market’s progress. Specific areas in the market are projected to accomplish an absolute lead in the market place owing to improved strategies.
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Oct 2018 Cloudera and Hortonworks, two rival companies have together announced a merger. The definitive agreement under which the businesses will come together in an all-stock merger of equals, also divulged their roadmap to make Hadoop native to the cloud and bring in the expansion of next-gen data platform leader.
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