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Global hadoop big data analytics market report for 2017 scrutinized in new research

IT Market Research

The Hadoop big data analytics market on the basis of component, application, vertical, and region. It also aims to provide information regarding key factors influencing market growth, and strategically analyze subsegments with respect to individual growth trends, future prospects, and contribution to the total market.

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The report helps analyze opportunities in the market for stakeholders, provide strategic profiles of key market players to comprehensively analyze core competencies, and draw a competitive landscape of the market. The base year considered for the study is 2015 and the forecast period is from 2017 to 2021.

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The research methodology used to estimate and forecast the Hadoop big data analytics market begins with obtaining data on key vendor revenues and the market size of individual segments through secondary sources, such as annual reports, press releases, investors’ presentations, white papers, and paid databases, which include Factiva and Bloomberg, among others. Vendor offerings are also taken into consideration to determine market segmentation.

The bottom-up procedure was employed to arrive at the overall size of Hadoop big data analytics from the revenue of key players (companies) present in the market.


This report studies Hadoop Big Data Analytics in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with capacity, production, price, revenue and market share for each manufacturer, covering

Amazon Web Services (AWS)


IBM Corporation

MAPR Technologies

Marklogic Corporation

Memsql Inc

Microsoft Corporation


Tableau Software

Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of Hadoop Big Data Analytics in these regions, from 2011 to 2021 (forecast), like

North America



Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into

Risk & Fraud Analytics

Internet of Things

Customer Analytics

Security Intelligence

Distributed Coordination Service

Merchandising & Supply Chain Analytics

Operational Intelligence

Offloading Mainframe Application

Linguistic Analytics

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