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Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. The Hadoop is a complete eco-system of open source projects that provide us the framework to deal with big data. It helps in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business. The  growing volume of big data and convergence of IoT among others are fueling the growth of this market.

Big data is a collection of large datasets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, technqiues and frameworks. Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.

The Global Hadoop Big Data Analytics Market is projected to grow at a CAGR of 44.65% by 2026. Increasing demand of flow sensors by various end- users is major factor for the growth of this market.

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Key players profiled in this reports: MapR Technologies, Karmasphere, Teradata, Trendwise Analytics, SAP SE, Pivotal Software, Marklogic Corporation, Amazon Web Services, Hitachi Vantara, Cloudera, Appnovation, O’Reilly Media, Microsoft, IBM Corporation,TABLEAU SOFTWARE, Hortonworks , among others.

The Hadoop Big Data Analytics Market report provides market insights which help gain more precise understanding of the market landscape, issues that may impose on the ICT industry in the future, and how to position specific brands in the best way. This market research report answers many critical business questions and challenges related to ICT industry and prove to be a go-to solution. It saves valuable time as well as adds credibility to the work that is performed to grow business. To thrive in this competitive market place, market research report plays a vital role which gives important and meaningful market insights for your business.

Table of Content:

  • Part 01: Executive Summary
  • Part 02: Scope of The Report
  • Part 03: Global Hadoop Big Data Analytics Market Landscape
  • Part 04: Global Hadoop Big Data Analytics Market Sizing
  • Part 05: Global Hadoop Big Data Analytics Market Segmentation by Product
  • Part 06: Five Forces Analysis
  • Part 07: Customer Landscape
  • Part 08: Geographic Landscape
  • Part 09: Decision Framework
  • Part 10: Drivers and Challenges
  • Part 11: Market Trends
  • Part 12: Vendor Landscape
  • Part 13: Vendor Analysis

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Focus of the report

  1. CAGR values in the market for the forecast period
  2. Key trends in the market place
  3. Major players and brands
  4. Historical and current market size and projection up to 2026.
  5. Detailed overview of parent market
  6. Changing market dynamics of the industry

Major Market Drivers & Restraints:

  • Growing Volume of Big Data
  • Convergence of IoT
  • Non-Uniformity of Data
  • Immaturity of Hadoop Platform
  • Cost Effective and Quick Solutions
  • Increasing Demand for Big Data Analytics

Market Segmentation: Hadoop Big Data Analytics Market

The global Hadoop big data analytics market is segmented on the basis of solution into packaged software, management software, application software and performance monitoring software.

  • On the basis of service, the global Hadoop big data analytics market is segmented into consulting & development services, training & support services, admin & managed services.
  • On the basis of application, the global Hadoop big data analytics market is segmented into risk & fraud analytics, internet of things (iot), customer analytics, security intelligence, distributed coordination service, merchandising & supply chain analytics, offloading mainframe application, operational intelligence and linguistic analytics.
  • On the basis of vertical, the global Hadoop big data analytics market is segmented into banking, financial services & insurance (BFSI), government & defense, healthcare & life sciences, manufacturing, retail & consumer goods, media & entertainment, energy & utility, transportation & scm, it & telecommunication, academia & research and others.
  • On the basis of geography, global Hadoop big data analytics market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific, and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others. In 2017, North America is expected to dominate the market.

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Reasons to Purchase this Report

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  • The segment that is expected to dominate the market as well as the segment which holds highest CAGR in the forecast period
  • Regions/Countries that are expected to witness the fastest growth rates during the forecast period
  • The latest developments, market shares, and strategies that are employed by the major market players

Key insights in the report:

  • Complete and distinct analysis of the market drivers and restraints
  • Key Market players involved in this industry
  • Detailed analysis of the Market Segmentation
  • Competitive analysis of the key players involved

(Excerpt) Read more Here | 2019-07-08 23:10:19
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