Pune, India -- (SBWIRE) -- 05/14/2018 -- Hadoop is referred to an open source structure that allows big data analytics and storage and employs simple programming plans across dispersed clusters of computer. Big data is a huge volume of data and information and can be structured as well as unstructured. As the volume of information is extremely large, it cannot processed and stored by the conventional systems. Furthermore, it also supports institutions and organizations for understanding the trend and help in the decision making for the corporate level in real-time.

The Hadoop Big Data Analytics market estimate is anticipated to develop at a Compound Annual Growth Rate (CAGR) of +43%.

The Hadoop Big Data Analytics market report tries to clasp the fundamental methodologies taken by sellers in the worldwide market to offer product segmentation through Porter's five forces analysis. It also points out the ways in which these organizations can fortify their stand in the market and increase their revenues in the coming years. On the other hand, this global market is tremendous and profoundly unique, therefore making it challenging for the players to conduct a market research in-house. The report portrays a thorough summary of the global market and investigates the key micro- and macroeconomic factors distressing the growth of the market. The report moreover projects the size and valuation of the global market in the near future.

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Companies Profiled in this report includes, Microsoft Corporation, Amazon Web Services, IBM Corporation, Teradata Corporation, Tableau Software, Cloudera Inc., Pentaho Corporation, MarkLogic Corporation, SAP SE, and Pivotal Software.

The major drivers for the market growth is the growing volume of structured and unstructured data, increasing demand for big data analytics and quick and affordable data processing services offered by Hadoop technology. Distributed computing and security issues in Hadoop Platform are acting as the major restraints for growth of this market.

Based on the vertical segment, the logistics and transportation are expected to grow with the highest CAGR during the end of the end forecasted period. This growth is due to the implementation of intelligent transportation system and raising demand of integrated supply chain management system. Based on application, the risk & fraud analytics segment is projected to lead the Hadoop big data analytics market from 2016 to 2021. The need to improve operational efficiencies, detect fraud immediately and more accurately, model and manage risks, and reduce customer churn are factors contributing to the growing demand for Hadoop big data analytics by financial sector companies.

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Major markets include North America, Europe, Asia Pacific, Middle East & Africa and Central & South America. North America and Europe dominated this market in the recent past and are expected to show a similar trend over the forecast period. Developing regions such as Asia Pacific is projected to observe rapid growth over the forecast period owing to rapid industrialization and urbanization. Government initiatives such as creating smart cities are presumed to open up ample growth opportunities over the next five years.

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Significant Highlights of the Report:

- A pure assessment of the orbit of the market
- Studies on the evolving Global Hadoop Big Data Analytics market segments regions
- Market shares and strategies of leading players that are involved in the market
- Market segmentation up to the last level
- A point-to-point assessment of the market development
- Historical, present, and future size of the market from the perspective of both value and volume
- Suggestions to the companies to establish their foothold in the market

Table of Contents

Global Hadoop Big Data Analytics Market Research Report
Chapter 1 Global Hadoop Big Data Analytics Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast