Hadoop 2016 Global Market Expected to Grow at CAGR 59.37% and Forecast to 2020

WiseGuyReports.Com Publish a New Market Research Report On – “Hadoop 2016 Global Market Expected to Grow at CAGR 59.37% and Forecast to 2020”.

PUNE, INDIA, December 15, 2016 /EINPresswire.com/ --

The analysts forecast the global Hadoop market to grow at a CAGR of 59.37% during the period 2016-2020.
The increased amount of data on the internet from various modes such as web logs, online transactions, social media, and video streaming has forced organizations to take proactive measures to store and manage data and derive useful insights. According to Technavio, approximately 7 zettabytes of data churned out from enterprises globally in 2015. Out of the total, more than 80% was unstructured data that came from social media platforms, clickstreams, server logs, sensors, and the Internet of Things. Storing useful information and deriving insights from unstructured data and real-time analytics are challenging tasks for organizations.

Hadoop played a pivotal role for enterprises over the past 4-5 years in handling the increase of data. Apache Hadoop is a framework that works on a clustered file system that can share multiple servers simultaneously. It is an open-source software platform that uses MapReduce technology, which is a programming model that allows for processing and generating large data sets with a distributed algorithm on a cluster. The technology involves two steps. The Map step helps control nodes from various sources such as legacy systems and extensible markup language files. In the Reduce step, various smaller work nodes of information are created and distributed across a computing cluster server. This will help perform distributed computations on various hardware servers.

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Covered in this report
The report covers the present scenario and the growth prospects of the global Hadoop market for 2016-2020. To calculate the market size, the report considers revenue generated from the sales of Hadoop solutions with functionalities such as MapReduce, integrated solutions, and services (consultation, training, and maintenance). The revenue generated from after-sales services is not considered.

The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA

The report, Global Hadoop Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
• Cloudera
• Hortonworks
• MapR
• Amazon Web Services
• Cisco Systems
• Datameer
• IBM
• Microsoft
• Oracle
• Pivotal
• Teradata

Other prominent vendors
• Altiscale
• Cask
• Google
• HP
• Infochimps
• Karmasphere
• Mortar Data
• Pentaho

Market driver
• Hadoop ensures optimal use of resources
• For a full, detailed list, view our report

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Market challenge
• Dearth of technical skill act as a barrier during deployment phases
• For a full, detailed list, view our report

Market trend
• Rising need to enhance flexibility and scalability to make operational decisions
• For a full, detailed list, view our report

Key questions answered in this report
• What will the market size be in 2020 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?

Table Of Contents – Major Key Points

PART 01: Executive summary
• Key findings

PART 02: Scope of the report
• Hadoop distribution vendors
• Technology partners

PART 03: Market research methodology
• Research methodology
• Economic indicators

PART 04: Introduction
• Key market highlights

PART 05: Emergence of Hadoop
• How Hadoop came into picture
• Data and Hadoop story

PART 06: Hadoop components
• Hadoop 1.0 and Hadoop 2.0 overview
• Hadoop components

PART 07: Hadoop projects ecosystem

PART 08: Hadoop-based big data management process
• Comparison of Hadoop and RDBMS

PART 09: Market size and forecast

PART 10: Market segmentation by deployment
• Market overview
• Global Hadoop market by deployment

PART 11: Market segmentation by product
• Global Hadoop market by product

PART 12: Market segmentation by end-user
• Global Hadoop market by end-user

……..CONTINUED

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