Hadoop Market 2016 by Deployment, Product, End-User, Analysis and Forecast To 2020
Global Hadoop Market, 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.
August 30, 2017 /MarketersMedia/ —
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 Publisher, 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.
Publisher’s analysts forecast the global Hadoop market to grow at a CAGR of 59.37% during the period 2016-2020.
Complete Report Available at: http://www.reportsweb.com/global-hadoop-market-2016-2020 .
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
Publisher’s 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
Get Sample of the Report at: http://www.reportsweb.com/inquiry&RW0001242802/sample .
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
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
Inquire about Report at: http://www.reportsweb.com/inquiry&RW0001242802/buying .
Table of Contents
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Market research methodology
PART 04: Introduction
PART 05: Emergence of Hadoop
PART 06: Hadoop components
PART 07: Hadoop projects ecosystem
PART 08: Hadoop-based big data management process
PART 09: Market size and forecast
PART 10: Market segmentation by deployment
PART 11: Market segmentation by product
PART 12: Market segmentation by end-user
PART 13: Market segmentation by region
PART 14: Market drivers
PART 15: Impact of drivers
PART 16: Market challenges
PART 17: Impact of drivers and challenges
PART 18: Market trends
PART 19: Five forces analysis
PART 20: Vendor landscape
PART 21: Hadoop distribution vendors
PART 22: Technology partners
PART 23: Other prominent vendors
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