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Global Hadoop Market 2016-2020

  • May 2016
  • -
  • Infiniti Research Limited
  • -
  • 72 pages

About the Hadoop Market

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.

Technavio’s analysts forecast the global Hadoop market to grow at a CAGR of 59.37% during the period 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

Technavio'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 vendorsoperating 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

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?

You can request one free hour of our analyst’s time when you purchase this market report. Details are provided within the report.

Table Of Contents

Global Hadoop Market 2016-2020
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
PART 13: Market segmentation by region
- Global Hadoop market by region
- Global Hadoop market by region 2015-2020
PART 14: Market drivers
- Big data plays a pivotal role in advent of Hadoop
- Hadoop ensures optimal use of resources
- Hadoop solution provides better clarity on time management
PART 15: Impact of drivers
PART 16: Market challenges
- Dearth of technical skill act as a barrier during deployment phases
- Difficulties with open-source software
- Real-time data analytics issues
- Hadoop platform's immaturity
PART 17: Impact of drivers and challenges
PART 18: Market trends
- Increasing investment in global Hadoop market
- HDaaS solution is encouraged by SMEs for cost-effectiveness
- Rising need to enhance flexibility and scalability to make operational decisions
PART 19: Five forces analysis
PART 20: Vendor landscape
- Hadoop distribution vendors vs technology partners
- Mapping of Hadoop distribution vendors with technology partners
PART 21: Hadoop distribution vendors
- Cloudera
- Hortonworks
- MapR
PART 22: Technology partners
- Amazon Web Services
- Cisco Systems
- Datameer
- IBM
- Microsoft
- Oracle
- Pivotal
- Teradata
PART 23: Other prominent vendors
PART 24: Appendix
- List of abbreviations
PART 25: Explore Technavio

List of Exhibits
Exhibit 01: On-premises and HDaaS segments of global Hadoop market 2015 and 2020 (% share)
Exhibit 02: Hadoop distribution offerings
Exhibit 03: Technology partners integrating Hadoop distribution
Exhibit 04: Advantages of Hadoop
Exhibit 05: NoSQL databases mapped to vendors
Exhibit 06: Hadoop components
Exhibit 07: Apache Hadoop ecosystem
Exhibit 08: Hadoop-based big data management process
Exhibit 09: Comparison of Hadoop and RDBMS
Exhibit 10: Global Hadoop market 2015-2020 ($ billions)
Exhibit 11: Global Hadoop market by deployment 2015 (% share)
Exhibit 12: Use of Hadoop in large companies
Exhibit 13: Global Hadoop market share by deployment 2015-2020 (% share)
Exhibit 14: Global Hadoop market by product type
Exhibit 15: Global Hadoop market by product 2015 (% share)
Exhibit 16: Global Hadoop market share by product 2015-2020 (% share)
Exhibit 17: Global Hadoop market by product 2015-2020 ($ billions)
Exhibit 18: Global Hadoop market by end-user
Exhibit 19: Geographical segmentation of Hadoop market 2015 (% share)
Exhibit 20: Geographical segmentation of Hadoop market 2020 (% share)
Exhibit 21: Geographical segmentation of Hadoop market 2015-2020 ($ billions)
Exhibit 22: Impact of drivers
Exhibit 23: Impact of drivers and challenges
Exhibit 24: Five forces analysis
Exhibit 25: Mapping of Hadoop distribution vendors with technology partners
Exhibit 26: Cloudera products and services
Exhibit 27: Hortonworks products
Exhibit 28: Amazon Web Services products
Exhibit 29: Amazon Web Services solutions
Exhibit 30: Datameer products
Exhibit 31: Other prominent vendors

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