Welcome!

Microsoft Cloud Authors: Pat Romanski, Liz McMillan, Lori MacVittie, Elizabeth White, Yeshim Deniz

News Feed Item

Global Hadoop Market 2014-2018

NEW YORK, March 20, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Global Hadoop Market 2014-2018
http://www.reportlinker.com/p01095407/Global-Hadoop-Market-2014-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Marketing

TechNavio's analysts forecast the Global Hadoop market to grow at a CAGR of 42.04 percent over the period 2013-2018. One of the key factors contributing to this market growth is the increasing generation of structured and unstructured data. The Global Hadoop market has also been witnessing the increasing consideration for NoSQL by developers. However, the lack of skilled professionals could pose a challenge to the growth of this market.

TechNavio's report, the Global Hadoop Market 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, and the EMEA and APAC regions; it also covers the Global Hadoop market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors dominating this space are Amazon Web Services Inc., Cloudera Inc., EMC Corp., Hortonworks Inc., IBM Corp., MapR Technologies Inc., and Microsoft Corp.
Other vendors mentioned in the report are Datameer Inc., DataStax Inc., Hadapt Inc., HStreaming llc, Karmasphere Inc., NGDATA Inc., Oracle Corp., Pentaho Corp., Teradata Corp., and Zettaset Inc.

Key questions answered in this report:

What will the market size be in 2018 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.

01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Hadoop Components
06.1.1 Hadoop Distributed File System (HDFS)
06.1.2 MapReduce

06.2 Hadoop Tools
06.2.1 Ambari
06.2.2 Cassandra
06.2.3 HBase
06.2.4 Hive
06.2.5 Pig
06.2.6 ZooKeeper
06.3 Market Size and Forecast
06.4 Five Forces Analysis
07. Geographical Segmentation
08. Buying Criteria
09. Market Growth Drivers
10. Drivers and their Impact
11. Market Challenges
12. Impact of Drivers and Challenges
13. Market Trends
14. Trends and their Impact
15. Vendor Landscape
15.1 Competitive Scenario
15.2 Major Prominent Vendors

15.3 Other Prominent Vendors
15.3.1 Datameer Inc.
15.3.2 DataStax Inc.
15.3.3 Hadapt Inc.
15.3.4 HStreaming
15.3.5 Karmasphere Inc.
15.3.6 NGDATA Inc.
15.3.7 Oracle Corp.
15.3.8 Pentaho Corp.
15.3.9 Teradata Corp.
15.3.10 Zettaset Inc.
16. Key Vendor Analysis
16.1 Amazon Web Services Inc.
16.1.1 Business Overview
16.1.2 Business Segmentation
16.1.3 Key Information
16.1.4 SWOT Analysis
16.2 Cloudera Inc.
16.2.1 Business Overview
16.2.2 Business Segmentation
16.2.3 Key Information

16.2.4 SWOT Analysis
16.3 EMC Corp.
16.3.1 Business Overview
16.3.2 Business Segmentation
16.3.3 Key Information
16.3.4 SWOT Analysis
16.4 Hortonworks Inc.
16.4.1 Business Overview
16.4.2 Key Information
16.4.3 SWOT Analysis
16.5 IBM Corp.
16.5.1 Business Overview
16.5.2 Business Segmentation
16.5.3 Key Information
16.5.4 SWOT Analysis
16.6 MapR Technologies Inc.
16.6.1 Business Overview
16.6.2 Key Information
16.6.3 SWOT Analysis
16.7 Microsoft Corp.
16.7.1 Business Overview
16.7.2 Business Segmentation
16.7.3 Key Information
16.7.4 SWOT Analysis
17. Other Reports in this Series

List of Exhibits

Exhibit 1: Market Research Methodology
Exhibit 2: Hadoop Components
Exhibit 3: Global Hadoop Market 2013-2018 (US$ million)
Exhibit 4: Global Hadoop Market by Geographical Segmentation 2013
Exhibit 5: Business Segmentation of Amazon Web Services Inc.
Exhibit 6: Business Segmentation of Cloudera Inc.
Exhibit 7: Business Segmentation of EMC Corp.
Exhibit 8: Business Segmentation of IBM Corp.
Exhibit 9: Business Segmentation of Microsoft Corp.

To order this report: Global Hadoop Market 2014-2018
http://www.reportlinker.com/p01095407/Global-Hadoop-Market-2014-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Marketing

__________________________
Contact Clare: [email protected]

US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the 22nd International CloudEXPO | DXWorldEXPO "Early Bird Registration" is now open. Register for Full Conference "Gold Pass" ▸ Here (Expo Hall ▸ Here)
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to impr...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and sh...
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time t...
What are the new priorities for the connected business? First: businesses need to think differently about the types of connections they will need to make – these span well beyond the traditional app to app into more modern forms of integration including SaaS integrations, mobile integrations, APIs, device integration and Big Data integration. It’s important these are unified together vs. doing them all piecemeal. Second, these types of connections need to be simple to design, adapt and configure...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Bi...
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...