Welcome!

Artificial Intelligence Authors: Pat Romanski, Yeshim Deniz, William Schmarzo, Liz McMillan, Elizabeth White

News Feed Item

Research and Markets: Big Data Market - Global Scenario, Trends, Industry Analysis, Size, Share And Forecast, 2012 - 2018

Research and Markets (http://www.researchandmarkets.com/research/vg2hq9/big_data_market) has announced the addition of the "Big Data Market - Global Scenario, Trends, Industry Analysis, Size, Share And Forecast, 2012 - 2018" report to their offering.

The humungous amount of data generated across various sectors is termed as big data. The exponential growth in the quantum of big data is leading to the development of advanced technology and tools that can manage and analyze this data. Hadoop technology is used by Yahoo, Facebook, LinkedIn and eBay among others to manage and analyze the big data. This study will provide complete insights of the Big Data market and explain about the current trends and factors responsible for driving market growth. The analysis will prove helpful for emerging players to know about the growth strategies implemented by existing players and help existing players in strategic planning.

The report includes segmentation of the big data market by components, by applications and by geography. The different components included are software and services, hardware and storage. Software and services segment dominates the components market whereas storage segment will be the fastest growing segment for the next 5 years owing to the perpetual growth in the data generated. We have covered eight applications namely financial services, manufacturing, healthcare, telecommunication, government, retail and media & entertainment and others in the application segment. Financial Services, healthcare and the government sector are the top three contributors of the big data market and together held more than 55% of the big data market in 2012. Media and Entertainment and the healthcare sectors will grow at high CAGR of nearly 42% from 2012 to 2018. The growth in data in the form of video, images, and games is driving the media and entertainment segment.

The key drivers, restraints and opportunities are a part of this study along with the impact analysis of the drivers and restraints, which would serve as a strategic tool for players of the market to take corporate decisions. Porter's five forces analysis covered will further help the reader to understand the intensity of competition among the different players in the market. The market share analysis of the players of this market will give a holistic picture of the intensity of competition prevalent in the market. In addition to this; the research also includes an overview of the big data market by product requirements consisting of existing Database Management Systems (DBMS), Relational Database Management Systems (RDBMS), Structured Query Language (SQL) and Hadoop. The comparison between SQL databases and Hadoop would provide a better idea about the benefits of Hadoop over SQL.

We have used secondary research for deriving our market numbers for each segment of the research report and further validated our analysis with C-level executives of major companies operating in the big data market as well as the users of big data tools through means of primary research to finally come up with our results.

Key Topics Covered:

Chapter 1 Preface

Chapter 2 Executive Summary

Chapter 3 Big Data Market Analysis

Chapter 4 Big Data Market By Product Requirements

Chapter 5 Big Data Market by Components

Chapter 6 Big Data Market By Application

Chapter 7 Big Data Market By Geography

Chapter 8 Competitive Landscape

Chapter 9 Company Profiles

Companies Mentioned

- Hewlett-Packard Co. (HP)

- Teradata Corporation

- Opera Solutions

- Mu Sigma

- Splunk Inc.

- Cloudera

- EMC

- IBM

- Calpont Corporation

- Oracle Corporation

For more information visit http://www.researchandmarkets.com/research/vg2hq9/big_data_market

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
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 ...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
The Founder of NostaLab and a member of the Google Health Advisory Board, John is a unique combination of strategic thinker, marketer and entrepreneur. His career was built on the "science of advertising" combining strategy, creativity and marketing for industry-leading results. Combined with his ability to communicate complicated scientific concepts in a way that consumers and scientists alike can appreciate, John is a sought-after speaker for conferences on the forefront of healthcare science,...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...