Click here to close now.

Welcome!

Recurring Revenue Authors: Liz McMillan, Hovhannes Avoyan, Lori MacVittie, Pat Romanski, Elizabeth White

News Feed Item

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

NEW YORK, Feb. 20, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

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

http://www.reportlinker.com/p01103866/Big-Data-Market---Global-Scenario-Trends-Industry-Analysis-Size-Share-And-Forecast-2012---2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Software_and_Consulting

Description

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 multiple and varied stakeholders including the medical and pharmaceutical product industries, providers and patients, all generate pools of data. A major portion of the clinical data is not yet digitized and so big data tools are helping these stakeholders to use the pool of data effectively. The cross-sectional analysis based on geographic segments has also been covered in this report and the major four geographies covered are North America, Europe, Asia Pacific and RoW. North America is the largest market and held nearly 55% of the total big data market in 2012. This region will continue to dominate the big data market in future but Asia Pacific region will prove to be the fastest growing market and will grow at a CAGR of 42.6% from 2012 to 2018. The shortage of talented personnel to analyze the big data will limit the growth of this market in North America.

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..

Table of Contents

Chapter 1 Preface
1.1 Report Description
1.2 Research Methodology

Chapter 2 Executive Summary

Chapter 3 Big Data Market Analysis
3.1 Big Data Market Overview
3.2 Market Dynamics
3.2.1 Drivers
3.2.1.1 Potential For New Insights that Drive Competitive Advantage
3.2.1.2 Exponential Growth in Different Formats of Data Collected and Stored
3.2.1.3 Cost Advantages and Higher Efficiency of Commodity Hardware & Open Source Software
3.2.2 Restraints
3.2.2.1 Shortage of Talent to Capture the Potential from Big Data
3.2.2.2 Inability to Collect and Manage the Data Effectively and Efficiently
3.2.3 Opportunities
3.2.3.1 Provides Opportunity to Create Innovative Business Models
3.2.3.2 Developing Regions like Asia Pacific Offers Better Opportunity
3.3 Market Trends and Future Outlook
3.4 Market Attractiveness Analysis
3.5 Key Growth Factors
3.6 Porter's Five Force Analysis
3.6.1 Bargaining Power of Suppliers
3.6.2 Bargaining Power of Buyers
3.6.3 Threat of Substitutes
3.6.4 Threat of New Entrants
3.6.5 Rivalry among Competitors

Chapter 4 Big Data Market By Product Requirements
4.1.1 Existing DBMS Market
4.1.2 Hadoop – Full Fledged Market
4.1.3 Big-Data-As-A-Service
4.1.4 Relational Database Management System (RDBMS)
4.1.5 Comparison of SQL Databases and Hadoop
4.1.6 Limitations of Big Data

Chapter 5 Big Data Market by Components
5.1 Software and Services Market Size and Forecast, 2012 – 2018
5.1.1 Market Trend
5.1.2 Market Size and Forecast
5.2 Hardware Market Size and Forecast, 2012 – 2018
5.2.1 Market Trend
5.2.2 Market Size and Forecast
5.3 Storage Market Size and Forecast, 2012 – 2018
5.3.1 Market Trend
5.3.2 Market Size and Forecast

Chapter 6 Big Data Market By Application
6.1 Financial Services Market Size and Forecast, 2012 – 2018
6.1.1 Market Trend
6.1.2 Market Size and Forecast
6.2 Manufacturing Market Size And Forecast, 2012 – 2018
6.2.1 Market Trend
6.2.2 Market Size and Forecast
6.3 Healthcare Market Size and Forecast, 2012 - 2018
6.3.1 Market Trend
6.3.2 Market Size and Forecast
6.4 Telecommunication Market Size and Forecast, 2012 – 2018
6.4.1 Market Trend
6.4.2 Market Size and Forecast
6.5 Government Market Size and Forecast, 2012 – 2018
6.5.1 Market Trend
6.5.2 Market Size and Forecast
6.6 Retail Market Size And Forecast, 2012 - 2018
6.6.1 Market Trend
6.6.2 Market Size and Forecast
6.7 Media and Entertainment Market Size and Forecast, 2012 - 2018
6.7.1 Market Trend
6.7.2 Market Size and Forecast
6.8 Others Market Size and Forecast, 2012 – 2018
6.8.1 Market Trend
6.8.2 Market Size and Forecast

Chapter 7 Big Data Market By Geography
7.1 North America Market
7.1.1 Market Trend
7.1.2 Market Size and Forecast, 2012 – 2018
7.2 Europe Market
7.2.1 Market Trend
7.2.2 Market Size and Forecast, 2012 – 2018
7.3 Asia Pacific Market
7.3.1 Market Trend
7.3.2 Market Size and Forecast, 2012 – 2018
7.4 Row Market
7.4.1 Market Trend
7.4.2 Market Size and Forecast, 2012 – 2018

Chapter 8 Competitive Landscape
8.1 Market Share by Key Players

Chapter 9 Company Profiles
9.1 Hewlett-Packard Co. (HP)
9.1.1 Company Overview
9.1.2 Business Overview
9.1.3 Financial Overview
9.1.4 Recent Developments
9.2 Teradata Corporation
9.2.1 Company Overview
9.2.2 Financial Overview
9.2.3 Business Overview
9.2.4 Recent Development
9.3 Opera Solutions
9.3.1 Company Overview
9.3.2 Business Overview
9.3.3 Financial Overview
9.3.4 Recent Developments
9.4 Mu Sigma
9.4.1 Company Overview
9.4.2 Business Overview
9.4.3 Financial Overview
9.4.4 Recent Developments
9.5 Splunk Inc.
9.5.1 Company Overview
9.5.2 Business Overview
9.5.3 Financial Overview
9.5.4 Recent Developments
9.6 Cloudera
9.6.1 Company Overview
9.6.2 Business Overview
9.6.3 Financial Overview
9.6.4 Recent Developments
9.7 EMC
9.7.1 Company Overview
9.7.2 Business Overview
9.7.3 Financial Overview
9.7.4 Recent Developments
9.8 IBM
9.8.1 Company Overview
9.8.2 Financial Overview
9.8.3 Business Overview
9.8.4 Recent Developments
9.9 Calpont Corporation
9.9.1 Company Overview
9.9.2 Business Overview
9.9.3 Financial Overview
9.9.4 Recent Developments
9.10 Oracle Corporation
9.10.1 Company Overview
9.10.2 Business Overview
9.10.3 Financial Overview
9.10.4 Recent Developments

List of Figures

FIG. 1 PORTER'S FIVE FORCES ANALYSIS FOR BIG DATA MARKET
FIG. 2 BIG-DATA-AS-A-SERVICE
FIG. 3 GLOBAL BIG DATA SOFTWARE AND SERVICES MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 4 GLOBAL BIG DATA HARDWARE MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 5 GLOBAL BIG DATA STORAGE MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 6 GLOBAL BIG DATA IN FINANCIAL SERVICES, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 7 GLOBAL BIG DATA IN MANUFACTURING, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 8 GLOBAL BIG DATA IN HEALTHCARE, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 9 GLOBAL BIG DATA IN TELECOMMUNICATION, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 10 GLOBAL BIG DATA IN GOVERNMENT, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 11 GLOBAL BIG DATA IN RETAIL, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 12 GLOBAL BIG DATA IN MEDIA AND ENTERTAINMENT, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 13 GLOBAL BIG DATA IN OTHERS, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION)
FIG. 14 NORTH AMERICA BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION)
FIG. 15 EUROPE BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION)
FIG. 16 ASIA PACIFIC BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION)
FIG. 17 ROW BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION)
FIG. 18 BIG DATA MARKET SHARE BY KEY PLAYERS, 2012 (%)
FIG. 19 HP ANNUAL REVENUE (USD MILLION), 2009 – 2011
FIG. 20 TERADATA ANNUAL REVENUE (USD MILLION), 2009 – 2011
FIG. 21 SPLUNK INC. REVENUE (USD MILLION), NINE MONTHS ENDED OCTOBER 2011 AND 2012
FIG. 22 EMC CORPORATION ANNUAL REVENUE (USD BILLION), 2009 – 2011
FIG. 23 IBM ANNUAL REVENUE (USD MILLION), 2009 – 2011
FIG. 24 ORACLE CORPORATION ANNUAL REVENUE (USD MILLION), 2010 – 2012

List of Tables

TABLE 1 DRIVERS OF GLOBAL BIG DATA MARKET: IMPACT ANALYSIS
TABLE 2 RESTRAINTS FOR BIG DATA MARKET: IMPACT ANALYSIS
TABLE 3 GLOBAL BIG DATA MARKET BY COMPONENTS, 2011-2018, (USD MILLION)

To order this report:
Software_and_Consulting Industry:
Big Data Market - Global Scenario, Trends, Industry Analysis, Size, Share And Forecast, 2012 - 2018

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.

@ThingsExpo Stories
SYS-CON Events announced today that BMC will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. BMC delivers software solutions that help IT transform digital enterprises for the ultimate competitive business advantage. BMC has worked with thousands of leading companies to create and deliver powerful IT management services. From mainframe to cloud to mobile, BMC pairs high-speed digital innovation with robust IT industrialization – allowing customers to provide amazing user experiences with optimized IT per...
As the Internet of Things unfolds, mobile and wearable devices are blurring the line between physical and digital, integrating ever more closely with our interests, our routines, our daily lives. Contextual computing and smart, sensor-equipped spaces bring the potential to walk through a world that recognizes us and responds accordingly. We become continuous transmitters and receivers of data. In his session at @ThingsExpo, Andrew Bolwell, Director of Innovation for HP's Printing and Personal Systems Group, discussed how key attributes of mobile technology – touch input, sensors, social, and ...
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo, June 9-11, 2015, at the Javits Center in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue of profound change in the industry.
WebRTC defines no default signaling protocol, causing fragmentation between WebRTC silos. SIP and XMPP provide possibilities, but come with considerable complexity and are not designed for use in a web environment. In his session at @ThingsExpo, Matthew Hodgson, technical co-founder of the Matrix.org, discussed how Matrix is a new non-profit Open Source Project that defines both a new HTTP-based standard for VoIP & IM signaling and provides reference implementations.
Buzzword alert: Microservices and IoT at a DevOps conference? What could possibly go wrong? In this Power Panel at DevOps Summit, moderated by Jason Bloomberg, the leading expert on architecting agility for the enterprise and president of Intellyx, panelists will peel away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem fil...
"People are a lot more knowledgeable about APIs now. There are two types of people who work with APIs - IT people who want to use APIs for something internal and the product managers who want to do something outside APIs for people to connect to them," explained Roberto Medrano, Executive Vice President at SOA Software, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Almost everyone sees the potential of Internet of Things but how can businesses truly unlock that potential. The key will be in the ability to discover business insight in the midst of an ocean of Big Data generated from billions of embedded devices via Systems of Discover. Businesses will also need to ensure that they can sustain that insight by leveraging the cloud for global reach, scale and elasticity.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial Cloud.
Building low-cost wearable devices can enhance the quality of our lives. In his session at Internet of @ThingsExpo, Sai Yamanoor, Embedded Software Engineer at Altschool, provided an example of putting together a small keychain within a $50 budget that educates the user about the air quality in their surroundings. He also provided examples such as building a wearable device that provides transit or recreational information. He then reviewed the resources available to build wearable devices at home including open source hardware, the raw materials required and the options available to power s...
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Collecting data in the field and configuring multitudes of unique devices is a time-consuming, labor-intensive process that can stretch IT resources. Horan & Bird [H&B], Australia’s fifth-largest Solar Panel Installer, wanted to automate sensor data collection and monitoring from its solar panels and integrate the data with its business and marketing systems. After data was collected and structured, two major areas needed to be addressed: improving developer workflows and extending access to a business application to multiple users (multi-tenancy). Docker, a container technology, was used to ...
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, Big Data and IoT isn’t just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact.
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines and devices with Big Data and the cloud, including interoperability, data security and privacy.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...