Welcome!

Eclipse Authors: David H Deans, Liz McMillan, JP Morgenthal, Mano Marks, Yeshim Deniz

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
Recently, WebRTC has a lot of eyes from market. The use cases of WebRTC are expanding - video chat, online education, online health care etc. Not only for human-to-human communication, but also IoT use cases such as machine to human use cases can be seen recently. One of the typical use-case is remote camera monitoring. With WebRTC, people can have interoperability and flexibility for deploying monitoring service. However, the benefit of WebRTC for IoT is not only its convenience and interopera...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, will introduce two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
SYS-CON Events announced today that Secure Channels, a cybersecurity firm, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Secure Channels, Inc. offers several products and solutions to its many clients, helping them protect critical data from being compromised and access to computer networks from the unauthorized. The company develops comprehensive data encryption security strategie...
SYS-CON Events announced today that App2Cloud will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct. 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. App2Cloud is an online Platform, specializing in migrating legacy applications to any Cloud Providers (AWS, Azure, Google Cloud).
WebRTC is the future of browser-to-browser communications, and continues to make inroads into the traditional, difficult, plug-in web communications world. The 6th WebRTC Summit continues our tradition of delivering the latest and greatest presentations within the world of WebRTC. Topics include voice calling, video chat, P2P file sharing, and use cases that have already leveraged the power and convenience of WebRTC.
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including en...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. Jack Norris reviews best practices to show how companies develop, deploy, and dynamically update these applications and how this data-first...
Intelligent Automation is now one of the key business imperatives for CIOs and CISOs impacting all areas of business today. In his session at 21st Cloud Expo, Brian Boeggeman, VP Alliances & Partnerships at Ayehu, will talk about how business value is created and delivered through intelligent automation to today’s enterprises. The open ecosystem platform approach toward Intelligent Automation that Ayehu delivers to the market is core to enabling the creation of the self-driving enterprise.
"We're a cybersecurity firm that specializes in engineering security solutions both at the software and hardware level. Security cannot be an after-the-fact afterthought, which is what it's become," stated Richard Blech, Chief Executive Officer at Secure Channels, in this SYS-CON.tv interview at @ThingsExpo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Massive Networks will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Massive Networks mission is simple. To help your business operate seamlessly with fast, reliable, and secure internet and network solutions. Improve your customer's experience with outstanding connections to your cloud.
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, will provide a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to ...
Consumers increasingly expect their electronic "things" to be connected to smart phones, tablets and the Internet. When that thing happens to be a medical device, the risks and benefits of connectivity must be carefully weighed. Once the decision is made that connecting the device is beneficial, medical device manufacturers must design their products to maintain patient safety and prevent compromised personal health information in the face of cybersecurity threats. In his session at @ThingsExpo...
From 2013, NTT Communications has been providing cPaaS service, SkyWay. Its customer’s expectations for leveraging WebRTC technology are not only typical real-time communication use cases such as Web conference, remote education, but also IoT use cases such as remote camera monitoring, smart-glass, and robotic. Because of this, NTT Communications has numerous IoT business use-cases that its customers are developing on top of PaaS. WebRTC will lead IoT businesses to be more innovative and address...
Everything run by electricity will eventually be connected to the Internet. Get ahead of the Internet of Things revolution and join Akvelon expert and IoT industry leader, Sergey Grebnov, in his session at @ThingsExpo, for an educational dive into the world of managing your home, workplace and all the devices they contain with the power of machine-based AI and intelligent Bot services for a completely streamlined experience.
Because IoT devices are deployed in mission-critical environments more than ever before, it’s increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn’t useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning techn...
SYS-CON Events announced today that GrapeUp, the leading provider of rapid product development at the speed of business, will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place October 31-November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Grape Up is a software company, specialized in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market acr...
SYS-CON Events announced today that Datera, that offers a radically new data management architecture, has been named "Exhibitor" of SYS-CON's 21st International Cloud Expo ®, which will take place on Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Datera is transforming the traditional datacenter model through modern cloud simplicity. The technology industry is at another major inflection point. The rise of mobile, the Internet of Things, data storage and Big...
In his opening keynote at 20th Cloud Expo, Michael Maximilien, Research Scientist, Architect, and Engineer at IBM, discussed the full potential of the cloud and social data requires artificial intelligence. By mixing Cloud Foundry and the rich set of Watson services, IBM's Bluemix is the best cloud operating system for enterprises today, providing rapid development and deployment of applications that can take advantage of the rich catalog of Watson services to help drive insights from the vast t...