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Big Data and Analytics – An IDC Four Pillar Research Area

IDC's most recent worldwide Big Data technology and services market forecast shows that the worldwide Big Data technology and services market will grow at a 31.7% compound annual growth rate (CAGR) – about seven times the rate of the overall information and communication technology (ICT) market – with revenues reaching $23.8 billion in 2016. The Big Data market is expanding rapidly as large IT companies and startups vie for customers and market share, providing technology buyers with more opportunities to use Big Data technology to improve operational efficiency and to drive innovation. Additionally, major IT vendors are increasingly offering both database solutions and configurations supporting Big Data by evolving their own products as well as by acquisition.

Big Data for Government: Better Mission Outcomes by Unlocking the Hidden Value of Information
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Japan Datacenter Network Infrastructure Market Analysis 2013
May-13

Worldwide Wireless Data Telecom Spending Forecast (May 17, 2013)
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Western Europe Mobile Business Voice and Data Forecast Update, 1H13
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Big Data in Europe in 2013: Hadoop Starts to Emerge
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Worldwide Datacenter Census and Construction 2013–2017 Forecast: Datacenters and the New Physics of IT
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Three Essential Priorities for Datacenter Management
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Japan Datacenter Facilities Market to Expand; Cooling and Uninterruptible Power Supply Systems Total 63.4 Billion Yen in 2012, Numerous New Large-Scale Datacenters Coming Online, According to IDC
May-13

Qiagen Acquires Ingenuity Systems for Big Data Bioinformatics
May-13

Infor's Diverse Product Portfolio Comes Together Under Common Standards for User Experience, Cloud, Mobility, Social Collaboration, Big Data, and Integration
May-13

EMC Launches Service Assurance Suite to Integrate and Simplify Data Center Management Operations
May-13

CA Technologies Refocuses Its Product Strategies Around DevOps, SaaS, Mobility, and Big Data
May-13

Japan Datacenter Services Market Trends 2013
May-13

Dimension Data: A Network-Centric View for Cloud Professional Services
May-13

Big Data: Danish End Users Driven By Curiosity; Vendors Need to Focus on Simplicity
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IDC Finds Transformational Changes in the Australian Education Sector from Cloud-based Apps Driving Spending in Mobility, Social and Big Data
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European Datacenter Life-Cycle Services 2012 Market and 2013–2017 Forecast and Analysis
Apr-13

IDC's Integrated Infrastructure & Platform Tracker Provides a Critical and Timely View Into the Rapidly Changing Datacenter Infrastructure Market
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Symantec's Availability, Replication, and Data Protection Software to Get Closer in Next-Gen Business Continuity Platform
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Verizon Releases 2013 Data Breach Investigations Report
Apr-13

Big Data, Analytics, and Cloud Drive Enterprise Software Growth in 2012, According to IDC
Apr-13

LSI Introduces SDN-Enabled ARM-Based Communications Processor for Enterprise and Datacenter Networks
Apr-13

Big Data Drives Big Demand for Storage, IDC Says
Apr-13

IDC's New Worldwide Business Analytics Services Forecast Shows Estimated Spending Will Reach $70.8 Billion by 2016
Apr-13

IBM Introduces PureData System for Hadoop: A Scale-Up Form of Big Data Infrastructure
Apr-13

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Primary Analyst Team


Henry Morris Senior Vice President, Worldwide Software and Services Research
Ashish Nadkarni Research Director, Storage Systems
Dan Vesset Program Vice President, Business Analytics

Carl Olofson Research Vice President, Application Development and Deployment
Steve Conway Research Vice President, High Performance Computing 		David Schubmehl Research Manager

Global IDC Big Data/Analytics Research Analyst List

Adelaide O'Brien Research Director, Smart Government Strategies Alejandro Florean Research and Consulting Director Enterprise Solutions Ali Zaidi Senior Research Analyst, IT Consulting and Systems Integration
Alys Woodward Research Director Carla Arend Program Director, European Software Cesar Longa Program Manager
Craig Stires Research Director, Big Data and Analytics Cynthia Burghard Research Director, Accountable Care Organizations Daniel-Zoe Jimenez Program Manager, Big Data and Analytics & Enterprise Applications
Dave Pearson Research Manager, Storage & Networking Deb Osswald Research Vice President of Next-Generation Networks (NGN) Operations Donna Taylor Research Director, European Storage
Greg Girard Program Director, Merchandise Strategies Jean Bozman Research Vice President, Enterprise Servers Jill Feblowitz Vice President, Utilities and Oil and Gas
Kimberly Knickle Practice Director, Emerging Agenda; Sustainability; AOVC Laura Dubois Program Vice President, Storage Marianne Kolding Vice President, European Services
Mary Wardley Vice President, Enterprise Applications and CRM Software Matt Eastwood Group Vice President and General Manager, Enterprise Platforms Maureen Fleming Program Vice President, Business Process Management and Middleware
Mike Versace Research Director Melissa Webster Program Vice President, Content and Digital Media Technologies Mukesh Dialani Research Director, BPO and Engineering Services
Nigel Wallis Research Director, Enterprise Software & Application Solutions Pavel Roland Research Manager, Systems & Infrastructure Solutions, IDC CEMA Philip Carter Associate Vice President, IDC European Software
Ranjit Rajan Research Director, Software Richard Villars Vice President, Datacenter & Cloud Rob Brothers Program Director, Software and Hardware Support Services
Rohit Mehra Vice President, Network Infrastructure Simon Ellis Practice Director, Supply Chain Strategies; BOVC Sharon Tan Research Manager, Application Tools Software Research
Shimpei Asano Research Analyst, Software & Security, IDC Japan Takashi Manabe Group Manager, Software & Security Thomas Vavra Research Director, IDC CEMA
Vidhika Sehgal Research Manager, IT Services Vladimir Kroa Research Director, IT and Business Services and Solutions Yuko Tominaga Senior Market Analyst, Software & Security

IDC Directions Conference
March 2013 – Santa Clara, CA and Boston, MA

IDC Predictions
Nov 2012 – Feb 2013

  • Big Data/Analytics Tweets
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IDC defines Big Data technologies as a new generation of technologies and architectures designed to extract value economically from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis. This encompasses hardware and software that integrates, organizes, manages, analyzes, and presents data that is characterized by the "four Vs": Volume, Variety, Velocity and Value.

Analysis of the Big Data market by IDC's global analyst team covers the technologies, integration strategies, use cases, and go-to-market strategies of vendors in this arena and provides insight into the evolution of these technologies and application of Big Data technologies for economic gain.


Related Services

IDC services research around Big Data shows that BPO vendors find themselves in a favorable position to assist their clients' transformation efforts as enterprises face new sources of competition in this global environment and try to stay competitive by keeping a close check on business performance metrics.

Related Services

At the foundation of the Big Data stack is the infrastructure. The use of industry standard servers, networks, storage, hypervisors, and clustering software has been a major driver of the value component of Big Data. For storage, an evolving trend toward the use of object-enabled, content-addressable, and/or scale-out file systems is becoming the norm for Big Data infrastructures.

From a compute perspective, most data-intensive jobs can be partitioned and can be run efficiently on standard clusters with memories that are physically and logically distributed. A smaller number of problems that are less uniform and more communications dependent.


Related Services

The data organization and management layer of the Big Data technology stack refers to software that processes and prepares all types of structured and unstructured data for analysis. This layer extracts, cleanses, normalizes, tags, and integrates data. IDC's use of the terms data organization and management are intentional and highlight the fact that the technology options in this layer of the stack include not just databases.

These technologies include relational databases, NoSQL databases, key value stores, text analytics, ontologies, categorizers, schema extractors, search indexes, parallel file systems, complex event processing engines, graph databases, and other technologies that organize and manage data at rest and in flight.


Related Services

IDC broadly segments Big Data analysis and discovery into software that supports offline, ad hoc, discovery, and deep analytics and software that supports dynamic, real-time analysis and automated, rules-based transactional decision making. Big Data analytics and discovery tools can also be segmented by the type of data being analyzed.

Another dimension that identifies specific analysis and discovery software is the complexity of analysis. There are tools for highly complex descriptive and predictive analysis and tools that simply help with basic aggregation and access to information. Newer tools such as Hadoop, MapReduce, and Dryad (along with methodologies including graph analysis) are proving adept at expediting searches through the large, irregular data sets that characterize many Big Data problems.


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