Welcome!

News Feed Item

Research and Markets: Global SME Big Data Market 2014-2018 with HP, IBM, Oracle & Teradata Dominating

Research and Markets (http://www.researchandmarkets.com/research/wl52bk/global_sme_big) has announced the addition of the "Global SME Big Data Market 2014-2018" report to their offering.

The Global SME Big Data market will grow at a CAGR of 42.94 percent over the period 2013-2018.

Big data solutions include a wide range of hardware, software, and services required for processing and analyzing structured and unstructured data that is too big for traditional data processing tools to manage. These data are generated by various sources such as mobile devices, digital repositories, and enterprise applications and range in size from terabytes (10^12 bytes) to petabytes (10^15 bytes) and even exabytes (10^18 bytes). Due to the considerably large size of big data, it is difficult for SMEs to manage and analyze the data using existing traditional data processing tools. Big data solutions are being used for a wide range of applications such as conversation analysis in social networking websites, fraud management in the BFSI sector, and disease diagnosis in the Healthcare sector. Due to the increasing need for big data solutions, the Global SME Big Data market is expected to witness rapid growth during the forecast period.

Many large enterprise computing vendors frequently acquire companies to equip themselves with the latest big data technologies. Large enterprise software vendors also target pure-play big data vendors and small companies whose major customers are SMEs to expand their customer base and tap the huge potential in the SME segment. IBM acquired many analytics companies such as DemandTec Inc., Varicent Software, Tealeaf Technology Inc., Kenexa Corp., and Vivisimo Inc. in 2012. In 2013, it acquired several more big data analytic companies such as StoredIQ Inc., Star Analytics Inc., and The Now Factory.

In 2011, Hewlett-Packard acquired the major pure-play vendor Vertica for US$350 million and EMC acquired Greenplum Inc.

Also, Aster Data Systems Inc. was acquired by Teradata Corp. in 2011, Oracle Corp. acquired Datanomic Ltd., Endeca Technologies Inc., ClearTrail Technologies Pvt Ltd., and DataRaker Inc. Through acquisitions, large enterprise computing vendors are trying to enhance their capabilities to deliver a comprehensive big data solution.

According to the report, the need to improve business process efficiency and productivity is one of the factors driving the growth of the Global SME Big Data market. Big data solutions improve the efficiency of business processes and provide up-to-date information, and shorten the decision making process.

Further, the report states that one of the major challenges is the lack of awareness about the capability of big data technology. SMEs are often ignorant of the benefits of big data solutions and do not invest in them.

Key Vendors

  • Hewlett-Packard Co.
  • IBM Corp.
  • Oracle Corp.
  • Teradata Corp.

Other Prominent Vendors

  • Amazon Web Services, Inc.
  • Cloudera, Inc.
  • Couchbase Inc.
  • EMC Corp.
  • Google Inc.
  • Microsoft Corp.
  • SAP AG
  • Splunk Inc.

For more information visit http://www.researchandmarkets.com/research/wl52bk/global_sme_big

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.

Latest Stories
Technology vendors and analysts are eager to paint a rosy picture of how wonderful IoT is and why your deployment will be great with the use of their products and services. While it is easy to showcase successful IoT solutions, identifying IoT systems that missed the mark or failed can often provide more in the way of key lessons learned. In his session at @ThingsExpo, Peter Vanderminden, Principal Industry Analyst for IoT & Digital Supply Chain to Flatiron Strategies, will focus on how IoT depl...
Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization’s analytics. In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at Dell EMC, introduced a methodology for capturing, enriching and sharing data (and analytics) across the organization...
With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now ...
WebRTC is about the data channel as much as about video and audio conferencing. However, basically all commercial WebRTC applications have been built with a focus on audio and video. The handling of “data” has been limited to text chat and file download – all other data sharing seems to end with screensharing. What is holding back a more intensive use of peer-to-peer data? In her session at @ThingsExpo, Dr Silvia Pfeiffer, WebRTC Applications Team Lead at National ICT Australia, looked at differ...
"Splunk basically takes machine data and we make it usable, valuable and accessible for everyone. The way that plays in DevOps is - we need to make data-driven decisions to delivering applications," explained Andi Mann, Chief Technology Advocate at Splunk and @DevOpsSummit Conference Chair, in this SYS-CON.tv interview at @DevOpsSummit at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
"Logz.io is a log analytics platform. We offer the ELK stack, which is the most common log analytics platform in the world. We offer it as a cloud service," explained Tomer Levy, co-founder and CEO of Logz.io, in this SYS-CON.tv interview at DevOps Summit, held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, ...
In his session at @DevOpsSummit at 19th Cloud Expo, Robert Doyle, lead architect at eCube Systems, will examine the issues and need for an agile infrastructure and show the advantages of capturing developer knowledge in an exportable file for migration into production. He will introduce the use of NXTmonitor, a next-generation DevOps tool that captures application environments, dependencies and start/stop procedures in a portable configuration file with an easy-to-use GUI. In addition to captur...
"ReadyTalk is an audio and web video conferencing provider. We've really come to embrace WebRTC as the platform for our future of technology," explained Dan Cunningham, CTO of ReadyTalk, in this SYS-CON.tv interview at WebRTC Summit at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. We've seen this problem occur time and time again. In his session at Big Data Expo, Greg Bruno, Vice President of Engineering and co-founder of StackIQ...
One of the hottest areas in cloud right now is DRaaS and related offerings. In his session at 16th Cloud Expo, Dale Levesque, Disaster Recovery Product Manager with Windstream's Cloud and Data Center Marketing team, will discuss the benefits of the cloud model, which far outweigh the traditional approach, and how enterprises need to ensure that their needs are properly being met.
Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and Containers together help companies to achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of D...
In 2014, Amazon announced a new form of compute called Lambda. We didn't know it at the time, but this represented a fundamental shift in what we expect from cloud computing. Now, all of the major cloud computing vendors want to take part in this disruptive technology. In his session at 20th Cloud Expo, John Jelinek IV, a web developer at Linux Academy, will discuss why major players like AWS, Microsoft Azure, IBM Bluemix, and Google Cloud Platform are all trying to sidestep VMs and containers...
IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not app...