Enterprise IT vendor IBM is leading the Big Data market in 2013, ahead of HP, Dell, SAP, Teradata, Oracle, etc.
Top 10 Big Data vendors in 2013 include IBM (with an annual revenue of $1,368 million), HP ($869 million), Dell ($652 million), SAP ($545 million), Teradata ($518 million), Oracle ($491 million), SAS Institute ($480 million), Palantir ($418 million), Accenture ($415 million) and PwC ($312 million),  according to Wikibon’s Big Data Vendor Revenue and Market Forecast report.
The report said the Big Data market as measured by vendor revenue derived from sales of related hardware, software and services rose 58 percent to $18.6 billion in 2013. Out of this, Big Data-related services revenue made up 40 percent of the total market, followed by hardware 38 percent and software 22 percent.
Big Data growth drivers
Both mega-IT-vendors and pure-play Big Data vendors took steps to better articulate their product and services roadmaps and larger visions for Big Data in the enterprise, creating greater confidence from enterprise buyers.
The products and services related to Big Data continued to mature from a features perspective in 2013, further spurring adoption. These include the advent of YARN, which lays the foundation for Hadoop as a true multi-application framework, and the continued evolution of cloud-based Big Data services for large-scale analytics and application development.
Big Data technologies also took important steps towards greater enterprise-grade capabilities in 2013, critical for mass enterprise adoption. These steps included better privacy, security and governance capabilities, as well as improved backup and recovery and high-availability for Hadoop specifically.
Big Data challenges
The report noted that lack of best practices for integrating Big Data analytics into existing business processes and workflows as one of the challenges.
There are concerns over security and data privacy in the wake of numerous high-profile data breaches and the ongoing NSA scandal.
A lack of polished Big Data applications designed to solve specific business problems is yet another big challenge.
IBM in Big Data market
IBM, which released several Big Data technology innovations in 2013, differentiated itself to help meet growing client demand, including PureData System for Hadoop, BLU Acceleration, BigInsights and the Watson Developer Cloud. IBM also acquired SoftLayer, which will play an important role in its strategy of delivering Big Data from the cloud.
IBM’s BigInsights and BLU Acceleration software were also cited for vendor achievements in better integration of big data frameworks with data management infrastructure. These solutions enable enterprises of all sizes to cost effectively manage and analyze the volume, variety and velocity of big data that businesses create every day.
IBM said C-suite executives including CMOs, CFOs and CHROs across industries are now using IBM analytics to deliver better business results.
More than 400 IBM mathematicians and 6,000 industry solution business partners are helping clients use big data to transform their organizations.
IBM has made a multi-billion dollar investment in big data and analytics — $24 billion since 2005 thru both acquisitions and R&D — to extend its leadership position in the strategic market for business analytics.
Baburajan K
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