Big Data to drive $28bn of IT spending: Gartner

Business Intelligence

by CBR Staff Writer| 18 October 2012

The figure is expected to increase to $34bn by 2013

The rise in businesses dealing with more information will see Big Bata contribute $28bn to global IT spending in 2012, according to a new report from Gartner.

Gartner revealed that the figure is expected to increase to $34bn by 2013, with 10% of new spending each year swayed by investment in big data, when compared to storage software, database management system, data integration/quality, business intelligence or supply chain management (SCM).

Currently, most Big Data spending is used on deploying traditional solutions to the Big Data demands, including machine data, social data, widely varied data and unpredictable velocity.

The research firm also revealed that the demands for new Big Data functionality in 2012 will directly drive only about $4.3bn of sales of software.

Gartner research vice president Mark Beyer said despite the hype, big data is not a distinct, stand-alone market, it but represents an industry-wide market force which must be addressed in products, practices and solution delivery.

"In 2011, big data formed a new driver in almost every category of IT spending. However, through 2018, Big Data requirements will gradually evolve from differentiation to 'table stakes' in information management practices and technology," Beyer said.

"By 2020, big data features and functionality will be non-differentiating and routinely expected from traditional enterprise vendors and part of their product offerings."

By the end of 2015, leading organisations are expected to deploy big data experience in an embedded form in their architectures and practices and by the next three years Big Data solutions are expected to offer ever more less of a different advantage when compared to traditional solutions.

"Because big data's effects are pervasive, big data will evolve to become a standardised requirement in leading information architectural practices, forcing older practices and technology into early obsolescence," Beyer said. "As a result, big data will once again become 'just data' by 2020 and architectural approaches, infrastructure and hardware/software that does not adapt to this 'new normal' will be retired. Organisations resisting this change will suffer severe economic impacts."

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