Big data to drive global IT spending
Big data will account for $28 billion of IT spending globally this year, which will increase to $34 billion in 2013, according to market research firm Gartner.
Gartner noted that most of the current expenditure will be in the adoption of traditional tools to address issues related to the big data phenomenon. These include machine data, social data, and the large variety and velocity of data. However, only $4.3 billion will be focused on new big data functionalities.
The research firm noted that social network and content analysis have tremendous impact on big data budgets and projected to account for 45 percent of new IT spending every year. on the other hand, application infrastructure and middleware is expected to account for 10 percent of yearly spend.
“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,” said Mark Beyer, Research VP at Gartner.
According to Meyer, in 2011, big data formed a new driver in almost every category of IT spending. However, through 2018, its requirements will gradually evolve from differentiation to ‘table stakes’ in information management practices and technology. “By 2020, big data features and functionality will be non-differentiating and routinely expected from traditional enterprise vendors and part of their product offerings,” he said.
Gartner expects leading organizations to begin using their big data knowledge in “an almost embedded form in their architectures and practices” by the end of 2015. Likewise, by 2018, the distinction that new big data products had over traditional offerings will decrease. In fact, Beyer pointed out that skills, tools and practices acquired by leading companies over the years to handle big data would eventually become flexible.
“As big data’s effects are pervasive, it will evolve to become a standardized requirement in leading information architectural practices, forcing older practices and technologies into early obsolescence,” said Meyer. He explained that this means big data will end up as “just data” once again by 2020, and approaches toward architecture, infrastructure, hardware, and software that do not adapt to this “new normal” will be retired, Beyer said. He however cautioned that organizations resisting this change will suffer severe economic impacts.
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