Big Data spending to hit $34 billion in 2013
Gartner predicts investment in big data and related solutions to reach $34 billion, from $28 billion this year
Gartner is predicting that ‘big data’ will drive $28 billion in IT spending this year, growing to $34 billion in 2013.
The analyst company says that most current spending on big data goes on adapting traditional solutions to meet big data requirements, with just $4.3 billion spent on software that directly provides big data functionality.
Big data currently has the most significant impact in social network analysis and content analytics with 45% of new spending each year. In traditional IT supplier markets, application infrastructure and middleware is most affected (10% of new spending each year is influenced by big data in some way) when compared with storage software, database management system, data integration/quality, business intelligence or supply chain management (SCM).
“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 vice president at Gartner. “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. 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 end of 2015, Gartner expects big data experience to be more embedded in organisation’s architecture and practices, while from 2018, big data solutions will offering increasingly less of a distinct advantage over traditional solutions, which will have incorporated new features and functions to support greater agility when addressing volume, variety and velocity.
“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,” said Beyer. “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.”