According to a study by Gartner, technology investment in big data infrastructure and management is projected to drive $28 billion of worldwide IT spending in 2012. The figure is expected to reach $34 billion by 2013, with 10 percent of new spending each year.
Most think of current expenditure is used to adapt the traditional solutions to work with big data management – data from sensors, social networks, multimedia information, etc. The biggest impact of big data today is in the areas of social network analysis and content, which account for 45% of all annual spending. Traditional markets for IT infrastructure and application middleware are the most affected by the phenomenon of big data, representing 10% of new spending each year, compared with storage software, system management database, integration and data quality, business intelligence (BI) and supply chain management (SCM).
“Despite the hype, big data is not a distinct, stand-alone market, but it represents an industry wide market force which must be addressed in products, practices and solution delivery,” Mark Beyer, Gartner research vice president, said in a statement. “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.”
From 2015, Gartner expects that organizations can able to integrate the experiences related to big data into their procedures and their architectures. Companies have realized the potential to store and process large volumes of data, which can help improve their business. For this reason, investment and IT spending allocated to this field is increasing and big data is one of the sectors that is moving the money.
“Because big data’s effects are pervasive, big data will evolve to become a standardized requirement in leading information architectural practices, forcing older practices and technology into early obsolescence,” Beyer continued. “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. Organizations resisting this change will suffer severe economic impacts.”
It seems that companies are going to spend a significant portion of its budget to big data, with special emphasis on the adaptation of traditional solutions to the demands of large amounts of data. In fact, the solutions will update the largest expense, making only 4,300 million dollars all spending generated is intended for software sales, primarily driven by the addition of new features.