Big data technology will take longer to reach mainstream adoption than previously thought, according to analyst company Gartner’s latest Hype Cycle for emerging technologies… In 2012, Gartner estimated that big data would take between two and five years before the technology reached that ‘plateau of productivity’. But in the 2013 Hype Cycle, published today, Gartner has changed its estimate for the time it will take big data to reach that plateau to between five and ten years. There are two trends driving big data down into the ‘trough of disillusionment’, Gartner said. The first is that “tools and techniques are being adopted ahead of learned expertise and any maturity/ optimization, which is creating confusion. The second is “the inability to spot big data opportunities by the business, formulate the right questions and execute on the insights”… The overall theme of the Hype Cycle this year was technologies that are redefining the relationship between man and machine.
See here for the 2012 version of Gartner’s Hype cycle for emerging technologies. When it released its first Hype Cycle for Big Data last year, Gartner was a bit more bullish on the prospects for big data mainstreaming, as reported by Beth Schultz: “Unlike other Hype Cycles, which are published year after year, we believe it is possible that within two to three years, the ability to address new sources and types, and increasing volumes of information will be ‘table stakes’ — part of the cost of entry of playing in the global economy,” the report says. “When the hype goes, so will the Hype Cycle.”