Gartner Hype Cycle Technology Forecasting (1995-Present)
Gartner introduced the Hype Cycle framework in 1995 to predict technology adoption through five phases: innovation trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity. The framework became widely referenced in enterprise technology but faced substantial criticism for lack of scientific rigor. Research analyzing Gartner Hype Cycles since 2000 found that few technologies actually travel through an identifiable hype cycle, and most important technologies adopted since 2000 weren't identified early in their adoption cycles. Industry analyst Duncan Stewart noted the cycle is a lousy predictor—some technologies like cloud computing and 4G wireless surpassed the hype, others like 3D printing followed the curve almost perfectly, but being at hype peak doesn't guarantee success or failure.
Hype Cycle became standard enterprise framework despite accuracy concerns.
Framework proved better at describing technology psychology than predicting outcomes; only one-fifth of hyped technologies followed expected adoption pattern.
Shows the difficulty of technology forecasting even with systematic frameworks—MIT Tech Review's 25-year track record faces similar challenges distinguishing hype from genuine breakthroughs.