Hype Cycle
A technology maturity analysis framework introduced by Gartner that describes the progression of a technology from a peak of inflated expectations through a trough of disillusionment to a plateau of productivity.
Core Facts
The Gartner Hype Cycle was first published by Gartner in 1995 and divides technology adoption into five stages: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity.
Gartner summarizes the pattern of new technology development as the "Hype Cycle" (技术成熟度曲线).
The Gartner Hype Cycle describes the pattern by which technology expectations pass through a peak of inflated expectations, a trough of disillusionment, a slope of enlightenment, and finally a plateau of productivity.
Timeline (last 90 days)
The concept of the Hype Cycle was first proposed by consulting firm Gartner in 1995 to describe the evolutionary path of emerging technologies from inflated expectations to the trough of disillusionment and then to mature deployment.
The controversy surrounding the current AI wave is largely a disagreement about 'exactly which stage of the hype cycle we are in.'
Gartner summarizes the pattern of new technology development as the "Hype Cycle" (技术成熟度曲线).
All Facts (5)
The Gartner Hype Cycle was first published by Gartner in 1995 and divides technology adoption into five stages: Technology Trigger, Peak of Inflated Expectations, Trough of Disillusionment, Slope of Enlightenment, and Plateau of Productivity.
80%VerifiedGartner summarizes the pattern of new technology development as the "Hype Cycle" (技术成熟度曲线).
75%VerifiedThe Gartner Hype Cycle describes the pattern by which technology expectations pass through a peak of inflated expectations, a trough of disillusionment, a slope of enlightenment, and finally a plateau of productivity.
65%UnverifiedThe concept of the Hype Cycle was first proposed by consulting firm Gartner in 1995 to describe the evolutionary path of emerging technologies from inflated expectations to the trough of disillusionment and then to mature deployment.
50%UnverifiedThe controversy surrounding the current AI wave is largely a disagreement about 'exactly which stage of the hype cycle we are in.'
50%