In the Emerging Tech Impact Radar, the range estimates the distance (in years) that the technology, technique or trend is from crossing over from early adopter status to early majority adoption. This indicates that the technology is prepared for and progressing toward mass adoption. So at its core, range is an estimation of the rate at which successful customer implementations will accelerate. That acceleration is scored on a five-point scale with one being very distant (beyond eight years) and five being very near (within a year). Each of the five scoring points corresponds to a ring of the Emerging Tech Impact Radar graphic (see Figure 1). Those emerging technologies and trends with a score of one (beyond eight years) do not qualify for inclusion on the radar. When formulating scores for range, Gartner analysts consider many factors, including:
The volume of current successful implementations
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The rate of new successful implementations
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The number of implementations required to move from early adopter to early majority ■
The growth of the vendor community
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The growth in venture investment
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Mass in the Emerging Tech Impact Radar estimates how substantial an impact the technology or trend will have on existing products and markets. Mass is also scored on a five-point scale — with one being very low impact and five being very high impact. Emerging technologies and trends with a score of one are not included in the radar. When evaluating mass, Gartner analysts examine the breadth of impact across existing products (specifically, sectors affected) and the extent of the disruption to existing product capabilities. It should be noted that an emerging technology or trend may be expressed in different positions on different Emerging Tech Impact Radars. This occurs when the maturity of emerging technologies and trends varies based on the scope of radar coverage. Recommended by the Authors Some documents may not be available as part of your current Gartner subscription. Top Trends for Tech Providers for 2022 Emerging Technologies: Emergence Cycle for Artificial Intelligence Emerging Technologies: Valuing AI and Smart Things Using the Markov Decision Process
Gartner, Inc. | G00786204
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