Gartner Magic Quadrant

Gartner Magic Quadrant
Gartner Magic Quadrant

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Gartner Magic Quadrant

Gideon Garner discovered Gartner magic quadrant at a research conventions in Stamford, Connecticut. Gideon was a famous for “Stalking Horses” and believed in experiments that promoted creativity. In one of the conventions, an analyst demonstrated a novel technology, a time when Gideon stood up and drew a quadrant containing two axes. He did not intend the quadrant to be published. In the 1990s, the quadrant officially evolved and currently, there are some Magic Quadrants for industries such as defined Firewalls (Dayley et al., 2014).

Nevertheless, Gartner magic quadrant is a widely debated device for selecting products in IT sector. Critics allege that it is not only simple and subjective but also blind spots. Regardless, of these criticisms, vendors, as well as IT managers, continue to support it; vendors support Gartner magic quadrant once they are chosen managers while IT leaders when they use it in short-listing vendors.

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Gartner magic quadrant is useful such that it has two axes; horizontal and vertical. The horizontal part is a depiction of product attributes and innovative improvements persuading vendors to respond to the change while keeping up with the speed. On the other hand, the vertical part is the capacity to implement, which is determined by the number, revenue and quality of distributors, the number of workers and their allocation to support, marketing, and other departments.

Much as Gartner Magic Quadrant is a useful tool, it should be based on the total understanding of research as well as the analysts so as to get full benefits. In addition, analysts can use this tool to promote a given agenda. Analysts are not simply researchers; they play the role of seeing the direction of a sector and bring it to the right course that focuses on the requirements of Gartner customer base or simply large entities.


Dayley, A. Landers, G, Kros, A & Zhang, J. (2014). Magic Quadrant for Enterprise Information Archiving

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