Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies

W. Choi; Y. Geum

doi:10.1109/IEEM63636.2025.11357647

Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies

W. Choi
, Y. Geum

Dept. of Industrial Engineering

Seoul National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The Gartner hype cycle is widely used to understand emerging technologies and guide strategic planning. However, as it is based on expert opinion, it lacks a quantitative foundation. This study proposes a method for quantitatively analyzing the technologies presented in the hype cycle from various perspectives of technological advancement, market, and expectation. Accordingly, this study introduces graph pattern metrics designed for graph analytics, along with a clustering approach that classifies graph structures and behaviors based on these metrics. By classifying technologies based on these factors, the study aims to validate the hype cycle's reliability and enhance its usefulness in technology strategy development.

Original language	English
Title of host publication	IEEM 2025 - IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	484-488
Number of pages	5
ISBN (Electronic)	9798331525217
DOIs	https://doi.org/10.1109/IEEM63636.2025.11357647
State	Published - 2025
Event	2025 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2025 - Melbourne, Australia Duration: 7 Dec 2025 → 10 Dec 2025

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2025 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2025
Country/Territory	Australia
City	Melbourne
Period	7/12/25 → 10/12/25

Keywords

Emerging Technology
Gartner Hype Cycle
Technology Assessment
Technology Life Cycle

Access to Document

10.1109/IEEM63636.2025.11357647

Cite this

Choi, W., & Geum, Y. (2025). Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies. In IEEM 2025 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 484-488). (IEEE International Conference on Industrial Engineering and Engineering Management). IEEE Computer Society. https://doi.org/10.1109/IEEM63636.2025.11357647

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title = "Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies",

abstract = "The Gartner hype cycle is widely used to understand emerging technologies and guide strategic planning. However, as it is based on expert opinion, it lacks a quantitative foundation. This study proposes a method for quantitatively analyzing the technologies presented in the hype cycle from various perspectives of technological advancement, market, and expectation. Accordingly, this study introduces graph pattern metrics designed for graph analytics, along with a clustering approach that classifies graph structures and behaviors based on these metrics. By classifying technologies based on these factors, the study aims to validate the hype cycle's reliability and enhance its usefulness in technology strategy development.",

keywords = "Emerging Technology, Gartner Hype Cycle, Technology Assessment, Technology Life Cycle",

author = "W. Choi and Y. Geum",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2025 ; Conference date: 07-12-2025 Through 10-12-2025",

year = "2025",

doi = "10.1109/IEEM63636.2025.11357647",

language = "English",

series = "IEEE International Conference on Industrial Engineering and Engineering Management",

publisher = "IEEE Computer Society",

pages = "484--488",

booktitle = "IEEM 2025 - IEEE International Conference on Industrial Engineering and Engineering Management",

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Choi, W & Geum, Y 2025, Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies. in IEEM 2025 - IEEE International Conference on Industrial Engineering and Engineering Management. IEEE International Conference on Industrial Engineering and Engineering Management, IEEE Computer Society, pp. 484-488, 2025 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2025, Melbourne, Australia, 7/12/25. https://doi.org/10.1109/IEEM63636.2025.11357647

Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies. / Choi, W.; Geum, Y.
IEEM 2025 - IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2025. p. 484-488 (IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The Gartner hype cycle is widely used to understand emerging technologies and guide strategic planning. However, as it is based on expert opinion, it lacks a quantitative foundation. This study proposes a method for quantitatively analyzing the technologies presented in the hype cycle from various perspectives of technological advancement, market, and expectation. Accordingly, this study introduces graph pattern metrics designed for graph analytics, along with a clustering approach that classifies graph structures and behaviors based on these metrics. By classifying technologies based on these factors, the study aims to validate the hype cycle's reliability and enhance its usefulness in technology strategy development.

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PB - IEEE Computer Society

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Quantifying the Hype Cycle: Data-Driven Mapping for Identifying Emerging Technologies

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Keywords

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