The Metaverse Industry Ecosystem: A Keyword and Startup Network Analysis

This study examines the ecosystem of global metaverse startups using Crunchbase data. Data on 1,873 metaverse-related startups were collected from Crunchbase, and keywords were extracted by applying the fine-tuned T5 Transformer to the startups' full descriptions. These keywords were then used to construct two distinct networks: a keyword network and a startup network. Both networks were clustered using the Paris algorithm to identify the products/services and industrial ecosystem of Metaverse startups. The 10 clusters of the keyword network were classified into three categories: metaverse application services, essential technology, and additional supporting services. This categorization provides insights into the current focus areas and potential future directions of product and service development within the metaverse industry. The 12 clusters of the startup network were evaluated based on the scale of funding amount from industries and major companies to identify the investment ecosystem of the metaverse industry. The findings obtained from both network analyses can serve as directions to formulate robust investment and technology strategies in the rapidly evolving metaverse industry.

Authors

Publication Details

Journal
Journal of Korean Institute of Industrial Engineers
Published
2024-12-15
DOI
https://doi.org/10.7232/jkiie.2024.50.6.448
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

The Metaverse Industry Ecosystem: A Keyword and Startup Network Analysis

Hakyeon Lee, Choonsam Beack, Myeongsang Yoo
Journal of Korean Institute of Industrial Engineers
Virtual Reality Applications and Impacts
article

The Metaverse Industry Ecosystem: A Keyword and Startup Network Analysis

Hakyeon Lee, Choonsam Beack, Myeongsang Yoo
article en

Abstract

This study examines the ecosystem of global metaverse startups using Crunchbase data. Data on 1,873 metaverse-related startups were collected from Crunchbase, and keywords were extracted by applying the fine-tuned T5 Transformer to the startups' full descriptions. These keywords were then used to construct two distinct networks: a keyword network and a startup network. Both networks were clustered using the Paris algorithm to identify the products/services and industrial ecosystem of Metaverse startups. The 10 clusters of the keyword network were classified into three categories: metaverse application services, essential technology, and additional supporting services. This categorization provides insights into the current focus areas and potential future directions of product and service development within the metaverse industry. The 12 clusters of the startup network were evaluated based on the scale of funding amount from industries and major companies to identify the investment ecosystem of the metaverse industry. The findings obtained from both network analyses can serve as directions to formulate robust investment and technology strategies in the rapidly evolving metaverse industry.

Journal of Korean Institute of Industrial EngineersVol. 50(6)
National Research Foundation of Korea
Openalex Percentile: Top 75%
Virtual Reality Applications and Impacts
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