Analysis of Trends and Profitability Growth Opportunities of the VTuber Industry Using Exploratory Data Analysis (EDA) Methodology

Ananda Aulia; Muhammad Iqbal

Authors

Ananda Aulia Universitas Pembangunan Panca Budi
Muhammad Iqbal Universitas Pembangunan Panca Budi

Keywords:

Data Mining,, VTuber , Super Chat, EDA

Abstract

The VTuber industry has experienced significant growth in recent years, with VTubers as virtual influencers engaging with global audiences through live streaming and content creation. However, the financial performance of this industry remains underexplored. By applying EDA, this research investigates the key factors influencing the profitability of VTubers, including audience engagement, monetization strategies, and content diversity. The analysis is conducted using data collected from various VTuber channels, including viewer statistics, revenue streams (such as Super Chats, merchandise, and sponsorships), and social media metrics.

The EDA methodology proves to be effective in providing valuable insights into patterns and relationships between variables affecting profitability in this industry. Through data visualization and descriptive statistical analysis, EDA identifies factors contributing to VTuber performance, such as audience interaction levels and monetization success. The findings demonstrate that EDA offers a clear overview of trends and growth opportunities within the VTuber industry, helping content creators, investors, and industry stakeholders make more strategic, data-driven decisions.

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