Data Visualization of Investment and Valuation in Global Startup Companies

  • Akhmad Bakhrun Politeknik Negeri Bandung, Bandung, Indonesia
  • Joy Philip Nehemia Manjorang Politeknik Negeri Bandung, Bandung, Indonesia
  • Muhammad Danish Al Ghifary Politeknik Negeri Bandung, Bandung, Indonesia
  • Daffa Alya Radhwa Taryana Politeknik Negeri Bandung, Bandung, Indonesia
Keywords: Investment, Valuation, Startup, Data Visualization, Power BI, Decision Making

Abstract

This study aims to analyze and visualize trends in funding, valuation, and investor activities across global startups. Using a descriptive analysis with a quantitative approach, the research involves data acquisition, processing, visualization, and interpretation of data. Power BI is utilized as a data visualization tool, creating an interactive dashboard to facilitate exploration and identification of funding and investor activities. The study leverages a Kaggle dataset that includes 5,000 startups from ten different industries in different nations between 2000 and 2023. The study finds that HealthTech startups receive the highest total investment of $1.64 trillion. This investment came from 17,682 investors with a total of 685 startups or around 13.5% of the total existing startups. A correlation coefficient of 0.88 indicates a strong relationship between valuation and investment, suggesting that investors prefer high-valuation industries. In other words, industrial sectors with high valuations attract investors to invest. In addition, Australia is a major global investment destination with the largest startup growth and number of investors. This research shows the importance of utilizing data visualization to support understanding and strategic decision-making in the startup ecosystem at the global level.

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Published
2025-12-31
How to Cite
Bakhrun, A., Manjorang, J. P. N., Al Ghifary, M., & Taryana, D. A. R. (2025). Data Visualization of Investment and Valuation in Global Startup Companies. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 8(3), 14915-14929. https://doi.org/10.31538/iijse.v8i3.7747