Data-driven investment in 2023: venture capital dynamics

Alessio Faccia; Satinka Ma; Corlise Liesl Le Roux; Darina Saxunová

doi:10.1049/icp.2025.2031

Data-driven investment in 2023: venture capital dynamics

Alessio Faccia
, Satinka Ma^*
, Corlise Liesl Le Roux
, Darina Saxunová

^*Corresponding author for this work

Computer Science

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

Abstract

This paper explores venture capital dynamics in 2023, focusing on Artificial Intelligence (AI), Fintech, and Cybersecurity—industries heavily influenced by big data and computing technologies. Titled “Data-Driven Investment in 2023: Venture Capital Dynamics”, the study examines how efficiently these sectors convert funding into market value, adjusting for industry-specific risks using beta values. Key findings indicate that sectors like Cybersecurity and Enterprise Software excel in translating venture capital into valuation, while AI experiences higher volatility despite substantial funding. It incorporates risk-adjusted performance to highlight which industries best perform to leverage data-driven investments for sustainable growth. This study provides a valuable framework for investors, balancing valuation potential with market risk, and offers insights for data-driven industries.

Original language	English
Title of host publication	10th International Conference on Big Data and Computing (ICBDC 2025)
Publisher	Institution of Engineering and Technology (IET)
Pages	2-7
Number of pages	6
ISBN (Electronic)	9781837246854
DOIs	https://doi.org/10.1049/icp.2025.2031
Publication status	Published - 2 Jun 2025
Event	10th International Conference on Big Data and Computing (ICBDC 2025) - Hybrid Conference, Singapore, Hybrid, Singapore, Singapore Duration: 16 May 2025 → 18 Jun 2025

Publication series

Name	IET Conference Proceedings
Publisher	Institution of Engineering and Technology (IET)
Number	8
Volume	2025
ISSN (Electronic)	2732-4494

Conference

Conference	10th International Conference on Big Data and Computing (ICBDC 2025)
Country/Territory	Singapore
City	Hybrid, Singapore
Period	16/05/25 → 18/06/25

Bibliographical note

Publisher Copyright:
© The Institution of Engineering & Technology 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Access to Document

10.1049/icp.2025.2031Licence: None: All rights reserved

Cite this

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title = "Data-driven investment in 2023: venture capital dynamics",

abstract = "This paper explores venture capital dynamics in 2023, focusing on Artificial Intelligence (AI), Fintech, and Cybersecurity—industries heavily influenced by big data and computing technologies. Titled “Data-Driven Investment in 2023: Venture Capital Dynamics”, the study examines how efficiently these sectors convert funding into market value, adjusting for industry-specific risks using beta values. Key findings indicate that sectors like Cybersecurity and Enterprise Software excel in translating venture capital into valuation, while AI experiences higher volatility despite substantial funding. It incorporates risk-adjusted performance to highlight which industries best perform to leverage data-driven investments for sustainable growth. This study provides a valuable framework for investors, balancing valuation potential with market risk, and offers insights for data-driven industries.",

author = "Alessio Faccia and Satinka Ma and Roux, \{Corlise Liesl Le\} and Darina Saxunov{\'a}",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2025.; 10th International Conference on Big Data and Computing (ICBDC 2025) ; Conference date: 16-05-2025 Through 18-06-2025",

year = "2025",

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doi = "10.1049/icp.2025.2031",

language = "English",

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publisher = "Institution of Engineering and Technology (IET)",

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Faccia, A, Ma, S, Roux, CLL & Saxunová, D 2025, Data-driven investment in 2023: venture capital dynamics. in 10th International Conference on Big Data and Computing (ICBDC 2025)., 11142975, IET Conference Proceedings, no. 8, vol. 2025, Institution of Engineering and Technology (IET), pp. 2-7, 10th International Conference on Big Data and Computing (ICBDC 2025), Hybrid, Singapore, Singapore, 16/05/25. https://doi.org/10.1049/icp.2025.2031

Data-driven investment in 2023: venture capital dynamics. / Faccia, Alessio; Ma, Satinka; Roux, Corlise Liesl Le et al.
10th International Conference on Big Data and Computing (ICBDC 2025). Institution of Engineering and Technology (IET), 2025. p. 2-7 11142975 (IET Conference Proceedings; Vol. 2025, No. 8).

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

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N2 - This paper explores venture capital dynamics in 2023, focusing on Artificial Intelligence (AI), Fintech, and Cybersecurity—industries heavily influenced by big data and computing technologies. Titled “Data-Driven Investment in 2023: Venture Capital Dynamics”, the study examines how efficiently these sectors convert funding into market value, adjusting for industry-specific risks using beta values. Key findings indicate that sectors like Cybersecurity and Enterprise Software excel in translating venture capital into valuation, while AI experiences higher volatility despite substantial funding. It incorporates risk-adjusted performance to highlight which industries best perform to leverage data-driven investments for sustainable growth. This study provides a valuable framework for investors, balancing valuation potential with market risk, and offers insights for data-driven industries.

AB - This paper explores venture capital dynamics in 2023, focusing on Artificial Intelligence (AI), Fintech, and Cybersecurity—industries heavily influenced by big data and computing technologies. Titled “Data-Driven Investment in 2023: Venture Capital Dynamics”, the study examines how efficiently these sectors convert funding into market value, adjusting for industry-specific risks using beta values. Key findings indicate that sectors like Cybersecurity and Enterprise Software excel in translating venture capital into valuation, while AI experiences higher volatility despite substantial funding. It incorporates risk-adjusted performance to highlight which industries best perform to leverage data-driven investments for sustainable growth. This study provides a valuable framework for investors, balancing valuation potential with market risk, and offers insights for data-driven industries.

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ER -

Data-driven investment in 2023: venture capital dynamics

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

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Cite this