Analysis on the Blockchain Venture Industry in the United States

DOI

10.2991/978-94-6463-064-0_41How to use a DOI?

Keywords

Start-ups; Venture Capital; Blockchain; Python; PyCharm

Abstract

This paper provides a first look at the newly emergence of start-up firms in the U.S. blockchain industry, by documenting the gradual development of business models, technological changes, firm operations and investment behaviour of venture capitalists in this field. Drawing an analysis of the compounded annual growth rates, employment level, average revenue and valuation of 134 U.S. blockchain start-ups, this essay elaborates on the prevailing market circumstances, investment opportunities and parameters of the industry. In addition, the essay constructed several regression models replicating investment behaviours of venture capital funds and indicates that VCs would focus on long-term start-up growth and yearly revenue as parameters when funding a start-up. Furthermore, the models performed more stable when narrowed the data sample down to start-ups that received multiple rounds of VC and private equity investments, indicating the predictability and continuous growth of successful high-profile start-ups. The aforementioned models used to analyse the data sample could only be achieved by using computer analytical techniques. This paper processed the data sample using the python application, PyCharm, to perform the analysis. The overall findings are optimistic about the business, suggesting that the industry possesses high growth potential, technological progress opportunities and development vacancies for start-ups to enter the market.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Keren Wang
PY  - 2022
DA  - 2022/12/27
TI  - Analysis on the Blockchain Venture Industry in the United States
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 379
EP  - 391
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_41
DO  - 10.2991/978-94-6463-064-0_41
ID  - Wang2022
ER  -