Cloud Computing as a Catalyst for Digital Transformation in Enterprises
This article analyses the role of cloud computing as a key catalyst for digital transformation within enterprises. The relevance of the topic is supported by up-to-date, verified statistical data demonstrating an unprecedented surge in investments in cloud technologies and their all-encompassing impact on the business environment from 2021 to 2025. A scientific gap has been identified in the lack of a holistic understanding of cloud computing’s multifaceted effects on the strategic, operational, and cultural dimensions of transformation. The aim of the study is to systematise the mechanisms by which cloud computing accelerates digital transformation and to assess their influence. The scientific novelty lies in the description of a comprehensive model that accounts for the synergistic effect of cloud technologies on digital maturity. The author’s hypothesis asserts that cloud computing not only enhances efficiency and scalability but is also essential for fostering a flexible and innovative organisational culture. A wide-ranging review of current, peer-reviewed literature is presented, illustrating researchers’ approaches and the controversies in the existing scientific discourse. Key findings include a detailed analysis of statistical data on the growth of the cloud-services market and its impact on critical business metrics, as well as graphical and tabular representations confirming cloud computing’s catalytic role. The work will interest senior executives, IT directors, academic researchers, and practitioners involved in digital-transformation initiatives, as well as anyone seeking to maximise the potential of cloud technologies for sustainable enterprise development.
Institutions
- Environmental Software and Services (Austria) (AT)
Publication Details
- Journal
- The American Journal of Engineering And Technology
- Published
- 2025-06-22
- DOI
- https://doi.org/10.37547/tajet/volume07issue06-19
- Citations
- 1
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.76