A Review of Cloud Computing and AI Applications in Digital Marketing for Web-Enabled Enterprises
DOI:
https://doi.org/10.31849/digitalzone.v17i1.27099Keywords:
Artificial Intelligence, Cloud Computing, Digital Marketing, Enterprise Systems, Web-Enabled Technologies, Marketing AutomationAbstract
This review examines how organizations are integrating cloud computing with artificial intelligence (AI) to enhance their digital marketing capabilities. We scrutinised scholarly articles, industry white papers, and illustrative corporate case studies covering the 2018–2025 period, with the aim of mapping the synergistic effects these technologies exert on widely recognised marketing pain points: difficulty in creating personalized customer experiences, wasting resources, and slow response to customer needs. Our analysis reveals five principal advantages: better business flexibility, improved customer tageting, real-time data analysis, automated processes, and cost saving. Quantified evidence suggests that firms adopting the AI-cloud model can lower operating costs by 70%, lift sales rates by 50%, elevate customer satisfaction scores by 60%, and accelerate decision-making by 40%. However, the implementation landscape features severe constraints, including data privacy reported by 78% of companies, a perceived over-reliance on external technology partners by 65% of respondents, and lack of skilled workers by 72%. Based on the findings, the study issues concrete guidance to executives: diversify cloud vendor portfolios, engineer interpretative user interfaces for AI applications, and commit to a robust training agenda. By synthesising contemporary evidence of advantages and vulnerabilities associated with AI-cloud marketing architectures, the research closes a significant knowledge void and furnishes a structured lens through which the evolving digital marketing landscape of the AI-cloud epoch can be systematically apprehended
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