International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 6 (November-December 2025) Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

How Cloud Computing Has Transformed Data Storage and Analytics: An Analytical Study of Scalability, Cost Efficiency, and Security Challenges

Author(s) Sanyam Singh
Country India
Abstract This study examines how cloud computing has transformed data storage and analytics by analysing developments in scalability, cost efficiency, and security. Drawing on a systematic review of contemporary literature, the research highlights the shift from traditional on-premises infrastructures to elastic, distributed, and cloud-native architectures capable of supporting big-data pipelines and real-time analytics. Findings indicate that cloud platforms significantly enhance scalability through auto-scaling, serverless computing, and multi-cloud strategies, while offering substantial cost benefits via pay-as-you-go models and resource optimisation tools. However, the study also identifies persistent challenges related to data privacy, multi-tenancy risks, regulatory compliance, and identity-access vulnerabilities. Despite these concerns, cloud adoption continues to expand across industries due to its operational flexibility and analytical power. The research concludes that cloud computing delivers transformative advantages but requires strong governance, security frameworks, and sustainable strategies. Future directions include privacy-preserving analytics, energy-efficient cloud models, and AI-driven autonomous cloud management.
Keywords Cloud Computing, Data Storage , Analytics , Scalability, Cost Efficiency, Security Challenges
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-28
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.61952
Short DOI https://doi.org/hbdsqv

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