Predicting Cloud Storage Adoption Rates Among Different Segments of Smartphone Users

KANWARJIT SINGH SAWHNEY

Authors

KANWARJIT SINGH SAWHNEY INDIA Author

Keywords:

Cloud storage, demographics, predictive analysis

Abstract

Cloud storage has become increasingly prevalent as a solution for managing digital data among smartphone users. Understanding the factors influencing adoption rates across different segments of smartphone users is crucial for service providers and policymakers alike. This paper examines existing literature and conducts a predictive analysis to forecast cloud storage adoption rates among diverse segments based on demographic, technological, and behavioral factors. By identifying key predictors such as user age, education level, privacy concerns, and perceived benefits, this study aims to provide insights into strategies for increasing adoption and optimizing service offerings tailored to specific user groups.

References

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