International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

AN ANALYTICAL STUDY ON OPERATING SYSTEMS

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Published 25 April 2026
Updated 25 April 2026

AN ANALYTICAL STUDY ON OPERATING SYSTEMS

Authors:

Arya Somnath Bhorde1

Student, MBA Department

Dhole Patil College of Engineering, Pune

 

Prof. Kanifnath S. Satav2

Professor, MBA Department

Dhole Patil College of Engineering, Pune

Abstract - This study provides a comprehensive analysis of global operating system (OS) trends from 2009 to 2024, leveraging Power BI to generate data-driven insights into evolving market dynamics. The research is grounded in structured datasets obtained from web-based sources and industry reports, ensuring both relevance and reliability. By applying descriptive and diagnostic analytics, the study systematically examines historical patterns, growth trajectories, and shifts in market share across major operating systems. The findings reveal a pronounced transition from desktop-centric systems, particularly Windows, toward mobile-first ecosystems dominated by Android and iOS, reflecting changing consumer behaviour and increasing reliance on portable devices.

Furthermore, macOS demonstrates steady growth driven by Apple’s tightly integrated ecosystem, while Linux continues to hold a stable position within specialized and enterprise environments. The study also underscores the influence of external factors, including rapid technological advancements, cloud adoption, and global disruptions such as the COVID-19 pandemic, which have significantly impacted usage patterns and accelerated digital transformation. Despite the availability of descriptive studies, there remains a gap in predictive modeling and user-centric behavioural analysis. This research partially addresses these limitations by incorporating multi-dimensional visualization techniques, enabling deeper interpretation of complex datasets. The insights derived offer practical value for developers, businesses, and policymakers seeking to align strategies with emerging technological trends.

Key Words: Operating Systems, Power BI, Data Analytics, Market Trends, OS Adoption, Visualization

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