International Journal on Science and Technology
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Volume 17 Issue 4
October-December 2026
Indexing Partners
E-commerce Trends in Maharashtra
| Author(s) | Ms. Shivani Kinhekar, Ms. Priya Bopche, Ms. Naina Bawankar, Ms. Dipika Bhute |
|---|---|
| Country | India |
| Abstract | The digital commerce landscape in India has undergone a seismic shift, with Maharashtra emerging as a critical and high-growth market due to its significant economic contribution and high rate of digital adoption. However, the regional nuances of consumer behavior within the state remain underexplored, leading to generic strategies that fail to maximize market potential. This research paper presents a comprehensive analysis of e-commerce trends within Maharashtra, focusing on evolving consumer preferences, geographic disparities in adoption, and the impact of digital payment systems. The study employs a mixed-method approach, integrating quantitative data analysis of market reports and consumer spending patterns with qualitative insights from regional studies. Key datasets from the India Internet Report, RBI payment statistics, and custom consumer surveys were analyzed using trend analysis, demographic segmentation, and correlation techniques. The findings reveal a significant surge in mobile commerce (m-commerce), with Tier-2 and Tier-3 cities like Nagpur, Aurangabad, and Nashik exhibiting remarkable growth rates, rapidly narrowing the gap with metropolitan hubs like Mumbai and Pune. The research identifies a strong consumer preference for categories like Electronics, Fashion, and Groceries, alongside the overwhelming dominance of UPI as the preferred payment method. The significance of this research lies in its ability to provide data-driven, actionable insights for e-commerce businesses, marketers, and policymakers to tailor their strategies for the Maharashtrian market. It highlights the critical importance of regional adaptation, vernacular content, and logistics optimization for deeper market penetration. This paper serves as a foundational model for understanding state-specific e-commerce dynamics and contributes to the broader field of digital market analysis. |
| Field | Business Administration |
| Published In | Volume 17, Issue 4, October-December 2026 |
| Published On | 2026-10-17 |
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Crossref DOI prefix of IJSAT is 10.71097/IJSAT
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