The State of India's Quick Commerce 2026
A national map of India's dark stores, built from our July 2026 snapshot of Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes and BigBasket. Free to read, free to download.
Executive summary
- India has 5,625 dark stores mapped across Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes and BigBasket - Blinkit (1,955), Zepto (1,088), Swiggy Instamart (1,038), Flipkart Minutes (880), and BigBasket (664) - as of July 2026.
- These stores span 408 cities in 26 states, with Maharashtra, Karnataka, and Uttar Pradesh leading in total store counts.
- The sector directly employs an estimated 56,000-112,000 workers, with annual hiring demand approaching 200,000 due to high attrition.
5 key findings
- 01 Maharashtra leads with 1110 stores Driven by twin metros and a long tail of tier-2 markets.
- 02 Bangalore alone holds 806 stores That's roughly 11% of all dark stores in a single city.
- 03 Top 15 cities = 59% of all stores Quick commerce is still overwhelmingly metro and big-tier-2.
- 04 Blinkit runs the largest network 35% of the dark stores on Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes and BigBasket in our July 2026 snapshot.
- 05 Flipkart Minutes and BigBasket join the count Flipkart Minutes and BigBasket ran 2,079 of the 7,388 stores in July 2026.
Source: publicly observable store-locator data
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The PDF includes the full city-by-city table, every state breakdown, methodology notes, and the appendix, formatted for offline reading and sharing. You get the same data the on-page summary above is built from.
The State of India's Quick Commerce 2026
A national map, July 2026
What's inside the PDF
- 01 India's quick-commerce footprint at a glance: 5,625 dark stores (July 2026)
- 02 Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes and BigBasket compared
- 03 Top 50 cities by dark-store count
- 04 State-level totals and regional patterns
- 05 Platform deep dives: Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes, BigBasket
- 06 Tier 1 metros vs Tier 2 cities
- 07 Dense neighbourhoods and the locality effect
- 08 Implications for workers, investors and real estate
- 09 Methodology and data sources
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