Global Partner. Integrated Solutions.

    More results...

    Generic selectors
    Exact matches only
    Search in title
    Search in content
    Post Type Selectors

India Quick Commerce Market Outlook to 2030

The India quick commerce market was valued at USD 3.05 billion in FY 2024, up from approximately USD 1.6 billion in FY 2023.

India-quick-commerce-market-scaled

Market Overview

The India quick commerce market was valued at USD 3.05 billion in FY 2024, up from approximately USD 1.6 billion in FY 2023. This rapid expansion is driven by rising smartphone penetration (77%), faster mobile internet, increasing per capita digital spending, and consumers’ eagerness for instant delivery of daily essentials.

Quick commerce is currently concentrated in Tier‑I metros like Bengaluru, Mumbai, Delhi‑NCR, Chennai, and Hyderabad due to high urban density, robust logistics, and consumer appetite for 10–30 minute delivery. These cities also benefit from efficient infrastructure, large dark‑store networks, and higher disposable incomes—ensuring quick commerce becomes embedded in consumers’ daily routines.

India quick commerce market Size

Market Segmentation

By Product Category

The India Quick Commerce market is segmented into Grocery, Snacks & Beverages, Fresh Produce, Personal Care & Beauty, and Household Essentials. Snacks & Beverages dominate with ~32% market share in 2024 due to high frequency of impulse buying, portability, and low perishability. Young professionals and students increasingly use quick commerce for convenience, with players like Blinkit and Zepto heavily promoting this category through bundles and offers.

India quick commerce market Segmentation by Product Category

By Fulfilment Model

Dominated by Dark Stores, accounting for ~48% share in 2024. Quick commerce players prioritize controlling inventory, ensuring 10‑minute delivery through dense, strategically located micro-warehouses. This model enables improved stock accuracy, faster fulfilment, and better margins versus asset-light hyperlocal partnerships.  

India quick commerce market Segmentation by Fulfillment Model

Competitive Landscape

The India quick commerce market is dominated by major national players, with Blinkit, Swiggy Instamart, and Zepto at the core of market intensity. The competitive landscape is led by Blinkit, Swiggy Instamart, Zepto, BB Now, and Flipkart Minutes. Blinkit commands the largest share, backed by Zomato’s infrastructure. Instamart leverages Swiggy’s strong logistics base. Zepto’s ultra‑fast model and heavy funding rounds make it a key disruptor. BB Now and Flipkart Minutes, backed by Tata and Walmart respectively, are scaling rapidly. This consolidation demonstrates strategic advantage through dark stores, technology, and capital deployment.

Company Est. Year HQ Delivery Speed Dark-Store Count Funding Raised SKU Depth App Rating
Blinkit 2013 Gurugram
Swiggy Instamart 2020 Bengaluru
Zepto 2021 Bengaluru
BB Now (Tata) 2021 Mumbai
Flipkart Minutes 2024 Bengaluru

India quick commerce market Share of Key Players

India Quick Commerce Market Analysis

Growth Drivers

Rising Urbanization & Demand for Instant Deliveries

India’s urban population increased from 511 million in 2022 to 523 million in 2023, reflecting a surge of over 11 million urban residents. These urban consumers live in dense neighbourhoods, making 10–30-minute deliveries feasible and economical. With urban dwellers now representing 36.36% of the total population quick commerce leverages urban concentration to maximize delivery efficiency and reduce per‑order costs. This demographic shift amplifies demand for instant deliveries of staples and fresh goods close to homes, fuelling rapid market expansion.

Mobile-First Shopping Behavior

Mobile subscriptions in India stood at 80.65 per 100 people in 2022. With 4G/5G connectivity vastly improving access, 5.5 billion people globally are online as of 2024, indicating wider consumer readiness for app-based retail. The combination of cheaper smartphones and data plans has driven over 600 million active mobile internet users in India. Consumers, particularly urban millennials and Gen-Z, prefer placing quick orders via mobile apps during work breaks or commutes, directly fueling quick-commerce transaction volumes in metros and rapidly growing smaller cities.

Market Challenges

Low Profit Margins and High Logistics Cost

Quick commerce relies on delivering hundreds of thousands of small-value orders—often under ₹300—across crowded metro traffic environments. Last‑mile logistics currently account for approximately 12%–15% of transaction value. Operating costs, including rider wages, fuel, rent for dark stores, and packaging, drive up overhead. Even with scale, most platforms report negative unit economics, as delivery costs per order exceed ₹50–₹70, pressuring profitability and necessitating scale‑back strategies or third‑party partnerships to sustain operations.

Return and Refund Management

Consumers frequently return items due to quality issues, damaged goods, or incorrect deliveries. The refund process burdens quick commerce operators, as they manage 100,000–150,000 orders daily, with an average return rate of 5%. This leads to reverse logistics costs, re-inspection, restocking, and handling of cold‑chain perishables. The challenge intensifies during peak seasons, where return flux can spike by 50,000 orders per day, increasing operational strain and reducing fill rates due to inventory surprises.

Opportunities

Expansion in Tier II & III Cities

Smaller cities outside metros are showing rapid e‑commerce uptake. Quick‑commerce TAM in such cities—projected to reach USD 57 billion by 2030—signals fast growth in current adoption levels. Though urban metros still dominate revenues, Tier II cities are witnessing over 20% monthly order growth on quick‑commerce apps. This presents opportunity for early-digital adopters and under-served consumers. Platforms can capture market share with fewer dark stores, lower rentals, and local partnerships while testing tier-adapted business models ahead of full-scale national expansion.

Integration with Local Kirana Stores

Partnering with kiranas allows quick commerce firms to access hyperlocal inventory and reduce logistics costs. Over 3 million kirana stores are active across India, many of which serve 500–1,000 households weekly. Integrations enable fulfillment from existing stores, improving last-mile speed and storefront visibility. Current quick‑commerce platforms report 25% of orders being fulfilled through these partnerships, shortening delivery times and helping rural-urban hybrid expansion without large capital investment.

Future Outlook

Over the next 5 years, the India quick commerce market is projected to expand significantly, driven by deeper penetration into Tier II & III cities, broader product offerings, and greater infrastructure investment. Technology—especially AI-driven inventory forecasting, route optimization, and micro-fulfillment—will underpin margin improvements. Structural challenges like high operational costs and tight unit economics are expected to ease as players move toward profitability scale.

Major Players

  • Blinkit (Zomato)
  • Swiggy Instamart
  • Zepto
  • BB Now (BigBasket/Tata)
  • Flipkart Minutes
  • Amazon Fresh Quick
  • JioMart Express
  • Dunzo
  • Ola Dash (now acquired)
  • Shadowfax Q‑commerce
  • Urban Piper (Technology enabler)
  • Loadshare
  • XpressBees Q‑commerce
  • StoreSe
  • Reliance Quick

Key Target Audience

  • C-level executives at retail & FMCG companies
  • Supply‑chain & logistics heads
  • Product and category managers at FMCG brands
  • Investments and venture capitalist firms
  • Government and regulatory bodies (FSSAI, Ministry of Consumer Affairs)
  • Dark‑store and micro‑fulfilment developers
  • Mobile‑app strategy and technology leaders
  • Retail media and advertising agencies

Research Methodology

Step 1: Primary & Secondary Data Collection

Gathered historical and contemporary data from financial disclosures, VC databases (e.g., Tracxn), government (FSSAI), and industry analyst reports (Bain, Morgan Stanley). Conducted 40+ interviews with stakeholders across quick commerce players, kirana aggregators, and logistic providers.

Step 2: Quantitative Analysis & Forecasting

Constructed base‑year market size using FY 2022–2024 data. Applied CAGR projections from credible sources (MarketsandData, Bessemer, Bain). Cross‑validated with order‑level data (orders/day, ticket size). Used top‑down and bottom‑up approaches to confirm market valuation.

Step 3: Competitive Benchmarking

Evaluated each major player using 6 key metrics: delivery speed, SKU depth, city coverage, dark‑store network, funding, and app ratings. Benchmarked based on publicly disclosed data, industry reports, and app store reviews.

Step 4: Validation & Expert Interviews

Conducted CATI interviews with logistics heads, dark‑store operations managers, and category analysts to validate quantitative findings and understand on-ground challenges like workforce attrition, fill‑rates, and unit economics.

  • Executive Summary
  • Research Methodology
    (Market Definitions and Assumptions, Abbreviations, Market Sizing Approach, Consolidated Research Approach, Understanding Market Potential Through In-Depth Industry Interviews, Primary Research Approach, Limitations and Future Conclusions)
  • Definition and Scope
  • Evolution of Quick Commerce in India
  • Milestones in Indian Quick Commerce Ecosystem
  • Fulfillment Model Evolution (Dark Stores, Hyperlocal Stores, Micro Warehouses)
  • End-to-End Value Chain Mapping
  • 10-Minute Delivery Impact Analysis
  • Growth Drivers
    Rising Urbanization & Demand for Instant Deliveries
    Mobile-First Shopping Behavior
    VC/PE Investments Fueling Expansion
    Growth in D2C and Private Label Offerings
  • Market Challenges
    Low Profit Margins and High Logistics Cost
    Return and Refund Management
    Rider Shortages & Attrition
    City-Wise Regulation Differences
  • Opportunities
    Expansion in Tier II & III Cities
    Integration with Local Kirana Stores
    Monetization of Dark Store Inventory
    AI-Based Inventory Planning
  • Consumer Trends
    Repeat Ordering Patterns
    AOV Shift Toward Impulse Buys
    Subscription-Based Delivery Models
    Brand Preference for Private Labels
  • Regulatory Environment
    FSSAI Norms on Perishables
    Gig Worker Protection Policies
    Local Municipality Delivery Restrictions
  • Stakeholder Ecosystem Mapping
  • SWOT Analysis
  • Porter’s Five Forces
  • By Value, 2019-2024
  • By Volume (Orders Processed per Day), 2019-2024
  • By Average Order Value (AOV), 2019-2024
  • By Product Category (In Value %)
    Grocery
    Fresh Produce
    Dairy and Bakery
    Personal Care
    Household Essentials
  • By Fulfilment Model (In Value %)
    Dark Store
    Hyperlocal Store
    Micro-Fulfillment Center
    Partner Retailer Model
    Mixed Model
  • By Order Size (In Value %)
    Low Basket Size (< ₹300)
    Mid Basket Size (₹300 – ₹700)
    High Basket Size (> ₹700)
  • By City Tier (In Value %)
    Tier I
    Tier II
    Tier III
  • By Delivery Time Slots (In Value %)
    0–10 minutes
    11–20 minutes
    21–30 minutes
    30+ minutes
  • Segmentation of Core User Base
  • User Pain Point Mapping
  • App Uninstall & Re-Install Patterns
  • NPS and CSAT Scores by Platform
  • By Value, 2025-2030
  • By Volume (Orders Per Day), 2025-2030
  • By Average Order Value, 2025-2030
The India Quick Commerce market is valued at USD 3.05 billion based on FY 2024 financials from industry reports. The surge is due to increasing smartphone use, faster internet, and consumer demand for 10‑30 minute deliveries of daily essentials.
Growth is propelled by rising urban density (in metros and Tier II cities), smartphone penetration (77%), mobile data affordability, and increasing digital disposable income. Platforms are also expanding SKU mix beyond groceries to snacks, personal care, and FMCG essentials.
Snacks & Beverages lead with ~32% share, followed by Grocery (~25%). These sub‑segments dominate because of their perishable-permanent nature, frequent consumption, and suitability for impulse purchases, driving frequent orders through quick commerce apps.
Dark stores are the dominant fulfilment model (48% share in 2024) due to their efficiency in meeting 10‑minute delivery goals via controlled inventory and strategic location. Marketplace and hybrid models lag behind.
Key players include Blinkit, Swiggy Instamart, and Zepto, followed by BB Now and Flipkart Minutes. They dominate through strong capital, technology, logistics networks, and aggressive expansion of dark stores and fulfillment infrastructure.
Product Code
NEXMR5316Product Code
pages
80Pages
Base Year
2024Base Year
Publish Date
May , 2025Date Published
Buy Report
Multi-Report Purchase Plan

A Customized Plan Will be Created Based on the number of reports you wish to purchase

Enquire NowEnquire Now
Report Plan
whatsapp