50+
Charts & Data Visualizations
4
Major Analysis Sections
10
Indian Cities Covered
3,032
Total Respondents
ES
Executive Summary
7
The Quick Commerce Opportunity
Datum Estimates: Market Sizing $0.1B → $59B
Five Structural Shifts Reshaping Grocery
Consumer Behavior at a Glance
City-Level Adoption Patterns
Strategic Implications
01
QC Primer
10
What is Quick Commerce
India's Retail Market Opportunity
The Grocery Opportunity
Quick Commerce Market Opportunity
How It Works
Why is Quick Commerce Working?
Better Pricing vs Traditional Retail
Visible Path to Profitability
Platform Negotiating Capability
03
Consumer Behavior
13 Items
Shopping Habits & Frequency of Purchase
Rising Interest in 10-Min Delivery
Online Purchase Categories
Preferred Delivery Type
Willingness to Pay Premium
Key Purchase Drivers
Beyond Top-Up: Full-Month Shopping
Unplanned Purchases Rise
Source of Unplanned Purchases
Primary Purchase Categories
Snacks & Drinks Deep-Dive
Beauty, Personal Care & Household
Value Perception vs Kirana
Price Comparison by Category
04
Platform Performance
11 Items
Platform Usage & Market Share
Order Frequency
Delivery Time Experience
Delivery Reliability
App Satisfaction & UX
Customer Priority Rankings
Customer Loyalty
Price Sensitivity
Price Checking Behavior
Price Comparison Triggers
QC Preference by Category
05
Kirana Impact
11 Items
Spending Changes After Quick Commerce
Complete Channel Abandonment
Stopped Kirana Buying by City
Future Buying Intentions (6-Month)
Kirana Purchase Migration (%)
Migration Severity Levels
Kirana Store Sales Decline
Most Impacted Categories
Kirana Long-term Threat Perception
Market Value Migration
$1.28B Migration Breakdown
06
Sources, Methodology & Definitions
3
Sources & Methodology
Key Definitions
Category Definitions (18 Categories)
Executive Summary: Quick Commerce in India
$12.9B CY2025E market | 3,032 online grocery buyers surveyed | 10 Indian cities | October 2024
$12.9B
CY2025E Market Size (₹1.07L Cr)
111% YoY growth from CY2024 ($6.1B). Based on actual platform GOV. Fastest-growing segment in Indian retail.
76%
Interest in 10-Min Delivery
Up from 57% in 2021 (+19pp). 73% willing to pay a premium for speed, up from 47% in 2021 (+26pp).
58%
Full-Month Grocery on QC
QC has moved beyond top-up. 58% now do their full monthly grocery shop on quick commerce platforms. Kolkata leads at 68%.
$1.28B
Annual Kirana Value Migration
Spending is actively shifting from kirana stores to QC. 66% perceive QC as better value. 61% of customers are highly loyal to QC.
Datum Estimates: India Quick Commerce Market Sizing
Gross Order Value (GOV) in $B, Calendar Year basis | 1 USD = ₹87 | Datum Intelligence synthesis of actual platform GOV + Redseer, Goldman Sachs, Bain data
CY 2020
$0.1B
Pre-Pandemic Nascent
Dunzo and early Grofers (pre-Blinkit) only. Zepto not yet launched. Dark store model unproven in India. Sub-100K daily orders across all players.
CY 2025E
129x from 2020
$12.9B
Hyper-Growth Phase
Blinkit Q1FY26 GOV ₹11,821Cr (140% YoY). 45M+ monthly users. 4,500+ dark stores. Blinkit, Zepto, Swiggy Instamart control 90%+. Category expansion into electronics, beauty underway.
CY 2030E
592x from 2020
$59B
Scale & Profitability Phase
36% CAGR from CY25. Tier-2/3 contributing 35%+ of GOV. Non-grocery (electronics, fashion, pharma) at 30%+ share. ~7% of India's $800B+ grocery TAM. Platform consolidation.
Growth Trajectory: GOV ($B)
$0.1
2020
$0.3
2021
$1.0
2022
$2.8
2023
$6.1
2024
$12.9
2025E
$20.8
2026E
$29.1
2027E
$37.7
2028E
$47.8
2029E
$59.2
2030E
◀ Actuals
|
Datum Estimates ▶
Five Structural Shifts Reshaping Indian Grocery
Why quick commerce is a structural channel shift, not a temporary convenience play
1
From Top-Up to Full Basket
58% of consumers now do their full monthly grocery shopping on QC, not just top-ups. Kolkata leads at 68%, followed by Bangalore and Mumbai at 60%. Average order value is ₹500+ for 67% of orders, with Mumbai averaging ₹541. The "small basket" narrative is dead for power users (26% place 10+ orders/month).
2
Speed Premium is Now Table Stakes
76% interested in 10-minute delivery (up from 57% in 2021, +19pp). 73% willing to pay a premium for it (up from 47%, +26pp). 69% prefer 10-minute delivery over scheduled next-day. The premium willingness nearly doubled in three years, making speed an expected feature, not a differentiator.
3
QC Drives Impulse Behavior at Scale
75% report increased unplanned purchases since adopting QC. Mumbai leads at 82%. QC apps are the #1 source of impulse buying at 44% (beating online grocery at 33% and kirana at 17%). The always-available, frictionless ordering model is creating new consumption occasions that didn't exist before.
4
Category Expansion Beyond Grocery
Grocery (79%) and Snacks (74%) anchor the platform, but Household Essentials (47%) and Beauty/Personal Care (42%) are scaling fast. Within BPC, skincare (73%), hair care (70%), and makeup (69%) show strong adoption. Within household, cleaners (63%), personal appliances (52%), and electronics (headphones 48%) prove QC can serve beyond FMCG.
5
Kirana Displacement is Accelerating
$1.28B in annual value has already migrated from kiranas to QC. 66% of consumers perceive QC as better value than their local kirana. QC beats kirana on price perception across all categories: Snacks 83%, Packaged Food 81%, Fruits & Vegetables 80%, Dairy 77%. 61% of QC customers report high or extreme loyalty, meaning this migration is sticky, not experimental.
Consumer Behavior at a Glance
Key behavioral metrics from 3,032 online grocery buyers across 10 Indian cities
Platform Adoption
Blinkit
65%
Zepto
55%
Swiggy Instamart
55%
BigBasket
50%
JioMart
35%
Why Consumers Choose QC
Fast Delivery
36%
Discounts
32%
Trust/Existing
7%
Easy Ordering
7%
Speed + Discounts combined = 68% of purchase motivation
Satisfaction & Loyalty
75%
App Satisfaction
(8.4:1 positive ratio)
61%
High/Extreme Loyalty
(Only 11% at-risk)
66%
See QC as Better Value
(vs local kirana)
61%
Would Switch on +10%
(price sensitivity)
Top Pain Points
High Delivery Fees
39%
Delayed Delivery
36%
Limited Variety
31%
Payment Issues
26%
Fees + Delays = 75% of complaints. 66% experience delivery delays sometimes or often.
City-Level Adoption Patterns
How QC adoption, spending, and behavior vary across India's top 10 cities
| City | Avg AOV | Power Users (10+/mo) | Full-Month Grocery | Impulse Increase | Key Insight |
|---|---|---|---|---|---|
| Mumbai | ₹541 | 30.3% | 60% | 82% | Highest AOV + highest impulse. Premium QC market. |
| Kolkata | ₹524 | 29.7% | 68% | 74% | Highest full-basket adoption. QC replacing kirana fastest. |
| Bangalore | ₹518 | 28.2% | 60% | 73% | Tech-savvy early adopter. Balanced across all metrics. |
| Ahmedabad | ₹528 | 21.5% | 58% | 76% | High AOV but low power users. Value-seeking market. |
| Chennai | ₹514 | 18.0% | 59% | 74% | Lowest power users. Kirana loyalty still strong in South. |
| Delhi NCR | ₹494 | 27.1% | 53% | 76% | Lowest full-basket despite being launch city. Fragmented retail. |
| Hyderabad | ₹487 | 21.3% | 57% | 71% | Lowest impulse increase. Traditional retail habits persist. |
| Pune | ₹483 | 22.7% | 57% | 74% | Lowest AOV. Price-sensitive; discount-driven adoption. |
The Kolkata anomaly: Kolkata leads in full-basket adoption (68%) and has the second-highest power user share (29.7%), despite not being a QC launch city. This suggests second-wave metros may out-adopt launch cities once dark store density reaches critical mass. Platforms should prioritize Kolkata-like cities for expansion.
Strategic Implications for Festive 2025
What the data means for platforms, FMCG brands, kiranas, and investors
QC Platforms
Blinkit, Zepto, Swiggy
Delivery fees are the #1 churn risk. 39% cite it as top frustration, 61% would switch for 10% savings. Free delivery thresholds (not blanket free) should be the primary retention lever.
Category expansion is the AOV play. BPC (42%) and Household (47%) have strong adoption. Headphones at 48% signals electronics is viable.
Power users (26%, 10+ orders/month) are the profit engine. Mumbai 30%, Kolkata 30%, Bangalore 28%. These users need loyalty programs, not discounts.
FMCG Brands
National & D2C
QC apps are the #1 impulse purchase channel at 44%, beating e-commerce (33%). Optimize for app-native discovery (banners, in-app promos) over search.
D2C brands have a margin advantage. 15-25% margins for challengers vs mid-single-digits for nationals. Dark store model favors brands willing to trade volume for margin.
Snacks (73%) and Ice Cream (60%) are impulse anchors. Bundling strategy: pair high-margin impulse item with threshold-hitting grocery basket for free delivery.
Kiranas & Retailers
Traditional Trade
Value perception battle is already lost. 66% see QC as better value across all categories (snacks 83%, packaged food 81%, F&V 80%). Cannot compete on price with platform procurement.
$1.28B has already migrated annually. Recurring and growing. Concentrated in packaged goods and staples where QC has strongest kirana assortment overlap.
Survival path: fresh, hyper-local, and credit. Kiranas retain advantages in fresh produce quality, neighborhood access, and udhar relationships. Only viable differentiation.
Investors
PE / VC / Public Markets
Unit economics are improving. 67% of orders are ₹400+, well above profitability thresholds. BPC (42%) and household (47%) improve basket margins beyond grocery.
Oligopoly structure limits price wars. Top 3 control 95%+. Blinkit $13B, Zepto $7B, Swiggy Instamart ~$4.8B. Zepto IPO filing signals shift to profitability.
61% loyalty and 75% satisfaction are retention moats. Habit formation, saved lists, and neighborhood dark stores create durable competitive advantages rare in Indian consumer tech.
What is Quick Commerce
Understanding the 10-minute delivery revolution
Defining Quick Commerce
The key characteristics that distinguish QC from traditional e-grocery
Quick Commerce is a model of e-commerce that focuses on delivering everyday essentials, primarily groceries, in 10-20 minutes. Unlike traditional online grocery platforms that offer next-day or scheduled delivery with 20,000-50,000 SKUs, QC operates through a network of hyper-local dark stores (micro-warehouses) stocking a curated selection of ~10,000 high-velocity SKUs. Consumers place small, frequent orders of 5-10 items, mirroring India's traditional kirana shopping behavior but with the convenience of a mobile app and near-instant fulfillment.
India's Retail Market Opportunity
A $1 trillion market with massive digital headroom
The Grocery Opportunity
Kirana-led $600B+ grocery market with massive digital headroom
India Grocery Market
₹50T
(~$600B)
65% of all retail sales | 13M+ Kirana stores
Grocery Market By Sales Channels, 2025
(in %)
Quick Commerce
1.5%
Traditional ecommerce
1.2%
Organized B&M
5.9%
Unorganized Retail
91.4%
2025
Source: Datum Analysis, Statista, USDA Retail Foods Report
Key Insights
As of CY2024, India's grocery market is predominantly controlled by unorganized retail, which holds an impressive 91.4% market share
Despite the rapid growth of organized retail and e-commerce, Kirana stores remain a crucial component of India's retail sector
Quick commerce is expected to increase the channel shift from Kirana to online grocery
With less than 1% online grocery penetration in a ₹50T market, India represents one of the largest untapped digital grocery opportunities globally
Quick Commerce Market Opportunity
$0.1B (CY2020) to $59B (CY2030E) - the fastest-growing segment in Indian retail
CY 2020
$0.1B
Pre-Pandemic Nascent
Dunzo and early Grofers (pre-Blinkit) only. Zepto not yet launched. Dark store model unproven in India.
CY 2025E
129x from 2020
$12.9B
Hyper-Growth Phase
111% YoY from CY2024. 45M+ monthly users. 4,500+ dark stores. Blinkit, Zepto, Swiggy Instamart control 90%+.
CY 2030E
592x from 2020
$59B
Scale & Profitability Phase
36% CAGR from CY25. Tier-2/3 contributing 35%+ of GOV. Non-grocery at 30%+ share. ~7% of India's $800B+ grocery TAM.
Growth Trajectory: GOV ($B)
$0.1
2020
$0.3
2021
$1.0
2022
$2.8
2023
$6.1
2024
$12.9
2025E
$20.8
2026E
$29.1
2027E
$37.7
2028E
$47.8
2029E
$59.2
2030E
◀ Actuals
|
Datum Estimates ▶
Source: Datum Intelligence Estimates | Actual GOV from Eternal (Zomato), Swiggy, Zepto filings | Redseer, Goldman Sachs, Bain & Company, Deloitte | GOV in $B, CY basis, 1 USD = ₹87
How It Works
Dark stores, hyperlocal logistics, and the delivery model
Why is Quick Commerce Working?
Key factors driving rapid adoption
1
Frequent Top-Up Purchases
Mirrors the kirana shopping habit of frequent small purchases. Indian consumers naturally buy groceries in small quantities multiple times a week rather than bulk monthly trips.
Kirana behaviour
5-10 items
2
High Fill Rate & Speed
99%+ fill rates with average delivery time of 12.5 minutes. Dark store model ensures product availability and hyper-local fulfillment eliminates delivery uncertainty.
99%+ fill rate
12.5 min avg
3
Diverse Categories
Expanding beyond grocery into beauty, electronics, pharmacy, and general merchandise. Category expansion increases order frequency and customer lifetime value.
Beauty
Electronics
Pharma
Quick Commerce Offers Better Pricing Than Traditional Retail
Price competitiveness across product categories
Traditional Offline Retail
Offline Retail
Producer
Distributor
Wholesaler
Retailer
Consumer
25% margins shared between wholesale, distributor and retailer
Quick Commerce
Quick commerce offsets traditional retail's high channel costs by removing layers and substituting it with delivery costs. As long as delivery costs are lower than savings from the channel consolidation, quick commerce can offer prices lower than traditional retail.
Quick Commerce
Producer
QC Platforms
Consumer
10-15% margins retained by platform; rest passed to consumer
Source: Goldman Sachs, Datum Analysis
Visible Path to Profitability
Unit economics and margin trajectory
Five-Lever Profitability Framework
How QC platforms are building a sustainable business model
Increasing AOV
₹660
Increase AOV via category expansion, product upselling, minimum order values and optimizing & localizing selection
Decreasing COGS
Scale
Sourcing relationships with FMCG producers and retailers drive better procurement terms
Quick commerce offsets traditional retail's high channel costs by removing layers and substituting with delivery costs
FMCG companies optimizing stocks between Kirana, Quick Commerce and Modern Trade
New Revenue Streams
3-4%
Delivery Fees, Platform Fees and Advertising Revenue forming new monetization levers
Customers are willing to pay delivery and platform fees for the convenience of 10-minute delivery
Ad spend on QC platforms reached 3-4% of gross order value (GOV) in the last two years
Efficient Dark Stores
10-12K
Optimize store layout and location to achieve store efficiency and superior fulfilment rates
Dark store operations are optimised for high throughput per sq. ft with 10-12,000 curated SKUs
Low Last Mile Cost
2-3 km
Low delivery drop rates and optimisation of route planning due to small radius of delivery
Platforms engage a combination of motor-bike, electric mobility vehicle or bicycle rider partners to fulfil orders
Source: Prosus Investor Relations, Datum Analysis
Platform Negotiating Capability
Leverage in supplier and brand partnerships
Product Margins by Category
Quick Commerce offers platforms better negotiating capability with brands
Meat*
20-25%
Fruits*
20-25%
General Merchandise
20-25%
D2C Challenger Brands
15-25%
Ice Creams
15-20%
Vegetables*
15-20%
Electronics
Mid-high %
National Brands
Mid %
Dairy
Low %
*Margins after considering wastage
Source: JM Financials
Sources & Methodology
A research study by Datum Intelligence — Online Grocery & Quick Commerce Consumer Survey, October 2024
Market & Consumer Data
Online survey of 3,032 online grocery buyers across 10 Indian cities (October 2024), Datum eCommerce & Quick Commerce market data, company filings, broker reports, media reports
Industry & Channel
Expert interviews with QC players, FMCG brands, logistics & payments partners, modern retail associations; Kirana shop owner survey (n=300) covering grocery, F&V, and general merchandise retailers
Definitions: Quick Commerce = delivery within 10–30 minutes via dark stores; Online Grocery = all digital grocery purchases including scheduled delivery; Kirana = traditional neighbourhood retail stores. Sample: 54% male / 46% female, ages 18–45+, online grocery buyers. Survey period: October 2024 (festive month). Data reflects publicly available information supplemented by primary research.
Cities Covered (10): Delhi-NCR (Delhi, Gurgaon, Noida), Mumbai, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune.
Quick Commerce Market Size & Growth
Revenue trajectory and market expansion
Competitive Landscape
Platform market share and positioning
Source: Zomato Q2 FY26 Investor Relations, Swiggy Q2 FY26 Filings, Prosus Investor Relations, Company Press Releases, Datum Analysis | Data as of Q3 FY26 (Dec 2025)
Funding & Valuations
Investment trends and company valuations
Macro Tailwinds Driving Growth
Structural forces accelerating adoption
Six structural forces are converging to make India the world's fastest-growing quick commerce market. These are not cyclical trends but fundamental shifts in demographics, technology, and consumer behavior.
Rising Urbanization
37% urban population with continuous tier-1 city densification and tier-2/3 expansion creating concentrated demand.
Dual-Income Households
Female labor participation rose from 23% to 37% (2018-2023). Dual-income families prioritize time savings over cost.
UPI Payment Rails
228B annual UPI transactions with 83% digital payment share enable frictionless micro-purchases that power quick commerce.
Post-COVID Lock-In
Online preference for daily needs jumped from 33% to 87%. 10-minute delivery expectations became mainstream, not niche.
Nuclear Family Shift
Shift from joint to nuclear families creates smaller, more frequent purchase occasions that suit the quick commerce model.
Unorganized Retail Gap
85-90% unorganized retail and <1% online grocery penetration leaves massive addressable market for organized digital players.
Source: IBEF, Kearney, USDA, DataReportal, CFO India
Sources & Methodology
Data Sources: PIB (Government of India), DataReportal Digital 2025, USDA Retail Foods Report, Statista, Mordor Intelligence, Kearney, IBEF, Grand View Research, Business Standard, TechCrunch, CNBC, IMF, company filings and investor presentations.
Market size estimates vary across research firms due to differing methodologies (GMV vs. GOV, calendar vs. fiscal year, inclusion/exclusion of certain categories). Where ranges exist, we present the spread to avoid false precision. All figures are from the most recent available reports (2024-2025).
Shopping Habits of Indian Consumer Suitable for Quick Commerce
Frequency of grocery purchases by category
Frequency of Purchase
How often do Indian consumers buy grocery categories? (in %)
Daily
4-6x/week
2-3x/week
Once a week
Once in 2 weeks
Once a month
Once in 2+ months
Source: Q: How frequently do you purchase the following categories? | Datum Insights, Zepto, HSBC Research
Datum Insights
- Daily Dairy Dominance44% of consumers buy dairy daily, making it the top category for quick commerce frequency.
- Fresh Produce PatternFruits & vegetables see 2-3x weekly purchasing by 34% of buyers, ideal for QC's same-day model.
- Monthly Staples62% buy staples monthly, showing bulk-buying behavior that QC is now disrupting with convenience pricing.
- High-Frequency = QC FitIndia's small-ticket, high-frequency grocery habits are structurally aligned with quick commerce's value proposition.
Rising Interest in 10-Minute Delivery
Consumer demand for speed is surging
How Interested Are Consumers in 10-Minute Delivery?
YoY comparison 2021 vs 2024
| 2021 | 2024 | Change | ||
|---|---|---|---|---|
| Interested | 57% | → | 76% | +19% |
| Neither Interested Nor Not | 19% | → | 8% | -11% |
| Not Interested | 24% | → | 16% | -8% |
Source: Q: How interested or uninterested are you in using 10-minute grocery delivery? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 76% InterestedThree in four buyers now want 10-minute delivery, up 19pp from 2021.
- Fence-sitters GoneNeutral dropped 19% to 8%. Undecided buyers moved to "interested."
- Structural ShiftThree years of rising interest signals a permanent change in how India buys groceries.
- Platform ConfidenceBlinkit, Zepto, Instamart infrastructure has built trust that 10-minute promises are real.
Preferred Delivery Type
How consumers want their orders delivered
Delivery Preference Split
10-minute vs scheduled next-day delivery
69%
10-min Delivery
with Market Price
with Market Price
31%
Scheduled Next-Day
Delivery
Delivery
Source: Q: What is your preferred delivery speed for online grocery? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 69:31 Speed Premium7 in 10 buyers choose speed over savings. Price is no longer the primary driver for two-thirds of grocery buyers.
- 31% Conversion OpportunityThe scheduled-delivery cohort is a price-sensitive segment convertible through targeted promotions and fee waivers.
- Dark Store Validation69% rapid-delivery preference validates hyperlocal dark-store warehouse investment at scale.
- Behavioral Lock-inOnce consumers experience 10-minute delivery, next-day feels like a downgrade, creating natural retention and habit loops.
Key Purchase Drivers
Why consumers choose quick commerce
Fast Delivery And Discounts Key Drivers for Quick Commerce
Reasons for choosing quick commerce
Source: Q: What are the primary reasons for choosing quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Driver Composition
Primary vs secondary motivation mix
36%
Primary Driver:
Speed
Speed
32%
Secondary Driver:
Discounts
Discounts
Datum Insights
- Combined 68% DriversSpeed and discounts together account for two-thirds of platform selection, with speed being primary motivator.
- Speed > PriceFast delivery edges out discounts 36% vs 32%, confirming convenience has overtaken value as the primary pull.
- Long Tail FragmentedTrust, ease, EMI, and shopping lists each sit at 4-7%. No single secondary factor moves the needle.
- Discount Dependency Risk32% choosing QC for discounts flags a retention risk if platforms cut back promotions to chase profitability.
Willingness to Pay Premium
Price sensitivity for faster delivery
Premium Payment Trend
Willingness to pay extra for speed, 2021-2024
| 2021 | 2024 | Change | ||
|---|---|---|---|---|
| Likely to Pay Premium | 47% | → | 73% | +26% |
| Neutral | 25% | → | 15% | -10% |
| Unlikely to Pay Premium | 28% | → | 12% | -16% |
Source: Q: Would you pay a premium for faster delivery? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 73% Accept PremiumThree-quarters will pay for speed. QC can move beyond discount-driven growth into sustainable unit economics.
- 26% Swing SegmentThe largest conversion pool: resistant-to-willing shift creates the biggest revenue upside for platforms.
- Price Ceiling UntestedThe question shifts from "will they pay?" to "how much?" Platforms have room for tiered delivery pricing experiments.
- Discount Exit Ramp73% premium willingness gives platforms a credible path to reduce burn without cratering order volumes.
Primary Purchase Categories
Top product categories on quick commerce
Category Penetration on QC
% of users purchasing in each category
Source: Q: What categories do you purchase on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Grocery Moat at 79%4 in 5 QC buyers purchase grocery. This is the repeat-behavior anchor that keeps users coming back daily.
- Snacks at 74%Nearly matching grocery, snacks confirm impulse and convenience categories are native to the QC model, not add-ons.
- 47-42% Growth GapHousehold and beauty sit at half of grocery penetration. Closing this gap is the next AOV and margin expansion lever.
- Breadth = RetentionUsers buying across 3+ categories churn less. Expanding beyond grocery is a stickiness play, not just a revenue play.
Online Purchase Categories
What consumers buy online across platforms
Top Online Categories
Consumer purchase penetration across e-commerce
Source: Q: What product categories do you buy online? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Extended Categories
Secondary purchase categories online
Source: Q: What product categories do you buy online? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Grocery Trails ClothingAt 61% vs 65%, grocery hasn't yet become India's top online category. That gap is QC's entire addressable opportunity.
- 51-65% Parity BandFive categories clustered within 14pp of each other. Online shopping is no longer category-specific, it's habitual across the board.
- Beauty = QC's Margin Play55% penetration, small SKUs, high repeat rate, impulse-driven. Beauty is where QC margins look most like e-commerce, not logistics.
- Sub-35% Not QC TerritoryHomeware, jewellery, large appliances need touch-and-feel or complex delivery. QC's dark store model structurally can't serve these.
Snacks & Drinks Detail
Impulse snacking and beverage categories
Top Snacks & Drinks Categories
Among snack buyers on quick commerce (n=2,232)
Source: Q: Which snack and drink categories do you buy on quick commerce? | Datum Online Grocery Study 2024 (n=2,232 snack buyers on QC)
Extended Snacks Categories
Secondary and emerging snack/beverage categories
Datum Insights
- Top 3 at 71-73%Chips, drinks, and sweets are near-identical in penetration. Snacking on QC is broad-based, not one sub-category.
- Ice Cream at 60%A cold-chain product at 60% proves QC logistics can handle temperature-sensitive delivery at scale.
- Frozen Food at 47%Nearly half buy frozen on QC. This category barely existed in QC two years ago, now mainstream.
- Paan Corner 26%India-specific indulgence finding a digital home. Low penetration but high frequency potential for repeats.
Source: Q: Which snack and drink categories do you buy on quick commerce? | Datum Online Grocery Study 2024 (n=2,232 snack buyers on QC)
Beauty, Personal Care & Household Essentials
BPC categories and household essentials purchased on QC
Beauty & Personal Care Breakdown
Which beauty/personal care products bought in last 3 months? (%)
Source: Q: Which beauty and personal care products do you buy on quick commerce? | Datum Online Grocery Study 2024 (n=1,276 beauty buyers on QC)
Household Essentials Breakdown
Household essentials categories purchased (%)
Source: Q: Which household essentials do you buy on quick commerce? | Datum Online Grocery Study 2024 (n=1,432 household buyers on QC)
Datum Insights
- Top 4 at 69-73%Skincare, hair, bath, and makeup are nearly tied. BPC on QC is broad-based, not driven by one sub-category.
- Health/Pharma at 56%Over half buy health products on QC. OTC pharma is a high-margin, high-frequency category with untapped upside.
- Baby Care at 49%Parents buying baby products on QC signals deep trust in delivery reliability and product authenticity.
- Household Cross-sellCleaners (63%), appliances (52%), kitchenware (48%) show QC expanding well beyond FMCG into general merchandise.
Beyond Top-Up Purchases
QC expanding beyond emergency buys
Full Purchase Category Adoption
Beyond top-up quick purchases
Source: Q: Do you do your full monthly grocery shopping on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
City-wise Full-Month Shopping
Percentage of users doing full monthly purchases
68%
Kolkata
60%
Bangalore
60%
Mumbai
59%
Chennai
58%
Ahmedabad
57%
Hyderabad
57%
Pune
53%
Delhi NCR
Source: Q: Do you do your full monthly grocery shopping on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 58% Full-Month ShiftMore than half use QC for full monthly grocery. The "emergency top-up" positioning is now a ceiling, not a floor.
- Kolkata > Delhi by 15ppKolkata at 68% vs Delhi NCR at 53%. Second-wave metros are out-adopting launch cities in full-basket conversion.
- Triple-Use Stacking58% full-month + 52% top-up + 43% unplanned: QC owns all three purchase occasions, not just one.
- Impulse as Margin Layer43% unplanned purchases ride on top of planned baskets. This incremental demand is pure margin upside for platforms.
Unplanned Purchases Rise
Impulse buying behavior on QC platforms
Change in Unplanned Purchase Behavior
Since adopting quick commerce platforms
Source: Q: Has your unplanned purchasing behavior changed since using quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
City-wise Unplanned Purchase Increase
% reporting significantly/moderately increased unplanned buys
Source: Q: Has your unplanned purchasing behavior changed since using quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 75% Say IncreasedThree-quarters report more unplanned buying since joining QC. The platform creates demand, not just fulfills it.
- Mumbai at 82%India's commercial capital leads impulse buying. High density + high income = peak impulse conditions.
- Only 5% DecreasedAlmost nobody is buying less impulsively. QC has structurally rewired shopping behavior.
- App as TriggerBrowsing, push notifications, and personalized recommendations have replaced store aisles as the impulse driver.
Source of Unplanned Purchases
Where spontaneous buys happen by channel
Primary Sources for Spontaneous Buys
Where consumers make unplanned purchases
Source: Q: What triggers your unplanned purchases on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- QC Owns Impulse 44%Quick commerce captures nearly half of all unplanned purchases, 2.6x more than Kirana stores.
- Kirana at 17%Traditional retail's historic stronghold in spontaneous buying has been cut to a sixth of the market.
- Gurgaon/Noida LeadQC apps hit 44-49% share in NCR satellite cities. These are the model markets for QC dominance.
- Supermarkets IrrelevantAt 7%, organized retail barely registers for impulse buying. QC has leapfrogged modern trade entirely.
Source of Unplanned Purchases by City
Channel share of unplanned purchases across 10 cities (%)
| Channel | National | Delhi | Gurgaon | Noida | Pune | Mumbai | Kolkata | B'lore | Chennai | Hyd | Ahm'bad |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Online Grocery (Amazon/Flipkart) |
44% | 52% | 30% | 32% | 35% | 45% | 51% | 46% | 53% | 41% | 38% |
| Quick Commerce Apps | 33% | 26% | 44% | 49% | 38% | 35% | 28% | 35% | 30% | 28% | 30% |
| Kirana Stores | 17% | 16% | 21% | 17% | 19% | 12% | 16% | 11% | 9% | 25% | 26% |
| Supermarkets | 7% | 6% | 5% | 2% | 8% | 8% | 4% | 8% | 9% | 7% | 6% |
Average Order Value
Spending patterns across QC orders
AOV Distribution
Average order value for quick commerce purchases
Source: Q: What is the average order value when you order on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
City-wise Average Order Value
Average order value by city (INR)
Source: Q: What is the average order value when you order on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 67% Spend 400+Two-thirds of QC orders exceed INR 400, indicating basket-building beyond impulse top-ups into planned grocery runs.
- Mumbai Leads at ₹541Mumbai’s AOV tops Pune by 12% (₹58 gap), reflecting higher cost of living and deeper category penetration in India’s QC pioneer city.
- West > South > NorthWestern cities (Mumbai, Ahmedabad) average ₹535 vs. North (Delhi NCR) at ₹494. Regional pricing and assortment strategies needed.
- Sub-200 Nearly DeadOnly 6% of orders fall below INR 200. The convenience-fee floor has effectively eliminated micro-basket transactions.
QC Preference by Category
Preferred delivery method by product type
Essential Categories
Quick commerce preference - staples & necessities
Source: Q: Which product categories would you continue buying on quick commerce even without discounts? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Higher-Value Categories
QC preference - discretionary & premium items
Source: Q: Which product categories would you continue buying on quick commerce even without discounts? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Grocery at 33%, 14pp LeadGrocery dominates QC preference by 14pp over OTC drugs (19%). This is the core use case that justifies dark store economics.
- OTC Drugs at 19%Pharmacy is the #2 QC-preferred category. Urgency-driven, high-margin, and repeat-purchase; this is the next growth frontier.
- Sub-10% Discretionary WallBooks (10%), toys (10%), footwear (9%), clothing (8%) cluster below 10%. QC has not cracked non-FMCG categories yet.
- Electronics at 5-8%Mobile phones (5%) and large appliances (5%) show QC is not the channel for high-ticket items. Category expansion has natural limits.
High Delivery Fees & Late Delivery Are Key Challenges
Top frustrations faced by quick commerce buyers
Key Challenges & Frustrations
What frustrates you most about quick commerce? (%)
Source: Q: What are your biggest frustrations with quick commerce platforms? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Additional Pain Points
Secondary frustrations reported by QC buyers (%)
Source: Q: What are your biggest frustrations with quick commerce platforms? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Fees > Speed at 39% vs 36%High delivery fees (39%) edge out delayed delivery (36%) as the #1 frustration. Cost visibility matters more than speed promise failures.
- 75% Face Fee or Delay PainCombined, fees (39%) + delays (36%) affect 3 in 4 buyers. These two factors alone can explain most churn behavior.
- 25% Quad-ClusterPoor customer service, limited brands, navigation issues, and bad packaging all cluster at 25%. No single operational area dominates after the top two.
- Quality Red Flag at 22%Poor quality (22%) + expired products (22%) = 44% combined freshness/quality concern. This directly threatens the grocery-first value proposition.
Sources & Methodology
A research study by Datum Intelligence — Online Grocery & Quick Commerce Consumer Survey, October 2024
Market & Consumer Data
Online survey of 3,032 online grocery buyers across 10 Indian cities (October 2024), Datum eCommerce & Quick Commerce market data, company filings, broker reports, media reports
Industry & Channel
Expert interviews with QC players, FMCG brands, logistics & payments partners, modern retail associations; Kirana shop owner survey (n=300) covering grocery, F&V, and general merchandise retailers
Definitions: Quick Commerce = delivery within 10–30 minutes via dark stores; Online Grocery = all digital grocery purchases including scheduled delivery; Kirana = traditional neighbourhood retail stores. Sample: 54% male / 46% female, ages 18–45+, online grocery buyers. Survey period: October 2024 (festive month). Data reflects publicly available information supplemented by primary research.
Cities Covered (10): Delhi-NCR (Delhi, Gurgaon, Noida), Mumbai, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune.
Value Perception
How consumers rate QC value vs kirana
QC vs Kirana: Value Perception
How consumers rate QC pricing against their local kirana store
Source: Q: How does quick commerce pricing compare to your local Kirana store? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 66% Net Positive27% "much better" + 39% "better" = two-thirds see QC as superior value to kirana. The price narrative has flipped from liability to competitive advantage.
- 10% Detractor FloorOnly 1 in 10 consumers perceive QC as worse value. The pricing objection that held back early adoption is functionally dead.
- 23% Swing Segment"About Same" consumers are the battleground. For this segment, speed and convenience tip the scale since price is already neutral.
- Promo-Driven Risk66% positive perception is built partly on aggressive discounting. If platforms cut promos to chase profitability, this number is the first to move.
Price Comparison QC vs Kirana
Category-wise price competitiveness
Category-wise Price Competitiveness
% of consumers finding QC competitive vs kirana stores
Source: Q: How does quick commerce pricing compare to your local Kirana store? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 8pp Spread, 75-83%Only 8 percentage points separate the highest (snacks) from the lowest (home care). QC has achieved near-uniform price parity with kirana across all categories.
- Fresh at 80%F&V matching packaged goods on price competitiveness despite cold-chain and wastage costs. Dark store inventory models are absorbing the margin hit.
- FMCG StrongholdSnacks (83%) and packaged food (81%) lead because MRP-controlled pricing removes kirana's negotiation advantage. QC wins on price transparency.
- Home Care Floor at 75%The weakest category still has 3 in 4 consumers finding QC competitive. Kirana's last pricing moat is eroding to a rounding error.
Platform Usage & Market Share
Which platforms consumers use most
Platform Adoption Metrics
Which QC platforms have you bought from? (%)
Source: Q: Which quick commerce platforms do you use? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Blinkit Success Drivers
Why Blinkit leads platform adoption
⚡
Speed
Fastest 10-min delivery
📦
Assortment
30,000+ product range
📱
UX
Most user-friendly app
🌏
Presence
Dominant in Delhi NCR
Datum Insights
- Blinkit at 65%, 10pp LeadBlinkit sits 10pp ahead of Zepto and Instamart (both 55%). Zomato's food delivery funnel gives Blinkit a cross-sell moat no pure-play QC can replicate.
- Zepto = Instamart at 55%Dead heat for #2. Zepto achieved parity with Swiggy's food-delivery-backed Instamart without an existing user base. Venture-funded growth is working.
- BigBasket Stuck at 50%Despite Tata backing, BigBasket trails pure QC players by 5-15pp. Scheduled-delivery DNA is a liability in a 10-minute world.
- Flipkart Minutes at 14%Late entrant at just 14% penetration vs. leaders at 55-65%. Flipkart's e-commerce traffic hasn't converted to grocery yet.
Monthly Order Distribution
How often consumers order on QC
Nearly 53% of Buyers Place More than 5 Orders Monthly On Quick Commerce
As a household how many orders are you placing each month on Quick Commerce Apps?
Source: Q: How many orders do you place on quick commerce per month? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
More than 10 Orders per Month
City-wise % of high-frequency QC buyers
Source: Q: How many orders do you place on quick commerce per month? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 53% Order 6+ MonthlyMore than half place 6+ orders per month. QC is not occasional top-up; it is a habitual weekly channel for the majority.
- Mumbai Leads at 30%Mumbai has the highest share of 10+ order power users (30.3%), followed by Kolkata (29.7%). QC maturity correlates with city-level dark store density.
- 26% Are Power UsersOne in four buyers places 11+ orders monthly. This cohort drives disproportionate GMV and is the platform profitability engine.
- Chennai Lags at 18%Chennai trails the 10+ order cohort by 12pp vs Mumbai. Southern markets need targeted frequency-building campaigns.
Delivery Time Experience
Actual delivery times reported by users
10-30 Minutes is the Average Delivery Time for ~72% Buyers
What is average delivery time on quick commerce platforms (Zepto, Blinkit, Swiggy Instamart) for your orders?
Source: Q: What is the average delivery time you experience on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 73% Within 30 Min11% sub-10 + 44% in 10-20 + 29% in 20-30 = nearly three-quarters get deliveries within the promised window. The "10-minute" brand promise is operationally real.
- 44% Sweet SpotThe 10-20 minute bracket is the single largest cohort. This is the zone where speed perception is high and delivery cost is manageable.
- 15% Breach 30 Min1 in 7 orders exceeds 30 minutes. For a category built on speed, every breach is a churn risk and a kirana win-back opportunity.
- Sub-10 Still NicheOnly 11% experience sub-10 minute delivery. The marketing promise of "10 minutes" runs ahead of operational reality for 89% of users.
Delivery Reliability
Order accuracy and fulfillment quality
How Often Do Buyers Face Delivery Delays?
Frequency of delivery delays experienced on QC platforms
Source: Q: How often do you experience delivery delays on quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 66% Face DelaysTwo-thirds of users experience delays (sometimes + often + always). The speed promise is aspirational, not consistent.
- 27% Chronic Delays13% "often" + 14% "always" = over a quarter face persistent delays. This is a retention red flag and a competitor switching trigger.
- Only 6% Never DelayedJust 1 in 17 users reports zero delays. Perfect execution is nearly non-existent, even for a speed-first category.
- 34% Reliable Floor"Never" (6%) + "Rarely" (28%) = one-third find QC reliable. Platforms need to double this to match e-commerce reliability benchmarks.
App Satisfaction & UX
User experience ratings across platforms
Overall App Satisfaction
How satisfied are you with QC app interface?
Source: Q: How satisfied are you with the quick commerce app experience? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 75% Satisfied41% satisfied + 34% very satisfied = three-quarters rate the app experience positively. UX is no longer a friction point for QC adoption.
- 8.4:1 Sat Ratio76% positive vs 9% negative yields an 8.4:1 satisfaction ratio. This is world-class for a 3-year-old consumer app category.
- 16% Neutral = OpportunityThe neutral segment is persuadable. Small UX wins (faster search, smarter recommendations) can convert them to promoters.
- 9% Detractor FloorOnly 9% are dissatisfied. The app experience is not driving churn; delivery and pricing are the bigger levers.
Customer Priority Rankings
What matters most to QC shoppers
Top 7 Most Important Aspects
Top 7 Most Important Aspects (1-5 scale)
Source: Q: What aspects of quick commerce are most important to you? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Bottom 7 Least Important Aspects
Bottom 7 Least Important Aspects (1-5 scale)
Source: Q: What aspects of quick commerce are most important to you? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Price Dead Last at 1.8Price of products ranks #14 out of 14 aspects (1.8/5). Consumers have accepted QC pricing; the value war is already won.
- Tracking Tops at 4.0Order tracking & delivery leads all priorities. Visibility into order status matters more than the speed itself.
- Tight 3.5-4.0 Top BandTop 7 aspects cluster within 0.5 points (3.5-4.0). No single factor dominates; QC must execute across the board.
- Speed Only 3.2Speed of delivery ranks #12 out of 14. The 10-minute promise is table stakes, not a differentiator. Trust and UX matter more.
Customer Loyalty
Platform stickiness and switching behavior
61% Buyers Are Very or Extremely Loyal to Their QC Platform
How loyal are you to your primary quick commerce platform?
Source: Q: How loyal are you to your primary quick commerce platform? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 61% Very/Extremely Loyal36% very + 25% extremely loyal = nearly two-thirds are deeply committed to their primary platform. Switching costs are real.
- Only 11% At-Risk"Not loyal" (2%) + "Slightly loyal" (9%) = just 11% are flight risks. The loyalty base is structurally sound.
- 26% Moderate = SwingThe "moderately loyal" segment is the battleground. These users can be pulled by a better promo or a single bad delivery experience.
- Loyalty Locks In UsageHigh loyalty correlates with high order frequency. The 61% loyal core likely overlaps with the 53% who order 6+ times monthly.
Price Sensitivity
How price-conscious are QC buyers
Switch Likelihood on Price Increase
If prices increase by 10%, how likely to switch? (%)
Source: Q: How likely are you to switch platforms if prices increase? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Most Compelling Promotions
Most compelling promotions (%)
Source: Q: Which promotions are most compelling for your quick commerce purchases? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 61% Will Switch on 10% Hike35% likely + 26% very likely = nearly two-thirds would switch platforms for just a 10% price increase. Pricing power is fragile.
- Free Delivery Wins at 61%Free delivery is the #1 most compelling promotion, ahead of cashback (53%) and BOGO (44%). Delivery fees are the most visible cost lever.
- Only 12% Price-Immune5% very unlikely + 7% unlikely to switch = just 12% are truly price-insensitive. The "convenience-at-any-cost" user barely exists.
- Cashback > DiscountsCashback (53%) beats percentage discounts (43%) by 10pp. Perceived future value outperforms immediate price cuts in driving loyalty.
Price Checking Behavior
Cross-platform comparison habits
Price Comparison Habits
Do you compare prices across platforms?
55%
Always Check
42%
Sometimes Check
3%
Never Check
Source: Q: How often do you compare prices across platforms before purchasing? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Always Check Price - By City
Always Check Price - By City (%)
Source: Q: How often do you compare prices across platforms before purchasing? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 97% Compare Prices55% always + 42% sometimes = virtually everyone compares. True platform loyalty without price-checking is a myth at 3%.
- Ahmedabad Most Price-SavvyAhmedabad leads at 64% "always check" vs Pune at 48%. Western India shows the strongest comparison shopping behavior.
- 16pp City SpreadAhmedabad (64%) to Pune (48%) = 16pp range. Price sensitivity is culturally and regionally driven, not uniform across metros.
- Bangalore Least at 50%Bangalore has the lowest "always check" rate. Higher disposable income and tech-savvy users correlate with lower price friction.
Price Comparison Triggers
What prompts consumers to compare prices
Triggers for Price Comparison
When do you compare prices across platforms?
Source: Q: What triggers you to compare prices across platforms? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 38% Price Perception"Prices seem higher" is the #1 trigger. Comparison shopping is reactive, not habitual. Platforms that maintain price perception win default status.
- 23% Cart-Value DrivenNearly a quarter only compare on high-value carts. Small baskets get zero scrutiny; large baskets get full comparison. AOV thresholds matter.
- 19% Onboarding PhaseFirst-few-orders comparison drops off with habit formation. The first 5 orders are the trust-building window where pricing must be sharp.
- Fees > Products at 9%High delivery fees trigger comparison for 9%, separate from product pricing. Visible fee structures are a distinct churn driver.
Sources & Methodology
A research study by Datum Intelligence — Online Grocery & Quick Commerce Consumer Survey, October 2024
Market & Consumer Data
Online survey of 3,032 online grocery buyers across 10 Indian cities (October 2024), Datum eCommerce & Quick Commerce market data, company filings, broker reports, media reports
Industry & Channel
Expert interviews with QC players, FMCG brands, logistics & payments partners, modern retail associations; Kirana shop owner survey (n=300) covering grocery, F&V, and general merchandise retailers
Definitions: Quick Commerce = delivery within 10–30 minutes via dark stores; Online Grocery = all digital grocery purchases including scheduled delivery; Kirana = traditional neighbourhood retail stores. Sample: 54% male / 46% female, ages 18–45+, online grocery buyers. Survey period: October 2024 (festive month). Data reflects publicly available information supplemented by primary research.
Cities Covered (10): Delhi-NCR (Delhi, Gurgaon, Noida), Mumbai, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune.
Spending Changes After Quick Commerce
Impact on household spending patterns
Spending Shift Across Channels
How has your spending changed since using Quick Commerce? (%)
Source: Q: How has your spending shifted across grocery channels since using quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
46%
Kirana Shops Hit Most
36%
Hypermarket Erosion
28%
Beauty Retailers Drop
- Kirana Hit Hardest at 46%Nearly half of QC buyers have cut kirana spending, 10pp ahead of hypermarkets (36%). Neighborhood retail bears the heaviest displacement burden.
- Hypermarkets Eroding at 36%One-third of buyers reduced hypermarket spending. The weekly stock-up trip is losing relevance as QC handles the same basket in 10 minutes.
- E-commerce Not Immune at 34%Amazon/Flipkart losing 34% of grocery buyers to QC. Speed beats selection for everyday essentials, even against marketplace giants.
- Multi-Channel DisruptionAll four retail channels report 28%+ erosion. QC is not stealing from one channel; it is compressing the entire offline-to-online grocery funnel.
Complete Channel Abandonment
Consumers leaving traditional channels
Channel Abandonment Rates
Have you completely stopped buying from any channel? (%)
Source: Q: Have you stopped buying from any grocery channel since using quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Stopped Kirana Buying - By City
Geographic variation in channel abandonment (%)
Source: Q: Have you stopped buying from any grocery channel since using quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Only 5-6% Full AbandonmentDespite 46% spending cuts, only 5-6% fully abandoned any channel. Most buyers are reducing, not eliminating. Kirana still has a window to fight back.
- Hyderabad Leads Kirana Exit at 8%Hyderabad's 8% kirana abandonment rate is 2x Mumbai's 4%. Markets with stronger QC penetration show faster channel abandonment.
- Hypermarkets = Beauty in DangerBoth hypermarkets and beauty retailers at 6% abandonment. Format stores face the same existential risk as kirana for convenience categories.
- Metro vs. Tier-1 GapSouthern cities (Hyderabad 8%, Bangalore 5%) outpace northern metros (Delhi 5%) in kirana abandonment, reflecting QC's stronger dark-store density in the south.
Future Buying Intentions
Where consumers plan to shop next
Channel Growth Projections
Which channels will you increase buying from in next 6 months? (%)
Source: Q: How do you expect your spending across grocery channels to change in the next year? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 76% Plan to Increase QC SpendThree-quarters of buyers intend to spend more on QC. This is not a plateau; the spending shift is still accelerating.
- 21pp QC-Kirana Intent Gap76% plan to increase QC vs. 55% for kirana. The forward-looking gap is wider than the current spending gap, signaling deepening erosion ahead.
- Kirana Lowest Growth Intent at 55%Kirana ranks dead last among all channels for future spend increase. Even hypermarkets (52%) are within striking distance of kirana's growth outlook.
- E-commerce Still Strong at 66%Amazon/Flipkart at 66% growth intent sits between QC and kirana. Online channels collectively command higher future wallet share than offline.
Kirana Purchase Migration
Shift from kirana to quick commerce
Purchase Volume Migration
What % of your Kirana purchases have moved to Quick Commerce?
Source: Q: What percentage of your Kirana purchases have moved to quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- 82% Moved 25%+ of Kirana BasketOver four-fifths of QC buyers have shifted at least a quarter of their kirana purchases. This is structural migration, not trial behavior.
- 28% Near-Complete Switch at 75%+More than 1 in 4 buyers have moved 75%+ of kirana purchases to QC. For this cohort, kirana is already a backup channel, not the primary one.
- Sweet Spot at 50-75% Migration31% of buyers sit in the 50-75% band, the largest single cohort. These are the battleground customers who could tip either way.
- Only 7% Minimal MigrationJust 7% moved less than 10% of purchases. The "QC-for-emergencies-only" user barely exists anymore.
Kirana Store Sales Decline
Revenue impact on traditional retail
Sales Impact Assessment
How have Kirana store sales changed? (Store owners, %)
Source: Q: How has quick commerce affected your store sales? | Datum Online Grocery Study 2024 (n=300 Kirana store owners in 10 cities)
Datum Insights
67%
Sales Declining
56%
Significant Decline (26%+)
20%
Stable / Growing
- 67% of Kiranas Report Sales DeclineTwo-thirds of store owners confirm revenue loss. This is not perception; it is P&L reality across the kirana ecosystem.
- 33% Lost 26%+ RevenueA third of kiranas have lost over a quarter of their sales. At this level, store economics break; fixed costs remain while topline shrinks.
- Only 11% GrowingJust 11% of kiranas report any growth (4%+4%+3%). The rising-tide narrative does not apply here; QC growth is kirana's loss.
- 20% "Stable" Is TemporaryThe 20% reporting no change are likely next in line. With 76% of consumers planning to increase QC spend, today's stable kirana is tomorrow's declining one.
Most Impacted Categories
Product categories hit hardest by QC
Most Impacted Categories
According to you which of the following category is most impacted by quick commerce? (%)
Source: Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Other Impacted Categories
Lower-frequency and niche categories also feeling QC pressure (%)
Source: Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
- Grocery at 51%, the Core Under AttackOver half of buyers shifted staple groceries (rice, wheat, pulses) to QC. This is the highest-margin, highest-frequency kirana category and its loss is existential.
- Fresh F&V at 48%, Trust Barrier BrokenConsumers now trust QC for perishables. Fresh produce migration at 48% means the "touch-and-feel" advantage kiranas relied on is eroding fast.
- Festive at 38%, Seasonal Spike LostFestive items (38%) moving to QC means kiranas are losing their highest-margin seasonal window. Diwali/Holi stock-ups now happen via app.
- 33% Triple Cluster: Frozen, Beverages, EggsThree categories cluster at 33%, all daily/weekly replenishment items. QC's speed advantage is strongest in "need-it-now" categories.
Kirana Long-term Threat Perception
How kirana owners view the future
Long-term Threat Assessment
Do Kirana store owners see Quick Commerce as a long-term threat?
74%
View as
Long-term Threat
Long-term Threat
24%
Not a
Long-term Threat
Long-term Threat
2%
Don't Know
Source: Q: Do you see quick commerce as a long-term threat to your business? | Datum Online Grocery Study 2024 (n=300 Kirana store owners in 10 cities)
Datum Insights
- 74% See QC as Existential ThreatThree-quarters of kirana owners view QC as a long-term business threat. This is not anxiety; it matches the 67% already reporting sales declines.
- Only 24% Remain OptimisticLess than a quarter believe QC is not a lasting threat. This minority likely operates in categories or locations where QC penetration is still low.
- Perception Matches Reality74% threat perception aligns with 82% buyer migration data. Kirana owners are accurately reading the market signals, not overreacting.
- 2% "Don't Know" = Decision ParalysisThe tiny 2% unsure cohort signals most owners have already formed a clear view. The debate is over; adaptation is the only remaining question.
Commentary on Impact
Industry voices on quick commerce's effect on kirana stores
Source: Press Release, Interviews
Market Value Migration
Value shifting from offline to online
Key Finding
Total Kirana Sales Moving to QC (2024)
$1.28B
Total Kirana Sales Moving to QC
79%
Quick Commerce
(Primary destination)
(Primary destination)
21%
Other Channels
Source: Q: What percentage of Kirana sales have migrated to quick commerce? | Datum Online Grocery Study 2024 (n=3,032 online grocery buyers in 10 cities)
Datum Insights
46%
Reduced Kirana Buying
5%
Completely Stopped
82%
Moved 25%+ to QC
- $1.28B Kirana-to-QC Value ShiftOver a billion dollars in annual kirana sales have migrated to QC. This is the first quantified estimate of the structural value transfer from traditional to digital grocery.
- 79% Goes Directly to QCOf the total kirana sales lost, 79% flows directly to quick commerce platforms. Only 21% leaks to other channels. QC is the primary beneficiary, not e-commerce broadly.
- 46% + 5% = 51% Total Impact46% reduced spending plus 5% complete abandonment means over half of all QC buyers have materially changed their kirana relationship. This is a one-way door.
- 82% Moved 25%+ of BasketThe migration is not marginal. Four-fifths of buyers have shifted a quarter or more of their kirana basket, making QC a primary channel, not a supplement.
Sources & Methodology
A research study by Datum Intelligence — Online Grocery & Quick Commerce Consumer Survey, October 2024
Market & Consumer Data
Online survey of 3,032 online grocery buyers across 10 Indian cities (October 2024), Datum eCommerce & Quick Commerce market data, company filings, broker reports, media reports
Industry & Channel
Expert interviews with QC players, FMCG brands, logistics & payments partners, modern retail associations; Kirana shop owner survey (n=300) covering grocery, F&V, and general merchandise retailers
Definitions: Quick Commerce = delivery within 10–30 minutes via dark stores; Online Grocery = all digital grocery purchases including scheduled delivery; Kirana = traditional neighbourhood retail stores. Sample: 54% male / 46% female, ages 18–45+, online grocery buyers. Survey period: October 2024 (festive month). Data reflects publicly available information supplemented by primary research.
Cities Covered (10): Delhi-NCR (Delhi, Gurgaon, Noida), Mumbai, Bangalore, Hyderabad, Ahmedabad, Chennai, Kolkata, Pune.
Key Definitions
Terminology used in this report
Retail Sales
Retail involves selling consumer goods, excluding travel, cars, prescription drugs, restaurant sales, and gasoline sales. The retail market can be subdivided into in-store purchases, where customers physically visit retail locations to buy products, and online purchases, where transactions are completed through e-commerce platforms and digital channels.
Online Retail Sales
Online retail refers to the process of purchasing goods and services through the Internet. This encompasses products purchased via desktop computers, laptops, tablets, mobile phones, and other connected devices. Online retail sales are synonymous with Business-to-Consumer (B2C) e-Commerce transactions. This definition includes purchases made across all digital channels, including websites, mobile apps, and social commerce platforms.
Online Buyers
Online buyers are defined as people who have completed at least one online purchase within the past 12 months. This metric captures active digital consumers who have moved beyond browsing to actual transaction completion, serving as a key indicator of e-commerce adoption and digital commerce penetration in a given market.
Online Retail Sales Via Mobile
Online retail sales by mobile refer to purchases made through mobile devices, including smartphones and tablets. This metric is particularly significant in the Indian market where mobile-first shopping behaviour dominates, with the majority of quick commerce and online grocery transactions originating from mobile applications rather than desktop browsers.
Category Definitions
Product categories referenced in this report