According to PayNXT360, the quick commerce market in India is expected to grow by 71.5% annually, reaching US$8,233.9 million by 2025. The quick commerce market in the country has experienced robust...
According to PayNXT360, the quick commerce market in India is expected to grow by 71.5% annually, reaching US$8,233.9 million by 2025. The quick commerce market in the country has experienced robust growth during 2020-2024, achieving a CAGR of 65.3%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 69.2% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$4,800.0 million to approximately US$67,549.4 million. Key Trends & Drivers 1. Position quick commerce as a core growth engine within diversified delivery platforms • Quick commerce has moved from being an experimental side business to a core growth pillar for India’s large food-tech and delivery platforms. Eternal (Zomato + Blinkit) now reports that Blinkit’s quick-commerce business is central to its revenue growth and, at times, has overtaken the legacy food-delivery vertical in net order value. • Swiggy identifies Instamart, along with its core food delivery business, as a key growth pillar. In its quarterly reports and management discussions, the company highlights quick commerce as a key driver of revenue growth, while ongoing scrutiny remains on its overall financial losses. Zepto, operating as a standalone quick-commerce specialist, is scaling aggressively and has attracted repeated large funding rounds, with recent coverage emphasizing its role as a top-tier consumer internet brand rather than a niche grocery app. • India’s e-retail market has reached a substantial scale, and online grocery is one of the fastest-growing components, giving platforms a large addressable base for frequent, small-ticket orders. Digital payments infrastructure (UPI) has reduced friction for micro-transactions, supporting high-frequency ordering behavior that quick commerce depends on. UPI transaction volumes and values continued to grow strongly through 2024 and 2025, further solidifying this payment method for everyday purchases. • Traditional e-grocery models (next-day or scheduled delivery) are facing direct competition: media coverage notes that BigBasket’s performance has come under pressure as Blinkit, Zepto, and Instamart capture more share in fast delivery, pushing incumbents to respond. • Capital allocation within Eternal and Swiggy is likely to continue tilting towards quick commerce, as store rollouts, marketing, and technology investments for Blinkit and Instamart are being explicitly highlighted in earnings reports and news coverage. • Standalone specialists like Zepto will remain acquisition or IPO candidates. Still, they will compete in a field dominated by platform players that can cross-subsidise quick commerce using profits from other verticals (food delivery, B2B, advertising). For senior executives in India, this means quick commerce will not remain a peripheral channel; it will increasingly influence pricing, assortment, and customer ownership strategies across the broader retail portfolio. 2. Push quick commerce beyond metros into Tier-2/3 cities and smaller catchments • Quick commerce is steadily extending from top metros into Tier-2 and Tier-3 cities, as platforms test smaller catchments with a lighter dark-store footprint and adjusted delivery promises. • Articles tracking the sector note that Zepto is explicitly targeting Tier-2 cities after its recent funding, with a plan to scale its store network well beyond the largest metros. Commentaries on the Indian e-retail market suggest that smaller cities are now accounting for the majority of new online shoppers, and quick commerce players are adapting their expansion strategies accordingly. • Tier 2 and Tier 3 locations now contribute more than half of India’s online demand. They are expected to gain further share by 2030, making them unavoidable growth markets for any scaled retail or e-commerce player. Smartphone penetration, affordable data, and UPI adoption are no longer metro-specific phenomena; payment and discovery frictions in smaller cities are now comparable to those in major urban centers. • Local logistics capacity is catching up: media reports describe the emergence of hyperlocal warehouses and small fulfilment centres in both urban and Tier-2 locations, built specifically to serve 10–30 minute delivery promises. • Expansion into smaller cities will likely introduce a more segmented operating model: o Delivery timelines may be slightly extended due to a lower concentration of fulfillment centers outside major metros. o The product mix will likely emphasize everyday essentials and regionally favored brands. o Marketing efforts should be tailored to reflect local price sensitivity and household purchasing behavior. • The competitive set will broaden beyond national platforms, as local grocers onboarding to ONDC or building their own rapid-delivery models will coexist with Blinkit, Zepto, Instamart, and BigBasket, increasing fragmentation at the city level. • For executives, this means India’s quick-commerce story will increasingly be written outside the top eight metros, and success will depend on configuring city-level economics rather than applying a single national template. 3. Tighten unit economics through dark-store optimisation, pricing changes, and disciplined expansion • After an initial phase of heavy discounting and aggressive store rollouts, Indian quick-commerce players are now placing greater emphasis on contribution margin and path to profitability. • Coverage of Blinkit highlights that its losses have narrowed even as revenue has grown, with Eternal signalling that quick commerce is moving closer to breakeven at the unit level. Swiggy has publicly announced a revised timeline for Instamart’s breakeven, and public markets are closely tracking its quick-commerce loss trajectory following the IPO. • Public-market scrutiny: Eternal’s and Swiggy’s listings mean investors now focus on profitability and cash burn, not just top-line growth. Articles on their quarterly results consistently link profit pressure to store ramp-ups and marketing spend for Blinkit and Instamart. • Rising competition: BigBasket’s financial performance and the entry of Amazon Fresh, Flipkart Minutes, and others into faster delivery have increased the need to manage discounts and delivery costs carefully. Real-estate and labour considerations: Reporting on hyperlocal warehousing emphasizes that demand for small urban fulfillment spaces in India has surged, which can push up operating costs unless store networks are tightly optimized. • Customers are likely to experience a reduction in broad-based discounts, with platforms focusing more on targeted promotions such as category-based deals or exclusive offers for subscription members. In addition, clearer minimum order values and platform fees are expected to be introduced to help sustain margins. • Networks will be rationalized: underperforming dark stores are expected to be consolidated, while high-throughput locations and time bands receive more investment in automation, inventory depth, and in-store picking efficiency. Executives should plan for quick commerce that is less subsidy-driven and more disciplined, with profitability targets increasingly baked into category, assortment, and delivery-fee decisions. 4. Broaden the quick-commerce proposition beyond top-up groceries into prepared food and higher-margin categories • Indian quick-commerce platforms are expanding beyond staple groceries into prepared food, snacks, beverages, and other higher-margin or impulse categories. BigBasket has announced plans to roll out a nationwide 10-minute food delivery service by FY 2026, utilizing its dark-store network, which will be positioned alongside its core grocery offering. • Eternal and Swiggy are developing quick-food and café formats within their Blinkit and Instamart ecosystems (for example, quick-food concepts such as Blinkit Bistro or Zepto-style café offerings), using existing fulfilment nodes to add new use cases. Sector overviews highlight that platforms are incorporating beauty, personal care, and other non-food SKUs to boost basket value and differentiate themselves from traditional e-grocery. • Online grocery demand is growing quickly, but competition on basic staples is intense and margins are thin; adding higher-margin categories (ready-to-eat, beverages, beauty, small electronics) improves unit economics. Festive and event-driven consumption patterns in India favour impulse and convenience purchases. Recent coverage of festive seasons has shown strong online demand for electronics, beauty, and gifting, which quick commerce can serve with short lead times. • Conglomerate-backed players (Tata via BigBasket, as well as large marketplaces like Amazon and Flipkart) have access to extensive product portfolios and supplier relationships, making category expansion operationally feasible. • Quick commerce is likely to evolve from being viewed as a “top-up grocery” to a broader convenience-commerce channel covering food, ready-to-eat items, beverages, beauty products, and select discretionary items. • Category teams will need to manage assortment for both frequency (essentials) and margin (non-food and prepared food), while ensuring that inventory complexity does not undermine picking speed and fulfilment reliability. This broadening will also open up more monetization levers, including brand placements, in-app visibility, sampling, and co-developed SKUs, which are likely to become more important for suppliers seeking to win on “instant” digital shelves. Competitive Landscape Over the next 2-4 years, India’s quick-commerce market is expected to transition from high-growth to more disciplined growth. Forecasts suggest the market could grow to US$30 billion by FY2030, driven by expansions into Tier 2 and 3 cities, broader category penetration beyond groceries, and improved unit economics. Growth will likely be concentrated in players with scale, logistics efficiency and integrated ecosystems, while smaller standalone entrants may face mounting pressure. The competitive landscape may evolve into a multi-tier structure, with national incumbents dominating metropolitan areas, large retail-backed challengers operating in broader geographies, and niche players focusing on specialized categories. Current State of the Market • India’s quick commerce sector has expanded swiftly in recent years, transitioning from the early “10-minute delivery” model to an established and distinct fulfilment channel. Recent estimates suggest that the segment’s gross order value (GOV) reached around ₹64,000 crore (≈US$7.6 billion) in FY 2025, representing more than a twofold increase compared with the previous year. • The sector now contributes nearly one-third of online FMCG purchases in certain urban households, underscoring strong consumer adoption. While penetration remains modest, especially in non-metro markets, the growth trajectory, driven by rapid delivery infrastructure, is clear. Key Players and New Entrants • A handful of players dominate the competitive field. Blinkit, owned by Eternal Limited (formerly Zomato), leads in many urban markets. Zepto has established a strong position and is backed by substantial funding rounds. • Swiggy Instamart is the rapid delivery arm of Swiggy Limited and is expanding its dark-store network. Meanwhile, large retail ecosystem players such as JioMart and BigBasket (via the Tata Group) are entering or scaling quick-commerce capabilities, signaling a growing second tier of competition. Recent Launches, Mergers, and Acquisitions • The sector remains more characterised by internal build-outs and funding than large M&A activity. For instance, in early 2025, Swiggy committed about US$115 million to its supply chain arm to accelerate the growth of Instamart. • Meanwhile, BigBasket has outlined plans to introduce a nationwide “10-minute food delivery” service by March 2026, drawing on its network of dark stores and support from the Tata Group ecosystem. The rollout of the fashion-quick-commerce service “Ajio Rush” by Reliance Retail further illustrates category expansion via quick-commerce. This report provides a detailed data-centric analysis of the quick commerce industry in India offering comprehensive coverage of both overall and quick commerce markets. It includes more than 100+ KPIs, covering gross merchandise value, gross merchandise volume, average order value, and order frequency. The report offers an in-depth analysis of quick commerce, including product type, payment mode, age group, location tier, business model, and delivery time. It further categorizes the market by revenue streams (advertising, delivery fee, and subscription-based models). In addition, the analysis captures consumer demographics by age and location alongside behavioral indicators such as subscription uptake and average delivery time. Collectively, these datasets provide a comprehensive view of market size, consumer behavior, and operational efficiency within the quick commerce ecosystem. PayNXT360’s research methodology is based on industry best practices. It's unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
This report provides a detailed data-driven analysis of the quick commerce market in India, focusing on the rapid delivery ecosystem and its growth trajectory. It examines key market segments, operational models, and consumer behavior shaping the evolution of instant delivery services: • India Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • India Quick Commerce Market Segmentation by Product Type -- Groceries and Staples -- Fruits and Vegetables -- Snacks and Beverages -- Personal Care and Hygiene -- Pharmaceuticals and Health Products -- Home Décor -- Clothing and Accessories -- Electronics -- Others • India Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • India Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • India Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • India Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • India Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • India Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • India Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • India Quick Commerce Operational Metrics by Product Type -- Gross Merchandise Value by Product Type -- Gross Merchandise Volume by Product Type -- Average Order Value by Product Type -- Order Frequency by Product Type • India Quick Commerce Operational Metrics by Payment Mode -- Gross Merchandise Value by Payment Mode -- Gross Merchandise Volume by Payment Mode -- Average Order Value by Payment Mode • India Quick Commerce Operational Metrics by Age Group -- Gross Merchandise Value by Age Group -- Gross Merchandise Volume by Age Group -- Average Order Value by Age Group • India Quick Commerce Operational Metrics by Location Tier -- Gross Merchandise Value by Location Tier -- Gross Merchandise Volume by Location Tier -- Average Order Value by Location Tier -- Order Frequency by Location Tier • India Quick Commerce Operational Metrics by Business Model -- Gross Merchandise Value by Business Model -- Gross Merchandise Volume by Business Model -- Average Order Value by Business Model • India Quick Commerce Operational Metrics by Delivery Time -- Gross Merchandise Value by Delivery Time -- Gross Merchandise Volume by Delivery Time -- Average Order Value by Delivery Time -- Order Frequency by Delivery Time
• Comprehensive Market Intelligence: Gain a holistic understanding of the overall quick commerce with detailed operational metrics such as gross merchandise value, gross merchandise volume, average order value, and order frequency across key product categories. • Granular Segmentation and Cross-Analysis: Explore the fast-growing quick commerce ecosystem through detailed segmentation by product type, payment mode, age group, location tier, business model, and delivery time, providing data into evolving consumer behavior and purchasing dynamics. • Consumer Behavior and Ecosystem Readiness: Understand how demographics and payment method adoption are shaping consumer preferences and driving the expansion of instant delivery services in both urban and semi-urban markets. • Data-Driven Forecasts and KPI Tracking: Access a comprehensive dataset of 100+ key performance indicators (KPIs) with historical and forecast data through 2029, offering visibility into growth drivers, market trends, and investment opportunities across the quick commerce sector. • Decision-Ready Databook Format: Presented in a structured, data-centric format compatible with analytical and financial modeling, the Databook enables quick commerce companies, retailers, investors, and logistics partners to make informed, evidence-based strategic decisions.
1. About this Report 1.1 Summary 1.2 Methodology 1.3 Definitions 1.4 Disclaimer 2. India Quick Commerce Industry Attractiveness 2.1 India Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 India Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 India Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 India Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 India Quick Commerce – Market Share Analysis by Key Players, 2024 3. India Quick Commerce Operational KPIs 3.1 India Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 India Quick Commerce Revenue Structure, Composition, and Growth Analysis by Segment, 2024 3.2.1 Advertising Revenue, 2020-2029 3.2.2 Delivery Fee Revenue, 2020-2029 3.2.3 Subscription Revenue, 2020-2029 4. India Quick Commerce Analysis by Product Type 4.1 India Quick Commerce Segment Share by Product Type, 2024 4.2 India Quick Commerce Analysis by Groceries & Staples: Market Size and Forecast, 2020-2029 4.2.1 Groceries & Staples- Gross Merchandise Value Trend Analysis, 2020-2029 4.2.2 Groceries & Staples- Gross Merchandise Volume Trend Analysis, 2020-2029 4.2.3 Groceries & Staples- Average Order Value Trend Analysis, 2020-2029 4.2.4 Groceries & Staples- Order Frequency Trend Analysis, 2020-2029 4.3 India Quick Commerce Analysis by Fruits & Vegetables: Market Size and Forecast, 2020-2029 4.3.1 Fruits & Vegetables- Gross Merchandise Value Trend Analysis, 2020-2029 4.3.2 Fruits & Vegetables- Gross Merchandise Volume Trend Analysis, 2020-2029 4.3.3 Fruits & Vegetables- Average Order Value Trend Analysis, 2020-2029 4.3.4 Fruits & Vegetables- Order Frequency Trend Analysis, 2020-2029 4.4 India Quick Commerce Analysis by Snacks & Beverages: Market Size and Forecast, 2020-2029 4.4.1 Snacks & Beverages- Gross Merchandise Value Trend Analysis, 2020-2029 4.4.2 Snacks & Beverages- Gross Merchandise Volume Trend Analysis, 2020-2029 4.4.3 Snacks & Beverages- Average Order Value Trend Analysis, 2020-2029 4.4.4 Snacks & Beverages- Order Frequency Trend Analysis, 2020-2029 4.5 India Quick Commerce Analysis by Personal Care & Hygiene: Market Size and Forecast, 2020-2029 4.5.1 Personal Care & Hygiene- Gross Merchandise Value Trend Analysis, 2020-2029 4.5.2 Personal Care & Hygiene- Gross Merchandise Volume Trend Analysis, 2020-2029 4.5.3 Personal Care & Hygiene- Average Order Value Trend Analysis, 2020-2029 4.5.4 Personal Care & Hygiene- Order Frequency Trend Analysis, 2020-2029 4.6 India Quick Commerce Analysis by Pharmaceuticals & Health Products: Market Size and Forecast, 2020-2029 4.6.1 Pharmaceuticals & Health Products- Gross Merchandise Value Trend Analysis, 2020-2029 4.6.2 Pharmaceuticals & Health Products- Gross Merchandise Volume Trend Analysis, 2020-2029 4.6.3 Pharmaceuticals & Health Products- Average Order Value Trend Analysis, 2020-2029 4.6.4 Pharmaceuticals & Health Products- Order Frequency Trend Analysis, 2020-2029 4.7 India Quick Commerce Analysis by Home Décor: Market Size and Forecast, 2020-2029 4.7.1 Home Décor- Gross Merchandise Value Trend Analysis, 2020-2029 4.7.2 Home Décor- Gross Merchandise Volume Trend Analysis, 2020-2029 4.7.3 Home Décor- Average Order Value Trend Analysis, 2020-2029 4.7.4 Home Décor- Order Frequency Trend Analysis, 2020-2029 4.8 India Quick Commerce Analysis by Clothing & Accessories: Market Size and Forecast, 2020-2029 4.8.1 Clothing & Accessories- Gross Merchandise Value Trend Analysis, 2020-2029 4.8.2 Clothing & Accessories- Gross Merchandise Volume Trend Analysis, 2020-2029 4.8.3 Clothing & Accessories- Average Order Value Trend Analysis, 2020-2029 4.8.4 Clothing & Accessories- Order Frequency Trend Analysis, 2020-2029 4.9 India Quick Commerce Analysis by Electronics: Market Size and Forecast, 2020-2029 4.9.1 Electronics- Gross Merchandise Value Trend Analysis, 2020-2029 4.9.2 Electronics- Gross Merchandise Volume Trend Analysis, 2020-2029 4.9.3 Electronics- Average Order Value Trend Analysis, 2020-2029 4.9.4 Electronics- Order Frequency Trend Analysis, 2020-2029 4.10 India Quick Commerce Analysis by Other Product Category: Market Size and Forecast, 2020-2029 4.10.1 Other Product Category- Gross Merchandise Value Trend Analysis, 2020-2029 4.10.2 Other Product Category- Gross Merchandise Volume Trend Analysis, 2020-2029 4.10.3 Other Product Category- Average Order Value Trend Analysis, 2020-2029 4.10.4 Other Product Category- Order Frequency Trend Analysis, 2020-2029 5. India Quick Commerce Analysis by Payment Method 5.1 India Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 India Quick Commerce Analysis by Instant Bank Transfer: Market Size and Forecast, 2020-2029 5.2.1 Instant Bank Transfer- Gross Merchandise Value Trend Analysis, 2020-2029 5.2.2 Instant Bank Transfer- Gross Merchandise Volume Trend Analysis, 2020-2029 5.2.3 Instant Bank Transfer- Average Order Value Trend Analysis, 2020-2029 5.3 India Quick Commerce Analysis by Wallets & Digital Payments: Market Size and Forecast, 2020-2029 5.3.1 Wallets & Digital Payments- Gross Merchandise Value Trend Analysis, 2020-2029 5.3.2 Wallets & Digital Payments- Gross Merchandise Volume Trend Analysis, 2020-2029 5.3.3 Wallets & Digital Payments- Average Order Value Trend Analysis, 2020-2029 5.4 India Quick Commerce Analysis by Credit & Debit Cards: Market Size and Forecast, 2020-2029 5.4.1 Credit & Debit Cards- Gross Merchandise Value Trend Analysis, 2020-2029 5.4.2 Credit & Debit Cards- Gross Merchandise Volume Trend Analysis, 2020-2029 5.4.3 Credit & Debit Cards- Average Order Value Trend Analysis, 2020-2029 5.5 India Quick Commerce Analysis by Cash on Delivery: Market Size and Forecast, 2020-2029 5.5.1 Cash on Delivery- Gross Merchandise Value Trend Analysis, 2020-2029 5.5.2 Cash on Delivery- Gross Merchandise Volume Trend Analysis, 2020-2029 5.5.3 Cash on Delivery- Average Order Value Trend Analysis, 2020-2029 6. India Quick Commerce Analysis by Age Group 6.1 India Quick Commerce Segment Share by Age Group, 2024 6.2 India Quick Commerce Analysis by Gen Z (15–25) Age Group: Market Size and Forecast, 2020-2029 6.2.1 Gen Z (15–25) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.2.2 Gen Z (15–25) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.2.3 Gen Z (15–25) Age Group- Average Order Value Trend Analysis, 2020-2029 6.3 India Quick Commerce Analysis by Millennials (26–39) Age Group: Market Size and Forecast, 2020-2029 6.3.1 Millennials (26–39) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.3.2 Millennials (26–39) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.3.3 Millennials (26–39) Age Group- Average Order Value Trend Analysis, 2020-2029 6.4 India Quick Commerce Analysis by Gen X (40–55) Age Group: Market Size and Forecast, 2020-2029 6.4.1 Gen X (40–55) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.4.2 Gen X (40–55) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.4.3 Gen X (40–55) Age Group- Average Order Value Trend Analysis, 2020-2029 6.5 India Quick Commerce Analysis by Baby Boomers (Above 55+) Age Group: Market Size and Forecast, 2020-2029 6.5.1 Baby Boomers (Above 55+) Age Group- Gross Merchandise Value Trend Analysis, 2020-2029 6.5.2 Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume Trend Analysis, 2020-2029 6.5.3 Baby Boomers (Above 55+) Age Group- Average Order Value Trend Analysis, 2020-2029 7. India Quick Commerce Analysis by Location 7.1 India Quick Commerce Segment Share by Location, 2020-2029 7.2 India Quick Commerce Analysis by Tier 1 Cities: Market Size and Forecast, 2020-2029 7.2.1 Tier 1 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.2.2 Tier 1 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.2.3 Tier 1 Cities- Average Order Value Trend Analysis, 2020-2029 7.2.4 Tier 1 Cities- Order Frequency Trend Analysis, 2020-2029 7.3 India Quick Commerce Analysis by Tier 2 Cities: Market Size and Forecast, 2020-2029 7.3.1 Tier 2 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.3.2 Tier 2 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.3.3 Tier 2 Cities- Average Order Value Trend Analysis, 2020-2029 7.3.4 Tier 2 Cities- Order Frequency Trend Analysis, 2020-2029 7.4 India Quick Commerce Analysis by Tier 3 Cities: Market Size and Forecast, 2020-2029 7.4.1 Tier 3 Cities- Gross Merchandise Value Trend Analysis, 2020-2029 7.4.2 Tier 3 Cities- Gross Merchandise Volume Trend Analysis, 2020-2029 7.4.3 Tier 3 Cities- Average Order Value Trend Analysis, 2020-2029 7.4.4 Tier 3 Cities- Order Frequency Trend Analysis, 2020-2029 8. India Quick Commerce Analysis by Business Model 8.1 India Quick Commerce Segment Share by Business Model, 2024 8.2 India Quick Commerce Analysis by Inventory Model: Market Size and Forecast, 2020-2029 8.2.1 Inventory Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.2.2 Inventory Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.2.3 Inventory Model- Average Order Value Trend Analysis, 2020-2029 8.3 India Quick Commerce Analysis by Hyperlocal Model: Market Size and Forecast, 2020-2029 8.3.1 Hyperlocal Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.3.2 Hyperlocal Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.3.3 Hyperlocal Model- Average Order Value Trend Analysis, 2020-2029 8.4 India Quick Commerce Analysis by Multi-vendor Platform Model: Market Size and Forecast, 2020-2029 8.4.1 Multi-vendor Platform Model- Gross Merchandise Value Trend Analysis, 2020-2029 8.4.2 Multi-vendor Platform Model- Gross Merchandise Volume Trend Analysis, 2020-2029 8.4.3 Multi-vendor Platform Model- Average Order Value Trend Analysis, 2020-2029 8.5 India Quick Commerce Analysis by Other Business Models: Market Size and Forecast, 2020-2029 8.5.1 Other Business Models- Gross Merchandise Value Trend Analysis, 2020-2029 8.5.2 Other Business Models- Gross Merchandise Volume Trend Analysis, 2020-2029 8.5.3 Other Business Models- Average Order Value Trend Analysis, 2020-2029 9. India Quick Commerce Analysis by Delivery Time 9.1 India Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 India Quick Commerce Analysis by Delivery Time In 30 Minutes: Market Size and Forecast, 2020-2029 9.2.1 Delivery Time In 30 Minutes- Gross Merchandise Value Trend Analysis, 2020-2029 9.2.2 Delivery Time In 30 Minutes- Gross Merchandise Volume Trend Analysis, 2020-2029 9.2.3 Delivery Time In 30 Minutes- Average Order Value Trend Analysis, 2020-2029 9.2.4 Delivery Time In 30 Minutes- Order Frequency Trend Analysis, 2020-2029 9.3 India Quick Commerce Analysis by Delivery Time 30–60 Minutes: Market Size and Forecast, 2020-2029 9.3.1 Delivery Time 30–60 Minutes- Gross Merchandise Value Trend Analysis, 2020-2029 9.3.2 Delivery Time 30–60 Minutes- Gross Merchandise Volume Trend Analysis, 2020-2029 9.3.3 Delivery Time 30–60 Minutes- Average Order Value Trend Analysis, 2020-2029 9.3.4 Delivery Time 30–60 Minutes- Order Frequency Trend Analysis, 2020-2029 9.4 India Quick Commerce Analysis by Delivery Time In 3 Hours: Market Size and Forecast, 2020-2029 9.4.1 Delivery Time In 3 Hours- Gross Merchandise Value Trend Analysis, 2020-2029 9.4.2 Delivery Time In 3 Hours- Gross Merchandise Volume Trend Analysis, 2020-2029 9.4.3 Delivery Time In 3 Hours- Average Order Value Trend Analysis, 2020-2029 9.4.4 Delivery Time In 3 Hours- Order Frequency Trend Analysis, 2020-2029 10. India Quick Commerce Consumer Behaviour and Adoption 10.1 India Quick Commerce- Average Subscription Uptake, 2024 10.2 India Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 India Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 India Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: India Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: India Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Table 3: India Quick Commerce – Average Order Value (US$), 2020-2029 Table 4: India Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Table 5: India Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Table 6: Advertising Revenue (US$ Million), 2020-2029 Table 7: Delivery Fee Revenue (US$ Million), 2020-2029 Table 8: Subscription Revenue (US$ Million), 2020-2029 Table 9: Groceries & Staples- Gross Merchandise Value (US$ Million), 2020-2029 Table 10: Groceries & Staples- Gross Merchandise Volume (Millions), 2020-2029 Table 11: Groceries & Staples- Average Order Value (US$), 2020-2029 Table 12: Groceries & Staples- Order Frequency (Orders per Year), 2020-2029 Table 13: Fruits & Vegetables- Gross Merchandise Value (US$ Million), 2020-2029 Table 14: Fruits & Vegetables- Gross Merchandise Volume (Millions), 2020-2029 Table 15: Fruits & Vegetables- Average Order Value (US$), 2020-2029 Table 16: Fruits & Vegetables- Order Frequency (Orders per Year), 2020-2029 Table 17: Snacks & Beverages- Gross Merchandise Value (US$ Million), 2020-2029 Table 18: Snacks & Beverages- Gross Merchandise Volume (Millions), 2020-2029 Table 19: Snacks & Beverages- Average Order Value (US$), 2020-2029 Table 20: Snacks & Beverages- Order Frequency (Orders per Year), 2020-2029 Table 21: Personal Care & Hygiene- Gross Merchandise Value (US$ Million), 2020-2029 Table 22: Personal Care & Hygiene- Gross Merchandise Volume (Millions), 2020-2029 Table 23: Personal Care & Hygiene- Average Order Value (US$), 2020-2029 Table 24: Personal Care & Hygiene- Order Frequency (Orders per Year), 2020-2029 Table 25: Pharmaceuticals & Health Products- Gross Merchandise Value (US$ Million), 2020-2029 Table 26: Pharmaceuticals & Health Products- Gross Merchandise Volume (Millions), 2020-2029 Table 27: Pharmaceuticals & Health Products- Average Order Value (US$), 2020-2029 Table 28: Pharmaceuticals & Health Products- Order Frequency (Orders per Year), 2020-2029 Table 29: Home Décor- Gross Merchandise Value (US$ Million), 2020-2029 Table 30: Home Décor- Gross Merchandise Volume (Millions), 2020-2029 Table 31: Home Décor- Average Order Value (US$), 2020-2029 Table 32: Home Décor- Order Frequency (Orders per Year), 2020-2029 Table 33: Clothing & Accessories- Gross Merchandise Value (US$ Million), 2020-2029 Table 34: Clothing & Accessories- Gross Merchandise Volume (Millions), 2020-2029 Table 35: Clothing & Accessories- Average Order Value (US$), 2020-2029 Table 36: Clothing & Accessories- Order Frequency (Orders per Year), 2020-2029 Table 37: Electronics- Gross Merchandise Value (US$ Million), 2020-2029 Table 38: Electronics- Gross Merchandise Volume (Millions), 2020-2029 Table 39: Electronics- Average Order Value (US$), 2020-2029 Table 40: Electronics- Order Frequency (Orders per Year), 2020-2029 Table 41: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 42: Others- Gross Merchandise Volume (Millions), 2020-2029 Table 43: Others- Average Order Value (US$), 2020-2029 Table 44: Others- Order Frequency (Orders per Year), 2020-2029 Table 45: Instant Bank Transfer- Gross Merchandise Value (US$ Million), 2020-2029 Table 46: Instant Bank Transfer- Gross Merchandise Volume (Millions), 2020-2029 Table 47: Instant Bank Transfer- Average Order Value (US$), 2020-2029 Table 48: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Table 49: Wallets & Digital Payments- Gross Merchandise Volume (Millions), 2020-2029 Table 50: Wallets & Digital Payments- Average Order Value (US$), 2020-2029 Table 51: Credit & Debit Card- Gross Merchandise Value (US$ Million), 2020-2029 Table 52: Credit & Debit Card- Gross Merchandise Volume (Millions), 2020-2029 Table 53: Credit & Debit Card- Average Order Value (US$), 2020-2029 Table 54: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Table 55: Cash on Delivery- Gross Merchandise Volume (Millions), 2020-2029 Table 56: Cash on Delivery- Average Order Value (US$), 2020-2029 Table 57: Gen Z (15–25) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 58: Gen Z (15–25) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 59: Gen Z (15–25) Age Group- Average Order Value (US$), 2020-2029 Table 60: Millennials (26–39) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 61: Millennials (26–39) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 62: Millennials (26–39) Age Group- Average Order Value (US$), 2020-2029 Table 63. Gen X (40–55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 64: Gen X (40–55) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 65: Gen X (40–55) Age Group- Average Order Value (US$), 2020-2029 Table 66: Baby Boomers (Above 55+) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 67: Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 68: Baby Boomers (Above 55+) Age Group- Average Order Value (US$), 2020-2029 Table 69: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 70: Tier 1 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 71: Tier 1 Cities- Average Order Value (US$), 2020-2029 Table 72: Tier 1 Cities- Order Frequency (Orders per Year), 2020-2029 Table 73: Tier 2 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 74: Tier 2 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 75: Tier 2 Cities- Average Order Value (US$), 2020-2029 Table 76: Tier 2 Cities- Order Frequency (Orders per Year), 2020-2029 Table 77: Tier 3 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 78: Tier 3 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 79: Tier 3 Cities- Average Order Value (US$), 2020-2029 Table 80: Tier 3 Cities- Order Frequency (Orders per Year), 2020-2029 Table 81: Inventory Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 82: Inventory Model- Gross Merchandise Volume (Millions), 2020-2029 Table 83: Inventory Model- Average Order Value (US$), 2020-2029 Table 84: Hyperlocal Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 85: Hyperlocal Model- Gross Merchandise Volume (Millions), 2020-2029 Table 86: Hyperlocal Model- Average Order Value (US$), 2020-2029 Table 87: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 88: Multi-vendor Platform Model- Gross Merchandise Volume (Millions), 2020-2029 Table 89: Multi-vendor Platform Model- Average Order Value (US$), 2020-2029 Table 90: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 91: Others- Gross Merchandise Volume (Millions), 2020-2029 Table 92: Others- Average Order Value (US$), 2020-2029 Table 93: Delivery Time In 30 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 94: Delivery Time In 30 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Table 95: Delivery Time In 30 Minutes- Average Order Value (US$), 2020-2029 Table 96: Delivery Time In 30 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 97: Delivery Time 30–60 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 98: Delivery Time 30–60 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Table 99: Delivery Time 30–60 Minutes- Average Order Value (US$), 2020-2029 Table 100: Delivery Time 30–60 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 101: Delivery Time In 3 Hours- Gross Merchandise Value (US$ Million), 2020-2029 Table 102: Delivery Time In 3 Hours- Gross Merchandise Volume (Millions), 2020-2029 Table 103: Delivery Time In 3 Hours- Average Order Value (US$), 2020-2029 Table 104: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: India Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: India Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Figure 4: India Quick Commerce – Average Order Value (US$), 2020-2029 Figure 5: India Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Figure 6: India Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: India Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Figure 8: India Quick Commerce Revenue Structure, Composition, and Growth Analysis by Segment (US$ Million), 2024 Figure 9: Advertising Revenue (US$ Million), 2020-2029 Figure 10: Delivery Fee Revenue (US$ Million), 2020-2029 Figure 11: Subscription Revenue (US$ Million), 2020-2029 Figure 12: Groceries & Staples- Gross Merchandise Value (US$ Million), 2020-2029 Figure 13: Groceries & Staples- Gross Merchandise Volume (Millions), 2020-2029 Figure 14: Groceries & Staples- Average Order Value (US$), 2020-2029 Figure 15: Groceries & Staples- Order Frequency (Orders per Year), 2020-2029 Figure 16: Fruits & Vegetables- Gross Merchandise Value (US$ Million), 2020-2029 Figure 17: Fruits & Vegetables- Gross Merchandise Volume (Millions), 2020-2029 Figure 18: Fruits & Vegetables- Average Order Value (US$), 2020-2029 Figure 19: Fruits & Vegetables- Order Frequency (Orders per Year), 2020-2029 Figure 20: Snacks & Beverages- Gross Merchandise Value (US$ Million), 2020-2029 Figure 21: Snacks & Beverages- Gross Merchandise Volume (Millions), 2020-2029 Figure 22: Snacks & Beverages- Average Order Value (US$), 2020-2029 Figure 23: Snacks & Beverages- Order Frequency (Orders per Year), 2020-2029 Figure 24: Personal Care & Hygiene- Gross Merchandise Value (US$ Million), 2020-2029 Figure 25: Personal Care & Hygiene- Gross Merchandise Volume (Millions), 2020-2029 Figure 26: Personal Care & Hygiene- Average Order Value (US$), 2020-2029 Figure 27: Personal Care & Hygiene- Order Frequency (Orders per Year), 2020-2029 Figure 28: Pharmaceuticals & Health Products- Gross Merchandise Value (US$ Million), 2020-2029 Figure 29: Pharmaceuticals & Health Products- Gross Merchandise Volume (Millions), 2020-2029 Figure 30: Pharmaceuticals & Health Products- Average Order Value (US$), 2020-2029 Figure 31: Pharmaceuticals & Health Products- Order Frequency (Orders per Year), 2020-2029 Figure 32: Home Décor- Gross Merchandise Value (US$ Million), 2020-2029 Figure 33: Home Décor- Gross Merchandise Volume (Millions), 2020-2029 Figure 34: Home Décor- Average Order Value (US$), 2020-2029 Figure 35: Home Décor- Order Frequency (Orders per Year), 2020-2029 Figure 36: Clothing & Accessories- Gross Merchandise Value (US$ Million), 2020-2029 Figure 37: Clothing & Accessories- Gross Merchandise Volume (Millions), 2020-2029 Figure 38: Clothing & Accessories- Average Order Value (US$), 2020-2029 Figure 39: Clothing & Accessories- Order Frequency (Orders per Year), 2020-2029 Figure 40: Electronics- Gross Merchandise Value (US$ Million), 2020-2029 Figure 41: Electronics- Gross Merchandise Volume (Millions), 2020-2029 Figure 42: Electronics- Average Order Value (US$), 2020-2029 Figure 43: Electronics- Order Frequency (Orders per Year), 2020-2029 Figure 44: Other Product Category- Gross Merchandise Value (US$ Million), 2020-2029 Figure 45: Other Product Category- Gross Merchandise Volume (Millions), 2020-2029 Figure 46: Other Product Category- Average Order Value (US$), 2020-2029 Figure 47: Other Product Category- Order Frequency (Orders per Year), 2020-2029 Figure 48: Instant Bank Transfer- Gross Merchandise Value (US$ Million), 2020-2029 Figure 49: Instant Bank Transfer- Gross Merchandise Volume (Millions), 2020-2029 Figure 50: Instant Bank Transfer- Average Order Value (US$), 2020-2029 Figure 51: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Figure 52: Wallets & Digital Payments- Gross Merchandise Volume (Millions), 2020-2029 Figure 53: Wallets & Digital Payments- Average Order Value (US$), 2020-2029 Figure 54: Credit & Debit Cards- Gross Merchandise Value (US$ Million), 2020-2029 Figure 55: Credit & Debit Cards- Gross Merchandise Volume (Millions), 2020-2029 Figure 56: Credit & Debit Cards- Average Order Value (US$), 2020-2029 Figure 57: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Figure 58: Cash on Delivery- Gross Merchandise Volume (Millions), 2020-2029 Figure 59: Cash on Delivery- Average Order Value (US$), 2020-2029 Figure 60: Gen Z (15–25) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 61: Gen Z (15–25) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 62: Gen Z (15–25) Age Group- Average Order Value (US$), 2020-2029 Figure 63: Millennials (26–39) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 64: Millennials (26–39) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 65: Millennials (26–39) Age Group- Average Order Value (US$), 2020-2029 Figure 66: Gen X (40–55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 67: Gen X (40–55) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 68: Gen X (40–55) Age Group- Average Order Value (US$), 2020-2029 Figure 69: Baby Boomers (Above 55+) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 70: Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 71: Baby Boomers (Above 55+) Age Group- Average Order Value (US$), 2020-2029 Figure 72: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 73: Tier 1 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 74: Tier 1 Cities- Average Order Value (US$), 2020-2029 Figure 75: Tier 1 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 76: Tier 2 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 77: Tier 2 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 78: Tier 2 Cities- Average Order Value (US$), 2020-2029 Figure 79: Tier 2 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 80: Tier 3 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 81: Tier 3 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 82: Tier 3 Cities- Average Order Value (US$), 2020-2029 Figure 83: Tier 3 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 84: Inventory Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 85: Inventory Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 86: Inventory Model- Average Order Value (US$), 2020-2029 Figure 87: Hyperlocal Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 88: Hyperlocal Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 89: Hyperlocal Model- Average Order Value (US$), 2020-2029 Figure 90: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 91: Multi-vendor Platform Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 92: Multi-vendor Platform Model- Average Order Value (US$), 2020-2029 Figure 93: Other Business Models- Gross Merchandise Value (US$ Million), 2020-2029 Figure 94: Other Business Models- Gross Merchandise Volume (Millions), 2020-2029 Figure 95: Other Business Models- Average Order Value (US$), 2020-2029 Figure 96: Delivery Time In 30 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Figure 97: Delivery Time In 30 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Figure 98: Delivery Time In 30 Minutes- Average Order Value (US$), 2020-2029 Figure 99: Delivery Time In 30 Minutes- Order Frequency (Orders per Year), 2020-2029 Figure 100: Delivery Time 30–60 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Figure 101: Delivery Time 30–60 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Figure 102: Delivery Time 30–60 Minutes- Average Order Value (US$), 2020-2029 Figure 103: Delivery Time 30–60 Minutes- Order Frequency (Orders per Year), 2020-2029 Figure 104: Delivery Time In 3 Hours- Gross Merchandise Value (US$ Million), 2020-2029 Figure 105: Delivery Time In 3 Hours- Gross Merchandise Volume (Millions), 2020-2029 Figure 106: Delivery Time In 3 Hours- Average Order Value (US$), 2020-2029 Figure 107: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029 Figure 108: India Quick Commerce – Average Subscription Uptake, 2024 Figure 109: India Quick Commerce- Average Subscription Uptake by Age Group, 2024 Figure 110: India Quick Commerce- Average Subscription Uptake by Location, 2024 Figure 111: India Quich Commerce- Average Delivery Time, 2024 Figure 112: India Quick Commerce Segment Share by Product Type, 2024 Figure 113: India Quick Commerce Segment Share by Payment Method, 2020-2029 Figure 114: India Quick Commerce Segment Share by Age Group, 2024 Figure 115: India Quick Commerce Segment Share by Location, 2020-2029 Figure 116: India Quick Commerce Segment Share by Business Model, 2024 Figure 117: India Quick Commerce Segment Share by Delivery Time, 2020-2029
Contact us on live chat or fill out a form with your enquiry
