According to PayNXT360, the quick commerce market in Global is expected to grow by 19.2% annually, reaching US$250.2 billion by 2025. Global quick commerce market has experienced robust growth during...
According to PayNXT360, the quick commerce market in Global is expected to grow by 19.2% annually, reaching US$250.2 billion by 2025.
Global quick commerce market has experienced robust growth during 2020-2024, achieving a CAGR of 14.9%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 22.3% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$209.9 billion to approximately US$559.5 billion.
Key Trends & Drivers
1. Urban "micro-fulfilment" footprint expanding into dense metro geographies
• Q-commerce platforms are increasingly deploying micro-fulfilment hubs ("dark stores", store-back rooms, hyper-local warehouses) located within or very close to dense urban neighbourhoods. The aim is to enable very short delivery windows (minutes rather than hours). For example, in India, platforms such as Blinkit and Zepto have scaled dark-store networks across Indian metros to deliver groceries and essentials in approximately 10 minutes.
• Consumer expectations for speed are rising: in urban centers, time-scarce households are more willing to order essentials on demand. Growth in e-commerce has forced retailers to rethink fulfilment; the fixed "2-3 day" model is giving way to "minutes" for certain basket types.
• Dense urban real estate and high customer density enable route-density economics, making micro-fulfillment more viable.
• The micro-fulfilment footprint will intensify, with more dark stores per city and more delivery slots of 10-30 minutes. This will drive a shift in retailers' cost models: utilising existing stores for click-and-deliver, layering dark-store zones, and optimising routing will become critical.
• Outside of major metros, scale will remain a challenge. Thus, growth will initially skew urban; over time, operators will test hybrid models in Tier 2 and 3 cities. The result: Q-commerce will transition from a novelty to a baseline option in densely populated cities; the density of merchandising and delivery will increasingly determine competitive advantage.
2. Extending beyond groceries into adjacent product categories
• Q-commerce is expanding its product assortment beyond traditional grocery/essentials into categories such as personal care, beauty, home goods, fashion, electronics. In India, for instance, quick-delivery platforms are seeing growth in orders for grooming and beauty items alongside staples.
• Grocery-heavy Q-commerce models reach a ceiling in terms of order value and frequency; adjacent categories offer incremental growth. Consumers accustomed to "fast delivery" in one category expect it across more categories. Online commerce has broadly trained consumers to expect convenience across various product types.
• Under-penetrated categories in certain markets (e.g., beauty or fashion in fast-delivery formats) offer greenfield opportunities for Q-commerce players.
• We will see deeper category diversification in Q-commerce. For instance, platforms may launch "express fashion" or "express electronics" offerings. This will drive higher average order values (AOVs) and broaden customer cohorts (beyond just immediate-need grocery shoppers).
• However, category diversification increases supply chain complexity, inventory risk, and return risk (particularly for fashion/electronics), and may slow delivery speeds unless the fulfillment infrastructure is adapted. There will be a segmentation: "fast essentials" remains core, while "enhanced rapid" becomes a premium tier (with a longer window and a higher average order value, or AOV).
3. Integration by major retailers and omnichannel players
• Traditional large-format retailers and e-commerce incumbents are integrating Q-commerce into their omnichannel strategies, rather than leaving it to standalone start-ups. In the U.S., Walmart Inc. has positioned quick-commerce as a core growth lever, leveraging its super-centre network, dark-store staging, and a goal to reach most U.S. households within a short delivery window.
• Large retailers already have high-frequency customers, store footprints and logistics infrastructure; Q-commerce represents a way to deepen engagement and capture incremental wallet share. Digital disruption: e-commerce growth has pressured traditional retailers to adopt faster fulfilment or risk losing customers.
• The cost structure of fulfilment is gradually improving: as delivery density rises and micro-fulfilment becomes more efficient, the margin challenge becomes more manageable.
• The shift from "start-up Q-commerce only" to "mainstream rapid delivery + core retailer" will accelerate, as major retail chains will utilize quick-commerce as a strategic differentiator. Competitive pressure on pure-play Q-commerce companies is expected to intensify; they must either scale rapidly or partner with established incumbents to remain competitive.
• For brands and suppliers, being able to integrate into faster-commerce flows via retailer networks will become a standard expectation; shelf space, assortment and promotional mechanics will evolve accordingly.
4. Consumer expectation shift for "near-instant" fulfilment and higher order frequency
• Consumers are increasingly expecting shorter delivery lead times and placing more frequent, smaller-basket orders. Q-commerce is driving this shift. In India, for example, Q-commerce players now deliver in approximately 10 minutes in metro cities, and the frequency of orders is rising.
• The broader e-commerce and delivery ecosystem (meal-delivery, ride-hailing, on-demand services) has conditioned consumers to expect speed and convenience.
• Urban lifestyle changes, including busy households, smaller households, and just-in-time consumption patterns (characterized by less bulk buying), drive demand for rapid replenishment rather than weekly shopping. Technology and logistics improvements (routing, dark stores, mobile apps) make these expectations operationally feasible.
• Higher-order frequency will become a structural feature of Q-commerce, characterized by smaller baskets but more frequent purchases, emphasizing convenience and immediacy.
• To support order-frequency economics, platforms will optimize for repeat-customer retention, subscription models, loyalty programs, localized inventory, and predictive replenishment. The boundary between Q-commerce and traditional e-commerce will blur: traditional e-commerce may increasingly offer "express" options; Q-commerce may expand windows slightly but focus more on retention and basket size.
• Sustaining economic growth will remain challenging: last-mile costs, inventory turnover, and delivery density will need continuous improvement to avoid margin erosion.
Competitive Landscape
Over the next 2–4 years, the global competitive landscape is likely to become tighter rather than broader. Scale players (DoorDash, Uber, major regional platforms, and well-capitalized domestic leaders like Zepto) are positioned to deepen their share, while weaker operators either sell, merge, or exit. Cross-border M&A and strategic partnerships between delivery platforms and retailers (e.g., Instacart partnering with Uber Eats to add restaurant delivery for grocery users in the U.S.) will continue to blur the lines between food delivery, grocery and rapid retail. Profitability discipline, not just growth, will become the main filter for survival, pushing participants to rationalise networks, raise delivery density and pare back loss-making geographies.
Current State of the market
• Global quick commerce is in a consolidation phase after the hyper-expansion of 2020–22. The dominant pattern today is fewer, larger, better-funded operators competing fiercely for urban demand, while many smaller players withdraw.
• In India, Zepto, Blinkit (owned by Zomato) and Swiggy Instamart now form a concentrated "top tier", with recent funding rounds used to open hundreds of new dark stores and push customer acquisition, signalling still-intense rivalry. In Europe and the U.S., the picture is more selective: some operators expand through partnerships and acquisitions, while others retrench or exit unprofitable markets.
Key Players and New Entrants
• The competitive set combines global delivery platforms (DoorDash, Uber Eats, Instacart), regional super-apps (iFood in Brazil, Rappi in Latin America) and domestic specialists (Zepto, Blinkit, Swiggy Instamart in India; Rohlik in Central Europe; Getir in Turkey). DoorDash reports rising orders across food, grocery, retail, and alcohol, and claims share gains across nearly all business lines in the 30 countries where it operates, underscoring its role as a global benchmark for scale.
• New entrants are increasingly coming from adjacent sectors, such as ride-hailing and e-commerce firms layering ultra-fast grocery services onto existing customer bases, or local online grocers like Rohlik stepping into spaces vacated by exiting international players in Germany.
Recent Launches, Mergers, and Acquisitions
• Recent deals show both consolidation and strategic entry. Uber agreed to buy an 85% stake in Turkey's Trendyol Go food and grocery delivery unit for approximately $700 million, using it as a platform to expand its delivery services across Turkey. DoorDash announced a $3.9 billion deal to acquire U.K.-listed Deliveroo, extending its reach in Europe and strengthening its grocery and convenience offering.
• In contrast, Getir decided in 2024 to withdraw from its remaining European and U.S. markets, focusing instead on Turkey, citing margin pressure and high costs. This highlights how rapid international expansion can reverse when economic conditions deteriorate. Large funding rounds, such as Zepto's recent $450 million raise, further amplify competitive spending on dark stores, marketing, and fee cuts.
This report provides a detailed data-centric analysis of the quick commerce industry in Global 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 research methodology is based on industry best practices. Its unbiased analysis leverages a proprietary analytics platform to deliver a detailed view of market performance, structural trends, and growth dynamics across the quick commerce ecosystem, with a primary focus on both overall and instant delivery markets.
This title from PayNXT360 is a bundled offering, combining the following 21 reports, covering 2,000+ tables and 2,450+ figures:
1. Global Overall and Quick Commerce Market Business and Investment Opportunities Databook
2. Australia Overall and Quick Commerce Market Business and Investment Opportunities Databook
3. Brazil Overall and Quick Commerce Market Business and Investment Opportunities Databook
4. China Overall and Quick Commerce Market Business and Investment Opportunities Databook
5. France Overall and Quick Commerce Market Business and Investment Opportunities Databook
6. Germany Overall and Quick Commerce Market Business and Investment Opportunities Databook
7. India Overall and Quick Commerce Market Business and Investment Opportunities Databook
8. Indonesia Overall and Quick Commerce Market Business and Investment Opportunities Databook
9. Italy Overall and Quick Commerce Market Business and Investment Opportunities Databook
10. Japan Overall and Quick Commerce Market Business and Investment Opportunities Databook
11. Mexico Overall and Quick Commerce Market Business and Investment Opportunities Databook
12. Netherlands Overall and Quick Commerce Market Business and Investment Opportunities Databook
13. Philippines Overall and Quick Commerce Market Business and Investment Opportunities Databook
14. Saudi Arabia Overall and Quick Commerce Market Business and Investment Opportunities Databook
15. Singapore Overall and Quick Commerce Market Business and Investment Opportunities Databook
16. South Korea Overall and Quick Commerce Market Business and Investment Opportunities Databook
17. Spain Overall and Quick Commerce Market Business and Investment Opportunities Databook
18. Thailand Overall and Quick Commerce Market Business and Investment Opportunities Databook
19. United Arab Emirates Overall and Quick Commerce Market Business and Investment Opportunities Databook
20. United Kingdom Overall and Quick Commerce Market Business and Investment Opportunities Databook
21. United States Overall and Quick Commerce Market Business and Investment Opportunities Databook
This report provides a detailed data-driven analysis of the quick commerce market 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: • Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • 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 • Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • 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 • 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 • 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 • 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 • 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 • 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.
This title from PayNXT360 is a bundled offering, combining the following 21 reports, covering 2,100+ tables and 2,450+ figures: 1. Global Overall and Quick Commerce Market Business and Investment Opportunities Databook 2. Australia Overall and Quick Commerce Market Business and Investment Opportunities Databook 3. Brazil Overall and Quick Commerce Market Business and Investment Opportunities Databook 4. China Overall and Quick Commerce Market Business and Investment Opportunities Databook 5. France Overall and Quick Commerce Market Business and Investment Opportunities Databook 6. Germany Overall and Quick Commerce Market Business and Investment Opportunities Databook 7. India Overall and Quick Commerce Market Business and Investment Opportunities Databook 8. Indonesia Overall and Quick Commerce Market Business and Investment Opportunities Databook 9. Italy Overall and Quick Commerce Market Business and Investment Opportunities Databook 10. Japan Overall and Quick Commerce Market Business and Investment Opportunities Databook 11. Mexico Overall and Quick Commerce Market Business and Investment Opportunities Databook 12. Netherlands Overall and Quick Commerce Market Business and Investment Opportunities Databook 13. Philippines Overall and Quick Commerce Market Business and Investment Opportunities Databook 14. Saudi Arabia Overall and Quick Commerce Market Business and Investment Opportunities Databook 15. Singapore Overall and Quick Commerce Market Business and Investment Opportunities Databook 16. South Korea Overall and Quick Commerce Market Business and Investment Opportunities Databook 17. Spain Overall and Quick Commerce Market Business and Investment Opportunities Databook 18. Thailand Overall and Quick Commerce Market Business and Investment Opportunities Databook 19. United Arab Emirates Overall and Quick Commerce Market Business and Investment Opportunities Databook 20. United Kingdom Overall and Quick Commerce Market Business and Investment Opportunities Databook 21. United States Overall and Quick Commerce Market Business and Investment Opportunities Databook All global, regional, and country reports mentioned above will have the following tables of contents: 1. About this Report 1.1 Summary 1.2 Methodology 1.3 Definitions 1.4 Disclaimer 2. Quick Commerce Industry Attractiveness 2.1 Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 Quick Commerce – Market Share Analysis by Key Players, 2024 3. Quick Commerce Operational KPIs 3.1 Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 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. Quick Commerce Analysis by Product Type 4.1 Quick Commerce Segment Share by Product Type, 2024 4.2 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 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 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 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 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 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 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 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 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. Quick Commerce Analysis by Payment Method 5.1 Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 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 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 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 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. Quick Commerce Analysis by Age Group 6.1 Quick Commerce Segment Share by Age Group, 2024 6.2 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 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 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 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. Quick Commerce Analysis by Location 7.1 Quick Commerce Segment Share by Location, 2020-2029 7.2 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 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 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. Quick Commerce Analysis by Business Model 8.1 Quick Commerce Segment Share by Business Model, 2024 8.2 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 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 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 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. Quick Commerce Analysis by Delivery Time 9.1 Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 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 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 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. Quick Commerce Consumer Behaviour and Adoption 10.1 Quick Commerce- Average Subscription Uptake, 2024 10.2 Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: Quick Commerce – Gross Merchandise Volume (US$ Million), 2020 – 2029 Table 3: Quick Commerce – Average Order Value (US$ Million), 2020-2029 Table 4: Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Table 5: Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Table 7: Advertising Revenue (US$ Million), 2020-2029 Table 8: Delivery Fee Revenue (US$ Million), 2020-2029 Table 9: Subscription Revenue (US$ Million), 2020-2029 Table 10: Groceries & Staples- Gross Merchandise Value (US$ Million), 2020-2029 Table 11: Groceries & Staples- Gross Merchandise Volume (US$ Million), 2020-2029 Table 12: Groceries & Staples- Average Order Value (US$ Million), 2020-2029 Table 13: Groceries & Staples- Order Frequency (Orders per Year), 2020-2029 Table 14: Fruits & Vegetables- Gross Merchandise Value (US$ Million), 2020-2029 Table 15: Fruits & Vegetables- Gross Merchandise Volume (US$ Million), 2020-2029 Table 16: Fruits & Vegetables- Average Order Value (US$ Million), 2020-2029 Table 17: Fruits & Vegetables- Order Frequency (Orders per Year), 2020-2029 Table 18: Snacks & Beverages- Gross Merchandise Value (US$ Million), 2020-2029 Table 19: Snacks & Beverages- Gross Merchandise Volume (US$ Million), 2020-2029 Table 20: Snacks & Beverages- Average Order Value (US$ Million), 2020-2029 Table 21: Snacks & Beverages- Order Frequency (Orders per Year), 2020-2029 Table 22: Personal Care & Hygiene- Gross Merchandise Value (US$ Million), 2020-2029 Table 23: Personal Care & Hygiene- Gross Merchandise Volume (US$ Million), 2020-2029 Table 24: Personal Care & Hygiene- Average Order Value (US$ Million), 2020-2029 Table 25: Personal Care & Hygiene- Order Frequency (Orders per Year), 2020-2029 Table 26: Pharmaceuticals & Health Products- Gross Merchandise Value (US$ Million), 2020-2029 Table 27: Pharmaceuticals & Health Products- Gross Merchandise Volume (US$ Million), 2020-2029 Table 28: Pharmaceuticals & Health Products- Average Order Value (US$ Million), 2020-2029 Table 29: Pharmaceuticals & Health Products- Order Frequency (Orders per Year), 2020-2029 Table 30: Home Décor- Gross Merchandise Value (US$ Million), 2020-2029 Table 31: Home Décor- Gross Merchandise Volume (US$ Million), 2020-2029 Table 32: Home Décor- Average Order Value (US$ Million), 2020-2029 Table 33: Home Décor- Order Frequency (Orders per Year), 2020-2029 Table 34: Clothing & Accessories- Gross Merchandise Value (US$ Million), 2020-2029 Table 35: Clothing & Accessories- Gross Merchandise Volume (US$ Million), 2020-2029 Table 36: Clothing & Accessories- Average Order Value (US$ Million), 2020-2029 Table 37: Clothing & Accessories- Order Frequency (Orders per Year), 2020-2029 Table 38: Electronics- Gross Merchandise Value (US$ Million), 2020-2029 Table 39: Electronics- Gross Merchandise Volume (US$ Million), 2020-2029 Table 40: Electronics- Average Order Value (US$ Million), 2020-2029 Table 41: Electronics- Order Frequency (Orders per Year), 2020-2029 Table 42: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 43: Others- Gross Merchandise Volume (US$ Million), 2020-2029 Table 44: Others- Average Order Value (US$ Million), 2020-2029 Table 45: Others- Order Frequency (Orders per Year), 2020-2029 Table 46: Instant Bank Transfer- Gross Merchandise Value (US$ Million), 2020-2029 Table 47: Instant Bank Transfer- Gross Merchandise Volume (US$ Million), 2020-2029 Table 48: Instant Bank Transfer- Average Order Value (US$ Million), 2020-2029 Table 49: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Table 50: Wallets & Digital Payments- Gross Merchandise Volume (US$ Million), 2020-2029 Table 51: Wallets & Digital Payments- Average Order Value (US$ Million), 2020-2029 Table 52: Credit & Debit Card- Gross Merchandise Value (US$ Million), 2020-2029 Table 53: Credit & Debit Card- Gross Merchandise Volume (US$ Million), 2020-2029 Table 54: Credit & Debit Card- Average Order Value (US$ Million), 2020-2029 Table 55: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Table 56: Cash on Delivery- Gross Merchandise Volume (US$ Million), 2020-2029 Table 57: Cash on Delivery- Average Order Value (US$ Million), 2020-2029 Table 58: Gen Z (15–25) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 59: Gen Z (15–25) Age Group- Gross Merchandise Volume (US$ Million), 2020-2029 Table 60: Gen Z (15–25) Age Group- Average Order Value (US$ Million), 2020-2029 Table 61: Millennials (26–39) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 62: Millennials (26–39) Age Group- Gross Merchandise Volume (US$ Million), 2020-2029 Table 63: Millennials (26–39) Age Group- Average Order Value (US$ Million), 2020-2029 Table 64. Gen X (40–55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 65: Gen X (40–55) Age Group- Gross Merchandise Volume (US$ Million), 2020-2029 Table 66: Gen X (40–55) Age Group- Average Order Value (US$ Million), 2020-2029 Table 67: Baby Boomers (Above 55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 68: Baby Boomers (Above 55) Age Group- Gross Merchandise Volume (US$ Million), 2020-2029 Table 69: Baby Boomers (Above 55) Age Group- Average Order Value (US$ Million), 2020-2029 Table 70: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 71: Tier 1 Cities- Gross Merchandise Volume (US$ Million), 2020-2029 Table 72: Tier 1 Cities- Average Order Value (US$ Million), 2020-2029 Table 73: Tier 1 Cities- Order Frequency (Orders per Year), 2020-2029 Table 74: Tier 2 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 75: Tier 2 Cities- Gross Merchandise Volume (US$ Million), 2020-2029 Table 76: Tier 2 Cities- Average Order Value (US$ Million), 2020-2029 Table 77: Tier 2 Cities- Order Frequency (Orders per Year), 2020-2029 Table 78: Tier 3 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 79: Tier 3 Cities- Gross Merchandise Volume (US$ Million), 2020-2029 Table 80: Tier 3 Cities- Average Order Value (US$ Million), 2020-2029 Table 81: Tier 3 Cities- Order Frequency (Orders per Year), 2020-2029 Table 82: Inventory Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 83: Inventory Model- Gross Merchandise Volume (US$ Million), 2020-2029 Table 84: Inventory Model- Average Order Value (US$ Million), 2020-2029 Table 85: Hyper-local Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 86: Hyper-local Model- Gross Merchandise Volume (US$ Million), 2020-2029 Table 87: Hyper-local Model- Average Order Value (US$ Million), 2020-2029 Table 88: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 89: Multi-vendor Platform Model- Gross Merchandise Volume (US$ Million), 2020-2029 Table 90: Multi-vendor Platform Model- Average Order Value (US$ Million), 2020-2029 Table 91: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 92: Others- Gross Merchandise Volume (US$ Million), 2020-2029 Table 93: Others- Average Order Value (US$ Million), 2020-2029 Table 94: Delivery Time In 30 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 95: Delivery Time In 30 Minutes- Gross Merchandise Volume (US$ Million), 2020-2029 Table 96: Delivery Time In 30 Minutes- Average Order Value (US$ Million), 2020-2029 Table 97: Delivery Time In 30 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 98: Delivery Time 30–60 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 99: Delivery Time 30–60 Minutes- Gross Merchandise Volume (US$ Million), 2020-2029 Table 100: Delivery Time 30–60 Minutes- Average Order Value (US$ Million), 2020-2029 Table 101: Delivery Time 30–60 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 102: Delivery Time In 3 Hours- Gross Merchandise Value (US$ Million), 2020-2029 Table 103: Delivery Time In 3 Hours- Gross Merchandise Volume (US$ Million), 2020-2029 Table 104: Delivery Time In 3 Hours- Average Order Value (US$ Million), 2020-2029 Table 105: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: Quick Commerce – Gross Merchandise Volume (US$ Million), 2020 – 2029 Figure 4: Quick Commerce – Average Order Value (US$ Million), 2020-2029 Figure 5: Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Figure 6: Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Figure 8: 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 (US$ Million), 2020-2029 Figure 14: Groceries & Staples- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 18: Fruits & Vegetables- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 22: Snacks & Beverages- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 26: Personal Care & Hygiene- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 30: Pharmaceuticals & Health Products- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 34: Home Décor- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 38: Clothing & Accessories- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 42: Electronics- Average Order Value (US$ Million), 2020-2029 Figure 43: Electronics- Order Frequency (Orders per Year), 2020-2029 Figure 44: Others- Gross Merchandise Value (US$ Million), 2020-2029 Figure 45: Others- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 46: Others- Average Order Value (US$ Million), 2020-2029 Figure 47: Others- 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 (US$ Million), 2020-2029 Figure 50: Instant Bank Transfer- Average Order Value (US$ Million), 2020-2029 Figure 51: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Figure 52: Wallets & Digital Payments- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 53: Wallets & Digital Payments- Average Order Value (US$ Million), 2020-2029 Figure 54: Credit & Debit Card- Gross Merchandise Value (US$ Million), 2020-2029 Figure 55: Credit & Debit Card- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 56: Credit & Debit Card- Average Order Value (US$ Million), 2020-2029 Figure 57: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Figure 58: Cash on Delivery- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 59: Cash on Delivery- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 62: Gen Z (15–25) Age Group- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 65: Millennials (26–39) Age Group- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 68: Gen X (40–55) Age Group- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 71: Baby Boomers (Above 55) Age Group- Average Order Value (US$ Million), 2020-2029 Figure 72: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 73: Tier 1 Cities- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 74: Tier 1 Cities- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 78: Tier 2 Cities- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 82: Tier 3 Cities- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 86: Inventory Model- Average Order Value (US$ Million), 2020-2029 Figure 87: Hyper-local Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 88: Hyper-local Model- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 89: Hyper-local Model- Average Order Value (US$ Million), 2020-2029 Figure 90: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 91: Multi-vendor Platform Model- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 92: Multi-vendor Platform Model- Average Order Value (US$ Million), 2020-2029 Figure 93: Others- Gross Merchandise Value (US$ Million), 2020-2029 Figure 94: Others- Gross Merchandise Volume (US$ Million), 2020-2029 Figure 95: Others- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 98: Delivery Time In 30 Minutes- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 102: Delivery Time 30–60 Minutes- Average Order Value (US$ Million), 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 (US$ Million), 2020-2029 Figure 106: Delivery Time In 3 Hours- Average Order Value (US$ Million), 2020-2029 Figure 107: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029 Figure 108: Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 109: Quick Commerce- Age Group Average Subscription Uptake (%), 2024 Figure 110: Quick Commerce- Location Average Subscription Uptake (%), 2024 Figure 111: Tier 3 Cities- Average Subscription Uptake (%), 2024
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