According to PayNXT360, the quick commerce market in Europe is expected to grow by 8.1% annually, reaching US$36.6 billion by 2025. The quick commerce market in the region has experienced robust grow...
According to PayNXT360, the quick commerce market in Europe is expected to grow by 8.1% annually, reaching US$36.6 billion by 2025. The quick commerce market in the region has experienced robust growth during 2020-2024, achieving a CAGR of 7.3%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 7.9% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$33.9 billion to approximately US$49.5 billion. Key Trends & Drivers 1. Market consolidation and a pivot to sustainable economics • The European quick-commerce market has shifted from hyper-expansion to consolidation and restructuring. Getir’s decision in 2024 to exit Germany, the UK, and the Netherlands, and to focus on Turkey, including the closure of Gorillas, signaled that some of the most aggressive early movers could not sustain European operations at scale. In contrast, Germany-based Flink remains active in approximately 90 cities but is now exploring funding options and even a potential sale, despite achieving EBITDA profitability in 2024, which highlights the capital intensity and thin margins of the model. • Rising interest rates and tighter funding conditions in Europe have reduced investors’ appetite for loss-making growth models, forcing operators to prioritise unit economics over GMV growth. • Broader grocery retail in Europe is characterised by low volume growth and strong price competition; recent McKinsey/EuroCommerce work shows grocers leaning heavily on efficiency and private-label growth rather than top-line expansion. This environment makes it harder for q-commerce players to pass on high last-mile costs to consumers. Delivery platforms and retailers are also developing their own same-day and rapid delivery propositions, which increases competitive pressure on pure-play dark-store operators. • Europe is likely to see fewer, larger pure-play q-commerce companies, with Germany emerging as a key testing ground given Flink’s scale and Rewe’s backing. • Cross-border M&A and strategic partnerships with large platforms (for example, the approved acquisition of Eat Takeaway by Prosus, which is expected to use AI and broader ecosystem synergies to drive grocery and non-food delivery) will reinforce the role of capital-rich platforms as consolidators. For executives, this implies that scale, cost discipline, and access to broader ecosystems (such as payments, media, and fintech) will be more decisive than brand alone in sustaining a pan-European q-commerce footprint. 2. Supermarket-led and omnichannel rapid delivery gains ground • Large grocers in Western Europe are integrating rapid fulfilment into their existing online grocery networks, using stores as micro-fulfilment hubs rather than relying solely on dedicated dark stores. In the UK, Tesco has expanded its Whoosh rapid-delivery service to over 1,500 stores and into larger formats, allowing “trolley-sized” orders to be delivered in around 20–45 minutes, supported by partners such as Stuart for delivery via cars and vans. • Tesco Ireland is replicating this model, rolling out Whoosh across Dublin and into cities like Galway and Cork, with access to over 3,000 SKUs delivered in as little as 45 minutes. Sainsbury’s in the UK continues to operate its “Chop Chop” 60-minute service via its app, allowing customers to order up to 30 items from nearby stores, effectively blending convenience-store assortment with quick-commerce speed. • European grocery retailers are under cost pressure and are looking for ways to monetise existing store networks and labour rather than build new dark-store estates. McKinsey notes that European grocers are focusing on operational efficiency, technology, and the better use of data, rather than large greenfield capital expenditures. • Online grocery penetration remains structurally lower in Europe than in some Asian or North American markets, so store-based rapid delivery offers a relatively low-risk way to meet rising convenience expectations while protecting store traffic. For UK and Irish grocers, rapid delivery also defends their share against food-delivery platforms that now offer groceries from supermarkets and convenience stores. • Expect rapid delivery to become a standard feature of mainstream online grocery services, particularly in the UK, Ireland, France, and the Nordics, with 30–60-minute windows integrated into e-commerce checkouts, rather than a separate “ultra-fast” app. This will favour retailers with dense store networks (Tesco, Sainsbury’s, Carrefour, Ahold Delhaize, REWE) and make it harder for standalone q-commerce brands without physical retail backing to differentiate. • In practice, “quick commerce in Europe” will increasingly mean store-picked rapid orders operated by grocers and platform partners, which should improve route density and economics compared with early dark-store models. 3. Urban regulation and resident pushback reshape dark-store networks • European cities have tightened rules on dark stores and ultra-fast delivery hubs, responding to resident complaints about noise, congestion, and the impact on the streetscape. Amsterdam and Barcelona have already restricted or banned dark stores in residential areas, prompting q-commerce operators to relocate to industrial zones or convert to conventional warehouses or stores. • In Paris, France’s Conseil d’État ruled in 2023 that dark stores are “warehouses” under planning rules, giving the city greater control over their location and permitting. A 2025 European policy commentary notes that dark-store-based q-commerce is increasingly criticized for its traffic and safety impacts on residential streets. • The broader European policy context emphasises liveable cities, reduced congestion and emissions, and fair treatment of gig workers. Dark stores, frequently located in dense neighbourhoods to meet 10-minute promises, clash with these objectives. • Traditional retailers and small neighbourhood shops also lobby against dark stores, arguing that they benefit from less stringent local planning requirements while competing for the same convenience missions. At the same time, municipalities are under pressure to regulate platform work and manage curb space used by delivery riders. • Expect fewer inner-city dark stores in markets like the Netherlands, France, and Spain, with more fulfilment pushed to: • edge-of-city micro-fulfilment centres, • in-store picking, or • Shared urban logistics hubs are subject to stricter zoning. • Operators in Germany and Central Europe are likely to adjust network design pre-emptively, anticipating similar scrutiny. • Ultra-fast (10–15-minute) delivery promises will likely be softened to 30–60 minutes in many cities, trading speed for compliance and cost control. Q-commerce will remain available, but its physical footprint will align more closely with urban planning rules and sustainability goals. 4. From “speed only” to ecosystem plays: multi-category, value, and retail media • Leading European platforms are repositioning quick commerce from a narrow “10-minute groceries” offer to a broader on-demand retail and media ecosystem. Just Eat Takeaway now highlights that its 362,000 “Partners” include both restaurants and retail, reflecting an expansion into grocery and convenience in markets such as the Netherlands, the UK, and the Nordics. • Glovo, headquartered in Spain but active across Southern and Eastern Europe, has developed a multi-stream revenue model that spans food, groceries, retail, convenience, and advertising solutions for brands. Partnerships such as Carrefour–Uber Eats in France, which offer more than 12,000 supermarket SKUs via the Uber Eats app with loyalty integration, illustrate how q-commerce is being embedded into retailer ecosystems rather than standing apart from them. • European consumers remain price-sensitive after prolonged inflation. McKinsey reports that the share of private labels in grocery value sales reached 39.1% in 2024, and most shoppers intend to continue buying private labels even if their purchasing power improves. This pushes platforms and retailers to compete on value and assortment, not just speed, and to monetise traffic through retail media and data services to improve margins. • For platforms like Glovo and Eat Takeaway, expanding beyond restaurants into retail categories increases order frequency and order size, which is critical to delivering profitable logistics. • Q-commerce in Europe will increasingly mirror broader grocery and retail strategies: • more private-label and exclusive ranges available on rapid-delivery channels, • wider non-food assortment (pharmacy, pet care, basic electronics, seasonal goods), • Stronger linkage with retailer loyalty schemes and personalised promotions. • Retail media sponsored listings, in-app banners, and data-driven campaigns will become a growing revenue line for both platforms and grocers, helping to subsidise delivery costs. • The competitive benchmark will move from “who can deliver in 10 minutes” to “who can combine strong value, relevant assortment, and profitable last-mile operations”. Players that own or tightly integrate stores, data, and media inventory (for example, Tesco in the UK, Carrefour in France, and Ahold Delhaize banners in Benelux) are well-positioned to define this next phase. Competitive Landscape Over the next 2–4 years, Europe’s quick-commerce sector is expected to consolidate further around financially stable, omnichannel ecosystems. Supermarket-led and marketplace models will dominate, with fulfilment shifting toward store-based or shared micro-hub infrastructure. Profitability and sustainability, rather than ultra-fast speed, will define competitive advantage. National markets will likely retain 2–3 major players each, supported by local partnerships and the monetization of retail media. Current State of the Market • Europe’s quick-commerce market has moved from aggressive expansion to structural consolidation. After the pandemic-driven surge, several early entrants faced financial stress due to high delivery costs and limited order density. The market is now concentrated around a few resilient players and integrated retail ecosystems. • Germany, France, the UK, Spain, and the Netherlands remain the most active hubs; however, delivery models have shifted from pure-play dark-store networks to hybrid and store-based fulfillment. Quick commerce is increasingly embedded within established supermarket and delivery platforms rather than operating as standalone services. Key Players and New Entrants • Leading operators include Flink in Germany, Glovo across Southern and Eastern Europe, and Eat, Takeaway, and Uber Eats, all of which are expanding into grocery segments. Tesco’s Whoosh, Sainsbury’s Chop Chop, Carrefour Sprint, and Ahold Delhaize’s Bol.com and Albert Heijn illustrate the rise of retailer-integrated delivery networks. • Getir’s withdrawal from most of Europe in 2024 marked a turning point, leaving limited room for new independent entrants to emerge. However, niche and regional platforms such as Wolt (Nordics, acquired by DoorDash) and Everli (Italy, Poland, France) continue to operate through partnerships with supermarkets. Recent Launches, Mergers, and Acquisitions • Consolidation defines recent activity. Getir’s exit from multiple markets and the integration of Gorillas marked the conclusion of one of the largest retrenchments in the sector. Prosus’s approved acquisition of Eat Takeaway in 2024 positions it to integrate grocery and retail delivery across Europe. • Retailers have deepened partnerships, such as Carrefour–Uber Eats in France, REWE–Flink in Germany, and Tesco–Stuart in the UK, which have extended their network reach without incurring heavy capital expenditure. The focus has turned from new launches to operational efficiency and cross-category expansion. This report provides a detailed data-centric analysis of the quick commerce industry in Europe 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 19 reports, covering 1,900+ tables and 2,200+ figures: 1. Europe Overall and Quick Commerce Market Business and Investment Opportunities Databook 2. Austria Overall and Quick Commerce Market Business and Investment Opportunities Databook 3. Belgium Overall and Quick Commerce Market Business and Investment Opportunities Databook 4. Czech Republic Overall and Quick Commerce Market Business and Investment Opportunities Databook 5. Denmark Overall and Quick Commerce Market Business and Investment Opportunities Databook 6. Finland Overall and Quick Commerce Market Business and Investment Opportunities Databook 7. France Overall and Quick Commerce Market Business and Investment Opportunities Databook 8. Germany Overall and Quick Commerce Market Business and Investment Opportunities Databook 9. Greece Overall and Quick Commerce Market Business and Investment Opportunities Databook 10. Ireland Overall and Quick Commerce Market Business and Investment Opportunities Databook 11. Italy Overall and Quick Commerce Market Business and Investment Opportunities Databook 12. Netherlands Overall and Quick Commerce Market Business and Investment Opportunities Databook 13. Norway Overall and Quick Commerce Market Business and Investment Opportunities Databook 14. Poland Overall and Quick Commerce Market Business and Investment Opportunities Databook 15. Russia Overall and Quick Commerce Market Business and Investment Opportunities Databook 16. Spain Overall and Quick Commerce Market Business and Investment Opportunities Databook 17. Sweden Overall and Quick Commerce Market Business and Investment Opportunities Databook 18. Switzerland Overall and Quick Commerce Market Business and Investment Opportunities Databook 19. United Kingdom 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 19 reports, covering 1,900+ tables and 2,200+ figures: 1. Europe Overall and Quick Commerce Market Business and Investment Opportunities Databook 2. Austria Overall and Quick Commerce Market Business and Investment Opportunities Databook 3. Belgium Overall and Quick Commerce Market Business and Investment Opportunities Databook 4. Czech Republic Overall and Quick Commerce Market Business and Investment Opportunities Databook 5. Denmark Overall and Quick Commerce Market Business and Investment Opportunities Databook 6. Finland Overall and Quick Commerce Market Business and Investment Opportunities Databook 7. France Overall and Quick Commerce Market Business and Investment Opportunities Databook 8. Germany Overall and Quick Commerce Market Business and Investment Opportunities Databook 9. Greece Overall and Quick Commerce Market Business and Investment Opportunities Databook 10. Ireland Overall and Quick Commerce Market Business and Investment Opportunities Databook 11. Italy Overall and Quick Commerce Market Business and Investment Opportunities Databook 12. Netherlands Overall and Quick Commerce Market Business and Investment Opportunities Databook 13. Norway Overall and Quick Commerce Market Business and Investment Opportunities Databook 14. Poland Overall and Quick Commerce Market Business and Investment Opportunities Databook 15. Russia Overall and Quick Commerce Market Business and Investment Opportunities Databook 16. Spain Overall and Quick Commerce Market Business and Investment Opportunities Databook 17. Sweden Overall and Quick Commerce Market Business and Investment Opportunities Databook 18. Switzerland Overall and Quick Commerce Market Business and Investment Opportunities Databook 19. United Kingdom 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), 2020-2030
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 (%), 2026
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