According to PayNXT360, the quick commerce market in Spain is expected to grow by 5.9% annually, reaching US$3,501.4 million by 2025. The quick commerce market in the country has experienced robust g...
According to PayNXT360, the quick commerce market in Spain is expected to grow by 5.9% annually, reaching US$3,501.4 million by 2025. The quick commerce market in the country has experienced robust growth during 2020-2024, achieving a CAGR of 5.4%. This upward trajectory is expected to continue, with the market forecast to grow at a CAGR of 5.7% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$3,305.1 million to approximately US$4,374.0 million. Key Trends & Drivers 1. Quick commerce consolidates around a few resilient platforms as ultra-fast models exit • Spain’s quick-commerce landscape has shifted from a crowded set of ultrafast grocery apps to a smaller group of resilient platforms, with Glovo now the dominant multi-category player and a few food aggregators (Eat, Uber Eats) adding grocery and convenience missions. Getir has already exited Spain as part of a broader restructuring and retreat from several European markets, following the announcement of cost-cutting measures and job reductions linked to funding pressures and weak profitability. This has left Glovo’s q-commerce business operating through Glovo Express dark stores and retail partners as the main specialist operator in Spanish cities, with on-demand grocery increasingly embedded within its broader delivery app. • The pivot is driven by tightening capital markets and the end of pandemic-era demand spikes, which have exposed the cost intensity of 10–15 minute grocery delivery models. At the same time, Spain’s grocery sector is highly competitive and price-sensitive, led by large chains such as Mercadona, Carrefour, and Dia, which leaves limited room for high mark-ups to cover quick-commerce logistics. As funding has become more selective, investors have pushed platforms like Getir to focus on core markets and shut down loss-making operations, such as Spain. Meanwhile, Glovo has leveraged its scale and multi-category mix to continue building its q-commerce arm as part of a broader delivery ecosystem. • Over the next 2–4 years, Spain’s quick-commerce market is likely to remain concentrated around Glovo and a handful of food delivery platforms and supermarket-led services, with limited room for asset-heavy, standalone ultrafast start-ups to re-enter at scale. Competition will focus less on delivery times of under 15 minutes and more on assortment, fees, and integration with grocery loyalty programs. For senior executives, this implies a landscape where strategic partnerships with one or two core platforms and tight control of unit economics are more important than broad, multi-platform experimentation. 2. Labour regulation and enforcement structurally raise operating costs and push formal employment models • Spain is moving from experimentation to enforcement on platform labour, with direct consequences for quick commerce. In late 2024, Glovo announced that it would convert around 14,000–15,000 riders in Spain from freelance to employee status, following sustained pressure from the labor ministry and multiple fines for misclassification under the “Rider Law.” In 2025, Delivery Hero Glovo’s parent company warned that potential liabilities related mainly to rider reclassification in Spain could reach €562–€ 923 million, casting doubt on Glovo Spain’s ability to operate without additional financial support. In parallel, the government has signalled it may escalate enforcement against Uber Eats if it continues to use “false self-employed” riders. • The driver is Spain’s political choice to formalise gig work ahead of many EU peers. The Rider Law presumes an employment relationship for food-delivery couriers and has been backed by labour inspections, court rulings, and significant fines against platforms, including Glovo. At the EU level, the Commission has also fined Delivery Hero and Glovo €329 million for anti-competitive behaviour in the online food delivery sector (including no-poach and market-sharing agreements), reinforcing regulatory scrutiny of platform practices. Together, these measures increase both direct labour costs and compliance risk for quick-commerce operators. • Over the next few years, Spain’s quick-commerce players will need to operate with higher and more predictable labour costs, narrower flexibility in rider scheduling, and greater exposure to social security and tax obligations. This is likely to: • Favour larger platforms and supermarket groups that can absorb higher fixed costs. • Accelerate automation (routing, batching, in-store picking) to mitigate labour cost inflation. • Lead to more disciplined expansion of coverage areas and shorter delivery hours. • For executives, Spain will serve as a test bed for fully regulated, employee-based delivery models. Practices proven viable here may inform rollouts across other European markets, while marginal city-level operations could be rationalized or exited. 3. Proximity supermarkets and omnichannel grocers absorb the “rapid delivery” mission • Instead of hyper-dense networks of independent dark stores, quick-commerce missions in Spain are increasingly fulfilled through proximity supermarkets and omnichannel grocery networks. Mercadona has been scaling its online operation, and by early 2025, it reported €650 million in online sales for 2023 and achieved first-time profitability in that channel, while increasing its delivery fee to over €8 per order to reflect cost realities. At the same time, large retailers are reconfiguring their physical networks to focus on smaller, urban-proximity formats. Alcampo’s acquisition of 224 Dia supermarkets in 2023 is part of a broader push toward convenience-oriented stores that can also serve as local fulfillment points for online orders. • Three forces underpin this shift. Local councils, particularly in Madrid and Barcelona, are tightening regulations on dark stores, with recent analysis indicating that the future of these facilities in Spain is at a turning point due to municipal regulations. Spanish grocery remains dominated by a few national chains with strong store networks and logistics capabilities (Mercadona, Carrefour, Dia, Alcampo, Eroski), making store-based fulfilment more viable than standalone micro-warehouses. Consumers have normalised online grocery use but remain price-sensitive, which favours leveraging existing supermarket infrastructure rather than adding a costly, separate quick-commerce network. • Over the next 2–4 years, “quick commerce” in Spain is likely to be increasingly indistinguishable from omnichannel grocery: • Supermarkets will utilize dense proximity networks as local hubs for same-day and 1–to 2-hour delivery. • Platforms like Glovo will compete more as logistics and demand-generation layers plugged into retailer inventory, rather than as independent grocers. • Pure dark-store footprints may stabilise or shrink in cities with stricter planning rules, replaced by hybrid formats (back-of-store picking zones, small in-store warehouses). • For senior executives, this means that the quick-commerce strategy in Spain should be designed as an extension of core grocery and convenience operations, rather than as a standalone business line. 4. Shift from volume growth to monetisation via retail media, data, and multi-stream revenue • As growth rates normalise and regulatory costs rise, Spanish quick-commerce players are pivoting from pure order-volume expansion to monetising their traffic and data. Glovo is expanding its retail media and advertising capabilities across its European footprint, including Spain. In late 2024, it announced an expanded global partnership with Mars to integrate brand campaigns into its platform, highlighting the importance of ads and sponsored placements as a new revenue stream. Industry commentary in 2025 also highlights Glovo’s multi-stream revenue model, which spans commissions, delivery fees, subscriptions, and advertising, as central to improving profitability in q-commerce. • Two main drivers are visible. First, wage increases, social security contributions, and potential retroactive liabilities in Spain raise the break-even point for each order, squeezing margins on delivery fees and merchant commissions alone. Second, Spain’s large FMCG brands (e.g., Mars and other global suppliers) are shifting a larger portion of their media budgets toward retail media and commerce media channels, seeking measurable conversions and closed-loop attribution within retailer and platform environments. Quick-commerce apps, with high session frequency and strong SKU-level data, are well-positioned to capture a significant portion of this spend. • Over the coming years, quick-commerce in Spain is likely to evolve into a media-rich, data-driven channel where: • Advertising, sponsored listings, and data partnerships contribute a larger share of profit than pure logistics. • Merchants and CPGs pay for premium visibility and targeted promotions, which may offset pressure to raise consumer-facing delivery fees too aggressively. • Real-time behavioural data from q-commerce platforms increasingly inform product assortment, pricing, and promotion decisions. • For senior leaders, this implies that negotiating media, data, and joint business planning terms with platforms such as Glovo will be as important as traditional trade spend negotiations with brick-and-mortar retailers. Competitive Landscape Over the next 2–4 years, Spain’s quick-commerce competitive landscape is likely to remain concentrated around Glovo, plus a small group of food-delivery aggregators and omnichannel grocers. New competition will come less from fresh start-ups and more from deeper supermarket platform alliances (e.g., Carrefour/Eat, Dia/Eat, Glovo–grocery partners), increased investment in store-based fulfillment, and the use of retail media and data partnerships to monetize traffic. Regulatory scrutiny on labour and antitrust practices will continue to favour players with scale, compliance capabilities, and diversified revenue streams. Current State of the Market • Spain’s quick-commerce market is now in a consolidation and normalisation phase. Getir withdrew from Spain in July 2023 as part of a wider pull-back from several European markets, leaving Glovo as the main multi-category instant-delivery platform with national scale. • Around Glovo, competition now comes from food-delivery platforms adding groceries (Eat, Uber Eats) and from large grocers (Mercadona, Carrefour, Dia, Alcampo) that have strengthened their own e-commerce and express-delivery capabilities. The competitive focus has shifted from ultra-fast 10-minute promises to reliable 30–90-minute delivery integrated with supermarket networks and pricing discipline. Key Players and New Entrants • Glovo, headquartered in Barcelona and owned by Delivery Hero, remains the core quick-commerce reference point in Spain, connecting users with supermarkets such as Dia, Alcampo, Carrefour, and Eroski as well as its own SuperGlovo formats. Just Eat and Uber Eats are building grocery and convenience assortments through retail tie-ups rather than dark-store operations. • Supermarket groups, particularly Mercadona and Carrefour, are investing heavily in online logistics, store refurbishments, and digital projects to support faster fulfilment from their existing networks. There have been no major new standalone ultrafast entrants in the last 12–18 months; instead, capital has flowed into strengthening omnichannel and partnership models. Recent Launches, Mergers, and Acquisitions • Recent activity is characterised more by partnerships and footprint optimisation than classic M&A. In January 2025, Carrefour and Eat expanded their home-delivery partnership to Spain, offering rapid delivery of more than 4,500 Carrefour products within around 30 minutes. In July 2024, Dia extended its collaboration with Eat to nearly 800 Spanish stores, deepening coverage for on-demand grocery delivery. • Alcampo has spent 2024–25 integrating the 224 Dia supermarkets it acquired, and has announced the closure or restructuring of around 25 stores and 710 jobs to rationalise the enlarged network. On the platform side, Glovo and Mars announced an expanded retail-media-focused partnership in November 2024, explicitly naming Spain as a key market. This report provides a detailed data-centric analysis of the quick commerce industry in Spain offering comprehensive coverage of both overall and quick commerce markets. It includes more than 100+ KPIs, covering gross merchandise value, gross merchandise volume, average order value, and order frequency. The report offers an in-depth analysis of quick commerce, including product type, payment mode, age group, location tier, business model, and delivery time. It further categorizes the market by revenue streams (advertising, delivery fee, and subscription-based models). In addition, the analysis captures consumer demographics by age and location alongside behavioral indicators such as subscription uptake and average delivery time. Collectively, these datasets provide a comprehensive view of market size, consumer behavior, and operational efficiency within the quick commerce ecosystem. PayNXT360’s research methodology is based on industry best practices. It's unbiased analysis leverages a proprietary analytics platform to offer a detailed view of emerging business and investment market opportunities.
This report provides a detailed data-driven analysis of the quick commerce market in Spain, 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: • Spain Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • Spain 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 • Spain Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • Spain Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • Spain Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • Spain Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • Spain Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • Spain Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • Spain Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • Spain 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 • Spain 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 • Spain 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 • Spain 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 • Spain 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 • Spain Quick Commerce Operational Metrics by Delivery Time -- Gross Merchandise Value by Delivery Time -- Gross Merchandise Volume by Delivery Time -- Average Order Value by Delivery Time -- Order Frequency by Delivery Time
• Comprehensive Market Intelligence: Gain a holistic understanding of the overall quick commerce with detailed operational metrics such as gross merchandise value, gross merchandise volume, average order value, and order frequency across key product categories. • Granular Segmentation and Cross-Analysis: Explore the fast-growing quick commerce ecosystem through detailed segmentation by product type, payment mode, age group, location tier, business model, and delivery time, providing data into evolving consumer behavior and purchasing dynamics. • Consumer Behavior and Ecosystem Readiness: Understand how demographics and payment method adoption are shaping consumer preferences and driving the expansion of instant delivery services in both urban and semi-urban markets. • Data-Driven Forecasts and KPI Tracking: Access a comprehensive dataset of 100+ key performance indicators (KPIs) with historical and forecast data through 2029, offering visibility into growth drivers, market trends, and investment opportunities across the quick commerce sector. • Decision-Ready Databook Format: Presented in a structured, data-centric format compatible with analytical and financial modeling, the Databook enables quick commerce companies, retailers, investors, and logistics partners to make informed, evidence-based strategic decisions.
1. About this Report 1.1 Summary 1.2 Methodology 1.3 Definitions 1.4 Disclaimer 2. Spain Quick Commerce Industry Attractiveness 2.1 Spain Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Spain Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 Spain Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 Spain Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 Spain Quick Commerce – Market Share Analysis by Key Players, 2024 3. Spain Quick Commerce Operational KPIs 3.1 Spain Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 Spain 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. Spain Quick Commerce Analysis by Product Type 4.1 Spain Quick Commerce Segment Share by Product Type, 2024 4.2 Spain 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 Spain 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 Spain 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 Spain 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 Spain 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 Spain 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 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Analysis by Payment Method 5.1 Spain Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 Spain 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 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Analysis by Age Group 6.1 Spain Quick Commerce Segment Share by Age Group, 2024 6.2 Spain 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 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Analysis by Location 7.1 Spain Quick Commerce Segment Share by Location, 2020-2029 7.2 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Analysis by Business Model 8.1 Spain Quick Commerce Segment Share by Business Model, 2024 8.2 Spain 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 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Analysis by Delivery Time 9.1 Spain Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 Spain 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 Spain 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 Spain 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. Spain Quick Commerce Consumer Behaviour and Adoption 10.1 Spain Quick Commerce- Average Subscription Uptake, 2024 10.2 Spain Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 Spain Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 Spain Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: Spain Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: Spain Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Table 3: Spain Quick Commerce – Average Order Value (US$), 2020-2029 Table 4: Spain Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Table 5: Spain Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Table 6: Advertising Revenue (US$ Million), 2020-2029 Table 7: Delivery Fee Revenue (US$ Million), 2020-2029 Table 8: Subscription Revenue (US$ Million), 2020-2029 Table 9: Groceries & Staples- Gross Merchandise Value (US$ Million), 2020-2029 Table 10: Groceries & Staples- Gross Merchandise Volume (Millions), 2020-2029 Table 11: Groceries & Staples- Average Order Value (US$), 2020-2029 Table 12: Groceries & Staples- Order Frequency (Orders per Year), 2020-2029 Table 13: Fruits & Vegetables- Gross Merchandise Value (US$ Million), 2020-2029 Table 14: Fruits & Vegetables- Gross Merchandise Volume (Millions), 2020-2029 Table 15: Fruits & Vegetables- Average Order Value (US$), 2020-2029 Table 16: Fruits & Vegetables- Order Frequency (Orders per Year), 2020-2029 Table 17: Snacks & Beverages- Gross Merchandise Value (US$ Million), 2020-2029 Table 18: Snacks & Beverages- Gross Merchandise Volume (Millions), 2020-2029 Table 19: Snacks & Beverages- Average Order Value (US$), 2020-2029 Table 20: Snacks & Beverages- Order Frequency (Orders per Year), 2020-2029 Table 21: Personal Care & Hygiene- Gross Merchandise Value (US$ Million), 2020-2029 Table 22: Personal Care & Hygiene- Gross Merchandise Volume (Millions), 2020-2029 Table 23: Personal Care & Hygiene- Average Order Value (US$), 2020-2029 Table 24: Personal Care & Hygiene- Order Frequency (Orders per Year), 2020-2029 Table 25: Pharmaceuticals & Health Products- Gross Merchandise Value (US$ Million), 2020-2029 Table 26: Pharmaceuticals & Health Products- Gross Merchandise Volume (Millions), 2020-2029 Table 27: Pharmaceuticals & Health Products- Average Order Value (US$), 2020-2029 Table 28: Pharmaceuticals & Health Products- Order Frequency (Orders per Year), 2020-2029 Table 29: Home Décor- Gross Merchandise Value (US$ Million), 2020-2029 Table 30: Home Décor- Gross Merchandise Volume (Millions), 2020-2029 Table 31: Home Décor- Average Order Value (US$), 2020-2029 Table 32: Home Décor- Order Frequency (Orders per Year), 2020-2029 Table 33: Clothing & Accessories- Gross Merchandise Value (US$ Million), 2020-2029 Table 34: Clothing & Accessories- Gross Merchandise Volume (Millions), 2020-2029 Table 35: Clothing & Accessories- Average Order Value (US$), 2020-2029 Table 36: Clothing & Accessories- Order Frequency (Orders per Year), 2020-2029 Table 37: Electronics- Gross Merchandise Value (US$ Million), 2020-2029 Table 38: Electronics- Gross Merchandise Volume (Millions), 2020-2029 Table 39: Electronics- Average Order Value (US$), 2020-2029 Table 40: Electronics- Order Frequency (Orders per Year), 2020-2029 Table 41: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 42: Others- Gross Merchandise Volume (Millions), 2020-2029 Table 43: Others- Average Order Value (US$), 2020-2029 Table 44: Others- Order Frequency (Orders per Year), 2020-2029 Table 45: Instant Bank Transfer- Gross Merchandise Value (US$ Million), 2020-2029 Table 46: Instant Bank Transfer- Gross Merchandise Volume (Millions), 2020-2029 Table 47: Instant Bank Transfer- Average Order Value (US$), 2020-2029 Table 48: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Table 49: Wallets & Digital Payments- Gross Merchandise Volume (Millions), 2020-2029 Table 50: Wallets & Digital Payments- Average Order Value (US$), 2020-2029 Table 51: Credit & Debit Card- Gross Merchandise Value (US$ Million), 2020-2029 Table 52: Credit & Debit Card- Gross Merchandise Volume (Millions), 2020-2029 Table 53: Credit & Debit Card- Average Order Value (US$), 2020-2029 Table 54: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Table 55: Cash on Delivery- Gross Merchandise Volume (Millions), 2020-2029 Table 56: Cash on Delivery- Average Order Value (US$), 2020-2029 Table 57: Gen Z (15–25) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 58: Gen Z (15–25) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 59: Gen Z (15–25) Age Group- Average Order Value (US$), 2020-2029 Table 60: Millennials (26–39) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 61: Millennials (26–39) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 62: Millennials (26–39) Age Group- Average Order Value (US$), 2020-2029 Table 63. Gen X (40–55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 64: Gen X (40–55) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 65: Gen X (40–55) Age Group- Average Order Value (US$), 2020-2029 Table 66: Baby Boomers (Above 55+) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Table 67: Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Table 68: Baby Boomers (Above 55+) Age Group- Average Order Value (US$), 2020-2029 Table 69: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 70: Tier 1 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 71: Tier 1 Cities- Average Order Value (US$), 2020-2029 Table 72: Tier 1 Cities- Order Frequency (Orders per Year), 2020-2029 Table 73: Tier 2 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 74: Tier 2 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 75: Tier 2 Cities- Average Order Value (US$), 2020-2029 Table 76: Tier 2 Cities- Order Frequency (Orders per Year), 2020-2029 Table 77: Tier 3 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Table 78: Tier 3 Cities- Gross Merchandise Volume (Millions), 2020-2029 Table 79: Tier 3 Cities- Average Order Value (US$), 2020-2029 Table 80: Tier 3 Cities- Order Frequency (Orders per Year), 2020-2029 Table 81: Inventory Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 82: Inventory Model- Gross Merchandise Volume (Millions), 2020-2029 Table 83: Inventory Model- Average Order Value (US$), 2020-2029 Table 84: Hyperlocal Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 85: Hyperlocal Model- Gross Merchandise Volume (Millions), 2020-2029 Table 86: Hyperlocal Model- Average Order Value (US$), 2020-2029 Table 87: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Table 88: Multi-vendor Platform Model- Gross Merchandise Volume (Millions), 2020-2029 Table 89: Multi-vendor Platform Model- Average Order Value (US$), 2020-2029 Table 90: Others- Gross Merchandise Value (US$ Million), 2020-2029 Table 91: Others- Gross Merchandise Volume (Millions), 2020-2029 Table 92: Others- Average Order Value (US$), 2020-2029 Table 93: Delivery Time In 30 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 94: Delivery Time In 30 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Table 95: Delivery Time In 30 Minutes- Average Order Value (US$), 2020-2029 Table 96: Delivery Time In 30 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 97: Delivery Time 30–60 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Table 98: Delivery Time 30–60 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Table 99: Delivery Time 30–60 Minutes- Average Order Value (US$), 2020-2029 Table 100: Delivery Time 30–60 Minutes- Order Frequency (Orders per Year), 2020-2029 Table 101: Delivery Time In 3 Hours- Gross Merchandise Value (US$ Million), 2020-2029 Table 102: Delivery Time In 3 Hours- Gross Merchandise Volume (Millions), 2020-2029 Table 103: Delivery Time In 3 Hours- Average Order Value (US$), 2020-2029 Table 104: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: Spain Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: Spain Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Figure 4: Spain Quick Commerce – Average Order Value (US$), 2020-2029 Figure 5: Spain Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Figure 6: Spain Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: Spain Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Figure 8: Spain Quick Commerce Revenue Structure, Composition, and Growth Analysis by Segment (US$ Million), 2024 Figure 9: Advertising Revenue (US$ Million), 2020-2029 Figure 10: Delivery Fee Revenue (US$ Million), 2020-2029 Figure 11: Subscription Revenue (US$ Million), 2020-2029 Figure 12: Groceries & Staples- Gross Merchandise Value (US$ Million), 2020-2029 Figure 13: Groceries & Staples- Gross Merchandise Volume (Millions), 2020-2029 Figure 14: Groceries & Staples- Average Order Value (US$), 2020-2029 Figure 15: Groceries & Staples- Order Frequency (Orders per Year), 2020-2029 Figure 16: Fruits & Vegetables- Gross Merchandise Value (US$ Million), 2020-2029 Figure 17: Fruits & Vegetables- Gross Merchandise Volume (Millions), 2020-2029 Figure 18: Fruits & Vegetables- Average Order Value (US$), 2020-2029 Figure 19: Fruits & Vegetables- Order Frequency (Orders per Year), 2020-2029 Figure 20: Snacks & Beverages- Gross Merchandise Value (US$ Million), 2020-2029 Figure 21: Snacks & Beverages- Gross Merchandise Volume (Millions), 2020-2029 Figure 22: Snacks & Beverages- Average Order Value (US$), 2020-2029 Figure 23: Snacks & Beverages- Order Frequency (Orders per Year), 2020-2029 Figure 24: Personal Care & Hygiene- Gross Merchandise Value (US$ Million), 2020-2029 Figure 25: Personal Care & Hygiene- Gross Merchandise Volume (Millions), 2020-2029 Figure 26: Personal Care & Hygiene- Average Order Value (US$), 2020-2029 Figure 27: Personal Care & Hygiene- Order Frequency (Orders per Year), 2020-2029 Figure 28: Pharmaceuticals & Health Products- Gross Merchandise Value (US$ Million), 2020-2029 Figure 29: Pharmaceuticals & Health Products- Gross Merchandise Volume (Millions), 2020-2029 Figure 30: Pharmaceuticals & Health Products- Average Order Value (US$), 2020-2029 Figure 31: Pharmaceuticals & Health Products- Order Frequency (Orders per Year), 2020-2029 Figure 32: Home Décor- Gross Merchandise Value (US$ Million), 2020-2029 Figure 33: Home Décor- Gross Merchandise Volume (Millions), 2020-2029 Figure 34: Home Décor- Average Order Value (US$), 2020-2029 Figure 35: Home Décor- Order Frequency (Orders per Year), 2020-2029 Figure 36: Clothing & Accessories- Gross Merchandise Value (US$ Million), 2020-2029 Figure 37: Clothing & Accessories- Gross Merchandise Volume (Millions), 2020-2029 Figure 38: Clothing & Accessories- Average Order Value (US$), 2020-2029 Figure 39: Clothing & Accessories- Order Frequency (Orders per Year), 2020-2029 Figure 40: Electronics- Gross Merchandise Value (US$ Million), 2020-2029 Figure 41: Electronics- Gross Merchandise Volume (Millions), 2020-2029 Figure 42: Electronics- Average Order Value (US$), 2020-2029 Figure 43: Electronics- Order Frequency (Orders per Year), 2020-2029 Figure 44: Other Product Category- Gross Merchandise Value (US$ Million), 2020-2029 Figure 45: Other Product Category- Gross Merchandise Volume (Millions), 2020-2029 Figure 46: Other Product Category- Average Order Value (US$), 2020-2029 Figure 47: Other Product Category- Order Frequency (Orders per Year), 2020-2029 Figure 48: Instant Bank Transfer- Gross Merchandise Value (US$ Million), 2020-2029 Figure 49: Instant Bank Transfer- Gross Merchandise Volume (Millions), 2020-2029 Figure 50: Instant Bank Transfer- Average Order Value (US$), 2020-2029 Figure 51: Wallets & Digital Payments- Gross Merchandise Value (US$ Million), 2020-2029 Figure 52: Wallets & Digital Payments- Gross Merchandise Volume (Millions), 2020-2029 Figure 53: Wallets & Digital Payments- Average Order Value (US$), 2020-2029 Figure 54: Credit & Debit Cards- Gross Merchandise Value (US$ Million), 2020-2029 Figure 55: Credit & Debit Cards- Gross Merchandise Volume (Millions), 2020-2029 Figure 56: Credit & Debit Cards- Average Order Value (US$), 2020-2029 Figure 57: Cash on Delivery- Gross Merchandise Value (US$ Million), 2020-2029 Figure 58: Cash on Delivery- Gross Merchandise Volume (Millions), 2020-2029 Figure 59: Cash on Delivery- Average Order Value (US$), 2020-2029 Figure 60: Gen Z (15–25) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 61: Gen Z (15–25) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 62: Gen Z (15–25) Age Group- Average Order Value (US$), 2020-2029 Figure 63: Millennials (26–39) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 64: Millennials (26–39) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 65: Millennials (26–39) Age Group- Average Order Value (US$), 2020-2029 Figure 66: Gen X (40–55) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 67: Gen X (40–55) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 68: Gen X (40–55) Age Group- Average Order Value (US$), 2020-2029 Figure 69: Baby Boomers (Above 55+) Age Group- Gross Merchandise Value (US$ Million), 2020-2029 Figure 70: Baby Boomers (Above 55+) Age Group- Gross Merchandise Volume (Millions), 2020-2029 Figure 71: Baby Boomers (Above 55+) Age Group- Average Order Value (US$), 2020-2029 Figure 72: Tier 1 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 73: Tier 1 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 74: Tier 1 Cities- Average Order Value (US$), 2020-2029 Figure 75: Tier 1 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 76: Tier 2 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 77: Tier 2 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 78: Tier 2 Cities- Average Order Value (US$), 2020-2029 Figure 79: Tier 2 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 80: Tier 3 Cities- Gross Merchandise Value (US$ Million), 2020-2029 Figure 81: Tier 3 Cities- Gross Merchandise Volume (Millions), 2020-2029 Figure 82: Tier 3 Cities- Average Order Value (US$), 2020-2029 Figure 83: Tier 3 Cities- Order Frequency (Orders per Year), 2020-2029 Figure 84: Inventory Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 85: Inventory Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 86: Inventory Model- Average Order Value (US$), 2020-2029 Figure 87: Hyperlocal Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 88: Hyperlocal Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 89: Hyperlocal Model- Average Order Value (US$), 2020-2029 Figure 90: Multi-vendor Platform Model- Gross Merchandise Value (US$ Million), 2020-2029 Figure 91: Multi-vendor Platform Model- Gross Merchandise Volume (Millions), 2020-2029 Figure 92: Multi-vendor Platform Model- Average Order Value (US$), 2020-2029 Figure 93: Other Business Models- Gross Merchandise Value (US$ Million), 2020-2029 Figure 94: Other Business Models- Gross Merchandise Volume (Millions), 2020-2029 Figure 95: Other Business Models- Average Order Value (US$), 2020-2029 Figure 96: Delivery Time In 30 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Figure 97: Delivery Time In 30 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Figure 98: Delivery Time In 30 Minutes- Average Order Value (US$), 2020-2029 Figure 99: Delivery Time In 30 Minutes- Order Frequency (Orders per Year), 2020-2029 Figure 100: Delivery Time 30–60 Minutes- Gross Merchandise Value (US$ Million), 2020-2029 Figure 101: Delivery Time 30–60 Minutes- Gross Merchandise Volume (Millions), 2020-2029 Figure 102: Delivery Time 30–60 Minutes- Average Order Value (US$), 2020-2029 Figure 103: Delivery Time 30–60 Minutes- Order Frequency (Orders per Year), 2020-2029 Figure 104: Delivery Time In 3 Hours- Gross Merchandise Value (US$ Million), 2020-2029 Figure 105: Delivery Time In 3 Hours- Gross Merchandise Volume (Millions), 2020-2029 Figure 106: Delivery Time In 3 Hours- Average Order Value (US$), 2020-2029 Figure 107: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029 Figure 108: Spain Quick Commerce – Average Subscription Uptake, 2024 Figure 109: Spain Quick Commerce- Average Subscription Uptake by Age Group, 2024 Figure 110: Spain Quick Commerce- Average Subscription Uptake by Location, 2024 Figure 111: Spain Quich Commerce- Average Delivery Time, 2024 Figure 112: Spain Quick Commerce Segment Share by Product Type, 2024 Figure 113: Spain Quick Commerce Segment Share by Payment Method, 2020-2029 Figure 114: Spain Quick Commerce Segment Share by Age Group, 2024 Figure 115: Spain Quick Commerce Segment Share by Location, 2020-2029 Figure 116: Spain Quick Commerce Segment Share by Business Model, 2024 Figure 117: Spain Quick Commerce Segment Share by Delivery Time, 2020-2029
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