According to PayNXT360, the quick commerce market in Italy is expected to grow by 7.9% annually, reaching US$1,993.5 million by 2025. The quick commerce market in the country has experienced robust g...
According to PayNXT360, the quick commerce market in Italy is expected to grow by 7.9% annually, reaching US$1,993.5 million by 2025. The quick commerce market in the country 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 7.7% from 2025 to 2029. By the end of 2029, the quick commerce market is projected to expand from its 2024 value of US$1,847.2 million to approximately US$2,684.4 million. Key Trends & Drivers 1. Deepen retailer–platform partnerships to expand 30-minute grocery delivery • Italian supermarkets are utilizing multiple delivery platforms, rather than developing standalone quick-commerce apps, to offer 30-minute baskets in major cities. Carrefour Italia is a clear example: it has activated partnerships with Everli, Deliveroo, Eat, and Glovo, and, with Glovo, has launched “Carrefour Sprint” dark-store operations in Florence and Bologna, promising delivery in under 30 minutes and offering more than 3,500 SKUs. Other cooperatives and groups, such as Gruppo VéGé and CRAI, have also signed quick-commerce agreements with Glovo, Everli, Eat, and Alfonsino, including 30-minute delivery from selected stores. • Italy’s grocery market is fragmented across national chains (Conad, Coop, Selex, Carrefour, Esselunga, Gruppo VéGé, Crai, etc.), and most retailers lack the scale to build their own dense rider networks and dark-store infrastructure. Partnering with multi-category apps like Glovo and Eat enables them to integrate ultra-fast delivery into existing stores while keeping capital expenditures low. Trade press commentary notes that Carrefour does not view these partners as competitors to its own site, but as complementary channels serving different missions: a full-basket shop on Carrefour, versus small, last-minute top-ups via partners. • Over the medium term, quick commerce in Italy is likely to be dominated by a B2B2C model where a handful of platforms control demand and logistics, and retailers supply assortment and local footprint. As more retail groups replicate the Carrefour and VéGé playbook, the bargaining power of leading platforms (Glovo, Eat, Deliveroo) will increase. At the same time, smaller chains may rely on multi-platform exposure to avoid dependence on a single app. Expect further expansion of dark-store collaborations (e.g., additional Carrefour Sprint-type sites) in densely urban areas and increased integration of retail media as illustrated by Glovo’s partnership with Mars, which explicitly includes Italy and focuses on in-app advertising. 2. Consolidate quick commerce around multi-vertical platforms after pure-play exits • The phase of highly funded pure-play rapid-grocery start-ups has ended in Italy. Turkish operator Getir, which had entered the Italian market with its own dark-store network, withdrew from Italy (along with Spain and Portugal) in 2023 as part of a broader retreat to its home market. The Italian business press also notes that the early “unicorns” of quick commerce did not all survive the post-start-up phase, even as the underlying model rooted itself in consumer behaviour. What remains is a smaller set of multi-category delivery platforms notably Glovo, Eat, and Deliveroo that have expanded from restaurant delivery into groceries, pharmacies, and everyday retail. • Post-pandemic normalisation reduced the exceptional demand that had supported standalone ultra-fast grocery apps with heavy promotion. At the same time, high labour and real-estate costs in Italian cities made dark-store economics challenging at scale. Platforms like Glovo and Deliveroo can amortise rider fleets, routing technology and customer acquisition across food delivery and non-food categories, giving them structurally lower unit costs than mono-category grocery start-ups. Italian commentary highlights how q-commerce has “taken root” as an evolution of e-commerce, but within a more selective set of operators. • Over the next few years, Italy’s quick-commerce market is likely to consolidate further around three to four large apps, plus a small group of specialized local players. Retailers considering launching their own rapid-delivery apps are more likely to join existing platforms or utilize white-label solutions. For investors and partners, the strategic question will shift from “which start-ups to back” to “how to work with a small number of platforms that control consumer access, data and last-mile execution.” Competitive differentiation is expected to shift toward assortment depth, retail-media monetization, and integration with loyalty programs, rather than simply focusing on delivery speed. 3. Segment delivery speed and missions within broader e-grocery and omnichannel models • In Italy, ultra-fast (≤30-minute) delivery is becoming an increasingly popular option within a portfolio of delivery speeds that span from sub-hourly top-ups to same-day and next-day full baskets. Carrefour Sprint and Crai–Glovo focus on 30-minute, small-basket missions from urban dark stores or proximate supermarkets. In parallel, Everli has built partnerships with 12 of the 13 largest Italian grocery retailers, providing scheduled same-day and next-day home delivery, and positioning itself as a leading e-grocery technology and fulfilment partner. Traditional retailer services such as Pam a Casa add pre-booked, time-slot delivery to this mix. • Italian households utilize digital grocery services in various ways: small, urgent top-ups (such as forgotten ingredients, drinks, and baby products) versus large weekly shopping trips. Q-commerce platforms are optimized for the first mission; scheduled e-grocery services, like Everli, and retailer sites are better suited for the second. Retailers and platforms are recognising that not every online order needs to be ultra-fast and that offering multiple service-level options can balance customer convenience with unit economics. Italian trade media emphasise that Carrefour, for instance, views partners such as Glovo and Everli as complementary to its own site, each targeting distinct needs and shopper profiles. • The next 2–4 years are likely to bring more explicit segmentation of delivery promises in Italy, with clear differentiation between “within 30 minutes,” “same-day,” and “next-day” propositions on the same retailer’s digital journey. Ultra-fast will be reserved for high-margin convenience missions and co-funded promotional campaigns (e.g., brand partnerships such as Glovo–Mars retail media campaigns that also cover Italy). At the same time, larger baskets will be nudged to scheduled slots. This will support better route density and labour planning, especially in suburban areas where demand is less dense. For quick-commerce operators, success will depend on how well they integrate into retailers’ omnichannel strategies (loyalty, pricing, assortment) rather than competing with standalone apps. 4. Respond to labour regulation and worker-welfare pressures in platform delivery • Working conditions for riders have become a central issue in Italy’s platform economy, including quick commerce. The first Fairwork Italy Ratings report (2024) assessed major platforms, including Glovo, Eat, and Deliveroo, on metrics such as pay, conditions, and contracts, and found wide variability in labour standards. Academic research on riders in Milan highlights occupational safety and health risks associated with time pressure, traffic exposure, and platform algorithms. In 2025, a Milan judge ordered Glovo’s Italian arm to urgently discuss heat-related risks with unions, following criticism of a “heat bonus” that was later suspended. This has contributed to broader scrutiny of the employment status and safety provisions for the company’s ~7,000 riders in Italy. Delivery Hero, Glovo’s parent, has increased provisions by hundreds of millions of euros to cover potential social security contributions, interest and fines related to rider status in Italy for 2016–2024. • Italy sits at the intersection of EU-level regulation on platform work and a strong domestic union presence. The EU Platform Work Directive, adopted in 2024, reinforces pressure on member states to address misclassification and ensure minimum standards. Nationally, rider-specific legislation and court cases have pushed platforms toward more formalised relationships and greater accountability on health and safety. At the same time, climate-related heatwaves in Italian cities have made the physical risks associated with fast delivery more visible, triggering increased public and political attention. • Over the coming years, labour regulation is likely to raise the structural cost base of quick commerce in Italy. Platforms may need to move more riders onto employee-like contracts or hybrid arrangements, invest in safety training and protective equipment, and adjust algorithms (e.g., removing incentives to ride in extreme heat). This will increase pressure to improve economics through higher average order values, delivery fee optimisation, and retail media revenues, rather than competing purely on free or discounted delivery. For retailers, the reputational risk of being associated with poor rider conditions may influence partner selection and contract terms. In aggregate, the market may see slower geographic rollout, but more robust and compliant operations in cities where q-commerce is already established. Competitive Landscape Over the next two to four years, Italy’s quick commerce is expected to stabilize around a hybrid model combining scheduled e-grocery and instant delivery. Consolidation will continue as platforms prioritize profitability and expand through retailer-integrated dark stores in high-density cities. Labour regulations and EU-level compliance will drive higher operational standards and cost rationalization. The competitive edge will increasingly depend on technology integration, data-sharing partnerships, and retail-media monetization rather than network expansion. Overall, Italy’s quick-commerce landscape is poised to evolve into a collaborative, retailer-led ecosystem where large marketplaces serve as enablers rather than disruptors, and service differentiation will be driven by convenience, compliance, and customer experience rather than pure speed. Current State of the Market • Italy’s quick commerce market has transitioned from early-stage experimentation to a consolidated, partnership-driven ecosystem centered around multi-category delivery platforms. Following the existing standalone operators like Getir and Gorillas, the market is now dominated by integrated platforms, such as Glovo, Deliveroo, Eat, and Everli, which directly link with supermarket networks and convenience retailers. • Quick commerce is primarily concentrated in urban areas such as Milan, Rome, Turin, Bologna, and Florence, where dense populations support viable 30-minute delivery operations. Rather than building independent dark-store networks, Italian retailers are increasingly relying on strategic partnerships to extend their last-mile capabilities, signaling a maturing phase marked by operational consolidation and selective city-level expansion. Key Players and New Entrants • Glovo remains the most prominent player, supported by Delivery Hero, with strong partnerships across Carrefour, Crai, and Gruppo VéGé for rapid grocery fulfillment. Deliveroo Hop and Eat have deepened grocery offerings through collaborations with Conad, Coop, and Pam Local. • Everli, based in Verona, serves as Italy’s leading scheduled e-grocery intermediary, powering delivery for over a dozen retail chains and expanding its footprint in smaller cities. On the retailer side, Carrefour, Esselunga, and Coop Italia continue integrating quick-commerce services through external platforms rather than building proprietary ones. • New local entrants, such as Alfonsino and Tulips, are targeting smaller municipalities with hyperlocal fulfillment models, but they remain niche compared to the scale of international aggregators. Recent Launches, Mergers, and Acquisitions • The Italian market has seen few new independent launches after 2023, reflecting a post-consolidation environment. Carrefour Sprint, launched in partnership with Glovo, remains a standout example of dark-store collaboration for 30-minute delivery. • Getir’s withdrawal in 2023 and Gorillas’ earlier exit marked the end of venture-backed pure plays, while platforms like Eat have pivoted into multi-category logistics to capture recurring grocery demand. Additionally, Glovo’s collaboration with Mars for retail media campaigns in Italy illustrates a growing shift toward monetization through in-app advertising and brand partnerships rather than new market entries. This report provides a detailed data-centric analysis of the quick commerce industry in Italy 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 Italy, 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: • Italy Quick Commerce Market Size and Growth Dynamics -- Gross Merchandise Value -- Gross Merchandise Volume -- Average Order Value -- Order Frequency per Year • Italy 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 • Italy Quick Commerce Market Segmentation by Payment Mode -- Instant Bank Transfer -- Wallets and Digital Payments -- Credit and Debit Cards -- Cash on Delivery • Italy Quick Commerce Market Segmentation by Age Group -- Gen Z (15–25) -- Millennials (26–39) -- Gen X (40–55) -- Baby Boomers (Above 55) • Italy Quick Commerce Market Segmentation by Location Tier -- Tier 1 Cities -- Tier 2 Cities -- Tier 3 Cities • Italy Quick Commerce Market Segmentation by Business Model -- Inventory-led Model -- Hyper-local Model -- Multi-vendor Platform Model -- Others • Italy Quick Commerce Market Segmentation by Delivery Time -- Delivery in 30 Minutes -- Delivery 30–60 Minutes -- Delivery in 3 Hours • Italy Quick Commerce Consumer Behavior and Demographics -- Average Subscription Uptake by Age Group -- Average Subscription Uptake by Location Tier -- Average Subscription Uptake -- Average Delivery Time • Italy Quick Commerce Revenue Structure and Composition -- Advertising Revenue -- Delivery Fee Revenue -- Subscription Revenue • Italy 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 • Italy 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 • Italy 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 • Italy 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 • Italy 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 • Italy 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. Italy Quick Commerce Industry Attractiveness 2.1 Italy Quick Commerce – Gross Merchandise Value Trend Analysis, 2020-2029 2.2 Italy Quick Commerce – Gross Merchandise Volume Trend Analysis, 2020-2029 2.3 Italy Quick Commerce – Average Order Value Trend Analysis, 2020-2029 2.4 Italy Quick Commerce – Order Frequency Trend Analysis, 2020-2029 2.5 Italy Quick Commerce – Market Share Analysis by Key Players, 2024 3. Italy Quick Commerce Operational KPIs 3.1 Italy Quick Commerce Revenue and Growth Trend, 2020-2029 3.2 Italy 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. Italy Quick Commerce Analysis by Product Type 4.1 Italy Quick Commerce Segment Share by Product Type, 2024 4.2 Italy 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 Italy 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 Italy 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 Italy 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 Italy 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 Italy 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 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Analysis by Payment Method 5.1 Italy Quick Commerce Segment Share by Payment Method, 2020-2029 5.2 Italy 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 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Analysis by Age Group 6.1 Italy Quick Commerce Segment Share by Age Group, 2024 6.2 Italy 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 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Analysis by Location 7.1 Italy Quick Commerce Segment Share by Location, 2020-2029 7.2 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Analysis by Business Model 8.1 Italy Quick Commerce Segment Share by Business Model, 2024 8.2 Italy 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 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Analysis by Delivery Time 9.1 Italy Quick Commerce Segment Share by Delivery Time, 2020-2029 9.2 Italy 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 Italy 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 Italy 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. Italy Quick Commerce Consumer Behaviour and Adoption 10.1 Italy Quick Commerce- Average Subscription Uptake, 2024 10.2 Italy Quick Commerce- Average Subscription Uptake by Age Group, 2024 10.3 Italy Quick Commerce- Average Subscription Uptake by Location, 2024 10.4 Italy Quick Commerce- Average Delivery Time, 2024 11. Further Reading 11.1 About PayNXT360 11.2 Related Research
Table 1: Italy Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Table 2: Italy Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Table 3: Italy Quick Commerce – Average Order Value (US$), 2020-2029 Table 4: Italy Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Table 5: Italy Quick Commerce Revenue and Growth Trend (US$ 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$), 2020-2029 Table 104: Delivery Time In 3 Hours- Order Frequency (Orders per Year), 2020-2029
Figure 1: PayNXT360’s Methodology Framework Figure 2: Italy Quick Commerce – Gross Merchandise Value (US$ Million), 2020–2029 Figure 3: Italy Quick Commerce – Gross Merchandise Volume (Millions), 2020-2029 Figure 4: Italy Quick Commerce – Average Order Value (US$), 2020-2029 Figure 5: Italy Quick Commerce – Order Frequency (Orders per Year), 2020-2029 Figure 6: Italy Quick Commerce – Market Share Analysis by Key Players (%), 2024 Figure 7: Italy Quick Commerce Revenue and Growth Trend (US$ Million), 2020-2029 Figure 8: Italy 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: Italy Quick Commerce – Average Subscription Uptake, 2024 Figure 109: Italy Quick Commerce- Average Subscription Uptake by Age Group, 2024 Figure 110: Italy Quick Commerce- Average Subscription Uptake by Location, 2024 Figure 111: Italy Quich Commerce- Average Delivery Time, 2024 Figure 112: Italy Quick Commerce Segment Share by Product Type, 2024 Figure 113: Italy Quick Commerce Segment Share by Payment Method, 2020-2029 Figure 114: Italy Quick Commerce Segment Share by Age Group, 2024 Figure 115: Italy Quick Commerce Segment Share by Location, 2020-2029 Figure 116: Italy Quick Commerce Segment Share by Business Model, 2024 Figure 117: Italy Quick Commerce Segment Share by Delivery Time, 2020-2029
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