Latin America Quick Commerce Market Size & Forecast by Value and Volume Across 100+ KPIs by Product Type, Payment Mode, Age Group, Location, Business Model, and Delivery Time - Databook Q1 2026 Update

Key Trends & Drivers

• Quick commerce in Latin America is increasingly delivered through broader digital ecosystems rather than standalone delivery apps. Rappi operates as a super-app across Colombia, Mexico, Brazil, Argentina, Chile, and other countries, combining food, grocery, pharmacy, travel, and financial services in a single interface. In Brazil, iFood is expanding beyond food delivery into payments and credit for restaurants and consumers. Meanwhile, Mercado Libre in Brazil, Mexico, and Argentina utilizes Mercado Envios logistics and Mercado Pago for same-day or next-day ecommerce fulfillment at scale, handling around 1.8 billion parcels in 2024, with 49% delivered the same or next day. Recent news of Amazon taking a US$25 million note in Rappi underscores the way global and regional ecosystems are linking last-mile capacity with broader ecommerce and payments plays.
• Two forces are central. First, ecommerce growth and mobile usage: Mexico’s ecommerce market, for example, grew by about 20% in 2024 to nearly MXN 790 billion (≈approximately US$39 billion), according to data reported by T21 and Mexico Business News, with over 60 million digital buyers. Similar double-digit growth is reported in Mercado Libre’s GMV across Brazil and Mexico. Second, payments and credit adoption: Mercado Pago, Rappi, and iFood’s financial products make it easier to bundle delivery, credit, and wallets. Meanwhile, iFood’s owner, Prosus, highlights rising order volumes and credit services as core growth pillars.
• Over the next 2-4 years, quick commerce in Brazil, Mexico, Colombia and Argentina is likely to be managed as one element within super-apps and marketplaces rather than a separate vertical. Rappi’s AI-enabled Turbo network and IPO ambitions, iFood’s multi-billion-real investment plan in Brazil, and Mercado Libre’s logistics and payments expansion all point to a small number of ecosystems controlling user access, data and fulfilment. For retailers and brands, this means negotiating with a few regional platforms that combine advertising, payments and instant delivery rather than dealing with many small local couriers.

• The LATAM quick-commerce model is shifting from a multitude of fragmented operators to a smaller set of scaled partnerships between platforms and retailers. In Brazil, Uber and iFood announced a strategic partnership in 2025: iFood users will be able to book Uber rides from the iFood app, and Uber users will access iFood’s food, grocery, pharmacy and convenience delivery inside Uber, effectively linking mobility with on-demand commerce. The same announcement notes that Meituan’s Keeta brand plans a five billion-real investment to enter Brazil’s delivery market, intensifying competition on a large scale rather than through small start-ups. In Mexico and Chile, Uber has already integrated Cornershop grocery partners into Uber Eats, creating a more unified grocery offering rather than parallel apps.
• The main driver is economics and scale. Running a dense network of dark stores and dedicated riders is capital-intensive, and as investors focus more on profitability, platforms seek to share assets. Uber brings demand and driver networks, while iFood, Rappi, and Cornershop bring merchant relationships and ordering interfaces. In Brazil, convenience chains such as OXXO have progressively linked their stores to Rappi, showing how retailers prefer to plug into existing delivery traffic rather than build their own last-mile operations. At the same time, large players like Meituan view Brazil as a market where their global playbook can be scaled, favoring larger platforms over smaller, independent ones.
• In markets such as Brazil, Mexico, and Chile, the next 2-4 years are likely to bring fewer but larger quick-commerce networks, stitched together through alliances (platform-platform, platform-retailer) and selective new entrants. Expect more situations where a single order can be routed through multiple partners (e.g., Uber ride-hailing, iFood delivery, and retailer inventory). Smaller standalone ultra-fast start-ups will find it harder to raise capital. At the same time, supermarkets, pharmacies, and convenience chains will increasingly use multi-platform strategies (such as Rappi, Uber, iFood, and Mercado Libre) instead of exclusive relationships.

• Quick commerce in Latin America is shifting from a focus on restaurant meals to a broader range of everyday retail tasks. Rappi’s current app positioning includes 10-minute Rappi Turbo deliveries, grocery baskets, 24/7 pharmacy and convenience products in markets such as Colombia, Mexico, Brazil, Chile and Peru. In Brazil, iFood is actively expanding into grocery, as illustrated by its minority stake in online supermarket player Shopper, which provides deeper exposure to planned grocery missions alongside on-demand restaurant orders. Mercado Libre is simultaneously raising the bar on “fast but not instant” ecommerce: its logistics arm, Mercado Envios, handled approximately 1.8 billion items in 2024, with nearly half delivered the same day or the next across Brazil, Mexico, Argentina, Chile, and Colombia.
• Three factors are key:

• Over the next 2-4 years, quick commerce in Brazil, Mexico, Colombia, and Chile is likely to be defined less by “meal delivery” and more by mission types, such as urgent medicine, top-up groceries, missing ingredients, small electronics, or pet products. Players that can manage cold chain, substitutions and on-shelf accuracy will strengthen their position with supermarkets and pharmacies. Fast next-day delivery from Mercado Libre and others will sit alongside sub-30-minute services from Rappi, iFood and Uber, giving consumers multiple speed-price trade-offs for similar baskets.

• LATAM quick-commerce platforms are facing more structured regulation and cost scrutiny, particularly in Mexico and Brazil, and are responding with technology and financial tools. In Mexico, Congress approved a labour reform in late 2024 to grant app-based workers (including those on Rappi and Uber) access to social security and benefits, moving away from an entirely informal model. In 2025, the Mexican government also proposed higher withholding taxes on marketplace transactions, prompting Mercado Libre to warn of potential negative impacts on ecommerce investment and SME sellers. At the same time, Rappi has rolled out AI-based demand forecasting and routing for Rappi Turbo across Latin America, while iFood and Prosus are expanding iFood Pago and other credit services for restaurants and consumers in Brazil.
• Governments in key markets are seeking to formalise platform work and tax flows as ecommerce becomes a larger part of the economy. Mexico’s labour and tax reforms explicitly target large digital platforms and their merchant bases. At the same time, higher logistics and credit costs are evident in Mercado Libre’s results, where the expansion of logistics and credit has weighed on margins despite strong revenue growth. This prompts platforms to utilize AI, enhanced route planning, and credit scoring to enhance unit economics.
• In Mexico, Brazil and Colombia, the next 2-4 years are likely to see more formal employment-like conditions for couriers, higher compliance costs and closer scrutiny of tax reporting. This will probably raise the minimum efficient scale for quick-commerce operations. Platforms with strong data, AI capabilities and access to capital for credit (Rappi, iFood, Mercado Libre) are better placed to absorb these costs and still offer competitive delivery fees. Smaller players may struggle to comply and could consolidate or reposition into niche services. For merchants, participation in quick commerce will increasingly come with structured tax reporting and fee transparency, as well as more access to working capital credit from these platforms.

Competitive Landscape

Current State of the Market

• The quick commerce segment in Latin America is evolving rapidly but remains concentrated among a few major players in major markets such as Brazil, Mexico and Colombia. Platforms that began in food delivery are extending into grocery, pharmacy and convenience goods.
• Logistics and last-mile costs remain high, and consumer expectations for sub-hour or same-day fulfilment are intensifying. Urban population density, mobile penetration and growth in digital payments enable this shift, but operational complexity and cost pressure persist.

Key Players and New Entrants

• Among the incumbent players, Rappi (Colombia-founded) operates across nine Latin American countries with its Turbo offering for very fast delivery. iFood (Brazil) maintains a leading share in food delivery in Brazil and is leveraging its infrastructure into adjacent quick commerce missions.
• Mercado Libre (with Mercado Pago and Mercado Envios) is expanding logistics and payments infrastructure in Brazil and Mexico, strengthening its readiness for quick-commerce scale. On the entrant side, global players such as Amazon are committing regional investments, while Chinese platform models (for example, via “low-cost” catalogue sellers) are increasing competitive intensity.

Recent Launches, Mergers, and Acquisitions

• In May 2025, Uber and iFood announced a strategic partnership in Brazil: iFood users will access Uber ride-hailing services directly within the iFood app, and Uber users will gain access to iFood’s food, grocery, and pharmacy delivery services within the Uber app.
• In September 2025, Amazon invested $ 25 million in Rappi via a convertible note, positioning itself for quick-commerce scale and broader logistics synergies. These moves reflect consolidation, alliance building and platform-ecosystem integration rather than hundreds of independent dark-store start-ups.

This title is a bundled offering, combining the following 6 reports, covering 600+ tables and 700+ figures:

Report Scope

Quick Commerce Market Size and Growth Dynamics

• Gross Merchandise Value
• Gross Merchandise Volume
• Average Order Value
• Order Frequency per Year

Quick Commerce Market Segmentation by Product Type

• Groceries and Staples
• Fruits and Vegetables
• Snacks and Beverages
• Personal Care and Hygiene
• Pharmaceuticals and Health Products
• Home Décor
• Clothing and Accessories
• Electronics
• Others

Quick Commerce Market Segmentation by Payment Mode

• Instant Bank Transfer
• Wallets and Digital Payments
• Credit and Debit Cards
• Cash on Delivery

Quick Commerce Market Segmentation by Age Group

• Gen Z (15-25)
• Millennials (26-39)
• Gen X (40-55)
• Baby Boomers (Above 55)

Quick Commerce Market Segmentation by Location Tier

• Tier 1 Cities
• Tier 2 Cities
• Tier 3 Cities

Quick Commerce Market Segmentation by Business Model

• Inventory-led Model
• Hyper-local Model
• Multi-vendor Platform Model
• Others

Quick Commerce Market Segmentation by Delivery Time

• Delivery in 30 Minutes
• Delivery 30-60 Minutes
• Delivery in 3 Hours

Quick Commerce Consumer Behavior and Demographics

• Average Subscription Uptake by Age Group
• Average Subscription Uptake by Location Tier
• Average Subscription Uptake
• Average Delivery Time

Quick Commerce Revenue Structure and Composition

• Advertising Revenue
• Delivery Fee Revenue
• Subscription Revenue

Quick Commerce Operational Metrics by Product Type

• Gross Merchandise Value by Product Type
• Gross Merchandise Volume by Product Type
• Average Order Value by Product Type
• Order Frequency by Product Type

Quick Commerce Operational Metrics by Payment Mode

• Gross Merchandise Value by Payment Mode
• Gross Merchandise Volume by Payment Mode
• Average Order Value by Payment Mode

Quick Commerce Operational Metrics by Age Group

• Gross Merchandise Value by Age Group
• Gross Merchandise Volume by Age Group
• Average Order Value by Age Group

Quick Commerce Operational Metrics by Location Tier

• Gross Merchandise Value by Location Tier
• Gross Merchandise Volume by Location Tier
• Average Order Value by Location Tier
• Order Frequency by Location Tier

Quick Commerce Operational Metrics by Business Model

• Gross Merchandise Value by Business Model
• Gross Merchandise Volume by Business Model
• Average Order Value by Business Model

Quick Commerce Operational Metrics by Delivery Time

• Gross Merchandise Value by Delivery Time
• Gross Merchandise Volume by Delivery Time
• Average Order Value by Delivery Time
• Order Frequency by Delivery Time

Reasons to buy

• 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.