# Vietnam Online Food Delivery Platforms Market --- ## Market Overview # CHAPTER 1 - Market Overview The Vietnam Online Food Delivery Platforms Market connects consumers, restaurants, cloud kitchens, couriers, payment providers, and advertisers through app-based ordering ecosystems. Approximately **350 million platform orders were completed in 2025**, based on triangulated GMV and average-order-value data. Commercial performance is driven by order frequency, restaurant density, delivery radius, promotions, digital payment conversion, and the ability to aggregate fragmented foodservice supply. Ho Chi Minh City and Hanoi accounted for an estimated **77% of national platform GMV in 2025**. Their population density, office employment, university communities, restaurant clusters, and established two-wheeler networks support higher courier utilization than provincial cities. Ho Chi Minh City remains the largest demand hub, while Hanoi exhibits strong beverage, lunch, and scheduled workplace-order demand, making both cities central to platform unit economics. Vietnam's E-Commerce Law, passed in December 2025 with **41 articles across 7 chapters**, becomes effective on July 1, 2026. The law strengthens platform responsibilities covering merchant identification, consumer protection, transaction records, cross-border operations, and digital accountability. Compliance will raise onboarding and data-governance costs, but it should also reduce informal competition and improve trust among consumers, merchants, payment institutions, and investors. The competitive structure shifted from four nationally visible platforms in 2020 to a two-platform concentration of approximately **96% of GMV in 2025**. Operators are consequently moving beyond delivery commissions toward advertising, sponsored discovery, subscriptions, loyalty, dine-out offers, and merchant analytics. The strategic contest is increasingly about controlling restaurant demand generation and consumer data, rather than only dispatching couriers efficiently. ## KPIs at a Glance * Market Value: USD 2,100 Mn (2025) * Dominant Region: Ho Chi Minh City (45% of 2025 market GMV) * Dominant Segment: Integrated Ordering and Delivery (fastest growing geography: Tier 2 and Emerging Cities) * Total Number of Players: 10 ## Future Outlook The Vietnam Online Food Delivery Platforms Market is forecast to expand from USD 2,100 Mn in 2025 to USD 4,711 Mn by 2031. The historical CAGR of 29.0% reflected pandemic-era habit formation, rapid merchant onboarding, and platform-funded promotions. The next phase will moderate to a forecast CAGR of 14.4%, but absolute annual additions remain substantial as platforms extend geographic coverage, increase order frequency, and convert more cash transactions into app-based payments and stored-value ecosystems. Growth through 2031 will increasingly depend on operational quality rather than subsidy intensity. Estimated annual order volume is projected to reach approximately 631 million transactions, while average order value rises from USD 6.00 in 2025 to USD 7.47 in 2031. Advertising, memberships, corporate meal programs, merchant software, and dine-out discovery should improve monetization. Investors should prioritize contribution margin, courier density, repeat ordering, merchant retention, advertising revenue, and compliance readiness alongside headline GMV growth. --- | | | | --- | --- | | **14.4%** Forecast CAGR | **USD 4,711 Mn** 2031 Projection | --- | | | | | | --- | --- | --- | --- | | Base Year **2025** | Historical Period **2020-2025** | Forecast Period **2026-2031** | Historical CAGR **29.0%** | --- ## Scope of the Report # CHAPTER 2 - Scope of the Market * **Geographic Coverage:** Vietnam * **Historical Period:** 2020-2025 * **Base Year:** 2025 * **Forecast Period:** 2026-2031 * **Market Segments Covered:** 7 primary segmentation dimensions (Solution Type, Deployment Model, End-Use Industry, Enterprise Size, Application, Revenue Model, Geography) * **Companies Covered:** Top 10 key players profiled * **Currency & Units:** USD, values expressed in USD Mn/Bn ### Segmentation Data Tree * Solution Type + Restaurant Marketplace - Marketplace Discovery - Pickup-Enabled Marketplace + Integrated Ordering and Delivery - Platform Courier Fulfillment - Merchant Courier Coordination + Merchant-Owned Aggregation - Chain-Owned Applications - White-Label Ordering Portals + Cloud Kitchen Marketplace - Single-Brand Virtual Kitchens - Multi-Brand Kitchen Networks * Deployment Model + Consumer Mobile Applications - Android Applications - iOS Applications + Mobile Web Platforms - Responsive Ordering Websites - Progressive Web Applications + Merchant Ordering Interfaces - Restaurant Tablets - Merchant Mobile Applications + API-Integrated Ordering - Point-of-Sale Integrations - Enterprise API Gateways * End-Use Industry + Independent Restaurants - Single-Location Merchants - Household Food Businesses + Chain Restaurants - Local Restaurant Chains - International Restaurant Chains + Cafes and Beverage Outlets - Coffee Shops - Tea and Juice Outlets + Cloud Kitchens - Single-Brand Kitchens - Multi-Brand Kitchens * Enterprise Size + Micro and Household Merchants - Household Kitchens - Street-Food Vendors + Small Restaurants - Single Outlets - Two-to-Five Outlet Groups + Mid-Sized Chains - Regional Chains - Citywide Brands + Large National Chains - National Quick-Service Chains - Diversified Foodservice Groups * Application + Prepared Meal Delivery - Lunch and Dinner Orders - Breakfast Orders + Beverage Delivery - Coffee Orders - Milk Tea and Juice Orders + Scheduled Group Ordering - Family Bundles - Event Orders + Corporate Meal Ordering - Recurring Office Meals - Meeting Catering * Revenue Model + Merchant Commissions - Percentage Commissions - Fixed Commissions + Delivery Fees - Consumer Delivery Charges - Distance Surcharges + Advertising and Sponsored Listings - Keyword Advertising - Promoted Placement + Subscriptions and Loyalty - Consumer Memberships - Merchant Service Plans * Geography + Ho Chi Minh City - Central Districts - Suburban Districts + Hanoi - Inner Districts - Outer Urban Districts + Other Tier 1 Cities - Da Nang and Hai Phong - Can Tho and Nha Trang + Tier 2 and Emerging Cities - Provincial Capitals - Peri-Urban Clusters --- ## Market Trajectory # Market Size, Growth Forecast and Trends This section evaluates the historical market size, analyzes year-over-year growth dynamics, and presents forecast projections supported by market performance indicators and demand-side drivers. ### Historical and Projected Market Size | Year | Market Size (USD Mn) | Status | | --- | --- | --- | | 2020 | 587 | Historical | | 2021 | 800 | Historical | | 2022 | 1,100 | Historical | | 2023 | 1,430 | Historical | | 2024 | 1,800 | Historical | | 2025 | 2,100 | Base Year | | 2026F | 2,436 | Forecast | | 2027F | 2,801 | Forecast | | 2028F | 3,208 | Forecast | | 2029F | 3,657 | Forecast | | 2030F | 4,150 | Forecast | | 2031F | 4,711 | Forecast | ### YoY Growth Rate | Year | YoY Growth (%) | Growth Phase | | --- | --- | --- | | 2021 | 36.3% | Pandemic Adoption | | 2022 | 37.5% | Merchant Expansion | | 2023 | 30.0% | Usage Normalization | | 2024 | 25.9% | High-Growth Consolidation | | 2025 | 16.7% | Maturing Market | | 2026F | 16.0% | Geographic Expansion | | 2027F | 15.0% | Frequency-Led Growth | | 2028F | 14.5% | Monetization Expansion | | 2029F | 14.0% | Scaled Operations | | 2030F | 13.5% | Market Deepening | | 2031F | 13.5% | Structural Growth | ### Market Value vs Volume Growth | Year | Market Value Growth (%) | Order Volume Growth (%) | Average Order Value Growth (%) | | --- | --- | --- | --- | | 2020 | - | - | - | | 2021 | 36.3% | 30.4% | 4.5% | | 2022 | 37.5% | 30.5% | 5.4% | | 2023 | 30.0% | 22.5% | 6.1% | | 2024 | 25.9% | 15.9% | 8.7% | | 2025 | 16.7% | 9.9% | 6.2% | | 2026 | 16.0% | 12.3% | 3.3% | | 2027 | 15.0% | 11.0% | 3.5% | | 2028 | 14.5% | 10.4% | 3.7% | | 2029 | 14.0% | 9.9% | 3.8% | | 2030 | 13.5% | 9.2% | 3.9% | ### Historical Market Performance (2020-2025) Historical expansion was led by rapid conversion from telephone and social-media ordering to structured applications. Estimated annual platform orders rose from 131.9 million in 2020 to 350.0 million in 2025. Market concentration also increased materially: the two leading platforms represented 82% of GMV in 2020 and approximately 96% in 2025. The largest annual increase occurred in 2022, when GMV expanded 37.5%. Growth moderated to 16.7% in 2025 as the market shifted from pandemic-era acquisition toward repeat ordering, improved delivery economics, and consolidation. ### Forecast Market Outlook (2026-2031) The market is forecast to sustain double-digit growth through 2031 as provincial penetration and order frequency offset declining promotional intensity. Average order value is projected to increase from USD 6.00 in 2025 to USD 7.47 in 2031, supported by beverage bundles, group orders, premium restaurants, and higher delivery-service tiers. Annual order volume is expected to exceed 630 million transactions by 2031. Advertising, merchant software, memberships, corporate meals, and dine-out discovery should contribute a larger share of platform revenue while improving the economics of customer acquisition. --- ## Market Breakdown # CHAPTER 4 - Market Breakdown The Vietnam Online Food Delivery Platforms Market is moving from promotion-led adoption toward frequency, merchant monetization, and operational density. The KPI trajectory highlights the relationship between order volume, consumer basket value, and platform concentration, which will determine long-term profitability and strategic entry options. | Year | Market Size (USD Mn) | YoY Growth (%) | Estimated Orders (Mn) | Average Order Value (USD) | Top-Two Platform GMV Share (%) | Period | | --- | --- | --- | --- | --- | --- | --- | | 2020 | 587 | - | 131.9 | 4.45 | 82% | Historical | | 2021 | 800 | 36.3% | 172.0 | 4.65 | 84% | Historical | | 2022 | 1,100 | 37.5% | 224.5 | 4.90 | 88% | Historical | | 2023 | 1,430 | 30.0% | 275.0 | 5.20 | 92% | Historical | | 2024 | 1,800 | 25.9% | 318.6 | 5.65 | 95% | Historical | | 2025 | 2,100 | 16.7% | 350.0 | 6.00 | 96% | Base Year | | 2026 | 2,436 | 16.0% | 392.9 | 6.20 | 96% | Forecast and Latest Operating KPIs | | 2027 | 2,801 | 15.0% | 436.3 | 6.42 | 95% | Forecast and Industry Outlook | | 2028 | 3,208 | 14.5% | 481.7 | 6.66 | 94% | Forecast and Industry Outlook | | 2029 | 3,657 | 14.0% | 529.2 | 6.91 | 93% | Forecast and Industry Outlook | | 2030 | 4,150 | 13.5% | 578.0 | 7.18 | 92% | Forecast and Industry Outlook | | 2031 | 4,711 | 13.5% | 630.7 | 7.47 | 91% | Forecast and Industry Outlook | **KPI 1, Estimated Orders:** **350 million orders, 2025, Vietnam**. Scale improves courier utilization and spreads technology costs across a larger transaction base. Beverages represented approximately 25% of Vietnamese platform orders in 2025, supporting repeatable, high-frequency demand. **KPI 2, Average Order Value:** **USD 6.00, 2025, Vietnam**. Basket expansion must be balanced against price sensitivity and promotion costs. Regional platforms emphasized affordability in 2025, increasing order frequency even where average order values remained under pressure. **KPI 3, Top-Two Platform GMV Share:** **96%, 2025, Vietnam**. Concentration strengthens network density but raises merchant dependency and entry barriers. GrabFood and ShopeeFood each represented approximately 48% of national GMV after Gojek exited in September 2024. --- --- ## Market Segmentation # CHAPTER 5 - Market Segmentation Framework The segmentation framework reflects how the Vietnam Online Food Delivery Platforms Market is developed, deployed, purchased, monetized, and scaled. The selected dimensions support market sizing, customer analysis, competitive benchmarking, pricing strategy, and geographic expansion decisions. ### Market Segmentation Summary | Dimension | Dominant Segment | Fastest Growing Segment | | --- | --- | --- | | Solution Type | Integrated Ordering and Delivery | Cloud Kitchen Marketplace | | Deployment Model | Consumer Mobile Applications | API-Integrated Ordering | | End-Use Industry | Independent Restaurants | Cafes and Beverage Outlets | | Enterprise Size | Small Restaurants | Micro and Household Merchants | | Application | Prepared Meal Delivery | Corporate Meal Ordering | | Revenue Model | Merchant Commissions | Advertising and Sponsored Listings | | Geography | Ho Chi Minh City | Tier 2 and Emerging Cities | ### Segmentation Framework | Priority | Level-1 Segment / Taxonomy Dimension | Level-2 Sub-Segments | | --- | --- | --- | | 1 | Solution Type | Restaurant Marketplace; Integrated Ordering and Delivery; Merchant-Owned Aggregation; Cloud Kitchen Marketplace | | 2 | Deployment Model | Consumer Mobile Applications; Mobile Web Platforms; Merchant Ordering Interfaces; API-Integrated Ordering | | 3 | End-Use Industry | Independent Restaurants; Chain Restaurants; Cafes and Beverage Outlets; Cloud Kitchens | | 4 | Enterprise Size | Micro and Household Merchants; Small Restaurants; Mid-Sized Chains; Large National Chains | | 5 | Application | Prepared Meal Delivery; Beverage Delivery; Scheduled Group Ordering; Corporate Meal Ordering | | 6 | Revenue Model | Merchant Commissions; Delivery Fees; Advertising and Sponsored Listings; Subscriptions and Loyalty | | 7 | Geography | Ho Chi Minh City; Hanoi; Other Tier 1 Cities; Tier 2 and Emerging Cities | ### Key Segmentation Takeaways Comprehensive analysis across all extracted segmentation dimensions providing insights into market structure, consumer preferences, and distribution patterns. **Integrated Ordering and Delivery** - This segment dominates because consumers typically expect one interface to provide restaurant discovery, payment, promotions, courier dispatch, tracking, and issue resolution. Platform-controlled fulfillment also produces richer demand data and more consistent service standards. The strongest sub-segment is platform courier fulfillment, which supports route density, service-level control, cross-selling, and centralized customer support. **Tier 2 and Emerging Cities** - This segment is forecast to grow fastest as internet access, digital payments, organized restaurant chains, and local merchant digitization expand beyond Hanoi and Ho Chi Minh City. Lower restaurant density initially constrains delivery economics, but localized menus, smaller delivery zones, electric two-wheelers, and merchant-assisted fulfillment can improve viability. Provincial capitals represent the most commercially attractive expansion sub-segment. --- ## Regional Analysis # Regional Analysis Vietnam was the fifth-largest food delivery platform market among the selected Southeast Asian peers in 2025, behind Indonesia, Thailand, the Philippines, and Malaysia. Its smaller current base is offset by high digital engagement, a concentrated urban restaurant ecosystem, and a projected 14.4% CAGR through 2031. ### KPI Summary * Focus Country Ranking: **5th** * Focus Country Market Size: **USD 2.1 Bn (2025)** * Focus Country CAGR (2026-2031): **14.4%** | Country | Market Size | CAGR (%) | Estimated Daily Orders (Mn) | Top-Two Platform GMV Share (%) | | --- | --- | --- | --- | --- | | Indonesia | USD 6.4 Bn | 13.0% | 2.92 | 83% | | Thailand | USD 5.1 Bn | 11.8% | 2.22 | 85% | | Philippines | USD 3.3 Bn | 14.8% | 1.46 | 78% | | Malaysia | USD 2.6 Bn | 12.5% | 0.89 | 86% | | Vietnam | USD 2.1 Bn | 14.4% | 0.96 | 96% | ### Market Position Vietnam ranked fifth among selected peers at USD 2.1 Bn in 2025, but generated nearly one million daily orders through dense urban two-wheeler delivery networks. ### Growth Advantage Vietnam's projected 14.4% CAGR exceeds Thailand's 11.8% and Malaysia's 12.5%, positioning the country as a high-growth challenger despite its smaller current GMV base. ([kenresearch.com](https://www.kenresearch.com/industry-reports/vietnam-online-food-delivery-platforms-market)) ### Competitive Strengths Vietnam combines 84.2% internet penetration, approximately 350 million annual platform orders, and 25% beverage-order participation, supporting frequency-led growth and merchant advertising economics. Comprehensive analysis of key factors shaping the market, including growth catalysts, operational challenges, and emerging opportunities across production, distribution, and consumer segments. --- ## Growth Drivers ### Growth Drivers, Challenges & Opportunities Comprehensive analysis of key factors shaping the Vietnam Online Food Delivery Platforms Market, including growth catalysts, operational challenges, and emerging opportunities across production, distribution, and consumer segments. ## Growth Drivers ### Expanding Connected Consumer Base Vietnam ended 2025 with **85.6 million internet users and 84.2% penetration**, enlarging the addressable ordering population. * Internet users increased from **79.8 million in January 2025 to 85.6 million by year-end**, improving platform reach beyond the two largest cities and lowering digital customer-acquisition barriers. * Vietnam's digital economy was estimated at **USD 39 Bn in 2025**, supporting integrated payments, loyalty, advertising, and data-driven merchant services that increase platform monetization options. * Retail e-commerce exceeded approximately **USD 25 Bn in 2025**, familiarizing consumers and small merchants with app-based transactions, digital promotions, and platform-mediated fulfillment. ### Higher Ordering Frequency and Beverage Demand National food delivery GMV reached **USD 2.1 Bn in 2025**, supported by affordability initiatives and frequency-led purchasing. * Vietnamese GMV expanded by **16.7% in 2025** despite 44 weather-disruption days, indicating resilient demand and continued consumer reliance on delivery platforms. * Beverages represented approximately **25% of Vietnamese platform orders in 2025**, creating repeatable coffee, milk-tea, and juice occasions with shorter consumption cycles than full meals. * A historical consumer survey found **51% of users ordered at lunchtime**, supporting dense office-zone demand and scheduled delivery models that improve rider productivity during predictable peaks. ### Super-App and Merchant Network Effects GrabFood and ShopeeFood controlled approximately **96% of national GMV in 2025**, producing substantial consumer, merchant, and courier liquidity. * Each leading platform held approximately **48% of 2025 GMV**, enabling broad restaurant selection, high order-matching density, and cross-subsidization with mobility, payments, and e-commerce services. * Be Group reported serving more than **20 million users across 28 provinces in 2025**, demonstrating that domestic super-app ecosystems can support food-delivery expansion beyond the leading foreign-owned platforms. * QR-code transaction value increased by more than **150% during the first nine months of 2025**, reducing checkout friction and supporting automated settlement between consumers, platforms, couriers, and merchants. --- ## Market Challenges ### Duopoly Concentration and Merchant Dependency Two platforms controlled approximately **96% of GMV in 2025**, limiting merchant bargaining power and raising entry barriers. * GrabFood and ShopeeFood each held **48% of national GMV**, giving both substantial influence over rankings, promotional participation, customer access, advertising visibility, and commission negotiations. * Gojek ceased Vietnam operations on **September 16, 2024**, showing that scale, local order density, and sustainable unit economics remain difficult for subscale multi-service challengers. * BAEMIN exited Vietnam on **December 8, 2023**, reinforcing the strategic risk of high promotional spending without sufficient courier liquidity, merchant penetration, or cross-service monetization. ### Margin Pressure and Service Reliability Affordability strategies accelerated Southeast Asian GMV to **USD 22.7 Bn in 2025**, but lower baskets intensify delivery-cost pressure. * Platforms increasingly target cost-sensitive consumers, which can reduce average order value even while order frequency rises, requiring tighter batching, routing, courier incentives, and merchant preparation performance. * Vietnam experienced **44 weather-disruption days in 2025**, increasing cancellations, delivery times, courier incentives, and customer-support costs while weakening service reliability during peak rain and storm periods. * The standard VAT rate remained temporarily reduced from **10% to 8% through end-2026** for eligible categories, creating future pricing uncertainty when temporary fiscal support expires. ### Stricter Platform, Data, and Food-Safety Compliance Vietnam's new E-Commerce Law contains **41 articles**, increasing platform accountability from July 2026. * The law was approved by **444 of 446 participating deputies**, signaling strong policy support for clearer merchant identification, transaction documentation, consumer protection, and platform responsibility. * The E-Commerce Law becomes effective on **July 1, 2026**, requiring operators to update merchant onboarding, complaint handling, data retention, cross-border governance, and compliance systems. * QR-code payment value rose by more than **150% in the first nine months of 2025**, expanding cybersecurity, fraud-monitoring, personal-data, and payment-dispute obligations across the delivery ecosystem. --- ## Market Opportunities ### Tier 2 City and Provincial Expansion Vietnam's internet penetration reached **84.2% at end-2025**, creating a broader provincial addressable market for localized delivery models. * Platforms can monetize provincial growth through narrower delivery zones, localized restaurant curation, merchant-assisted delivery, and lower-cost subscription plans tailored to smaller order-density clusters. * Domestic operators, regional restaurant chains, payment providers, and two-wheeler fleet partners benefit as Be Group's presence across **28 provinces in 2025** demonstrates expanding multi-service coverage. * Realization requires merchant digitization, reliable address mapping, provincial courier recruitment, digital-payment acceptance, and sufficient order clustering to keep delivery cost below consumer willingness to pay. ### Advertising and Demand-Orchestration Revenue Vietnam's two leading platforms controlled **96% of GMV in 2025**, creating high-value advertising inventory and merchant demand data. * Sponsored listings, keyword bidding, brand campaigns, menu analytics, and dine-out promotion can generate higher-margin revenue without requiring a proportional increase in courier kilometers. * Platforms, restaurant chains, consumer brands, and cloud kitchens benefit because integrated demand data links delivery behavior, search activity, promotions, category performance, and offline dining conversion. * Opportunity capture requires transparent ad metrics, merchant return-on-ad-spend tools, standardized attribution, and controls preventing paid ranking from undermining consumer trust or restaurant discovery quality. ### Corporate Meals, Subscriptions, and Group Ordering An estimated **350 million orders in 2025** provide sufficient scale for recurring meal plans, memberships, and business-account products. * Platforms can monetize predictable office lunches, meeting catering, family bundles, and membership plans through prepaid credits, reduced delivery fees, consolidated billing, and scheduled fulfillment. * Corporate employers, restaurant chains, cloud kitchens, payment providers, and courier fleets benefit from larger baskets, predictable time windows, lower customer-acquisition cost, and improved route planning. * Execution requires invoicing, company spending controls, dietary filters, multi-restaurant checkout, scheduled dispatch, service-level guarantees, and account-level analytics integrated with merchant preparation capacity. --- --- ## Competitive Landscape # CHAPTER 8 - Competitive Landscape Overview The competitive landscape is highly concentrated at the consumer-marketplace level, while niche merchant-delivery, expatriate-ordering, and enterprise-fulfillment providers remain fragmented. Entry barriers include order density, courier liquidity, restaurant breadth, promotion budgets, payment integration, mapping accuracy, brand trust, and regulatory compliance. * **Key players:** 10 * **New Entrants (last 5 yrs):** - ### Company Profiles (Top 10 Players) | Company Name | Market Share | Headquarters | Founding Year | Core Market Focus | | --- | --- | --- | --- | --- | | GrabFood | 48% | Singapore | 2012 | Integrated food ordering, courier fulfillment, payments, loyalty, and super-app services | | ShopeeFood | 48% | Singapore | 2021 | Food and beverage marketplace integrated with Shopee promotions and payments | | beFood | <4% | Ho Chi Minh City, Vietnam | 2018 | Domestic super-app food delivery, mobility, payments, and personalized meal discovery | | Loship | - | Ho Chi Minh City, Vietnam | 2017 | Local food, beverage, grocery, and on-demand urban delivery marketplace | | Capichi | - | Hanoi, Vietnam | 2019 | Multilingual restaurant ordering and delivery for expatriate and urban consumers | | Delivery K | - | - | - | Restaurant discovery and food ordering for Korean and international consumers | | Ahamove | - | Ho Chi Minh City, Vietnam | 2015 | On-demand merchant logistics and restaurant-controlled food-order fulfillment | | Lalamove Vietnam | - | Hong Kong | 2013 | On-demand merchant delivery supporting restaurant and catering fulfillment | | MyGo | - | Hanoi, Vietnam | 2019 | Viettel Post-backed mobility and on-demand delivery platform | | Gojek Vietnam | Historical | Jakarta, Indonesia | 2010 | Historical food-delivery and mobility benchmark, exited Vietnam in September 2024 | The report provides detailed cross-comparison of key players across 4 performance parameters to identify competitive strengths and weaknesses. ### Top 4 Cross-Comparison KPIs * Average Delivery Time * Active Merchant Coverage * Food Delivery GMV Growth * Contribution Margin per Order ### Analysis Covered * **Market Share Analysis:** Compares platform GMV concentration and competitive position across national operators * **Cross Comparison Matrix:** Benchmarks merchant coverage, fulfillment performance, monetization, and geographic reach * **SWOT Analysis:** Evaluates network advantages, operational weaknesses, opportunities, and competitive threats systematically * **Pricing Strategy Analysis:** Assesses commissions, delivery fees, subscriptions, promotions, and advertising models * **Company Profiles:** Reviews ownership, market focus, service portfolio, scale, and positioning --- --- ## Key Stakeholders # CHAPTER 10 - Key Target Audience Key stakeholders who can leverage from this market analysis for investment, strategy, and operational planning. * **Investors:** GMV growth, contribution margin, concentration, scalability, exit risk * **Corporates:** merchant acquisition, advertising returns, commissions, customer frequency, partnerships * **Government:** platform compliance, food safety, taxation, gig work, competition * **Operators:** courier density, delivery time, basket size, retention, batching * **Financial institutions:** payment volume, credit quality, merchant finance, cash conversion ### What You'll Gain * Market sizing and trajectory * Platform concentration analysis * Merchant monetization benchmarks * Regulatory obligation mapping * Geographic expansion priorities * CEO-grade risk assessment --- --- ## Research Methodology # CHAPTER 11 - Research Methodology ### Phase 1: Approach #### Desk Research * Reviewed national e-commerce policy publications * Mapped platform GMV and shares * Analyzed internet and payment indicators * Benchmarked Southeast Asian delivery markets #### Primary Research * Interviewed platform strategy and operations heads * Engaged restaurant commercial and digital managers * Consulted courier fleet and dispatch managers * Surveyed consumers and corporate meal buyers #### Validation and Triangulation * Validated findings across 356 respondents * Reconciled GMV, orders, and baskets * Cross-checked platform and merchant evidence * Stress-tested market concentration assumptions ### Phase 2: Market Size Estimation #### Top-Down Assessment * National food-delivery GMV benchmarked against digital economy activity * Demand allocated across cities, applications, and merchant categories * Internet, payment, population, and e-commerce indicators cross-checked #### Bottom-Up Modeling * Platform order volumes benchmarked by competitive GMV shares * Average order values assessed by city and merchant type * Annual orders multiplied by blended consumer basket values #### Forecasting and Scenario Analysis * Regression linked internet penetration, order frequency, and urbanization * Scenarios incorporated competition, regulation, pricing, and courier density * Baseline, optimistic, and constrained projections through 2031 ### Phase 3: Primary Research Coverage #### Scope Item / Segments Coverage spans the full Vietnam Online Food Delivery Platforms Market ecosystem from digital platforms and restaurant supply through courier fulfillment, payment, advertising, and consumer demand. * Platform Operators and Product Teams * Restaurant and Cloud Kitchen Merchants * Courier and Fleet Networks * Consumers and Corporate Buyers #### Sample Size A total of 356 respondents were engaged across stakeholder segments to ensure statistically robust coverage of the Vietnam Online Food Delivery Platforms Market. * Platform Operators and Product Teams - 78 respondents (Country Strategy Director, Product Operations Manager) * Restaurant and Cloud Kitchen Merchants - 96 respondents (Restaurant Owner, Digital Sales Manager) * Courier and Fleet Networks - 72 respondents (Fleet Operations Manager, Driver Community Lead) * Consumers and Corporate Buyers - 110 respondents (Frequent App User, Workplace Procurement Manager) #### Validation and Triangulation Validation compared respondent evidence across platform economics, merchant performance, delivery operations, payment behavior, and customer demand within the Vietnam Online Food Delivery Platforms Market. * Platform GMV reconciled with order volumes * Merchant sales matched courier fulfillment activity * Operational and strategic responses compared systematically * Basket values checked against consumer frequency --- ## Frequently Asked Questions # CHAPTER 12 - FAQs #### Q: How large is the Vietnam Online Food Delivery Platforms Market in 2025? **A:** The Vietnam Online Food Delivery Platforms Market is estimated at USD 2,100 Mn in 2025. The estimate measures the gross transaction value of prepared meals and beverages ordered through digital marketplaces and integrated delivery applications. It includes consumer food spend, applicable delivery charges, and platform-mediated transactions, while excluding grocery delivery, telephone orders, direct walk-in sales, and pure courier services without order aggregation. The result is triangulated from reported platform GMV, approximately 350 million annual orders, and a blended average order value of USD 6.00. **Data used:** USD 2,100 Mn market size (2025); approximately 350 million orders (2025) **So what:** The market has sufficient scale to support specialized advertising, payment, merchant-software, and corporate-meal business models. #### Q: What is the projected growth rate through 2031? **A:** The market is forecast to grow at a 14.4% CAGR from 2026 through 2031, reaching USD 4,711 Mn in 2031. Growth should moderate from the 29.0% historical CAGR recorded between 2020 and 2025 as consumer adoption matures and promotional spending becomes more disciplined. Expansion will be supported by higher ordering frequency, provincial coverage, beverage demand, digital payments, corporate accounts, subscriptions, and merchant advertising. Forecast value growth combines approximately 10% annual order-volume expansion with a 3% to 4% annual increase in blended basket value. **Data used:** 14.4% forecast CAGR (2026-2031); USD 4,711 Mn projection (2031) **So what:** Investors should assess whether platform monetization and contribution margin improve as growth shifts away from customer subsidies. #### Q: Which platforms lead the Vietnamese market? **A:** GrabFood and ShopeeFood jointly dominate the Vietnamese market, each representing approximately 48% of 2025 GMV. Their combined 96% share reflects extensive merchant networks, substantial courier liquidity, integrated payments, cross-platform promotions, and access to broader super-app or e-commerce ecosystems. BeFood is the largest visible domestic challenger, while Loship and several specialized platforms address narrower consumer or merchant segments. Recent exits by BAEMIN and Gojek demonstrate the difficulty of sustaining operations without sufficient transaction density, cross-service monetization, and long-term promotion funding. **Data used:** GrabFood share 48% (2025); ShopeeFood share 48% (2025) **So what:** New entrants require a differentiated demand pool or fulfillment model rather than a direct national-scale replication strategy. #### Q: Which geography offers the strongest expansion opportunity? **A:** Ho Chi Minh City remains the largest revenue pool, followed by Hanoi, but Tier 2 and emerging cities offer the fastest forecast growth. Provincial capitals benefit from rising internet access, digital payment adoption, organized restaurant chains, and growing consumer familiarity with super-app services. Their economics differ from the two main cities because lower order density increases courier idle time and delivery distance. Successful expansion therefore requires localized restaurant curation, compact delivery zones, merchant-assisted fulfillment, lower-cost memberships, and phased courier recruitment aligned with repeat demand. **Data used:** Ho Chi Minh City share 45% (2025 estimate); national internet penetration 84.2% (end-2025) **So what:** Provincial expansion should be sequenced city by city using order-density thresholds rather than pursued as a uniform nationwide rollout. #### Q: How will regulation affect market participants? **A:** Vietnam's E-Commerce Law becomes effective on July 1, 2026 and strengthens obligations for platform identification, merchant verification, consumer protection, transaction documentation, complaint handling, and cross-border accountability. Food-delivery platforms will need stronger onboarding controls, traceable restaurant information, transparent commercial terms, data-governance processes, and auditable transaction records. Compliance raises near-term technology and operating costs, particularly for smaller operators, but it can improve consumer confidence and reduce informal competition from unregistered merchants or platforms that do not meet national operating requirements. **Data used:** E-Commerce Law effective July 1, 2026; 41 articles across 7 chapters **So what:** Regulatory readiness will become an entry barrier and a source of differentiation for platforms serving national restaurant chains and financial partners. #### Q: Which revenue models will grow fastest? **A:** Merchant commissions and delivery fees remain the largest monetization sources, but advertising and sponsored listings are expected to grow fastest. Platforms control high-intent search traffic and can connect menu views, promotional exposure, order conversion, delivery behavior, and repeat purchasing. This creates monetizable inventory for restaurants, beverage brands, and consumer-goods advertisers. Subscription memberships, corporate meal accounts, restaurant analytics, and dine-out discovery provide additional recurring revenue. These models can improve gross margin because they do not always require proportional increases in delivery distance or courier incentives. **Data used:** Top-two platforms control 96% of GMV (2025); digital economy valued at USD 39 Bn (2025) **So what:** Platform valuations should increasingly reflect advertising and merchant-service revenue, not only food-delivery commissions. #### Q: What capabilities are required to compete successfully? **A:** Winning operators require consumer demand density, broad restaurant selection, reliable courier supply, competitive delivery times, accurate address mapping, integrated payments, fraud controls, and strong customer support. Commercial capabilities must include merchant acquisition, promotion optimization, sponsored discovery, subscription design, and restaurant performance analytics. Operators also need city-level contribution-margin discipline because national GMV can mask unprofitable delivery zones. Regulatory compliance, food-safety documentation, personal-data governance, and transparent merchant terms become increasingly important as the 2026 E-Commerce Law takes effect. **Data used:** Approximately 350 million platform orders (2025); top-two GMV concentration 96% (2025) **So what:** Competitive advantage depends on local network quality and monetization depth, not app functionality alone. --- ## Table of Contents # Table of Contents ## Market Assessment Phase ### 1. Executive Summary and Approach ### 2. Vietnam Online Food Delivery Platforms Market Overview #### 2.1 Key Insights and Strategic Recommendations #### 2.2 Vietnam Online Food Delivery Platforms Market Overview #### 2.3 Definition and Scope #### 2.4 Evolution of Market Ecosystem #### 2.5 Timeline of Key Regulatory Milestones #### 2.6 Value Chain and Stakeholder Mapping #### 2.7 Business Cycle Analysis #### 2.8 Policy and Incentive Landscape ### 3. Vietnam Online Food Delivery Platforms Market Analysis #### 3.1 Growth Drivers ##### 3.1.1 Expanding Connected Consumer Base ##### 3.1.2 Higher Ordering Frequency and Beverage Demand ##### 3.1.3 Super-App and Merchant Network Effects #### 3.2 Market Challenges ##### 3.2.1 Duopoly Concentration and Merchant Dependency ##### 3.2.2 Margin Pressure and Service Reliability ##### 3.2.3 Stricter Platform, Data, and Food-Safety Compliance #### 3.3 Market Opportunities ##### 3.3.1 Tier 2 City and Provincial Expansion ##### 3.3.2 Advertising and Demand-Orchestration Revenue ##### 3.3.3 Corporate Meals, Subscriptions, and Group Ordering #### 3.4 Market Trends ##### 3.4.1 Affordability-Led Order Frequency ##### 3.4.2 Advertising and Sponsored Discovery ##### 3.4.3 Platform Consolidation ##### 3.4.4 Digital Payment Integration #### 3.5 Government Regulation ##### 3.5.1 E-Commerce Platform Registration ##### 3.5.2 Merchant Identification Requirements ##### 3.5.3 Consumer Protection Obligations ##### 3.5.4 Personal Data and Transaction Governance ### 4. SWOT Analysis ### 5. Stakeholder Analysis ### 6. Porter's Five Forces Analysis ### 7. Vietnam Online Food Delivery Platforms Market Size #### 7.1 By Value #### 7.2 By Volume #### 7.3 By Average Order Value ### 8. Vietnam Online Food Delivery Platforms Market Segmentation #### 8.1 Solution Type ##### 8.1.1 Restaurant Marketplace ##### 8.1.2 Integrated Ordering and Delivery ##### 8.1.3 Merchant-Owned Aggregation ##### 8.1.4 Cloud Kitchen Marketplace #### 8.2 Deployment Model ##### 8.2.1 Consumer Mobile Applications ##### 8.2.2 Mobile Web Platforms ##### 8.2.3 Merchant Ordering Interfaces ##### 8.2.4 API-Integrated Ordering #### 8.3 End-Use Industry ##### 8.3.1 Independent Restaurants ##### 8.3.2 Chain Restaurants ##### 8.3.3 Cafes and Beverage Outlets ##### 8.3.4 Cloud Kitchens #### 8.4 Enterprise Size ##### 8.4.1 Micro and Household Merchants ##### 8.4.2 Small Restaurants ##### 8.4.3 Mid-Sized Chains ##### 8.4.4 Large National Chains #### 8.5 Application ##### 8.5.1 Prepared Meal Delivery ##### 8.5.2 Beverage Delivery ##### 8.5.3 Scheduled Group Ordering ##### 8.5.4 Corporate Meal Ordering #### 8.6 Revenue Model ##### 8.6.1 Merchant Commissions ##### 8.6.2 Delivery Fees ##### 8.6.3 Advertising and Sponsored Listings ##### 8.6.4 Subscriptions and Loyalty #### 8.7 Geography ##### 8.7.1 Ho Chi Minh City ##### 8.7.2 Hanoi ##### 8.7.3 Other Tier 1 Cities ##### 8.7.4 Tier 2 and Emerging Cities ### 9. Vietnam Online Food Delivery Platforms Market Competitive Analysis #### 9.1 Market Share of Key Players #### 9.2 Cross Comparison of Key Players ##### 9.2.1 Company Name ##### 9.2.2 Group Size ##### 9.2.3 Average Delivery Time ##### 9.2.4 Active Merchant Coverage ##### 9.2.5 Food Delivery GMV Growth ##### 9.2.6 Contribution Margin per Order #### 9.3 SWOT Analysis of Top Players #### 9.4 Pricing Analysis #### 9.5 Detailed Profile of Major Companies ##### 9.5.1 GrabFood ##### 9.5.2 ShopeeFood ##### 9.5.3 beFood ##### 9.5.4 Loship ##### 9.5.5 Capichi ##### 9.5.6 Delivery K ##### 9.5.7 Ahamove ##### 9.5.8 Lalamove Vietnam ##### 9.5.9 MyGo ##### 9.5.10 Gojek Vietnam ### 10. Vietnam Online Food Delivery Platforms Market End-User Analysis #### 10.1 Procurement Behavior of Key End-Users ##### 10.1.1 Consumer Restaurant Selection ##### 10.1.2 Merchant Platform Selection ##### 10.1.3 Corporate Meal Procurement ##### 10.1.4 Cloud Kitchen Channel Allocation #### 10.2 Corporate Spend Patterns ##### 10.2.1 Merchant Commission Expenditure ##### 10.2.2 Sponsored Listing Budgets ##### 10.2.3 Delivery Subsidy Allocation ##### 10.2.4 Payment and Software Costs #### 10.3 Pain Point Analysis by End-User Category ##### 10.3.1 Consumer Delivery Reliability ##### 10.3.2 Merchant Margin Compression ##### 10.3.3 Courier Income Volatility ##### 10.3.4 Corporate Billing Complexity #### 10.4 User Readiness for Adoption ##### 10.4.1 Digital Payment Readiness ##### 10.4.2 Provincial Consumer Readiness ##### 10.4.3 Merchant Technology Readiness ##### 10.4.4 Corporate Account Readiness #### 10.5 Post-Deployment ROI and Use Case Expansion ##### 10.5.1 Higher Consumer Order Frequency ##### 10.5.2 Merchant Advertising Adoption ##### 10.5.3 Corporate Meal Account Expansion ##### 10.5.4 Dine-Out Discovery Integration ### 11. Vietnam Online Food Delivery Platforms Market Future Size #### 11.1 By Value #### 11.2 By Volume #### 11.3 By Average Order Value ## Go-To-Market Strategy Phase ### 1. Whitespace Analysis and Business Model Canvas #### 1.1 Tier 2 City Platform Expansion #### 1.2 Corporate Meal Aggregation #### 1.3 Merchant Advertising Services #### 1.4 Subscription and Loyalty Programs ### 2. Customer Acquisition and Partnership Strategy #### 2.1 Restaurant and Cloud Kitchen Partnerships #### 2.2 Courier Fleet Development #### 2.3 Payment and Financial-Service Partnerships #### 2.4 Corporate Account Acquisition ### 3. Pricing and Monetization Strategy #### 3.1 Merchant Commission Architecture #### 3.2 Consumer Delivery Fee Design #### 3.3 Advertising and Sponsored Placement #### 3.4 Membership and Bundled Benefits ### 4. Operating Model and Technology Roadmap #### 4.1 Dispatch and Route Optimization #### 4.2 Merchant Integration and APIs #### 4.3 Fraud, Payment, and Data Controls #### 4.4 City-Level Performance Dashboards ### 5. Risk Mitigation and Execution Plan #### 5.1 Regulatory Compliance Roadmap #### 5.2 Merchant Concentration Risk #### 5.3 Courier Supply and Service Reliability #### 5.4 Unit Economics and Funding Discipline ### Disclaimer ### Contact Us