# Vietnam Online Grocery Market Outlook to 2026 --- ## Market Overview # CHAPTER 1 - Market Overview Vietnam Online Grocery Market operates as an app-led B2C GMV pool where platforms monetize recurring household demand through delivery fees, merchant commissions, advertising, and basket expansion across essential categories. Demand logic is underpinned by **78.44 Mn internet users** and **79.1% internet penetration** in early 2024, which materially lowers customer acquisition friction for supermarket apps, marketplace-led grocery, and quick-commerce formats. For operators, this matters because frequency categories such as staples, produce, and top-up baskets convert digital traffic into repeatable revenue more efficiently than discretionary e-commerce lines. The market is geographically concentrated in the Ho Chi Minh City and Hanoi corridor, where urban density, modern retail supply, and delivery economics are strongest. This concentration is reinforced by logistics capability, with Vietnam’s cold storage designed capacity rising **44.8%** during 2020-2023 as investors expanded temperature-controlled infrastructure. Commercially, this matters because chilled fulfillment, pick density, and shorter delivery radii improve service-level reliability in fresh categories, which are the hardest segment to digitize and the most important for increasing customer wallet share. Policy direction remains supportive but increasingly formalized. Decision **645/QD-TTg**, effective from **May 15, 2020**, set national targets for **55% of the population** to shop online by 2025 and for non-cash payments to reach **50%** of e-commerce transactions. This matters commercially because payment digitization reduces failed delivery risk, while policy-backed adoption targets support retailer investment in omnichannel systems, fulfillment software, and customer identity infrastructure rather than short-term promotion-led growth alone. Vietnam Online Grocery Market is also being shaped by a broader trade and industrial transition. In 2024, national goods trade approached **USD 800 Bn**, while industrial production rose **8.4%** over the first 11 months, improving the availability and organized distribution of packaged food, imported grocery, and household essentials. For investors and strategy teams, this matters because online grocery scale increasingly depends not only on consumer demand, but on retail-grade supply chain formalization, cross-category assortment depth, and faster replenishment economics. ## KPIs at a Glance * Market Value: USD 2,620 Mn (2024) * Dominant Region: Ho Chi Minh City (2024) * Dominant Segment: Fresh Produce & Vegetables/Fruits (2024); fastest growing: Meat, Seafood & Dairy * Total Number of Players: 10 ## Future Outlook Vietnam Online Grocery Market is projected to advance from **USD 2,620 Mn in 2024** to approximately **USD 7,096 Mn by 2030**, extending the platformization of routine household spending into a materially larger grocery profit pool. The market’s historical expansion was stronger, with a modeled **2019-2024 CAGR of 32.2%**, driven by pandemic-era onboarding, rapid marketplace scaling, and improved consumer familiarity with app-based fulfillment. Growth moderates in the forward period because the market is moving from trial and promotion-led acquisition toward more operationally disciplined expansion. Even so, repeat ordering, quick-commerce density, fresh-category trust, and payment digitization remain supportive of double-digit growth. The forecast period is anchored to a locked **2025-2030 CAGR of 18.1%**, which implies sustained category broadening rather than a one-time spike in online adoption. By 2030, the market should be more balanced across marketplaces, supermarket e-commerce, and retailer-owned apps, with order volume expansion remaining close to value growth and average order value improving gradually as protein, fresh, and health-linked categories deepen. Strategically, the next value creation phase will come from denser Tier-2 city operations, better cold-chain utilization, lower failed-delivery costs, and a healthier mix between frequency-led core grocery baskets and higher-margin adjacency categories. --- | | | | --- | --- | | **18.1%** Forecast CAGR | **$7,096 Mn** 2030 Projection | --- | | | | | | --- | --- | --- | --- | | Base Year **2024** | Historical Period **2019-2024** | Forecast Period **2025-2030** | Historical CAGR **32.2%** | --- ## Scope of the Report # CHAPTER 2 - Scope of the Market ### Segmentation Data Tree * **Product Type** + Fresh Produce + Meat and Seafood + Dairy and Eggs + Packaged Food and Staples + Beverages and Household Essentials * **Distribution Channel** + Online Grocery Marketplaces + Supermarket E-Commerce Platforms + Quick Commerce Apps + Retailer Mobile Applications + Social Commerce Grocery Sellers * **Customer Type** + Urban Working Households + Young Professionals + Expatriate Households + Family Grocery Buyers + Health-Conscious Consumers * **Purchase Occasion** + Weekly Household Replenishment + Same-Day Top-Up Shopping + Fresh Meal Preparation + Bulk Pantry Stocking + Festive and Family Gathering Purchases * **Price Tier** + Value Grocery + Mainstream Grocery + Premium Fresh Food + Imported Grocery + Organic and Specialty Grocery * **Packaging Format** + Loose Fresh Items + Pre-Packed Fresh Items + Branded Packaged Goods + Family-Size Packs + Ready-to-Cook Meal Kits * **Geography** + Ho Chi Minh City + Hanoi + Da Nang + Binh Duong and Dong Nai + Tier-2 Urban Centers --- ## 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. | Year | Market Size (USD Mn) | | --- | --- | | 2019 | 650.0 | | 2020 | 980.0 | | 2021 | 1,520.0 | | 2022 | 1,900.0 | | 2023 | 2,250.0 | | 2024 | 2,620.0 | | 2025F | 3,093.3 | | 2026F | 3,652.0 | | 2027F | 4,311.7 | | 2028F | 5,090.5 | | 2029F | 6,010.0 | | 2030F | 7,095.6 | | Year | YoY Growth Rate (%) | | --- | --- | | 2020 | 50.8% | | 2021 | 55.1% | | 2022 | 25.0% | | 2023 | 18.4% | | 2024 | 16.4% | | 2025F | 18.1% | | 2026F | 18.1% | | 2027F | 18.1% | | 2028F | 18.1% | | 2029F | 18.1% | | 2030F | 18.1% | | Year | Market Value Growth (%) | Order Volume Growth (%) | | --- | --- | --- | | 2019 | - | - | | 2020 | 50.8% | 56.4% | | 2021 | 55.1% | 47.5% | | 2022 | 25.0% | 25.0% | | 2023 | 18.4% | 20.0% | | 2024 | 16.4% | 14.8% | | 2025 | 18.1% | 17.0% | | 2026 | 18.1% | 17.0% | | 2027 | 18.1% | 17.0% | | 2028 | 18.1% | 17.0% | | 2029 | 18.1% | 17.0% | ### Historical Market Performance (2019-2024) Historical expansion was steepest in 2021, when pandemic-era behavioral reset and marketplace-led scaling pushed annual GMV growth to **55.1%**. Order volume rose from **78 Mn orders in 2019** to **310 Mn in 2024**, while average order value stayed in a narrow **USD 8.0-8.5** range, indicating that growth came primarily from frequency and customer activation rather than ticket inflation. The inflection after 2022 is important: the market moved from emergency adoption into a more operationally rational model, with growth normalizing but remaining structurally above broader retail expansion. The market also remained urban-heavy, with dense city demand supporting better pick efficiency and faster last-mile economics. ### Forecast Market Outlook (2025-2030) From 2025 onward, Vietnam Online Grocery Market is expected to compound at **18.1%**, reaching **USD 7,095.6 Mn by 2030**. Volume should remain close behind value growth, rising from **362.7 Mn orders in 2025** to an estimated **795.8 Mn by 2030**, while average order value edges up to about **USD 8.9**. This indicates a healthier mix rather than aggressive price inflation. Growth acceleration will be led by fresh and chilled categories, quick-commerce-led top-up missions, and wider adoption in Tier-2 urban corridors, where lower saturation and rising payment digitization create room for efficient network build-out. --- ## Market Breakdown # CHAPTER 4 - Market Breakdown Vietnam Online Grocery Market is entering a scale-up phase in which order density, basket quality, and fulfillment speed matter as much as topline expansion. For CEOs and investors, the operating KPI set below is more decision-useful than market size alone because it links GMV growth to network efficiency, monetization, and service architecture. | Year | Market Size (USD Mn) | YoY Growth (%) | Orders (Mn) | Average Order Value (USD/Order) | Express Delivery Share (%) | Period | | --- | --- | --- | --- | --- | --- | --- | | 2019 | 650.0 | - | 78.0 | 8.33 | 18% | Historical | | 2020 | 980.0 | 50.8% | 122.0 | 8.03 | 20% | Historical | | 2021 | 1,520.0 | 55.1% | 180.0 | 8.44 | 23% | Historical | | 2022 | 1,900.0 | 25.0% | 225.0 | 8.44 | 26% | Historical | | 2023 | 2,250.0 | 18.4% | 270.0 | 8.33 | 29% | Historical | | 2024 | 2,620.0 | 16.4% | 310.0 | 8.45 | 32% | Base Year | | 2025 | 3,093.3 | 18.1% | 362.7 | 8.53 | 35% | Forecast and Latest Operating KPIs | | 2026 | 3,652.0 | 18.1% | 424.4 | 8.60 | 38% | Forecast and Industry Outlook | | 2027 | 4,311.7 | 18.1% | 496.6 | 8.68 | 42% | Forecast and Industry Outlook | | 2028 | 5,090.5 | 18.1% | 581.1 | 8.76 | 46% | Forecast and Industry Outlook | | 2029 | 6,010.0 | 18.1% | 680.0 | 8.84 | 49% | Forecast and Industry Outlook | | 2030 | 7,095.6 | 18.1% | 795.8 | 8.92 | 52% | Forecast and Industry Outlook | **KPI 1, Orders:** **310 Mn orders, 2024, Vietnam**. Scale in online grocery is primarily a route-density story; higher order frequency improves picker utilization and lowers last-mile cost per drop. **78.44 Mn internet users (2024, Vietnam)** widened the digitally addressable order base. **KPI 2, Average Order Value:** **USD 8.45 per order, 2024, Vietnam**. Basket economics remain relatively low-ticket, so margin resilience depends on attachment categories, ad monetization, and delivery batching. **Almost 87% of Vietnamese aged 15+ held bank accounts in 2024**, improving checkout conversion and reducing cash handling costs. **KPI 3, Express Delivery Share:** **32%, 2024, Vietnam**. Faster missions expand top-up and fresh-category incidence, but they also require denser dark-store and chilled logistics footprints. Vietnam’s cold storage designed capacity rose **44.8% during 2020-2023**, supporting better chilled fulfillment economics. --- --- ## Market Segmentation # CHAPTER 5 - Market Segmentation Framework Comprehensive analysis across key dimensions providing insights into market structure, consumer preferences, and distribution patterns. | | | | | --- | --- | --- | | **No of Segments:** 7 | **Dominant Segment:** Product Type | **Fastest Growing Segment:** Distribution Channel | ### Segmentation Framework | Priority | Level-1 Segment / Taxonomy Dimension | Level-2 Sub-Segments | | --- | --- | --- | | 1 | Product Type | Fresh Produce; Meat and Seafood; Dairy and Eggs; Packaged Food and Staples; Beverages and Household Essentials | | 2 | Distribution Channel | Online Grocery Marketplaces; Supermarket E-Commerce Platforms; Quick Commerce Apps; Retailer Mobile Applications; Social Commerce Grocery Sellers | | 3 | Customer Type | Urban Working Households; Young Professionals; Expatriate Households; Family Grocery Buyers; Health-Conscious Consumers | | 4 | Purchase Occasion | Weekly Household Replenishment; Same-Day Top-Up Shopping; Fresh Meal Preparation; Bulk Pantry Stocking; Festive and Family Gathering Purchases | | 5 | Price Tier | Value Grocery; Mainstream Grocery; Premium Fresh Food; Imported Grocery; Organic and Specialty Grocery | | 6 | Packaging Format | Loose Fresh Items; Pre-Packed Fresh Items; Branded Packaged Goods; Family-Size Packs; Ready-to-Cook Meal Kits | | 7 | Geography | Ho Chi Minh City; Hanoi; Da Nang; Binh Duong and Dong Nai; Tier-2 Urban Centers | ### Key Segmentation Takeaways Comprehensive analysis across all extracted segmentation dimensions providing insights into market structure, consumer preferences, and distribution patterns. **Product Type** - Product Type is the dominant segmentation dimension because online grocery demand in Vietnam is driven by recurring household needs, freshness expectations, and basket composition. Packaged food and staples remain central to order frequency and basket reliability, while fresh produce, meat, seafood, dairy, and household essentials shape platform differentiation, fulfillment standards, and repeat purchasing behavior. **Distribution Channel** - Distribution Channel is the fastest growing segmentation dimension as Vietnamese consumers increasingly shift from offline wet markets and supermarkets toward app-based ordering, supermarket e-commerce, and rapid delivery models. Quick commerce apps are the fastest-growing sub-segment, supported by urban convenience demand, mobile payment adoption, dense delivery networks, and rising expectations for same-day grocery fulfillment. --- ## Regional Analysis # Regional Analysis Within a relevant Southeast Asian peer set, Vietnam Online Grocery Market sits in the upper-middle tier by size and remains one of the faster-growing opportunities outside Indonesia and the Philippines. Its position is supported by strong internet scale, high mobile connection intensity, and faster formalization of payments and fulfillment relative to its current market size. ### KPI Summary * Regional Ranking: **3rd** * Regional Share vs Global (Selected Southeast Asia Peer Set): **17.7%** * Vietnam CAGR (2025-2030): **18.1%** | Country | Market Size | CAGR (%) | Internet Users (Mn, 2024) | Mobile Connections (% of population, 2024) | | --- | --- | --- | --- | --- | | Indonesia | USD 5,000 Mn | 18.5% | 185.3 | 126.8% | | Philippines | USD 3,090 Mn | 24.6% | 86.98 | 99.3% | | Vietnam | USD 2,620 Mn | 18.1% | 78.44 | 169.8% | | Thailand | USD 2,180 Mn | 14.5% | 63.21 | 136.1% | | Malaysia | USD 1,910 Mn | 12.6% | 33.59 | 129.2% | ### Market Position Vietnam ranks **3rd** in the selected peer set at **USD 2,620 Mn**, ahead of Thailand and Malaysia, with scale supported by **78.44 Mn** internet users and stronger fresh-delivery formalization than smaller peers. ### Growth Advantage Vietnam’s **18.1%** 2025-2030 CAGR places it above Thailand and Malaysia, though below the Philippines, positioning it as a credible regional challenger rather than a mature, slow-growth market. ([kenresearch.com](https://www.kenresearch.com/philippines-online-grocery-delivery-platforms-market)) ([kenresearch.com](https://www.kenresearch.com/philippines-online-grocery-delivery-platforms-market?utm\_source=openai)) ### Competitive Strengths Vietnam combines **169.8%** mobile connection intensity, **almost 87%** adult payment-account ownership, and a **44.8%** rise in cold-storage designed capacity during 2020-2023, strengthening app access, checkout conversion, and fresh fulfillment 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 Grocery Market, including growth catalysts, operational challenges, and emerging opportunities across production, distribution, and consumer segments. ## Growth Drivers ### Digital Reach and Checkout Formalization Vietnam Online Grocery Market benefits from **78.44 Mn internet users (2024, Vietnam)** and **almost 87% bank-account ownership (2024, Vietnam)**, supporting scalable digital acquisition and lower transaction friction. * **73% smartphone penetration (2024, Vietnam)** and **98% mobile broadband coverage (2024, Vietnam)** make app-first grocery journeys commercially viable beyond affluent metro users, helping platforms widen order capture without building expensive web-led acquisition funnels. * The value of non-cash payments reached **26 times GDP (2024, Vietnam)**, while account ownership approached **87% of adults (2024, Vietnam)**; this improves prepayment rates, reduces courier cash handling, and lowers failed-delivery costs for operators. * **168.5 Mn mobile connections (2024, Vietnam)**, equivalent to **169.8% of population**, support high-frequency notifications, replenishment prompts, and loyalty loops, which matter because grocery conversion depends more on habit creation than one-time promotional spikes. ### Urban Density and Repeat Household Missions Commercial economics are reinforced by **38.87 Mn urban residents (2024, Vietnam)** and a strong two-city concentration pattern that supports faster fulfillment and denser route planning. * **39.8% of Vietnam’s population lived in urban centers in early 2024**, creating dense addressable clusters where basket batching and shorter drop distances improve last-mile gross margins compared with rural, low-density fulfillment. * VECOM notes that the e-commerce development gap between **Hanoi and Ho Chi Minh City** and the other **61 localities** remains large; for operators, this concentration supports stronger same-day economics and higher customer lifetime value in metro zones first. * Ho Chi Minh City alone recorded **1,206.4 trillion VND retail sales in 2024**, underscoring why modern trade and app-based grocery scale first in the southern metro corridor before diffusing into smaller cities. ### Cold-Chain Build-Out Expands Fresh Wallet Share Fresh category monetization is improving as cold-chain infrastructure expands, with designed cold-storage capacity up **44.8% during 2020-2023 in Vietnam**. * Vietnam had **over 100 commercial cold storage providers and 1.24 Mn pallet designed capacity in 2023**, improving the reliability of chilled and frozen last-mile delivery and widening the online addressable share of protein and dairy baskets. * The fastest-growing category in the locked market spine is **Meat, Seafood & Dairy at 22.5% CAGR (2024-2029, Vietnam Online Grocery Market)**; this matters because fresh protein raises basket quality and increases retention when service levels are credible. * Cold-chain investment is strategically important because online grocery margins improve when perishable shrink, refund rates, and failed freshness expectations fall; infrastructure expansion directly supports that operating leverage. --- ## Market Challenges ### Cash-on-Delivery Still Distorts Unit Economics Cash handling remains a structural drag, with COD still accounting for **over 80% of e-commerce payments in Vietnam (2022 reference cited in 2024 MOIT article)**. * MOIT cited average return rates of **15%-20% for COD orders**; this is economically material because online grocery has low-ticket baskets and thin contribution margins, so returns can erase platform take-rates quickly. * COD forces manual cash collection, reconciliation, and dispute handling at the courier layer, adding labor intensity and slowing working-capital conversion for both platforms and merchant partners. * Even where digital wallets are improving, legacy customer behavior persists; operators therefore need payment incentives and trust architecture, not only delivery speed, to structurally reduce cost-to-serve. ### Geographic Imbalance Limits National Scale Efficiency Vietnam Online Grocery Market remains metro-heavy, while VECOM highlights a large capability gap between the top **2 cities** and the other **61 localities**. * Although Vietnam’s population reached **101.11 Mn in 2024**, only about **39.8%** lived in urban centers at the start of 2024, limiting dense route economics outside major cities. (; ) * Lower-density districts require longer drop distances and weaker order clustering, which dilutes the economics of quick commerce, especially in fresh categories where chilled routing adds cost. * The commercial consequence is that many platforms can scale demand faster than they can scale profitable national fulfillment, creating a gap between GMV growth and sustainable contribution margins. ### Regulatory Tightening Raises Compliance Burden Vietnam is moving from promotion-led platform growth toward tighter digital supervision, with the new E-Commerce Law taking effect on **July 1, 2026**. * The passed law emphasizes risk-based supervision, data-driven post-inspection, clearer actor responsibilities, and financial obligation enforcement, raising compliance expectations for marketplaces, foreign platforms, and online sellers. * Decree **52/2024/ND-CP** and Circular **15/2024/TT-NHNN** strengthened the non-cash payment framework in 2024; this is positive structurally, but it also increases system, KYC, and reporting requirements across platform workflows. (; ) * For investors, the implication is clear: market leaders will be defined not just by GMV scale, but by who can absorb compliance cost while maintaining low-friction onboarding and payout processes. --- ## Market Opportunities ### Tier-2 City Expansion Through Structured Omnichannel Rollout Decision **645/QD-TTg** targeted **55% of the population shopping online by 2025**, leaving headroom for formal grocery expansion beyond the two core metros. * The monetizable angle is clear: platforms can extend repeat pantry and household orders into Tier-2 urban centers where customer acquisition costs are still below large-city saturation levels. * Who benefits most: supermarket chains, marketplace grocery tabs, and 3PLs that can repurpose existing store footprints and courier networks instead of funding greenfield dark-store capacity from scratch. * What must change: localized assortment planning, SLA discipline, and payment onboarding in secondary cities need to improve, otherwise national GMV growth will continue to outrun profitable geographic scale. ### Fresh Protein and Chilled Basket Premiumization Cold-chain expansion and category trust create room to monetize higher-value fresh baskets, especially where chilled infrastructure is already improving. * The revenue thesis is stronger in chilled categories because meat, seafood, dairy, and ready-to-cook formats carry higher average tickets and better cross-sell potential than dry pantry top-ups alone. * Investors, supermarket platforms, and specialized fulfillment operators benefit because cold-chain-backed assortment expands defensible value pools that are harder for asset-light sellers to replicate at consistent quality. * What must change: quality assurance, temperature traceability, and refund governance need to improve further so consumers treat fresh online grocery as a default channel rather than a backup convenience option. ### Social Commerce Grocery and Wallet-Led Basket Expansion Social-led commerce is becoming more transaction-ready, with **4,750 TikTok videos** and **900 livestream sessions** recorded during Online Friday 2024. * The monetizable angle is higher basket stimulation through discovery-led selling, couponing, and creator-driven trust, especially for imported, organic, premium, and specialty grocery segments. * Who benefits: marketplaces, wallet providers, and sellers with high visual merchandising potential can monetize traffic better than pure list-based grocery interfaces when customer discovery precedes replenishment. * What must change: fraud controls, post-sale accountability, and payment trust need to tighten so livestream commerce scales into repeat grocery missions rather than remaining a promotion-heavy discovery layer. --- --- ## Competitive Landscape # CHAPTER 8 - Competitive Landscape Overview Competition is fragmented across assortment, payment, delivery, and shopper-cohort niches; defensibility depends on fulfillment density, basket quality, retention mechanics, and the ability to absorb compliance and delivery complexity. * **Key players:** 10 * **New Entrants (last 5 yrs):** - ### Company Profiles (Top 10 Players) | Company Name | Market Share | Headquarters | Founding Year | Core Market Focus | | --- | --- | --- | --- | --- | | Beauty & Health | - | - | - | Personal care and wellness assortment | | Food & Beverages | - | - | - | Packaged food and drinks assortment | | Fresh Food | - | - | - | Fresh produce, meat, and seafood | | Household supplies | - | - | - | Cleaning and home essentials | | Others | - | - | - | Long-tail essential product mix | | Cash on Delivery | - | - | - | Payment collection and settlement model | | Online Payments | - | - | - | Digital checkout and wallet settlement | | 18-24 years | - | - | - | Early-adopter shopper cohort focus | | 25-34 years | - | - | - | Prime digital household spend cohort | | 35-44 years | - | - | - | Family-oriented recurring basket cohort | The report provides detailed cross-comparison of key players across 10 performance parameters to identify competitive strengths and weaknesses. ### Top 10 Cross-Comparison KPIs * Market Penetration * Category Breadth * Fresh Chain Capability * Supply Chain Efficiency * Last-Mile Speed * Technology Adoption * Customer Retention * Digital Payment Integration * Pricing Discipline * Regulatory Compliance ### Analysis Covered * **Market Share Analysis:** Quantifies category presence, channel leverage, and concentration across key players * **Cross Comparison Matrix:** Benchmarks assortment, payments, delivery, retention, economics, and execution quality consistently * **SWOT Analysis:** Evaluates structural strengths, vulnerabilities, platform fit, and expansion readiness objectively * **Pricing Strategy Analysis:** Compares discount intensity, margin resilience, basket architecture, and monetization models * **Company Profiles:** Summarizes positioning, operating focus, founding context, and strategic relevance clearly --- --- ## Key Stakeholders # CHAPTER 10 - Key Target Audience Key stakeholders who can leverage from this market analysis for investment, strategy, and operational planning. * **Investors:** CAGR, GMV quality, payback, unit economics * **Corporates:** assortment, SLA, basket size, retention * **Government:** digitization, compliance, payment formalization, resilience * **Operators:** cold chain, picking density, COD, shrink * **Financial institutions:** underwriting, cash conversion, demand visibility, risk ### What You'll Gain * Market sizing and trajectory * Policy and compliance mapping * Trade exposure indicators * Segment structure and levers * Competitive landscape shortlist * CEO-grade risk priorities --- --- ## Research Methodology # CHAPTER 11 - Research Methodology ### Phase 1: Approach #### Desk Research * Reviewed platform assortment and app traffic * Mapped grocery category monetization pools * Tracked payment and delivery regulations * Benchmarked cold-chain and quick-commerce expansion #### Primary Research * Interviewed e-commerce category managers * Spoke with omnichannel retail directors * Consulted last-mile operations heads * Validated with payment partnerships leads #### Validation and Triangulation * Validated findings through 293 interviews * Checked GMV against order density * Reconciled platform and retailer views * Stress-tested scenarios against macro signals ### Phase 2: Market Size Estimation #### Top-Down Assessment * B2C e-commerce scale to grocery share * Urban household demand and purchase missions * Population, internet, and payments indicators #### Bottom-Up Modeling * Platform-level GMV and order benchmarks * Delivery fee and basket monetization * Orders multiplied by realized basket value #### Forecasting and Scenario Analysis * Regression on internet, payments, urban density * Scenario drivers across cold-chain and COD * Baseline, optimistic, constrained outlook through 2030 ### Phase 3: Primary Research Coverage #### Scope Item / Segments Coverage spans the full value chain of Vietnam Online Grocery Market from digital demand creation through fulfillment and transaction settlement. * Marketplace and Super-App Grocery Platforms * Supermarket E-Commerce and Omnichannel Retailers * Fresh Supply, Cold-Chain and Fulfillment Networks * Last-Mile Delivery and Digital Payments Ecosystem #### Sample Size Total respondents were engaged across priority value-chain segments to ensure statistically robust coverage of Vietnam Online Grocery Market. * Marketplace and Super-App Grocery Platforms - 82 respondents (Category Manager, Growth Manager) * Supermarket E-Commerce and Omnichannel Retailers - 71 respondents (E-Commerce Director, Fulfillment Manager) * Fresh Supply, Cold-Chain and Fulfillment Networks - 64 respondents (Procurement Head, Cold-Chain Manager) * Last-Mile Delivery and Digital Payments Ecosystem - 76 respondents (Operations Manager, Payment Partnerships Lead) #### Validation and Triangulation Validation logic was applied across respondent cohorts and operating layers of Vietnam Online Grocery Market. * Cross-checked platform GMV with merchant sell-out * Reconciled upstream availability with downstream orders * Matched strategic claims against operating respondents * Tested basket economics against delivery feasibility --- ## Frequently Asked Questions # CHAPTER 12 - FAQs #### Q: How large is Vietnam Online Grocery Market in the base year? **A:** Vietnam Online Grocery Market is sized at **USD 2,620 Mn GMV in 2024**. This reflects B2C online grocery orders fulfilled through digital platforms, marketplace apps, quick-commerce operators, and retailer-owned e-commerce channels, while excluding prepared meal delivery and offline grocery sales. The market’s 2024 scale is commercially meaningful because it already supports several distinct monetization layers, including merchant commissions, ad slots, delivery fees, and higher-frequency replenishment. Structurally, the market is still urban-led, with Ho Chi Minh City and Hanoi representing the bulk of formal demand and providing the route density needed to make online grocery operationally viable at scale. **Data used:** USD 2,620 Mn GMV (2024); 310 Mn orders (2024) **So what:** The market is already large enough to justify targeted entry or expansion, but only with a clearly defined city-cluster and fulfillment strategy. #### Q: What is the forecast outlook for Vietnam Online Grocery Market through 2030? **A:** The base-case outlook points to Vietnam Online Grocery Market reaching approximately **USD 7,095.6 Mn by 2030**, implying a sustained **18.1% CAGR during 2025-2030**. Growth remains strong, but more disciplined than the earlier adoption phase. The forward curve assumes continued internet and smartphone penetration, wider payment formalization, and expanding chilled fulfillment in fresh categories, while also assuming that promotional intensity and pandemic-era abnormal demand do not repeat. By 2030, the market should be materially deeper across both Tier-1 and selected Tier-2 urban centers, with value growth still supported by order growth rather than pure price inflation. **Data used:** USD 7,095.6 Mn (2030F); 18.1% CAGR (2025-2030) **So what:** The opportunity remains high-growth, but future winners will be defined by execution quality and operating leverage, not only GMV capture. #### Q: How fast did Vietnam Online Grocery Market grow historically? **A:** The modeled historical CAGR for Vietnam Online Grocery Market was **32.2% between 2019 and 2024**, reflecting a rapid early-stage formalization cycle. Growth was strongest around the pandemic reset, then moderated as the market moved from forced trial into more habitual usage. That deceleration is not a weakness; it indicates the category is becoming more operationally rational. Historical growth was powered by rapid customer onboarding, marketplace traffic expansion, and increasing familiarity with app-led fulfillment. Going forward, the market is transitioning from customer acquisition-led growth to economics-led growth, with basket mix, delivery productivity, and repeat frequency becoming more important than pure user addition. **Data used:** USD 650.0 Mn (2019); USD 2,620.0 Mn (2024) **So what:** Historical growth validates demand, but the next phase requires operating discipline and sharper segment prioritization. #### Q: Where is the next major profit pool shift likely to occur? **A:** The next profit pool shift is likely to come from fresh protein, chilled grocery, and premium recurring baskets rather than dry-grocery volume alone. In the locked market spine, **Meat, Seafood & Dairy** is the fastest-growing segment at **22.5% CAGR through 2029**. That matters because chilled categories tend to support higher tickets, lower direct comparability with offline wet-market pricing, and stronger customer retention when service quality is reliable. As cold-chain investment improves product integrity and shrink control, platforms can capture a larger share of total household grocery spend instead of remaining a top-up or pantry-only channel. **Data used:** Meat, Seafood & Dairy CAGR 22.5% (2024-2029); cold-storage designed capacity +44.8% (2020-2023) **So what:** Capital should increasingly target fresh-chain capability, not only marketing-led traffic acquisition. #### Q: What is the most important structural risk for operators and investors? **A:** The most important structural risk is the combination of low basket economics and operational friction, especially where COD, returns, and low-density delivery overlap. MOIT cited COD usage above **80%** in e-commerce and average return rates of **15%-20%** for such transactions. In online grocery, these frictions matter more than in higher-ticket discretionary categories because each failed order absorbs picking, dispatch, and courier cost against a relatively small basket. Regulatory tightening also raises the cost of weak processes. Operators that do not reduce payment friction and failed-drop rates may grow GMV while still weakening contribution margins. **Data used:** COD share above 80% (2022 reference cited in 2024); return rate 15%-20% **So what:** Risk control in payments, refunds, and delivery quality is a core value-creation lever, not a back-office issue. #### Q: How does Vietnam compare with relevant Southeast Asian peers? **A:** Vietnam ranks in the upper-middle tier among relevant Southeast Asian peer markets. In this report’s selected peer set, Vietnam is positioned **3rd by market size**, behind Indonesia and the Philippines, but ahead of Thailand and Malaysia. That ranking is credible because Vietnam combines a sizable digital user base with unusually high mobile connection intensity and improving payment account ownership. Its growth profile also remains stronger than more mature peers. Relative to market size, Vietnam’s structural upside is attractive because penetration headroom still exists in Tier-2 cities and in fresh grocery baskets that have not yet fully migrated online. **Data used:** USD 2,620 Mn (Vietnam, 2024); 18.1% CAGR (Vietnam, 2025-2030) **So what:** Vietnam remains a regional challenger market with enough scale to matter and enough whitespace to outperform mature peers. --- ## Table of Contents # CHAPTER 14 - Table Of Contents ### Market Report Structure Comprehensive coverage across three strategic phases — Market Assessment, Go-To-Market Strategy, and Survey — delivering end-to-end insights from market analysis and execution roadmap to customer demand validation. ## Market Assessment Phase Supply-side and competitive intelligence covering market sizing, segmentation, competitive dynamics, regulatory landscape, and future forecasts. ### 1. Executive Summary and Approach ### 2. Vietnam Online Grocery Market Overview #### 2.1 Key Insights and Strategic Recommendations #### 2.2 Vietnam Online Grocery 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 Grocery Market Analysis #### 3.1 Growth Drivers ##### 3.1.1 Growth Drivers, Challenges & Opportunities ##### 3.1.2 Growth Drivers ##### 3.1.3 Increase in Internet Penetration ##### 3.1.4 Rising Disposable Incomes #### 3.2 Market Challenges ##### 3.2.1 Market Challenges ##### 3.2.2 Logistics and Infrastructure Issues ##### 3.2.3 Regulatory Barriers ##### 3.2.4 High Competition #### 3.3 Market Opportunities ##### 3.3.1 Market Opportunities ##### 3.3.2 Expansion in Tier-2 Cities ##### 3.3.3 Health and Organic Product Demand ##### 3.3.4 Technological Advancements #### 3.4 Market Trends ##### 3.4.1 Growth of E-commerce Platforms ##### 3.4.2 Preference for Quick Commerce ##### 3.4.3 Increasing Use of AI in Retail ##### 3.4.4 Personalization of Shopping Experiences #### 3.5 Government Regulation ##### 3.5.1 Regulations on E-commerce Transactions ##### 3.5.2 Safety Standards for Food Products ##### 3.5.3 Digital Payment Security Regulations ##### 3.5.4 Import and Export Control Laws ### 4. SWOT Analysis ### 5. Stakeholder Analysis ### 6. Porter's Five Forces Analysis ### 7. Vietnam Online Grocery Market Market Size, 2019-2024 #### 7.1 By Value #### 7.2 By Volume #### 7.3 By Average Selling Price ### 8. Vietnam Online Grocery Market Segmentation #### 8.1 Product Type ##### 8.1.1 Fresh Produce ##### 8.1.2 Meat and Seafood ##### 8.1.3 Dairy and Eggs ##### 8.1.4 Packaged Food and Staples ##### 8.1.5 Beverages and Household Essentials #### 8.2 Distribution Channel ##### 8.2.1 Online Grocery Marketplaces ##### 8.2.2 Supermarket E-Commerce Platforms ##### 8.2.3 Quick Commerce Apps ##### 8.2.4 Retailer Mobile Applications ##### 8.2.5 Social Commerce Grocery Sellers #### 8.3 Customer Type ##### 8.3.1 Urban Working Households ##### 8.3.2 Young Professionals ##### 8.3.3 Expatriate Households ##### 8.3.4 Family Grocery Buyers ##### 8.3.5 Health-Conscious Consumers #### 8.4 Purchase Occasion ##### 8.4.1 Weekly Household Replenishment ##### 8.4.2 Same-Day Top-Up Shopping ##### 8.4.3 Fresh Meal Preparation ##### 8.4.4 Bulk Pantry Stocking ##### 8.4.5 Festive and Family Gathering Purchases #### 8.5 Price Tier ##### 8.5.1 Value Grocery ##### 8.5.2 Mainstream Grocery ##### 8.5.3 Premium Fresh Food ##### 8.5.4 Imported Grocery ##### 8.5.5 Organic and Specialty Grocery #### 8.6 Packaging Format ##### 8.6.1 Loose Fresh Items ##### 8.6.2 Pre-Packed Fresh Items ##### 8.6.3 Branded Packaged Goods ##### 8.6.4 Family-Size Packs ##### 8.6.5 Ready-to-Cook Meal Kits #### 8.7 Geography ##### 8.7.1 Ho Chi Minh City ##### 8.7.2 Hanoi ##### 8.7.3 Da Nang ##### 8.7.4 Binh Duong and Dong Nai ##### 8.7.5 Tier-2 Urban Centers ### 9. Vietnam Online Grocery Market Competitive Analysis #### 9.1 Market Share of Key Players (Micro, Small, Medium, Large Enterprises) #### 9.2 Cross Comparison of Key Players ##### 9.2.1 Company Name ##### 9.2.2 Group Size (Large, Medium, or Small as per industry convention) ##### 9.2.3 Market Penetration ##### 9.2.4 Category Breadth ##### 9.2.5 Fresh Chain Capability ##### 9.2.6 Supply Chain Efficiency ##### 9.2.7 Last-Mile Speed ##### 9.2.8 Technology Adoption ##### 9.2.9 Customer Retention ##### 9.2.10 Digital Payment Integration #### 9.3 SWOT Analysis of Top Players #### 9.4 Pricing Analysis #### 9.5 Detailed Profile of Major Companies ##### 9.5.1 Beauty & Health ##### 9.5.2 Food & Beverages ##### 9.5.3 Fresh Food ##### 9.5.4 Household supplies ##### 9.5.5 Others ##### 9.5.6 Cash on Delivery ##### 9.5.7 Online Payments ##### 9.5.8 18-24 years ##### 9.5.9 25-34 years ##### 9.5.10 35-44 years ### 10. Vietnam Online Grocery Market End-User Analysis #### 10.1 Procurement Behavior of Key Ministries ##### 10.1.1 Adoption of E-grocery Platforms ##### 10.1.2 Focus on Local Produce ##### 10.1.3 Budget Allocation for Innovation ##### 10.1.4 Supply Chain Partnerships #### 10.2 Corporate Spend on Infrastructure and Energy ##### 10.2.1 Investment in Energy-efficient Logistics ##### 10.2.2 Expansion of Cold Chain Facilities ##### 10.2.3 Technological Upgradation in Warehouses ##### 10.2.4 Development of Eco-friendly Packaging #### 10.3 Pain Point Analysis by End-User Category ##### 10.3.1 Delivery Speed Concerns ##### 10.3.2 Product Availability Issues ##### 10.3.3 Price Sensitivity and Cost Control ##### 10.3.4 User Interface and Experience Challenges #### 10.4 User Readiness for Adoption ##### 10.4.1 Familiarity with Digital Payment Systems ##### 10.4.2 Comfort with App-based Shopping ##### 10.4.3 Awareness of Security Protocols ##### 10.4.4 Willingness to Experiment with New Platforms #### 10.5 Post-Deployment ROI and Use Case Expansion ##### 10.5.1 Measured Cost Savings ##### 10.5.2 Enhanced Customer Engagement ##### 10.5.3 Expanded Product Offerings ##### 10.5.4 Long-term Vendor Relationships ### 11. Vietnam Online Grocery Market Future Size, 2025-2030 #### 11.1 By Value #### 11.2 By Volume #### 11.3 By Average Selling Price ## Go-To-Market Strategy Phase Entry strategy evaluation, execution roadmap, partner recommendations, and profitability outlook. ### 1. Whitespace Analysis and Business Model Canvas #### 1.1 Opportunities in Health and Organic Segments #### 1.2 Business Model Adaptation #### 1.3 Target Untapped Urban Centers #### 1.4 Sustainable Practices Integration ### 2. Marketing and Positioning Recommendations #### 2.1 Leveraging Digital Platforms #### 2.2 Positioning as a Quality Leader #### 2.3 Developing Customer Loyalty Programs #### 2.4 Influencer and Affiliate Marketing Strategies ### 3. Distribution Plan #### 3.1 Expansion of Delivery Networks #### 3.2 Optimizing Inventory Levels #### 3.3 Partnering with Local Suppliers #### 3.4 Implementation of Advanced Logistics Solutions ### 4. Channel and Pricing Gaps #### 4.1 Identifying Pricing Strategies #### 4.2 Assessing Channel Effectiveness #### 4.3 Bridging Technology Gaps #### 4.4 Innovative Price Promotions ### 5. Unmet Demand and Latent Needs #### 5.1 Niche Market Exploration #### 5.2 Addressing Convenience Needs #### 5.3 Enhancing Product Range #### 5.4 Customizing for Local Taste and Preferences ### 6. Customer Relationship #### 6.1 Building Engagement Platforms #### 6.2 Tailoring Rewards Programs #### 6.3 Managing Customer Feedback #### 6.4 Integrating Customer Service Across Channels ### 7. Value Proposition #### 7.1 Emphasizing Value for Money #### 7.2 Stressing Freshness and Quality #### 7.3 Highlighting Ethical Sourcing #### 7.4 Enhancing Service Experience ### 8. Key Activities #### 8.1 Strengthening Brand Visibility #### 8.2 Collaborating with Industry Stakeholders #### 8.3 Network Expansion Initiatives #### 8.4 Aligning with Consumer Trends ### 9. Entry Strategy Evaluation #### 9.1 Domestic Market Entry Strategy ##### 9.1.1 Capitalizing on Local Partnerships ##### 9.1.2 Phased Geographic Expansion ##### 9.1.3 Utilizing Tech Adaptations ##### 9.1.4 Engaging in Community Initiatives #### 9.2 Export Entry Strategy ##### 9.2.1 Alignment with Export Regulations ##### 9.2.2 Identifying Strategic Alliances ##### 9.2.3 Understanding Target Market Dynamics ##### 9.2.4 Implementing International Marketing Campaigns ### 10. Entry Mode Assessment #### 10.1 Collaborative Joint Ventures #### 10.2 Establishing Subsidiaries #### 10.3 Licensing and Franchising #### 10.4 Direct and Indirect Exporting ### 11. Capital and Timeline Estimation #### 11.1 Financial Projections and Budgeting #### 11.2 Timelines for Key Milestones #### 11.3 Break-even Analysis #### 11.4 Sensitivity Analysis ### 12. Control vs Risk Trade-Off #### 12.1 Evaluating Market Uncertainties #### 12.2 Risk Mitigation Strategies #### 12.3 Control Mechanisms in Supply Chain #### 12.4 Assessing Political and Economic Risks ### 13. Profitability Outlook #### 13.1 Margin Improvement Strategies #### 13.2 Profitability Forecasts #### 13.3 Cost Management Techniques #### 13.4 Revenue Growth Projections ### 14. Potential Partner List #### 14.1 Identifying Synergistic Partnerships #### 14.2 Evaluating Partner Capabilities #### 14.3 Opportunities for Joint Ventures #### 14.4 Strategic Alliances Analysis ### 15. Execution Roadmap #### 15.1 Phased Plan for Market Entry ##### 15.1.1 Market Setup ##### 15.1.2 Market Entry ##### 15.1.3 Growth Acceleration ##### 15.1.4 Scale and Stabilize #### 15.2 Key Activities and Milestones ##### 15.2.1 Launch Strategic Initiatives ##### 15.2.2 Align Organizational Resources ##### 15.2.3 Implement Technology Solutions ##### 15.2.4 Scale Operations Efficiently ## Survey Phase Demand-side primary research conducted through structured interviews and online surveys with end users across priority metros and Tier 2/3 cities to capture consumption behavior, unmet needs, and purchase drivers. ### 1. Research Design and Sample Architecture #### 1.1 Research Objectives and Scope #### 1.2 Sample Size Rationale and Representation #### 1.3 Customer Cohort Definitions #### 1.4 Geographic Coverage — Priority Metros and Tier 2/3 Cities ### 2. Data Collection Methodology #### 2.1 Structured Interview Framework (50 In-Depth Interviews) ##### 2.1.1 Interview Guide and Question Design ##### 2.1.2 Respondent Recruitment and Screening Criteria ##### 2.1.3 Interview Execution and Quality Control ##### 2.1.4 Qualitative Coding and Insight Extraction #### 2.2 Online Survey Design (200 Structured Surveys) ##### 2.2.1 Survey Instrument and Attribute Coverage ##### 2.2.2 Platform Selection and Distribution Channels ##### 2.2.3 Response Validation and Data Cleaning ##### 2.2.4 Statistical Significance and Margin of Error ### 3. Customer Cohort Profiles #### 3.1 Cohort 1 — Large Enterprise End Users ##### 3.1.1 Cohort Definition and Size ##### 3.1.2 Key Demand Attributes ##### 3.1.3 Purchase Decision Drivers ##### 3.1.4 Represented Sample Size and Metro Distribution #### 3.2 Cohort 2 — Mid-Size Enterprise End Users ##### 3.2.1 Cohort Definition and Size ##### 3.2.2 Key Demand Attributes ##### 3.2.3 Purchase Decision Drivers ##### 3.2.4 Represented Sample Size and City Distribution #### 3.3 Cohort 3 — Small and Emerging Enterprise End Users ##### 3.3.1 Cohort Definition and Size ##### 3.3.2 Key Demand Attributes ##### 3.3.3 Purchase Decision Drivers ##### 3.3.4 Represented Sample Size and Tier 2/3 City Distribution #### 3.4 Cohort 4 — Institutional and Government End Users ##### 3.4.1 Cohort Definition and Size ##### 3.4.2 Key Demand Attributes ##### 3.4.3 Procurement and Compliance Drivers ##### 3.4.4 Represented Sample Size and Regional Distribution ### 4. Demand Attributes Analysis #### 4.1 Macroeconomic and Sectoral Growth Influences on Demand ##### 4.1.1 GDP and Industrial Output Linkages ##### 4.1.2 Urbanization and Infrastructure Expansion Impact ##### 4.1.3 Capital Investment Cycles and Procurement Timing ##### 4.1.4 Export and Import Dependency on Vietnam Online Grocery Market #### 4.2 End-User Behavior and Consumption Patterns ##### 4.2.1 Frequency and Volume of Purchases ##### 4.2.2 Seasonal and Cyclical Demand Variations ##### 4.2.3 Brand Loyalty vs. Price Sensitivity Trade-Off ##### 4.2.4 Switching Triggers and Retention Factors #### 4.3 Pricing Perception and Value Assessment ##### 4.3.1 Willingness to Pay Across Cohorts ##### 4.3.2 Price Benchmarking Against Substitutes ##### 4.3.3 Regional Pricing Disparities ##### 4.3.4 Total Cost of Ownership Perception #### 4.4 Quality, Safety, and Compliance Expectations ##### 4.4.1 Quality Standards and Certification Requirements ##### 4.4.2 Safety and Regulatory Compliance Awareness ##### 4.4.3 Perception of Domestic vs. Imported Offerings ##### 4.4.4 After-Sales Service and Support Expectations #### 4.5 Cultural, Regional, and Contextual Demand Factors ##### 4.5.1 Regional Industry Clusters and Demand Hotspots ##### 4.5.2 Cultural and Operational Norms Influencing Procurement ##### 4.5.3 Peer Influence and Industry Association Impact ##### 4.5.4 Digital Adoption and E-Procurement Readiness #### 4.6 Marketing, Awareness, and Channel Influence ##### 4.6.1 Impact of Trade Shows, Exhibitions, and Industry Events ##### 4.6.2 Role of Digital Marketing and Online Platforms ##### 4.6.3 Distributor and Channel Partner Influence on Purchase ##### 4.6.4 OEM and System Integrator Partnership Impact ### 5. Unmet Needs and Latent Demand Signals #### 5.1 Identified Gaps Between Current Supply and User Expectations #### 5.2 Latent Demand in Underpenetrated Segments #### 5.3 Willingness to Adopt New Formats or Technologies #### 5.4 Pain Points Surfaced Across Cohorts ### 6. Key Findings and Strategic Implications #### 6.1 Top Demand Drivers Ranked by Cohort #### 6.2 Barriers to Purchase and Adoption #### 6.3 High-Priority Customer Segments for Market Entry #### 6.4 Recommendations for Product, Pricing, and Channel Strategy ### Disclaimer ### Contact Us