# KSA Food Delivery Market Outlook & Forecast, By Service Type, Customer Type & Channel, 2026-2031

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## Market Overview

# CHAPTER 1 - Market Overview

The KSA Food Delivery Market functions as a three-sided platform economy connecting consumers, restaurants, and courier fleets through commission, delivery-fee, advertising, and subscription revenue. In 2025, approximately **one in five meal orders** was placed through aggregators, while platforms collectively exceeded **1 million average daily orders**. This scale makes repeat-order frequency, restaurant density, and dispatch efficiency the principal commercial levers. 

Demand and supply are concentrated in the largest urban corridors. Riyadh represented **44.45% of all delivery activity in Q4 2025**, followed by Makkah at 22.17% and the Eastern Province at 15.90%. The concentration allows high rider utilization and shorter delivery radii, but also concentrates subsidy spending and competitive pressure in three metropolitan clusters. 

Regulation is reshaping fleet economics and market access. The Transport General Authority began a phased model requiring non-Saudi drivers to work through licensed light-transport companies, while self-employment is reserved for Saudis; implementation included uniforms and identity-verification controls. The **14-month transition framework initiated in 2024** raises compliance costs but improves traceability, safety, and formalization. 

The strategic transition is from cash-and-dispatch convenience toward a digitally integrated commerce layer. Electronic payments reached **85% of Saudi retail payments in 2025**, while mada e-commerce transactions increased **71.0% year on year in Q3 2025**. These shifts support prepaid subscriptions, loyalty wallets, merchant finance, and ad monetization, reducing dependence on delivery fees alone. 

## KPIs at a Glance

* Market Value: USD 6,400 million (2025)
* Dominant Region: Riyadh Region (2025)
* Dominant Segment: Platform-to-Consumer Delivery (fastest growing)
* Total Number of Players: 58

## Future Outlook

The KSA Food Delivery Market is projected to expand from USD 6,400 Mn in 2025 to USD 12,650 Mn by 2031, representing a forecast CAGR of 12.03%. Growth is expected to normalize after the 36.0% step-up recorded in 2025 as free-delivery campaigns, sign-up vouchers, and restaurant discounts become less economically sustainable. Expansion will increasingly depend on higher order frequency, better rider batching, wider secondary-city coverage, and monetization beyond core delivery fees, particularly advertising, merchant software, subscriptions, payment partnerships, and sponsored discovery.

Volume is forecast to rise from approximately 418 million food-delivery orders in 2025 to 769 million by 2031, a 10.69% CAGR, while average basket value increases gradually from USD 15.31 to USD 16.45. Margin recovery should lag top-line growth because consumer price comparison remains intense and fleet compliance costs are rising. Platforms with first-party logistics, dense merchant networks, restaurant technology, and high-frequency subscription cohorts are best positioned to convert growth into durable contribution margins.

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| | |
| --- | --- |
| **12.03%** Forecast CAGR | **$12,650 Mn** 2031 Projection |

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| | | | |
| --- | --- | --- | --- |
| Base Year **2025** | Historical Period **2020-2025** | Forecast Period **2026-2031** | Historical CAGR **33.67%** |

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## Scope of the Report

# CHAPTER 2 - Scope of the Market

* **Geographic Coverage:** Kingdom of Saudi Arabia
* **Historical Period:** 2020-2025
* **Base Year:** 2025
* **Forecast Period:** 2026-2031
* **Market Segments Covered:** 7 primary segmentation dimensions (Service Type, Customer Type, Cuisine Category, Delivery Model, Revenue Model, Ordering Channel, Geography)
* **Companies Covered:** Top 10 key players profiled
* **Currency & Units:** USD, values expressed in USD Mn/Bn

### Segmentation Data Tree

* Service Type
 + Platform-to-Consumer Delivery
 - Marketplace Aggregators
 - Integrated Fleet Platforms
 + Restaurant-to-Consumer Delivery
 - Chain-Owned Delivery
 - Independent Restaurant Delivery
 + Scheduled Food Delivery
 - Meal Plans
 - Corporate Catering Drops
 + Premium Occasion Delivery
 - Fine Dining Delivery
 - Dessert and Gifting Delivery
* Customer Type
 + Individual Consumers
 - Single-Person Orders
 - Household Orders
 + Corporate Customers
 - Employee Meals
 - Meeting and Event Orders
 + Hospitality and Events
 - Hotel Guest Orders
 - Private Event Catering
 + Institutional Buyers
 - Education Campuses
 - Healthcare Facilities
* Cuisine Category
 + Quick-Service Restaurants
 - Burgers and Fried Chicken
 - Pizza and Sandwiches
 + Local and Arabic Cuisine
 - Saudi Traditional Meals
 - Levantine and Gulf Cuisine
 + International Casual Dining
 - Asian Cuisine
 - European and American Cuisine
 + Desserts and Beverages
 - Specialty Coffee
 - Bakery and Desserts
* Delivery Model
 + Platform-Owned Fleet
 - Dedicated Riders
 - Outsourced Managed Fleets
 + Hybrid Fulfillment
 - Platform and Merchant Split
 - Dynamic Fleet Allocation
 + Merchant-Owned Fleet
 - Chain Restaurant Fleets
 - Independent Restaurant Couriers
 + Crowdsourced Delivery
 - Independent Saudi Couriers
 - Licensed Light-Transport Drivers
* Revenue Model
 + Commission-Led Marketplace
 - Percentage Commission
 - Tiered Merchant Commission
 + Delivery-Fee Monetization
 - Distance-Based Fees
 - Surge and Priority Fees
 + Subscription Revenue
 - Consumer Memberships
 - Merchant Service Plans
 + Advertising and Merchant Services
 - Sponsored Listings
 - POS and Analytics Services
* Ordering Channel
 + Mobile Applications
 - iOS Applications
 - Android Applications
 + Web Platforms
 - Consumer Web Ordering
 - Corporate Portals
 + Restaurant-Owned Digital Channels
 - Brand Applications
 - QR and Social Ordering
 + Conversational Commerce
 - Chat-Based Ordering
 - Voice-Assisted Ordering
* Geography
 + Riyadh Region
 - Riyadh City Core
 - Riyadh Periphery
 + Makkah Region
 - Jeddah
 - Makkah and Taif
 + Eastern Province
 - Dammam-Khobar-Dhahran
 - Jubail and Al Ahsa
 + Other Regions
 - Madinah and Qassim
 - Southern and Northern Regions

---

## Market Trajectory

# CHAPTER 3 - 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) | Period |
| --- | --- | --- |
| 2020 | 1,500 | Historical |
| 2021 | 2,000 | Historical |
| 2022 | 2,650 | Historical |
| 2023 | 3,550 | Historical |
| 2024 | 4,706 | Historical |
| 2025 | 6,400 | Base Year |
| 2026F | 7,350 | Forecast |
| 2027F | 8,320 | Forecast |
| 2028F | 9,370 | Forecast |
| 2029F | 10,470 | Forecast |
| 2030F | 11,550 | Forecast |
| 2031F | 12,650 | Forecast |

### YoY Growth Rate

| Year | YoY Growth Rate (%) |
| --- | --- |
| 2021 | 33.3% |
| 2022 | 32.5% |
| 2023 | 34.0% |
| 2024 | 32.6% |
| 2025 | 36.0% |
| 2026F | 14.8% |
| 2027F | 13.2% |
| 2028F | 12.6% |
| 2029F | 11.7% |
| 2030F | 10.3% |
| 2031F | 9.5% |

### Market Value vs Volume Growth

| Year | Market Value Growth (%) | Order Volume Growth (%) | Average Order Value Growth (%) |
| --- | --- | --- | --- |
| 2020 | - | - | - |
| 2021 | 33.3% | 30.5% | 2.2% |
| 2022 | 32.5% | 31.4% | 0.8% |
| 2023 | 34.0% | 32.2% | 1.3% |
| 2024 | 32.6% | 24.4% | 6.6% |
| 2025 | 36.0% | 41.2% | -3.7% |
| 2026F | 14.8% | 12.2% | 2.4% |
| 2027F | 13.2% | 11.5% | 1.5% |
| 2028F | 12.6% | 11.1% | 1.4% |
| 2029F | 11.7% | 10.7% | 1.0% |
| 2030F | 10.3% | 9.6% | 0.6% |

### Historical Market Performance (2020-2025)

Market value increased at a 33.67% CAGR during 2020-2025. The lowest annual expansion in the modeled series was 32.5% in 2022, followed by a 34.0% reacceleration in 2023 as restaurant supply and app usage broadened. The peak occurred in 2025 at 36.0%, when free delivery, sign-up incentives, and multi-platform consumer behavior accelerated order frequency. Demand remained concentrated in Riyadh, Makkah, and the Eastern Province, which together represented 82.52% of Q4 delivery activity.

### Forecast Market Outlook (2026-2031)

Growth is forecast to moderate from 14.8% in 2026 to 9.5% in 2031 as promotional intensity normalizes and penetration matures. The market is projected to reach USD 12,650 Mn by 2031 at a 12.03% CAGR. Order volume is expected to expand at 10.69% annually, while average order value rises by roughly 1.2% per year through improved mix, premium delivery options, and subscription-led retention. Profitability will depend on batching density, commission discipline, and non-delivery monetization.

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## Market Breakdown

# CHAPTER 4 - Market Breakdown

The KSA Food Delivery Market is moving from subsidy-led customer acquisition toward operational scale and monetization depth. For CEOs and investors, the critical variables are order density, basket economics, and the share of transactions completed through low-friction digital payments.

| Year | Market Size (USD Mn) | YoY Growth (%) | Platform Order Volume (Mn) | Average Order Value (USD) | Digital Payment Share (%) | Period |
| --- | --- | --- | --- | --- | --- | --- |
| 2020 | 1,500 | - | 105 | 14.29 | 54% | Historical |
| 2021 | 2,000 | 33.3% | 137 | 14.60 | 61% | Historical |
| 2022 | 2,650 | 32.5% | 180 | 14.72 | 67% | Historical |
| 2023 | 3,550 | 34.0% | 238 | 14.92 | 72% | Historical |
| 2024 | 4,706 | 32.6% | 296 | 15.90 | 77% | Historical |
| 2025 | 6,400 | 36.0% | 418 | 15.31 | 82% | Base Year |
| 2026 | 7,350 | 14.8% | 469 | 15.67 | 85% | Forecast and Latest Operating KPIs |
| 2027 | 8,320 | 13.2% | 523 | 15.91 | 87% | Forecast and Industry Outlook |
| 2028 | 9,370 | 12.6% | 581 | 16.13 | 89% | Forecast and Industry Outlook |
| 2029 | 10,470 | 11.7% | 643 | 16.28 | 91% | Forecast and Industry Outlook |
| 2030 | 11,550 | 10.3% | 705 | 16.38 | 92% | Forecast and Industry Outlook |
| 2031 | 12,650 | 9.5% | 769 | 16.45 | 93% | Forecast and Industry Outlook |

**KPI 1, Platform Order Volume:** **124 million orders, Q4 2025, Saudi Arabia**. High order density improves rider batching and lowers delivery cost per order, especially in Riyadh, Makkah, and the Eastern Province. The quarter grew 60% year on year across all regulated delivery activity. 

**KPI 2, Average Order Value:** **5.2% increase, FY2025, Jahez Group**. Basket growth supports commission revenue and advertising yield, but platform-wide discounting can mask underlying consumer willingness to pay. Jahez reported SAR 7.2 billion GMV and 111.6 million orders in FY2025. 

**KPI 3, Digital Payment Share:** **85% of retail payments, 2025, Saudi Arabia**. High electronic-payment adoption lowers cash-handling friction, enables subscription products, and improves fraud controls. The national share rose from 79% in 2024, reinforcing app-based checkout economics. 

---

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## 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:** Service Type | **Fastest Growing Segment:** Delivery Model |

### Segmentation Framework

| Priority | Level-1 Segment / Taxonomy Dimension | Level-2 Sub-Segments |
| --- | --- | --- |
| 1 | Service Type | Platform-to-Consumer Delivery; Restaurant-to-Consumer Delivery; Scheduled Food Delivery; Premium Occasion Delivery |
| 2 | Customer Type | Individual Consumers; Corporate Customers; Hospitality and Events; Institutional Buyers |
| 3 | Cuisine Category | Quick-Service Restaurants; Local and Arabic Cuisine; International Casual Dining; Desserts and Beverages |
| 4 | Delivery Model | Platform-Owned Fleet; Hybrid Fulfillment; Merchant-Owned Fleet; Crowdsourced Delivery |
| 5 | Revenue Model | Commission-Led Marketplace; Delivery-Fee Monetization; Subscription Revenue; Advertising and Merchant Services |
| 6 | Ordering Channel | Mobile Applications; Web Platforms; Restaurant-Owned Digital Channels; Conversational Commerce |
| 7 | Geography | Riyadh Region; Makkah Region; Eastern Province; Other Regions |

### Key Segmentation Takeaways

Comprehensive analysis across all extracted segmentation dimensions providing insights into market structure, consumer preferences, and distribution patterns.

**Service Type** - Platform-to-Consumer Delivery is the dominant revenue pool because aggregators combine demand discovery, payment orchestration, restaurant onboarding, and fleet dispatch in one interface. Scale advantages arise from higher order density and broader restaurant choice. Restaurant-to-consumer models retain relevance for major chains, but they lack the cross-brand demand aggregation and promotional reach of leading marketplaces.

**Delivery Model** - Platform-Owned Fleet and hybrid fulfillment are expanding fastest as operators seek tighter control over delivery time, rider utilization, and customer experience. The fastest-growing sub-segment is dynamic hybrid allocation, which switches orders between platform fleets, licensed logistics partners, and merchant couriers. This model improves peak-hour capacity without requiring every platform to carry a fully fixed rider cost base.

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## Regional Analysis

# CHAPTER 6 - Regional Analysis

Saudi Arabia ranks first among selected GCC food-delivery markets by 2025 GMV, supported by its population scale, high digital penetration, and rapid order-frequency growth. The Kingdom combines the largest addressable consumer base with deeper platform competition than smaller peers, although the UAE and Kuwait remain stronger on orders per capita. 

### KPI Summary

* Focus Country Ranking: **1st**
* Focus Country Market Size: **USD 6,400 Mn (2025)**
* Focus Country CAGR (2026-2031): **12.03%**

| Country | Market Size | CAGR (%) | Annual Food-Delivery Orders per Capita | Internet Penetration (%) |
| --- | --- | --- | --- | --- |
| Saudi Arabia | USD 6,400 Mn | 12.03% | 11.8 | 99.0% |
| United Arab Emirates | USD 3,200 Mn | 9.20% | 18.5 | 99.0% |
| Kuwait | USD 930 Mn | 6.30% | 15.3 | 99.0% |
| Qatar | USD 760 Mn | 10.10% | 16.8 | 99.0% |
| Oman | USD 480 Mn | 8.00% | 8.5 | 98.0% |
| Bahrain | USD 310 Mn | 7.40% | 17.2 | 99.0% |

### Market Position

Saudi Arabia ranks **1st** among selected GCC peers with USD 6,400 Mn in 2025 food-delivery GMV, supported by a population exceeding 35 million and 99% internet penetration. 

### Growth Advantage

Saudi Arabia's **12.03% forecast CAGR** exceeds Kuwait's 6.30% and the UAE's modeled 9.20%, reflecting lower maturity outside the largest cities and stronger recent order growth. 

### Competitive Strengths

Competitive advantages include **85% electronic-payment penetration**, 99% internet reach, and 124 million regulated delivery orders in Q4 2025, enabling dense dispatch networks and scalable subscription economics. 

Comprehensive analysis of key factors shaping the market, including growth catalysts, operational challenges, and emerging opportunities across production, distribution, and consumer segments.

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## Growth Drivers

# CHAPTER 7 - Growth Drivers, Challenges & Opportunities

Comprehensive analysis of key factors shaping the KSA Food Delivery Market, including growth catalysts, operational challenges, and emerging opportunities across production, distribution, and consumer segments.

## Growth Drivers

### Mobile-First Digital Consumption

Near-universal connectivity expands the reachable consumer base, with **99% internet penetration (2024, Saudi Arabia)** supporting app-led ordering. 

* Mobile phones represented **99.4% of internet browsing devices (2024, Saudi Arabia)**, making app speed, Arabic user experience, and personalized discovery direct conversion levers for platforms. 
* Average mobile data consumption reached **48 GB per person monthly (2024, Saudi Arabia)**, three times the global average, supporting image-rich menus, live tracking, and video-based restaurant marketing. 
* Local websites captured **93.1% of online shopping activity (2024, Saudi Arabia)**, favoring localized platforms with domestic restaurant networks, Arabic support, and Saudi payment integration. 

### High-Frequency Convenience Demand

Food delivery is embedded in routine consumption, with **one in five meal orders (2025, Saudi Arabia)** placed through aggregators. 

* Platforms exceeded **1 million average daily orders (Q4 2024-Q1 2025, Saudi Arabia)**, creating scale for rider batching, restaurant-funded promotions, and consumer subscriptions. 
* Q4 delivery activity exceeded **124 million orders (Q4 2025, Saudi Arabia)**, indicating that on-demand logistics is becoming a broad household utility rather than an occasional service. 
* Riyadh, Makkah, and the Eastern Province accounted for **82.52% of delivery activity (Q4 2025, Saudi Arabia)**, enabling dense fulfillment zones and lower unit delivery costs. 

### Digital Payments and Checkout Infrastructure

Frictionless checkout supports repeat ordering, with **85% electronic-payment share (2025, Saudi Arabia)** across retail payments. 

* Electronic payments increased from **79% in 2024 to 85% in 2025 (Saudi Arabia)**, reducing cash reconciliation and failed delivery risk for platforms and restaurants. 
* mada e-commerce transactions expanded **71.0% year on year (Q3 2025, Saudi Arabia)**, supporting wallet-linked promotions, one-click reordering, and prepaid membership plans. 
* The national e-commerce payments interface launched in **July 2025 (Saudi Arabia)**, enabling standardized integration between mada and global networks for lower-friction merchant onboarding. 

---

## Market Challenges

### Subsidy-Led Growth and Margin Compression

Promotional competition accelerated demand but weakened economics, despite **36% market growth (2025, Saudi Arabia)**. 

* Free delivery shifted from a temporary campaign to an industry default in **2025 (Saudi Arabia)**, transferring value to consumers while increasing platform customer-acquisition and retention costs. 
* Jahez delivery-fee revenue declined **13.1% year on year (FY2025, Jahez Group)**, demonstrating how price competition can offset order and commission growth. 
* Average basket sizes declined during the **2025 subsidy cycle (Saudi Arabia)**, limiting commission yield and forcing platforms to pursue advertising, merchant services, and subscription monetization. 

### Fleet Formalization and Compliance Costs

Driver regulation raises service quality but increases fixed compliance requirements under the **14-month implementation period (2024-2025, Saudi Arabia)**. 

* Non-Saudi couriers must work through **licensed light-transport companies (2024 regulation, Saudi Arabia)**, reducing informal labor flexibility and increasing fleet-management overhead. 
* Self-employment is limited to **Saudi nationals (2024 regulation, Saudi Arabia)**, creating a strategic need for local courier recruitment, retention, and productivity tools. 
* Uniform and identity-verification requirements were introduced for delivery drivers in **2024-2025 (Saudi Arabia)**, requiring platforms to invest in onboarding controls and real-time compliance monitoring. 

### Data Protection and Merchant Quality Risk

Consumer trust is a constraint, as only **31% of reviewed e-commerce sites (2025 study, Saudi Arabia)** declared all four tested PDPL rights. 

* The PDPL became operational in **2024 (Saudi Arabia)**, increasing obligations around retention, deletion, access, and complaint mechanisms for platforms processing location and payment data. 
* The review covered **100 e-commerce websites (2025 study, Saudi Arabia)**, finding uneven privacy disclosure that can raise enforcement and reputational risk for platform ecosystems. 
* Food-delivery platforms integrate thousands of merchant menus and couriers, so a **multi-party data chain (2025 market structure)** increases the cost of consent management, incident response, and quality assurance. 

---

## Market Opportunities

### Advertising and Merchant Software Monetization

Merchant-facing revenue can offset fee pressure, with Jahez commission revenue rising **16.3% (FY2025, Jahez Group)**. 

* Sponsored discovery monetizes high-intent app traffic without raising consumer delivery fees, benefiting platforms with **million-order daily scale (2025, Saudi Arabia)**. 
* Restaurant partners benefit from POS, analytics, demand forecasting, and campaign tools that convert platform data into measurable sales uplift and lower food wastage. Jahez emphasized commissions near **15% for merchant retention (2025, Saudi Arabia)**. 
* Opportunity realization requires standardized merchant data, transparent ad attribution, and account-management capability across the **54-city Jahez footprint (2025, Saudi Arabia)**. 

### Subscription and Multi-Vertical Ecosystems

Subscriptions can stabilize frequency as consumers compare platforms, while Keeta captured **8% GMV share (Q1 2025, Saudi Arabia)** through aggressive value offers. 

* Consumer memberships bundle delivery savings, priority support, and cross-category benefits, improving retention where users actively switch among platforms during the **2025 promotion cycle (Saudi Arabia)**. 
* Restaurants and investors benefit when food, grocery, pharmacy, and parcel demand share fleets, raising utilization beyond meal peaks; Jahez Logi targeted **60% internal order fulfillment by 2026 (Saudi Arabia)**. 
* Scale requires wallet integration and low-friction recurring billing, supported by **85% electronic-payment penetration (2025, Saudi Arabia)**. 

### Secondary-City and Smart-Logistics Expansion

Regions outside the three largest hubs represented **17.48% of delivery activity (Q4 2025, Saudi Arabia)**, creating whitespace for focused expansion. 

* Operators can monetize underpenetrated cities through hub-and-spoke fleets, franchise partnerships, and narrower restaurant assortments, while avoiding the subsidy intensity of Riyadh's **44.45% order share (Q4 2025)**. 
* Mandatory national-address use from **January 2026 (Saudi Arabia)** can improve geocoding accuracy, lower failed deliveries, and support standardized service-level measurement. 
* Technology adoption can include route optimization, electric two-wheelers, and drone pilots; Saudi Arabia completed its **first official drone parcel trial in 2025**, demonstrating regulatory willingness to test new delivery modes. 

---

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## Competitive Landscape

# CHAPTER 8 - Competitive Landscape Overview

The market is concentrated around two scaled incumbents, but aggressive entry by Keeta and adjacent quick-commerce platforms has lowered switching costs, increased promotional intensity, and raised the importance of fleet control, merchant exclusivity, and balance-sheet capacity.

* **Key players:** 10
* **New Entrants (last 5 yrs):** 4

### Company Profiles (Top 10 Players)

| Company Name | Market Share | Headquarters | Founding Year | Core Market Focus |
| --- | --- | --- | --- | --- |
| HungerStation | 36-39% (est.) | Riyadh, Saudi Arabia | 2012 | Scaled restaurant marketplace and integrated delivery |
| Jahez | 28-31% (est.) | Riyadh, Saudi Arabia | 2016 | Food delivery, merchant technology, logistics, and advertising |
| Keeta | 8% (Q1 2025 GMV) | Beijing, China | 2023 | Promotion-led marketplace expansion and technology-driven dispatch |
| ToYou | 4-6% (est.) | Riyadh, Saudi Arabia | 2015 | Multi-service delivery and mobility platform |
| Mrsool | 3-5% (est.) | Riyadh, Saudi Arabia | 2015 | Crowdsourced on-demand ordering and negotiated delivery |
| Ninja | 2-4% (est.) | Riyadh, Saudi Arabia | 2022 | Quick commerce, dark stores, and rapid delivery |
| The Chefz | 2-3% (est.) | Riyadh, Saudi Arabia | 2016 | Premium food, desserts, gifting, and occasion delivery |
| Shgardi | 1-2% (est.) | Riyadh, Saudi Arabia | 2019 | Local restaurant and on-demand delivery |
| Mr Mandoob | <2% (est.) | Riyadh, Saudi Arabia | - | Local courier and restaurant delivery |
| Careem Food | <1% (est.) | Dubai, United Arab Emirates | 2012 | Super-app food ordering in selected Saudi cities |

The report provides detailed cross-comparison of key players across 4 performance parameters to identify competitive strengths and weaknesses.

### Top 4 Cross-Comparison KPIs

* Order Fulfillment Rate
* Average Delivery Time
* GMV Growth
* Contribution Margin

### Analysis Covered

* **Market Share Analysis:** Compares platform scale, order density, and geographic strength across operators.
* **Cross Comparison Matrix:** Benchmarks operational reliability, monetization quality, growth, and delivery economics.
* **SWOT Analysis:** Assesses brand, fleet, merchant, technology, and regulatory positioning.
* **Pricing Strategy Analysis:** Evaluates commissions, delivery fees, subscriptions, vouchers, and sponsored placement.
* **Company Profiles:** Reviews ownership, footprint, capabilities, partnerships, and strategic priorities.

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## Key Stakeholders

# CHAPTER 10 - Key Target Audience

Key stakeholders who can leverage from this market analysis for investment, strategy, and operational planning.

* **Investors:** GMV CAGR, contribution margin, burn rate, consolidation risk
* **Corporates:** commissions, basket size, customer acquisition, advertising ROI
* **Government:** driver formalization, food safety, competition, digital payments
* **Operators:** delivery time, batching, rider utilization, merchant retention
* **Financial institutions:** payment volume, working capital, credit risk, cash conversion

### What You'll Gain

* Market sizing and trajectory
* Platform economics benchmarks
* Regulatory compliance mapping
* Segment growth priorities
* Competitive landscape shortlist
* CEO-grade risk priorities

---

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## Research Methodology

# CHAPTER 11 - Research Methodology

### Phase 1: Approach

#### Desk Research

* Review delivery-platform financial disclosures
* Analyze TGA quarterly order statistics
* Map restaurant and courier ecosystems
* Benchmark payment and internet indicators

#### Primary Research

* Interview platform strategy directors
* Interview restaurant commercial managers
* Interview fleet operations heads
* Interview frequent app users

#### Validation and Triangulation

* Validate through 312 stakeholder interviews
* Reconcile GMV and order volumes
* Cross-check basket and commission assumptions
* Stress-test city-level demand concentration

### Phase 2: Market Size Estimation

#### Top-Down Assessment

* Saudi foodservice spend and online penetration
* Breakdown by restaurant format and customer cohort
* TGA, SAMA, CST, and institutional indicators

#### Bottom-Up Modeling

* Platform order volumes and merchant coverage
* Average basket, commissions, and delivery fees
* Orders multiplied by gross merchandise value

#### Forecasting and Scenario Analysis

* Regression using digital payments and urban demand
* Promotion intensity, regulation, and fleet productivity
* Baseline, optimistic, and constrained projections through 2031

### Phase 3: Primary Research Coverage

#### Scope Item / Segments

Coverage spans the full food-delivery value chain from restaurant onboarding and platform demand generation to fleet fulfillment and consumer use.

* Food Delivery Platforms
* Restaurant and Cloud-Kitchen Partners
* Fleet and Courier Operations
* Consumers and Corporate Buyers

#### Sample Size

A total of 312 respondents were engaged across market segments to ensure statistically robust coverage of the KSA Food Delivery Market.

* Food Delivery Platforms - 62 respondents (Strategy Director, Marketplace Operations Manager)
* Restaurant and Cloud-Kitchen Partners - 88 respondents (Restaurant General Manager, Digital Sales Manager)
* Fleet and Courier Operations - 72 respondents (Fleet Operations Head, Rider Supervisor)
* Consumers and Corporate Buyers - 90 respondents (Frequent App User, Corporate Procurement Manager)

#### Validation and Triangulation

Findings were validated across respondent cohorts and value-chain segments to ensure internal consistency for the KSA Food Delivery Market.

* Cross-segment order-frequency consistency checks
* Platform-restaurant-fleet value-chain triangulation
* Operational versus strategic respondent reconciliation
* GMV-to-orders-to-basket sanity checking

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## Frequently Asked Questions

# CHAPTER 12 - FAQs

#### Q: How large was the KSA Food Delivery Market in 2025?

**A:** The KSA Food Delivery Market was valued at USD 6,400 million in 2025 on a gross merchandise value basis. The estimate covers consumer food orders placed through aggregator platforms and restaurant-owned digital delivery channels, while excluding grocery-only quick commerce and courier parcel services. Market scale was supported by more than one million average daily aggregator orders during late 2024 and early 2025, alongside strong growth in regulated delivery activity across Riyadh, Makkah, and the Eastern Province.

**Data used:** USD 6,400 million market value in 2025; more than 1 million average daily aggregator orders in Q4 2024-Q1 2025.

**So what:** Investors should evaluate GMV quality and contribution margin separately because promotional growth does not automatically translate into profit.

#### Q: What is the forecast for the KSA Food Delivery Market through 2031?

**A:** The market is forecast to reach USD 12,650 million by 2031, expanding at a CAGR of 12.03% during 2026-2031. Growth is expected to moderate from the exceptional 2025 promotion cycle, but remain supported by higher order frequency, secondary-city penetration, digital payments, and merchant digitization. Order volume is projected to rise faster than basket values, making route density, batching, and first-party logistics central to margin expansion.

**Data used:** USD 12,650 million forecast value by 2031; 12.03% CAGR during 2026-2031.

**So what:** Winning platforms will prioritize retention, fleet productivity, and merchant monetization rather than relying on indefinite delivery subsidies.

#### Q: Where will the food-delivery profit pool shift?

**A:** The profit pool will shift from standalone delivery fees toward commission optimization, sponsored listings, consumer subscriptions, merchant software, payment partnerships, and shared logistics. Delivery fees are increasingly competed away through free-delivery campaigns, while restaurant partners pay for demand access, visibility, analytics, and operational tools. Platforms that combine marketplace demand with POS integrations, advertising inventory, loyalty, and high-utilization fleets can capture a larger share of ecosystem value without materially increasing consumer checkout prices.

**Data used:** Jahez commission revenue increased 16.3% in FY2025; delivery-fee revenue declined 13.1% in FY2025.

**So what:** Strategy teams should value platforms on monetization breadth and contribution margin, not only order growth or app downloads.

#### Q: What is the most important constraint on market profitability?

**A:** The principal constraint is subsidy-driven competition combined with rising fleet formalization costs. In 2025, free delivery and heavy discounts increased order frequency but reduced basket sizes and consumer willingness to pay delivery charges. At the same time, TGA rules require tighter control over driver identity, uniforms, licensed transport-company relationships, and Saudi self-employed couriers. These factors increase compliance and fulfillment costs before advertising and subscription revenues have fully scaled.

**Data used:** 36% market growth in 2025; 14-month phased fleet-regulation implementation initiated in 2024.

**So what:** Operators should set city-level promotion guardrails and measure incremental contribution after rider, refund, and compliance costs.

#### Q: How does Saudi Arabia compare with other GCC food-delivery markets?

**A:** Saudi Arabia is the largest selected GCC food-delivery market by 2025 GMV and offers the strongest combination of population scale and recent order growth. The UAE and Kuwait show higher modeled orders per capita, reflecting denser urban populations and mature app adoption, while Qatar and Bahrain remain smaller but digitally advanced. Saudi Arabia's strategic advantage is the ability to scale across several major metropolitan regions and then extend into underpenetrated secondary cities.

**Data used:** Saudi Arabia ranks 1st among selected GCC peers in 2025; 99% internet penetration in Saudi Arabia during 2024.

**So what:** Regional entrants should treat Saudi Arabia as a multi-city operating market rather than replicate a single-city GCC playbook.

#### Q: Which demand driver matters most for the next growth phase?

**A:** The most important demand driver is repeat ordering enabled by mobile-first discovery and electronic payments. Saudi Arabia already has near-universal internet reach, very high mobile browsing, and rapidly expanding mada e-commerce transactions. Therefore, the next growth phase will depend less on first-time user acquisition and more on increasing monthly order frequency through subscriptions, personalized menus, reliable delivery times, and cross-category loyalty. Platforms must convert digital readiness into habit without overspending on vouchers.

**Data used:** 99% internet penetration in 2024; 85% electronic-payment share in 2025.

**So what:** Executives should optimize cohort retention, order frequency, and service reliability before expanding broad promotional budgets.

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## Table of Contents

# 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. KSA Food Delivery Market Overview

#### 2.1 Key Insights and Strategic Recommendations

#### 2.2 KSA Food Delivery 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. KSA Food Delivery Market Analysis

#### 3.1 Growth Drivers

##### 3.1.1 Mobile-First Digital Consumption

##### 3.1.2 High-Frequency Convenience Demand

##### 3.1.3 Digital Payments and Checkout Infrastructure

##### 3.1.4 Tourism and Event-Led Ordering Occasions

#### 3.2 Market Challenges

##### 3.2.1 Subsidy-Led Growth and Margin Compression

##### 3.2.2 Fleet Formalization and Compliance Costs

##### 3.2.3 Data Protection and Merchant Quality Risk

##### 3.2.4 Secondary-City Fulfillment Economics

#### 3.3 Market Opportunities

##### 3.3.1 Advertising and Merchant Software Monetization

##### 3.3.2 Subscription and Multi-Vertical Ecosystems

##### 3.3.3 Secondary-City and Smart-Logistics Expansion

##### 3.3.4 Restaurant Embedded-Finance Services

#### 3.4 Market Trends

##### 3.4.1 Free-Delivery Subscription Bundles

##### 3.4.2 Multi-App Consumer Price Comparison

##### 3.4.3 Hybrid Fleet Orchestration

##### 3.4.4 Sponsored Menu Discovery

#### 3.5 Government Regulation

##### 3.5.1 Licensed Light-Transport Company Requirement

##### 3.5.2 Saudi Self-Employment Rules

##### 3.5.3 Driver Identity and Uniform Controls

##### 3.5.4 Personal Data Protection Compliance

### 4. SWOT Analysis

### 5. Stakeholder Analysis

### 6. Porter's Five Forces Analysis

### 7. KSA Food Delivery Market Market Size

#### 7.1 By Value

#### 7.2 By Volume

#### 7.3 By Average Selling Price

### 8. KSA Food Delivery Market Segmentation

#### 8.1 Service Type

##### 8.1.1 Platform-to-Consumer Delivery

##### 8.1.2 Restaurant-to-Consumer Delivery

##### 8.1.3 Scheduled Food Delivery

##### 8.1.4 Premium Occasion Delivery

#### 8.2 Customer Type

##### 8.2.1 Individual Consumers

##### 8.2.2 Corporate Customers

##### 8.2.3 Hospitality and Events

##### 8.2.4 Institutional Buyers

#### 8.3 Cuisine Category

##### 8.3.1 Quick-Service Restaurants

##### 8.3.2 Local and Arabic Cuisine

##### 8.3.3 International Casual Dining

##### 8.3.4 Desserts and Beverages

#### 8.4 Delivery Model

##### 8.4.1 Platform-Owned Fleet

##### 8.4.2 Hybrid Fulfillment

##### 8.4.3 Merchant-Owned Fleet

##### 8.4.4 Crowdsourced Delivery

#### 8.5 Revenue Model

##### 8.5.1 Commission-Led Marketplace

##### 8.5.2 Delivery-Fee Monetization

##### 8.5.3 Subscription Revenue

##### 8.5.4 Advertising and Merchant Services

#### 8.6 Ordering Channel

##### 8.6.1 Mobile Applications

##### 8.6.2 Web Platforms

##### 8.6.3 Restaurant-Owned Digital Channels

##### 8.6.4 Conversational Commerce

#### 8.7 Geography

##### 8.7.1 Riyadh Region

##### 8.7.2 Makkah Region

##### 8.7.3 Eastern Province

##### 8.7.4 Other Regions

### 9. KSA Food Delivery 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 Order Fulfillment Rate

##### 9.2.4 Average Delivery Time

##### 9.2.5 GMV Growth

##### 9.2.6 Contribution Margin

#### 9.3 SWOT Analysis of Top Players

#### 9.4 Pricing Analysis

#### 9.5 Detailed Profile of Major Companies

##### 9.5.1 HungerStation

##### 9.5.2 Jahez

##### 9.5.3 Keeta

##### 9.5.4 ToYou

##### 9.5.5 Mrsool

##### 9.5.6 Ninja

##### 9.5.7 The Chefz

##### 9.5.8 Shgardi

##### 9.5.9 Mr Mandoob

##### 9.5.10 Careem Food

### 10. KSA Food Delivery Market End-User Analysis

#### 10.1 Procurement Behavior of Key End-Users

##### 10.1.1 Individual Consumer Ordering Frequency

##### 10.1.2 Corporate Meal Procurement

##### 10.1.3 Hospitality and Event Ordering

##### 10.1.4 Institutional Food Delivery

#### 10.2 Corporate Spend Patterns

##### 10.2.1 Employee Meal Allowances

##### 10.2.2 Meeting and Event Budgets

##### 10.2.3 Preferred Payment Methods

##### 10.2.4 Vendor Consolidation Criteria

#### 10.3 Pain Point Analysis by End-User Category

##### 10.3.1 Delivery Reliability

##### 10.3.2 Menu Price Inflation

##### 10.3.3 Refund and Complaint Resolution

##### 10.3.4 Food Quality at Handover

#### 10.4 User Readiness for Adoption

##### 10.4.1 Subscription Willingness

##### 10.4.2 Digital Payment Adoption

##### 10.4.3 Cross-Platform Switching

##### 10.4.4 Secondary-City Adoption

#### 10.5 Post-Deployment ROI and Use Case Expansion

##### 10.5.1 Merchant Sales Uplift

##### 10.5.2 Advertising Return on Spend

##### 10.5.3 Fleet Utilization Improvement

##### 10.5.4 Multi-Vertical Customer Lifetime Value

### 11. KSA Food Delivery Market Future Size

#### 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 Secondary-City Marketplace Entry

#### 1.2 Premium Occasion Delivery

#### 1.3 Merchant SaaS Bundles

#### 1.4 Corporate Meal Programs

### 2. Marketing and Positioning Recommendations

#### 2.1 Arabic-First Personalization

#### 2.2 Reliability-Led Brand Positioning

#### 2.3 Subscription Value Architecture

#### 2.4 Merchant Co-Marketing

### 3. Distribution Plan

#### 3.1 Riyadh Density Build-Out

#### 3.2 Makkah and Jeddah Expansion

#### 3.3 Eastern Province Coverage

#### 3.4 Secondary-City Hub Model

### 4. Channel and Pricing Gaps

#### 4.1 Delivery-Fee Elasticity

#### 4.2 Commission Tier Design

#### 4.3 Sponsored Listing Pricing

#### 4.4 Corporate Contract Pricing

### 5. Unmet Demand and Latent Needs

#### 5.1 Late-Night Coverage

#### 5.2 Healthy Meal Discovery

#### 5.3 Group Ordering Tools

#### 5.4 Reliable Scheduled Delivery

### 6. Customer Relationship

#### 6.1 Cohort Retention Programs

#### 6.2 Complaint Recovery Workflows

#### 6.3 Loyalty Wallet Integration

#### 6.4 Personalized Reorder Journeys

### 7. Value Proposition

#### 7.1 Fast Reliable Fulfillment

#### 7.2 Broad Local Restaurant Choice

#### 7.3 Transparent Total Checkout Price

#### 7.4 Merchant Growth Services

### 8. Key Activities

#### 8.1 Restaurant Acquisition

#### 8.2 Fleet Capacity Planning

#### 8.3 Demand Forecasting

#### 8.4 Payment and Fraud Control

### 9. Entry Strategy Evaluation

#### 9.1 Domestic Market Entry Strategy

##### 9.1.1 Riyadh Pilot Cluster

##### 9.1.2 Anchor Restaurant Partnerships

##### 9.1.3 Licensed Fleet Setup

##### 9.1.4 Subscription Launch

#### 9.2 Export Entry Strategy

##### 9.2.1 GCC Platform Localization

##### 9.2.2 Cross-Border Technology Licensing

##### 9.2.3 Regional Merchant Partnerships

##### 9.2.4 Shared Logistics Capabilities

### 10. Entry Mode Assessment

#### 10.1 Greenfield Platform Launch

#### 10.2 Local Platform Partnership

#### 10.3 Strategic Acquisition

#### 10.4 Technology Licensing

### 11. Capital and Timeline Estimation

#### 11.1 Platform Development Budget

#### 11.2 Fleet and Hub Capital

#### 11.3 Merchant Acquisition Spend

#### 11.4 Working Capital Runway

### 12. Control vs Risk Trade-Off

#### 12.1 Brand Control

#### 12.2 Fleet Ownership Risk

#### 12.3 Merchant Concentration Risk

#### 12.4 Regulatory Compliance Exposure

### 13. Profitability Outlook

#### 13.1 Contribution Margin Bridge

#### 13.2 Customer Acquisition Payback

#### 13.3 Advertising Revenue Scale

#### 13.4 Fleet Utilization Threshold

### 14. Potential Partner List

#### 14.1 Restaurant Groups

#### 14.2 Licensed Fleet Operators

#### 14.3 Payment Service Providers

#### 14.4 Cloud-Kitchen Networks

### 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 Regulatory Licensing

##### 15.2.2 Merchant Network Launch

##### 15.2.3 Fleet Density Milestone

##### 15.2.4 Contribution Margin Break-Even

## 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 - Frequent Individual 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 - Household and Family 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 - Corporate Buyers

##### 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 - Hospitality and Institutional Buyers

##### 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 Foodservice and Consumer Spending Linkages

##### 4.1.2 Urbanization and Digital Infrastructure Impact

##### 4.1.3 Promotional Cycles and Ordering Timing

##### 4.1.4 Import Dependency in Restaurant Supply Chains

#### 4.2 End-User Behavior and Consumption Patterns

##### 4.2.1 Frequency and Volume of Purchases

##### 4.2.2 Seasonal and Ramadan 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 Delivery Fee Benchmarking

##### 4.3.3 Regional Pricing Disparities

##### 4.3.4 Total Checkout Cost Perception

#### 4.4 Quality, Safety, and Compliance Expectations

##### 4.4.1 Food Quality and Packaging Requirements

##### 4.4.2 Rider Safety and Regulatory Awareness

##### 4.4.3 Perception of Local vs. International Platforms

##### 4.4.4 Refund and Support Expectations

#### 4.5 Cultural, Regional, and Contextual Demand Factors

##### 4.5.1 Regional Restaurant Clusters and Demand Hotspots

##### 4.5.2 Ramadan and Family Ordering Norms

##### 4.5.3 Peer Influence and Social Discovery

##### 4.5.4 Digital Adoption and Payment Readiness

#### 4.6 Marketing, Awareness, and Channel Influence

##### 4.6.1 Impact of Influencers and Restaurant Campaigns

##### 4.6.2 Role of Digital Marketing and Online Platforms

##### 4.6.3 Restaurant Partner Influence on Purchase

##### 4.6.4 Payment and Loyalty 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 Cities

#### 5.3 Willingness to Adopt Subscriptions and New Formats

#### 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

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