GCC food delivery market data for UAE and Saudi Arabia: Talabat, Keeta, Jahez growth, menu price, fee and promo signals.
GCC food delivery market data shows a market that is still growing but is now far more competitive. Talabat reported USD 9.5 billion of GMV for 2025, Saudi delivery orders rose 60% year on year in Q4 2025, and Keeta now operates in both Saudi Arabia and the UAE. Menu prices, delivery fees and promotions are where that competition becomes visible.
For brands, restaurant groups, investors and consultancies, headline results only tell half the story. Company reports show growth and margins, but they do not show what a burger costs on each app, how often delivery is free, or which cuisines are being pushed with discounts.
This report brings together cited public figures for the UAE and Saudi Arabia, and explains which menu-level signals are worth tracking. Where a number would come from Actowiz's own collection, the tables show an indicative estimate marked "Est." – not a measured result – until values from the Actowiz dataset are loaded.
GCC food delivery market data shows a shift from rapid expansion to disciplined, competitive growth. The largest listed player still grows by double digits, but newer entrants have forced every platform to invest more in value and affordability.
Talabat, the largest listed delivery platform in the region, reported FY2024 GMV of USD 7.4 billion, up 23%, with GCC markets contributing USD 6.3 billion or 85% of the total, across 8 countries (talabat FY2024 results). For FY2025 it reported GMV of USD 9.5 billion, up 28% at constant currency, and revenue of USD 3.9 billion (talabat FY2025 results).
Growth in the core GCC business is slowing as competition rises. In Q2 2026 Talabat's GCC GMV grew 5% to USD 2.273 billion, while non-GCC GMV grew 41%; the company still raised its FY2026 GMV growth guidance to 13–15% at constant currency (talabat Q2 2026 results).
In Saudi Arabia, the Transport General Authority's bulletin recorded more than 124 million delivery orders in Q4 2025, a 60% rise on Q4 2024 (TGA data via Mubasher). For the wider region, MarkNtel Advisors estimated the GCC online food delivery market at USD 3.93 billion in 2023 and projects USD 11.18 billion by 2030, as quoted by Communicate Online; this is a third-party estimate and is not directly comparable with platform GMV.
| Year | Talabat group GMV | Talabat GCC GMV | Saudi delivery orders (TGA) | Avg. menu item price, UAE/KSA (indicative) |
|---|---|---|---|---|
| 2023 | USD 6.06 bn | USD 5.29 bn | 228 mn (GAC study via Argaam) | Est. AED 38–45 / SAR 30–38 |
| 2024 | USD 7.4 bn (+23%) | USD 6.3 bn (+20%) | 290 mn (+27%) | Est. AED 40–47 / SAR 32–40 |
| 2025 | USD 9.5 bn (+28% cc) | Q4 only: USD 2.0 bn (+15%) | 408 mn (+41%, GAC via Argaam); Q4: 124 mn+ (+60% YoY) | Est. AED 42–50 / SAR 34–42 |
| 2026 (H1) | USD 5.601 bn | Q2 only: USD 2.273 bn (+5%) | 250 mn+ (Q1 118 mn, +49%; Q2 132 mn, +30.5%) | Est. AED 43–52 / SAR 35–44 |
In-body image: talabat-gmv-2024-2026-chart.webp – bar chart of the cited Talabat GMV figures above. Alt: "Talabat GMV FY2024, FY2025 and H1 2026 from company results"
The UAE market is led by Talabat with Keeta, Careem Food, Deliveroo and Noon Food competing, while Saudi Arabia is a multi-player market with HungerStation, Jahez, Keeta, Mrsool and ToYou. Each platform exposes slightly different public menu and fee data.
Keeta, Meituan's international brand, launched in Saudi Arabia on 9 September 2024 in Al Kharj (KrASIA). By its own figures it handled over 150 million Saudi orders in 2025 across 23 cities, with over 50,000 restaurant partners (Argaam). It entered the UAE in September 2025 and expanded across all seven emirates by the end of that year (Caixin Global).
In the UAE, Deliveroo's local business is now part of DoorDash after DoorDash completed its acquisition of Deliveroo in October 2025 (Business Wire). Jahez, listed on the Saudi Exchange, reported 80.9 million orders in the first nine months of 2025, up 3.7%, with revenue broadly flat at SAR 1.626 billion (Decypha).
| Platform | Main market(s) in scope | Public data signals worth tracking |
|---|---|---|
| Talabat | UAE (also other GCC markets) | Menu items, prices, delivery fee, Pro-subscriber offers, ratings, cuisines |
| Keeta | Saudi Arabia, UAE | Menu prices, launch discounts, free-delivery thresholds, delivery time |
| Careem Food | UAE | Menu prices, delivery fee, promotions, restaurant listings |
| Deliveroo UAE | UAE | Menu prices, fees, offers, restaurant and area coverage |
| Noon Food | UAE | Menu prices, discount tags, restaurant listings |
| HungerStation | Saudi Arabia | Menu prices, fees, offers, restaurant ratings |
| Jahez | Saudi Arabia | Menu prices, delivery fee, offers, cuisines |
| Mrsool / ToYou | Saudi Arabia | Store and restaurant listings; delivery fees are often courier offers set per order, so menu and fee data is less complete than on menu-led apps |
A structured menu-price view compares the same item, from the same restaurant, in the same area, across apps and over time. Without that matching, price gaps are usually just differences in portion, combo or location.
The economics behind delivery pricing are clearer than ever. In Q2 2026, Talabat's revenue included commissions equal to 13.1% of GMV and delivery fees equal to 6.2% of GMV, with advertising at 3.4% of GMV (talabat Q2 2026 results). Those ratios show why fee levels and sponsored placement deserve as much tracking as menu prices.
Order value matters too. Keeta reported an average Saudi order value of SAR 53 in 2025 (Argaam), a useful reference when testing how free-delivery thresholds and small-order fees change basket behaviour.
Menu-level GCC food delivery market data also helps answer a common question: are app prices higher than in-store prices? Public reports alone cannot answer this, so we recommend measuring it directly with item-level matching rather than relying on anecdotes.
| Signal | What to capture | Why it matters |
|---|---|---|
| Item price | Item name, size, price in AED or SAR, restaurant, area | Core cross-app price comparison |
| Delivery fee | Fee by area and time slot, free-delivery threshold | Shows real cost to the customer |
| Service / small-order fee | Fee label and amount where shown | Hidden cost that changes basket size |
| Price change | Same item tracked weekly | Detects menu inflation or rebasing |
| App vs in-store gap | Matched item on app and restaurant site | KSA: 0–84% higher on delivery apps across 13 meals, mostly 20–30% (GAC study via Argaam, Jan 2026) |
In-body image: gcc-menu-price-fee-signal-matrix.webp – matrix of signals by platform. Alt: "Matrix of menu price, delivery fee and promotion signals by platform"
Promotions have become a main competitive lever in both markets, funded by platforms, restaurants and subscriptions. Tracking discount depth and frequency shows who is buying growth and where.
Keeta entered Saudi Arabia with free delivery on orders above SAR 25 and discounts of up to 70% on selected meals (KrASIA). Jahez's management has described Saudi Arabia as a "challenging, competitive market" (Decypha).
Restaurants are paying for a larger share of this value. Talabat reported that partners funded USD 404 million of customer savings in H1 2026, up 30% year on year, and that subscription service Talabat Pro accounted for 51% of GMV (talabat Q2 2026 results).
For a restaurant brand, that means the "real" price on an app often depends on the customer's subscription and the week's campaign. A clean promotion dataset separates list price, discounted price, offer type and who appears to fund the offer.
| Promotion signal | How to measure | Dataset value (indicative) |
|---|---|---|
| Share of restaurants with an active offer | Restaurants with offer tag ÷ restaurants listed | Est. 40–60% of restaurants |
| Average discount depth | (List price − offer price) ÷ list price | Est. 20–30%; exclusive app deals 20–30% below rival apps in KSA (Argaam) |
| Free-delivery share | Listings showing zero or waived delivery fee | Est. 25–40%; KSA free delivery mostly above SAR 30–35 at selected restaurants (Argaam) |
| Subscription-only offers | Offers marked for members only | Est. 10–20% of offers; Talabat Pro = 51% of GMV (talabat) |
| Ramadan and event peaks | Offer share in event weeks vs normal weeks | Est. 1.3–1.6× normal-week offer share |
Assortment mapping shows which cuisines and restaurant types each platform is winning in each city. It is the best early signal of where a platform is investing.
Fast food was the most popular category on Keeta in Saudi Arabia in 2025 (Argaam). Talabat reported about 97,000 active partners in Q2 2026, with grocery and retail making up about a quarter (talabat Q2 2026 results), which shows how far delivery apps now reach beyond restaurants.
Geography is just as important. In Saudi Arabia, Riyadh accounted for 44.45% of Q4 2025 delivery orders, Makkah 22.17% and the Eastern Province 15.90% (TGA data via Mubasher). In the UAE, area-level coverage such as Dubai Marina versus Al Barsha can differ sharply by app.
| Cuisine / category | Data signal | UAE (indicative) | KSA (indicative) |
|---|---|---|---|
| Burgers and fast food | Restaurant count, median item price | Est. 15–20% of restaurants; median item AED 30–40 | Est. 18–25% of restaurants; median item SAR 22–30 |
| Arabic and shawarma | Restaurant count, offer share | Est. 15–20%; offer share 40–55% | Est. 20–25%; offer share 40–55% |
| Asian and Indian | Restaurant count, median item price | Est. 20–25%; median item AED 30–40 | Est. 8–12%; median item SAR 30–40 |
| Coffee and desserts | Restaurant count, delivery fee | Est. 15–20%; delivery fee AED 5–10 | Est. 15–20%; app average fees SAR 11.9–15.7 (Argaam) |
| Healthy and salads | Restaurant count, rating | Est. 5–8%; rating 4.3–4.6 | Est. 3–6%; rating 4.2–4.5 |
In-body image: saudi-delivery-orders-by-region-q4-2025.webp – bar chart of the cited TGA regional shares. Alt: "Saudi delivery orders by region Q4 2025, Riyadh 44.45 percent"
Menu data can flag likely cloud kitchens and virtual brands by spotting several restaurant brands that share an address, a menu structure or the same items. This helps operators and investors size delivery-only supply.
Typical signals include identical menus under different brand names, many brands listed at one location, and brands that appear only on delivery apps. These are signals, not proof, so we recommend combining them with manual checks before drawing conclusions.
For restaurant groups, the practical question is whether virtual brands are undercutting them on price in their own neighbourhoods. Item-level price comparisons between a flagship brand and nearby delivery-only brands answer that directly.
| Cloud kitchen signal | Method | Dataset value (indicative) |
|---|---|---|
| Brands per shared address | Group listings by address or coordinates | Est. 3–8 brands at multi-brand sites |
| Duplicate menus | Match item names and prices across brands | Est. 5–10% of listings |
| Delivery-only brands | Brand not found on maps or own site | Est. 15–25% of listings in Dubai and Riyadh |
| Price gap vs dine-in brands | Matched items in same area | Est. 5–15% below dine-in brands |
In GCC food delivery market data, competitive position is best measured with a small set of repeatable indicators: coverage, price level, fee level, promotion intensity and rating. Tracked monthly, these show how platforms are moving long before annual reports do.
The cited data already points to a shift. Talabat's GCC growth slowed to 5% in Q2 2026 while it increased value investment, Keeta reported rapid scale in Saudi Arabia within its first full year, and Jahez's orders grew modestly. The TGA's 60% order growth suggests the overall Saudi category is still expanding.
Company metrics will keep arriving quarterly, but menu-level data fills the gap between them. A monthly index across platforms helps strategy teams see whether a new entrant is buying share with deeper discounts or winning on coverage.
| Indicator | UAE (indicative) | KSA (indicative) |
|---|---|---|
| Restaurants listed per platform | Est. 10,000–25,000 per major app | Keeta 50,000+ partners (Argaam); est. 20,000–60,000 per major app |
| Median item price index (Talabat = 100 in UAE) | Talabat 100; est. others 95–105 | Est. 95–110 (HungerStation = 100) |
| Median delivery fee | Est. AED 5–10; often waived for Talabat Pro | SAR 11.9–15.7 average by app (Argaam, Jan 2026) |
| Share of listings with an offer | Est. 45–60% | Est. 40–60% |
| Average restaurant rating | Est. 4.3–4.5 | Est. 4.2–4.4 |
Actowiz Solutions collects GCC food delivery market data – public menu, price, fee and promotion fields – and delivers it in a consistent structure.
The GCC food delivery market is still growing, but the cited results show it is now a contest of value. Talabat's GCC growth has slowed while partner-funded savings and subscriptions rise, Keeta has scaled quickly in Saudi Arabia and entered the UAE, and Saudi order volumes keep climbing.
Menu prices, delivery fees and promotions are where these strategies meet the customer. Teams that track them by area and platform can respond faster than those waiting for the next quarterly report.
Download the full report or talk to the Actowiz data team about a GCC food delivery menu and price dataset for the UAE and Saudi Arabia.
There is no single official figure. Talabat reported USD 9.5 billion of GMV in 2025, and MarkNtel Advisors estimated the GCC online food delivery market at USD 3.93 billion in 2023; the two use different definitions and should not be compared directly.
HungerStation, Jahez and Keeta are the main names in recent coverage, with Mrsool and ToYou also active. Keeta reported over 150 million Saudi orders in 2025.
Typical public fields include restaurant, area, cuisine, item name, description, size, price, discounted price, delivery fee, offer tags, rating and review count.
Weekly tracking suits promotion and fee monitoring, while monthly snapshots are usually enough for price indices and assortment mapping. Ramadan and major events often justify extra snapshots.
Collecting publicly available business data is common practice, but site terms and local law apply. Collect public data only, avoid personal data, and seek legal review for your use case.
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