DoorDash, Uber Eats & Grubhub Market Data Report 2026 for US Food Delivery Intelligence

Author : FoodData Scrape | Published On : 26 Oct 2026

Report Overview

Which food delivery app leads the US market, and how do prices and fees differ?” This question matters to restaurants, food brands and market analysts comparing DoorDash, Uber Eats and Grubhub. While DoorDash leads nationally, competition varies by city, and delivery fees, subscriptions and menu prices influence customer costs. This report uses Food Delivery Market Data to compare platform market share, menu prices, delivery fees, subscriptions and restaurant coverage. It examines cited industry figures, city-level regulations and cross-platform data tracking to support competitive analysis across major US markets.

Key Highlights

DoorDash Leads US Delivery Sales: Third-party estimates put its share at 60.7% at the end of 2024, ahead of Uber Eats at 26.1% and Grubhub at 6.3%.

City-Level Competition: DoorDash and Uber Eats had nearly equal estimated delivery sales shares in the New York City area and Los Angeles.

Memberships Influence Customer Costs: DashPass, Uber One and Grubhub+ list monthly plans at $9.99, subject to eligibility and offer conditions.

Restaurant Commissions Affect Pricing: Published delivery commission tiers vary across platforms, influencing restaurant costs and potential menu price differences.

Introduction

US food delivery in 2026 is led by DoorDash, with Uber Eats a strong second and Grubhub, now owned by Wonder, a smaller third. Third-party card data put DoorDash near 61% of US delivery sales at the end of 2024. Prices, fees and coverage differ by city, so comparing the apps needs structured, regularly refreshed menu and fee data.

This report brings together the latest public facts on the three apps. It covers company results, third-party share estimates, consumer fees, subscriptions and city rules such as New York City’s delivery worker minimum pay. Every figure is cited in the Sources list, and estimates are labelled as estimates.

We also show how Food Data Scrape structures menus, prices, fees and availability from public listings on DoorDash, Uber Eats and Grubhub. This report does not publish counts from a live Food Data Scrape dataset; where a value depends on a collection run, the tables describe what that run would measure.

From Early Aggregators to a Data-led US Food Delivery Market

US food delivery began with order aggregators that passed online orders to restaurants with their own drivers. Grubhub and Seamless grew that way. DoorDash, Uber Eats and Postmates then built logistics networks that made almost any restaurant deliverable. Uber bought Postmates in 2020, according to Bloomberg Second Measure.

Ownership in US food delivery has changed again since. Just Eat Takeaway.com bought Grubhub for about $7 billion and sold it to Wonder, the food-hall group, for $650 million. Restaurant Dive reported the deal in November 2024. Nation’s Restaurant News reported that Wonder completed the purchase in January 2025.

The scale of the leader keeps growing. DoorDash reported 970 million Total Orders and $33.1 billion of Marketplace GOV in Q2 2026. Part of that growth comes from Deliveroo, which DoorDash has included since 2 October 2025. Uber’s Delivery segment reported $27.5 billion of gross bookings in the same quarter. Both figures are global, not US-only, so they show direction rather than US food delivery share.

Building a Structured View of Menus and Prices Across Three Apps

Each US food delivery app shows the same restaurant in a different way. Item names, modifiers, photos, category names and price formats vary. A burger may be a single item on one app and a combo with required sides on another. Without a common data model, any DoorDash vs Uber Eats vs Grubhub comparison mixes like with unlike.

We map every public listing to one schema. Restaurants are matched across apps by name, address and coordinates. Menu items are matched by normalised name, size and modifiers, and every record keeps the app, timestamp and delivery address used for the check.

Collection stays at public business-listing level. We respect robots.txt, each platform’s terms of service and sensible rate limits. We never collect customer or courier personal data, and we never sign in to get past a login.

Fees, Service Charges and Subscriptions

In US food delivery, the menu price is only part of what a customer pays. DoorDash’s help centre lists a delivery fee, a service fee, a small order fee, a long distance fee, an optional express fee, a weather impact fee and a regulatory response fee in some regions. It also says DoorDash began rolling out updated, variable service fees in many markets from late July 2026. In markets such as New York City, California and Seattle, the service fee is still typically 15% of subtotal.

All three US food delivery apps sell a membership that cuts these fees. Each lists a $9.99 monthly price on its official page, and benefits apply only to eligible orders above a subtotal minimum. Grubhub also offers Grubhub+ benefits to eligible Amazon Prime members in the US with no Grubhub+ membership fee.

Restaurants pay commission too, and that cost can feed through to menu prices. Each app lists tiered plans on its merchant pricing page. Tracking these list rates next to observed menu prices helps explain why the same dish can cost more on one app.

City Rules That Shape Fees and Prices

Local rules change US food delivery fees and costs, so market data must be read city by city. New York City is the clearest example. Its Department of Consumer and Worker Protection (DCWP) sets a minimum pay rate for app-based restaurant delivery workers, before tips.

That rate rose to $22.13 per hour from the first pay period on or after 1 April 2026. Since 26 January 2026, grocery delivery apps must also pay a minimum rate. New York City also caps what apps may charge restaurants, as shown below.

For analysts, these rules explain local fee lines such as DoorDash’s regulatory response fee. They also explain why New York City is in DoorDash’s list of markets on its older fee model. A US food delivery dataset should therefore record fees per ZIP code, not as a single national number.

Understanding Price Movements and Product Availability

US food delivery prices move for many reasons: menu updates, promotions, fee changes, weather and peak-hour demand. A one-off snapshot cannot separate these effects. A repeat collection on a fixed schedule, using the same test baskets and addresses, can.

A recent New York inquiry asked us for DoorDash pricing over a full quarter, which is a typical need. Quarterly series show whether menu markups are drifting, how often promotions run and when fees spike. Availability flags add a second view: which items sell out, and which stores go offline at peak times.

For a deeper look at fee spikes, see our page on real-time delivery fee and surge pricing intelligence. For a ten-city price comparison of two apps, see Uber Eats vs DoorDash real-time price monitoring.

Mapping Restaurant Coverage and Cross-Platform Overlap

Coverage is where the three US food delivery apps differ most at local level. Many chains list on all three. Many independents choose one or two apps, or sign exclusive deals. Grubhub brought Wonder about 375,000 merchants, according to Nation’s Restaurant News, but merchant counts alone do not show how much of a city each app covers.

We measure US food delivery coverage from the delivery address outward. For each ZIP code we list every restaurant that delivers there on each app, match stores across apps and flag exclusives. The result shows true cross-platform overlap, metro by metro.

The table gives cited public context only. Restaurant counts per app, overlap and exclusives are not shown because we have no published dataset figures for them; they are counted fresh on each collection run for the metros a client chooses.

Overlap data answers practical questions. A brand can see where a competitor is exclusive to one app. An investor can see whether a smaller app keeps its restaurants or loses them over time. A restaurant group can check where it is missing from an app its rivals use.

Measuring Competitive Position Across US Food Delivery Apps

No public source gives an official US food delivery share for each app. DoorDash and Uber report global figures, and Grubhub is now private. The best public view comes from third-party card-transaction panels. Treat these as estimates and check the period each covers.

Earnest Analytics estimated that, at the end of 2024, DoorDash held 60.7% of US delivery sales, Uber Eats 26.1% and Grubhub 6.3%. The picture is closer in large cities. In the New York City area, DoorDash and Uber Eats were almost level, and in Los Angeles Uber Eats was slightly ahead. Bloomberg Second Measure’s earlier panel showed a similar order for March 2024.

In US food delivery, sales share shows where customers spend. Listing data shows where restaurants choose to be, at what price and with what fees. Combining both gives a fuller view of competitive position than either one alone.

How Food Data Scrape Helps

1. Three-app restaurant and menu feeds: Public restaurant, menu, price and fee data from DoorDash, Uber Eats and Grubhub in one schema.

2. Cross-app matching: Stores and items matched by name, address, geo and size so price gaps are like-for-like.

3. ZIP-level fee and ETA tracking: Test baskets at set times to record delivery fees, service fees and delivery time estimates.

4. Scheduled history: Daily, weekly or quarterly series for trend and promotion analysis, with timestamps on every record.

5. Flexible delivery: CSV, Excel, JSON or API output, with a free sample before any project starts.

6. Compliance first: Public business data only, respect for robots.txt, terms of service and rate limits, and no personal data.

Conclusion

US food delivery is concentrated but not settled. DoorDash leads nationally, Uber Eats is close in the largest cities, and Grubhub has a new owner in Wonder. Fees are getting more variable, all three apps push $9.99 memberships, and New York City shows how local rules change costs.

These US food delivery shifts are hard to see in quarterly results alone. Structured, repeat data on menus, prices, fees, availability and coverage shows them app by app and ZIP by ZIP. To see what that looks like for your markets, contact us for a sample dataset:

Originally Submitted at: https://www.fooddatascrape.com/index.php

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