A market statistic helps frame a decision; your store's order history determines the working plan. Use the dated sources below to distinguish digital demand, seasonal consumption and menu interest, then translate them into catalog, staffing, stock and channel decisions. No single report measures the entire online food ordering market.
What the numbers measure
“Online food ordering market” can mean restaurant delivery spend, orders through one app, direct website sales, or the software restaurants buy. Those denominators are different. Software revenue is not food sales; gross order value is not platform revenue; a survey preference is not an observed purchase. Keep geography, period, channel, sample, units and source beside every number.
The following historical snapshot uses primary releases available as of November 10, 2026. It provides planning context, not a forecast of sales for an individual restaurant.
| Signal and period | Primary observation | Planning limit |
|---|---|---|
| DoorDash Total Orders, 2024 quarters | 620m in Q1, 635m in Q2, 643m in Q3 and 685m in Q4 | Company-wide orders, including non-restaurant categories and international operations; not the US restaurant market |
| DoorDash Total Orders, 2025 quarters | 732m in Q1, 761m in Q2, 776m in Q3 and 903m in Q4 | Company perimeter changes, including Deliveroo in Q4, limit like-for-like and seasonal comparisons |
| DoorDash US consumer research, 2025 | Survey of more than 1,500 Americans accompanied by platform data | Self-reported attitudes and platform behavior do not represent every diner or your direct channel |
| US Super Bowl LIX, 2025 | NCC projected consumption of 1.47bn wings | Pre-event consumption estimate; not completed delivery orders or a cross-category sales ranking |
| US plant-based retail, 2025 | GFI/SPINS reports $7.9bn, down 2% in dollars and 3% in units from 2024 | Packaged retail categories; not restaurant delivery demand |
Sources: DoorDash release, February 11, 2025, DoorDash release, February 18, 2026, DoorDash 2025 survey, NCC, January 30, 2025, and GFI's 2026 report covering 2025.
Turn market context into a store forecast
The DoorDash quarterly series shows an increase within that company's reported perimeter. It cannot isolate seasonality from customer growth, geography, category expansion or promotion. Do not apply its growth rate to a local restaurant's kitchen staffing.
Build the operating forecast from your own paid and fulfilled orders by store, weekday, 15- or 30-minute slot, order type and channel. Compare the same weeks in prior years where available. Keep closures, stockouts, refunds, cancelled orders, menu-price changes and major promotions visible. Zero completed orders during a closure does not show zero demand; sold-out products hide potential demand. Compare units as well as revenue to separate volume from price changes.
Use a base case and a high case tied to observable triggers: reservations or preorders, recent weekday run rate, an event, weather and local promotion. State assumptions in units and preparation minutes rather than a precise-looking market share.
Super Bowl week: plan stock and service windows
There is no defensible universal answer to which product every store sells most on Super Bowl weekend. Restaurants, grocery stores and electronics retailers sell different categories. Wings, pizzas and shareable sides are candidates for a restaurant plan, not an established ranking for all merchants. See the Super Bowl guide for the distinction between consumption estimates and sales.
Review your own event baskets, party size, prep time and add-on attachment. Compare the event day with equivalent Sundays and check the week separately from the weekend. Set preorder cutoffs, stock for ingredients shared across bundles, packing capacity and pickup slots. A promotion can concentrate orders just before kickoff; the hourly peak matters more than the daily total. Keep unavailable items off sale and communicate realistic windows instead of selling beyond kitchen or driver capacity.
A delivery-menu test that answers a business question
Choose one hypothesis, such as whether a vegan grain bowl or a vegetarian mushroom pizza earns enough repeat orders to justify a permanent menu position. These are test candidates, not a claim that they are nationally trending bestsellers. Select ingredients already used in your kitchen, verify vegan/vegetarian composition and allergens, and test texture, temperature and packaging after the expected delivery journey.
Define the comparison before launch: similar service windows, channel, exposure and price treatment. Record product views where available, paid units, contribution per item, attachment to baskets, repeat purchase, refunds, waste, preparation time and stockouts. Set a minimum evidence window and operational stop conditions, such as missed preparation targets or excessive waste. Avoid inventing a universal success threshold: the operator sets the margin and service requirements.
Change one major variable at a time. A new photograph, discount and recipe launched together cannot tell you which caused a change. Retain an item only if economics, customer response and kitchen capacity support it; extend the trial when the sample is too small. The 2025 plant-based retrospective separates historical ideas from this ongoing testing method.
Choose channels and software against the order flow
Compare a direct channel with marketplaces using customer acquisition, contribution, repeat behavior and operational workload. A marketplace may provide discovery; a direct website can give the customer a branded ordering path. Neither guarantees demand. Track referrals and completed orders with consent, but distinguish attribution from incremental orders.
For the restaurant online ordering system market, evaluate software by an actual scenario: publish the item, accept payment, receive the order, handle a stockout, cancel/refund when needed, and fulfill pickup or delivery. Ask which system owns catalog and availability and which integrations are confirmed for your setup. Ordering.co connects channels, stores, catalog, payments, merchant operations and delivery; the scope of external connections must be confirmed.
Use the direct-order campaign guide to test acquisition and the delivery-trends article for social discovery and attribution. Talk to Ordering.co with your store count, service windows and peak-order scenario.