US restaurant industry data, refreshed quarterly
$1.1 trillion in 2024 US restaurant sales. Restaurant industry statistics, vendor-grade.
749,404 active locations. 15.5 million employees. The numbers vendors selling into restaurants actually pitch with, sourced and dated.
What this page covers
A working reference for anyone selling into restaurants.
Twelve core US restaurant industry statistics with sources and as-of dates, a segment breakdown by service type, the drivers pushing the market forward, the headwinds dragging on margin, and a vendor section that turns each number into something you can pitch with. Built for B2B operators sizing pipeline into restaurants, not for consumer food-trend research.
Industry-trade sources publish annually. Orbital refreshes the location count and chain mix quarterly. Every stat below carries the publisher and the month the number is true as of, so you can cite it cleanly in a board deck without rebuilding the math.
The twelve numbers
Market size, locations, workforce, and unit economics.
Each block: the figure, what it measures, the publisher, and one or two sentences on what it means for a vendor pitching into the segment.
Sources: National Restaurant Association 2024 State of the Restaurant Industry, Bureau of Labor Statistics food services, Technomic, Orbital curated restaurant map (April 2026 pull).
Segment breakdown
Where the $1.1 trillion actually sits.
Restaurant sales split roughly evenly between full-service and quick-service, with fast-casual the fastest grower inside QSR. Coffee, pizza, fine-dining, and catering carry the remainder. Share figures from Technomic and NRA 2024 reports.
| Segment | Share of sales | What it is |
|---|---|---|
| Full-service | ~46% | Sit-down dining with table service. Higher ticket, higher labor, slowest table turn. |
| Quick-service (QSR) | ~46% | Counter or drive-thru order, no table service. The drive-thru and digital order leader. |
| Fast-casual | ~8% | Counter-order with higher-quality food. The fastest-growing segment by sales, around 7 to 9% YoY. |
| Coffee & specialty beverage | ~6% | Coffee shops, juice bars, boba. Highest visit frequency in the industry. Mobile-order led. |
| Pizza | ~5% | Carryout and delivery dominant. The original off-premises segment, with mature digital infrastructure. |
| Fine dining | ~3% | Small slice of sales, outsized buying power per unit. Reservation tech, premium POS, and wine-list software all sell here. |
| Catering & off-site | ~6% | Corporate, social, and venue catering. Order management and route planning are the recurring software lines. |
Share figures rounded; full-service plus QSR shares overlap slightly with fast-casual reporting at some publishers. Sources: Technomic Top 500 2024, NRA 2024 SoIR. The corresponding owner-by-name dataset lives at the restaurant email list.
Growth drivers
What is pushing the market up.
Four trends accounted for most of the 2024 industry growth. Each one creates a different vendor wedge.
Off-premises is the new default
Delivery, drive-thru, and pickup now account for roughly 60% of restaurant traffic per NRA. Third-party platforms moved from a side channel to a primary revenue stream, which is why packaging, kitchen display systems, and platform management software are the most-bought categories of the last three years.
Digital ordering crossed 40% of orders
Roughly four in ten US restaurant orders now start on a phone, kiosk, or third-party app. Loyalty programs sit on top of that order data, and a 5% lift on repeat visit frequency in QSR is worth more than a new-customer campaign.
POS replacement cycles compressed
The pandemic killed a lot of legacy on-premise POS hardware. The replacement wave brought cloud POS, integrated payments, and online ordering bundled together. Most independents are now on their second cloud POS, not their first, which means the switching conversation is easier than it was.
Post-2020 traffic recovery, not flat 2019
Real foot traffic is still below 2019 in many markets, but sales are well above on a dollar basis. That gap is mostly menu price inflation, which has put margin pressure on operators and made them more open to software that protects margin per cover.
Growth headwinds
What is pulling restaurant growth back.
The same four operators say in every demo call. If your pitch ignores them, you sound like you have never sat in a restaurant office in May.
Labor shortage and wage inflation
BLS data shows restaurant wages up roughly 25% from 2019 to 2024, and operators report unfilled roles as their single largest constraint per NRA. Scheduling, retention, and training tools sell into this, but only if the pitch starts with the labor number and ends with hours saved.
Food cost remains above the 2019 baseline
Wholesale food prices eased through 2024 but stayed about 25% above pre-2020 levels per BLS PPI for food manufacturing. Operators have absorbed what they can on menu price; the next round of savings has to come from inventory, waste, and supplier discipline.
Rent and lease inflation in primary markets
Per-square-foot rents in top food metros climbed faster than restaurant revenue from 2021 to 2024. That is why every new build in 2025 has a smaller dining room, more kitchen, and a pickup window. Sounds obvious; it changes which vendors get a meeting.
Discretionary spend pressure on the consumer
Casual-dining traffic softened in 2024 as consumers traded down to QSR or stayed home. That has tightened operator budgets and elongated software sales cycles. The vendors who win in 2026 are the ones who can show payback inside 12 months, not 36.
A strong opinion
The biggest miscount in restaurant industry data.
Worth saying out loud
Most "restaurant data" pitches are sized to the wrong half of the market.
Enterprise databases will quote you 50,000 chain restaurants and call it a restaurant market. The actual market is 749,404 locations, of which around 70% are independents run by one or two owners who never built a corporate procurement function. If your TAM model only counts the top 100 chains, you have priced yourself out of the segment that buys the most software, signs the fastest contracts, and pays its bills on the 1st.
The real number is bigger, smaller per deal, and more spread out. That is the deal you actually want, and it is the deal Statista pages will not size correctly because they are not built to.
What these stats mean for vendors
Seven categories selling into restaurants right now.
Each card maps a number above to a vendor category and the buyer profile that actually signs. CTA goes to a sample of the decision-maker list for that category.
Restaurant POS & payments
Toast, Square, Olo and the cloud-POS wave
40% digital orders plus ~60% off-premises means POS is the system of record for most independents. Buyer: owner or GM at single-unit and 2 to 10 unit operators.
Get the decision-maker listFood distribution & supply
Sysco, US Foods, PFG and regional broadliners
32% food cost is the line your contract sits inside. Buyer: owner-operator, exec chef, or purchasing lead at multi-unit operators.
Get the decision-maker listRestaurant payroll & HR
Restaurant365, Crunchtime, Gusto and back-office stacks
33% labor as a percent of revenue plus 15.5M employees is why payroll, scheduling, and tip-pool software is the highest-attach SaaS in the vertical.
Get the decision-maker listMarketing & reputation
Yelp Ads, Bentobox, Owner.com and review platforms
~65% of locations are too small for an in-house marketer. Reputation, local SEO, and email tools are bought by the owner directly.
Get the decision-maker listCommercial kitchen equipment
Range, fryer, walk-in, smallwares
Replacement cycles run 7 to 12 years on most kitchen equipment. With 749,404 locations and the post-2020 build wave, that is a permanent replacement pipeline.
Get the decision-maker listStaffing & hiring platforms
Snagajob, Workstream, Pared and shift-coverage tools
The labor shortage drives every hiring conversation. Pitch ROI in hours saved per week or roles filled per quarter, not in feature lists.
Get the decision-maker listDelivery & platform management
Third-party order managers and direct-order platforms
The off-premises share of traffic plus the commission economics of DoorDash, Uber Eats, and Grubhub created a whole category of platform consolidators. Sales cycle starts with the operator, not with the rider.
Get the decision-maker listWhy this page exists
The real-time complement to NRA's annual report.
If you sell into restaurants for a living, you have already paid for at least one of: a Statista subscription, an IBISWorld report, the NRA State of the Industry, Nation's Restaurant News, or a Technomic Top 500 license. Those reports are the right place for the canonical annual numbers. They are not built to answer the next question, which is always who do I send this pitch to on Tuesday morning.
That is the gap this page is built to close. Industry-trade publishers carry the macro at quarterly or annual cadence. Orbital carries the operator universe at company grain: 749,404 locations, the owner who actually signs the contract at each, and the firmographic signals you score on. The two stack cleanly on each other. The macro stat tells you the segment is moving. The decision-maker list tells you who to call.
We are not here to replace the annual report. We are here to make sure the people behind the numbers are reachable, by name, in the week you need to ship pipeline.
When this is the wrong page
Three times you should close the tab.
If you are researching consumer dining behaviour, menu psychology, or how Gen Z orders breakfast, this page will frustrate you. Use Statista consumer reports, Datassential, or Technomic consumer studies. They are built around the diner, not the operator.
If you sell to enterprise chains only, with a $250K floor, you do not need the operator universe. You need a named-account list of the top 100 brands and a contact for each. That is a different motion, and the right place to buy it is straight from a chain-restaurant database, not an industry-stats page.
If you are already a customer with a defined ICP, you do not need a stats page. Pull the slice you want directly, with the firmographic and signal filters Orbital ships, and skip the reading.
Questions
Restaurant industry stats, asked plainly.
How big is the US restaurant industry?
The National Restaurant Association projected $1.1 trillion in US restaurant industry sales for 2024, across 749,404 active locations and 15.5 million employees. That makes it the second-largest private-sector employer in the country after healthcare.
How many restaurants are there in the US?
749,404 active US restaurant locations in our April 2026 ingest, spanning full-service, quick-service, fast-casual, coffee, pizza, fine-dining, and catering. Independents run about 70% of those locations; chains run the other 30%. For the full count breakdown by state, see how many restaurants are in the US.
What is the average restaurant labor cost as a percent of revenue?
Restaurant labor sits around 30 to 33% of revenue for full-service and 25 to 30% for quick-service, per the National Restaurant Association 2024 State of the Restaurant Industry. Food cost runs another 28 to 32%, leaving roughly 3 to 5% net margin in a healthy year.
Which restaurant segment is growing fastest?
Fast-casual remains the fastest-growing segment by sales, up around 7 to 9% year-over-year per Technomic. Off-premises orders (delivery and pickup) drove most of that growth, now about 60% of total restaurant traffic.
Where do these restaurant industry statistics come from?
Sales, employment, and cost ratios from the National Restaurant Association 2024 State of the Restaurant Industry. Wages and workforce mix from the Bureau of Labor Statistics. Segment shares and growth rates from Technomic and Nation's Restaurant News. Location count and independent-vs-chain mix from Orbital's curated restaurant map, April 2026 pull.
How current are these numbers?
Industry-trade sources publish annually, so most ratios reflect 2024 reporting with 2025 projections. Orbital's location count and chain mix refresh quarterly. The page header marks the as-of month on each stat so you can cite confidently.
Who buys restaurant vendor data and why?
Restaurant POS, payments, food distribution, payroll, marketing, equipment, and staffing vendors use this kind of dataset to size addressable market, build outbound territories, and pitch with industry context the operator already trusts. The buyer is almost never the chef. It is usually the owner, the GM, or the multi-unit operator.
When are these restaurant statistics the wrong dataset?
If you are researching consumer dining trends, menu psychology, or food-and-beverage product positioning, use Statista or Technomic consumer reports. This page is oriented for vendors selling INTO restaurant operators. If you need a single owner-by-name list, jump straight to the restaurant email list page instead.
You have the stats. Now get the operators behind them.
749,404 active US restaurants, mapped location by location, with the owner or GM who actually buys what you sell. Tell us the segment and states you want, we send a sample of around 100 verified decision-maker contacts to check against your own.
Get the decision-maker listRelated Orbital data
Sister pages on the restaurant universe.
For the underlying count and state breakdown, see how many restaurants are in the US. For the corporate-chain side of the market, see the largest restaurant chains in the US. For the owner-by-name dataset behind these statistics, see the restaurant email list. Selling into adjacent SMB verticals built the same way? Start at the data index.