Market Size statistics on the Fast Food Restaurants industry in the US

The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the County’s Fee and Permit System. A chain restaurant defined by the County is any restaurant that has more than one location in the County. Chain restaurants capture both local and national chains (including locally owned national chains) so long as there is one or more establishments in operation within the County.

About Dataset:

Nutritional values, including Calories and Micro-nutrients from six of the largest and most popular fast food restaurants:

1. McDonald's
2. Burger King
3. Wendy's
4. (KFC)
5. Taco Bell
6. Pizza Hut

Attributes include: Calories, Calories from Fat, Total Fat, Saturated Fat, Trans Fat, Cholesterol, Sodium, Carbs, Fiber, Sugars, Protein, and Weight Watchers Points (where available).

The dataset is provided by one of the largest fast-food restaurant chains in the US. It includes (1) transaction information such as menu items that were purchased and quantities of each item; (2) ingredient lists for individual menu items; (3) metadata on restaurants, including location, and store type. The data observation window is from early March, 2015 to 06/15/2015 and includes transactional data from 2 stores in Berkeley, CA and 2 stores in New York, NY.

Employment statistics on the Global Fast Food Restaurants industry in Global

Cooks working in fast food restaurants in the United States had a median hourly wage of 14.50 U.S. dollars as of May 2024. Meanwhile, 10 percent of fast food cooks earned less than 10.76 U.S. dollars per hour.

This is a list of 10,000 fast food restaurants provided by Datafiniti's Business Database. The dataset includes the restaurant's address, city, latitude and longitude coordinates, name, and more.

Note that this is a sample of a large dataset. The full dataset is available through Datafiniti.

What You Can Do With This Data

You can use this data to rank cities with the most and least fast food restaurants across the U.S. E.g.:

• Cities with the most and least McDonald's per capita
• Fast food restaurants per capita for all states
• Fast food restaurants with the most locations nationally
• Major cities with the most and least fast food restaurants per capita
• Small cities with the most fast food restaurants per capita
• States with the most and least fast food restaurants per capita
• The number of fast food restaurants per capita

Original Data

Acknowlegement

Foto von Haseeb Jamil auf Unsplash

The market is estimated to reach USD 207,415.5 million in 2025 and is expected to grow to USD 341,089.4 million by 2035, reflecting a compound annual growth rate (CAGR) of 5.1% throughout the assessment period.

Metric	Value
Industry Size (2025E)	USD 207,415.5 million
Industry Value (2035F)	USD 341,089.4 million
CAGR (2025 to 2035)	5.1%

Country wise Outlook

Country	CAGR (2025 to 2035)
USA	5.0%

Country	CAGR (2025 to 2035)
UK	5.2%

Country	CAGR (2025 to 2035)
European Union	5.3%

Country	CAGR (2025 to 2035)
Japan	5.1%

Country	CAGR (2025 to 2035)
South Korea	5.4%

Competitive Outlook

Company Name	Estimated Market Share (%)
McDonald's	18-22%
Yum! Brands	15-19%
Darden Concepts, Inc.	10-14%
Quality Is Our Recipe, LLC	8-12%
Carrols Restaurant Group, Inc.	6-10%
Other Companies (combined)	30-40%

According to a survey on fast food conducted in Indonesia in February 2023, around ** percent of respondents stated that they ate fast food once a week. In comparison, *** percent of respondents said that they ate fast food more than ***** times a week.

This statistic shows the results of a survey conducted by Cint on the average number of times fast food from quick service restaurants was consumed per week in the United States between 2016 and 2018. In 2018, ***** percent of respondents in the United States stated they eat fast food less than once per week.

The Fast Food Market Report is Segmented by Product Type (Burger, Sandwich, Meat Based Cuisines, and More), Restaurant Type (Quick Service Restaurants (QSR), Fast-Casual Restaurants, and More), Ordering Channel (Dine-In, Drive-Thru/Take-Away, and More), Outlet Type (Independent Outlet, and Chain Outlet), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

The Johns Hopkins Center for a Livable Future (CLF) obtained the food permit list from the Baltimore City Health Department in August 2011, which includes all sites that sell food, such as stores, restaurants and temporary locations such as farmers' market stands and street carts. The restaurants were grouped into three categories, including full service restaurants, fast food chains and carryouts. Carryout and fast food chain restaurants were extracted from the restaurant layer and spatially joined with the 2010 Community Statistical Area (CSA) data layer, provided by BNIA-JFI. The prepared foods density, per 1,000 people, was calculated for each CSA using the CSA's population and the total number of carryout and fast food restaurants, including vendors selling prepared foods in public markets, in each CSA. Source: Johns Hopkins University, Center for a Livable FutureYears Available: 2011, 2013, 2018, 2019

Employment statistics on the Fast-Food Restaurants industry in China

Between October and November of 2020, fast food consumers primarily from the United States were asked about the reasons they ate fast food. Approximately **** percent of those surveyed stated convenience as the leading reason they ate fast food. Meanwhile, the second highest percentage of respondents, **** percent, said it was because it tasted good.

The U.S. Fast Food & Quick Service Restaurant (QSR) Market Size Was Worth USD 405 Billion in 2023 and Is Expected To Reach USD 663 Billion by 2032, CAGR of 10.3%.

1) Data Introduction • The Fast Food Classification Dataset is designed for image classification of various fast food items, consisting of a total of 10 classes: Burger, Donut, Hot Dog, Pizza, Sandwich, Baked Potato, Crispy Chicken, Fries, Taco, and Taquito.

2) Data Utilization (1) Characteristics of the Fast Food Classification Dataset: • The dataset includes images captured under various lighting conditions, backgrounds, and angles, making it suitable for evaluating the generalization performance of classification models in real-world scenarios.

(2) Applications of the Fast Food Classification Dataset: • Training fast food image classification models: Can be used to develop deep learning–based image classifiers that accurately distinguish between various fast food items. • Building automated food recognition systems: Applicable to real-time food identification and classification in self-order kiosks, smart POS systems, and food recognition apps.

Fast Food Finder

## Overview

Fast Food Finder is a dataset for object detection tasks - it contains Fast Food annotations for 1,957 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The total number of fast food restaurants in Turkey showed a steady increase between 2017 and 2022, except for a decrease in 2020 due the coronavirus (COVID-19) pandemic. After 2020, the figures started to go up again, reaching a peak value of 27.5 thousand in 2022.

Comprehensive dataset containing 19 verified Fast food restaurant businesses in FO with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 52 verified Fast food restaurant businesses in MC with complete contact information, ratings, reviews, and location data.