In June 2025, the U.S. restaurant industry received a performance index score of ***. One year prior, the industry received an index score of *****. The restaurant industry performance index is a statistical barometer measuring the overall health of the U.S. restaurant industry. The index is based on the results of the monthly Restaurant Industry Tracking Survey composed of a variety of indicators including sales, traffic, labor and capital expenditures. A value above 100 indicates a period of expansion while a value below 100 indicates a period of contraction.

This statistic shows the restaurant industry food and drink sales in the United States from 1970 to 2017. In 2016, food and drink sales of the U.S. restaurant industry amounted to approximately *** billion U.S. dollars.

More statistics and facts on fast food, the U.S. restaurant industry and the pizza (delivery) market.

U.S. restaurant industry - additional information

In 2016, food and drink sales in the United States restaurant industry amounted to *** billion U.S. dollars, up from ***** billion U.S. dollars in the previous year. Restaurants in the United States have created a booming industry that employed more than ** million people nationwide in 2015.

Unsurprisingly, the majority of food and drink sales in the U.S. restaurant industry take place in commercial restaurants. In 2016, full-service restaurant sales amounted to *** billion U.S. dollars and limited-service sales were *** U.S. dollars. The second largest contributor in 2015 was retail, vending, recreation and mobile vendors with sales of ***** billion U.S. dollars. The smallest proportion came from came from bars and taverns.

As of December 2016, things were still looking up for the U.S. restaurant industry: the monthly Restaurant Industry Tracking Survey, conducted by the National Restaurant Association, recorded a performance index score of ***** – any score over 100 indicates a period of expansion. The lowest performance index score between 2011 and 2017, ****, was recorded in August 2011. In November 2016, ** percent of U.S. consumers reported that cheaper restaurants would make them dine out more often.

In 2024, full service restaurant sales in the United States reached *** billion U.S. dollars, showing growth over the previous year. This figure was forecast by the source to grow to *** billion U.S. dollars in 2025.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of food services and drinking places (NAICS 722), annual, for five years of data.

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

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US Fast Casual Restaurants Market Size 2025-2029

The US fast casual restaurants market size is valued to increase USD 84.5 billion, at a CAGR of 13.7% from 2024 to 2029. Demand for innovation and customization in food menus will drive the US fast casual restaurants market.

Major Market Trends & Insights

By Channel - Dine-in segment was valued at USD 48.90 billion in 2022
By Application - Franchised segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 148.40 billion
Market Future Opportunities: USD 84.50 billion
CAGR from 2024 to 2029 : 13.7%

Market Summary

The Fast Casual Restaurants Market in the US continues to expand, driven by consumer preferences for fresh, customizable meal options. According to recent data, the market is projected to reach a value of USD115.5 billion by 2026, growing at a steady pace. This growth is fueled by the demand for innovation and personalization in food menus, with fast casual restaurants offering a middle ground between the limited offerings of quick-service establishments and the higher prices and longer wait times of full-service restaurants. In response to this trend, fast casual chains have been increasingly focusing on digitalization, streamlining ordering processes and enhancing the customer experience through mobile apps and contactless payment options.
However, this market segment faces intense competition from quick-service restaurants, which have also been adopting similar strategies to cater to evolving consumer preferences. As a result, fast casual restaurants must continue to differentiate themselves through unique menu offerings, efficient operations, and exceptional customer service to maintain their market share. Despite these challenges, the future of the fast casual market in the US remains promising, with opportunities for growth in both urban and suburban areas and the potential to expand beyond traditional brick-and-mortar locations through delivery and catering services.

What will be the Size of the US Fast Casual Restaurants Market during the forecast period?

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How is the Fast Casual Restaurants in US Market Segmented and what are the key trends of market segmentation?

The fast casual restaurants in US industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Channel

  Dine-in
  Takeaway


Application

  Franchised
  Standalone


Food Type

  Burger/Sandwich
  Pizza/Pasta
  Asian
  Latin American
  Chicken
  Others


Target Audience

  Millennials
  Working Professionals
  Families


Distribution Channel Specificity

  Specialty Chains
  Online Platforms
  Retail Foodservice


Geography

  North America

    US

By Channel Insights

The dine-in segment is estimated to witness significant growth during the forecast period.

Fast casual restaurants in the US, a hybrid of fast food and casual dining, have been continuously evolving since their inception, offering better quality meals with less frozen or processed ingredients. Operational efficiency improvements, such as revenue management techniques and table management systems, have been key to their success. Cost control strategies, including digital menu boards, inventory management software, and marketing automation tools, help maintain profitability. Third-party delivery services and brand positioning strategies cater to the growing demand for convenience. Sustainability initiatives, like food waste reduction and customer loyalty programs, enhance the dining experience and foster long-term relationships.

Kitchen display systems, food safety management, energy efficiency measures, and wait time optimization ensure consistent quality and customer satisfaction. Sales forecasting models, employee retention strategies, labor scheduling software, and restaurant management systems facilitate efficient operations. Data analytics dashboards, social media marketing, online reputation management, and order fulfillment process enhance customer engagement. Peak hour management, online ordering platforms, guest feedback systems, and customer experience metrics provide valuable insights for continuous improvement. Supply chain optimization and employee training programs ensure consistency and quality in menu offerings. According to a recent report, fast casual restaurants account for over 5% of total US foodservice sales.

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The Dine-in segment was valued at USD 48.90 billion in 2019 and showed a gradual increase during the forecast period.

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Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and

Title: Simulated Point of Sale (POS) Data with Seasonal Trends

Description: This dataset contains simulated Point of Sale (POS) transactions with seasonal trends. It is generated using Faker, a Python library for generating fake data, to mimic the behavior of a retail store over a period of time. The data includes various attributes such as timestamp, customer ID and name, item category and name, quantity, price per item, total price, and payment method.

Features:

Timestamp: The date and time of the transaction. Customer_ID: Unique identifier for each customer. Customer_Name: Name of the customer. Item_Category: Category of the purchased item, influenced by seasonal trends. Item_Name: Name of the purchased item. Quantity: Quantity of the purchased item. Price_Per_Item: Price per unit of the purchased item. Total_Price: Total price of the transaction (quantity * price per item). Payment_Method: Method of payment used for the transaction (Cash, Credit Card, Debit Card). Objective: This dataset can be used for various analytical purposes, including but not limited to:

Analyzing seasonal trends in customer purchasing behavior. Studying the popularity of different item categories across seasons. Predicting future sales based on historical data and seasonal patterns. Evaluating the effectiveness of marketing campaigns or promotions during different seasons. Usage: Data scientists, analysts, and machine learning enthusiasts can utilize this dataset to explore and practice data analysis, visualization, and predictive modeling techniques.

Acknowledgement: The dataset is generated for educational and practice purposes, using Faker library for fake data generation.

Graph and download economic data for Retail Sales: Restaurants and Other Eating Places (MRTSSM7225USN) from Jan 1992 to Jul 2025 about restaurant, retail trade, sales, retail, and USA.

Restaurant for canning a pre sampled zipcode list. If you are interested in building a smilar dataset for a different list of locations. Please contact info@barkingdata.com Data can be used to study merchants of justeat, or cuisines or delivery time and cost etc.

Data attributes include: "searched_zipcode","searched_category","searched_lat","searched_lng","loc_name","loc_number","address","cuisines","offers", "delivery_fee_raw","delivery_fee","delivery_time_raw","delivery_time","service_fee_raw","service_fee","distance","review_count","review_rating" We specialize in web mining and web data harvesting from the world wide web (including mobile apps), we have built 5000+ datasets for researchers, analysts, scholars , retailers, ... Learn more from https://www.barkingdata.com

The Restaurant Catering Systems market has seen significant growth in recent years, transforming the way businesses manage large-scale food services. Catering systems play a critical role in the food and beverage industry, enabling restaurants and catering companies to efficiently coordinate their services, manage i

The 'General Restaurant Status' data provided by Seogwipo-si, Jeju Special Self-Governing Province is public data that allows you to comprehensively check the distribution and size of general restaurants (Korean, Chinese, Western, etc.) registered in Seogwipo-si. The file includes business name, street address, business type (business type), area (㎡), and data base date. This data can be used as basic data for creating a regional restaurant industry distribution map, analyzing statistics by business district and business type, establishing policies based on business area, creating restaurant guides for tourists and residents, identifying hygiene and safety evaluation points, and creating a fair competition environment.

Basic data on restaurants in Castile and Leon since 2000 broken down by year and municipality.

These data are offered by the where other queries about births, basic data and other thematic modules can also be made.

In addition, the EIS provides a .

Graph and download economic data for Hourly Compensation for Accommodation and Food Services: Full-Service Restaurants (NAICS 722511) in the United States (IPUTN722511U121000000) from 1988 to 2024 about restaurant, accommodation, compensation, NAICS, hours, IP, food, services, and USA.

Graph and download economic data for All Employees, Food Services and Drinking Places (CES7072200001) from Jan 1990 to Aug 2025 about leisure, hospitality, establishment survey, food, services, employment, and USA.

The global restaurant industry was seriously impacted by the coronavirus (COVID-19) pandemic. Social distancing measures and general caution towards public places caused many consumers to dine out less. According to the source, the year-over-year change of seated diners in restaurants worldwide, compared to 2019, was **** percent on August 1, 2022. Has the global online food delivery sector grown due to COVID-19? The market size of the global online food delivery sector was estimated to total ***** billion U.S. dollars in 2022, a figure that is forecast to grow to over *** billion U.S. dollars by 2027. Due to the coronavirus (COVID-19) pandemic, and a subsequent lack of in-house dining, worldwide digital restaurant food delivery grew across various countries from 2019 to 2020. Digital delivery services are defined as meals or snacks ordered via mobile app, internet, or text message. In total, digital restaurant delivery increased ** percent globally, with the United States increasing the most at *** percent. What is the leading restaurant chain worldwide? When looking at the global restaurant landscape, the majority of the biggest brands are quick service restaurants (QSRs). In a 2021 ranking of the most valuable quick service brands worldwide, McDonald's came out on top, reaching a brand value of ***** billion U.S. dollars. Meanwhile, Starbucks was a not so close second place, at approximately **** billion U.S. dollars.

Graph and download economic data for All Employees: Leisure and Hospitality: Full-Service Restaurants in Washington-Arlington-Alexandria, DC-VA-MD-WV (MD) (SMU11478947072251101) from Jan 1990 to Dec 2024 about restaurant, services, employment, and USA.

Canada Food Services Sales: Receipts: Full-Service Restaurants data was reported at 3,017,385.000 CAD mn in Feb 2025. This records a decrease from the previous number of 3,151,187.000 CAD mn for Jan 2025. Canada Food Services Sales: Receipts: Full-Service Restaurants data is updated monthly, averaging 1,844,030.500 CAD mn from Jan 1998 (Median) to Feb 2025, with 326 observations. The data reached an all-time high of 3,851,653.000 CAD mn in Aug 2024 and a record low of 664,031.000 CAD mn in Apr 2020. Canada Food Services Sales: Receipts: Full-Service Restaurants data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H022: Food Services Sales. [COVID-19-IMPACT]

Graph and download economic data for All Employees: Leisure and Hospitality: Limited-Service Restaurants and Other Eating Places in California (SMU06000007072259001SA) from Jan 1990 to Aug 2025 about restaurant, leisure, hospitality, food, CA, services, employment, and USA.

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Restaurant Digitization Solutions Market Size 2024-2028

The restaurant digitization solutions market size is forecast to increase by USD 6.89 billion, at a CAGR of 16.81% between 2023 and 2028. The market growth is driven by several key factors such as the growing food service industry and changing consumer preferences, leading to an increased demand for innovative solutions that enhance service efficiency and customer experience. As businesses strive to adapt to evolving market trends, there is a significant focus on reduction in operational costs, achieved through streamlined processes and technology integration. Additionally, the rising need for large-scale client management systems reflects the growing complexity of managing customer relationships and maintaining high service standards in a competitive landscape. These dynamics collectively contribute to market expansion, as companies seek effective strategies and technologies to optimize operations, meet consumer demands, and manage client interactions more efficiently.

What will be the Size of the Market During the Forecast Period?

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Market Dynamic and Customer Landscape

The market is witnessing significant growth as the Foodservice industry embraces digital technologies to enhance operations, customer experiences, and drive business growth. Key areas of focus include ordering, payment processing, inventory management, data analytics, and customer engagement. Digital ordering and payment processing systems streamline transactions, improve operational efficiency, and cater to the increasing smartphone usage and online food ordering trends. Customer engagement tools like loyalty programs and personalized marketing campaigns leverage data analytics to deliver targeted promotions and enhance the overall customer experience. Delivery apps and online reservation systems further expand the reach of restaurants, while digital menus offer dynamic, interactive experiences. Point-of-sale systems and online ordering platforms enable data-driven decision-making, while mobile payment options and mobile apps offer convenience and flexibility. The tech-driven landscape continues to evolve, with social media and data analytics playing increasingly important roles in shaping the future of the restaurant industry.

Key Market Driver

Growing food service industry and changing consumer preference is notably driving market growth. The restaurant industry is experiencing significant transformation due to digitization technologies, with fast-food segments and cafés adopting digital solutions at an accelerated pace. Digitization is enabling these businesses to expand their online presence through delivery apps, online ordering platforms, and mobile payment options. Data-driven decision-making is becoming essential in this tech-driven landscape, with loyalty programs and personalized marketing campaigns being key differentiators. Mobile apps, contactless ordering, and digital menus are becoming the norm, with machine learning and virtual kitchens revolutionizing the industry.

In addition, growth opportunities abound in areas such as order tracking, stock levels, supply chain management, and digital payment systems. Contactless dining and near-field communication are also gaining popularity, with contactless-enabled cards, smartphones, and wearables becoming common payment methods in a cashless society. Thus, such factors are driving the growth of the market during the forecast period.

Key Market Trends

Growing use of digital payment solutions in food service industry is the key trend in the market. The market is witnessing a significant shift towards digitization, with an increasing number of transactions becoming cashless. According to recent trends, digital payments are projected to account for nearly 90% of total spending in the Canadian market by 2030. In response, numerous foodservice enterprises are adopting digitization technologies to enhance their operations and gain a competitive edge. These solutions include delivery apps, online ordering platforms, mobile payment options, and contactless ordering systems. Digital presence is crucial for fast-food segments and cafes alike, with online reservations, digital menus, and loyalty programs becoming essential components of tech-driven landscapes.

Further, machine learning and virtual kitchens are also gaining popularity, enabling personalized marketing campaigns and optimizing stock levels and supply chain management. Moreover, contactless dining and digital payment systems, such as near-field communication and contactless-enabled cards, are increasingly being adopted to cater to the growing preference for cashless societies. Smartphones and wearables have become essential tools for ordering and making payments, with smart POS systems and order tracking features streamlining processes and improving custome

Graph and download economic data for Hours Worked for Accommodation and Food Services: Full-Service Restaurants (NAICS 722511) in the United States (IPUTN722511L010000000) from 1987 to 2024 about restaurant, accommodation, NAICS, hours, IP, food, services, and USA.