In the 12 weeks ending July 14, 2024, the dollar sales of frozen pizza in the United States amounted to 1.5 billion U.S. dollars. Refrigerated pizza and pizza kits followed, with a sales value of close to 123 million dollars.

According to the data, for the 12 weeks ending July 14, 2024, Uno was the leading refrigerated pizza and pizza kit brand of the United States, after private labels, with sales amounting to over 340,000 units. Panera Bread followed, with sales reaching close to 289,000 units.

Domino's Pizza was the pizza chain with the most units in the United States in 2023. The company had 6,854 restaurants across the country that year, which was nearly 300 more than Pizza Hut and well over 2,000 more than Little Caesars. Which chain sells the most pizzas in the U.S.? Annual pizza restaurant sales in the United States exceeded 40 billion U.S. dollars for the seventh consecutive year in 2022, totaling 46.9 billion U.S. dollars. In terms of sales, Domino’s Pizza was the leading pizza chain in the United States in 2023. Pizza Hut and Little Caesars ranked second and third, respectively. Independent stores hope to break the chains The total number of pizza restaurants in the United States increased to 80,175 in 2022. That same year, there were 44,644 independent pizza restaurants in the U.S., which was roughly five thousand more than the previous year. Meanwhile, the number of U.S.-based pizza chain restaurants in 2022 was 35,531.

This is a realistic and structured pizza sales dataset covering the time span from **2024 to 2025. ** Whether you're a beginner in data science, a student working on a machine learning project, or an experienced analyst looking to test out time series forecasting and dashboard building, this dataset is for you.

📁 What’s Inside? The dataset contains rich details from a pizza business including:

✅ Order Dates & Times ✅ Pizza Names & Categories (Veg, Non-Veg, Classic, Gourmet, etc.) ✅ Sizes (Small, Medium, Large, XL) ✅ Prices ✅ Order Quantities ✅ Customer Preferences & Trends

It is neatly organized in Excel format and easy to use with tools like Python (Pandas), Power BI, Excel, or Tableau.

💡** Why Use This Dataset?** This dataset is ideal for:

📈 Sales Analysis & Reporting 🧠 Machine Learning Models (demand forecasting, recommendations) 📅 Time Series Forecasting 📊 Data Visualization Projects 🍽️ Customer Behavior Analysis 🛒 Market Basket Analysis 📦 Inventory Management Simulations

🧠 Perfect For: Data Science Beginners & Learners BI Developers & Dashboard Designers MBA Students (Marketing, Retail, Operations) Hackathons & Case Study Competitions

pizza, sales data, excel dataset, retail analysis, data visualization, business intelligence, forecasting, time series, customer insights, machine learning, pandas, beginner friendly

In 2023, four chains dominated the United States’ quick service restaurant (QSR) pizza industry in terms of sales. Domino’s pizza topped the list with nearly 9.03 billion U.S. dollars in sales that year. Meanwhile, Pizza Hut, Little Caesars, and Papa John’s ranked second, third, and fourth, respectively. The firth ranked chain, Marco’s Pizza, barely exceeded one billion U.S. dollars in sales. Which pizza chain has the most restaurants in the U.S.? Along with having the highest sales, Domino's Pizza was the QSR pizza chain with the most units in the U.S. in 2023. The company had 6,854 restaurants across the country that year, which was nearly 300 more than Pizza Hut and well over 2,000 more than Little Caesars. Domino’s is a global success story as well, boasting tens of thousands of international restaurants in 2023. How popular is Domino’s Pizza in the U.S.? A common metric of determining consumer satisfaction across various industries in the United States is the American Customer Satisfaction Index (ACSI) score, which quantifies consumer satisfaction on a scale from 0 to 100. In 2024, the ACSI score of Domino’s Pizza was one point below the industry average. The QSR pizza chain with the highest ACSI score that year, meanwhile, was Papa John’s.

Basic: Retrieve the total number of orders placed. Calculate the total revenue generated from pizza sales. Identify the highest-priced pizza. Identify the most common pizza size ordered. List the top 5 most ordered pizza types along with their quantities.

Intermediate: Join the necessary tables to find the total quantity of each pizza category ordered. Determine the distribution of orders by hour of the day. Join relevant tables to find the category-wise distribution of pizzas. Group the orders by date and calculate the average number of pizzas ordered per day. Determine the top 3 most ordered pizza types based on revenue.

Advanced: Calculate the percentage contribution of each pizza type to total revenue. Analyze the cumulative revenue generated over time. Determine the top 3 most ordered pizza types based on revenue for each pizza category.

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Pizza Market Size 2025-2029

The pizza market size is forecast to increase by USD 70.1 billion at a CAGR of 6.8% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing consumption of pizza in developing countries and the growing popularity of online food orders through portals and mobile apps. The market is projected to witness expansion due to changing consumer preferences towards convenience and the ease of ordering food online. Additionally, the trend of consumers opting for pizza as a quick and affordable meal option, especially among the younger demographic, is fueling market growth. However, the market faces challenges such as fluctuation in prices of food commodities, particularly wheat and cheese, which can impact the profitability of pizza businesses. To capitalize on the market opportunities, companies can focus on expanding their online presence and offering innovative menu options to cater to evolving consumer preferences. Strategic partnerships and collaborations with food delivery platforms and technology companies can also help pizza businesses streamline their operations and improve customer experience. In , the market presents significant growth opportunities for players, with the increasing demand for convenient and affordable meal options and the growing popularity of online food orders. Companies can navigate the challenges effectively by focusing on innovation, operational efficiency, and strategic partnerships.

What will be the Size of the Pizza Market during the forecast period?

Request Free SampleThe market encompasses a diverse range of offerings, from traditional pies to innovative alternatives catering to evolving consumer preferences. Market size is significant, with billions of dollars in annual revenue generated worldwide. Key trends include the growing demand for plant-based options, such as vegan cheeses and meats, whole wheat crusts, and cauliflower crusts. These trends reflect the increasing popularity of plant-based diets and a focus on healthier food choices. Gourmet pizzas, featuring unique toppings and artisanal ingredients, continue to gain traction, as do delivery services and online ordering platforms, which offer convenience and flexibility for consumers. Traditional pizza chains and convenience stores remain major players in the market, while brand recognition and product differentiation remain crucial factors in market competition. Raw materials, such as wheat, tomatoes, and various cheeses, significantly impact market dynamics, with price fluctuations and supply chain disruptions influencing overall market conditions.

How is this Pizza Industry segmented?

The pizza 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. Distribution ChannelQuick service restaurants (QSR)Full-service restaurants (FSR)OthersTypeNon-vegetarian pizzaVegetarian pizzaGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanMiddle East and AfricaSouth AmericaBrazil

By Distribution Channel Insights

The quick service restaurants (qsr) segment is estimated to witness significant growth during the forecast period.Quick Service Restaurants (QSRs) have gained significant popularity due to their efficient and convenient food offerings, particularly in the market. Pizza, a staple food item, is a top choice for consumers at QSRs due to its minimal preparation time and diverse toppings. Factors such as worldwide popularity, convenience, and consumer tastes have driven the demand for pizza in various settings, including grocery stores, social gatherings, and urban centers. QSRs offer various pizza options, including gourmet pizzas, vegan pizzas, and artisanal pizzas. These pizzas may feature plant-based diets, vegan cheese, and plant-based meats. Technical advancements, such as robotic automation and ghost kitchens, have streamlined production processes, enabling QSRs to deliver freshly baked, heated pizza slices, pizza rolls, and pizza pockets with convenience and speed. Market outlook is positive, with an increasing focus on healthier product variants, such as gluten-free crusts and locally sourced ingredients, as well as ethical practices. Consumers can order pizzas online or through mobile apps, with delivery services, retail stores, and convenience stores providing various options. QSRs also offer competitive prices, combo offers, and loyalty programs to attract and retain customers. Pizza chains dominate the market, with a strong brand presence and recognition. Effective marketing strategies, such as marketing campaigns and social media engagement, have contributed to the growth of the market. The market caters to diverse consumer preferences, offering various pizza styles, cheese types, cr

Description:

This dataset contains two related tables: sales and ingredients. It is designed for projects focusing on sales forecasting, ingredient optimization, and supply chain management for a pizza delivery business. By leveraging historical data, users can build predictive models to minimize ingredient waste, prevent stockouts, and optimize purchasing strategies.

Dataset Details:

1. Sales Table:
- Shape: 48,620 rows × 16 columns - Columns: - pizza_id: Unique identifier for a pizza. - order_id: Unique identifier for a sales order. - pizza_name_id: Identifier linking the pizza to its recipe. - quantity: Number of pizzas sold. - unit_price: Price per unit of pizza. - total_price: Total price for the order. - pizza_size, pizza_category: Size and category of the pizza. - pizza_ingredients: Ingredients used in the pizza. - Year, Month, Day, Hour, Minute, Second: Timestamp details of the order.

2. Ingredients Table: - Shape: 518 rows × 4 columns - Columns: - pizza_name_id: Identifier linking the pizza to its recipe. - pizza_name: Name of the pizza. - pizza_ingredients: List of ingredients in the pizza. - Items_Qty_In_Grams: Quantity of each ingredient in grams.

Use Cases:

• Sales forecasting to predict future demand.
• Ingredient optimization for reducing waste and preventing shortages.
• Supply chain analysis and inventory planning.

Potential Applications:

• Time series analysis and forecasting.
• Machine learning models for predictive analytics.
• Data visualization for understanding sales and ingredient trends.

Olive Garden was the leading full service Italian/pizza restaurant chain in the United States when it came to systemwide sales, accounting for approximately 5.11 billion U.S. dollars in 2023. Second in the ranking by a considerable margin was Carrabba's Italian Grill with sales that reached 770 million U.S. dollars.

Number of Businesses statistics on the Pizza Restaurants industry in United States

Comprehensive dataset of 95,956 Pizza restaurants in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Analysis of ‘🍕 Pizza restaurants and Pizzas on their Menus’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/pizza-restaurants-and-pizzas-on-their-menuse on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

About this Data

This is a list of over 3,500 pizzas from multiple restaurants provided by Datafiniti's Business Database. The dataset includes the category, name, address, city, state, menu information, price range, and more for each pizza restaurant.

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 discover how much you can expect to pay for pizza across the country. E.g.:

• What are the least and most expensive cities for pizza?
• What is the number of restaurants serving pizza per capita (100,000 residents) across the U.S.?
• What is the median price of a large plain pizza across the U.S.?
• Which cities have the most restaurants serving pizza per capita (100,000 residents)?

Data Schema

A full schema for the data is available in our support documentation.

About Datafiniti

Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more.

Interested in the Full Dataset?

Get this data and more by creating a free Datafiniti account or requesting a demo.

This dataset was created by Datafiniti and contains around 10000 samples along with Longitude, Price Range Max, technical information and other features such as: - Date Updated - Categories - and more.

How to use this dataset

• Analyze Date Added in relation to Province
• Study the influence of Price Range Min on Address
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Datafiniti

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Dataset

This dataset was created by Johar M. Ashfaque

Contents

Comprehensive dataset of 1,652 Pizza restaurants in Missouri, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Sales of frozen pizza in the United States amounted to approximately 7.02 billion U.S. dollars in 2023, up from 6.77 billion U.S. dollars the previous year. Frozen pizza - additional informationPizza is an Italian flatbread made with tomato sauce, cheese and an assortment of toppings such as meats, seafood and vegetables. Frozen pizzas, as well as other convenience foods, have become kitchen staples in many households in the United States. Nestlé USA, Schwan Food Co, General Mills and Palermo Villa were the leading frozen pizza vendors in the U.S. in 2019. DiGiorno, a subsidiary of Nestlé, was the nation’s number one frozen pizza brand that year, with sales amounting to over one billion U.S. dollars. Private labels were also very popular among U.S. consumers, accounting for an 11 percent share of the frozen pizza market. Other best-selling frozen pizza brands included Red Baron, Totino’s Party Pizza and Tombstone. DiGiorno frozen pizza was first introduced into the U.S. market in 1995. All DiGiorno pizza products are manufactured in the Midwest. The company sources all of its ingredients in the United States and its pizza bakeries employ more than 1,550 people. Apart from DiGiorno, Nestlé owns top frozen pizza brands Tombstone, Jack’s and California Pizza Kitchen.

Comprehensive dataset of 1,175 Pizza restaurants in Oregon, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Human food consumption is responsible for significant environmental impacts, which in recent years have been the focus of an increasing amount of research. One of the major results of these efforts has been an appreciation for the ways in which impacts can differ among products. To date, though, relatively little is known about possible differences in the environmental performance of a single food product that is made or produced in different contexts. Furthermore, the influence of consumer practices, such as cooking time or cleaning method, has not yet been investigated. This dataset therefore provides information i) to compare the environmental impacts of a single food product—in this case, pizza—that is produced in different contexts (industrial, homemade, and assembled at home) and ii) to investigate the influence of real-world consumer practices on these impacts. Two study models were used: a ham-and-cheese pizza and a mixed-cheese pizza. The functional units examined were one pizza and 1 kg of ready-to-eat pizza. The system perimeter extended from the agricultural production of ingredients to the consumption of the pizza at home. All inventory data related to the steps occurring before purchase (including storage at the supermarket) came from databases or the literature, while inventory data related to the steps occurring after the sale were obtained from questionnaires answered by 69 consumers who prepared and consumed the six pizzas (two recipes x three methods of preparation) at home. Background data were selected in the AGRIBALYSE 3.0 and Ecoinvent 3.6 databases. The environmental impacts of the six pizzas were calculated by Life Cycle Assessment (LCA) using the characterization method "EF 3.0 Method (adapted) V1.00 / EF 3.0 normalization and weighting set” in SimaPro software. To compare the environmental impacts of the six pizzas, 69 LCAs were performed for each; to compensate for missing data from incomplete questionnaires, we performed random draws from the available data to generate the life cycle inventory for each assessment. The data obtained in this study can be used to make recommendations to consumers regarding more environmentally friendly food choices and practices.

Comprehensive dataset of 2,425 Pizza restaurants in Georgia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Frozen Pizza Market size was valued at USD 22.35 billion in 2021 and is poised to grow from USD 23.56 billion in 2022 to USD 28.67 billion by 2030, growing at a CAGR of 5.5% in the forecast period (2023-2030).

Comprehensive dataset of 1,011 Pizza restaurants in Oklahoma, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.