100+ datasets found
  1. Most ordered types of fast food in the U.S. 2023

    • statista.com
    • tokrwards.com
    Updated Jun 27, 2025
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    Statista (2025). Most ordered types of fast food in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1414293/most-ordered-fast-food-us/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States is known as the home of fast food. But in this competitive market, what kind of fast food do consumers order the most? During a 2023 survey,****** emerged as the most frequently ordered fast food in the U.S., with ** percent of respondents indicating it as their top choice. Comparatively, only **** percent of participants reported TexMex as their most ordered type of fast food.

  2. Fast Food Restaurants in the US

    • ibisworld.com
    Updated Sep 15, 2025
    + more versions
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    IBISWorld (2025). Fast Food Restaurants in the US [Dataset]. https://www.ibisworld.com/industry-statistics/market-size/fast-food-restaurants-united-states/
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2006 - 2031
    Area covered
    United States
    Description

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

  3. C

    Allegheny County Fast Food Establishments

    • data.wprdc.org
    • s.cnmilf.com
    • +3more
    csv, html
    Updated Jun 3, 2024
    + more versions
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    Allegheny County (2024). Allegheny County Fast Food Establishments [Dataset]. https://data.wprdc.org/dataset/allegheny-county-fast-food
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    csv, htmlAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    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.

    Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.

  4. Global Fast Food Restaurants

    • ibisworld.com
    Updated Aug 15, 2024
    + more versions
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    IBISWorld (2024). Global Fast Food Restaurants [Dataset]. https://www.ibisworld.com/global/employment/global-fast-food-restaurants/1480/
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    Dataset updated
    Aug 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2030
    Description

    Employment statistics on the Global Fast Food Restaurants industry in Global

  5. Frequency of eating fast food in a week Indonesia 2023

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). Frequency of eating fast food in a week Indonesia 2023 [Dataset]. https://www.statista.com/statistics/1462237/indonesia-weekly-fast-food-consumption/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 31, 2023 - Feb 9, 2023
    Area covered
    Indonesia
    Description

    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.

  6. U.S. - average fast food consumption per week in 2016-2018

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. - average fast food consumption per week in 2016-2018 [Dataset]. https://www.statista.com/statistics/561297/us-average-fast-food-consumption-per-week/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  7. c

    Fast Food Classification Dataset

    • cubig.ai
    Updated Oct 12, 2024
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    CUBIG (2024). Fast Food Classification Dataset [Dataset]. https://cubig.ai/store/products/581/fast-food-classification-dataset
    Explore at:
    Dataset updated
    Oct 12, 2024
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Privacy-preserving data transformation via differential privacy, Synthetic data generation using AI techniques for model training
    Description

    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.

  8. Fast Food Market Analysis, Size, and Forecast 2025-2029: North America (US,...

    • technavio.com
    pdf
    Updated Jan 25, 2025
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    Technavio (2025). Fast Food Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, Italy, Spain, and UK), Middle East and Africa (UAE), APAC (China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/fast-food-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Jan 25, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    Snapshot img

    Fast Food Market Size 2025-2029

    The fast food market size is forecast to increase by USD 119.6 billion, at a CAGR of 3% between 2024 and 2029.

    Major Market Trends & Insights

    APAC dominated the market and accounted for a 35% growth during the forecast period.
    By the Product - Non-vegetarian fast food segment was valued at USD 424.90 billion in 2023
    By the Service Type - Eat-in segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 28.51 billion
    Market Future Opportunities: USD 119.60 billion 
    CAGR : 3%
    APAC: Largest market in 2023
    

    Market Summary

    The global fast food market was valued at USD 712 billion in 2024 and is expected to reach USD 895 billion by 2029, driven by rising urbanization, convenience trends, and changing dietary preferences. The U.S. accounts for over 28% of global fast food sales, with more than 194,000 fast-food establishments operating nationwide. Quick Service Restaurants (QSRs) dominate, representing over 60% of market revenue, while online food delivery platforms contribute to over 30% of total orders globally. Increasing demand for plant-based menu options, gluten-free offerings, and low-calorie meals reflects growing health-conscious consumer behavior. Additionally, AI-driven personalization and self-service kiosks are transforming customer experience in the industry. Internal linking opportunities include Functional Food Ingredients Market, Plant-Based Food Market, and Online Food Delivery Market, which align with evolving fast-food trends and consumer expectations.

    What will be the Size of the Fast Food Market during the forecast period?

    Explore market size, adoption trends, and growth potential for fast food market Request Free Sample

    The fast food market continues to expand, driven by innovations in restaurant technology and the integration of food service equipment designed to improve speed and efficiency. Brands are adopting POS terminal integration and online ordering integration to streamline transactions and meet growing consumer demand for convenience. Enhancing kitchen workflow efficiency and implementing structured employee training programs are critical to reducing errors and ensuring consistency in service.

    Modern operators rely heavily on customer feedback systems and data driven decision making to refine operations. Advanced supply chain traceability, stringent food quality control, and robust sanitation protocols support compliance and safety, while strategies for operational efficiency and cost reduction strategies remain essential for maintaining margins. Growth initiatives include revenue generation, customer acquisition, and customer retention, supported by menu optimization and targeted campaigns informed by marketing analytics and brand positioning.

    Strategic decisions like location analysis and franchise development influence expansion, while effective store operations, staff management, and inventory control are key for sustaining performance. Tools for food cost control, quality assurance, and sales forecasting help operators maintain profitability. Additionally, profitability analysis, risk management, and a strong focus on customer experience are shaping the competitive landscape. With digitalization and analytics driving innovation, the sector is evolving toward faster, smarter, and more customer-centric models.

    How is this Fast Food Industry segmented?

    The fast food 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.

    Product
    
      Non-vegetarian fast food
      Vegetarian fast food
    
    
    Service Type
    
      Eat-in
      Take away
      Home delivery
      Others
    
    
    End-User
    
      Quick Service Restaurants
      Fast Casual Restaurants
      Others
    
    
    Target Audience
    
      Youth
      Families
      Professionals
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        Italy
        Spain
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

    The non-vegetarian fast food segment is estimated to witness significant growth during the forecast period.

    In the dynamic the market, various strategies are employed by outlets to attract consumers and drive growth. Menu engineering principles introduce innovative non-vegetarian dishes, primarily focusing on fish, seafood, chicken, beef, and other options. Consumers' preference for low-calorie and high-protein food products, such as meat-based offerings, further propels market expansion. Chicken, in particular, is a highly demanded non-vegetarian fast food category. Resta

  9. Z

    U.S. Fast Food & Quick Service Restaurant (QSR) Market By Cuisine (Pizza,...

    • zionmarketresearch.com
    pdf
    Updated Sep 28, 2025
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    Zion Market Research (2025). U.S. Fast Food & Quick Service Restaurant (QSR) Market By Cuisine (Pizza, Bakeries, Ice-Cream, Meat-Based Cuisines, and Burger), By Outlet (Independent Outlets and Chained Outlets), and By Region - Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2024 - 2032- [Dataset]. https://www.zionmarketresearch.com/report/us-fast-food-and-quick-service-restaurant-qsr-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 28, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global, United States
    Description

    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%.

  10. R

    Fast Food Finder Dataset

    • universe.roboflow.com
    zip
    Updated Feb 8, 2024
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    Algebra (2024). Fast Food Finder Dataset [Dataset]. https://universe.roboflow.com/algebra/fast-food-finder
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    zipAvailable download formats
    Dataset updated
    Feb 8, 2024
    Dataset authored and provided by
    Algebra
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Fast Food Bounding Boxes
    Description

    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).
    
  11. Fast Food Restaurants in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 15, 2025
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    IBISWorld (2025). Fast Food Restaurants in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/fast-food-restaurants-industry/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    While shifting consumer preferences and a crowded foodservice landscape, fast food restaurants have maintained a steady pace of growth. Over the five years to 2025, industry revenue has expanded at a CAGR of 3.9%, reaching $417.5 billion. Notably, 2025 alone will experience a 1.1% increase in revenue. The trend towards fast casual dining has bolstered the industry, helping fast food chains hold their ground amid fierce competition. As health awareness continues to rise, consumers demand healthier and alternative options to conventional fast food. To an extent, major chains have met this demand by introducing healthier menu selections. Other innovative measures included investments in meat substitutes and introducing various dietary preferences to attract a broader consumer base. However, the shift towards a healthier lifestyle has somewhat dampened demand for traditional fast food staples, leading to a decline in industry profit. Between 2022 and 2025, fast food restaurants have grappled with surging operational costs, including purchase, utility, rent and labor. The collective force of these cost increases has depressed industry profit, reaching 4.6% of revenue in 2025. Higher minimum wages, especially in California, have been detrimental to fast food restaurant's bottom lines, which subsequently boost technology adoption such as AI drive-thus. Over the next five years, the fast food industry is expected to maintain its growth trajectory, albeit slower. With fast casual restaurants on the rise and consumer spending expected to climb, further revenue growth for the fast food industry is expected. However, the environment is forecast to grow slowly for fast food chains, as many segments within the industry approach saturation. Despite these challenges, successful operations in the industry will likely pivot in response to changing consumer preferences. In this evolving scenario, the concept of fast food is likely to expand beyond its traditional confines to include a broader range of choices. However, intense competition within the industry will continue to put downward pressure on prices, and hence, revenue growth is expected to slow over the next five years. Projections indicate a CAGR of 1.3% over the next five years, bringing the industry revenue to $445.2 billion by 2030.

  12. b

    Fast Food Outlet Density per 1,000 Residents

    • data.baltimorecity.gov
    • hub.arcgis.com
    Updated Feb 26, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Fast Food Outlet Density per 1,000 Residents [Dataset]. https://data.baltimorecity.gov/maps/0ccf9a4ad780402da20afd796a59bd44
    Explore at:
    Dataset updated
    Feb 26, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    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

  13. Fast Food Market Size, Share & 2030 Growth Trends Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Sep 8, 2025
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    Mordor Intelligence (2025). Fast Food Market Size, Share & 2030 Growth Trends Report [Dataset]. https://www.mordorintelligence.com/industry-reports/fast-food-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    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).

  14. p

    Fast food restaurants Business Data for RE

    • poidata.io
    csv, json
    Updated Oct 4, 2025
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    Business Data Provider (2025). Fast food restaurants Business Data for RE [Dataset]. https://poidata.io/report/fast-food-restaurant/re
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    RE
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 553 verified Fast food restaurant businesses in RE with complete contact information, ratings, reviews, and location data.

  15. p

    Fast food restaurants Business Data for FO

    • poidata.io
    csv, json
    Updated Oct 1, 2025
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    Business Data Provider (2025). Fast food restaurants Business Data for FO [Dataset]. https://poidata.io/report/fast-food-restaurant/fo
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    FO
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

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

  16. i

    Fast Food Market Size, Share, Growth and Industry Report 2025-2033

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Oct 13, 2022
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    IMARC Group (2022). Fast Food Market Size, Share, Growth and Industry Report 2025-2033 [Dataset]. https://www.imarcgroup.com/fast-food-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 13, 2022
    Dataset authored and provided by
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    The global fast food market size reached USD 902.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 1,298.5 Billion by 2033, exhibiting a growth rate (CAGR) of 4.09% during 2025-2033. The increasing consumer preference for RTE food products, rising number of commercial establishments, and the growing adoption of fast food like frozen ready meals in the food service industry are some of the major factors propelling the market.

    Report Attribute
    Key Statistics
    Base Year
    2024
    Forecast Years
    2025-2033
    Historical Years
    2019-2024
    Market Size in 2024
    USD 902.1 Billion
    Market Forecast in 2033
    USD 1,298.5 Billion
    Market Growth Rate 2025-20334.09%

    IMARC Group provides an analysis of the key trends in each segment of the global fast food market report, along with forecasts at the global, regional and country levels from 2025-2033. Our report has categorized the market based on product type and end user.

  17. E

    United States Fast Food Market Growth Analysis - Forecast Trends and Outlook...

    • expertmarketresearch.com
    Updated May 15, 2022
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    Claight Corporation (Expert Market Research) (2022). United States Fast Food Market Growth Analysis - Forecast Trends and Outlook (2025-2034) [Dataset]. https://www.expertmarketresearch.com/reports/united-states-fast-food-market
    Explore at:
    pdf, excel, csv, pptAvailable download formats
    Dataset updated
    May 15, 2022
    Dataset authored and provided by
    Claight Corporation (Expert Market Research)
    License

    https://www.expertmarketresearch.com/privacy-policyhttps://www.expertmarketresearch.com/privacy-policy

    Time period covered
    2025 - 2034
    Area covered
    United States
    Variables measured
    CAGR, Forecast Market Value, Historical Market Value
    Measurement technique
    Secondary market research, data modeling, expert interviews
    Dataset funded by
    Claight Corporation (Expert Market Research)
    Description

    The United States fast food market reached USD 212.89 Billion in 2024. The market is expected to grow at a CAGR of 4.20% between 2025 and 2034, reaching USD 321.24 Billion by 2034.

  18. d

    Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes |...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 20, 2025
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    xavvy (2025). Restaurants, Fast Food, USA, Top 25 | 200k+ PoIs with 30+ Attributes | monthly updates | API & Datasets [Dataset]. https://datarade.ai/data-products/restaurants-fast-food-usa-top-25-200k-pois-with-30-att-xavvy
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    xavvy
    Area covered
    United States of America
    Description

    Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for restaurants and quick-service establishments in the United States.

    Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ... ^

    30+ Services • Delivery • Wifi • ChargePoints • …

    10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

    Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

    Brands included: • McDonalds • Burger King • Subway • KFC • Wendy's • ...

    The total number of restaurants per region, market share distribution among competitors, or the ideal location for new branches – our restaurant data provides valuable insights into the food service market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

    Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

    Integrate the most comprehensive database of restaurant locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

  19. p

    Fast food restaurants Business Data for Germany

    • poidata.io
    csv, json
    Updated Sep 9, 2025
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    Business Data Provider (2025). Fast food restaurants Business Data for Germany [Dataset]. https://www.poidata.io/report/fast-food-restaurant/germany
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Germany
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 22,131 verified Fast food restaurant businesses in Germany with complete contact information, ratings, reviews, and location data.

  20. E

    Fast Food Market Size and Share Outlook - Forecast Trends and Growth...

    • expertmarketresearch.com
    Updated Feb 24, 2025
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    Claight Corporation (Expert Market Research) (2025). Fast Food Market Size and Share Outlook - Forecast Trends and Growth Analysis Report (2025-2034) [Dataset]. https://www.expertmarketresearch.com/reports/fast-food-market
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    pdf, excel, csv, pptAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Claight Corporation (Expert Market Research)
    License

    https://www.expertmarketresearch.com/privacy-policyhttps://www.expertmarketresearch.com/privacy-policy

    Time period covered
    2025 - 2034
    Area covered
    Global
    Variables measured
    CAGR, Forecast Market Value, Historical Market Value
    Measurement technique
    Secondary market research, data modeling, expert interviews
    Dataset funded by
    Claight Corporation (Expert Market Research)
    Description

    The global fast food market size reached approximately USD 797.14 Billion in 2024. The market is projected to grow at a CAGR of 4.90% between 2025-2034, reaching a value of around USD 1286.14 Billion by 2034.

    The fast food sector is booming rapidly thanks to the changing of consumers' habits and behavior. The global market size is promising due to urbanisation and the desire for fast food. Yet, sustained competition is ongoing with market leaders, with the CAGR soaring up for fast food demand, who are continuing to invent new approaches in an effort to meet changing customer urges, and thus sustains the prosperity of the fast food market.

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Statista (2025). Most ordered types of fast food in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/1414293/most-ordered-fast-food-us/
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Most ordered types of fast food in the U.S. 2023

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Dataset updated
Jun 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The United States is known as the home of fast food. But in this competitive market, what kind of fast food do consumers order the most? During a 2023 survey,****** emerged as the most frequently ordered fast food in the U.S., with ** percent of respondents indicating it as their top choice. Comparatively, only **** percent of participants reported TexMex as their most ordered type of fast food.

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