McDonald’s Restaurant Analytics 2025
                     McDonald’s Restaurant Analytics 2025 - 15K+ U.S. 
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into the realm of data-driven insights with TripAdvisor scraping.
Analyzing McDonald’s U.S. Locations 2025 allows businesses to benchmark 
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tinoenafil mtrestrincst esfficiently. Whether it’s understanding regional 
performance differences or monitoring competitor strategies, comprehensive 
analytics provides a clear picture of the fast-food landscape.
This blog dives deep into McDonald’s Restaurant Analytics, covering historical 
growth, state-wise distribution, location analysis, and future expansion trends, 
helping stakeholders make informed decisions in 2025 and beyond.
McDonald’s Store Count in 2025 – Historical and Projected Trends
The growth of McDonald’s in the United States has been remarkable, and 
tracking the McDonald’s store count in 2025 provides critical insights for 
businesses, franchisees, and market analysts. From 2020 to 2025, McDonald’s 
has consistently expanded, reflecting both strategic planning and adaptive 
mIanrktetr sotradteugicest. Iin 2020, there were approximately 14,200 U.S. locations. By I2nT0h2tris5, tohisd nuumcbteiro exnceeds 15,200 outlets, representing a total growth of 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
The steady growth indicates that McDonald’s is balancing expansion with 
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The historical and projected McDonald’s U.S. locations data also reveal the 
effectiveness of franchise models. Approximately 60% of McDonald’s outlets 
are franchise-owned, while the remaining 40% are corporate-owned. This 
distribution allows rapid growth while maintaining quality control through 
standardized operational guidelines. The franchise system also enables local 
adaptation, giving franchisees the flexibility to implement region-specific 
menu items or promotional strategies.
Using McDonald's data scraping services, analysts can track openings and 
closures in near real-time, providing valuable insights into market dynamics. 
For example, data from 2023 indicated a spike in new openings in Texas and 
FlIonridtar, ocodrreulactintgi with demographic growth in suburban regions. These Iinnsitghrtos adllouwc butsiionensses to anticipate trends and make informed decisions 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
McDonald’s Restaurant Dataset 2025 – Key Metrics and Insights
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niengfi actrsossn thtes U.S. With over 15,000 locations, the dataset captures 
metrics such as average monthly sales, employee numbers, franchise vs. 
corporate ownership, and regional distribution. Companies can use Restaurant 
Data Scraping to collect this information efficiently, providing near real-time 
access to store-level insights that would be challenging to obtain manually.
From 2020 to 2025, average sales per McDonald’s outlet increased steadily, 
reflecting improvements in menu offerings, digital ordering platforms, and 
delivery partnerships. For instance, the average monthly sales per outlet rose 
from $55,000 in 2020 to $65,000 in 2025, a growth rate of 18%. Franchise-
owned outlets slightly outperform corporate-owned locations in revenue 
generation due to localized marketing and community engagement strategies.
Metric 2020 2021 2022 2023 2024 2025
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article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
McDonald’s restaurant growth trends in 2025 also indicate targeted expansion 
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Integrating the McDonald’s Restaurant Dataset 2025 with consumer feedback, 
location intelligence, and competitive analysis provides a holistic view of 
performance. Businesses can benchmark against national averages, identify 
underperforming stores, and implement strategies to enhance customer 
satisfaction, drive traffic, and improve revenue across all U.S. locations.
Unlock powerful insights with McDonald’s Restaurant Dataset 2025 – optimize 
locations, boost revenue, and make data-driven growth decisions today!
McDonald’s Location Data for Site Selection
Strategic site selection is fundamental to the success of any McDonald’s 
ouItnlett.r Uotildiziungc MtciDonald’s Location Data for Site Selection, businesses can Ienvalturatoe deumocgtraipohnic trends, traffic patterns, competitor density, and 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
State New Openings 2020-2025 Total Locations
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RGeusiRtdaeeusrtanutrsant Data – A Detailed 
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BeFlonridefits 150 882
New York 90 800
Illinois 50 638
The McDonald’s location analysis across the United States shows that outlets 
near transportation hubs, schools, and commercial centers achieve higher 
footfall. Suburban locations near highways often perform well in drive-thru 
sales, while urban downtown outlets see higher dine-in traffic. This geographic 
intelligence enables McDonald’s to optimize each store’s format and 
operational focus.
Advanced analytics also support site selection for future expansion by 
combining historical performance data with projected demographic trends. 
Predictive models help franchisees identify regions likely to see increased 
coInnsutmreor dspuencditngi, urban migration, and population growth, reducing the Irinsk torf uondeurpcertfoiromning outlets.
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Amidst TripAdvisor's vast sea of information lies a treasure trove awaiting extraction, 
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Ratings & Reviews Analytics
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performRanecse taand:u  Orinafponrmetirn gaD tsatiroattaeng iac–  ld AeGc iDsuioiendst. aaBnyi lceleevde r aGgninudg i dRaetings & 
RReGBveieueswnitsd eaAenfiualtrysticns, tMscDonald’s can gain insights into customer satisfaction, 
operational efficiency, and menu preferences across its 15K+ U.S. locations in 
2025. Collecting, analyzing, and acting on this feedback ensures that each 
outlet maintains high service standards while identifying areas for 
improvement.
Between 2020 and 2025, customer ratings across U.S. McDonald’s locations 
averaged 4.2 stars out of 5, with slight regional variations. Urban locations 
tend to receive higher ratings for convenience and accessibility, while 
suburban stores score higher in service friendliness and consistency. Negative 
feedback often highlights wait times during peak hours, order accuracy issues, 
or menu availability concerns.
Common Positive Common Negative 
Region Avg. Customer Rating Feedback Feedback
InInttrroodduuccttioi n Quick service, clean West 4.3 outlets Limited menu variety
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tWeacenh awnlyiolsli lson, gaavyni.gd a Mitnene otahvnarowtiuvhgehi lp etr,he sese tnionttarretiicsoa ncr.i eFsco reo itfvh Zionosgem ianct ot hnSesc irtsaotpueernirs,tm  u,pn hcraosvispeeirtia nlfgiot yri,t soc rlc etarapanavbleiilnl isteieescst o tros r,  
oprhrdoavernirde eas sciycnougu r aTrwcipyitA hcd avrinisco hur, s deraetaal -tpimroev erse sistrategic business decisio tnhs.e sTeh m Terit
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thsicsr arepsinogu,r coeff.ering the most straightforward route to consistently obtaining data at scale. This 
article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
Moreover, analyzing ratings trends helps forecast McDonald’s restaurant 
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 oGpeuratiiodneal 
strengths.
Ratings & Reviews Analytics also helps McDonald’s respond proactively to 
market shifts. During seasonal promotions or new menu rollouts, sentiment 
monitoring can identify customer reactions in real-time, allowing rapid 
adjustments to staffing, inventory, or menu offerings. By connecting this 
analysis to McDonald’s Location Data, the brand ensures localized, actionable 
insights for each outlet, enhancing both customer experience and operational 
efficiency.
McDonald’s Expansion Across the U.S. in 2025
The McDonald’s Expansion Across the U.S. in 2025 reflects strategic planning 
informed by demographic trends, competitive analysis, and consumer 
IdneImntatrnrodo. dUdsuinucg cRtetitoiainler Intelligence Services, McDonald’s identifies areas for 
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process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
By leveraging McDonald’s Location Analysis Across the United States, the 
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Expansion strategies also consider consumer behavior and trends, such as 
increased demand for drive-thru efficiency, mobile ordering, and menu 
personalization. Integrating McDonald’s Restaurant Analytics with predictive 
modeling enables McDonald’s to forecast revenue potential and operational 
performance for new outlets before committing to real estate investments.
The combination of Retailer Intelligence Services and historical performance 
data allows McDonald’s to optimize its rollout schedule, ensuring consistent 
brand standards and profitability. Each new location is evaluated for 
accessibility, demographic alignment, and proximity to competitors, which 
minimizes risk and maximizes ROI.
Drive success with McDonald’s Expansion Across the U.S. in 2025 – identify 
growth markets, optimize site selection, and maximize revenue efficiently!
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article delves into the myriad benefits of scraping TripAdvisor, shedding light on how this 
process can be initiated, including exploring the initial steps involving API utilization. Dive 
into the realm of data-driven insights with TripAdvisor scraping.
State Number of Outlets Growth Rate 2020-2025
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Regional variations reveal opportunities for new store openings. The 
Northeast has a high density of outlets but slower growth due to saturation, 
whereas the South and Midwest are prime targets for expansion. Utilizing 
McDonald’s Location Data, decision-makers can pinpoint underserved cities, 
evaluate competitive presence, and anticipate revenue potential.
Historical growth analysis shows that between 2020 and 2025, California 
added 200+ locations, while Texas added 180. These states continue to 
demonstrate robust consumer demand and support McDonald’s expansion 
strategy. Suburban markets near major cities have become a primary focus, 
combining moderate competition with strong local demand.
IInInntettrroodductigrating uNcumtbieor nof McDonald’s Outlets Across the United States with 
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How Actowiz Solutions Can Help?
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SRcGBreaeupsinnitgde,a eRfiuatitrnsgsn &t Rseviews Analytics, and Retailer Intelligence Services, we 
help clients:
• Access accurate McDonald’s Restaurant Dataset 2025 for strategic 
decisions.
• Evaluate McDonald’s U.S. Locations 2025 for expansion and investment 
planning.
• Perform state-wise and regional location analysis for site optimization.
• Monitor customer sentiment to improve service and engagement.
Our solutions provide real-time, data-driven intelligence, enabling investors, 
franchisees, and market analysts to make informed decisions and capitalize on 
McDonald’s ongoing growth trends.
CIonnctlursoiodnI uMncDtornoald’su Rccttioiestaurannt Analytics 2025 reveals over 15,000 U.S. locations, 
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Tohisn blog will provide a comprehensive overview of datasets, including their definition, different types of datasets, and strategies for maximizing the value of data.
In the dynamic landscape of eCommerce, pricing strategy stands paramount, especially for 
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indfoartma,a toiffone.ring insights into the broader market's pricing landscape. Such price intelligence 
empowers retailers to craft a robust pricing strategy, bolstering sales, enhancing profit 
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We will navigate through the intricacies of Zomato Scraper, uncovering its capabilities to 
provide you with rich, real-time restaurant data. From scraping restaurant details to 
accessing customer reviews, our detailed guide ensures that you harness the full potential of 
this resource.