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GeoIp2\Model\City Object
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 country : United States
 city : Ashburn
US
Array
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    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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Report

Research Report - U.S. Fast Food & Restaurant Store Closures - Analyzing Economic Shifts and Changing Consumer Behavior

Explore U.S. Fast Food & Restaurant Store Closures with insights on economic shifts, consumer trends, and market data from 2020 to 2025.

Download Research Report

GeoIp2\Model\City Object
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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    [traits:protected] => GeoIp2\Record\Traits Object
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                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
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                            [iso_code] => VA
                            [names] => Array
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                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
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                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
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)

 country : United States
 city : Ashburn
US
Array
(
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    [asn] => AS14618
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
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Introduction

The U.S. Fast Food & Restaurant Store Closures from 2020 to 2025 present a compelling narrative of disruption, innovation, and transformation in the food service sector. Accelerated by the COVID-19 pandemic, closures surged across fast food and full-service restaurants, forcing the industry to reevaluate traditional business models. Through this report, we uncover how shifting consumer preferences, operational inefficiencies, and competitive pressures have influenced closures—and how businesses can proactively respond using Restaurant Data Intelligence and Location Intelligence.

Key Drivers Behind Store Closures

Kroger-Competitors-in-the-US

Before diving into the data, let’s examine the key forces behind the surge in U.S. Fast Food & Restaurant Store Closures:

1. Pandemic Disruption and Recovery Imbalance

The 2020 pandemic triggered mass shutdowns across the U.S. hospitality sector. While many fast-food chains quickly pivoted to delivery, dine-in restaurants struggled with limited capacity, workforce shortages, and delayed digital adoption.

2. Rising Operational Costs

Labor shortages, food inflation, and rent hikes forced thousands of outlets—especially small independents—to close. Many brands failed to meet the break-even threshold despite a return in consumer demand by 2023.

3. Changing Consumer Behavior

Customers now prioritize convenience, personalization, and digital-first experiences. The explosion of third-party delivery apps, ghost kitchens, and subscription meal services shifted the demand from dine-in to mobile-first platforms.

4. Market Consolidation & Saturation

Oversaturation in urban centers, combined with hyper-local competition, created thinning margins for mid-sized franchises. Brands with poor USA fast food location tracking and slow reaction to real-time market changes faced an uphill battle.

Nationwide Overview of U.S. Fast Food & Restaurant Store Closures (2020–2025)

Year Total Store Closures Fast Food Closures Full-Service Restaurant Closures
2020 18,500 9,300 9,200
2021 13,000 6,000 7,000
2022 10,700 4,800 5,900
2023 9,200 4,200 5,000
2024 8,000 3,500 4,500
2025 7,500 (est.) 3,000 (est.) 4,500 (est.)

Analysis:

The data reveals a consistent decline in closures year over year, signaling a post-pandemic stabilization. However, the lingering effects of inflation and consumer preference shifts continue to pressure traditional models. Insights from U.S. Fast Food & Restaurant Store Closures highlight the importance of agile, data-backed business strategies for survival and growth.

Regional Breakdown & Hotspots for Closures

Region 2020 Closures 2022 Closures 2025 Estimated Closures
California 3,200 1,900 1,500
New York 2,800 1,700 1,400
Texas 2,200 1,300 1,200
Illinois 1,500 900 850
Florida 1,600 1,000 900

Analysis:

States with dense urban centers and high operating costs saw the most closures. Scrape USA Store Location Data to pinpoint vulnerable regions and adapt expansion or exit strategies. Such insights are vital for brands monitoring U.S. restaurant outlet closure trends to preserve market presence strategically.

Fast Food Chain Closure Analytics – Brand Impact Assessment

Brand Stores Closed (2020–2025) % of Total Locations Closed
Subway 2,800 12%
Pizza Hut 1,900 10%
McDonald's 1,500 5%
Burger King 1,300 6%
Wendy's 900 4%

Analysis:

Brand-level data from Fast food chain closure analytics shows that legacy chains face pressure from rising franchise costs, changing diets, and delivery-first competition. Using Restaurant store closure insights using web scraping, QSR operators can refine risk mitigation strategies across locations in the U.S. market.

Consumer Behavior Shifts Driving Closures

Year % Online Ordering % Dine-In Traffic Decline Avg. Delivery Spend (USD)
2020 38% 70% 27.50
2021 45% 60% 29.30
2022 52% 48% 31.10
2023 58% 40% 32.80
2024 61% 35% 34.20
2025 63% (est.) 32% (est.) 35.70 (est.)

Analysis:

Digital transformation continues to outpace in-store experiences. The rising preference for online ordering directly affects in-store traffic, influencing the surge in U.S. Fast Food & Restaurant Store Closures. Businesses using USA fast food location tracking can align with delivery demand and optimize presence in high-traffic digital zones.

Opportunities via USA Restaurant Closure Data Scraping

Application Area Value Derived
Competitor exit tracking Identify newly vacated areas for expansion
Real estate footprint mapping Optimize for high-potential retail locations
Menu demand shift analysis Tailor offerings to suit regional preferences
Delivery zone adjustment Improve efficiency & customer reach

Analysis:

Brands using USA Restaurant closure data Scraping unlock access to prime retail locations, gain first-mover advantage, and respond quickly to competitor exits. Leveraging Store Location Data and fast food & restaurant chains Data empowers operators to reallocate resources for higher ROI across the U.S. food service landscape.

How Actowiz Solutions Adds Value?

Actowiz Solutions empowers businesses to decode complex market signals using advanced web scraping, real-time data APIs, and geo-intelligence tools. Our cutting-edge solutions help clients:

  • Scrape USA Store Location Data across QSR and fine dining sectors
  • Monitor U.S. restaurant outlet closure trends with real-time alerts
  • Extract granular insights using USA Restaurant closure data Scraping
  • Unlock expansion potential with vacant location mapping and Location Intelligence
  • Build predictive closure models with access to USA restaurant closure data 2025

Whether you're a delivery app, franchisor, food tech startup, or a chain looking to consolidate, Actowiz Solutions offers the data backbone to optimize decision-making, reduce market risk, and accelerate scalable growth. Our clients use these insights to not only understand fast food chain closure analytics but also to predict future hotspots and consumer trends—faster than the competition.

Conclusion

The rise and gradual stabilization of U.S. Fast Food & Restaurant Store Closures reveal the urgent need for real-time, location-based intelligence. With tools like Restaurant Data Intelligence, USA restaurant closure data 2025, and predictive scraping technologies, Actowiz Solutions equips brands with the power to anticipate change and act decisively.

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)

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Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

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Move Forward Predict demand, price shifts, and future opportunities across geographies.

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Travel & OTA
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Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

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“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

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Real Estate

Result

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Real-time RERA insights for 20+ states

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“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

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“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

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US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

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