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 country : United States

 city : Columbus

US

Array
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    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
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    [country_code] => US
)

Introduction

The quick-service restaurant (QSR) industry in Canada has seen dynamic growth from 2020 to 2025, driven by evolving consumer preferences, urban expansion, and digital ordering ecosystems. This research report dives into the Fast food chains Canada landscape, evaluating regional expansion, brand dominance, and consumer access across the country. Using advanced location intelligence, Actowiz Solutions presents critical insights into the footprint of major QSR brands and how they reflect broader trends in Canadian dining.

Expansion of Top Fast Food Chains Canada – A Detailed Analysis

Over the past five years, the expansion of Fast food chains Canada has reshaped the country’s dining landscape. From national favorites like Tim Hortons to global giants like McDonald's and Subway, quick-service restaurants (QSRs) have embraced location analytics, customer behavior insights, and diversified store formats to grow their footprint across Canada.

1. Strategic Use of Canadian Restaurant Location Data

The availability of Canadian restaurant location data has empowered brands to make strategic decisions based on population density, commuter patterns, and demographic trends. Urban centers like Toronto, Vancouver, and Montreal continue to lead in outlet concentration. Suburban and tier-2 cities, however, are experiencing faster growth due to increased demand for convenience and delivery-based dining.

Analysis: Geolocation insights have become a critical factor in expansion planning and help brands identify underpenetrated high-potential markets.

2. Analyzing Tim Hortons Locations

When analyzing Tim Hortons locations, the brand remains the most extensive in Canada. Its strategy emphasizes suburban and rural growth, strengthening community ties and expanding drive-thru accessibility. In newer formats, Tim Hortons has tested smaller footprint stores and co-locations with gas stations.

Analysis: The brand leverages cultural resonance and ubiquity to maintain dominance while subtly modernizing its store experience.

3. McDonald's Canada Location Insights

McDonald's Canada location insights highlight its aggressive urban push. With new stores in high-traffic zones, investment in digital ordering, and self-service kiosks, McDonald's has aligned itself with urban professionals and younger audiences.

Analysis: The brand’s focus on digital-first formats increases throughput, enhances convenience, and positions it as a tech-forward QSR leader.

4. Subway Store Distribution Canada

Subway store distribution Canada reveals strong performance in mixed-use and high-footfall areas. Subway’s modular, franchise-ready format supports growth in both large cities and remote areas, including inside grocery stores and transportation hubs.

Analysis: Its flexibility and low entry cost allow wide scalability across diverse geographies, helping maintain brand presence even in niche markets.

5. KFC Canada Location Mapping

KFC Canada location mapping demonstrates a shift to delivery-first models and modernization. The rise of ghost kitchens and retrofitted drive-thrus shows how KFC is meeting evolving consumer expectations post-pandemic.

Analysis: KFC’s ability to adapt its real estate strategy ensures continued relevance amid shifts in dining behavior and logistics.

6. Fast Food Market Analysis Canada

The fast food market analysis Canada from 2020 to 2025 reflects steady growth in market value and average spend per visit. Innovations in health, sustainability, and pricing customization are key contributors.

Analysis: Market data suggests that QSRs offering personalization and value see stronger loyalty and repeat visits.

7. Quick-Service Restaurant Location Trends

Quick-service restaurant location trends indicate an uptick in urban-based, small-format, and tech-enabled outlets. Brands are investing in express locations and prioritizing delivery over dine-in.

Analysis: These trends mirror consumer preference for speed, access, and digital convenience in daily meals.

8. Restaurant Expansion Analysis Canada

The restaurant expansion analysis Canada shows increased activity from both established chains and new market entrants. This saturation pushes innovation in product offerings, delivery models, and loyalty programs.

Analysis: The competitive environment is accelerating transformation in how QSRs serve different demographic and geographic segments.

9. Location Intelligence for Canadian QSR Chains

Location intelligence for Canadian QSR chains is now indispensable. From performance benchmarking to franchise zoning and ad targeting, data drives all key decisions.

Analysis: Brands using predictive models and real-time data stand out in customer experience and expansion efficiency.

The expansion story of Fast food chains Canada is one of data-driven growth. By tapping into accurate location insights, brands can navigate market saturation, tailor offerings to local preferences, and create sustainable, profitable expansion strategies across Canada.

Canadian Restaurant Location Data Overview

Year	Total QSR Outlets	Major Brands Tracked
2020	25,400	10
2021	26,800	12
2022	28,500	12
2023	29,900	15
2024	31,700	15
2025	33,100	17

Analysis: The rise in tracked outlets underscores the increasing complexity of Canadian restaurant location data. As the market becomes more saturated, granular geolocation data is crucial for competitive differentiation and territory analysis.

Analyzing Tim Hortons Locations

Year	Total Locations	% Growth YoY
2020	4,300	-
2021	4,450	3.5%
2022	4,650	4.5%
2023	4,820	3.6%
2024	5,050	4.7%
2025	5,220	3.4%

Analysis: Analyzing Tim Hortons locations shows consistent and stable growth, indicating market maturity. Their widespread presence in rural and suburban regions signals their strategy to deepen market penetration rather than focus solely on urban expansion.

McDonald’s Canada Location Insights

Year	McDonald's Stores	Urban %	Suburban %
2020	1,470	62%	38%
2021	1,520	63%	37%
2022	1,580	64%	36%
2023	1,620	65%	35%
2024	1,670	66%	34%
2025	1,710	67%	33%

Analysis: McDonald's Canada location insights reveal a strategic shift toward urban hubs. Their expansion pattern favors walk-in and delivery-focused stores within dense cities, aligning with younger demographics and mobile ordering behavior.

Subway Store Distribution Canada

Year	Subway Outlets	Western Canada	Central Canada	Atlantic Canada
2020	3,100	880	1,550	670
2021	3,250	920	1,620	710
2022	3,420	980	1,700	740
2023	3,580	1,010	1,780	790
2024	3,700	1,050	1,830	820
2025	3,860	1,100	1,900	860

Analysis: Subway store distribution Canada reveals balanced national growth. With a strong foothold in Central Canada, Subway continues to expand in Western and Atlantic regions, focusing on convenience locations like gas stations and universities.

KFC Canada Location Mapping

Year	Total KFC Stores	Drive-Thru %	Delivery-Only Hubs
2020	650	48%	12
2021	670	49%	18
2022	700	51%	25
2023	730	53%	35
2024	765	54%	45
2025	790	55%	60

Analysis: KFC Canada location mapping highlights their push into delivery and ghost kitchens. The increasing number of delivery-only hubs indicates a pivot to convenience-first strategies post-COVID, focusing on logistics and low-overhead expansions.

Location Intelligence for Canadian QSR Chains

Advanced location intelligence for Canadian QSR chains enables real-time market targeting, optimized franchise territory planning, and performance benchmarking. With access to geospatial analytics, brands can evaluate saturation, identify competitive clusters, and deploy location-based promotions effectively.

Analysis: Integrated location data is now a competitive advantage in the expansion lifecycle of fast food chains Canada, fueling smarter rollout and agile market responses.

Fast Food Market Analysis Canada

Year	QSR Market Value (CAD Bn)	Avg Spend Per Visit (CAD)
2020	29.5	9.1
2021	31.2	9.4
2022	33.8	9.7
2023	36.5	10.1
2024	39.0	10.6
2025	41.3	11.2

Analysis: The fast food market analysis Canada data shows a steady rise in spending and value, with consumers favoring affordable, quick dining options. Higher per-visit spends suggest premiumization of QSR offerings and greater customization.

Quick-Service Restaurant Location Trends

Year	New Urban Locations	New Suburban Locations	Ghost Kitchens
2020	210	130	15
2021	250	160	22
2022	290	180	30
2023	320	210	40
2024	360	240	50
2025	400	270	65

Analysis: Quick-service restaurant location trends reflect a continued shift toward urban convenience and ghost kitchens. The trend is strongly tied to digital ordering and third-party delivery services.

Restaurant Expansion Analysis Canada

Year	Total New QSR Chains	Regional Expansions
2020	12	18
2021	15	22
2022	18	27
2023	20	31
2024	23	35
2025	25	39

Analysis: The data on restaurant expansion analysis Canada confirms a healthy and growing competitive landscape. Franchises and new entrants continue targeting untapped secondary cities and suburban corridors.

Conclusion

From growth in suburban regions to the rise of delivery-only kitchens, the fast food chains Canada ecosystem is evolving fast. Brands that harness location data effectively can unlock new markets, reduce cannibalization, and refine their omnichannel approach.

Want hyper-local insights into QSR expansion? Contact Actowiz Solutions for end-to-end location intelligence and data scraping services tailored to Canadian foodservice growth.

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                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

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

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

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

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“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

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“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

★★★★★

“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

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

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

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

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

✔ Scraped Data, SKU availability, delivery time

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"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

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Real-Time Booking.com Hotel Room Pricing Data Scraping for Optimized Hotel Room Pricing in the USA

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Scrape Zillow and Rightmove Property Data Insights for Predictive Analytics

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Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

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Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

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Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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