Data source for location and competitive analyses
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Do you have any questions about the latest additions or would you like to find out more about the application of the data in your sector? Our team will be happy to help and advise you at any time.
Update 2026: 18 new brands with more than 700 points of sale, mostly in the retail/food sector. The database, which now includes well over half a million points of sale, spans 69 industries across nine categories: automotive, services, finance/insurance, food service, retail/consumer goods, food retail, hotels, telecommunications, and tourism.
Data Update 2026
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Data set: The database includes nearly 1,900 retail chains across 69 sectors, including industry giants such as EDEKA, H&M, Rossmann, and Shell. In total, the database currently contains 515,000 points of sale (PoS)—a comprehensive foundation for analyzing retail locations and high-traffic hotspots.
Range of industries – from Aldi to Zalando
Our database covers a wide range of industries, including:
- Retail: supermarkets, drugstores, DIY stores
- Services: Lottery offices, TÜV stations, fitness studios
- Petrol stations: ARAL, Shell and many more
- Special segments: parcel stores, outlets and shop-in-shop solutions
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Enhanced data quality: opening hours, categories such as "Outlet" or "General Sale" as well as precise geocoding (OSM, TomTom, Telekom, cadastral coordinates).
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Customizable format: The data is available in all common formats and can be seamlessly integrated into your systems.
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Competitive advantage through precision: No other database offers you comparable insights for location evaluation and competitive analysis.
Attention marketers and expansion teams:
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Site Planning & Marketing: Nexiga Topshops enable you to strategically plan new locations, assess sales potential early on, precisely manage marketing activities, and develop targeted campaigns.
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Efficient Competitive and Market Analysis: With Nexiga Topshops, you can better assess the competition and market environment and secure strategic advantages. Not only can you analyze store and market data, but you can also link it to key location metrics such as purchasing power, age demographics, land use data, and foot traffic.
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Regional and national insights: Whether you’re focusing on a local area or the whole of Germany, Nexiga Topshops let you accurately assess your target regions. Other countries are available upon request.
This diversity gives you a holistic perspective on the retail landscape - ideal for analyzing customer flows, competitive density or sales opportunities.
- With Nexiga Topshops, you lay the groundwork for successful location decisions and targeted marketing. It is the leading data solution for the retail market.
Topshop locations on the map
The sample map shows Topshops locations and their distribution in Wiesbaden and the Wiesbaden/Mainz area.
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Microanalysis (left side): Street-level overview with details on individual stores and industries.
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Macroanalysis (right side): Overview of clusters and metropolitan areas with a high density of shops.
You are still wondering - Why Nexiga Topshops?
The data is useful for:
- Location planning: Identification of hotspots for retail and service businesses.
- Competitive analysis: comparison of store density and sector distribution.
- Investment decisions: Planning new branches or business locations in attractive areas.
Nexiga can also link the address data for stores and shops with relevant location data, such as currentpurchasing power and the corresponding age distribution of customers. Meaningful information can also be provided regarding the regional development structure as well asfoot traffic and vehicle trafficat the POS (point of sale).
No other database provides such in-depth insights into the competitive landscape and local business environment!
20.05.2026
Jochen Wetzel has been part of the Nexiga team for more than 25 years and is one of the most experienced experts in site and regional planning as well as location intelligence. He advises companies across a wide range of industries on strategic issues related to site analysis, competitive analysis, and data-driven decision-making.
