Subsidiary growth and expansion mapping

Subsidiary growth and expansion mapping

Map every subsidiary with geography and opening dates, turning group structures into foresight and GTM signals.

Map every subsidiary with geography and opening dates, turning group structures into foresight and GTM signals.

Why this matters

Why this matters

Corporate expansion hides behind complex webs of subsidiaries and local branches. Aggregated views obscure when and where groups are truly investing. For consultants and foresight teams, this means missing structural market entry signals. For GTM leaders, it blocks targeting of local decision-making entities.

By using registry-backed subsidiaries with opening dates, geographies, and parent context, Starzdata delivers a subsidiary-by-subsidiary expansion map. This makes corporate footprints traceable, explainable, and actionable across both strategy and GTM workflows.

How Starzdata solves this

How Starzdata solves this

  • Match parent company via corporate registries

  • Extract each verified subsidiary with opening dates and country

  • Enrich with group-level structural growth score for benchmarking


This segment is activated with a blend of trusted sources and your own inputs

User Input

Curated APIs

Web intelligence

What you get:

What you get:

  • Canonicalized parent company names with HQ country

  • Verified subsidiaries with country, opening date, and type

  • Total subsidiary counts by parent group

  • Structural Growth Score reflecting expansion pace and footprint

  • Standardized dataset, ready for CRM, BI, and market analysis

Sample data for this segment

#parent company name input(input)parent company url input(input)parent company nameparent company name confidencehq countryhq country confidencesubsidiary namesubsidiary name confidencesubsidiary countrysubsidiary country confidencesubsidiary opening datesubsidiary opening date confidencesubsidiary typesubsidiary type confidencetotal subsidiaries counttotal subsidiaries count confidencestructural growth scorestructural growth score confidence
1MediNova AIhttps://www.medinova.aiMediNova AI Ltd95%UK97%MediNova France SAS93%FR96%2021-09-2091%Subsidiary100%5100%7888%
2MediNova AIhttps://www.medinova.aiMediNova AI Ltd95%UK97%MediNova GmbH94%DE95%2019-04-1590%Subsidiary100%5100%7888%
3NextGen Paymentshttps://www.nextgenpay.ioNextGen Payments Ltd96%US98%NextGen Canada Inc92%CA95%2019-06-1089%Subsidiary100%3100%8190%
4NextGen Paymentshttps://www.nextgenpay.ioNextGen Payments Ltd96%US98%NextGen UK Ltd91%UK95%2020-05-0188%Subsidiary100%3100%8190%
5DataForge Systemshttps://www.dataforge.ioDataForge Systems SA95%FR96%DataForge Iberia SL92%ES94%2019-06-0589%Subsidiary100%2100%8290%
Showing 1 to 5 of 5 entries • Click row for details

Each row represents a verified subsidiary mapped back to its parent company. Inputs include the parent’s name and website, which are resolved to canonical registry identities. Enriched fields capture the subsidiary’s legal name, country, opening date, and type (subsidiary, branch, joint venture). Group-level fields, such as total subsidiary count and the Structural Growth Score, quantify international expansion momentum. All data is confidence-scored to ensure reliability and auditability.

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Your questions on this segment, answered

Can we roll up subsidiary expansion by sector and geography to spot hotspots of investment activity?

Can we roll up subsidiary expansion by sector and geography to spot hotspots of investment activity?

Are the subsidiary data points fully traceable back to official registries for compliance and audit purposes?

Are the subsidiary data points fully traceable back to official registries for compliance and audit purposes?

How easily can this subsidiary-level view be integrated into CRM or BI systems for targeting and strategy alignment?

How easily can this subsidiary-level view be integrated into CRM or BI systems for targeting and strategy alignment?

Can this dataset highlight early expansion patterns that may signal new market entry or competitive threats?

Can this dataset highlight early expansion patterns that may signal new market entry or competitive threats?

How can the Structural Growth Score help us compare expansion momentum between different groups or sectors?

How can the Structural Growth Score help us compare expansion momentum between different groups or sectors?

How quickly after a subsidiary is created or registered can we detect and map it?

How quickly after a subsidiary is created or registered can we detect and map it?

How complete is the subsidiary coverage, especially in regions where registries are fragmented or less transparent?

How complete is the subsidiary coverage, especially in regions where registries are fragmented or less transparent?