▶ RSQUARE integrates data of 2.5 million companies into RA, linking financial, corporate registration, and public disclosure information
▶ Combines corporate relocation/growth tracking with property data to support market analysis and investment decision-making
▶ Scheduled to add retail revenue-based commercial district analysis and AI-driven Automated Valuation Model (AVM) functions in H2 this year
Until now, commercial real estate investors and asset management firms had to separately collect and cross-reference demand-side metrics—such as corporate relocations, revenue growth, and industry sector distributions—apart from real estate market prices, vacancy rates, and transaction histories.
To resolve this inconvenience, RSQUARE (CEO: Lee Yong-gyun), a comprehensive commercial real estate service firm, announced on the 25th that it has newly introduced a 'Corporate' analysis menu to its data solution platform, RA (RSQUARE Analytics).
This new feature delivers the financial profiles, corporate registration records, and public disclosure information of approximately 2.5 million companies by integrating them with existing real estate asset data. The real estate data encompasses rental rates, vacancy rates, transaction cases, tenant compositions, and registry details.
RA is a specialized commercial real estate data solution focused on offices and logistics centers. It allows users to comprehensively look up building and land details, lease market prices, vacancy rates, tenant layouts, transaction histories, and registry information on an individual building level. It also provides comparative analysis for similar buildings, submarket statistics, and trend analysis for leasing, demand, transaction, and supply dynamics.
Through the newly implemented 'Corporate' menu, users can select a specific geographical region on a map to grasp corporate distribution, industry composition, revenue scale, growth rates, employee count changes, and corporate headquarters relocation statuses at a single glance.
By allowing the growth and relocation flows of companies to be analyzed alongside real estate statistics, users can more concretely read market shifts, such as changing office demands by business district or locational movements by industry sector. Within individual company profiles, users can comprehensively query financial data, corporate registrations, and public disclosures, which are seamlessly linked to building occupancy data personally surveyed by RSQUARE.
RSQUARE plans to continuously expand the data scope of RA. Its strategy is to evolve into a data platform that encompasses the entire commercial real estate sector by adding retail revenue-based commercial district analysis features and an AI-driven Automated Valuation Model (AVM) during the second half of this year.
Backed by these robust data capabilities, RA is experiencing a rapid expansion in adoption, primarily centering around financial firms, asset management companies, and institutional investors. The firm has successfully signed adoption contracts with major domestic financial and investment institutions, including Samsung Securities, IGIS Asset Management, Koramco Asset Management, Hyundai Commercial, and the Nara Appraisal Board. It has also secured global investment powerhouses such as GIC (Singapore's sovereign wealth fund), DWS (Germany), and PAG as clients. Currently, more than 50 institutions are actively utilizing RA, and the cumulative number of corporate clients has surpassed 150.
"The growth and relocation of companies represent core data directly linked to office space demand," said Dae-gwang Park, Head of the RA Planning Team. "By blending corporate metrics with real estate data, RA stands as Korea's only commercial real estate data platform capable of supporting everything from market analysis to investment decision-making."
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▶ RSQUARE integrates data of 2.5 million companies into RA, linking financial, corporate registration, and public disclosure information
▶ Combines corporate relocation/growth tracking with property data to support market analysis and investment decision-making
▶ Scheduled to add retail revenue-based commercial district analysis and AI-driven Automated Valuation Model (AVM) functions in H2 this year
Until now, commercial real estate investors and asset management firms had to separately collect and cross-reference demand-side metrics—such as corporate relocations, revenue growth, and industry sector distributions—apart from real estate market prices, vacancy rates, and transaction histories.
To resolve this inconvenience, RSQUARE (CEO: Lee Yong-gyun), a comprehensive commercial real estate service firm, announced on the 25th that it has newly introduced a 'Corporate' analysis menu to its data solution platform, RA (RSQUARE Analytics).
This new feature delivers the financial profiles, corporate registration records, and public disclosure information of approximately 2.5 million companies by integrating them with existing real estate asset data. The real estate data encompasses rental rates, vacancy rates, transaction cases, tenant compositions, and registry details.
RA is a specialized commercial real estate data solution focused on offices and logistics centers. It allows users to comprehensively look up building and land details, lease market prices, vacancy rates, tenant layouts, transaction histories, and registry information on an individual building level. It also provides comparative analysis for similar buildings, submarket statistics, and trend analysis for leasing, demand, transaction, and supply dynamics.
Through the newly implemented 'Corporate' menu, users can select a specific geographical region on a map to grasp corporate distribution, industry composition, revenue scale, growth rates, employee count changes, and corporate headquarters relocation statuses at a single glance.
By allowing the growth and relocation flows of companies to be analyzed alongside real estate statistics, users can more concretely read market shifts, such as changing office demands by business district or locational movements by industry sector. Within individual company profiles, users can comprehensively query financial data, corporate registrations, and public disclosures, which are seamlessly linked to building occupancy data personally surveyed by RSQUARE.
RSQUARE plans to continuously expand the data scope of RA. Its strategy is to evolve into a data platform that encompasses the entire commercial real estate sector by adding retail revenue-based commercial district analysis features and an AI-driven Automated Valuation Model (AVM) during the second half of this year.
Backed by these robust data capabilities, RA is experiencing a rapid expansion in adoption, primarily centering around financial firms, asset management companies, and institutional investors. The firm has successfully signed adoption contracts with major domestic financial and investment institutions, including Samsung Securities, IGIS Asset Management, Koramco Asset Management, Hyundai Commercial, and the Nara Appraisal Board. It has also secured global investment powerhouses such as GIC (Singapore's sovereign wealth fund), DWS (Germany), and PAG as clients. Currently, more than 50 institutions are actively utilizing RA, and the cumulative number of corporate clients has surpassed 150.
"The growth and relocation of companies represent core data directly linked to office space demand," said Dae-gwang Park, Head of the RA Planning Team. "By blending corporate metrics with real estate data, RA stands as Korea's only commercial real estate data platform capable of supporting everything from market analysis to investment decision-making."