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Tech-focused real estate survey inquiry: What technological methods is your real estate company employing to enhance investment returns?

European Research Arm, Funds Global Intelligence, Initiates a Study on the Technology Usage of Real Estate Investment Managers

Inquiry on real estate companies: What strategies are being employed with technology to enhance...
Inquiry on real estate companies: What strategies are being employed with technology to enhance returns on investments?

Tech-focused real estate survey inquiry: What technological methods is your real estate company employing to enhance investment returns?

Funds Europe's research arm, Funds Global Intelligence, has taken a significant step towards understanding the role of technology and data in the real estate investment management sector. The organisation has launched a survey to explore how real estate investment managers are leveraging technology and data to support their decisions, especially in the face of increasing market complexity and digitization throughout the investment lifecycle.

The survey, a short, 5-minute questionnaire, seeks insights on issues like data quality, data accessibility, and the types of technology currently being used. Responses and comments will remain anonymous, and personal details will not be collected or passed on. The survey is in partnership with Vistra Fund Solutions.

The research aims to provide a comprehensive overview of the use of technology and data in real estate investment management. Findings from the survey will be aggregated to present an overall picture of the industry's practices, helping to reveal trends in technology adoption and the ways technology improves decision-making and operational efficiency.

As the industry evolves, the use of technology and data is expected to become more integrated with artificial intelligence (AI), machine learning, and real-time data analytics. This evolution will enable more dynamic, data-driven investment decisions, enhanced risk management, and improved operational efficiencies. AI and related technologies are projected to transform key areas such as market analysis, property management, and investor communications by automating processes, improving data quality, and delivering predictive insights.

Funds Global Intelligence's approach is centred on gathering and analysing qualitative and quantitative data from practitioners to map out trends in technology adoption. By understanding the challenges and opportunities presented by technology, the organisation can help forecast evolving trends that increasingly embed AI and advanced analytics into investment processes, driving smarter, more responsive real estate portfolio management.

While Funds Global Intelligence focuses on the intelligence and survey side, related industry trends show that funds like Mubadala are also deploying AI in real estate through partnerships and investments in AI-driven platforms supporting development, sustainability, and operational efficiency. This represents a broader move toward combining property expertise with advanced data and AI.

The survey can be accessed at https://onepoll.questionpro.eu/REIMsurvey. The survey is still open for participants, so if you're an investment professional in the real estate sector, take this opportunity to share your insights and contribute to the advancement of the industry.

  1. Investment professionals in the real estate sector are encouraged to take part in a short, 5-minute survey conducted by Funds Global Intelligence in partnership with Vistra Fund Solutions, which explores how real estate investment managers are leveraging technology and data to support their decisions, especially in the face of increasing market complexity and digitization.
  2. To provide a comprehensive understanding of the role of technology and data in real estate investment management, the survey aims to present an overall picture of the industry's practices, reveal trends in technology adoption, and illustrate how technology improves decision-making and operational efficiency, leveraging advancements such as artificial intelligence (AI), machine learning, and real-time data analytics.

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