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Utilizing artificial intelligence and machine learning to forecast property values, market trends, and investment returns with greater accuracy.
Employing distributed ledger technology to secure and streamline property records, ownership transfers, and smart contracts, reducing fraud and increasing transparency.
Creating highly realistic 3D models and interactive virtual experiences of properties, enabling remote viewing, planning, and detailed analysis.
The CFPB continues to refine regulations around digital mortgage disclosures, ensuring clarity and consumer protection in online real estate transactions.
This policy directly impacts real estate technology platforms by requiring them to adapt their digital processes to comply with evolving disclosure standards, potentially affecting user experience and data collection.
Various states are implementing and strengthening data privacy laws, granting consumers more control over their personal information collected by businesses.
These laws require real estate data analytics companies to implement robust data anonymization, consent, and deletion protocols, potentially restricting the scope of collectible data and increasing compliance costs.
Regulators are increasingly scrutinizing the use of AI in housing decisions to ensure algorithms do not perpetuate or create discriminatory outcomes, in line with the Fair Housing Act.
Companies utilizing AI for property recommendations or investment analysis must ensure their algorithms are free from bias and compliant with fair housing laws, potentially requiring significant auditing and transparency measures.
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