The global artificial intelligence (AI) in real estate market is anticipated to grow at a CAGR of 10.24% during the forecast period (2023-2030) AI-powered systems can be used to assist with property search and recommendation, valuation, customer support, lead generation, and predictive analytics. Property search and recommendation systems can analyze a buyer's preferences and budget to provide personalized property recommendations. Property valuation can be done using automated valuation models that take into account historical sales data, local market trends, property condition, and other factors. Chatbots and virtual assistants can provide 24/7 customer support and answer common questions. Lead generation can be done by analyzing online behavior, social media activity, and other data sources. Predictive analytics can be used to predict future real estate market trends, helping investors and agents make informed decisions. Furthermore, the market’s growth is attributed to efficiency and automation across the globe. AI systems, such as JAEME, can automate a variety of real estate operations, such as writing property descriptions, email campaigns, and business planning. The aforementioned technology has the potential to dramatically increase the efficiency of real estate brokers and companies. For instance, in October 2023,La Rosa Holdings Corp. launched its proprietary technology system – JAEME, part of My Agent Account. JAEME is a real estate artificial intelligence (“AI”) assistant created to support and inspire La Rosa’s agents with personalized content to drive marketing, efficiency, and sales. The companies agents are able to create property descriptions, email campaigns, business plans, video scripts, and newsletter campaigns with the help of JAEME.
Browse the full report description of “Artificial Intelligence (AI) In Real Estate Market Size, Share & Trends Analysis Report by Technology (Machine Learning, Natural Language Processing (NLP), and Computer Vision), by Applications (Chatbots and Virtual Assistants, Customer Behavior Analytics, Advanced Property Analysis, Customer Relationship Management (CRM), and Others), and by Enterprise Size (Large Enterprises, and Small And Mid-sized Enterprises (SMEs)), Forecast Period (2023-2030)” at https://www.omrglobal.com/industry-reports/ai-in-real-estate-market
Furthermore, Collaborations between research institutions and AI labs can result in the development of advanced AI technologies that can be utilized in the realm of real estate, thus improving the industry's capabilities. In October 2023,PGIM real estate arm launched AI research lab. partnered with University College London and other global institutions to develop new technologies.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Technology
o By Applications
o By Application
o By Enterprise Size
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- includes Avaamo, ComplyAdvantage, Kasisto, Inc., Kastle, Kukun, Inc., and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Artificial Intelligence (AI) In Real Estate Market Report Segment
By Technology
By Applications
By Deployment
By Enterprise Size
Global Artificial Intelligence (AI) In Real Estate Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
To learn more about this report request a sample copy @ https://www.omrglobal.com/request-sample/ai-in-real-estate-market