AI in the Real Estate Market - Forecasts from 2024 to 2029

AI in the Real Estate Market - Forecasts from 2024 to 2029

The AI in the real estate market is expected to grow at a CAGR of 11.52%, reaching a market size of US$754.899 million in 2029 from US$467.042 million in 2024.

AI in Real Estate means using technology and algorithms in activities like searching for a property, analyzing investments, managing properties, serving customers, and promoting the business. These help to enhance processes, ease decision-making, enhance service delivery, and exploit a property. The search and recommendation system, predictive analytics, and AVM systems are some of the components of AI in real estate. AI systems analyze large pools of real estate data and provide property recommendations to buyers, renters, and real estate investors.

AI systems use different machine learning algorithms to analyze tendencies in the real estate markets, price changes of properties, and potential rents to help investors maximize the use of their rentiers’ assets. AVMs use attributes of properties, information about the markets, and other deals that have occurred before to come up with the property value.

AI in the real estate market drivers
Increasing demand for personalization is contributing to AI in the real estate market growth

AI systems can conduct and analyze a lot of information, create personal property recommendations, give investment forecasts, and manage customers. Among the various solutions available on the market, Blackshark.ai Roof, an AI-powered brokerage assistant, can assist emerging enterprises in generating new real estate leads and analyzing customers more effectively for potential sales opportunities. This service aims to reach the right recipients at the right time through upselling and cross-selling strategies.

Both ordinary individuals and investors are driving technology integration in the real estate market. The main goal is to help real estate professionals provide a better experience for buyers, sellers, tenants, and investors through more targeted marketing.

AI in the real estate market geographical outlook
North America is witnessing exponential growth during the forecast period

North America, particularly Silicon Valley, is a hotbed of technical innovation, with major AI firms and startups such as HouseCanary, Zillow, Redfin, and Trulia pushing advances in AI technology for a variety of sectors, including real estate. The North American real estate organizations were among the first to use AI and machine learning technology to improve numerous parts of their operations, including property appraisal, predictive analytics, market analysis, client interaction, and property management. Overall, North America's technological strength and active real estate market make it a crucial participant in adopting and developing artificial intelligence in this industry.

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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI in the real estate market is segmented and analyzed as follows:

By End-Users

Owners
Developers
Engineers and Architects
Investors

By Deployment

Cloud
On-Premise

By Application

Marketing
Automated Valuation Models
Analysis
Personalized customer experience
Design and Planning
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
UK
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
India
South Korea
Indonesia
Taiwan
Others