Report Overview
Generative AI in real estate leverages machine learning models to automatically generate property descriptions, predict market trends, design architectural layouts, and enhance customer personalization in property listings, improving operational efficiency and decision-making for developers, brokers, and investors.A market research report provides businesses with crucial insights into a specific industry, product, or market. The report typically begins with an executive summary, offering a concise overview of key findings and strategic recommendations. It then delves into the market overview, analysing the current size, growth trends, and key drivers that influence market dynamics. Segmentation is another critical aspect, breaking down the market by product type, end-users, and geographic regions to offer a more focused analysis.
Generative AI in Real Estate Market Size in (USD Billion) CAGR Growth Rate 35.00%
| Study Period | 2020-2032 |
| Market Size (2024): | 1.5Billion |
| Market Size (2032): | 8Billion |
| CAGR (2024 - 2032): | 35.00% |
| Fastest Growing Region | Europe |
| Dominating Region | North America |
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The Generative AI in Real Estate market is experiencing robust growth, projected to achieve a compound annual growth rate CAGR of 35.00% during the forecast period. Valued at 1.5Billion, the market is expected to reach 8Billion by 2032, with a year-on-year growth rate of 38.00%.
The competitive landscape section outlines the key players, their strategies, market share, and a SWOT analysis, which aids businesses in understanding the competition and identifying opportunities for differentiation. Additionally, the report includes forecasts and emerging trends, providing data-driven projections that help businesses anticipate future market shifts. Finally, the report concludes with actionable recommendations, helping organizations make informed decisions and align strategies with market opportunities.
Generative AI in Real Estate Market Dynamics
Influencing Trend:
The Generative AI in Real Estate market is expanding due to:
- Virtual Staging Tools
- AI-Based Floor Plan Generation
- Chatbots For Buyer Engagement
- Predictive Market Analytics
Market Growth Drivers:
The report is able to determine and examine the elements propelling the Generative AI in Real Estate market's expansion.
- Demand For AI-Generated Virtual Tours
- Need For Property Design Optimization
- Automated Valuations
- Rise In PropTech Innovation
Challenges:
The research highlight the challenges faced by the industry, including
- Regulatory Compliance In Valuation
- Data Privacy Issues
- Market Skepticism
- Integration With Existing Systems
Opportunities:
The research concludes with suggestions for investors, legislators, and industry participants. It draws attention to prospective opportunities.
- Real Estate Marketing Agencies
- Customizable AI Tools For Agents
- Virtual Renovation Services
- PropTech Startups
Q&A in Our Report
A market research report addresses several key questions that are essential for strategic business planning. It first examines the market size and growth potential, helping businesses understand current opportunities and future expansion possibilities. It also explores the key drivers and challenges influencing the market, providing insight into factors that stimulate demand or create barriers to entry. Additionally, the report analyzes leading competitors and their strategies, giving businesses a clearer picture of the competitive landscape and potential areas for differentiation. By identifying major market trends, the report helps companies stay ahead of industry shifts and innovate accordingly. It also delves into key market segments, offering a more focused analysis based on product type, geography, or customer demographics. Lastly, the report provides future growth forecasts, enabling businesses to make informed long-term strategic decisions and investment plans based on predictive market analysis.Get Sample PDF Including (Statistical Data, Charts & Key Players)
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Key Highlights
• The Generative AI in Real Estate is growing at a CAGR of 35.00% during the forecasted period of 2024 to {FORECAT_YEAR}• Year on Year growth for the market is 38.00%
• North America dominated the market share of 1.5Billion in 2024
• Based on type, the market is bifurcated into SaaS,Platform,API,Custom segment, which dominated the market share during the forecasted period
Market Segmentation
The market is segmented by Type and Application, offering a comprehensive understanding of how different product categories and end-use cases contribute to the overall market landscape. This segmentation helps businesses pinpoint specific areas of opportunity and tailor their strategies accordingly.
Segmentation by Type
- SaaS
- Platform
- API
- Custom
Generative AI in Real Estate Market Segmentation by Type
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Segmentation by Application
- Property listings
- Virtual tours
- Market analysis
- Customer engagement
- Content creation
Generative AI in Real Estate Market Segmentation by Application
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This report also analyzes the market by region, providing insights into geographical differences in market performance.
Regions
- North America
- LATAM
- West Europe
- Central & Eastern Europe
- Northern Europe
- Southern Europe
- East Asia
- Southeast Asia
- South Asia
- Central Asia
- Oceania
- MEA
Fastest Growing Region
Europe
Dominating Region
North America
Key Players
The companies profiled were selected based on insights from industry experts and a thorough evaluation of their market influence, product range, and geographical presence. Companies are increasingly focused on expanding their market share through strategic initiatives such as mergers, acquisitions, and green investments, particularly in underserved regions. These strategies are helping companies capture a larger market share while fostering sustainable development. By consolidating resources and widening their geographical reach, these companies not only enhance their competitive position but also align with global trends in sustainability and corporate responsibility.- JLL (USA)
- Archistar (Australia)
- Matterport (USA)
- LeewayHertz (USA)
- Markovate (USA)
- Reonomy (USA)
- Zillow AI (USA)
- Compass (USA)
- Hyro (USA)
- DreamStaging AI (USA)
- InteriorAI (USA)
- OpenAI (USA)
- Doxel (USA)
- Hyro (USA)
Generative AI in Real Estate Market Segmentation by Players
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Regional Outlook
Factors driving this growth include technological advancements, growing consumer demand, and globalization. Businesses looking to capitalize on these trends should focus on product innovation, digital marketing, and market expansion to enhance revenue and market reach.The Europe is expected to witness the fastest growth due to its rising population and expanding economic activities across key sectors. Urbanization, infrastructure development, and supportive government policies are fueling this growth, supported by a young and dynamic workforce. Meanwhile, North America remains a leader, driven by well-established industries, technological innovation, and strong global influence.
• North America leads in technology, healthcare, and aerospace, with a focus on renewable energy and electric vehicles as part of its decarbonization efforts.
• Europe excels in automotive, renewable energy, and luxury goods, with investments in green hydrogen, offshore wind, and digital transformation.
• Asia-Pacific is dominant in manufacturing, semiconductors, and fintech, while investing heavily in 5G, AI, and smart city projects alongside renewable energy expansion.
• Latin America thrives in agriculture, commodities, and mining, focusing on infrastructure and the digital economy to drive growth.
• The Middle East and Africa remain centered on oil and gas but are increasingly diversifying into renewable energy and digital sectors, with Africa also seeing investments in healthcare and education.
tag
Report Infographics
|
Report Features |
Details |
|
Base Year |
2024 |
|
Based Year Market Size (2024) |
1.5Billion |
|
Historical Period |
2020 to 2024 |
|
CAGR (2024 to 2032) |
35.00% |
|
Forecast Period |
2024 to 2032 |
|
Forecasted Period Market Size (2032) |
2032 |
|
Scope of the Report |
SaaS,Platform,API,Custom, Property listings,Virtual tours,Market analysis,Customer engagement,Content creation |
|
Regions Covered |
North America, LATAM, West Europe,Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA |
|
Companies Covered |
JLL (USA),Archistar (Australia),Matterport (USA),LeewayHertz (USA),Markovate (USA),Reonomy (USA),Zillow AI (USA),Compass (USA),Hyro (USA),DreamStaging AI (USA),InteriorAI (USA),OpenAI (USA),Doxel (USA),Hyro (USA) |
|
Customization Scope |
15% Free Customization (For EG) |
|
Delivery Format |
PDF and Excel through Email |
Regulatory Framework of Market Research Reports
The regulatory framework governing market research reports ensures transparency, accuracy, and ethical conduct in data collection and reporting. Compliance with relevant legal and industry standards is critical to maintaining credibility and avoiding penalties.
- Data Privacy and Protection: Regulations such as the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) in the US mandate strict guidelines for handling personal data. Market research firms must ensure that all data collection methods comply with privacy laws, including obtaining consent and ensuring data security.
- Fair Competition: Regulatory bodies such as the Federal Trade Commission (FTC) in the US and the Competition and Markets Authority (CMA) in the UK enforce fair competition practices. Research reports must avoid biased or misleading information that could distort competition or consumer choice.
- Intellectual Property: Compliance with copyright laws ensures that the content used in market research reports, such as proprietary data or third-party insights, is legally sourced and cited to avoid infringement.
- Ethical Standards: Industry organizations, like the Market Research Society (MRS) and the American Association for Public Opinion Research (AAPOR), set ethical guidelines that dictate transparent, responsible research practices, ensuring that respondents’ rights are respected and findings are presented without manipulation.
Generative AI in Real Estate - Table of Contents
Chapter 1: Market Preface
- 1.1 Global Generative AI in Real Estate Market Landscape
- 1.2 Scope of the Study
- 1.3 Relevant Findings & Stakeholder Advantages
Chapter 2: Strategic Overview
- 2.1 Global Generative AI in Real Estate Market Outlook
- 2.2 Total Addressable Market versus Serviceable Market
- 2.3 Market Rivalry Projection
Chapter 3 : Global Generative AI in Real Estate Market Business Environment & Changing Dynamics
-
3.1 Growth Drivers
- 3.1.1 Demand For AI-Generated Virtual Tours
- 3.1.2 Need For Property Design Optimization
- 3.1.3 Automated Valuations
- 3.1.4 Rise In PropTech Innovation
-
3.2 Available Opportunities
- 3.2.1 Real Estate Marketing Agencies
- 3.2.2 Customizable AI Tools For Agents
- 3.2.3 Virtual Renovation Services
- 3.2.4 Prop
-
3.3 Influencing Trends
- 3.3.1 Virtual Staging Tools
- 3.3.2 AI-Based Floor Plan Generation
- 3.3.3 Chatbots For Buyer Engagement
- 3.3.4 Predictive Ma
-
3.4 Challenges
- 3.4.1 Regulatory Compliance In Valuation
- 3.4.2 Data Privacy Issues
- 3.4.3 Market Skepticism
- 3.4.4 Integration With Existi
- 3.5 Regional Dynamics
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Chapter 4 : Global Generative AI in Real Estate Industry Factors Assessment
- 4.1 Current Scenario
- 4.2 PEST Analysis
- 4.3 Business Environment - PORTER 5-Forces Analysis
- 4.3.1 Supplier Leverage
- 4.3.2 Bargaining Power of Buyers
- 4.3.3 Threat of Substitutes
- 4.3.4 Threat from New Entrant
- 4.3.5 Market Competition Level
- 4.4 Roadmap of Generative AI in Real Estate Market
- 4.5 Impact of Macro-Economic Factors
- 4.6 Market Entry Strategies
- 4.7 Political and Regulatory Landscape
- 4.8 Supply Chain Analysis
- 4.9 Impact of Tariff War
Chapter 5: Generative AI in Real Estate : Competition Benchmarking & Performance Evaluation
- 5.1 Global Generative AI in Real Estate Market Concentration Ratio
- 5.1.1 CR4, CR8 and HH Index
- 5.1.2 % Market Share - Top 3
- 5.1.3 Market Holding by Top 5
- 5.2 Market Position of Manufacturers by Generative AI in Real Estate Revenue 2024
- 5.3 BCG Matrix
- 5.3 Market Entropy
- 5.4 FPNV Positioning Matrix
- 5.5 Heat Map Analysis
Chapter 6: Global Generative AI in Real Estate Market: Company Profiles
- 6.1 JLL (USA)
- 6.1.1 JLL (USA) Company Overview
- 6.1.2 JLL (USA) Product/Service Portfolio & Specifications
- 6.1.3 JLL (USA) Key Financial Metrics
- 6.1.4 JLL (USA) SWOT Analysis
- 6.1.5 JLL (USA) Development Activities
- 6.2 Archistar (Australia)
- 6.3 Matterport (USA)
- 6.4 LeewayHertz (USA)
- 6.5 Markovate (USA)
- 6.6 Reonomy (USA)
- 6.7 Zillow AI (USA)
- 6.8 Compass (USA)
- 6.9 Hyro (USA)
- 6.10 DreamStaging AI (USA)
- 6.11 InteriorAI (USA)
- 6.12 OpenAI (USA)
- 6.13 Doxel (USA)
- 6.14 Hyro (USA)
- 6.15 Homestyler AI (China)
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Chapter 7 : Global Generative AI in Real Estate by Type & Application (2020-2032)
-
7.1 Global Generative AI in Real Estate Market Revenue Analysis (USD Million) by Type (2020-2024)
- 7.1.1 SaaS
- 7.1.2 Platform
- 7.1.3 API
- 7.1.4 Custom
- 7.1.5 On-Premise
-
7.2 Global Generative AI in Real Estate Market Revenue Analysis (USD Million) by Application (2020-2024)
- 7.2.1 Property Listings
- 7.2.2 Virtual Tours
- 7.2.3 Market Analysis
- 7.2.4 Customer Engagement
- 7.2.5 Content Creation
- 7.3 Global Generative AI in Real Estate Market Revenue Analysis (USD Million) by Type (2024-2032)
- 7.4 Global Generative AI in Real Estate Market Revenue Analysis (USD Million) by Application (2024-2032)
Chapter 8 : North America Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 8.1 North America Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 8.1.1 United States
- 8.1.2 Canada
-
8.2 North America Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 8.2.1 SaaS
- 8.2.2 Platform
- 8.2.3 API
- 8.2.4 Custom
- 8.2.5 On-Premise
-
8.3 North America Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 8.3.1 Property Listings
- 8.3.2 Virtual Tours
- 8.3.3 Market Analysis
- 8.3.4 Customer Engagement
- 8.3.5 Content Creation
- 8.4 North America Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 8.5 North America Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 8.6 North America Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
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Chapter 9 : LATAM Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 9.1 LATAM Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 9.1.1 Brazil
- 9.1.2 Argentina
- 9.1.3 Chile
- 9.1.4 Mexico
- 9.1.5 Rest of LATAM
-
9.2 LATAM Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 9.2.1 SaaS
- 9.2.2 Platform
- 9.2.3 API
- 9.2.4 Custom
- 9.2.5 On-Premise
-
9.3 LATAM Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 9.3.1 Property Listings
- 9.3.2 Virtual Tours
- 9.3.3 Market Analysis
- 9.3.4 Customer Engagement
- 9.3.5 Content Creation
- 9.4 LATAM Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 9.5 LATAM Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 9.6 LATAM Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 10 : West Europe Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 10.1 West Europe Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 10.1.1 Germany
- 10.1.2 France
- 10.1.3 Benelux
- 10.1.4 Switzerland
- 10.1.5 Rest of West Europe
-
10.2 West Europe Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 10.2.1 SaaS
- 10.2.2 Platform
- 10.2.3 API
- 10.2.4 Custom
- 10.2.5 On-Premise
-
10.3 West Europe Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 10.3.1 Property Listings
- 10.3.2 Virtual Tours
- 10.3.3 Market Analysis
- 10.3.4 Customer Engagement
- 10.3.5 Content Creation
- 10.4 West Europe Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 10.5 West Europe Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 10.6 West Europe Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 11 : Central & Eastern Europe Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 11.1 Central & Eastern Europe Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 11.1.1 Bulgaria
- 11.1.2 Poland
- 11.1.3 Hungary
- 11.1.4 Romania
- 11.1.5 Rest of CEE
-
11.2 Central & Eastern Europe Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 11.2.1 SaaS
- 11.2.2 Platform
- 11.2.3 API
- 11.2.4 Custom
- 11.2.5 On-Premise
-
11.3 Central & Eastern Europe Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 11.3.1 Property Listings
- 11.3.2 Virtual Tours
- 11.3.3 Market Analysis
- 11.3.4 Customer Engagement
- 11.3.5 Content Creation
- 11.4 Central & Eastern Europe Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 11.5 Central & Eastern Europe Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 11.6 Central & Eastern Europe Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 12 : Northern Europe Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 12.1 Northern Europe Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 12.1.1 The United Kingdom
- 12.1.2 Sweden
- 12.1.3 Norway
- 12.1.4 Baltics
- 12.1.5 Ireland
- 12.1.6 Rest of Northern Europe
-
12.2 Northern Europe Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 12.2.1 SaaS
- 12.2.2 Platform
- 12.2.3 API
- 12.2.4 Custom
- 12.2.5 On-Premise
-
12.3 Northern Europe Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 12.3.1 Property Listings
- 12.3.2 Virtual Tours
- 12.3.3 Market Analysis
- 12.3.4 Customer Engagement
- 12.3.5 Content Creation
- 12.4 Northern Europe Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 12.5 Northern Europe Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 12.6 Northern Europe Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 13 : Southern Europe Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 13.1 Southern Europe Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 13.1.1 Spain
- 13.1.2 Italy
- 13.1.3 Portugal
- 13.1.4 Greece
- 13.1.5 Rest of Southern Europe
-
13.2 Southern Europe Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 13.2.1 SaaS
- 13.2.2 Platform
- 13.2.3 API
- 13.2.4 Custom
- 13.2.5 On-Premise
-
13.3 Southern Europe Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 13.3.1 Property Listings
- 13.3.2 Virtual Tours
- 13.3.3 Market Analysis
- 13.3.4 Customer Engagement
- 13.3.5 Content Creation
- 13.4 Southern Europe Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 13.5 Southern Europe Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 13.6 Southern Europe Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 14 : East Asia Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 14.1 East Asia Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 14.1.1 China
- 14.1.2 Japan
- 14.1.3 South Korea
- 14.1.4 Taiwan
- 14.1.5 Others
-
14.2 East Asia Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 14.2.1 SaaS
- 14.2.2 Platform
- 14.2.3 API
- 14.2.4 Custom
- 14.2.5 On-Premise
-
14.3 East Asia Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 14.3.1 Property Listings
- 14.3.2 Virtual Tours
- 14.3.3 Market Analysis
- 14.3.4 Customer Engagement
- 14.3.5 Content Creation
- 14.4 East Asia Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 14.5 East Asia Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 14.6 East Asia Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 15 : Southeast Asia Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 15.1 Southeast Asia Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 15.1.1 Vietnam
- 15.1.2 Singapore
- 15.1.3 Thailand
- 15.1.4 Malaysia
- 15.1.5 Indonesia
- 15.1.6 Philippines
- 15.1.7 Rest of SEA Countries
-
15.2 Southeast Asia Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 15.2.1 SaaS
- 15.2.2 Platform
- 15.2.3 API
- 15.2.4 Custom
- 15.2.5 On-Premise
-
15.3 Southeast Asia Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 15.3.1 Property Listings
- 15.3.2 Virtual Tours
- 15.3.3 Market Analysis
- 15.3.4 Customer Engagement
- 15.3.5 Content Creation
- 15.4 Southeast Asia Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 15.5 Southeast Asia Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 15.6 Southeast Asia Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 16 : South Asia Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 16.1 South Asia Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 16.1.1 India
- 16.1.2 Bangladesh
- 16.1.3 Others
-
16.2 South Asia Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 16.2.1 SaaS
- 16.2.2 Platform
- 16.2.3 API
- 16.2.4 Custom
- 16.2.5 On-Premise
-
16.3 South Asia Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 16.3.1 Property Listings
- 16.3.2 Virtual Tours
- 16.3.3 Market Analysis
- 16.3.4 Customer Engagement
- 16.3.5 Content Creation
- 16.4 South Asia Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 16.5 South Asia Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 16.6 South Asia Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 17 : Central Asia Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 17.1 Central Asia Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 17.1.1 Kazakhstan
- 17.1.2 Tajikistan
- 17.1.3 Others
-
17.2 Central Asia Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 17.2.1 SaaS
- 17.2.2 Platform
- 17.2.3 API
- 17.2.4 Custom
- 17.2.5 On-Premise
-
17.3 Central Asia Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 17.3.1 Property Listings
- 17.3.2 Virtual Tours
- 17.3.3 Market Analysis
- 17.3.4 Customer Engagement
- 17.3.5 Content Creation
- 17.4 Central Asia Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 17.5 Central Asia Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 17.6 Central Asia Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 18 : Oceania Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 18.1 Oceania Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 18.1.1 Australia
- 18.1.2 New Zealand
- 18.1.3 Others
-
18.2 Oceania Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 18.2.1 SaaS
- 18.2.2 Platform
- 18.2.3 API
- 18.2.4 Custom
- 18.2.5 On-Premise
-
18.3 Oceania Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 18.3.1 Property Listings
- 18.3.2 Virtual Tours
- 18.3.3 Market Analysis
- 18.3.4 Customer Engagement
- 18.3.5 Content Creation
- 18.4 Oceania Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 18.5 Oceania Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 18.6 Oceania Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 19 : MEA Generative AI in Real Estate Market Breakdown by Country, Type & Application
- 19.1 MEA Generative AI in Real Estate Market by Country (USD Million) [2020-2024]
- 19.1.1 Turkey
- 19.1.2 South Africa
- 19.1.3 Egypt
- 19.1.4 UAE
- 19.1.5 Saudi Arabia
- 19.1.6 Israel
- 19.1.7 Rest of MEA
-
19.2 MEA Generative AI in Real Estate Market by Type (USD Million) [2020-2024]
- 19.2.1 SaaS
- 19.2.2 Platform
- 19.2.3 API
- 19.2.4 Custom
- 19.2.5 On-Premise
-
19.3 MEA Generative AI in Real Estate Market by Application (USD Million) [2020-2024]
- 19.3.1 Property Listings
- 19.3.2 Virtual Tours
- 19.3.3 Market Analysis
- 19.3.4 Customer Engagement
- 19.3.5 Content Creation
- 19.4 MEA Generative AI in Real Estate Market by Country (USD Million) [2025-2032]
- 19.5 MEA Generative AI in Real Estate Market by Type (USD Million) [2025-2032]
- 19.6 MEA Generative AI in Real Estate Market by Application (USD Million) [2025-2032]
Chapter 20: Research Findings & Conclusion
- 20.1 Key Findings
- 20.2 Conclusion
Chapter 21: Methodology and Data Source
-
21.1 Research Methodology & Approach
- 21.1.1 Research Program/Design
- 21.1.2 Market Size Estimation
- 21.1.3 Market Breakdown and Data Triangulation
-
21.2 Data Source
- 21.2.1 Secondary Sources
- 21.2.2 Primary Sources
Chapter 22: Appendix & Disclaimer
- 22.1 Acronyms & bibliography
- 22.2 Disclaimer
Frequently Asked Questions (FAQ):
The Generative AI in Real Estate market is expected to see value worth 1.5 Billion in 2024.
According to the report,the Generative AI in Real Estate Industry size is projected to reach 8 Billion, exhibiting a CAGR of 35.00% by 2032.
The changing dynamics and trends such as Virtual Staging Tools,AI-Based Floor Plan Generation,Chatbots For Buyer Engagement,Predictive Market Analytics,3D Property Modeling are seen as major Game Changer in Global Generative AI in Real Estate Market.
- Demand For AI-Generated Virtual Tours
- Need For Property Design Optimization
- Automated Valuations
- Rise In PropTech Innovation
- Marketing Efficiency
Business transformation in Generative AI in Real Estate Market has taken hold due to the confluence of several important triggers, some of them are Regulatory Compliance In Valuation,Data Privacy Issues,Market Skepticism,Integration With Existing Systems,ROI Uncertainty.
Some of the opportunities that Analyst at HTF MI have identified in Generative AI in Real Estate Market are:
- Real Estate Marketing Agencies
- Customizable AI Tools For Agents
- Virtual Renovation Services
- PropTech Startups
- Data Licensing
Generative AI in Real Estate Market identifies market share by players along with the concentration rate using CR4, CR8 Index to determine leading and emerging competitive players such as JLL (USA),Archistar (Australia),Matterport (USA),LeewayHertz (USA),Markovate (USA),Reonomy (USA),Zillow AI (USA),Compass (USA),Hyro (USA),DreamStaging AI (USA),InteriorAI (USA),OpenAI (USA),Doxel (USA),Hyro (USA),Homestyler AI (China).
The Global Generative AI in Real Estate Market Study is Broken down by applications such as Property listings,Virtual tours,Market analysis,Customer engagement,Content creation.
The Global Generative AI in Real Estate Market Study is segmented by SaaS,Platform,API,Custom,On-Premise.
The Global Generative AI in Real Estate Market Study includes regional breakdown as North America, LATAM, West Europe,Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA
Historical Year: 2020 - 2024; Base year: 2024; Forecast period: 2025 to 2032
Generative AI in real estate leverages machine learning models to automatically generate property descriptions, predict market trends, design architectural layouts, and enhance customer personalization in property listings, improving operational efficiency and decision-making for developers, brokers, and investors.
