Report Overview
The artificial intelligence (AI) in real estate market refers to the use of AI technologies to improve various aspects of the real estate industry, including property management, sales, and investment analysis. AI is applied to automate tasks such as property searches, valuations, predictive analytics, and customer service. The market is driven by the growing need for efficient, data-driven solutions to streamline processes and improve decision-making. AI algorithms can analyze vast amounts of data to predict property values, market trends, and investment opportunities. Additionally, AI-powered chatbots and virtual assistants are transforming customer interactions, providing personalized recommendations and improving the home-buying and renting experience. The rise of smart homes and the integration of AI-driven systems for energy management, security, and automation is further driving the adoption of AI in the real estate market. As real estate becomes more digitized, AI is expected to play an increasingly vital role in shaping the industry.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.
Artificial Intelligence in Real Estate Market Size in (USD Billion) CAGR Growth Rate 35.20%
| Study Period | 2024-2030 |
| Market Size (2019): | 6.8Billion |
| Market Size (2030): | 60Billion |
| CAGR (2019 - 2030): | 35.20% |
| Fastest Growing Region | North America |
| Dominating Region | Europe |
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The Artificial Intelligence in Real Estate market is experiencing robust growth, projected to achieve a compound annual growth rate CAGR of 35.20% during the forecast period. Valued at 6.8Billion, the market is expected to reach 60Billion by 2030, with a year-on-year growth rate of 32%.
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.
Artificial Intelligence in Real Estate Market Dynamics
Influencing Trend:
The Artificial Intelligence in Real Estate market is expanding due to:
- Property valuation
- Automated property listings
- Predictive analytics
- Virtual and augmented reality
Market Growth Drivers:
The report is able to determine and examine the elements propelling the Artificial Intelligence in Real Estate market's expansion.
- Development Of Advanced AI-powered Real Estate Solutions
- Expansion Into Emerging Markets
- Integration With Real Estate Platforms
- Customization Options
Challenges:
The research highlight the challenges faced by the industry, including
- Data Quality
- Algorithmic Bias
- Ethical Considerations
- Regulatory Compliance
Opportunities:
The research concludes with suggestions for investors, legislators, and industry participants. It draws attention to prospective opportunities.
- Development Of Advanced AI-powered Real Estate Solutions
- Expansion Into Emerging Markets
- Integration With Real Estate Platforms
- Customization Options
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 Artificial Intelligence in Real Estate is growing at a CAGR of 35.20% during the forecasted period of 2019 to {FORECAT_YEAR}• Year on Year growth for the market is 32%
• North America dominated the market share of 6.8Billion in 2019
• Based on type, the market is bifurcated into Technology, Real estate, AI, Machine learning 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
- Technology
- Real estate
- AI
- Machine learning
Artificial Intelligence in Real Estate Market Segmentation by Type
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Segmentation by Application
- Real estate industry
- Technology industry
- Finance industry
- Construction industry
- Urban planning
Artificial Intelligence 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
North America
Dominating Region
Europe
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.- Zillow
- Redfin
- Realtor.com
- CoreLogic
- HouseCanary
- PropTech
- Matterport
- Compass
- Enodo
- SmartZip
- REX
- Homesnap
- RealtyMogul
- eXp Realty
Artificial Intelligence 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 North America 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, Europe 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 |
2019 |
|
Based Year Market Size (2019) |
6.8Billion |
|
Historical Period |
2024 to 2019 |
|
CAGR (2019 to 2030) |
35.20% |
|
Forecast Period |
2019 to 2030 |
|
Forecasted Period Market Size (2030) |
2030 |
|
Scope of the Report |
Technology, Real estate, AI, Machine learning, Real estate industry, Technology industry, Finance industry, Construction industry, Urban planning |
|
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 |
Zillow, Redfin, Realtor.com, CoreLogic, HouseCanary, PropTech, Matterport, Compass, Enodo, SmartZip, REX, Homesnap, RealtyMogul, eXp Realty |
|
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.
Artificial Intelligence in Real Estate - Table of Contents
Chapter 1: Market Preface
- 1.1 Global Artificial Intelligence in Real Estate Market Landscape
- 1.2 Scope of the Study
- 1.3 Relevant Findings & Stakeholder Advantages
Chapter 2: Strategic Overview
- 2.1 Global Artificial Intelligence in Real Estate Market Outlook
- 2.2 Total Addressable Market versus Serviceable Market
- 2.3 Market Rivalry Projection
Chapter 3 : Global Artificial Intelligence in Real Estate Market Business Environment & Changing Dynamics
-
3.1 Growth Drivers
- 3.1.1 Development of advanced AI-powered real estate solutions
- 3.1.2 Expansion into emerging markets
- 3.1.3 Integration with real estate platforms
- 3.1.4 Customization options
-
3.2 Available Opportunities
- 3.2.1 Development of advanced AI-powered real estate solutions
- 3.2.2 Expansion into emerging markets
- 3.2.3 Integration with real estate platforms
-
3.3 Influencing Trends
- 3.3.1 Property valuation
- 3.3.2 Automated property listings
- 3.3.3 Predictive analytics
- 3.3.4 Virtual and augmented reality
- 3.3.5 Smart homes
-
3.4 Challenges
- 3.4.1 Data quality
- 3.4.2 Algorithmic bias
- 3.4.3 Ethical considerations
- 3.4.4 Regulatory compliance
- 3.4.5 Public acceptance
- 3.5 Regional Dynamics
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Chapter 4 : Global Artificial Intelligence 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 Artificial Intelligence 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: Artificial Intelligence in Real Estate : Competition Benchmarking & Performance Evaluation
- 5.1 Global Artificial Intelligence 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 Artificial Intelligence in Real Estate Revenue 2019
- 5.3 BCG Matrix
- 5.3 Market Entropy
- 5.4 5C’s Analysis
- 5.5 Ansoff Matrix
Chapter 6: Global Artificial Intelligence in Real Estate Market: Company Profiles
- 6.1 Zillow
- 6.1.1 Zillow Company Overview
- 6.1.2 Zillow Product/Service Portfolio & Specifications
- 6.1.3 Zillow Key Financial Metrics
- 6.1.4 Zillow SWOT Analysis
- 6.1.5 Zillow Development Activities
- 6.2 Redfin
- 6.3 Realtor.com
- 6.4 CoreLogic
- 6.5 HouseCanary
- 6.6 PropTech
- 6.7 Matterport
- 6.8 Compass
- 6.9 Enodo
- 6.10 SmartZip
- 6.11 REX
- 6.12 Homesnap
- 6.13 RealtyMogul
- 6.14 EXp Realty
- 6.15 Homie
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Sectional Purchase
Chapter 7 : Global Artificial Intelligence in Real Estate by Type & Application (2024-2030)
-
7.1 Global Artificial Intelligence in Real Estate Market Revenue Analysis (USD Million) by Type (2024-2019)
- 7.1.1 Technology
- 7.1.2 Real Estate
- 7.1.3 AI
- 7.1.4 Machine Learning
- 7.1.5 Property Technology
-
7.2 Global Artificial Intelligence in Real Estate Market Revenue Analysis (USD Million) by Application (2024-2019)
- 7.2.1 Real Estate Industry
- 7.2.2 Technology Industry
- 7.2.3 Finance Industry
- 7.2.4 Construction Industry
- 7.2.5 Urban Planning
- 7.3 Global Artificial Intelligence in Real Estate Market Revenue Analysis (USD Million) by Type (2019-2030)
- 7.4 Global Artificial Intelligence in Real Estate Market Revenue Analysis (USD Million) by Application (2019-2030)
Chapter 8 : North America Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 8.1 North America Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 8.1.1 United States
- 8.1.2 Canada
-
8.2 North America Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 8.2.1 Technology
- 8.2.2 Real Estate
- 8.2.3 AI
- 8.2.4 Machine Learning
- 8.2.5 Property Technology
-
8.3 North America Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 8.3.1 Real Estate Industry
- 8.3.2 Technology Industry
- 8.3.3 Finance Industry
- 8.3.4 Construction Industry
- 8.3.5 Urban Planning
- 8.4 North America Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 8.5 North America Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 8.6 North America Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
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Chapter 9 : LATAM Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 9.1 LATAM Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 9.2.1 Technology
- 9.2.2 Real Estate
- 9.2.3 AI
- 9.2.4 Machine Learning
- 9.2.5 Property Technology
-
9.3 LATAM Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 9.3.1 Real Estate Industry
- 9.3.2 Technology Industry
- 9.3.3 Finance Industry
- 9.3.4 Construction Industry
- 9.3.5 Urban Planning
- 9.4 LATAM Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 9.5 LATAM Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 9.6 LATAM Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 10 : West Europe Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 10.1 West Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 10.2.1 Technology
- 10.2.2 Real Estate
- 10.2.3 AI
- 10.2.4 Machine Learning
- 10.2.5 Property Technology
-
10.3 West Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 10.3.1 Real Estate Industry
- 10.3.2 Technology Industry
- 10.3.3 Finance Industry
- 10.3.4 Construction Industry
- 10.3.5 Urban Planning
- 10.4 West Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 10.5 West Europe Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 10.6 West Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 11 : Central & Eastern Europe Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 11.1 Central & Eastern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 11.2.1 Technology
- 11.2.2 Real Estate
- 11.2.3 AI
- 11.2.4 Machine Learning
- 11.2.5 Property Technology
-
11.3 Central & Eastern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 11.3.1 Real Estate Industry
- 11.3.2 Technology Industry
- 11.3.3 Finance Industry
- 11.3.4 Construction Industry
- 11.3.5 Urban Planning
- 11.4 Central & Eastern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 11.5 Central & Eastern Europe Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 11.6 Central & Eastern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 12 : Northern Europe Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 12.1 Northern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 12.2.1 Technology
- 12.2.2 Real Estate
- 12.2.3 AI
- 12.2.4 Machine Learning
- 12.2.5 Property Technology
-
12.3 Northern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 12.3.1 Real Estate Industry
- 12.3.2 Technology Industry
- 12.3.3 Finance Industry
- 12.3.4 Construction Industry
- 12.3.5 Urban Planning
- 12.4 Northern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 12.5 Northern Europe Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 12.6 Northern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 13 : Southern Europe Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 13.1 Southern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 13.2.1 Technology
- 13.2.2 Real Estate
- 13.2.3 AI
- 13.2.4 Machine Learning
- 13.2.5 Property Technology
-
13.3 Southern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 13.3.1 Real Estate Industry
- 13.3.2 Technology Industry
- 13.3.3 Finance Industry
- 13.3.4 Construction Industry
- 13.3.5 Urban Planning
- 13.4 Southern Europe Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 13.5 Southern Europe Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 13.6 Southern Europe Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 14 : East Asia Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 14.1 East Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 14.2.1 Technology
- 14.2.2 Real Estate
- 14.2.3 AI
- 14.2.4 Machine Learning
- 14.2.5 Property Technology
-
14.3 East Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 14.3.1 Real Estate Industry
- 14.3.2 Technology Industry
- 14.3.3 Finance Industry
- 14.3.4 Construction Industry
- 14.3.5 Urban Planning
- 14.4 East Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 14.5 East Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 14.6 East Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 15 : Southeast Asia Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 15.1 Southeast Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 15.2.1 Technology
- 15.2.2 Real Estate
- 15.2.3 AI
- 15.2.4 Machine Learning
- 15.2.5 Property Technology
-
15.3 Southeast Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 15.3.1 Real Estate Industry
- 15.3.2 Technology Industry
- 15.3.3 Finance Industry
- 15.3.4 Construction Industry
- 15.3.5 Urban Planning
- 15.4 Southeast Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 15.5 Southeast Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 15.6 Southeast Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 16 : South Asia Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 16.1 South Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 16.1.1 India
- 16.1.2 Bangladesh
- 16.1.3 Others
-
16.2 South Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 16.2.1 Technology
- 16.2.2 Real Estate
- 16.2.3 AI
- 16.2.4 Machine Learning
- 16.2.5 Property Technology
-
16.3 South Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 16.3.1 Real Estate Industry
- 16.3.2 Technology Industry
- 16.3.3 Finance Industry
- 16.3.4 Construction Industry
- 16.3.5 Urban Planning
- 16.4 South Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 16.5 South Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 16.6 South Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 17 : Central Asia Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 17.1 Central Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 17.1.1 Kazakhstan
- 17.1.2 Tajikistan
- 17.1.3 Others
-
17.2 Central Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 17.2.1 Technology
- 17.2.2 Real Estate
- 17.2.3 AI
- 17.2.4 Machine Learning
- 17.2.5 Property Technology
-
17.3 Central Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 17.3.1 Real Estate Industry
- 17.3.2 Technology Industry
- 17.3.3 Finance Industry
- 17.3.4 Construction Industry
- 17.3.5 Urban Planning
- 17.4 Central Asia Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 17.5 Central Asia Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 17.6 Central Asia Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 18 : Oceania Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 18.1 Oceania Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 18.1.1 Australia
- 18.1.2 New Zealand
- 18.1.3 Others
-
18.2 Oceania Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 18.2.1 Technology
- 18.2.2 Real Estate
- 18.2.3 AI
- 18.2.4 Machine Learning
- 18.2.5 Property Technology
-
18.3 Oceania Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 18.3.1 Real Estate Industry
- 18.3.2 Technology Industry
- 18.3.3 Finance Industry
- 18.3.4 Construction Industry
- 18.3.5 Urban Planning
- 18.4 Oceania Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 18.5 Oceania Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 18.6 Oceania Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
Chapter 19 : MEA Artificial Intelligence in Real Estate Market Breakdown by Country, Type & Application
- 19.1 MEA Artificial Intelligence in Real Estate Market by Country (USD Million) [2024-2019]
- 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 Artificial Intelligence in Real Estate Market by Type (USD Million) [2024-2019]
- 19.2.1 Technology
- 19.2.2 Real Estate
- 19.2.3 AI
- 19.2.4 Machine Learning
- 19.2.5 Property Technology
-
19.3 MEA Artificial Intelligence in Real Estate Market by Application (USD Million) [2024-2019]
- 19.3.1 Real Estate Industry
- 19.3.2 Technology Industry
- 19.3.3 Finance Industry
- 19.3.4 Construction Industry
- 19.3.5 Urban Planning
- 19.4 MEA Artificial Intelligence in Real Estate Market by Country (USD Million) [2020-2030]
- 19.5 MEA Artificial Intelligence in Real Estate Market by Type (USD Million) [2020-2030]
- 19.6 MEA Artificial Intelligence in Real Estate Market by Application (USD Million) [2020-2030]
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 Artificial Intelligence in Real Estate market is expected to see value worth 6.8 billion in 2019.
The Artificial Intelligence in Real Estate Market is growing at a CAGR of 35.20% over the forecasted period 2019 - 2030.
Property Valuation, Automated Property Listings, Predictive Analytics, Virtual And Augmented Reality, Smart Homes are seen to make big Impact on Artificial Intelligence in Real Estate Market Growth.
- Development Of Advanced AI-powered Real Estate Solutions
- Expansion Into Emerging Markets
- Integration With Real Estate Platforms
- Customization Options
- Cybersecurity
Some of the major challanges seen in Global Artificial Intelligence in Real Estate Market are Data Quality, Algorithmic Bias, Ethical Considerations, Regulatory Compliance, Public Acceptance.
Some of the opportunities that Analyst at HTF MI have identified in Artificial Intelligence in Real Estate Market are:
- Development Of Advanced AI-powered Real Estate Solutions
- Expansion Into Emerging Markets
- Integration With Real Estate Platforms
- Customization Options
- Cybersecurity
Zillow, Redfin, Realtor.com, CoreLogic, HouseCanary, PropTech, Matterport, Compass, Enodo, SmartZip, REX, Homesnap, RealtyMogul, eXp Realty, Homie etc are the main players listed in the Global Artificial Intelligence in Real Estate Market Study.
The Global Artificial Intelligence in Real Estate Market Study is Broken down by applications such as Real estate industry, Technology industry, Finance industry, Construction industry, Urban planning.
The Global Artificial Intelligence in Real Estate Market Study is segmented by Technology, Real estate, AI, Machine learning, Property technology.
The Global Artificial Intelligence 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: 2024 - Base year: 2019. Forecast period**: 2025 to 2030 [** unless otherwise stated]
The artificial intelligence (AI) in real estate market refers to the use of AI technologies to improve various aspects of the real estate industry, including property management, sales, and investment analysis. AI is applied to automate tasks such as property searches, valuations, predictive analytics, and customer service. The market is driven by the growing need for efficient, data-driven solutions to streamline processes and improve decision-making. AI algorithms can analyze vast amounts of data to predict property values, market trends, and investment opportunities. Additionally, AI-powered chatbots and virtual assistants are transforming customer interactions, providing personalized recommendations and improving the home-buying and renting experience. The rise of smart homes and the integration of AI-driven systems for energy management, security, and automation is further driving the adoption of AI in the real estate market. As real estate becomes more digitized, AI is expected to play an increasingly vital role in shaping the industry.
