시장보고서
상품코드
1981212

부동산용 생성형 인공지능(AI) 시장 보고서(2026년)

Generative Artificial Intelligence (AI) In Real Estate Global Market Report 2026

발행일: | 리서치사: The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

부동산용 생성형 AI 시장 규모는 최근 비약적으로 확대하고 있습니다. 2025년 7억 7,000만 달러에서 2026년에는 10억 달러로 성장하며, CAGR은 30.4%에 달할 전망입니다. 지금까지의 성장 요인으로는 디지털 부동산 매물 정보 증가, 데이터베이스 평가에 대한 수요 증가, 스마트 빌딩 개념의 확대, 부동산 투자 활동의 활성화, 부동산 관리 소프트웨어의 도입 등을 꼽을 수 있습니다.

부동산용 생성형 AI 시장 규모는 향후 수년간 비약적인 성장이 전망되고 있습니다. 2030년에는 28억 6,000만 달러에 달하며, CAGR은 29.8%에 달할 전망입니다. 예측 기간 중의 성장은 생성형 AI 플랫폼의 통합, 개인화된 부동산 인사이트에 대한 수요, 스마트 시티 개념의 확대, 에너지 절약 건물에 대한 집중, 예측 분석의 사용 증가에 기인할 것으로 보입니다. 예측 기간의 주요 동향으로는 AI를 활용한 부동산 평가 모델, 건축 계획을 위한 생성 설계, 부동산 시장 예측 분석, 개인화된 부동산 추천 엔진, 건물내 AI를 활용한 에너지 최적화 등이 있습니다.

신규 건설 프로젝트에 대한 수요 증가는 향후 수년간 부동산 시장에서 생성형 AI의 성장을 촉진할 것으로 예측됩니다. 인구 증가, 급속한 도시화, 변화하는 라이프스타일과 경제 상황에 대응하기 위한 인프라 및 주택 현대화 요구로 인해 신축 건설 활동이 확대되고 있습니다. 부동산 분야에서의 생성형 AI는 건축 설계 최적화, 계획 및 스케줄링 프로세스 자동화, 자재 소요량 예측을 통해 건설 활동을 지원하여 보다 효율적이고 비용 효율적인 프로젝트 관리를 실현합니다. 예를 들어 2025년 3월 미국 정부 기관인 미국 노동 통계국에 따르면 건설업 고용자 수는 2023년 800만 명으로 사상 최고치를 기록할 것으로 예상되며, 2023-2033년 이 부문은 4.7% 성장할 것으로 전망되었습니다. 이는 전체 고용 증가율을 상회하는 속도로, 약 38만 100개의 일자리가 창출되며, 2033년까지 약 840만 명에 달할 것으로 예측됩니다. 따라서 신축 수요 증가는 부동산 시장에서의 생성형 AI(인공지능)의 확장을 촉진하고 있습니다.

부동산 시장내 주요 생성형 AI 기업은 부동산 평가의 정확성 향상, 거래 프로세스 효율화, 고객 참여 강화를 목적으로 AI를 활용한 부동산 어시스턴트를 개발하고 있습니다. 이러한 생성형 AI를 활용한 어시스턴트는 인공지능 기술을 이용하여 다양한 부동산 업무를 지원하도록 설계된 첨단 디지털 툴입니다. 예를 들어 2024년 6월 미국 부동산 회사 켈러 윌리엄스 리얼티(Keller Williams Realty)는 생성형 AI를 활용한 부동산 비서 'KWIQ'를 발표했습니다. KWIQ는 다양한 툴와 기능을 제공하여 부동산 중개인의 생산성과 효율성을 높일 수 있도록 설계되었습니다. 에이전트가 뉴스레터, 소셜미디어 게시물, 매물 설명문 등 다양한 유형의 컨텐츠를 제작할 수 있도록 지원하여 마케팅 활동을 간소화합니다. 이 툴은 에이전트가 보다 스마트하고 효과적으로 업무를 수행하고 고객 서비스 제공 능력을 향상시키는 것을 목표로 하고 있습니다.

자주 묻는 질문

  • 부동산용 생성형 AI 시장 규모는 어떻게 변화하고 있나요?
  • 부동산용 생성형 AI의 성장 요인은 무엇인가요?
  • 부동산 시장에서 생성형 AI의 역할은 무엇인가요?
  • 부동산 분야에서 생성형 AI를 활용한 주요 기업은 어떤 기업이 있나요?
  • 부동산용 생성형 AI의 주요 동향은 무엇인가요?

목차

제1장 개요

제2장 시장의 특징

제3장 시장 공급망 분석

제4장 세계 시장 동향과 전략

제5장 최종 용도 산업의 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의에 의한 공급망에 대한 영향, Covid가 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계의 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 시장의 세계 TAM(Total Addressable Market)

제9장 시장 세분화

제10장 시장·업계 지표 : 국가별

제11장 지역별·국가별 분석

제12장 아시아태평양 시장

제13장 중국 시장

제14장 인도 시장

제15장 일본 시장

제16장 호주 시장

제17장 인도네시아 시장

제18장 한국 시장

제19장 대만 시장

제20장 동남아시아 시장

제21장 서유럽 시장

제22장 영국 시장

제23장 독일 시장

제24장 프랑스 시장

제25장 이탈리아 시장

제26장 스페인 시장

제27장 동유럽 시장

제28장 러시아 시장

제29장 북미 시장

제30장 미국 시장

제31장 캐나다 시장

제32장 남미 시장

제33장 브라질 시장

제34장 중동 시장

제35장 아프리카 시장

제36장 시장 규제 상황과 투자환경

제37장 경쟁 구도와 기업 개요

제38장 기타 대기업과 혁신적 기업

제39장 세계의 시장 경쟁 벤치마킹과 대시보드

제40장 주요 합병과 인수

제41장 시장의 잠재력이 높은 국가, 부문, 전략

제42장 부록

KSA

Generative AI in real estate involves leveraging artificial intelligence technologies to create, analyze, and optimize real estate data and processes. By employing advanced algorithms, generative AI can produce accurate property valuations, design innovative architectural plans, forecast market trends, and provide personalized property recommendations. This enhances decision-making and improves operational efficiency within the industry.

The main elements of generative AI in the real estate market include services, software tools, and platforms. Services in this area consist of consulting, implementation, and support, helping businesses integrate AI technologies into their operations. Deployment options include cloud-based and on-premises solutions, with applications spanning property valuation, building design, predictive maintenance, energy management, and more. End-users of these technologies include real estate agents, property managers, architects, engineers, and others.

Tariffs have influenced the generative artificial intelligence in real estate market by affecting the cost of imported IT hardware, sensors, and cloud infrastructure used in AI driven property platforms. Increased tariffs on computing equipment and smart building components have raised implementation costs for valuation, design, and energy management solutions, particularly in North America and Asia Pacific. These cost pressures have slowed adoption among small and mid sized real estate firms. However, tariffs are also encouraging local technology sourcing, regional data center investments, and domestic software development, supporting long term market stability and resilience.

The generative artificial intelligence (AI) in real estate market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in real estate market statistics, including generative artificial intelligence (AI) in real estate industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in real estate market share, detailed generative artificial intelligence (AI) in real estate market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in real estate industry. This generative artificial intelligence (AI) in real estate market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative artificial intelligence (AI) in real estate market size has grown exponentially in recent years. It will grow from $0.77 billion in 2025 to $1 billion in 2026 at a compound annual growth rate (CAGR) of 30.4%. The growth in the historic period can be attributed to growth of digital property listings, rising demand for data driven valuation, expansion of smart building concepts, increasing real estate investment activity, adoption of property management software.

The generative artificial intelligence (AI) in real estate market size is expected to see exponential growth in the next few years. It will grow to $2.86 billion in 2030 at a compound annual growth rate (CAGR) of 29.8%. The growth in the forecast period can be attributed to integration of generative AI platforms, demand for personalized real estate insights, growth of smart city initiatives, focus on energy efficient buildings, increasing use of predictive analytics. Major trends in the forecast period include AI driven property valuation models, generative design for architecture planning, predictive real estate market forecasting, personalized property recommendation engines, AI enabled energy optimization in buildings.

The increasing demand for new construction projects is expected to drive the growth of generative artificial intelligence (AI) in the real estate market in the coming years. New construction activity is expanding due to population growth, rapid urbanization, and the need to modernize infrastructure and housing to support evolving lifestyles and economic conditions. Generative AI in real estate supports construction activities by optimizing building designs, automating planning and scheduling processes, and forecasting material requirements, resulting in more efficient and cost-effective project management. For example, in March 2025, according to the U.S. Bureau of Labor Statistics, a US-based government agency, construction employment reached a record level of 8.0 million workers in 2023, with the sector projected to grow by 4.7% from 2023 to 2033, outpacing overall employment growth and adding approximately 380,100 jobs to reach nearly 8.4 million workers by 2033. Therefore, the growing demand for new construction is fueling the expansion of generative artificial intelligence (AI) in the real estate market.

Major companies in the generative AI in real estate market are developing AI-powered real estate assistants to improve property valuation accuracy, streamline transaction processes, and enhance customer engagement. These generative AI-powered assistants are advanced digital tools designed to support various real estate tasks using artificial intelligence technologies. For example, in June 2024, Keller Williams Realty Inc., a US-based real estate company, introduced KWIQ, a generative AI-powered real estate assistant. KWIQ is designed to increase the productivity and efficiency of real estate agents by providing a range of tools and features. It helps agents create various types of content, such as newsletters, social media posts, and listing descriptions, thereby simplifying their marketing efforts. The tool aims to enable agents to work more intelligently and effectively, improving their capacity to serve clients.

In June 2024, Entrata, a US-based company specializing in property management software, acquired Colleen AI for an undisclosed amount. This acquisition aims to integrate Colleen AI into Entrata's existing system to improve autonomous property management. The integration is expected to enhance operational efficiency and enrich the resident experience by automating end-to-end workflows. Colleen AI is a US-based generative AI startup focused on the real estate sector, designed to streamline property management and improve communication between property managers and residents.

Major companies operating in the generative artificial intelligence (AI) in real estate market are Compass Inc., Rocket Companies, Autodesk Inc., Zillow Group Inc., Yardi Systems Inc., Redfin Corporation, C3.AI Inc., Keller Williams Realty Inc., Matterport Inc., Rex Real Estate Exchange Inc., HouseCanary Inc., Roof AI Inc., SmartZip Analytics Inc., Knock, AppFolio, Altus Group, CoreLogic, OpenDoor, Zumper, Reonomy, Anyone.com, MagicDoor, Nestopa, HqO, Gridics, Cherry, Apartment Ocean, Street Group, Jitty, Nimbus Maps

North America was the largest region in the generative artificial intelligence (AI) in real estate market in 2025. The regions covered in the generative artificial intelligence (AI) in real estate market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in real estate market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in the real estate market consists of revenues earned by property valuation and pricing, market analysis and forecasting, virtual tours and staging, lead generation and management, risk assessment, and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in the real estate market also includes sales of products including property valuation tools, chatbots and virtual assistants. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative Artificial Intelligence (AI) In Real Estate Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses generative artificial intelligence (AI) in real estate market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
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  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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Where is the largest and fastest growing market for generative artificial intelligence (AI) in real estate ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in real estate market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Services; Software Tools; Platforms
  • 2) By Deployment Mode: Cloud-Based; On-Premises
  • 3) By Application: Property Valuation; Building Design; Predictive Maintenance; Energy Management; Other Applications
  • 4) By End-User: Real Estate Agents; Property Managers; Architects; Engineers; Other End-Users
  • Subsegments:
  • 1) By Services: Consulting Services; Integration Services; Support and Maintenance Services; Data Analytics Services
  • 2) By Software Tools: AI-Powered Property Valuation Tools; Predictive Analytics Software For Market Trends; AI-Based Investment Tools; Virtual Property Tours And Visualization Tools
  • 3) By Platforms: AI-Driven Real Estate Platforms; Cloud-Based Property Management Platforms; AI-Based Real Estate Marketplaces; Real Estate CRM Platforms With AI Integration
  • Companies Mentioned: Compass Inc.; Rocket Companies; Autodesk Inc.; Zillow Group Inc.; Yardi Systems Inc.; Redfin Corporation; C3.AI Inc.; Keller Williams Realty Inc.; Matterport Inc.; Rex Real Estate Exchange Inc.; HouseCanary Inc.; Roof AI Inc.; SmartZip Analytics Inc.; Knock; AppFolio; Altus Group; CoreLogic; OpenDoor; Zumper; Reonomy; Anyone.com; MagicDoor; Nestopa; HqO; Gridics; Cherry; Apartment Ocean; Street Group; Jitty; Nimbus Maps
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative Artificial Intelligence (AI) In Real Estate Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence (AI) In Real Estate Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative Artificial Intelligence (AI) In Real Estate Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative Artificial Intelligence (AI) In Real Estate Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Fintech, Blockchain, Regtech & Digital Finance
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 AI Driven Property Valuation Models
    • 4.2.2 Generative Design For Architecture Planning
    • 4.2.3 Predictive Real Estate Market Forecasting
    • 4.2.4 Personalized Property Recommendation Engines
    • 4.2.5 AI Enabled Energy Optimization In Buildings

5. Generative Artificial Intelligence (AI) In Real Estate Market Analysis Of End Use Industries

  • 5.1 Real Estate Agents
  • 5.2 Property Management Companies
  • 5.3 Architectural Firms
  • 5.4 Construction And Engineering Companies
  • 5.5 Real Estate Investment Firms

6. Generative Artificial Intelligence (AI) In Real Estate Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative Artificial Intelligence (AI) In Real Estate Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Real Estate PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative Artificial Intelligence (AI) In Real Estate Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative Artificial Intelligence (AI) In Real Estate Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative Artificial Intelligence (AI) In Real Estate Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative Artificial Intelligence (AI) In Real Estate Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative Artificial Intelligence (AI) In Real Estate Market Segmentation

  • 9.1. Global Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Services, Software Tools, Platforms
  • 9.2. Global Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Cloud-Based, On-Premises
  • 9.3. Global Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Property Valuation, Building Design, Predictive Maintenance, Energy Management, Other Applications
  • 9.4. Global Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Real Estate Agents, Property Managers, Architects, Engineers, Other End-Users
  • 9.5. Global Generative Artificial Intelligence (AI) In Real Estate Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, Integration Services, Support and Maintenance Services, Data Analytics Services
  • 9.6. Global Generative Artificial Intelligence (AI) In Real Estate Market, Sub-Segmentation Of Software Tools, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Powered Property Valuation Tools, Predictive Analytics Software For Market Trends, AI-Based Investment Tools, Virtual Property Tours And Visualization Tools
  • 9.7. Global Generative Artificial Intelligence (AI) In Real Estate Market, Sub-Segmentation Of Platforms, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Driven Real Estate Platforms, Cloud-Based Property Management Platforms, AI-Based Real Estate Marketplaces, Real Estate CRM Platforms With AI Integration

10. Generative Artificial Intelligence (AI) In Real Estate Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence (AI) In Real Estate Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence (AI) In Real Estate Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative Artificial Intelligence (AI) In Real Estate Market Regional And Country Analysis

  • 11.1. Global Generative Artificial Intelligence (AI) In Real Estate Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence (AI) In Real Estate Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative Artificial Intelligence (AI) In Real Estate Market

  • 12.1. Asia-Pacific Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence (AI) In Real Estate Market

  • 13.1. China Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence (AI) In Real Estate Market

  • 14.1. India Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence (AI) In Real Estate Market

  • 15.1. Japan Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence (AI) In Real Estate Market

  • 16.1. Australia Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence (AI) In Real Estate Market

  • 17.1. Indonesia Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence (AI) In Real Estate Market

  • 18.1. South Korea Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence (AI) In Real Estate Market

  • 19.1. Taiwan Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence (AI) In Real Estate Market

  • 20.1. South East Asia Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence (AI) In Real Estate Market

  • 21.1. Western Europe Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence (AI) In Real Estate Market

  • 22.1. UK Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence (AI) In Real Estate Market

  • 23.1. Germany Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence (AI) In Real Estate Market

  • 24.1. France Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence (AI) In Real Estate Market

  • 25.1. Italy Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence (AI) In Real Estate Market

  • 26.1. Spain Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence (AI) In Real Estate Market

  • 27.1. Eastern Europe Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence (AI) In Real Estate Market

  • 28.1. Russia Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence (AI) In Real Estate Market

  • 29.1. North America Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence (AI) In Real Estate Market

  • 30.1. USA Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence (AI) In Real Estate Market

  • 31.1. Canada Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence (AI) In Real Estate Market

  • 32.1. South America Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence (AI) In Real Estate Market

  • 33.1. Brazil Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence (AI) In Real Estate Market

  • 34.1. Middle East Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence (AI) In Real Estate Market

  • 35.1. Africa Generative Artificial Intelligence (AI) In Real Estate Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Generative Artificial Intelligence (AI) In Real Estate Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence (AI) In Real Estate Market Regulatory and Investment Landscape

37. Generative Artificial Intelligence (AI) In Real Estate Market Competitive Landscape And Company Profiles

  • 37.1. Generative Artificial Intelligence (AI) In Real Estate Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence (AI) In Real Estate Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence (AI) In Real Estate Market Company Profiles
    • 37.3.1. Compass Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Rocket Companies Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Autodesk Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Zillow Group Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Yardi Systems Inc. Overview, Products and Services, Strategy and Financial Analysis

38. Generative Artificial Intelligence (AI) In Real Estate Market Other Major And Innovative Companies

  • Redfin Corporation, C3.AI Inc., Keller Williams Realty Inc., Matterport Inc., Rex Real Estate Exchange Inc., HouseCanary Inc., Roof AI Inc., SmartZip Analytics Inc., Knock, AppFolio, Altus Group, CoreLogic, OpenDoor, Zumper, Reonomy

39. Global Generative Artificial Intelligence (AI) In Real Estate Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Real Estate Market

41. Generative Artificial Intelligence (AI) In Real Estate Market High Potential Countries, Segments and Strategies

  • 41.1. Generative Artificial Intelligence (AI) In Real Estate Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence (AI) In Real Estate Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence (AI) In Real Estate Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer
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