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市場調査レポート
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1413965

不動産におけるAIの世界市場レポート 2024年

AI In Real Estate Global Market Report 2024

出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 200 Pages | 納期: 2~10営業日

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不動産におけるAIの世界市場レポート 2024年
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2~10営業日
  • 全表示
  • 概要
  • 目次
概要

不動産におけるAIの市場規模は近年急激に拡大しています。2023年の1,649億6,000万米ドルから2024年には2,267億1,000万米ドルへと、CAGR37.4%で拡大します。過去の期間に見られた拡大は、市場分析と予測の進歩、チャットボットとバーチャルアシスタントの統合、不動産評価と予測における革新、不動産検索機能の改善、不動産管理におけるプロセスの自動化など、いくつかの要因に起因しています。

不動産におけるAI市場規模は、今後数年間で飛躍的な成長が見込まれます。2028年の年間平均成長率(CAGR)は34.0%で、7,315億9,000万米ドルに成長します。予測期間中に予想される成長は、データセキュリティの重視、パーソナライズされた不動産サービスの提供、市場予測とトレンド分析の重視の高まり、顧客とのインタラクションの改善、スマートビル・ソリューションに対する需要の高まりに起因すると考えられます。予測期間中に予想される注目すべき動向には、パーソナライズされた顧客体験、不動産評価への予測分析の適用、不動産検索機能の強化、バーチャルツアーとビジュアライゼーションの統合、不動産管理プロセスの自動化などが含まれます。

不動産におけるAI市場の成長予測は、モノのインターネット(IoT)デバイスの採用増加と密接に結びついています。IoT機器とは、センサー、ソフトウェア、接続機能が組み込まれた物理的な物体で、インターネットを介してデータを収集・交換することができます。不動産分野では、AIはAIとIoTデバイスの両方を活用し、市場分析や賃貸分析、予知保全、ユーティリティ管理、テナント体験全体の向上など、さまざまな用途に活用しています。2022年5月にIoT Analyticsが発表した「State of IoT-Spring 2022」レポートによると、2021年のアクティブエンドポイント数は122億台で、IoT接続総数の8%増を反映しています。IoT産業はさらに18%成長し、2022年には144億のアクティブ接続に達すると予想されています。したがって、IoTデバイスの普及が不動産におけるAI市場の成長を促進する主な要因となっています。

不動産におけるAIの成長は、世界のインターネット普及率の拡大にも影響されています。インターネットの普及率は、インターネットを利用する国や地域の総人口に占める割合として定義され、不動産業界におけるAIの採用と影響を形成する上で重要な役割を果たしています。AIは、市場動向を予測し、買い手の嗜好を理解し、情報に基づいた意思決定を行う能力を不動産業者に与えます。国際通信連合(ITU)が2023年7月に発表した報告書によると、2021年には世界人口の67%を占める推定54億人がインターネットを利用しています。これは2022年から1.88%の増加であり、その間におよそ1億人がインターネットを利用するようになった。インターネットの普及は、不動産市場におけるAIの成長に大きく貢献しています。

2023年の不動産におけるAI市場で最大の地域は北米でした。不動産におけるAI市場レポートの対象地域は、アジア太平洋、西欧、東欧、北米、南米、中東・アフリカです。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年~2023年
  • 世界の市場規模予測と成長、2023年~2028年、2033年

第6章 市場セグメンテーション

  • 世界の不動産におけるAI市場、技術別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 機械学習
  • 自然言語処理(NLP)
  • コンピュータビジョン
  • 世界の不動産におけるAI市場、ソリューション別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • チャットボット
  • 顧客行動分析
  • 高度な特性分析
  • 顧客関係管理(CRM)
  • データ分析と視覚化
  • 見込み顧客の発掘とマーケティング
  • 資産管理
  • 世界の不動産におけるAI市場、企業規模別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 大企業
  • 中小企業(SME)
  • 世界の不動産におけるAI市場、用途別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 設計と計画
  • 建設
  • プロモーションと販売

第7章 地域および国の分析

  • 世界の不動産におけるAI市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界の不動産におけるAI市場、国別、実績および予測、2018-2023年、2023-2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 不動産におけるAI市場の競合情勢
  • 不動産におけるAI市場企業プロファイル
    • Compass Inc.
    • Redfin Corporation
    • REX Real Estate
    • Lexalytics Inc.
    • Microsoft Corporation

第31章 競合ベンチマーキング

第32章 競合ダッシュボード

第33章 主要な合併と買収

第34章 将来の見通しと可能性の分析

第35章 付録

目次
Product Code: r11475

“AI In Real Estate Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • 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 the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for 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? “The 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, competitive landscape, market shares, 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.
  • 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 1) By Technology: Machine Learning; Natural Language Processing (NLP); Computer Vision
  • 2) By Solution: Chatbots; Customer Behavior Analytics; Advanced Property Analysis; Customer Relationship Management (CRM); Data Analytics And Visualization; Lead Generation And Marketing; Property Management
  • 3) By Enterprise Size: Large Enterprises; Small And Mid-sized Enterprises (SMEs)
  • 4) By Application: Design And Plan; Construction; Promotion And Sales
  • Companies Mentioned: Compass Inc.; Redfin Corporation; REX Real Estate; Lexalytics Inc.; Microsoft Corporation
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.

Executive Summary

AI in real estate entails the utilization of artificial intelligence technologies and techniques to enhance different facets of the real estate industry. This involves employing computer systems and algorithms capable of analyzing extensive data sets, learning from patterns and trends, and providing intelligent predictions or recommendations in areas such as real estate transactions, property management, customer service, and market analysis.

Key AI technologies in real estate include machine learning, natural language processing (NLP), and computer vision. Machine learning is a branch of artificial intelligence that focuses on developing algorithms and models enabling computers to learn, make predictions, or decisions without explicit programming. Various AI solutions in real estate encompass chatbots, customer behavior analytics, advanced property analysis, customer relationship management (CRM), data analytics and visualization, lead generation and marketing, as well as property management, catering to diverse enterprise sizes ranging from large enterprises to small and mid-sized enterprises (SMEs). Applications of AI in real estate span design and planning, construction, and promotion and sales.

The AI in real estate market research report is one of a series of new reports from The Business Research Company that provides AI in real estate market statistics, including AI in real estate industry global market size, regional shares, competitors with a AI in real estate market share, detailed AI in real estate market segments, market trends and opportunities, and any further data you may need to thrive in the AI in real estate industry. This 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 ai in real estate market size has grown exponentially in recent years. It will grow from $164.96 billion in 2023 to $226.71 billion in 2024 at a compound annual growth rate (CAGR) of 37.4%. The expansion observed in the historical period can be attributed to several factors, including advancements in market analytics and forecasting, the integration of chatbots and virtual assistants, innovations in property valuation and prediction, improvements in property search capabilities, and the automation of processes in property management.

The ai in real estate market size is expected to see exponential growth in the next few years. It will grow to $731.59 billion in 2028 at a compound annual growth rate (CAGR) of 34.0%. The anticipated growth in the forecast period can be attributed to a focus on data security, the provision of personalized real estate services, an increased emphasis on market forecasting and trends analysis, improvements in customer interaction, and a growing demand for smart building solutions. Noteworthy trends expected in the forecast period encompass personalized customer experiences, the application of predictive analytics for property valuation, enhanced property search capabilities, the integration of virtual tours and visualization, and the automation of property management processes.

The anticipated growth of the AI in real estate market is closely tied to the increasing adoption of Internet of Things (IoT) devices. IoT devices are physical objects embedded with sensors, software, and connectivity capabilities that enable them to collect and exchange data over the internet. In the real estate sector, AI utilizes both AI and IoT devices for various applications such as market and leasing analytics, predictive maintenance, utility management, and enhancing the overall tenant experience. According to the State of IoT-Spring 2022 report by IoT Analytics in May 2022, there were 12.2 billion active endpoints in 2021, reflecting an 8% increase in the total number of IoT connections. The IoT industry is expected to see a further 18% growth, reaching 14.4 billion active connections in 2022. Hence, the increasing adoption of IoT devices is a key driver propelling the growth of the AI in real estate market.

The growth of AI in real estate is also influenced by the expanding internet penetration worldwide. Internet penetration, defined as the percentage of the total population in a given country or region that uses the Internet, plays a crucial role in shaping the adoption and impact of AI in the real estate industry. It empowers real estate agents with the ability to predict market trends, understand buyer preferences, and make informed decisions. According to a report published by the International Telecommunication Union (ITU) in July 2023, an estimated 5.4 billion people, constituting 67% of the world's population, were using the Internet in 2021. This marked an increase of 1.88% from 2022, with approximately 0.1 billion people coming online during that period. The growing internet penetration is thus contributing significantly to the growth of AI in the real estate market.

Technological innovations represent a prominent trend gaining traction in the AI in real estate market, with companies actively adopting new technologies to maintain their competitive positions. In September 2022, Restb.ai, a Spain-based computer vision provider for real estate, introduced the MLS Suite for Multiple Listing Services in AI in real estate. This suite comprises software tools designed to streamline MLS updates, offering AI-powered technologies to automate the listing entry process, enhance security for IDX and VOW website users, and enrich MLS data to increase its overall value. The AI Tagging function within the suite enables users to automatically extract information about property attributes, including property descriptions. Moreover, the suite includes features such as MLS Agent and compliance, automating the identification of any violations of MLS or association regulations, optimizing compliance operations.

Major companies operating in the AI in real estate market are strategically focusing on developing technological innovations, such as AI-driven price engines, to gain a competitive edge. An AI-driven price engine is a software system leveraging artificial intelligence (AI) and machine learning (ML) techniques to optimize pricing strategies. In December 2023, Housing.com, an Indian-based real estate search portal, launched an AI-driven Price Trend Engine. This innovative feature utilizes machine learning and artificial intelligence to provide users with critical pricing data and insights, empowering them to make informed decisions in property transactions. The Price Trend Engine is anticipated to have a significant impact on the real estate industry by increasing transparency and simplifying the processes of buying, selling, and renting properties.

In May 2021, CoStar Group, a US-based analytics and marketing services company, acquired Homes.com for $156 million. This strategic acquisition extends the CoStar Group's portfolio by seamlessly bringing together agents, buyers, and sellers for house sales, enhancing the online home-purchasing experience in real estate. Homes.com, a US-based online real estate portal, utilized AI and data analytics to provide property listings, home valuations, and market insights, reflecting the increasing integration of AI in real estate operations.

Major companies operating in the ai in real estate market report are Compass Inc., Redfin Corporation, REX Real Estate, Lexalytics Inc., Microsoft Corporation, Avaamo Technologies Pvt. Ltd., CAPE Analytics LLC, CognitiveScale UK Ltd., ComplyAdvantage, Hyro Technologies Inc., Entera SAS, Oracle Corporation, SAP SE, International Business Machines Corporation, Addepto, Keyway Technologies Inc., HouseCanary Inc., TRIGIGA Inc., GeoPhy Inc., Enodo Inc., Autohost Inc., Propic AI Inc., DEXMA Inc., Skyline AI Inc., Jones Lang LaSalle Inc., Engel & Volkers AG, Zillow Group Inc., Opendoor Technologies Inc., Knock Inc., Offerpad Solutions Inc., Homelight Inc., Reali Inc., Ribbon Home Inc., Orchard Home Loans Inc.

North America was the largest region in the AI in real estate market in 2023. The regions covered in the ai in real estate market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in real estate market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in the real estate market includes revenues earned by entities by providing services such as property search and recommendation, price estimation and valuation, customer service. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

Table of Contents

1. Executive Summary

2. AI In Real Estate Market Characteristics

3. AI In Real Estate Market Trends And Strategies

4. AI In Real Estate Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On the Market
  • 4.2. Ukraine-Russia War Impact On the Market
  • 4.3. COVID-19 Impact On the Market

5. Global AI In Real Estate Market Size and Growth

  • 5.1. Global AI In Real Estate Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI In Real Estate Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI In Real Estate Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI In Real Estate Market Segmentation

  • 6.1. Global AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • 6.2. Global AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Chatbots
  • Customer Behavior Analytics
  • Advanced Property Analysis
  • Customer Relationship Management (CRM)
  • Data Analytics And Visualization
  • Lead Generation And Marketing
  • Property Management
  • 6.3. Global AI In Real Estate Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Large Enterprises
  • Small And Mid-sized Enterprises (SMEs)
  • 6.4. Global AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Design And Plan
  • Construction
  • Promotion And Sales

7. AI In Real Estate Market Regional And Country Analysis

  • 7.1. Global AI In Real Estate Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI In Real Estate Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI In Real Estate Market

  • 8.1. Asia-Pacific AI In Real Estate Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI In Real Estate Market

  • 9.1. China AI In Real Estate Market Overview
  • 9.2. China AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI In Real Estate Market

  • 10.1. India AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI In Real Estate Market

  • 11.1. Japan AI In Real Estate Market Overview
  • 11.2. Japan AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI In Real Estate Market

  • 12.1. Australia AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI In Real Estate Market

  • 13.1. Indonesia AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI In Real Estate Market

  • 14.1. South Korea AI In Real Estate Market Overview
  • 14.2. South Korea AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI In Real Estate Market

  • 15.1. Western Europe AI In Real Estate Market Overview
  • 15.2. Western Europe AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI In Real Estate Market

  • 16.1. UK AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI In Real Estate Market

  • 17.1. Germany AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI In Real Estate Market

  • 18.1. France AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI In Real Estate Market

  • 19.1. Italy AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI In Real Estate Market

  • 20.1. Spain AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI In Real Estate Market

  • 21.1. Eastern Europe AI In Real Estate Market Overview
  • 21.2. Eastern Europe AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI In Real Estate Market

  • 22.1. Russia AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI In Real Estate Market

  • 23.1. North America AI In Real Estate Market Overview
  • 23.2. North America AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI In Real Estate Market

  • 24.1. USA AI In Real Estate Market Overview
  • 24.2. USA AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI In Real Estate Market

  • 25.1. Canada AI In Real Estate Market Overview
  • 25.2. Canada AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI In Real Estate Market

  • 26.1. South America AI In Real Estate Market Overview
  • 26.2. South America AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI In Real Estate Market

  • 27.1. Brazil AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI In Real Estate Market

  • 28.1. Middle East AI In Real Estate Market Overview
  • 28.2. Middle East AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI In Real Estate Market

  • 29.1. Africa AI In Real Estate Market Overview
  • 29.2. Africa AI In Real Estate Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI In Real Estate Market, Segmentation By Solutions, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI In Real Estate Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. AI In Real Estate Market Competitive Landscape And Company Profiles

  • 30.1. AI In Real Estate Market Competitive Landscape
  • 30.2. AI In Real Estate Market Company Profiles
    • 30.2.1. Compass Inc.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Redfin Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. REX Real Estate
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Lexalytics Inc.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Microsoft Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Global AI In Real Estate Market Competitive Benchmarking

32. Global AI In Real Estate Market Competitive Dashboard

33. Key Mergers And Acquisitions In The AI In Real Estate Market

34. AI In Real Estate Market Future Outlook and Potential Analysis

  • 34.1 AI In Real Estate Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 AI In Real Estate Market In 2028 - Segments Offering Most New Opportunities
  • 34.3 AI In Real Estate Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35.4. Research Inquiries
  • 35.5. The Business Research Company
  • 35.6. Copyright And Disclaimer