Financial Technology in Real Estate Comprehensive Study by Type (Lending, Payments, International Money Transfers, Personal Finance, Consumer Banking, Insurance, Others), Category (Digital Lending, Payments, Blockchain, Digital Wealth Management) Players and Region - Global Market Outlook to 2028

Financial Technology in Real Estate Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Financial Technology in Real Estate
Financial Technology in Real Estate is a financial innovation or the technology regarding the finance system of real estate. Financial Technology is a buyer industry with the potential to disrupt the lending market through innovation. Financial Technology in Real estate is a rapidly growing industry, and with the help of Financial Technology, it is expected to expand. Through the evaluation and purchase of real estate, Financial Technology in real Estate contributes to cost savings, reduced friction, and increased investment opportunities. Financial Technology have simplified and made the payment process hassle-free for customers by creating encrypt databases and processes and eliminating the need for an agent.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)


The market is controlled by companies with increasing technological abilities. The company is active in a number of strategic initiatives to maintain its market share in the Financial Technology real estate market and has a broad product portfolio and a strong global presence. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Financial Technology in Real Estate market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Zillow Group (United States), Cadre (United States), Fiserv (United States), Divvy Homes (United States), Opendoor (United States), Generation Home (United Kingdom), LendInvest (United Kingdom), Roofstock (United States), YOURKEYS (United Kingdom) and EMOOV (United Kingdom) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are SS&C Technologies Holdings (United States) and Fair Isaac Corporation (United States).

Segmentation Overview
AMA Research has segmented the market of Global Financial Technology in Real Estate market by Type (Lending, Payments, International Money Transfers, Personal Finance, Consumer Banking, Insurance and Others) and Region.



On the basis of geography, the market of Financial Technology in Real Estate has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Category, the sub-segment i.e. Digital Lending will boost the Financial Technology in Real Estate market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Artificial Intelligence for Real Estate, 3D Printing for Homebuilding and Robo-Advisors for Real Estate Investing

Market Growth Drivers:
Financial Technology Supporting Paperless Operation in Real Estate and Financial Technology Enabling Easy and Accurate Transactions

Challenges:
Finding Relevant and Current Property Information Can Be Going to Be Difficult. and Possibility Of Fraud in Real Estate

Restraints:
High Risk of Possibility of Froud in Real Estate

Opportunities:
Financial Technology Refer Selling and Buying of The Properties Easily and New Technology Introduces in Real Estate Market Due to Financial Technology

Market Leaders and their expansionary development strategies
On 25 march 2022 Lithuanian startup has merged with European real estate aggregator EvoEstate. Following the merger, the EvoEstate platform will continue to provide services to current investors, giving them the chance to make investments in rental projects. The aggregator platform will ultimately be fully integrated.
In 2021 Financial Technology firm RealX launches open marketplace to offer real estate co-ownerships. RealX is a co-ownership investment platform for high yield, high return businesses. RealX enables investors to digitally invest to legally co-own quality properties.
Regulation of data access in Financial Technology and The increased awareness of the value of data in the digital economy necessitated the development of new value propositions for customers while keeping their privacy concerns in mind. This resulted in the creation of two regulations in Europe: the General Data Protection Regulation (GDPR) and the ePrivacy regulation, which addresses data issues arising from web communications, such as consent requirements for the use of cookies, site logs, and so on.

Key Target Audience
Financial Technology provider, Financial Technology manufacturer, Property lender, Property dealer, Government Bodie, Corporate Entities and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Lending
  • Payments
  • International Money Transfers
  • Personal Finance
  • Consumer Banking
  • Insurance
  • Others
By Category
  • Digital Lending
  • Payments
  • Blockchain
  • Digital Wealth Management

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Financial Technology Supporting Paperless Operation in Real Estate
      • 3.2.2. Financial Technology Enabling Easy and Accurate Transactions
    • 3.3. Market Challenges
      • 3.3.1. Finding Relevant and Current Property Information Can Be Going to Be Difficult.
      • 3.3.2. Possibility Of Fraud in Real Estate
    • 3.4. Market Trends
      • 3.4.1. Artificial Intelligence for Real Estate
      • 3.4.2. 3D Printing for Homebuilding
      • 3.4.3. Robo-Advisors for Real Estate Investing
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Financial Technology in Real Estate, by Type, Category and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Financial Technology in Real Estate (Value)
      • 5.2.1. Global Financial Technology in Real Estate by: Type (Value)
        • 5.2.1.1. Lending
        • 5.2.1.2. Payments
        • 5.2.1.3. International Money Transfers
        • 5.2.1.4. Personal Finance
        • 5.2.1.5. Consumer Banking
        • 5.2.1.6. Insurance
        • 5.2.1.7. Others
      • 5.2.2. Global Financial Technology in Real Estate by: Category (Value)
        • 5.2.2.1. Digital Lending
        • 5.2.2.2. Payments
        • 5.2.2.3. Blockchain
        • 5.2.2.4. Digital Wealth Management
      • 5.2.3. Global Financial Technology in Real Estate Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Australia
          • 5.2.3.2.6. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Financial Technology in Real Estate: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Zillow Group (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Cadre (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Fiserv (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Divvy Homes (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Opendoor (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Generation Home (United Kingdom)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. LendInvest (United Kingdom)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Roofstock (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. YOURKEYS (United Kingdom)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. EMOOV (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Financial Technology in Real Estate Sale, by Type, Category and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Financial Technology in Real Estate (Value)
      • 7.2.1. Global Financial Technology in Real Estate by: Type (Value)
        • 7.2.1.1. Lending
        • 7.2.1.2. Payments
        • 7.2.1.3. International Money Transfers
        • 7.2.1.4. Personal Finance
        • 7.2.1.5. Consumer Banking
        • 7.2.1.6. Insurance
        • 7.2.1.7. Others
      • 7.2.2. Global Financial Technology in Real Estate by: Category (Value)
        • 7.2.2.1. Digital Lending
        • 7.2.2.2. Payments
        • 7.2.2.3. Blockchain
        • 7.2.2.4. Digital Wealth Management
      • 7.2.3. Global Financial Technology in Real Estate Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Australia
          • 7.2.3.2.6. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Financial Technology in Real Estate: by Type(USD Million)
  • Table 2. Financial Technology in Real Estate Lending , by Region USD Million (2017-2022)
  • Table 3. Financial Technology in Real Estate Payments , by Region USD Million (2017-2022)
  • Table 4. Financial Technology in Real Estate International Money Transfers , by Region USD Million (2017-2022)
  • Table 5. Financial Technology in Real Estate Personal Finance , by Region USD Million (2017-2022)
  • Table 6. Financial Technology in Real Estate Consumer Banking , by Region USD Million (2017-2022)
  • Table 7. Financial Technology in Real Estate Insurance , by Region USD Million (2017-2022)
  • Table 8. Financial Technology in Real Estate Others , by Region USD Million (2017-2022)
  • Table 9. Financial Technology in Real Estate: by Category(USD Million)
  • Table 10. Financial Technology in Real Estate Digital Lending , by Region USD Million (2017-2022)
  • Table 11. Financial Technology in Real Estate Payments , by Region USD Million (2017-2022)
  • Table 12. Financial Technology in Real Estate Blockchain , by Region USD Million (2017-2022)
  • Table 13. Financial Technology in Real Estate Digital Wealth Management , by Region USD Million (2017-2022)
  • Table 14. South America Financial Technology in Real Estate, by Country USD Million (2017-2022)
  • Table 15. South America Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 16. South America Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 17. Brazil Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 18. Brazil Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 19. Argentina Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 20. Argentina Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 21. Rest of South America Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 22. Rest of South America Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 23. Asia Pacific Financial Technology in Real Estate, by Country USD Million (2017-2022)
  • Table 24. Asia Pacific Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 25. Asia Pacific Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 26. China Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 27. China Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 28. Japan Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 29. Japan Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 30. India Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 31. India Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 32. South Korea Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 33. South Korea Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 34. Australia Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 35. Australia Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 36. Rest of Asia-Pacific Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 37. Rest of Asia-Pacific Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 38. Europe Financial Technology in Real Estate, by Country USD Million (2017-2022)
  • Table 39. Europe Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 40. Europe Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 41. Germany Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 42. Germany Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 43. France Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 44. France Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 45. Italy Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 46. Italy Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 47. United Kingdom Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 48. United Kingdom Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 49. Netherlands Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 50. Netherlands Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 51. Rest of Europe Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 52. Rest of Europe Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 53. MEA Financial Technology in Real Estate, by Country USD Million (2017-2022)
  • Table 54. MEA Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 55. MEA Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 56. Middle East Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 57. Middle East Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 58. Africa Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 59. Africa Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 60. North America Financial Technology in Real Estate, by Country USD Million (2017-2022)
  • Table 61. North America Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 62. North America Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 63. United States Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 64. United States Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 65. Canada Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 66. Canada Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 67. Mexico Financial Technology in Real Estate, by Type USD Million (2017-2022)
  • Table 68. Mexico Financial Technology in Real Estate, by Category USD Million (2017-2022)
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Financial Technology in Real Estate: by Type(USD Million)
  • Table 80. Financial Technology in Real Estate Lending , by Region USD Million (2023-2028)
  • Table 81. Financial Technology in Real Estate Payments , by Region USD Million (2023-2028)
  • Table 82. Financial Technology in Real Estate International Money Transfers , by Region USD Million (2023-2028)
  • Table 83. Financial Technology in Real Estate Personal Finance , by Region USD Million (2023-2028)
  • Table 84. Financial Technology in Real Estate Consumer Banking , by Region USD Million (2023-2028)
  • Table 85. Financial Technology in Real Estate Insurance , by Region USD Million (2023-2028)
  • Table 86. Financial Technology in Real Estate Others , by Region USD Million (2023-2028)
  • Table 87. Financial Technology in Real Estate: by Category(USD Million)
  • Table 88. Financial Technology in Real Estate Digital Lending , by Region USD Million (2023-2028)
  • Table 89. Financial Technology in Real Estate Payments , by Region USD Million (2023-2028)
  • Table 90. Financial Technology in Real Estate Blockchain , by Region USD Million (2023-2028)
  • Table 91. Financial Technology in Real Estate Digital Wealth Management , by Region USD Million (2023-2028)
  • Table 92. South America Financial Technology in Real Estate, by Country USD Million (2023-2028)
  • Table 93. South America Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 94. South America Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 95. Brazil Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 96. Brazil Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 97. Argentina Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 98. Argentina Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 99. Rest of South America Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 100. Rest of South America Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 101. Asia Pacific Financial Technology in Real Estate, by Country USD Million (2023-2028)
  • Table 102. Asia Pacific Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 103. Asia Pacific Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 104. China Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 105. China Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 106. Japan Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 107. Japan Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 108. India Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 109. India Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 110. South Korea Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 111. South Korea Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 112. Australia Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 113. Australia Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 114. Rest of Asia-Pacific Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 115. Rest of Asia-Pacific Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 116. Europe Financial Technology in Real Estate, by Country USD Million (2023-2028)
  • Table 117. Europe Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 118. Europe Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 119. Germany Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 120. Germany Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 121. France Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 122. France Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 123. Italy Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 124. Italy Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 125. United Kingdom Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 126. United Kingdom Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 127. Netherlands Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 128. Netherlands Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 129. Rest of Europe Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 130. Rest of Europe Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 131. MEA Financial Technology in Real Estate, by Country USD Million (2023-2028)
  • Table 132. MEA Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 133. MEA Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 134. Middle East Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 135. Middle East Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 136. Africa Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 137. Africa Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 138. North America Financial Technology in Real Estate, by Country USD Million (2023-2028)
  • Table 139. North America Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 140. North America Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 141. United States Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 142. United States Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 143. Canada Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 144. Canada Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 145. Mexico Financial Technology in Real Estate, by Type USD Million (2023-2028)
  • Table 146. Mexico Financial Technology in Real Estate, by Category USD Million (2023-2028)
  • Table 147. Research Programs/Design for This Report
  • Table 148. Key Data Information from Secondary Sources
  • Table 149. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Financial Technology in Real Estate: by Type USD Million (2017-2022)
  • Figure 5. Global Financial Technology in Real Estate: by Category USD Million (2017-2022)
  • Figure 6. South America Financial Technology in Real Estate Share (%), by Country
  • Figure 7. Asia Pacific Financial Technology in Real Estate Share (%), by Country
  • Figure 8. Europe Financial Technology in Real Estate Share (%), by Country
  • Figure 9. MEA Financial Technology in Real Estate Share (%), by Country
  • Figure 10. North America Financial Technology in Real Estate Share (%), by Country
  • Figure 11. Global Financial Technology in Real Estate share by Players 2022 (%)
  • Figure 12. Global Financial Technology in Real Estate share by Players (Top 3) 2022(%)
  • Figure 13. Global Financial Technology in Real Estate share by Players (Top 5) 2022(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Zillow Group (United States) Revenue, Net Income and Gross profit
  • Figure 16. Zillow Group (United States) Revenue: by Geography 2022
  • Figure 17. Cadre (United States) Revenue, Net Income and Gross profit
  • Figure 18. Cadre (United States) Revenue: by Geography 2022
  • Figure 19. Fiserv (United States) Revenue, Net Income and Gross profit
  • Figure 20. Fiserv (United States) Revenue: by Geography 2022
  • Figure 21. Divvy Homes (United States) Revenue, Net Income and Gross profit
  • Figure 22. Divvy Homes (United States) Revenue: by Geography 2022
  • Figure 23. Opendoor (United States) Revenue, Net Income and Gross profit
  • Figure 24. Opendoor (United States) Revenue: by Geography 2022
  • Figure 25. Generation Home (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 26. Generation Home (United Kingdom) Revenue: by Geography 2022
  • Figure 27. LendInvest (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. LendInvest (United Kingdom) Revenue: by Geography 2022
  • Figure 29. Roofstock (United States) Revenue, Net Income and Gross profit
  • Figure 30. Roofstock (United States) Revenue: by Geography 2022
  • Figure 31. YOURKEYS (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. YOURKEYS (United Kingdom) Revenue: by Geography 2022
  • Figure 33. EMOOV (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. EMOOV (United Kingdom) Revenue: by Geography 2022
  • Figure 35. Global Financial Technology in Real Estate: by Type USD Million (2023-2028)
  • Figure 36. Global Financial Technology in Real Estate: by Category USD Million (2023-2028)
  • Figure 37. South America Financial Technology in Real Estate Share (%), by Country
  • Figure 38. Asia Pacific Financial Technology in Real Estate Share (%), by Country
  • Figure 39. Europe Financial Technology in Real Estate Share (%), by Country
  • Figure 40. MEA Financial Technology in Real Estate Share (%), by Country
  • Figure 41. North America Financial Technology in Real Estate Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Zillow Group (United States)
  • Cadre (United States)
  • Fiserv (United States)
  • Divvy Homes (United States)
  • Opendoor (United States)
  • Generation Home (United Kingdom)
  • LendInvest (United Kingdom)
  • Roofstock (United States)
  • YOURKEYS (United Kingdom)
  • EMOOV (United Kingdom)
Additional players considered in the study are as follows:
SS&C Technologies Holdings (United States) , Fair Isaac Corporation (United States)
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Oct 2023 247 Pages 84 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Zillow Group (United States), Cadre (United States), Fiserv (United States), Divvy Homes (United States), Opendoor (United States), Generation Home (United Kingdom), LendInvest (United Kingdom), Roofstock (United States), YOURKEYS (United Kingdom) and EMOOV (United Kingdom) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Artificial Intelligence for Real Estate " is seen as one of major influencing trends for Financial Technology in Real Estate Market during projected period 2022-2028.
The Financial Technology in Real Estate market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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