FinTech 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), End User (Commercial, Household, Corporate, Property dealer, Property Owner, Others) Players and Region - Global Market Outlook to 2027

FinTech in Real Estate Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About FinTech in Real Estate
Fintech is a buyer industry with the potential to disrupt the lending market through innovation. FinTech in Real estate is a rapidly growing industry, and with the help of Fintech, it is expected to expand. Through the evaluation and purchase of real estate, FinTech in real Estate contributes to cost savings, reduced friction, and increased investment opportunities. Fintechs 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 Period2017-2027
Base Year2021
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 fintech 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 FinTech 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 FinTech 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 FinTech in Real Estate has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, 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 FinTech in Real Estate market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Commercial will boost the FinTech in Real Estate market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

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 Fintech 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 fintech 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.

Market Drivers
  • Fintech Supporting Paperless Operation in Real Estate
  • Fintech Enabling Easy and Accurate Transactions.

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

Restraints
  • High Risk of Possibility of Fraud in Real Estate

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


Key Target Audience
Fintech provider, Fintech 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 the 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 purpose to understand company’s positioning regarding 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 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, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes 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 End User
  • Commercial
  • Household
  • Corporate
  • Property dealer
  • Property Owner
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • 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. Fintech Supporting Paperless Operation in Real Estate
      • 3.2.2. Fintech 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 FinTech in Real Estate, by Type, Category, End User and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global FinTech in Real Estate (Value)
      • 5.2.1. Global FinTech 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 FinTech 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 FinTech in Real Estate by: End User (Value)
        • 5.2.3.1. Commercial
        • 5.2.3.2. Household
        • 5.2.3.3. Corporate
        • 5.2.3.4. Property dealer
        • 5.2.3.5. Property Owner
        • 5.2.3.6. Others
      • 5.2.4. Global FinTech in Real Estate Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global FinTech in Real Estate (Price)
      • 5.3.1. Global FinTech in Real Estate by: Type (Price)
  • 6. FinTech 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 (2021)
    • 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 FinTech in Real Estate Sale, by Type, Category, End User and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global FinTech in Real Estate (Value)
      • 7.2.1. Global FinTech 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 FinTech 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 FinTech in Real Estate by: End User (Value)
        • 7.2.3.1. Commercial
        • 7.2.3.2. Household
        • 7.2.3.3. Corporate
        • 7.2.3.4. Property dealer
        • 7.2.3.5. Property Owner
        • 7.2.3.6. Others
      • 7.2.4. Global FinTech in Real Estate Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global FinTech in Real Estate (Price)
      • 7.3.1. Global FinTech in Real Estate by: Type (Price)
  • 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. FinTech in Real Estate: by Type(USD Million)
  • Table 2. FinTech in Real Estate Lending , by Region USD Million (2016-2021)
  • Table 3. FinTech in Real Estate Payments , by Region USD Million (2016-2021)
  • Table 4. FinTech in Real Estate International Money Transfers , by Region USD Million (2016-2021)
  • Table 5. FinTech in Real Estate Personal Finance , by Region USD Million (2016-2021)
  • Table 6. FinTech in Real Estate Consumer Banking , by Region USD Million (2016-2021)
  • Table 7. FinTech in Real Estate Insurance , by Region USD Million (2016-2021)
  • Table 8. FinTech in Real Estate Others , by Region USD Million (2016-2021)
  • Table 9. FinTech in Real Estate: by Category(USD Million)
  • Table 10. FinTech in Real Estate Digital lending , by Region USD Million (2016-2021)
  • Table 11. FinTech in Real Estate Payments , by Region USD Million (2016-2021)
  • Table 12. FinTech in Real Estate Blockchain , by Region USD Million (2016-2021)
  • Table 13. FinTech in Real Estate Digital wealth management , by Region USD Million (2016-2021)
  • Table 14. FinTech in Real Estate: by End User(USD Million)
  • Table 15. FinTech in Real Estate Commercial , by Region USD Million (2016-2021)
  • Table 16. FinTech in Real Estate Household , by Region USD Million (2016-2021)
  • Table 17. FinTech in Real Estate Corporate , by Region USD Million (2016-2021)
  • Table 18. FinTech in Real Estate Property dealer , by Region USD Million (2016-2021)
  • Table 19. FinTech in Real Estate Property Owner , by Region USD Million (2016-2021)
  • Table 20. FinTech in Real Estate Others , by Region USD Million (2016-2021)
  • Table 21. South America FinTech in Real Estate, by Country USD Million (2016-2021)
  • Table 22. South America FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 23. South America FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 24. South America FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 25. Brazil FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 26. Brazil FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 27. Brazil FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 28. Argentina FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 29. Argentina FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 30. Argentina FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 31. Rest of South America FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 32. Rest of South America FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 33. Rest of South America FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 34. Asia Pacific FinTech in Real Estate, by Country USD Million (2016-2021)
  • Table 35. Asia Pacific FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 36. Asia Pacific FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 37. Asia Pacific FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 38. China FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 39. China FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 40. China FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 41. Japan FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 42. Japan FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 43. Japan FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 44. India FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 45. India FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 46. India FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 47. South Korea FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 48. South Korea FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 49. South Korea FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 50. Taiwan FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 51. Taiwan FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 52. Taiwan FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 53. Australia FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 54. Australia FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 55. Australia FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 56. Rest of Asia-Pacific FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 57. Rest of Asia-Pacific FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 58. Rest of Asia-Pacific FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 59. Europe FinTech in Real Estate, by Country USD Million (2016-2021)
  • Table 60. Europe FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 61. Europe FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 62. Europe FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 63. Germany FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 64. Germany FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 65. Germany FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 66. France FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 67. France FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 68. France FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 69. Italy FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 70. Italy FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 71. Italy FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 72. United Kingdom FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 73. United Kingdom FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 74. United Kingdom FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 75. Netherlands FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 76. Netherlands FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 77. Netherlands FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 78. Rest of Europe FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 79. Rest of Europe FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 80. Rest of Europe FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 81. MEA FinTech in Real Estate, by Country USD Million (2016-2021)
  • Table 82. MEA FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 83. MEA FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 84. MEA FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 85. Middle East FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 86. Middle East FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 87. Middle East FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 88. Africa FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 89. Africa FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 90. Africa FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 91. North America FinTech in Real Estate, by Country USD Million (2016-2021)
  • Table 92. North America FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 93. North America FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 94. North America FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 95. United States FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 96. United States FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 97. United States FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 98. Canada FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 99. Canada FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 100. Canada FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 101. Mexico FinTech in Real Estate, by Type USD Million (2016-2021)
  • Table 102. Mexico FinTech in Real Estate, by Category USD Million (2016-2021)
  • Table 103. Mexico FinTech in Real Estate, by End User USD Million (2016-2021)
  • Table 104. FinTech in Real Estate: by Type(USD/Units)
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. FinTech in Real Estate: by Type(USD Million)
  • Table 116. FinTech in Real Estate Lending , by Region USD Million (2022-2027)
  • Table 117. FinTech in Real Estate Payments , by Region USD Million (2022-2027)
  • Table 118. FinTech in Real Estate International Money Transfers , by Region USD Million (2022-2027)
  • Table 119. FinTech in Real Estate Personal Finance , by Region USD Million (2022-2027)
  • Table 120. FinTech in Real Estate Consumer Banking , by Region USD Million (2022-2027)
  • Table 121. FinTech in Real Estate Insurance , by Region USD Million (2022-2027)
  • Table 122. FinTech in Real Estate Others , by Region USD Million (2022-2027)
  • Table 123. FinTech in Real Estate: by Category(USD Million)
  • Table 124. FinTech in Real Estate Digital lending , by Region USD Million (2022-2027)
  • Table 125. FinTech in Real Estate Payments , by Region USD Million (2022-2027)
  • Table 126. FinTech in Real Estate Blockchain , by Region USD Million (2022-2027)
  • Table 127. FinTech in Real Estate Digital wealth management , by Region USD Million (2022-2027)
  • Table 128. FinTech in Real Estate: by End User(USD Million)
  • Table 129. FinTech in Real Estate Commercial , by Region USD Million (2022-2027)
  • Table 130. FinTech in Real Estate Household , by Region USD Million (2022-2027)
  • Table 131. FinTech in Real Estate Corporate , by Region USD Million (2022-2027)
  • Table 132. FinTech in Real Estate Property dealer , by Region USD Million (2022-2027)
  • Table 133. FinTech in Real Estate Property Owner , by Region USD Million (2022-2027)
  • Table 134. FinTech in Real Estate Others , by Region USD Million (2022-2027)
  • Table 135. South America FinTech in Real Estate, by Country USD Million (2022-2027)
  • Table 136. South America FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 137. South America FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 138. South America FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 139. Brazil FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 140. Brazil FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 141. Brazil FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 142. Argentina FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 143. Argentina FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 144. Argentina FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 145. Rest of South America FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 146. Rest of South America FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 147. Rest of South America FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 148. Asia Pacific FinTech in Real Estate, by Country USD Million (2022-2027)
  • Table 149. Asia Pacific FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 150. Asia Pacific FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 151. Asia Pacific FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 152. China FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 153. China FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 154. China FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 155. Japan FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 156. Japan FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 157. Japan FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 158. India FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 159. India FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 160. India FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 161. South Korea FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 162. South Korea FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 163. South Korea FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 164. Taiwan FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 165. Taiwan FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 166. Taiwan FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 167. Australia FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 168. Australia FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 169. Australia FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 170. Rest of Asia-Pacific FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 171. Rest of Asia-Pacific FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 172. Rest of Asia-Pacific FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 173. Europe FinTech in Real Estate, by Country USD Million (2022-2027)
  • Table 174. Europe FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 175. Europe FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 176. Europe FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 177. Germany FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 178. Germany FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 179. Germany FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 180. France FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 181. France FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 182. France FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 183. Italy FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 184. Italy FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 185. Italy FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 186. United Kingdom FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 187. United Kingdom FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 188. United Kingdom FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 189. Netherlands FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 190. Netherlands FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 191. Netherlands FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 192. Rest of Europe FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 193. Rest of Europe FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 194. Rest of Europe FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 195. MEA FinTech in Real Estate, by Country USD Million (2022-2027)
  • Table 196. MEA FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 197. MEA FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 198. MEA FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 199. Middle East FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 200. Middle East FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 201. Middle East FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 202. Africa FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 203. Africa FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 204. Africa FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 205. North America FinTech in Real Estate, by Country USD Million (2022-2027)
  • Table 206. North America FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 207. North America FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 208. North America FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 209. United States FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 210. United States FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 211. United States FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 212. Canada FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 213. Canada FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 214. Canada FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 215. Mexico FinTech in Real Estate, by Type USD Million (2022-2027)
  • Table 216. Mexico FinTech in Real Estate, by Category USD Million (2022-2027)
  • Table 217. Mexico FinTech in Real Estate, by End User USD Million (2022-2027)
  • Table 218. FinTech in Real Estate: by Type(USD/Units)
  • Table 219. Research Programs/Design for This Report
  • Table 220. Key Data Information from Secondary Sources
  • Table 221. 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 FinTech in Real Estate: by Type USD Million (2016-2021)
  • Figure 5. Global FinTech in Real Estate: by Category USD Million (2016-2021)
  • Figure 6. Global FinTech in Real Estate: by End User USD Million (2016-2021)
  • Figure 7. South America FinTech in Real Estate Share (%), by Country
  • Figure 8. Asia Pacific FinTech in Real Estate Share (%), by Country
  • Figure 9. Europe FinTech in Real Estate Share (%), by Country
  • Figure 10. MEA FinTech in Real Estate Share (%), by Country
  • Figure 11. North America FinTech in Real Estate Share (%), by Country
  • Figure 12. Global FinTech in Real Estate: by Type USD/Units (2016-2021)
  • Figure 13. Global FinTech in Real Estate share by Players 2021 (%)
  • Figure 14. Global FinTech in Real Estate share by Players (Top 3) 2021(%)
  • Figure 15. Global FinTech in Real Estate share by Players (Top 5) 2021(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Zillow Group (United States) Revenue, Net Income and Gross profit
  • Figure 18. Zillow Group (United States) Revenue: by Geography 2021
  • Figure 19. Cadre (United States) Revenue, Net Income and Gross profit
  • Figure 20. Cadre (United States) Revenue: by Geography 2021
  • Figure 21. Fiserv (United States) Revenue, Net Income and Gross profit
  • Figure 22. Fiserv (United States) Revenue: by Geography 2021
  • Figure 23. Divvy Homes (United States) Revenue, Net Income and Gross profit
  • Figure 24. Divvy Homes (United States) Revenue: by Geography 2021
  • Figure 25. Opendoor (United States) Revenue, Net Income and Gross profit
  • Figure 26. Opendoor (United States) Revenue: by Geography 2021
  • Figure 27. Generation Home (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 28. Generation Home (United Kingdom) Revenue: by Geography 2021
  • Figure 29. LendInvest (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. LendInvest (United Kingdom) Revenue: by Geography 2021
  • Figure 31. Roofstock (United States) Revenue, Net Income and Gross profit
  • Figure 32. Roofstock (United States) Revenue: by Geography 2021
  • Figure 33. YOURKEYS (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. YOURKEYS (United Kingdom) Revenue: by Geography 2021
  • Figure 35. EMOOV (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 36. EMOOV (United Kingdom) Revenue: by Geography 2021
  • Figure 37. Global FinTech in Real Estate: by Type USD Million (2022-2027)
  • Figure 38. Global FinTech in Real Estate: by Category USD Million (2022-2027)
  • Figure 39. Global FinTech in Real Estate: by End User USD Million (2022-2027)
  • Figure 40. South America FinTech in Real Estate Share (%), by Country
  • Figure 41. Asia Pacific FinTech in Real Estate Share (%), by Country
  • Figure 42. Europe FinTech in Real Estate Share (%), by Country
  • Figure 43. MEA FinTech in Real Estate Share (%), by Country
  • Figure 44. North America FinTech in Real Estate Share (%), by Country
  • Figure 45. Global FinTech in Real Estate: by Type USD/Units (2022-2027)
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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Key Highlights of Report


Jul 2022 211 Pages 91 Tables Base Year: 2021 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 FinTech in Real Estate Market during projected period 2021-2027.
The FinTech 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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