Global Alternative Data Market

Alternative Data Comprehensive Study by Type (Location, Product, Credit Card Transaction, Web Data, Satellite Imagery, Freight Data, Others), End-User Type (Investment Institution, Consumer Industries, Hedge Fund Operators, Others), Data Granularity Type (Aggregated, Row Level), Organization Type (Small, Medium, Large), Industry Category (Fashion, Beauty, Marketing, Technology, Science, Sports, Luxury, Others) Players and Region - Global Market Outlook to 2028

Alternative Data Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Alternative Data Market Scope
Alternative data is collected by unconventional sources such as product review, credit card transaction and many others sources. In other terms its web scraping services from every possible source in unstructured manner. Alternative data with advance technological advancement have massive advantages in finance and trading sectors and also helped business to overview the market. High demand of timely, refined and unique data give huge drive to alternative data market

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies Profiled1010data, Inc. (United States), Preqin (United Kingdom), Dataminr (United States), Advan Research Corporation (United States), Raven Pack (Spain), S&P Global (United States), M Science LLC (United States), Earnest Analytics (United States), Eagle Alpha (Ireland), Thinknum Alternative Data (United States), Exploding Topics (United States), Infutor Data Solutions, LLC (United States), Greenwich.HR (United States) and Quiver Quantitative (United States)
CAGR%


Alternative data market is a consolidated market due to the presence of few players. Companies are focusing on developing innovative products and solutions to improve quality, enhances and promotes performance, along with try to incorporate latest technology AI. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launch, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge

1010data, Inc. (United States), Preqin (United Kingdom), Dataminr (United States), Advan Research Corporation (United States), Raven Pack (Spain), S&P Global (United States), M Science LLC (United States), Earnest Analytics (United States), Eagle Alpha (Ireland), Thinknum Alternative Data (United States), Exploding Topics (United States), Infutor Data Solutions, LLC (United States), Greenwich.HR (United States) and Quiver Quantitative (United States) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global Alternative Data market by Type and Region with country level break-up.

On the basis of geography, the market of Alternative Data 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). region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies
In September 2022, Coresight Research acquired Alternative Data Analytics, data strategy and insights firm. Coresight Research is research, data, events and advisory services for consumer-facing retail technology Provider. This helped coresight to expand its data capabilities and data-driven research. This acquisition helped company to expand its presence in alternative data market
In October 2020, 1010data partnered with Exabel to provide investment managers with personal data science team. This empowered hedge funds & asset managers. This new product word with alternative data expertise, user interface and data science platform and create insightful dashboards. This partnership helped company to expand its presence in alternative data market


Influencing Trend:
Increasing Used Of Alternative Data for Stock Trading

Market Growth Drivers:
Rising Demand for Alternative Data for Its Advanced Financial and Credit Inclusion Data, High Demand of Timely, Refined and Unique Data, Surge for Data Analytics for risk management, Growing Demand for Alternative Data by Consumer Industry and Increasing Source of Data Due to Expansion of Internet

Challenges:
Lack of Availability or Recovery of Historical Data

Restraints:
Stringent Data Protection Regulation

Opportunities:
Increasing Technological Advancement in Collection of Alternative Data Such as Use of AI

Key Target Audience
Alternative Data Provider, Government Bodies, Regulatory Bodies, Potential Investors, Research and Development Institutes, End Users and Others

Report Objectives / Segmentation Covered

By Type
  • Location
  • Product
  • Credit Card Transaction
  • Web Data
  • Satellite Imagery
  • Freight Data
  • Others
By End-User Type
  • Investment Institution
  • Consumer Industries
  • Hedge Fund Operators
  • Others

By Data Granularity Type
  • Aggregated
  • Row Level

By Organization Type
  • Small
  • Medium
  • Large

By Industry Category
  • Fashion
  • Beauty
  • Marketing
  • Technology
  • Science
  • Sports
  • Luxury
  • 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. Rising Demand for Alternative Data for Its Advanced Financial and Credit Inclusion Data
      • 3.2.2. High Demand of Timely, Refined and Unique Data
      • 3.2.3. Surge for Data Analytics for risk management
      • 3.2.4. Growing Demand for Alternative Data by Consumer Industry
      • 3.2.5. Increasing Source of Data Due to Expansion of Internet
    • 3.3. Market Challenges
      • 3.3.1. Lack of Availability or Recovery of Historical Data
    • 3.4. Market Trends
      • 3.4.1. Increasing Used Of Alternative Data for Stock Trading
  • 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 Alternative Data, by Type, End-User Type, Data Granularity Type, Organization Type, Industry Category and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Alternative Data (Value)
      • 5.2.1. Global Alternative Data by: Type (Value)
        • 5.2.1.1. Location
        • 5.2.1.2. Product
        • 5.2.1.3. Credit Card Transaction
        • 5.2.1.4. Web Data
        • 5.2.1.5. Satellite Imagery
        • 5.2.1.6. Freight Data
        • 5.2.1.7. Others
      • 5.2.2. Global Alternative Data by: End-User Type (Value)
        • 5.2.2.1. Investment Institution
        • 5.2.2.2. Consumer Industries
        • 5.2.2.3. Hedge Fund Operators
        • 5.2.2.4. Others
      • 5.2.3. Global Alternative Data by: Data Granularity Type (Value)
        • 5.2.3.1. Aggregated
        • 5.2.3.2. Row Level
      • 5.2.4. Global Alternative Data by: Organization Type (Value)
        • 5.2.4.1. Small
        • 5.2.4.2. Medium
        • 5.2.4.3. Large
      • 5.2.5. Global Alternative Data Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Alternative Data: 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. 1010data, Inc. (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. Preqin (United Kingdom)
        • 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. Dataminr (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. Advan Research Corporation (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. Raven Pack (Spain)
        • 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. S&P Global (United States)
        • 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. M Science LLC (United States)
        • 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. Earnest Analytics (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. Eagle Alpha (Ireland)
        • 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. Thinknum Alternative Data (United States)
        • 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
      • 6.4.11. Exploding Topics (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Infutor Data Solutions, LLC (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Greenwich.HR (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Quiver Quantitative (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
  • 7. Global Alternative Data Sale, by Type, End-User Type, Data Granularity Type, Organization Type, Industry Category and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Alternative Data (Value)
      • 7.2.1. Global Alternative Data by: Type (Value)
        • 7.2.1.1. Location
        • 7.2.1.2. Product
        • 7.2.1.3. Credit Card Transaction
        • 7.2.1.4. Web Data
        • 7.2.1.5. Satellite Imagery
        • 7.2.1.6. Freight Data
        • 7.2.1.7. Others
      • 7.2.2. Global Alternative Data by: End-User Type (Value)
        • 7.2.2.1. Investment Institution
        • 7.2.2.2. Consumer Industries
        • 7.2.2.3. Hedge Fund Operators
        • 7.2.2.4. Others
      • 7.2.3. Global Alternative Data by: Data Granularity Type (Value)
        • 7.2.3.1. Aggregated
        • 7.2.3.2. Row Level
      • 7.2.4. Global Alternative Data by: Organization Type (Value)
        • 7.2.4.1. Small
        • 7.2.4.2. Medium
        • 7.2.4.3. Large
      • 7.2.5. Global Alternative Data Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. 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. Alternative Data: by Type(USD Million)
  • Table 2. Alternative Data Location , by Region USD Million (2017-2022)
  • Table 3. Alternative Data Product , by Region USD Million (2017-2022)
  • Table 4. Alternative Data Credit Card Transaction , by Region USD Million (2017-2022)
  • Table 5. Alternative Data Web Data , by Region USD Million (2017-2022)
  • Table 6. Alternative Data Satellite Imagery , by Region USD Million (2017-2022)
  • Table 7. Alternative Data Freight Data , by Region USD Million (2017-2022)
  • Table 8. Alternative Data Others , by Region USD Million (2017-2022)
  • Table 9. Alternative Data: by End-User Type(USD Million)
  • Table 10. Alternative Data Investment Institution , by Region USD Million (2017-2022)
  • Table 11. Alternative Data Consumer Industries , by Region USD Million (2017-2022)
  • Table 12. Alternative Data Hedge Fund Operators , by Region USD Million (2017-2022)
  • Table 13. Alternative Data Others , by Region USD Million (2017-2022)
  • Table 14. Alternative Data: by Data Granularity Type(USD Million)
  • Table 15. Alternative Data Aggregated , by Region USD Million (2017-2022)
  • Table 16. Alternative Data Row Level , by Region USD Million (2017-2022)
  • Table 17. Alternative Data: by Organization Type(USD Million)
  • Table 18. Alternative Data Small , by Region USD Million (2017-2022)
  • Table 19. Alternative Data Medium , by Region USD Million (2017-2022)
  • Table 20. Alternative Data Large , by Region USD Million (2017-2022)
  • Table 21. South America Alternative Data, by Country USD Million (2017-2022)
  • Table 22. South America Alternative Data, by Type USD Million (2017-2022)
  • Table 23. South America Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 24. South America Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 25. South America Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 26. South America Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 27. Brazil Alternative Data, by Type USD Million (2017-2022)
  • Table 28. Brazil Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 29. Brazil Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 30. Brazil Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 31. Brazil Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 32. Argentina Alternative Data, by Type USD Million (2017-2022)
  • Table 33. Argentina Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 34. Argentina Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 35. Argentina Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 36. Argentina Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 37. Rest of South America Alternative Data, by Type USD Million (2017-2022)
  • Table 38. Rest of South America Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 39. Rest of South America Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 40. Rest of South America Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 41. Rest of South America Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 42. Asia Pacific Alternative Data, by Country USD Million (2017-2022)
  • Table 43. Asia Pacific Alternative Data, by Type USD Million (2017-2022)
  • Table 44. Asia Pacific Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 45. Asia Pacific Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 46. Asia Pacific Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 47. Asia Pacific Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 48. China Alternative Data, by Type USD Million (2017-2022)
  • Table 49. China Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 50. China Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 51. China Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 52. China Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 53. Japan Alternative Data, by Type USD Million (2017-2022)
  • Table 54. Japan Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 55. Japan Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 56. Japan Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 57. Japan Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 58. India Alternative Data, by Type USD Million (2017-2022)
  • Table 59. India Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 60. India Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 61. India Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 62. India Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 63. South Korea Alternative Data, by Type USD Million (2017-2022)
  • Table 64. South Korea Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 65. South Korea Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 66. South Korea Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 67. South Korea Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 68. Taiwan Alternative Data, by Type USD Million (2017-2022)
  • Table 69. Taiwan Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 70. Taiwan Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 71. Taiwan Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 72. Taiwan Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 73. Australia Alternative Data, by Type USD Million (2017-2022)
  • Table 74. Australia Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 75. Australia Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 76. Australia Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 77. Australia Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 78. Rest of Asia-Pacific Alternative Data, by Type USD Million (2017-2022)
  • Table 79. Rest of Asia-Pacific Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 80. Rest of Asia-Pacific Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 81. Rest of Asia-Pacific Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 82. Rest of Asia-Pacific Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 83. Europe Alternative Data, by Country USD Million (2017-2022)
  • Table 84. Europe Alternative Data, by Type USD Million (2017-2022)
  • Table 85. Europe Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 86. Europe Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 87. Europe Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 88. Europe Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 89. Germany Alternative Data, by Type USD Million (2017-2022)
  • Table 90. Germany Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 91. Germany Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 92. Germany Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 93. Germany Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 94. France Alternative Data, by Type USD Million (2017-2022)
  • Table 95. France Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 96. France Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 97. France Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 98. France Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 99. Italy Alternative Data, by Type USD Million (2017-2022)
  • Table 100. Italy Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 101. Italy Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 102. Italy Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 103. Italy Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 104. United Kingdom Alternative Data, by Type USD Million (2017-2022)
  • Table 105. United Kingdom Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 106. United Kingdom Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 107. United Kingdom Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 108. United Kingdom Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 109. Netherlands Alternative Data, by Type USD Million (2017-2022)
  • Table 110. Netherlands Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 111. Netherlands Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 112. Netherlands Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 113. Netherlands Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 114. Rest of Europe Alternative Data, by Type USD Million (2017-2022)
  • Table 115. Rest of Europe Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 116. Rest of Europe Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 117. Rest of Europe Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 118. Rest of Europe Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 119. MEA Alternative Data, by Country USD Million (2017-2022)
  • Table 120. MEA Alternative Data, by Type USD Million (2017-2022)
  • Table 121. MEA Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 122. MEA Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 123. MEA Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 124. MEA Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 125. Middle East Alternative Data, by Type USD Million (2017-2022)
  • Table 126. Middle East Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 127. Middle East Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 128. Middle East Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 129. Middle East Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 130. Africa Alternative Data, by Type USD Million (2017-2022)
  • Table 131. Africa Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 132. Africa Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 133. Africa Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 134. Africa Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 135. North America Alternative Data, by Country USD Million (2017-2022)
  • Table 136. North America Alternative Data, by Type USD Million (2017-2022)
  • Table 137. North America Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 138. North America Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 139. North America Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 140. North America Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 141. United States Alternative Data, by Type USD Million (2017-2022)
  • Table 142. United States Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 143. United States Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 144. United States Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 145. United States Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 146. Canada Alternative Data, by Type USD Million (2017-2022)
  • Table 147. Canada Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 148. Canada Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 149. Canada Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 150. Canada Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 151. Mexico Alternative Data, by Type USD Million (2017-2022)
  • Table 152. Mexico Alternative Data, by End-User Type USD Million (2017-2022)
  • Table 153. Mexico Alternative Data, by Data Granularity Type USD Million (2017-2022)
  • Table 154. Mexico Alternative Data, by Organization Type USD Million (2017-2022)
  • Table 155. Mexico Alternative Data, by Industry Category USD Million (2017-2022)
  • Table 156. Company Basic Information, Sales Area and Its Competitors
  • Table 157. Company Basic Information, Sales Area and Its Competitors
  • Table 158. Company Basic Information, Sales Area and Its Competitors
  • Table 159. Company Basic Information, Sales Area and Its Competitors
  • Table 160. Company Basic Information, Sales Area and Its Competitors
  • Table 161. Company Basic Information, Sales Area and Its Competitors
  • Table 162. Company Basic Information, Sales Area and Its Competitors
  • Table 163. Company Basic Information, Sales Area and Its Competitors
  • Table 164. Company Basic Information, Sales Area and Its Competitors
  • Table 165. Company Basic Information, Sales Area and Its Competitors
  • Table 166. Company Basic Information, Sales Area and Its Competitors
  • Table 167. Company Basic Information, Sales Area and Its Competitors
  • Table 168. Company Basic Information, Sales Area and Its Competitors
  • Table 169. Company Basic Information, Sales Area and Its Competitors
  • Table 170. Alternative Data: by Type(USD Million)
  • Table 171. Alternative Data Location , by Region USD Million (2023-2028)
  • Table 172. Alternative Data Product , by Region USD Million (2023-2028)
  • Table 173. Alternative Data Credit Card Transaction , by Region USD Million (2023-2028)
  • Table 174. Alternative Data Web Data , by Region USD Million (2023-2028)
  • Table 175. Alternative Data Satellite Imagery , by Region USD Million (2023-2028)
  • Table 176. Alternative Data Freight Data , by Region USD Million (2023-2028)
  • Table 177. Alternative Data Others , by Region USD Million (2023-2028)
  • Table 178. Alternative Data: by End-User Type(USD Million)
  • Table 179. Alternative Data Investment Institution , by Region USD Million (2023-2028)
  • Table 180. Alternative Data Consumer Industries , by Region USD Million (2023-2028)
  • Table 181. Alternative Data Hedge Fund Operators , by Region USD Million (2023-2028)
  • Table 182. Alternative Data Others , by Region USD Million (2023-2028)
  • Table 183. Alternative Data: by Data Granularity Type(USD Million)
  • Table 184. Alternative Data Aggregated , by Region USD Million (2023-2028)
  • Table 185. Alternative Data Row Level , by Region USD Million (2023-2028)
  • Table 186. Alternative Data: by Organization Type(USD Million)
  • Table 187. Alternative Data Small , by Region USD Million (2023-2028)
  • Table 188. Alternative Data Medium , by Region USD Million (2023-2028)
  • Table 189. Alternative Data Large , by Region USD Million (2023-2028)
  • Table 190. South America Alternative Data, by Country USD Million (2023-2028)
  • Table 191. South America Alternative Data, by Type USD Million (2023-2028)
  • Table 192. South America Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 193. South America Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 194. South America Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 195. South America Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 196. Brazil Alternative Data, by Type USD Million (2023-2028)
  • Table 197. Brazil Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 198. Brazil Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 199. Brazil Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 200. Brazil Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 201. Argentina Alternative Data, by Type USD Million (2023-2028)
  • Table 202. Argentina Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 203. Argentina Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 204. Argentina Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 205. Argentina Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 206. Rest of South America Alternative Data, by Type USD Million (2023-2028)
  • Table 207. Rest of South America Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 208. Rest of South America Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 209. Rest of South America Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 210. Rest of South America Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 211. Asia Pacific Alternative Data, by Country USD Million (2023-2028)
  • Table 212. Asia Pacific Alternative Data, by Type USD Million (2023-2028)
  • Table 213. Asia Pacific Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 214. Asia Pacific Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 215. Asia Pacific Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 216. Asia Pacific Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 217. China Alternative Data, by Type USD Million (2023-2028)
  • Table 218. China Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 219. China Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 220. China Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 221. China Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 222. Japan Alternative Data, by Type USD Million (2023-2028)
  • Table 223. Japan Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 224. Japan Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 225. Japan Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 226. Japan Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 227. India Alternative Data, by Type USD Million (2023-2028)
  • Table 228. India Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 229. India Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 230. India Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 231. India Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 232. South Korea Alternative Data, by Type USD Million (2023-2028)
  • Table 233. South Korea Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 234. South Korea Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 235. South Korea Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 236. South Korea Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 237. Taiwan Alternative Data, by Type USD Million (2023-2028)
  • Table 238. Taiwan Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 239. Taiwan Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 240. Taiwan Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 241. Taiwan Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 242. Australia Alternative Data, by Type USD Million (2023-2028)
  • Table 243. Australia Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 244. Australia Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 245. Australia Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 246. Australia Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 247. Rest of Asia-Pacific Alternative Data, by Type USD Million (2023-2028)
  • Table 248. Rest of Asia-Pacific Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 249. Rest of Asia-Pacific Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 250. Rest of Asia-Pacific Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 251. Rest of Asia-Pacific Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 252. Europe Alternative Data, by Country USD Million (2023-2028)
  • Table 253. Europe Alternative Data, by Type USD Million (2023-2028)
  • Table 254. Europe Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 255. Europe Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 256. Europe Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 257. Europe Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 258. Germany Alternative Data, by Type USD Million (2023-2028)
  • Table 259. Germany Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 260. Germany Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 261. Germany Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 262. Germany Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 263. France Alternative Data, by Type USD Million (2023-2028)
  • Table 264. France Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 265. France Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 266. France Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 267. France Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 268. Italy Alternative Data, by Type USD Million (2023-2028)
  • Table 269. Italy Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 270. Italy Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 271. Italy Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 272. Italy Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 273. United Kingdom Alternative Data, by Type USD Million (2023-2028)
  • Table 274. United Kingdom Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 275. United Kingdom Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 276. United Kingdom Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 277. United Kingdom Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 278. Netherlands Alternative Data, by Type USD Million (2023-2028)
  • Table 279. Netherlands Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 280. Netherlands Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 281. Netherlands Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 282. Netherlands Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 283. Rest of Europe Alternative Data, by Type USD Million (2023-2028)
  • Table 284. Rest of Europe Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 285. Rest of Europe Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 286. Rest of Europe Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 287. Rest of Europe Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 288. MEA Alternative Data, by Country USD Million (2023-2028)
  • Table 289. MEA Alternative Data, by Type USD Million (2023-2028)
  • Table 290. MEA Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 291. MEA Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 292. MEA Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 293. MEA Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 294. Middle East Alternative Data, by Type USD Million (2023-2028)
  • Table 295. Middle East Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 296. Middle East Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 297. Middle East Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 298. Middle East Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 299. Africa Alternative Data, by Type USD Million (2023-2028)
  • Table 300. Africa Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 301. Africa Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 302. Africa Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 303. Africa Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 304. North America Alternative Data, by Country USD Million (2023-2028)
  • Table 305. North America Alternative Data, by Type USD Million (2023-2028)
  • Table 306. North America Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 307. North America Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 308. North America Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 309. North America Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 310. United States Alternative Data, by Type USD Million (2023-2028)
  • Table 311. United States Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 312. United States Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 313. United States Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 314. United States Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 315. Canada Alternative Data, by Type USD Million (2023-2028)
  • Table 316. Canada Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 317. Canada Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 318. Canada Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 319. Canada Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 320. Mexico Alternative Data, by Type USD Million (2023-2028)
  • Table 321. Mexico Alternative Data, by End-User Type USD Million (2023-2028)
  • Table 322. Mexico Alternative Data, by Data Granularity Type USD Million (2023-2028)
  • Table 323. Mexico Alternative Data, by Organization Type USD Million (2023-2028)
  • Table 324. Mexico Alternative Data, by Industry Category USD Million (2023-2028)
  • Table 325. Research Programs/Design for This Report
  • Table 326. Key Data Information from Secondary Sources
  • Table 327. 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 Alternative Data: by Type USD Million (2017-2022)
  • Figure 5. Global Alternative Data: by End-User Type USD Million (2017-2022)
  • Figure 6. Global Alternative Data: by Data Granularity Type USD Million (2017-2022)
  • Figure 7. Global Alternative Data: by Organization Type USD Million (2017-2022)
  • Figure 8. South America Alternative Data Share (%), by Country
  • Figure 9. Asia Pacific Alternative Data Share (%), by Country
  • Figure 10. Europe Alternative Data Share (%), by Country
  • Figure 11. MEA Alternative Data Share (%), by Country
  • Figure 12. North America Alternative Data Share (%), by Country
  • Figure 13. Global Alternative Data share by Players 2022 (%)
  • Figure 14. Global Alternative Data share by Players (Top 3) 2022(%)
  • Figure 15. Global Alternative Data share by Players (Top 5) 2022(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. 1010data, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 18. 1010data, Inc. (United States) Revenue: by Geography 2022
  • Figure 19. Preqin (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 20. Preqin (United Kingdom) Revenue: by Geography 2022
  • Figure 21. Dataminr (United States) Revenue, Net Income and Gross profit
  • Figure 22. Dataminr (United States) Revenue: by Geography 2022
  • Figure 23. Advan Research Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Advan Research Corporation (United States) Revenue: by Geography 2022
  • Figure 25. Raven Pack (Spain) Revenue, Net Income and Gross profit
  • Figure 26. Raven Pack (Spain) Revenue: by Geography 2022
  • Figure 27. S&P Global (United States) Revenue, Net Income and Gross profit
  • Figure 28. S&P Global (United States) Revenue: by Geography 2022
  • Figure 29. M Science LLC (United States) Revenue, Net Income and Gross profit
  • Figure 30. M Science LLC (United States) Revenue: by Geography 2022
  • Figure 31. Earnest Analytics (United States) Revenue, Net Income and Gross profit
  • Figure 32. Earnest Analytics (United States) Revenue: by Geography 2022
  • Figure 33. Eagle Alpha (Ireland) Revenue, Net Income and Gross profit
  • Figure 34. Eagle Alpha (Ireland) Revenue: by Geography 2022
  • Figure 35. Thinknum Alternative Data (United States) Revenue, Net Income and Gross profit
  • Figure 36. Thinknum Alternative Data (United States) Revenue: by Geography 2022
  • Figure 37. Exploding Topics (United States) Revenue, Net Income and Gross profit
  • Figure 38. Exploding Topics (United States) Revenue: by Geography 2022
  • Figure 39. Infutor Data Solutions, LLC (United States) Revenue, Net Income and Gross profit
  • Figure 40. Infutor Data Solutions, LLC (United States) Revenue: by Geography 2022
  • Figure 41. Greenwich.HR (United States) Revenue, Net Income and Gross profit
  • Figure 42. Greenwich.HR (United States) Revenue: by Geography 2022
  • Figure 43. Quiver Quantitative (United States) Revenue, Net Income and Gross profit
  • Figure 44. Quiver Quantitative (United States) Revenue: by Geography 2022
  • Figure 45. Global Alternative Data: by Type USD Million (2023-2028)
  • Figure 46. Global Alternative Data: by End-User Type USD Million (2023-2028)
  • Figure 47. Global Alternative Data: by Data Granularity Type USD Million (2023-2028)
  • Figure 48. Global Alternative Data: by Organization Type USD Million (2023-2028)
  • Figure 49. South America Alternative Data Share (%), by Country
  • Figure 50. Asia Pacific Alternative Data Share (%), by Country
  • Figure 51. Europe Alternative Data Share (%), by Country
  • Figure 52. MEA Alternative Data Share (%), by Country
  • Figure 53. North America Alternative Data Share (%), by Country
List of companies from research coverage that are profiled in the study
  • 1010data, Inc. (United States)
  • Preqin (United Kingdom)
  • Dataminr (United States)
  • Advan Research Corporation (United States)
  • Raven Pack (Spain)
  • S&P Global (United States)
  • M Science LLC (United States)
  • Earnest Analytics (United States)
  • Eagle Alpha (Ireland)
  • Thinknum Alternative Data (United States)
  • Exploding Topics (United States)
  • Infutor Data Solutions, LLC (United States)
  • Greenwich.HR (United States)
  • Quiver Quantitative (United States)
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Key Highlights of Report


Jun 2023 205 Pages 60 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Alternative Data Market Quantitative research analysis
Global Alternative Data Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Alternative Data Market are by type [Location, Product, Credit Card Transaction, Web Data, Satellite Imagery, Freight Data and Others], by end use application [].
The Alternative Data Market is gaining popularity and expected to see strong valuation by 2028.
  • Rising Demand for Alternative Data for Its Advanced Financial and Credit Inclusion Data
  • High Demand of Timely, Refined and Unique Data
  • Surge for Data Analytics for risk management
  • Growing Demand for Alternative Data by Consumer Industry
  • Increasing Source of Data Due to Expansion of Internet

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