Global Data Extraction Market

Data Extraction Comprehensive Study by Data Type (Unstructured, Semi-Structured, Structured), Enterprise Size (Small & Medium Enterprises, Large Enterprises), Deployment Type (On Premise, Cloud), Industry Vertical (IT & Telecommunication, Healthcare, Government, BFSI, Transportation & Logistics, Retail & E-commerce, Media & Entertainment, Others), Data Extraction Type (Update notification, Incremental extraction, Full extraction) Players and Region - Global Market Outlook to 2026

Data Extraction Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Data Extraction?
Data extraction is the process of obtaining data from a database which further replicated to a destination like data warehouse. It is designed to support online analytical processing (OLAP). Data extraction is the first step in a data ingestion process called ETL — extract, transform, and load. It involve retrieval of data from various sources. Growing preference for adopting data extraction platforms is driving the demand for market. However, complexity in data extraction from several sources is challenging to the market growth. Geographically, Asia Pacific region has have been recognized as highly growing market with increasing industrial expenditure of healthcare, BFSI and others. Therefore, Asia Pacific region are considered to be the dominant market over forecast period.

The market study is broken down and major geographies with country level break-up.

The market of Data Extraction is expected to grow with rising industrial verticals. Increasing generation of huge data in several industrial verticals driving the demand for the market. Several companies are operating in the market to provide Data Extraction with various features & unique offering. The market is highly fragmented with the presence of several market players. They are gaining attention owing to their innovative and novel portfolio. 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.

Alteryx, Inc. (United States), Fivetran. (United States), Fair Isaac Corporation (United States), IBM Corporation (United States), Webhose.io. (United States), Microsoft Corporation (United States), KNIME AG (United States), Matillion Ltd. (United States), Oracle Corporation (United States), SAP SE (United States) and Angoss Software Corporation (Canada) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Data Extraction market by Type, Application and Region.

On the basis of geography, the market of Data Extraction 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 Data Type, the sub-segment i.e. Unstructured will boost the Data Extraction market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Enterprise Size, the sub-segment i.e. Small & Medium Enterprises will boost the Data Extraction market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Deployment Type, the sub-segment i.e. On Premise will boost the Data Extraction market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Industry Vertical, the sub-segment i.e. IT & Telecommunication will boost the Data Extraction market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Data Extraction Type, the sub-segment i.e. Update notification will boost the Data Extraction market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

In September 2020, Newgen Software has launched OmniXtract 3.0. It is latest and enhanced version of the provider’s intelligent data extraction software. The new version of the software leverages intelligent technologies to enable the accurate extraction of critical data from both paper and digital documents and offers improved reporting and visualization capabilities. Additionally, the solution collects documents of various design formats and layouts from disparate sources for extraction.


Market Trend
  • Huge Adoption of Virtual Data Warehousing

Market Drivers
  • Growing Industrial Expenditure of healthcare, IT & Telecommunication, Media & Entertainment and BFSI
  • Increasing Unstructured Data Generation

Opportunities
  • Growing Technological Advancements with AI in Data Extraction Techniques
  • Increasing Need of Storage System for Maintaining Huge Volume of Data

Restraints
  • Increasing Concern regarding Safety Concern of Data

Challenges
  • Complexity in Data Extraction from Several Sources


Key Target Audience
Data Extraction Providers, Regulatory Authorities, New Entrants/Investors, Strategic Business Planners, Governments and End Use Industry

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 Data Type
  • Unstructured
  • Semi-Structured
  • Structured

By Enterprise Size
  • Small & Medium Enterprises
  • Large Enterprises

By Deployment Type
  • On Premise
  • Cloud

By Industry Vertical
  • IT & Telecommunication
  • Healthcare
  • Government
  • BFSI
  • Transportation & Logistics
  • Retail & E-commerce
  • Media & Entertainment
  • Others

By Data Extraction Type
  • Update notification
  • Incremental extraction
  • Full extraction

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. Growing Industrial Expenditure of healthcare, IT & Telecommunication, Media & Entertainment and BFSI
      • 3.2.2. Increasing Unstructured Data Generation
    • 3.3. Market Challenges
      • 3.3.1. Complexity in Data Extraction from Several Sources
    • 3.4. Market Trends
      • 3.4.1. Huge Adoption of Virtual Data Warehousing
  • 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 Data Extraction, by Data Type, Enterprise Size, Deployment Type, Industry Vertical, Data Extraction Type and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Data Extraction (Value)
      • 5.2.1. Global Data Extraction by: Data Type (Value)
        • 5.2.1.1. Unstructured
        • 5.2.1.2. Semi-Structured
        • 5.2.1.3. Structured
      • 5.2.2. Global Data Extraction by: Enterprise Size (Value)
        • 5.2.2.1. Small & Medium Enterprises
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Data Extraction by: Deployment Type (Value)
        • 5.2.3.1. On Premise
        • 5.2.3.2. Cloud
      • 5.2.4. Global Data Extraction by: Industry Vertical (Value)
        • 5.2.4.1. IT & Telecommunication
        • 5.2.4.2. Healthcare
        • 5.2.4.3. Government
        • 5.2.4.4. BFSI
        • 5.2.4.5. Transportation & Logistics
        • 5.2.4.6. Retail & E-commerce
        • 5.2.4.7. Media & Entertainment
        • 5.2.4.8. Others
      • 5.2.5. Global Data Extraction by: Data Extraction Type (Value)
        • 5.2.5.1. Update notification
        • 5.2.5.2. Incremental extraction
        • 5.2.5.3. Full extraction
      • 5.2.6. Global Data Extraction Region
        • 5.2.6.1. South America
          • 5.2.6.1.1. Brazil
          • 5.2.6.1.2. Argentina
          • 5.2.6.1.3. Rest of South America
        • 5.2.6.2. Asia Pacific
          • 5.2.6.2.1. China
          • 5.2.6.2.2. Japan
          • 5.2.6.2.3. India
          • 5.2.6.2.4. South Korea
          • 5.2.6.2.5. Taiwan
          • 5.2.6.2.6. Australia
          • 5.2.6.2.7. Rest of Asia-Pacific
        • 5.2.6.3. Europe
          • 5.2.6.3.1. Germany
          • 5.2.6.3.2. France
          • 5.2.6.3.3. Italy
          • 5.2.6.3.4. United Kingdom
          • 5.2.6.3.5. Netherlands
          • 5.2.6.3.6. Rest of Europe
        • 5.2.6.4. MEA
          • 5.2.6.4.1. Middle East
          • 5.2.6.4.2. Africa
        • 5.2.6.5. North America
          • 5.2.6.5.1. United States
          • 5.2.6.5.2. Canada
          • 5.2.6.5.3. Mexico
  • 6. Data Extraction: 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Alteryx, 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. Fivetran. (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. Fair Isaac Corporation (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. IBM 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. Webhose.io. (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. Microsoft Corporation (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. KNIME AG (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. Matillion Ltd. (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. Oracle Corporation (United States)
        • 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. SAP SE (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. Angoss Software Corporation (Canada)
        • 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
  • 7. Global Data Extraction Sale, by Data Type, Enterprise Size, Deployment Type, Industry Vertical, Data Extraction Type and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Data Extraction (Value)
      • 7.2.1. Global Data Extraction by: Data Type (Value)
        • 7.2.1.1. Unstructured
        • 7.2.1.2. Semi-Structured
        • 7.2.1.3. Structured
      • 7.2.2. Global Data Extraction by: Enterprise Size (Value)
        • 7.2.2.1. Small & Medium Enterprises
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Data Extraction by: Deployment Type (Value)
        • 7.2.3.1. On Premise
        • 7.2.3.2. Cloud
      • 7.2.4. Global Data Extraction by: Industry Vertical (Value)
        • 7.2.4.1. IT & Telecommunication
        • 7.2.4.2. Healthcare
        • 7.2.4.3. Government
        • 7.2.4.4. BFSI
        • 7.2.4.5. Transportation & Logistics
        • 7.2.4.6. Retail & E-commerce
        • 7.2.4.7. Media & Entertainment
        • 7.2.4.8. Others
      • 7.2.5. Global Data Extraction by: Data Extraction Type (Value)
        • 7.2.5.1. Update notification
        • 7.2.5.2. Incremental extraction
        • 7.2.5.3. Full extraction
      • 7.2.6. Global Data Extraction Region
        • 7.2.6.1. South America
          • 7.2.6.1.1. Brazil
          • 7.2.6.1.2. Argentina
          • 7.2.6.1.3. Rest of South America
        • 7.2.6.2. Asia Pacific
          • 7.2.6.2.1. China
          • 7.2.6.2.2. Japan
          • 7.2.6.2.3. India
          • 7.2.6.2.4. South Korea
          • 7.2.6.2.5. Taiwan
          • 7.2.6.2.6. Australia
          • 7.2.6.2.7. Rest of Asia-Pacific
        • 7.2.6.3. Europe
          • 7.2.6.3.1. Germany
          • 7.2.6.3.2. France
          • 7.2.6.3.3. Italy
          • 7.2.6.3.4. United Kingdom
          • 7.2.6.3.5. Netherlands
          • 7.2.6.3.6. Rest of Europe
        • 7.2.6.4. MEA
          • 7.2.6.4.1. Middle East
          • 7.2.6.4.2. Africa
        • 7.2.6.5. North America
          • 7.2.6.5.1. United States
          • 7.2.6.5.2. Canada
          • 7.2.6.5.3. 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. Data Extraction: by Data Type(USD Million)
  • Table 2. Data Extraction Unstructured , by Region USD Million (2015-2020)
  • Table 3. Data Extraction Semi-Structured , by Region USD Million (2015-2020)
  • Table 4. Data Extraction Structured , by Region USD Million (2015-2020)
  • Table 5. Data Extraction: by Enterprise Size(USD Million)
  • Table 6. Data Extraction Small & Medium Enterprises , by Region USD Million (2015-2020)
  • Table 7. Data Extraction Large Enterprises , by Region USD Million (2015-2020)
  • Table 8. Data Extraction: by Deployment Type(USD Million)
  • Table 9. Data Extraction On Premise , by Region USD Million (2015-2020)
  • Table 10. Data Extraction Cloud , by Region USD Million (2015-2020)
  • Table 11. Data Extraction: by Industry Vertical(USD Million)
  • Table 12. Data Extraction IT & Telecommunication , by Region USD Million (2015-2020)
  • Table 13. Data Extraction Healthcare , by Region USD Million (2015-2020)
  • Table 14. Data Extraction Government , by Region USD Million (2015-2020)
  • Table 15. Data Extraction BFSI , by Region USD Million (2015-2020)
  • Table 16. Data Extraction Transportation & Logistics , by Region USD Million (2015-2020)
  • Table 17. Data Extraction Retail & E-commerce , by Region USD Million (2015-2020)
  • Table 18. Data Extraction Media & Entertainment , by Region USD Million (2015-2020)
  • Table 19. Data Extraction Others , by Region USD Million (2015-2020)
  • Table 20. Data Extraction: by Data Extraction Type(USD Million)
  • Table 21. Data Extraction Update notification , by Region USD Million (2015-2020)
  • Table 22. Data Extraction Incremental extraction , by Region USD Million (2015-2020)
  • Table 23. Data Extraction Full extraction , by Region USD Million (2015-2020)
  • Table 24. South America Data Extraction, by Country USD Million (2015-2020)
  • Table 25. South America Data Extraction, by Data Type USD Million (2015-2020)
  • Table 26. South America Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 27. South America Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 28. South America Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 29. South America Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 30. Brazil Data Extraction, by Data Type USD Million (2015-2020)
  • Table 31. Brazil Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 32. Brazil Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 33. Brazil Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 34. Brazil Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 35. Argentina Data Extraction, by Data Type USD Million (2015-2020)
  • Table 36. Argentina Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 37. Argentina Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 38. Argentina Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 39. Argentina Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 40. Rest of South America Data Extraction, by Data Type USD Million (2015-2020)
  • Table 41. Rest of South America Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 42. Rest of South America Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 43. Rest of South America Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 44. Rest of South America Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 45. Asia Pacific Data Extraction, by Country USD Million (2015-2020)
  • Table 46. Asia Pacific Data Extraction, by Data Type USD Million (2015-2020)
  • Table 47. Asia Pacific Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 48. Asia Pacific Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 49. Asia Pacific Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 50. Asia Pacific Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 51. China Data Extraction, by Data Type USD Million (2015-2020)
  • Table 52. China Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 53. China Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 54. China Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 55. China Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 56. Japan Data Extraction, by Data Type USD Million (2015-2020)
  • Table 57. Japan Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 58. Japan Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 59. Japan Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 60. Japan Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 61. India Data Extraction, by Data Type USD Million (2015-2020)
  • Table 62. India Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 63. India Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 64. India Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 65. India Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 66. South Korea Data Extraction, by Data Type USD Million (2015-2020)
  • Table 67. South Korea Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 68. South Korea Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 69. South Korea Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 70. South Korea Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 71. Taiwan Data Extraction, by Data Type USD Million (2015-2020)
  • Table 72. Taiwan Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 73. Taiwan Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 74. Taiwan Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 75. Taiwan Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 76. Australia Data Extraction, by Data Type USD Million (2015-2020)
  • Table 77. Australia Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 78. Australia Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 79. Australia Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 80. Australia Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 81. Rest of Asia-Pacific Data Extraction, by Data Type USD Million (2015-2020)
  • Table 82. Rest of Asia-Pacific Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 83. Rest of Asia-Pacific Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 84. Rest of Asia-Pacific Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 85. Rest of Asia-Pacific Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 86. Europe Data Extraction, by Country USD Million (2015-2020)
  • Table 87. Europe Data Extraction, by Data Type USD Million (2015-2020)
  • Table 88. Europe Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 89. Europe Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 90. Europe Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 91. Europe Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 92. Germany Data Extraction, by Data Type USD Million (2015-2020)
  • Table 93. Germany Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 94. Germany Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 95. Germany Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 96. Germany Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 97. France Data Extraction, by Data Type USD Million (2015-2020)
  • Table 98. France Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 99. France Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 100. France Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 101. France Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 102. Italy Data Extraction, by Data Type USD Million (2015-2020)
  • Table 103. Italy Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 104. Italy Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 105. Italy Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 106. Italy Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 107. United Kingdom Data Extraction, by Data Type USD Million (2015-2020)
  • Table 108. United Kingdom Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 109. United Kingdom Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 110. United Kingdom Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 111. United Kingdom Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 112. Netherlands Data Extraction, by Data Type USD Million (2015-2020)
  • Table 113. Netherlands Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 114. Netherlands Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 115. Netherlands Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 116. Netherlands Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 117. Rest of Europe Data Extraction, by Data Type USD Million (2015-2020)
  • Table 118. Rest of Europe Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 119. Rest of Europe Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 120. Rest of Europe Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 121. Rest of Europe Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 122. MEA Data Extraction, by Country USD Million (2015-2020)
  • Table 123. MEA Data Extraction, by Data Type USD Million (2015-2020)
  • Table 124. MEA Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 125. MEA Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 126. MEA Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 127. MEA Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 128. Middle East Data Extraction, by Data Type USD Million (2015-2020)
  • Table 129. Middle East Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 130. Middle East Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 131. Middle East Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 132. Middle East Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 133. Africa Data Extraction, by Data Type USD Million (2015-2020)
  • Table 134. Africa Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 135. Africa Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 136. Africa Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 137. Africa Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 138. North America Data Extraction, by Country USD Million (2015-2020)
  • Table 139. North America Data Extraction, by Data Type USD Million (2015-2020)
  • Table 140. North America Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 141. North America Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 142. North America Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 143. North America Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 144. United States Data Extraction, by Data Type USD Million (2015-2020)
  • Table 145. United States Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 146. United States Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 147. United States Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 148. United States Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 149. Canada Data Extraction, by Data Type USD Million (2015-2020)
  • Table 150. Canada Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 151. Canada Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 152. Canada Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 153. Canada Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • Table 154. Mexico Data Extraction, by Data Type USD Million (2015-2020)
  • Table 155. Mexico Data Extraction, by Enterprise Size USD Million (2015-2020)
  • Table 156. Mexico Data Extraction, by Deployment Type USD Million (2015-2020)
  • Table 157. Mexico Data Extraction, by Industry Vertical USD Million (2015-2020)
  • Table 158. Mexico Data Extraction, by Data Extraction Type USD Million (2015-2020)
  • 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. Data Extraction: by Data Type(USD Million)
  • Table 171. Data Extraction Unstructured , by Region USD Million (2021-2026)
  • Table 172. Data Extraction Semi-Structured , by Region USD Million (2021-2026)
  • Table 173. Data Extraction Structured , by Region USD Million (2021-2026)
  • Table 174. Data Extraction: by Enterprise Size(USD Million)
  • Table 175. Data Extraction Small & Medium Enterprises , by Region USD Million (2021-2026)
  • Table 176. Data Extraction Large Enterprises , by Region USD Million (2021-2026)
  • Table 177. Data Extraction: by Deployment Type(USD Million)
  • Table 178. Data Extraction On Premise , by Region USD Million (2021-2026)
  • Table 179. Data Extraction Cloud , by Region USD Million (2021-2026)
  • Table 180. Data Extraction: by Industry Vertical(USD Million)
  • Table 181. Data Extraction IT & Telecommunication , by Region USD Million (2021-2026)
  • Table 182. Data Extraction Healthcare , by Region USD Million (2021-2026)
  • Table 183. Data Extraction Government , by Region USD Million (2021-2026)
  • Table 184. Data Extraction BFSI , by Region USD Million (2021-2026)
  • Table 185. Data Extraction Transportation & Logistics , by Region USD Million (2021-2026)
  • Table 186. Data Extraction Retail & E-commerce , by Region USD Million (2021-2026)
  • Table 187. Data Extraction Media & Entertainment , by Region USD Million (2021-2026)
  • Table 188. Data Extraction Others , by Region USD Million (2021-2026)
  • Table 189. Data Extraction: by Data Extraction Type(USD Million)
  • Table 190. Data Extraction Update notification , by Region USD Million (2021-2026)
  • Table 191. Data Extraction Incremental extraction , by Region USD Million (2021-2026)
  • Table 192. Data Extraction Full extraction , by Region USD Million (2021-2026)
  • Table 193. South America Data Extraction, by Country USD Million (2021-2026)
  • Table 194. South America Data Extraction, by Data Type USD Million (2021-2026)
  • Table 195. South America Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 196. South America Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 197. South America Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 198. South America Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 199. Brazil Data Extraction, by Data Type USD Million (2021-2026)
  • Table 200. Brazil Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 201. Brazil Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 202. Brazil Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 203. Brazil Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 204. Argentina Data Extraction, by Data Type USD Million (2021-2026)
  • Table 205. Argentina Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 206. Argentina Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 207. Argentina Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 208. Argentina Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 209. Rest of South America Data Extraction, by Data Type USD Million (2021-2026)
  • Table 210. Rest of South America Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 211. Rest of South America Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 212. Rest of South America Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 213. Rest of South America Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 214. Asia Pacific Data Extraction, by Country USD Million (2021-2026)
  • Table 215. Asia Pacific Data Extraction, by Data Type USD Million (2021-2026)
  • Table 216. Asia Pacific Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 217. Asia Pacific Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 218. Asia Pacific Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 219. Asia Pacific Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 220. China Data Extraction, by Data Type USD Million (2021-2026)
  • Table 221. China Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 222. China Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 223. China Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 224. China Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 225. Japan Data Extraction, by Data Type USD Million (2021-2026)
  • Table 226. Japan Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 227. Japan Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 228. Japan Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 229. Japan Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 230. India Data Extraction, by Data Type USD Million (2021-2026)
  • Table 231. India Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 232. India Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 233. India Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 234. India Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 235. South Korea Data Extraction, by Data Type USD Million (2021-2026)
  • Table 236. South Korea Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 237. South Korea Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 238. South Korea Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 239. South Korea Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 240. Taiwan Data Extraction, by Data Type USD Million (2021-2026)
  • Table 241. Taiwan Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 242. Taiwan Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 243. Taiwan Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 244. Taiwan Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 245. Australia Data Extraction, by Data Type USD Million (2021-2026)
  • Table 246. Australia Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 247. Australia Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 248. Australia Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 249. Australia Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 250. Rest of Asia-Pacific Data Extraction, by Data Type USD Million (2021-2026)
  • Table 251. Rest of Asia-Pacific Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 252. Rest of Asia-Pacific Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 253. Rest of Asia-Pacific Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 254. Rest of Asia-Pacific Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 255. Europe Data Extraction, by Country USD Million (2021-2026)
  • Table 256. Europe Data Extraction, by Data Type USD Million (2021-2026)
  • Table 257. Europe Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 258. Europe Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 259. Europe Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 260. Europe Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 261. Germany Data Extraction, by Data Type USD Million (2021-2026)
  • Table 262. Germany Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 263. Germany Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 264. Germany Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 265. Germany Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 266. France Data Extraction, by Data Type USD Million (2021-2026)
  • Table 267. France Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 268. France Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 269. France Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 270. France Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 271. Italy Data Extraction, by Data Type USD Million (2021-2026)
  • Table 272. Italy Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 273. Italy Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 274. Italy Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 275. Italy Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 276. United Kingdom Data Extraction, by Data Type USD Million (2021-2026)
  • Table 277. United Kingdom Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 278. United Kingdom Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 279. United Kingdom Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 280. United Kingdom Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 281. Netherlands Data Extraction, by Data Type USD Million (2021-2026)
  • Table 282. Netherlands Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 283. Netherlands Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 284. Netherlands Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 285. Netherlands Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 286. Rest of Europe Data Extraction, by Data Type USD Million (2021-2026)
  • Table 287. Rest of Europe Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 288. Rest of Europe Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 289. Rest of Europe Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 290. Rest of Europe Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 291. MEA Data Extraction, by Country USD Million (2021-2026)
  • Table 292. MEA Data Extraction, by Data Type USD Million (2021-2026)
  • Table 293. MEA Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 294. MEA Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 295. MEA Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 296. MEA Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 297. Middle East Data Extraction, by Data Type USD Million (2021-2026)
  • Table 298. Middle East Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 299. Middle East Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 300. Middle East Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 301. Middle East Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 302. Africa Data Extraction, by Data Type USD Million (2021-2026)
  • Table 303. Africa Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 304. Africa Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 305. Africa Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 306. Africa Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 307. North America Data Extraction, by Country USD Million (2021-2026)
  • Table 308. North America Data Extraction, by Data Type USD Million (2021-2026)
  • Table 309. North America Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 310. North America Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 311. North America Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 312. North America Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 313. United States Data Extraction, by Data Type USD Million (2021-2026)
  • Table 314. United States Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 315. United States Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 316. United States Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 317. United States Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 318. Canada Data Extraction, by Data Type USD Million (2021-2026)
  • Table 319. Canada Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 320. Canada Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 321. Canada Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 322. Canada Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 323. Mexico Data Extraction, by Data Type USD Million (2021-2026)
  • Table 324. Mexico Data Extraction, by Enterprise Size USD Million (2021-2026)
  • Table 325. Mexico Data Extraction, by Deployment Type USD Million (2021-2026)
  • Table 326. Mexico Data Extraction, by Industry Vertical USD Million (2021-2026)
  • Table 327. Mexico Data Extraction, by Data Extraction Type USD Million (2021-2026)
  • Table 328. Research Programs/Design for This Report
  • Table 329. Key Data Information from Secondary Sources
  • Table 330. 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 Data Extraction: by Data Type USD Million (2015-2020)
  • Figure 5. Global Data Extraction: by Enterprise Size USD Million (2015-2020)
  • Figure 6. Global Data Extraction: by Deployment Type USD Million (2015-2020)
  • Figure 7. Global Data Extraction: by Industry Vertical USD Million (2015-2020)
  • Figure 8. Global Data Extraction: by Data Extraction Type USD Million (2015-2020)
  • Figure 9. South America Data Extraction Share (%), by Country
  • Figure 10. Asia Pacific Data Extraction Share (%), by Country
  • Figure 11. Europe Data Extraction Share (%), by Country
  • Figure 12. MEA Data Extraction Share (%), by Country
  • Figure 13. North America Data Extraction Share (%), by Country
  • Figure 14. Global Data Extraction share by Players 2020 (%)
  • Figure 15. Global Data Extraction share by Players (Top 3) 2020(%)
  • Figure 16. Global Data Extraction share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Alteryx, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 19. Alteryx, Inc. (United States) Revenue: by Geography 2020
  • Figure 20. Fivetran. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Fivetran. (United States) Revenue: by Geography 2020
  • Figure 22. Fair Isaac Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 23. Fair Isaac Corporation (United States) Revenue: by Geography 2020
  • Figure 24. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 25. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 26. Webhose.io. (United States) Revenue, Net Income and Gross profit
  • Figure 27. Webhose.io. (United States) Revenue: by Geography 2020
  • Figure 28. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 29. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 30. KNIME AG (United States) Revenue, Net Income and Gross profit
  • Figure 31. KNIME AG (United States) Revenue: by Geography 2020
  • Figure 32. Matillion Ltd. (United States) Revenue, Net Income and Gross profit
  • Figure 33. Matillion Ltd. (United States) Revenue: by Geography 2020
  • Figure 34. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 35. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 36. SAP SE (United States) Revenue, Net Income and Gross profit
  • Figure 37. SAP SE (United States) Revenue: by Geography 2020
  • Figure 38. Angoss Software Corporation (Canada) Revenue, Net Income and Gross profit
  • Figure 39. Angoss Software Corporation (Canada) Revenue: by Geography 2020
  • Figure 40. Global Data Extraction: by Data Type USD Million (2021-2026)
  • Figure 41. Global Data Extraction: by Enterprise Size USD Million (2021-2026)
  • Figure 42. Global Data Extraction: by Deployment Type USD Million (2021-2026)
  • Figure 43. Global Data Extraction: by Industry Vertical USD Million (2021-2026)
  • Figure 44. Global Data Extraction: by Data Extraction Type USD Million (2021-2026)
  • Figure 45. South America Data Extraction Share (%), by Country
  • Figure 46. Asia Pacific Data Extraction Share (%), by Country
  • Figure 47. Europe Data Extraction Share (%), by Country
  • Figure 48. MEA Data Extraction Share (%), by Country
  • Figure 49. North America Data Extraction Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Alteryx, Inc. (United States)
  • Fivetran. (United States)
  • Fair Isaac Corporation (United States)
  • IBM Corporation (United States)
  • Webhose.io. (United States)
  • Microsoft Corporation (United States)
  • KNIME AG (United States)
  • Matillion Ltd. (United States)
  • Oracle Corporation (United States)
  • SAP SE (United States)
  • Angoss Software Corporation (Canada)
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Aug 2021 204 Pages 63 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Data Extraction Market Quantitative research analysis
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The standard version of the report profiles players such as Alteryx, Inc. (United States), Fivetran. (United States), Fair Isaac Corporation (United States), IBM Corporation (United States), Webhose.io. (United States), Microsoft Corporation (United States), KNIME AG (United States), Matillion Ltd. (United States), Oracle Corporation (United States), SAP SE (United States) and Angoss Software Corporation (Canada) etc.
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Analysts at AMA estimates Data Extraction Market to reach USD Million by 2026.

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