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Global Automated Data Extraction Platform Market Research Report 2025
Synopsis
An Automated Data Extraction Platform is a software solution designed to streamline and automate the process of extracting data from various sources such as documents, websites, databases, and applications. This platform utilizes advanced algorithms, machine learning, and natural language processing techniques to identify and extract relevant information from unstructured or semi-structured data sources efficiently and accurately. By automating the data extraction process, organizations can eliminate manual data entry tasks, reduce errors, and significantly increase productivity. Automated Data Extraction Platforms are commonly used in industries such as finance, healthcare, legal, and manufacturing for tasks such as invoice processing, document classification, form recognition, and data integration. These platforms offer features such as customizable workflows, data validation, and integration with other systems, allowing organizations to seamlessly integrate extracted data into their existing processes and workflows. Overall, Automated Data Extraction Platforms play a crucial role in helping organizations unlock insights from their data and gain a competitive edge in today's data-driven business environment.
The global Automated Data Extraction Platform market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
The Automated Data Extraction Platform market is currently experiencing robust growth driven by the increasing adoption of automation technologies across industries to streamline data-intensive processes and enhance operational efficiency. Businesses are increasingly recognizing the value of automating data extraction tasks to reduce manual efforts, minimize errors, and accelerate decision-making processes. Additionally, the growing volume of unstructured data generated from various sources such as documents, emails, and social media has fueled the demand for sophisticated data extraction solutions capable of processing and analyzing large datasets efficiently. Looking ahead, the future development trends of the Automated Data Extraction Platform market are likely to focus on enhancing automation capabilities, improving accuracy, and expanding compatibility with a broader range of data sources and formats. This includes advancements in machine learning algorithms, natural language processing techniques, and optical character recognition (OCR) technologies to enable more accurate and reliable data extraction from diverse sources. Moreover, there is a growing emphasis on incorporating AI-driven analytics and predictive modeling capabilities into data extraction platforms to provide actionable insights and drive better decision-making. Furthermore, with the increasing adoption of cloud computing and edge computing technologies, we can expect to see greater integration of Automated Data Extraction Platforms with cloud-based infrastructure and edge devices, enabling real-time data extraction and analysis at scale. Overall, the Automated Data Extraction Platform market is poised for continued growth and innovation as businesses continue to leverage automation technologies to unlock the value of their data and gain a competitive edge in the digital era.
This report aims to provide a comprehensive presentation of the global market for Automated Data Extraction Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automated Data Extraction Platform.
The Automated Data Extraction Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Automated Data Extraction Platform market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automated Data Extraction Platform companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Extract
Microsoft
Hubdoc
Diggernau
Nanonets
Talend
Kofax
Fortra
Abbyy
Datahut
Salestools
Rossum
Datatool
Docsumo
Ocrolus
Infrrd
Docparser
PromptCloud
CaptureFast
Demand
Hypatos
CrawlMonster
Segment by Type
Cloud Based
On-Premise
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automated Data Extraction Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
An Automated Data Extraction Platform is a software solution designed to streamline and automate the process of extracting data from various sources such as documents, websites, databases, and applications. This platform utilizes advanced algorithms, machine learning, and natural language processing techniques to identify and extract relevant information from unstructured or semi-structured data sources efficiently and accurately. By automating the data extraction process, organizations can eliminate manual data entry tasks, reduce errors, and significantly increase productivity. Automated Data Extraction Platforms are commonly used in industries such as finance, healthcare, legal, and manufacturing for tasks such as invoice processing, document classification, form recognition, and data integration. These platforms offer features such as customizable workflows, data validation, and integration with other systems, allowing organizations to seamlessly integrate extracted data into their existing processes and workflows. Overall, Automated Data Extraction Platforms play a crucial role in helping organizations unlock insights from their data and gain a competitive edge in today's data-driven business environment.
The global Automated Data Extraction Platform market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
The Automated Data Extraction Platform market is currently experiencing robust growth driven by the increasing adoption of automation technologies across industries to streamline data-intensive processes and enhance operational efficiency. Businesses are increasingly recognizing the value of automating data extraction tasks to reduce manual efforts, minimize errors, and accelerate decision-making processes. Additionally, the growing volume of unstructured data generated from various sources such as documents, emails, and social media has fueled the demand for sophisticated data extraction solutions capable of processing and analyzing large datasets efficiently. Looking ahead, the future development trends of the Automated Data Extraction Platform market are likely to focus on enhancing automation capabilities, improving accuracy, and expanding compatibility with a broader range of data sources and formats. This includes advancements in machine learning algorithms, natural language processing techniques, and optical character recognition (OCR) technologies to enable more accurate and reliable data extraction from diverse sources. Moreover, there is a growing emphasis on incorporating AI-driven analytics and predictive modeling capabilities into data extraction platforms to provide actionable insights and drive better decision-making. Furthermore, with the increasing adoption of cloud computing and edge computing technologies, we can expect to see greater integration of Automated Data Extraction Platforms with cloud-based infrastructure and edge devices, enabling real-time data extraction and analysis at scale. Overall, the Automated Data Extraction Platform market is poised for continued growth and innovation as businesses continue to leverage automation technologies to unlock the value of their data and gain a competitive edge in the digital era.
This report aims to provide a comprehensive presentation of the global market for Automated Data Extraction Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Automated Data Extraction Platform.
The Automated Data Extraction Platform market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Automated Data Extraction Platform market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Automated Data Extraction Platform companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Extract
Microsoft
Hubdoc
Diggernau
Nanonets
Talend
Kofax
Fortra
Abbyy
Datahut
Salestools
Rossum
Datatool
Docsumo
Ocrolus
Infrrd
Docparser
PromptCloud
CaptureFast
Demand
Hypatos
CrawlMonster
Segment by Type
Cloud Based
On-Premise
Segment by Application
SMEs
Large Enterprises
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Automated Data Extraction Platform company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automated Data Extraction Platform Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Automated Data Extraction Platform Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 SMEs
1.3.3 Large Enterprises
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automated Data Extraction Platform Market Perspective (2019-2030)
2.2 Global Automated Data Extraction Platform Growth Trends by Region
2.2.1 Global Automated Data Extraction Platform Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Automated Data Extraction Platform Historic Market Size by Region (2019-2024)
2.2.3 Automated Data Extraction Platform Forecasted Market Size by Region (2025-2030)
2.3 Automated Data Extraction Platform Market Dynamics
2.3.1 Automated Data Extraction Platform Industry Trends
2.3.2 Automated Data Extraction Platform Market Drivers
2.3.3 Automated Data Extraction Platform Market Challenges
2.3.4 Automated Data Extraction Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automated Data Extraction Platform Players by Revenue
3.1.1 Global Top Automated Data Extraction Platform Players by Revenue (2019-2024)
3.1.2 Global Automated Data Extraction Platform Revenue Market Share by Players (2019-2024)
3.2 Global Automated Data Extraction Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Automated Data Extraction Platform Revenue
3.4 Global Automated Data Extraction Platform Market Concentration Ratio
3.4.1 Global Automated Data Extraction Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automated Data Extraction Platform Revenue in 2023
3.5 Global Key Players of Automated Data Extraction Platform Head office and Area Served
3.6 Global Key Players of Automated Data Extraction Platform, Product and Application
3.7 Global Key Players of Automated Data Extraction Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Automated Data Extraction Platform Breakdown Data by Type
4.1 Global Automated Data Extraction Platform Historic Market Size by Type (2019-2024)
4.2 Global Automated Data Extraction Platform Forecasted Market Size by Type (2025-2030)
5 Automated Data Extraction Platform Breakdown Data by Application
5.1 Global Automated Data Extraction Platform Historic Market Size by Application (2019-2024)
5.2 Global Automated Data Extraction Platform Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Automated Data Extraction Platform Market Size (2019-2030)
6.2 North America Automated Data Extraction Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Automated Data Extraction Platform Market Size by Country (2019-2024)
6.4 North America Automated Data Extraction Platform Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automated Data Extraction Platform Market Size (2019-2030)
7.2 Europe Automated Data Extraction Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Automated Data Extraction Platform Market Size by Country (2019-2024)
7.4 Europe Automated Data Extraction Platform Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automated Data Extraction Platform Market Size (2019-2030)
8.2 Asia-Pacific Automated Data Extraction Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Automated Data Extraction Platform Market Size by Region (2019-2024)
8.4 Asia-Pacific Automated Data Extraction Platform Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automated Data Extraction Platform Market Size (2019-2030)
9.2 Latin America Automated Data Extraction Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Automated Data Extraction Platform Market Size by Country (2019-2024)
9.4 Latin America Automated Data Extraction Platform Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automated Data Extraction Platform Market Size (2019-2030)
10.2 Middle East & Africa Automated Data Extraction Platform Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Automated Data Extraction Platform Market Size by Country (2019-2024)
10.4 Middle East & Africa Automated Data Extraction Platform Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Extract
11.1.1 Extract Company Details
11.1.2 Extract Business Overview
11.1.3 Extract Automated Data Extraction Platform Introduction
11.1.4 Extract Revenue in Automated Data Extraction Platform Business (2019-2024)
11.1.5 Extract Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Automated Data Extraction Platform Introduction
11.2.4 Microsoft Revenue in Automated Data Extraction Platform Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Hubdoc
11.3.1 Hubdoc Company Details
11.3.2 Hubdoc Business Overview
11.3.3 Hubdoc Automated Data Extraction Platform Introduction
11.3.4 Hubdoc Revenue in Automated Data Extraction Platform Business (2019-2024)
11.3.5 Hubdoc Recent Development
11.4 Diggernau
11.4.1 Diggernau Company Details
11.4.2 Diggernau Business Overview
11.4.3 Diggernau Automated Data Extraction Platform Introduction
11.4.4 Diggernau Revenue in Automated Data Extraction Platform Business (2019-2024)
11.4.5 Diggernau Recent Development
11.5 Nanonets
11.5.1 Nanonets Company Details
11.5.2 Nanonets Business Overview
11.5.3 Nanonets Automated Data Extraction Platform Introduction
11.5.4 Nanonets Revenue in Automated Data Extraction Platform Business (2019-2024)
11.5.5 Nanonets Recent Development
11.6 Talend
11.6.1 Talend Company Details
11.6.2 Talend Business Overview
11.6.3 Talend Automated Data Extraction Platform Introduction
11.6.4 Talend Revenue in Automated Data Extraction Platform Business (2019-2024)
11.6.5 Talend Recent Development
11.7 Kofax
11.7.1 Kofax Company Details
11.7.2 Kofax Business Overview
11.7.3 Kofax Automated Data Extraction Platform Introduction
11.7.4 Kofax Revenue in Automated Data Extraction Platform Business (2019-2024)
11.7.5 Kofax Recent Development
11.8 Fortra
11.8.1 Fortra Company Details
11.8.2 Fortra Business Overview
11.8.3 Fortra Automated Data Extraction Platform Introduction
11.8.4 Fortra Revenue in Automated Data Extraction Platform Business (2019-2024)
11.8.5 Fortra Recent Development
11.9 Abbyy
11.9.1 Abbyy Company Details
11.9.2 Abbyy Business Overview
11.9.3 Abbyy Automated Data Extraction Platform Introduction
11.9.4 Abbyy Revenue in Automated Data Extraction Platform Business (2019-2024)
11.9.5 Abbyy Recent Development
11.10 Datahut
11.10.1 Datahut Company Details
11.10.2 Datahut Business Overview
11.10.3 Datahut Automated Data Extraction Platform Introduction
11.10.4 Datahut Revenue in Automated Data Extraction Platform Business (2019-2024)
11.10.5 Datahut Recent Development
11.11 Salestools
11.11.1 Salestools Company Details
11.11.2 Salestools Business Overview
11.11.3 Salestools Automated Data Extraction Platform Introduction
11.11.4 Salestools Revenue in Automated Data Extraction Platform Business (2019-2024)
11.11.5 Salestools Recent Development
11.12 Rossum
11.12.1 Rossum Company Details
11.12.2 Rossum Business Overview
11.12.3 Rossum Automated Data Extraction Platform Introduction
11.12.4 Rossum Revenue in Automated Data Extraction Platform Business (2019-2024)
11.12.5 Rossum Recent Development
11.13 Datatool
11.13.1 Datatool Company Details
11.13.2 Datatool Business Overview
11.13.3 Datatool Automated Data Extraction Platform Introduction
11.13.4 Datatool Revenue in Automated Data Extraction Platform Business (2019-2024)
11.13.5 Datatool Recent Development
11.14 Docsumo
11.14.1 Docsumo Company Details
11.14.2 Docsumo Business Overview
11.14.3 Docsumo Automated Data Extraction Platform Introduction
11.14.4 Docsumo Revenue in Automated Data Extraction Platform Business (2019-2024)
11.14.5 Docsumo Recent Development
11.15 Ocrolus
11.15.1 Ocrolus Company Details
11.15.2 Ocrolus Business Overview
11.15.3 Ocrolus Automated Data Extraction Platform Introduction
11.15.4 Ocrolus Revenue in Automated Data Extraction Platform Business (2019-2024)
11.15.5 Ocrolus Recent Development
11.16 Infrrd
11.16.1 Infrrd Company Details
11.16.2 Infrrd Business Overview
11.16.3 Infrrd Automated Data Extraction Platform Introduction
11.16.4 Infrrd Revenue in Automated Data Extraction Platform Business (2019-2024)
11.16.5 Infrrd Recent Development
11.17 Docparser
11.17.1 Docparser Company Details
11.17.2 Docparser Business Overview
11.17.3 Docparser Automated Data Extraction Platform Introduction
11.17.4 Docparser Revenue in Automated Data Extraction Platform Business (2019-2024)
11.17.5 Docparser Recent Development
11.18 PromptCloud
11.18.1 PromptCloud Company Details
11.18.2 PromptCloud Business Overview
11.18.3 PromptCloud Automated Data Extraction Platform Introduction
11.18.4 PromptCloud Revenue in Automated Data Extraction Platform Business (2019-2024)
11.18.5 PromptCloud Recent Development
11.19 CaptureFast
11.19.1 CaptureFast Company Details
11.19.2 CaptureFast Business Overview
11.19.3 CaptureFast Automated Data Extraction Platform Introduction
11.19.4 CaptureFast Revenue in Automated Data Extraction Platform Business (2019-2024)
11.19.5 CaptureFast Recent Development
11.20 Demand
11.20.1 Demand Company Details
11.20.2 Demand Business Overview
11.20.3 Demand Automated Data Extraction Platform Introduction
11.20.4 Demand Revenue in Automated Data Extraction Platform Business (2019-2024)
11.20.5 Demand Recent Development
11.21 Hypatos
11.21.1 Hypatos Company Details
11.21.2 Hypatos Business Overview
11.21.3 Hypatos Automated Data Extraction Platform Introduction
11.21.4 Hypatos Revenue in Automated Data Extraction Platform Business (2019-2024)
11.21.5 Hypatos Recent Development
11.22 CrawlMonster
11.22.1 CrawlMonster Company Details
11.22.2 CrawlMonster Business Overview
11.22.3 CrawlMonster Automated Data Extraction Platform Introduction
11.22.4 CrawlMonster Revenue in Automated Data Extraction Platform Business (2019-2024)
11.22.5 CrawlMonster Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
List of TablesList of Tables
Table 1. Global Automated Data Extraction Platform Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030
Table 2. Key Players of Cloud Based
Table 3. Key Players of On-Premise
Table 4. Global Automated Data Extraction Platform Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
Table 5. Global Automated Data Extraction Platform Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
Table 6. Global Automated Data Extraction Platform Market Size by Region (2019-2024) & (US$ Million)
Table 7. Global Automated Data Extraction Platform Market Share by Region (2019-2024)
Table 8. Global Automated Data Extraction Platform Forecasted Market Size by Region (2025-2030) & (US$ Million)
Table 9. Global Automated Data Extraction Platform Market Share by Region (2025-2030)
Table 10. Automated Data Extraction Platform Market Trends
Table 11. Automated Data Extraction Platform Market Drivers
Table 12. Automated Data Extraction Platform Market Challenges
Table 13. Automated Data Extraction Platform Market Restraints
Table 14. Global Automated Data Extraction Platform Revenue by Players (2019-2024) & (US$ Million)
Table 15. Global Automated Data Extraction Platform Market Share by Players (2019-2024)
Table 16. Global Top Automated Data Extraction Platform Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Automated Data Extraction Platform as of 2023)
Table 17. Ranking of Global Top Automated Data Extraction Platform Companies by Revenue (US$ Million) in 2023
Table 18. Global 5 Largest Players Market Share by Automated Data Extraction Platform Revenue (CR5 and HHI) & (2019-2024)
Table 19. Global Key Players of Automated Data Extraction Platform, Headquarters and Area Served
Table 20. Global Key Players of Automated Data Extraction Platform, Product and Application
Table 21. Global Key Players of Automated Data Extraction Platform, Date of Enter into This Industry
Table 22. Mergers & Acquisitions, Expansion Plans
Table 23. Global Automated Data Extraction Platform Market Size by Type (2019-2024) & (US$ Million)
Table 24. Global Automated Data Extraction Platform Revenue Market Share by Type (2019-2024)
Table 25. Global Automated Data Extraction Platform Forecasted Market Size by Type (2025-2030) & (US$ Million)
Table 26. Global Automated Data Extraction Platform Revenue Market Share by Type (2025-2030)
Table 27. Global Automated Data Extraction Platform Market Size by Application (2019-2024) & (US$ Million)
Table 28. Global Automated Data Extraction Platform Revenue Market Share by Application (2019-2024)
Table 29. Global Automated Data Extraction Platform Forecasted Market Size by Application (2025-2030) & (US$ Million)
Table 30. Global Automated Data Extraction Platform Revenue Market Share by Application (2025-2030)
Table 31. North America Automated Data Extraction Platform Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 32. North America Automated Data Extraction Platform Market Size by Country (2019-2024) & (US$ Million)
Table 33. North America Automated Data Extraction Platform Market Size by Country (2025-2030) & (US$ Million)
Table 34. Europe Automated Data Extraction Platform Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 35. Europe Automated Data Extraction Platform Market Size by Country (2019-2024) & (US$ Million)
Table 36. Europe Automated Data Extraction Platform Market Size by Country (2025-2030) & (US$ Million)
Table 37. Asia-Pacific Automated Data Extraction Platform Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 38. Asia-Pacific Automated Data Extraction Platform Market Size by Region (2019-2024) & (US$ Million)
Table 39. Asia-Pacific Automated Data Extraction Platform Market Size by Region (2025-2030) & (US$ Million)
Table 40. Latin America Automated Data Extraction Platform Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 41. Latin America Automated Data Extraction Platform Market Size by Country (2019-2024) & (US$ Million)
Table 42. Latin America Automated Data Extraction Platform Market Size by Country (2025-2030) & (US$ Million)
Table 43. Middle East & Africa Automated Data Extraction Platform Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
Table 44. Middle East & Africa Automated Data Extraction Platform Market Size by Country (2019-2024) & (US$ Million)
Table 45. Middle East & Africa Automated Data Extraction Platform Market Size by Country (2025-2030) & (US$ Million)
Table 46. Extract Company Details
Table 47. Extract Business Overview
Table 48. Extract Automated Data Extraction Platform Product
Table 49. Extract Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 50. Extract Recent Development
Table 51. Microsoft Company Details
Table 52. Microsoft Business Overview
Table 53. Microsoft Automated Data Extraction Platform Product
Table 54. Microsoft Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 55. Microsoft Recent Development
Table 56. Hubdoc Company Details
Table 57. Hubdoc Business Overview
Table 58. Hubdoc Automated Data Extraction Platform Product
Table 59. Hubdoc Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 60. Hubdoc Recent Development
Table 61. Diggernau Company Details
Table 62. Diggernau Business Overview
Table 63. Diggernau Automated Data Extraction Platform Product
Table 64. Diggernau Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 65. Diggernau Recent Development
Table 66. Nanonets Company Details
Table 67. Nanonets Business Overview
Table 68. Nanonets Automated Data Extraction Platform Product
Table 69. Nanonets Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 70. Nanonets Recent Development
Table 71. Talend Company Details
Table 72. Talend Business Overview
Table 73. Talend Automated Data Extraction Platform Product
Table 74. Talend Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 75. Talend Recent Development
Table 76. Kofax Company Details
Table 77. Kofax Business Overview
Table 78. Kofax Automated Data Extraction Platform Product
Table 79. Kofax Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 80. Kofax Recent Development
Table 81. Fortra Company Details
Table 82. Fortra Business Overview
Table 83. Fortra Automated Data Extraction Platform Product
Table 84. Fortra Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 85. Fortra Recent Development
Table 86. Abbyy Company Details
Table 87. Abbyy Business Overview
Table 88. Abbyy Automated Data Extraction Platform Product
Table 89. Abbyy Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 90. Abbyy Recent Development
Table 91. Datahut Company Details
Table 92. Datahut Business Overview
Table 93. Datahut Automated Data Extraction Platform Product
Table 94. Datahut Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 95. Datahut Recent Development
Table 96. Salestools Company Details
Table 97. Salestools Business Overview
Table 98. Salestools Automated Data Extraction Platform Product
Table 99. Salestools Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 100. Salestools Recent Development
Table 101. Rossum Company Details
Table 102. Rossum Business Overview
Table 103. Rossum Automated Data Extraction Platform Product
Table 104. Rossum Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 105. Rossum Recent Development
Table 106. Datatool Company Details
Table 107. Datatool Business Overview
Table 108. Datatool Automated Data Extraction Platform Product
Table 109. Datatool Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 110. Datatool Recent Development
Table 111. Docsumo Company Details
Table 112. Docsumo Business Overview
Table 113. Docsumo Automated Data Extraction Platform Product
Table 114. Docsumo Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 115. Docsumo Recent Development
Table 116. Ocrolus Company Details
Table 117. Ocrolus Business Overview
Table 118. Ocrolus Automated Data Extraction Platform Product
Table 119. Ocrolus Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 120. Ocrolus Recent Development
Table 121. Infrrd Company Details
Table 122. Infrrd Business Overview
Table 123. Infrrd Automated Data Extraction Platform Product
Table 124. Infrrd Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 125. Infrrd Recent Development
Table 126. Docparser Company Details
Table 127. Docparser Business Overview
Table 128. Docparser Automated Data Extraction Platform Product
Table 129. Docparser Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 130. Docparser Recent Development
Table 131. PromptCloud Company Details
Table 132. PromptCloud Business Overview
Table 133. PromptCloud Automated Data Extraction Platform Product
Table 134. PromptCloud Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 135. PromptCloud Recent Development
Table 136. CaptureFast Company Details
Table 137. CaptureFast Business Overview
Table 138. CaptureFast Automated Data Extraction Platform Product
Table 139. CaptureFast Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 140. CaptureFast Recent Development
Table 141. Demand Company Details
Table 142. Demand Business Overview
Table 143. Demand Automated Data Extraction Platform Product
Table 144. Demand Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 145. Demand Recent Development
Table 146. Hypatos Company Details
Table 147. Hypatos Business Overview
Table 148. Hypatos Automated Data Extraction Platform Product
Table 149. Hypatos Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 150. Hypatos Recent Development
Table 151. CrawlMonster Company Details
Table 152. CrawlMonster Business Overview
Table 153. CrawlMonster Automated Data Extraction Platform Product
Table 154. CrawlMonster Revenue in Automated Data Extraction Platform Business (2019-2024) & (US$ Million)
Table 155. CrawlMonster Recent Development
Table 156. Research Programs/Design for This Report
Table 157. Key Data Information from Secondary Sources
Table 158. Key Data Information from Primary Sources
Table 159. Authors List of This Report
List of Figures
Figure 1. Automated Data Extraction Platform Picture
Figure 2. Global Automated Data Extraction Platform Market Size Comparison by Type (2024-2030) & (US$ Million)
Figure 3. Global Automated Data Extraction Platform Market Share by Type: 2023 VS 2030
Figure 4. Cloud Based Features
Figure 5. On-Premise Features
Figure 6. Global Automated Data Extraction Platform Market Size by Application (2024-2030) & (US$ Million)
Figure 7. Global Automated Data Extraction Platform Market Share by Application: 2023 VS 2030
Figure 8. SMEs Case Studies
Figure 9. Large Enterprises Case Studies
Figure 10. Automated Data Extraction Platform Report Years Considered
Figure 11. Global Automated Data Extraction Platform Market Size (US$ Million), Year-over-Year: 2019-2030
Figure 12. Global Automated Data Extraction Platform Market Size, (US$ Million), 2019 VS 2023 VS 2030
Figure 13. Global Automated Data Extraction Platform Market Share by Region: 2023 VS 2030
Figure 14. Global Automated Data Extraction Platform Market Share by Players in 2023
Figure 15. Global Top Automated Data Extraction Platform Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Automated Data Extraction Platform as of 2023)
Figure 16. The Top 10 and 5 Players Market Share by Automated Data Extraction Platform Revenue in 2023
Figure 17. North America Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 18. North America Automated Data Extraction Platform Market Share by Country (2019-2030)
Figure 19. United States Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 20. Canada Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 21. Europe Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 22. Europe Automated Data Extraction Platform Market Share by Country (2019-2030)
Figure 23. Germany Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 24. France Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 25. U.K. Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 26. Italy Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 27. Russia Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 28. Nordic Countries Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 29. Asia-Pacific Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 30. Asia-Pacific Automated Data Extraction Platform Market Share by Region (2019-2030)
Figure 31. China Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 32. Japan Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 33. South Korea Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 34. Southeast Asia Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 35. India Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 36. Australia Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 37. Latin America Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 38. Latin America Automated Data Extraction Platform Market Share by Country (2019-2030)
Figure 39. Mexico Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 40. Brazil Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 41. Middle East & Africa Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 42. Middle East & Africa Automated Data Extraction Platform Market Share by Country (2019-2030)
Figure 43. Turkey Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 44. Saudi Arabia Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 45. UAE Automated Data Extraction Platform Market Size YoY Growth (2019-2030) & (US$ Million)
Figure 46. Extract Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 47. Microsoft Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 48. Hubdoc Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 49. Diggernau Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 50. Nanonets Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 51. Talend Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 52. Kofax Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 53. Fortra Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 54. Abbyy Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 55. Datahut Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 56. Salestools Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 57. Rossum Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 58. Datatool Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 59. Docsumo Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 60. Ocrolus Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 61. Infrrd Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 62. Docparser Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 63. PromptCloud Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 64. CaptureFast Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 65. Demand Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 66. Hypatos Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 67. CrawlMonster Revenue Growth Rate in Automated Data Extraction Platform Business (2019-2024)
Figure 68. Bottom-up and Top-down Approaches for This Report
Figure 69. Data Triangulation
Figure 70. Key Executives Interviewed
Published By : QY Research
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