Intelligent Document Processing Comprehensive Study by Type (Solutions, Services), Application (SMEs, Large Enterprises), Technology (Natural Language Processing (NLP), Optical Character Recognition (OCR), Machine Learning (ML), Artificial Intelligence (AI), Robotic Process Automation (RPA), Google Vision, Deep Learning (DL)), Industry Vertical (BFSI, Government, Healthcare and Life Sciences, Retail and eCommerce, Manufacturing, Transportation & Logistics, Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities)), Deployment Model (Cloud, On-Premises) Players and Region - Global Market Outlook to 2028

Intelligent Document Processing Market by XX Submarkets | Forecast Years 2023-2028  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Intelligent Document Processing Market Overview:
Client delivery automation, classifying incoming credit applications from various channels for banks approving loans, online verification of identification documents, and clause detection in legal documents are some of the key business processes that intelligent document processing solutions help companies automate. The rising need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed, increasing investments in digital transformation, and the rising adoption of cloud-based document processing solutions are among the major factors driving the Intelligent Document Processing market's growth.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Rising adoption of cloud-based document processing solutions

Market Growth Drivers:
Rising need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed and Increasing investments in digital transformation

Challenges:
High implementation costs

Restraints:
Addressing governance and compliance requirements

Opportunities:
Integration of advanced technologies with document processing solutions and Increasing need to improve customer experiences

Competitive Landscape:
The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new compounds, which is likely to encourage the growth of the global market throughout the forecast period.
Some of the key players profiled in the report are ABBYY (United States), IBM (United States), Kofax (United States), WorkFusion (United States), Automation Anywhere (United States), Appian (United States), UiPath (United States), Datamatics (India), Deloitte (England), AntWorks (Singapore), Parascript (United States), Hyperscience (United States), OpenText (Canada), Hyland (United States), Extract Systems (United States) and Infrrd (United States). Additionally, following companies can also be profiled that are part of our coverage like Celaton (United Kingdom), HCL Technologies (India), Kodak Alaris (United Kingdom), Rossum (United Kingdom) and InData Labs (Belarus). Analyst at AMA Research see Global Players to retain maximum share of Global Intelligent Document Processing market by 2028. Considering Market by Technology, the sub-segment i.e. Natural Language Processing (NLP) will boost the Intelligent Document Processing market. Considering Market by Industry Vertical, the sub-segment i.e. BFSI will boost the Intelligent Document Processing market. Considering Market by Deployment Model, the sub-segment i.e. Cloud will boost the Intelligent Document Processing market.

Latest Market Insights:
In April 2019, WorkFusion launched the Intelligent Automation Cloud platform. The platform uses WorkFusion¡¯s proprietary low-code ML technology that helps speed up business processes and reduce costs.

In March 2021, ABBYY launched the no-code platform Vantage 2 and AI Marketplace to reimagine digital transformation. Vantage 2 delivers ready-to-use AI skills for intelligent automation. The ABBYY Marketplace allows users to incorporate cognitive skills to accelerate their automation initiatives

What Can be Explored with the Intelligent Document Processing Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Intelligent Document Processing Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Intelligent Document Processing
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Intelligent Document Processing market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Intelligent Document Processing market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Intelligent Document Processing Provider, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations, End-Users and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Solutions
  • Services
By Application
  • SMEs
  • Large Enterprises
By Technology
  • Natural Language Processing (NLP)
  • Optical Character Recognition (OCR)
  • Machine Learning (ML)
  • Artificial Intelligence (AI)
  • Robotic Process Automation (RPA)
  • Google Vision
  • Deep Learning (DL)

By Industry Vertical
  • BFSI
  • Government
  • Healthcare and Life Sciences
  • Retail and eCommerce
  • Manufacturing
  • Transportation & Logistics
  • Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities)

By Deployment Model
  • Cloud
  • On-Premises

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 need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed
      • 3.2.2. Increasing investments in digital transformation
    • 3.3. Market Challenges
      • 3.3.1. High implementation costs
    • 3.4. Market Trends
      • 3.4.1. Rising adoption of cloud-based document processing solutions
  • 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 Intelligent Document Processing, by Type, Application, Technology, Industry Vertical, Deployment Model and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Intelligent Document Processing (Value)
      • 5.2.1. Global Intelligent Document Processing by: Type (Value)
        • 5.2.1.1. Solutions
        • 5.2.1.2. Services
      • 5.2.2. Global Intelligent Document Processing by: Application (Value)
        • 5.2.2.1. SMEs
        • 5.2.2.2. Large Enterprises
      • 5.2.3. Global Intelligent Document Processing by: Technology (Value)
        • 5.2.3.1. Natural Language Processing (NLP)
        • 5.2.3.2. Optical Character Recognition (OCR)
        • 5.2.3.3. Machine Learning (ML)
        • 5.2.3.4. Artificial Intelligence (AI)
        • 5.2.3.5. Robotic Process Automation (RPA)
        • 5.2.3.6. Google Vision
        • 5.2.3.7. Deep Learning (DL)
      • 5.2.4. Global Intelligent Document Processing by: Industry Vertical (Value)
        • 5.2.4.1. BFSI
        • 5.2.4.2. Government
        • 5.2.4.3. Healthcare and Life Sciences
        • 5.2.4.4. Retail and eCommerce
        • 5.2.4.5. Manufacturing
        • 5.2.4.6. Transportation & Logistics
        • 5.2.4.7. Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities)
      • 5.2.5. Global Intelligent Document Processing by: Deployment Model (Value)
        • 5.2.5.1. Cloud
        • 5.2.5.2. On-Premises
      • 5.2.6. Global Intelligent Document Processing 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. Intelligent Document Processing: 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. ABBYY (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. IBM (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. Kofax (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. WorkFusion (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. Automation Anywhere (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. Appian (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. UiPath (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. Datamatics (India)
        • 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. Deloitte (England)
        • 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. AntWorks (Singapore)
        • 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. Parascript (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. Hyperscience (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. OpenText (Canada)
        • 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. Hyland (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
      • 6.4.15. Extract Systems (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Infrrd (United States)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
  • 7. Global Intelligent Document Processing Sale, by Type, Application, Technology, Industry Vertical, Deployment Model and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Intelligent Document Processing (Value)
      • 7.2.1. Global Intelligent Document Processing by: Type (Value)
        • 7.2.1.1. Solutions
        • 7.2.1.2. Services
      • 7.2.2. Global Intelligent Document Processing by: Application (Value)
        • 7.2.2.1. SMEs
        • 7.2.2.2. Large Enterprises
      • 7.2.3. Global Intelligent Document Processing by: Technology (Value)
        • 7.2.3.1. Natural Language Processing (NLP)
        • 7.2.3.2. Optical Character Recognition (OCR)
        • 7.2.3.3. Machine Learning (ML)
        • 7.2.3.4. Artificial Intelligence (AI)
        • 7.2.3.5. Robotic Process Automation (RPA)
        • 7.2.3.6. Google Vision
        • 7.2.3.7. Deep Learning (DL)
      • 7.2.4. Global Intelligent Document Processing by: Industry Vertical (Value)
        • 7.2.4.1. BFSI
        • 7.2.4.2. Government
        • 7.2.4.3. Healthcare and Life Sciences
        • 7.2.4.4. Retail and eCommerce
        • 7.2.4.5. Manufacturing
        • 7.2.4.6. Transportation & Logistics
        • 7.2.4.7. Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities)
      • 7.2.5. Global Intelligent Document Processing by: Deployment Model (Value)
        • 7.2.5.1. Cloud
        • 7.2.5.2. On-Premises
      • 7.2.6. Global Intelligent Document Processing 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. Intelligent Document Processing: by Type(USD Million)
  • Table 2. Intelligent Document Processing Solutions , by Region USD Million (2017-2022)
  • Table 3. Intelligent Document Processing Services , by Region USD Million (2017-2022)
  • Table 4. Intelligent Document Processing: by Application(USD Million)
  • Table 5. Intelligent Document Processing SMEs , by Region USD Million (2017-2022)
  • Table 6. Intelligent Document Processing Large Enterprises , by Region USD Million (2017-2022)
  • Table 7. Intelligent Document Processing: by Technology(USD Million)
  • Table 8. Intelligent Document Processing Natural Language Processing (NLP) , by Region USD Million (2017-2022)
  • Table 9. Intelligent Document Processing Optical Character Recognition (OCR) , by Region USD Million (2017-2022)
  • Table 10. Intelligent Document Processing Machine Learning (ML) , by Region USD Million (2017-2022)
  • Table 11. Intelligent Document Processing Artificial Intelligence (AI) , by Region USD Million (2017-2022)
  • Table 12. Intelligent Document Processing Robotic Process Automation (RPA) , by Region USD Million (2017-2022)
  • Table 13. Intelligent Document Processing Google Vision , by Region USD Million (2017-2022)
  • Table 14. Intelligent Document Processing Deep Learning (DL) , by Region USD Million (2017-2022)
  • Table 15. Intelligent Document Processing: by Industry Vertical(USD Million)
  • Table 16. Intelligent Document Processing BFSI , by Region USD Million (2017-2022)
  • Table 17. Intelligent Document Processing Government , by Region USD Million (2017-2022)
  • Table 18. Intelligent Document Processing Healthcare and Life Sciences , by Region USD Million (2017-2022)
  • Table 19. Intelligent Document Processing Retail and eCommerce , by Region USD Million (2017-2022)
  • Table 20. Intelligent Document Processing Manufacturing , by Region USD Million (2017-2022)
  • Table 21. Intelligent Document Processing Transportation & Logistics , by Region USD Million (2017-2022)
  • Table 22. Intelligent Document Processing Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities) , by Region USD Million (2017-2022)
  • Table 23. Intelligent Document Processing: by Deployment Model(USD Million)
  • Table 24. Intelligent Document Processing Cloud , by Region USD Million (2017-2022)
  • Table 25. Intelligent Document Processing On-Premises , by Region USD Million (2017-2022)
  • Table 26. South America Intelligent Document Processing, by Country USD Million (2017-2022)
  • Table 27. South America Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 28. South America Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 29. South America Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 30. South America Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 31. South America Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 32. Brazil Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 33. Brazil Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 34. Brazil Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 35. Brazil Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 36. Brazil Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 37. Argentina Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 38. Argentina Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 39. Argentina Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 40. Argentina Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 41. Argentina Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 42. Rest of South America Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 43. Rest of South America Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 44. Rest of South America Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 45. Rest of South America Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 46. Rest of South America Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 47. Asia Pacific Intelligent Document Processing, by Country USD Million (2017-2022)
  • Table 48. Asia Pacific Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 49. Asia Pacific Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 50. Asia Pacific Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 51. Asia Pacific Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 52. Asia Pacific Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 53. China Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 54. China Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 55. China Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 56. China Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 57. China Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 58. Japan Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 59. Japan Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 60. Japan Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 61. Japan Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 62. Japan Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 63. India Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 64. India Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 65. India Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 66. India Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 67. India Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 68. South Korea Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 69. South Korea Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 70. South Korea Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 71. South Korea Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 72. South Korea Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 73. Taiwan Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 74. Taiwan Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 75. Taiwan Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 76. Taiwan Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 77. Taiwan Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 78. Australia Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 79. Australia Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 80. Australia Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 81. Australia Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 82. Australia Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 83. Rest of Asia-Pacific Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 84. Rest of Asia-Pacific Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 85. Rest of Asia-Pacific Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 86. Rest of Asia-Pacific Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 87. Rest of Asia-Pacific Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 88. Europe Intelligent Document Processing, by Country USD Million (2017-2022)
  • Table 89. Europe Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 90. Europe Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 91. Europe Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 92. Europe Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 93. Europe Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 94. Germany Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 95. Germany Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 96. Germany Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 97. Germany Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 98. Germany Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 99. France Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 100. France Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 101. France Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 102. France Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 103. France Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 104. Italy Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 105. Italy Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 106. Italy Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 107. Italy Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 108. Italy Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 109. United Kingdom Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 110. United Kingdom Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 111. United Kingdom Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 112. United Kingdom Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 113. United Kingdom Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 114. Netherlands Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 115. Netherlands Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 116. Netherlands Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 117. Netherlands Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 118. Netherlands Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 119. Rest of Europe Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 120. Rest of Europe Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 121. Rest of Europe Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 122. Rest of Europe Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 123. Rest of Europe Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 124. MEA Intelligent Document Processing, by Country USD Million (2017-2022)
  • Table 125. MEA Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 126. MEA Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 127. MEA Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 128. MEA Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 129. MEA Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 130. Middle East Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 131. Middle East Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 132. Middle East Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 133. Middle East Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 134. Middle East Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 135. Africa Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 136. Africa Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 137. Africa Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 138. Africa Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 139. Africa Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 140. North America Intelligent Document Processing, by Country USD Million (2017-2022)
  • Table 141. North America Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 142. North America Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 143. North America Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 144. North America Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 145. North America Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 146. United States Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 147. United States Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 148. United States Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 149. United States Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 150. United States Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 151. Canada Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 152. Canada Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 153. Canada Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 154. Canada Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 155. Canada Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • Table 156. Mexico Intelligent Document Processing, by Type USD Million (2017-2022)
  • Table 157. Mexico Intelligent Document Processing, by Application USD Million (2017-2022)
  • Table 158. Mexico Intelligent Document Processing, by Technology USD Million (2017-2022)
  • Table 159. Mexico Intelligent Document Processing, by Industry Vertical USD Million (2017-2022)
  • Table 160. Mexico Intelligent Document Processing, by Deployment Model USD Million (2017-2022)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 171. Company Basic Information, Sales Area and Its Competitors
  • Table 172. Company Basic Information, Sales Area and Its Competitors
  • Table 173. Company Basic Information, Sales Area and Its Competitors
  • Table 174. Company Basic Information, Sales Area and Its Competitors
  • Table 175. Company Basic Information, Sales Area and Its Competitors
  • Table 176. Company Basic Information, Sales Area and Its Competitors
  • Table 177. Intelligent Document Processing: by Type(USD Million)
  • Table 178. Intelligent Document Processing Solutions , by Region USD Million (2023-2028)
  • Table 179. Intelligent Document Processing Services , by Region USD Million (2023-2028)
  • Table 180. Intelligent Document Processing: by Application(USD Million)
  • Table 181. Intelligent Document Processing SMEs , by Region USD Million (2023-2028)
  • Table 182. Intelligent Document Processing Large Enterprises , by Region USD Million (2023-2028)
  • Table 183. Intelligent Document Processing: by Technology(USD Million)
  • Table 184. Intelligent Document Processing Natural Language Processing (NLP) , by Region USD Million (2023-2028)
  • Table 185. Intelligent Document Processing Optical Character Recognition (OCR) , by Region USD Million (2023-2028)
  • Table 186. Intelligent Document Processing Machine Learning (ML) , by Region USD Million (2023-2028)
  • Table 187. Intelligent Document Processing Artificial Intelligence (AI) , by Region USD Million (2023-2028)
  • Table 188. Intelligent Document Processing Robotic Process Automation (RPA) , by Region USD Million (2023-2028)
  • Table 189. Intelligent Document Processing Google Vision , by Region USD Million (2023-2028)
  • Table 190. Intelligent Document Processing Deep Learning (DL) , by Region USD Million (2023-2028)
  • Table 191. Intelligent Document Processing: by Industry Vertical(USD Million)
  • Table 192. Intelligent Document Processing BFSI , by Region USD Million (2023-2028)
  • Table 193. Intelligent Document Processing Government , by Region USD Million (2023-2028)
  • Table 194. Intelligent Document Processing Healthcare and Life Sciences , by Region USD Million (2023-2028)
  • Table 195. Intelligent Document Processing Retail and eCommerce , by Region USD Million (2023-2028)
  • Table 196. Intelligent Document Processing Manufacturing , by Region USD Million (2023-2028)
  • Table 197. Intelligent Document Processing Transportation & Logistics , by Region USD Million (2023-2028)
  • Table 198. Intelligent Document Processing Others (ITeS, telecom, HR, CRM, sales, education, and energy and utilities) , by Region USD Million (2023-2028)
  • Table 199. Intelligent Document Processing: by Deployment Model(USD Million)
  • Table 200. Intelligent Document Processing Cloud , by Region USD Million (2023-2028)
  • Table 201. Intelligent Document Processing On-Premises , by Region USD Million (2023-2028)
  • Table 202. South America Intelligent Document Processing, by Country USD Million (2023-2028)
  • Table 203. South America Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 204. South America Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 205. South America Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 206. South America Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 207. South America Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 208. Brazil Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 209. Brazil Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 210. Brazil Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 211. Brazil Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 212. Brazil Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 213. Argentina Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 214. Argentina Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 215. Argentina Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 216. Argentina Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 217. Argentina Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 218. Rest of South America Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 219. Rest of South America Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 220. Rest of South America Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 221. Rest of South America Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 222. Rest of South America Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 223. Asia Pacific Intelligent Document Processing, by Country USD Million (2023-2028)
  • Table 224. Asia Pacific Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 225. Asia Pacific Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 226. Asia Pacific Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 227. Asia Pacific Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 228. Asia Pacific Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 229. China Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 230. China Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 231. China Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 232. China Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 233. China Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 234. Japan Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 235. Japan Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 236. Japan Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 237. Japan Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 238. Japan Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 239. India Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 240. India Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 241. India Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 242. India Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 243. India Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 244. South Korea Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 245. South Korea Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 246. South Korea Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 247. South Korea Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 248. South Korea Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 249. Taiwan Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 250. Taiwan Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 251. Taiwan Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 252. Taiwan Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 253. Taiwan Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 254. Australia Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 255. Australia Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 256. Australia Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 257. Australia Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 258. Australia Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 259. Rest of Asia-Pacific Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 260. Rest of Asia-Pacific Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 261. Rest of Asia-Pacific Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 262. Rest of Asia-Pacific Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 263. Rest of Asia-Pacific Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 264. Europe Intelligent Document Processing, by Country USD Million (2023-2028)
  • Table 265. Europe Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 266. Europe Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 267. Europe Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 268. Europe Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 269. Europe Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 270. Germany Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 271. Germany Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 272. Germany Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 273. Germany Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 274. Germany Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 275. France Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 276. France Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 277. France Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 278. France Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 279. France Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 280. Italy Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 281. Italy Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 282. Italy Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 283. Italy Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 284. Italy Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 285. United Kingdom Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 286. United Kingdom Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 287. United Kingdom Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 288. United Kingdom Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 289. United Kingdom Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 290. Netherlands Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 291. Netherlands Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 292. Netherlands Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 293. Netherlands Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 294. Netherlands Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 295. Rest of Europe Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 296. Rest of Europe Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 297. Rest of Europe Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 298. Rest of Europe Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 299. Rest of Europe Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 300. MEA Intelligent Document Processing, by Country USD Million (2023-2028)
  • Table 301. MEA Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 302. MEA Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 303. MEA Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 304. MEA Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 305. MEA Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 306. Middle East Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 307. Middle East Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 308. Middle East Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 309. Middle East Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 310. Middle East Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 311. Africa Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 312. Africa Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 313. Africa Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 314. Africa Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 315. Africa Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 316. North America Intelligent Document Processing, by Country USD Million (2023-2028)
  • Table 317. North America Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 318. North America Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 319. North America Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 320. North America Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 321. North America Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 322. United States Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 323. United States Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 324. United States Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 325. United States Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 326. United States Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 327. Canada Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 328. Canada Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 329. Canada Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 330. Canada Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 331. Canada Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 332. Mexico Intelligent Document Processing, by Type USD Million (2023-2028)
  • Table 333. Mexico Intelligent Document Processing, by Application USD Million (2023-2028)
  • Table 334. Mexico Intelligent Document Processing, by Technology USD Million (2023-2028)
  • Table 335. Mexico Intelligent Document Processing, by Industry Vertical USD Million (2023-2028)
  • Table 336. Mexico Intelligent Document Processing, by Deployment Model USD Million (2023-2028)
  • Table 337. Research Programs/Design for This Report
  • Table 338. Key Data Information from Secondary Sources
  • Table 339. 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 Intelligent Document Processing: by Type USD Million (2017-2022)
  • Figure 5. Global Intelligent Document Processing: by Application USD Million (2017-2022)
  • Figure 6. Global Intelligent Document Processing: by Technology USD Million (2017-2022)
  • Figure 7. Global Intelligent Document Processing: by Industry Vertical USD Million (2017-2022)
  • Figure 8. Global Intelligent Document Processing: by Deployment Model USD Million (2017-2022)
  • Figure 9. South America Intelligent Document Processing Share (%), by Country
  • Figure 10. Asia Pacific Intelligent Document Processing Share (%), by Country
  • Figure 11. Europe Intelligent Document Processing Share (%), by Country
  • Figure 12. MEA Intelligent Document Processing Share (%), by Country
  • Figure 13. North America Intelligent Document Processing Share (%), by Country
  • Figure 14. Global Intelligent Document Processing share by Players 2022 (%)
  • Figure 15. Global Intelligent Document Processing share by Players (Top 3) 2022(%)
  • Figure 16. Global Intelligent Document Processing share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. ABBYY (United States) Revenue, Net Income and Gross profit
  • Figure 19. ABBYY (United States) Revenue: by Geography 2022
  • Figure 20. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM (United States) Revenue: by Geography 2022
  • Figure 22. Kofax (United States) Revenue, Net Income and Gross profit
  • Figure 23. Kofax (United States) Revenue: by Geography 2022
  • Figure 24. WorkFusion (United States) Revenue, Net Income and Gross profit
  • Figure 25. WorkFusion (United States) Revenue: by Geography 2022
  • Figure 26. Automation Anywhere (United States) Revenue, Net Income and Gross profit
  • Figure 27. Automation Anywhere (United States) Revenue: by Geography 2022
  • Figure 28. Appian (United States) Revenue, Net Income and Gross profit
  • Figure 29. Appian (United States) Revenue: by Geography 2022
  • Figure 30. UiPath (United States) Revenue, Net Income and Gross profit
  • Figure 31. UiPath (United States) Revenue: by Geography 2022
  • Figure 32. Datamatics (India) Revenue, Net Income and Gross profit
  • Figure 33. Datamatics (India) Revenue: by Geography 2022
  • Figure 34. Deloitte (England) Revenue, Net Income and Gross profit
  • Figure 35. Deloitte (England) Revenue: by Geography 2022
  • Figure 36. AntWorks (Singapore) Revenue, Net Income and Gross profit
  • Figure 37. AntWorks (Singapore) Revenue: by Geography 2022
  • Figure 38. Parascript (United States) Revenue, Net Income and Gross profit
  • Figure 39. Parascript (United States) Revenue: by Geography 2022
  • Figure 40. Hyperscience (United States) Revenue, Net Income and Gross profit
  • Figure 41. Hyperscience (United States) Revenue: by Geography 2022
  • Figure 42. OpenText (Canada) Revenue, Net Income and Gross profit
  • Figure 43. OpenText (Canada) Revenue: by Geography 2022
  • Figure 44. Hyland (United States) Revenue, Net Income and Gross profit
  • Figure 45. Hyland (United States) Revenue: by Geography 2022
  • Figure 46. Extract Systems (United States) Revenue, Net Income and Gross profit
  • Figure 47. Extract Systems (United States) Revenue: by Geography 2022
  • Figure 48. Infrrd (United States) Revenue, Net Income and Gross profit
  • Figure 49. Infrrd (United States) Revenue: by Geography 2022
  • Figure 50. Global Intelligent Document Processing: by Type USD Million (2023-2028)
  • Figure 51. Global Intelligent Document Processing: by Application USD Million (2023-2028)
  • Figure 52. Global Intelligent Document Processing: by Technology USD Million (2023-2028)
  • Figure 53. Global Intelligent Document Processing: by Industry Vertical USD Million (2023-2028)
  • Figure 54. Global Intelligent Document Processing: by Deployment Model USD Million (2023-2028)
  • Figure 55. South America Intelligent Document Processing Share (%), by Country
  • Figure 56. Asia Pacific Intelligent Document Processing Share (%), by Country
  • Figure 57. Europe Intelligent Document Processing Share (%), by Country
  • Figure 58. MEA Intelligent Document Processing Share (%), by Country
  • Figure 59. North America Intelligent Document Processing Share (%), by Country
List of companies from research coverage that are profiled in the study
  • ABBYY (United States)
  • IBM (United States)
  • Kofax (United States)
  • WorkFusion (United States)
  • Automation Anywhere (United States)
  • Appian (United States)
  • UiPath (United States)
  • Datamatics (India)
  • Deloitte (England)
  • AntWorks (Singapore)
  • Parascript (United States)
  • Hyperscience (United States)
  • OpenText (Canada)
  • Hyland (United States)
  • Extract Systems (United States)
  • Infrrd (United States)
Additional players considered in the study are as follows:
Celaton (United Kingdom) , HCL Technologies (India) , Kodak Alaris (United Kingdom) , Rossum (United Kingdom) , InData Labs (Belarus)
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Intelligent Document Processing market are ABBYY (United States), IBM (United States), Kofax (United States), WorkFusion (United States), Automation Anywhere (United States), Appian (United States), UiPath (United States), Datamatics (India), Deloitte (England), AntWorks (Singapore), Parascript (United States), Hyperscience (United States), OpenText (Canada), Hyland (United States), Extract Systems (United States) and Infrrd (United States), to name a few.
"Rising adoption of cloud-based document processing solutions" is seen as one of major influencing trends for Intelligent Document Processing Market during projected period 2022-2028.
Solutions segment in Global market to hold robust market share owing to "Rising need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed ".

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