Global Optical Character Recognition (OCR) Software Market
Global Optical Character Recognition (OCR) Software Market

Optical Character Recognition (OCR) Software Comprehensive Study by Type (Software, Services), Application (Media & Entertainment, IT & Telecom, BFSI, Transport and Logistics, Retail & Manufacturing, Others), Organization Size (Large Size, Small and Medium Size)

Optical Character Recognition (OCR) Software Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Jul 2021 Edition 222 Pages 217 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Optical Character Recognition (OCR) Software Market Scope?
Optical character recognition (OCR) additionally called Optical Character Reader, is a system that has full alphanumeric recognition of printed or handwritten characters at electronic speed by simply scanning the form. The OCR technology provides a complete type process and documents capture solution. In general, OCR uses a modular architecture that is open, scalable, and workflow-controlled. It additionally includes forms definition, scanning, image pre-processing, and recognition capabilities. Optical character recognition (OCR) is widely used as a form of data entry from a variety of original paper data sources, whether passport documents, invoices, bank statements, receipts, business cards, mail, or any number of written records. Several benefits of optical character recognition technology have helped firms to avoid wasting time spent on entering data manually in computer, enhancing work management, reducing the cost of converting documents into digital form, and reducing manual errors, among others.

The Optical Character Recognition (OCR) Software market study is being classified by Type (Software and Services), by Application (Media & Entertainment, IT & Telecom, BFSI, Transport and Logistics, Retail & Manufacturing and Others) and major geographies with country level break-up.

Digitalization in business organizations has made all the processes faster and more accessible. As companies are witnessing technological advancements, data is becoming a critical element for growth. When data is converted to digital form, it can be processed by computers and a variety of devices with computing capacity. This data is easy to share, access, and store. This ease of operation is boosting the market. Analysts at AMA predicts that Players from United States will contribute to the maximum growth of Global Optical Character Recognition (OCR) Software market throughout the predicted period.

Microsoft Corporation (United States), IBM (United States), NTT DATA Corporation (Japan), Adobe Inc (United States), CVISION Technologies, Inc (United States), LEAD Technologies, Inc (United States), Anyline GmbH (United States), Creaceed (United States), IntSig Information Co. Ltd (China), Foxit (United States) and Prime Recognition Corporation (United States) are some of the key players profiled in the study.

Segmentation Analysis
Analyst at AMA have segmented the market study of Global Optical Character Recognition (OCR) Software market by Type, Application and Region.

On the basis of geography, the market of Optical Character Recognition (OCR) Software has been segmented into .

Market Influencers and their development strategies
Foxit Software announced the acquisition of New York-based CVISION Technologies. This acquisition of CVISION builds upon Foxitís 2015 acquisition of Luratech Software and enables Foxit to gain global leadership in the
In 2020, Adobe launched the ĎAdobe Scaní Optical Character Recognition App. This new app uses Optical Character Recognition (OCR) to turn printed text into a digital document.


Influencing Market Trend
  • Increasing Use of The System
  • Rising Trend for the ID-Verification Services

Market Drivers
  • Increasing Applications of OCR System in Transportation and Logistics Industry
  • The Warehouses and Drivers Are Increasingly Using Mobile-Based OCR Systems
  • Improved Customer Service and Increased Security of Documents

Opportunities
  • Increasing Research and Development Activities
  • Rapid Technological Advancements
  • The Growing Adoption of The OCR System in The Education Sector

Restraints
  • High Maintenance and Installation Cost
  • Lack Of Technological Knowledge Among Individuals

Challenges
  • Lack Of Accuracy in Recognition of Handwritten Material


Key Target Audience
Providers of Optical Character Recognition (OCR) Software, Governmental and Regulatory bodies and End-Users

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also include significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets , To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

Frequently Asked Questions (FAQ):

1. At what growth rate would the Optical Character Recognition (OCR) Software market expands?
The Global Optical Character Recognition (OCR) Software market is expected to see a growth of % during projected year 2020 to 2026.

2. Who are the prominent players of the Global Optical Character Recognition (OCR) Software market?
The prominent players of Global Optical Character Recognition (OCR) Software market are Microsoft Corporation (United States), IBM (United States), NTT DATA Corporation (Japan), Adobe Inc (United States), CVISION Technologies, Inc (United States), LEAD Technologies, Inc (United States), Anyline GmbH (United States), Creaceed (United States), IntSig Information Co. Ltd (China), Foxit (United States) and Prime Recognition Corporation (United States), to name a few.

3. What are the top priorities to focus for Optical Character Recognition (OCR) Software marketís growth?
In this highly competitive & fast evolving Optical Character Recognition (OCR) Software industry, the top strategic priorities would remain consistent like innovation, R&D and M&A.
Report Objectives / Segmentation Covered
By Type
  • Software
  • Services
By Application
  • Media & Entertainment
  • IT & Telecom
  • BFSI
  • Transport and Logistics
  • Retail & Manufacturing
  • Others
By Organization Size
  • Large Size
  • Small and Medium Size

By Regions
    • 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. Increasing Applications of OCR System in Transportation and Logistics Industry
        • 3.2.2. The Warehouses and Drivers Are Increasingly Using Mobile-Based OCR Systems
        • 3.2.3. Improved Customer Service and Increased Security of Documents
      • 3.3. Market Challenges
        • 3.3.1. Lack Of Accuracy in Recognition of Handwritten Material
      • 3.4. Market Trends
        • 3.4.1. Increasing Use of The System
        • 3.4.2. Rising Trend for the ID-Verification Services
    • 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 Optical Character Recognition (OCR) Software, by Type, Application and Organization Size (value and price ) (2015-2020)
      • 5.1. Introduction
      • 5.2. Global Optical Character Recognition (OCR) Software (Value)
        • 5.2.1. Global Optical Character Recognition (OCR) Software by: Type (Value)
          • 5.2.1.1. Software
          • 5.2.1.2. Services
        • 5.2.2. Global Optical Character Recognition (OCR) Software by: Application (Value)
          • 5.2.2.1. Media & Entertainment
          • 5.2.2.2. IT & Telecom
          • 5.2.2.3. BFSI
          • 5.2.2.4. Transport and Logistics
          • 5.2.2.5. Retail & Manufacturing
          • 5.2.2.6. Others
        • 5.2.3. Global Optical Character Recognition (OCR) Software by: Organization Size (Value)
          • 5.2.3.1. Large Size
          • 5.2.3.2. Small and Medium Size
      • 5.3. Global Optical Character Recognition (OCR) Software (Price)
        • 5.3.1. Global Optical Character Recognition (OCR) Software by: Type (Price)
    • 6. Optical Character Recognition (OCR) Software: Manufacturers/Players Analysis
      • 6.1. Competitive Landscape
        • 6.1.1. Market Share Analysis
          • 6.1.1.1. Top 3
          • 6.1.1.2. Top 5
      • 6.2. Peer Group Analysis (2020)
      • 6.3. BCG Matrix
      • 6.4. Company Profile
        • 6.4.1. Microsoft Corporation (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. NTT DATA Corporation (Japan)
          • 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. Adobe Inc (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. CVISION Technologies, Inc (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. LEAD Technologies, Inc (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. Anyline GmbH (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. Creaceed (United States)
          • 6.4.8.1. Business Overview
          • 6.4.8.2. Products/Services Offerings
          • 6.4.8.3. Financial Analysis
          • 6.4.8.4. SWOT Analysis
        • 6.4.9. IntSig Information Co. Ltd (China)
          • 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. Foxit (United States)
          • 6.4.10.1. Business Overview
          • 6.4.10.2. Products/Services Offerings
          • 6.4.10.3. Financial Analysis
          • 6.4.10.4. SWOT Analysis
        • 6.4.11. Prime Recognition Corporation (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
    • 7. Global Optical Character Recognition (OCR) Software Sale, by Type, Application and Organization Size (value and price ) (2021-2026)
      • 7.1. Introduction
      • 7.2. Global Optical Character Recognition (OCR) Software (Value)
        • 7.2.1. Global Optical Character Recognition (OCR) Software by: Type (Value)
          • 7.2.1.1. Software
          • 7.2.1.2. Services
        • 7.2.2. Global Optical Character Recognition (OCR) Software by: Application (Value)
          • 7.2.2.1. Media & Entertainment
          • 7.2.2.2. IT & Telecom
          • 7.2.2.3. BFSI
          • 7.2.2.4. Transport and Logistics
          • 7.2.2.5. Retail & Manufacturing
          • 7.2.2.6. Others
        • 7.2.3. Global Optical Character Recognition (OCR) Software by: Organization Size (Value)
          • 7.2.3.1. Large Size
          • 7.2.3.2. Small and Medium Size
      • 7.3. Global Optical Character Recognition (OCR) Software (Price)
        • 7.3.1. Global Optical Character Recognition (OCR) Software by: Type (Price)
    • 8. Appendix
      • 8.1. Acronyms
    • 9. Methodology and Data Source
      • 9.1. Methodology/Research Approach
        • 9.1.1. Research Programs/Design
        • 9.1.2. Market Size Estimation
        • 9.1.3. Market Breakdown and Data Triangulation
      • 9.2. Data Source
        • 9.2.1. Secondary Sources
        • 9.2.2. Primary Sources
      • 9.3. Disclaimer
    List of Tables
    • Table 1. Optical Character Recognition (OCR) Software: by Type(USD Million)
    • Table 2. Optical Character Recognition (OCR) Software: by Application(USD Million)
    • Table 3. Optical Character Recognition (OCR) Software: by Organization Size(USD Million)
    • Table 4. Optical Character Recognition (OCR) Software: by Type(USD/Units)
    • Table 5. Company Basic Information, Sales Area and Its Competitors
    • Table 6. Company Basic Information, Sales Area and Its Competitors
    • Table 7. Company Basic Information, Sales Area and Its Competitors
    • Table 8. Company Basic Information, Sales Area and Its Competitors
    • Table 9. Company Basic Information, Sales Area and Its Competitors
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Company Basic Information, Sales Area and Its Competitors
    • Table 15. Company Basic Information, Sales Area and Its Competitors
    • Table 16. Optical Character Recognition (OCR) Software: by Type(USD Million)
    • Table 17. Optical Character Recognition (OCR) Software: by Application(USD Million)
    • Table 18. Optical Character Recognition (OCR) Software: by Organization Size(USD Million)
    • Table 19. Optical Character Recognition (OCR) Software: by Type(USD/Units)
    • Table 20. Research Programs/Design for This Report
    • Table 21. Key Data Information from Secondary Sources
    • Table 22. 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 Optical Character Recognition (OCR) Software: by Type USD Million (2015-2020)
    • Figure 5. Global Optical Character Recognition (OCR) Software: by Application USD Million (2015-2020)
    • Figure 6. Global Optical Character Recognition (OCR) Software: by Organization Size USD Million (2015-2020)
    • Figure 7. Global Optical Character Recognition (OCR) Software: by Type USD/Units (2015-2020)
    • Figure 8. Global Optical Character Recognition (OCR) Software share by Players 2020 (%)
    • Figure 9. Global Optical Character Recognition (OCR) Software share by Players (Top 3) 2020(%)
    • Figure 10. Global Optical Character Recognition (OCR) Software share by Players (Top 5) 2020(%)
    • Figure 11. BCG Matrix for key Companies
    • Figure 12. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
    • Figure 13. Microsoft Corporation (United States) Revenue: by Geography 2020
    • Figure 14. IBM (United States) Revenue, Net Income and Gross profit
    • Figure 15. IBM (United States) Revenue: by Geography 2020
    • Figure 16. NTT DATA Corporation (Japan) Revenue, Net Income and Gross profit
    • Figure 17. NTT DATA Corporation (Japan) Revenue: by Geography 2020
    • Figure 18. Adobe Inc (United States) Revenue, Net Income and Gross profit
    • Figure 19. Adobe Inc (United States) Revenue: by Geography 2020
    • Figure 20. CVISION Technologies, Inc (United States) Revenue, Net Income and Gross profit
    • Figure 21. CVISION Technologies, Inc (United States) Revenue: by Geography 2020
    • Figure 22. LEAD Technologies, Inc (United States) Revenue, Net Income and Gross profit
    • Figure 23. LEAD Technologies, Inc (United States) Revenue: by Geography 2020
    • Figure 24. Anyline GmbH (United States) Revenue, Net Income and Gross profit
    • Figure 25. Anyline GmbH (United States) Revenue: by Geography 2020
    • Figure 26. Creaceed (United States) Revenue, Net Income and Gross profit
    • Figure 27. Creaceed (United States) Revenue: by Geography 2020
    • Figure 28. IntSig Information Co. Ltd (China) Revenue, Net Income and Gross profit
    • Figure 29. IntSig Information Co. Ltd (China) Revenue: by Geography 2020
    • Figure 30. Foxit (United States) Revenue, Net Income and Gross profit
    • Figure 31. Foxit (United States) Revenue: by Geography 2020
    • Figure 32. Prime Recognition Corporation (United States) Revenue, Net Income and Gross profit
    • Figure 33. Prime Recognition Corporation (United States) Revenue: by Geography 2020
    • Figure 34. Global Optical Character Recognition (OCR) Software: by Type USD Million (2021-2026)
    • Figure 35. Global Optical Character Recognition (OCR) Software: by Application USD Million (2021-2026)
    • Figure 36. Global Optical Character Recognition (OCR) Software: by Organization Size USD Million (2021-2026)
    • Figure 37. Global Optical Character Recognition (OCR) Software: by Type USD/Units (2021-2026)
    Some of the key companies/manufacturers profiled in the report
    • Microsoft Corporation (United States)
    • IBM (United States)
    • NTT DATA Corporation (Japan)
    • Adobe Inc (United States)
    • CVISION Technologies, Inc (United States)
    • LEAD Technologies, Inc (United States)
    • Anyline GmbH (United States)
    • Creaceed (United States)
    • IntSig Information Co. Ltd (China)
    • Foxit (United States)
    • Prime Recognition Corporation (United States)
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