Document ID: CGR-DIG20 | Last Updated: Jun. 23, 2020
| Report Overview |
| Abstract:
Digitization focuses on the capturing and extraction of value from non-digital data by converting it to a usable digital state. Digitalization expands upon the idea of digitization by addressing human-bound processes and processes that have previously been dependent on non-digital information. Digitization and Digitalization are seen as necessary steps to achieve longer-lasting Digital Transformation that organizations seek for greatest efficiency and effectiveness. In this report, we cover the current state of the art for Digitization and Digitalization, explore various industry applications for digitization and digitalization solutions, identify key vendors in the space as well as business models that support digitization, determine how digitization and digitalization fit into the AI landscape, and identify areas for continued research.
Key Findings:
- While digitization is focused on increasing levels of content intelligence, digitalization is focused on increasing levels of process intelligence.
- Business models for digitization vary heavily and depend on the scope of the solution including hardware and software costs, per-document or project service fees, labor costs associated with document pre- and post-processing, document storage, and costs for post-capture analysis software, services, and support.
- Digitization efforts generally classify as Level 0 Content Intelligence activities with some advanced digitization solutions providing Level 1 Content Intelligence capabilities
- Digitalization efforts generally classify as Level 0 Process Intelligence solutions with some advanced digitalization efforts providing Level 1 or Level 2 Process Intelligence capabilities
Report Details:
- 26 Pages
- 3 Tables, 1 Diagram
Vendors Mentioned in Report:
- ABBYY
- Adobe
- Aera
- Alaris (Kodak)
- Amazon (Textract)
- Arago
- Artsyl Technologies
- ATIZ
- Automation Anywhere
- Blue Prism
- Book2Net
- Bookeye
- Brother
- Canon
- CAPSYS Technologies
- Captricity
- CapturePoint
- Catalytic
- CloudScan
- Cruse
- CVISION
- CZUR
- Digitech PaperVision Capture
- DocuLex
- EMC
- enVision
- Ephesoft
- Epson
- Fujitsu
- Hasselblad
- Hyland Software
- i2S
- IBM Corporation
- ibml
- IronMountain
- Knowledge Lake
- Kodak
- Kofax
- Leverton
- Lexmark
- Meniko
- Microsoft
- Mitek
- Nikon
- Notable Solutions
- Nuance
- OmniPage Standard
- Oracle Corp
- Panasonic
- Pega
- PhaseOne
- Readiris
- UiPath
- VIDAR
- VueScan
- Woverine
- Xerox
- Zeta
- Zeutschel
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| Table of Contents |
- Executive Summary 3
- Key Takeaways 3
- Market Overview 4
- Defining Digitization 4
- Document digitization and “Document Capture” 5
- Optical Character Recognition (OCR) and Document Processing 5
- Audio and Video Digitization 6
- Digitization vs. Digitalization 6
- Process Digitalization and Automation 7
- The Relationship between Digitalization and Digital Transformation 7
- State of the Art in Digitization 8
- Components of Digitization 8
- Stages of Digitization 8
- Examples of Digitization 9
- Mortgage Industry Digitization 9
- Insurance Industry Digitization 10
- Healthcare Industry Digitization 11
- Cross-Industry Use Cases 12
- Government Digitization & Digitalization Examples 15
- Mail-in Ballot Handling in Washington State 15
- Digitization at the National Archives and Records Administration 15
- SingPass ID Card System 15
- Industry Capabilities and Business Models 16
- Digitization / “Digital Capture” Hardware 16
- Film or Transparency Scanners 16
- Example Vendor Solutions 16
- Flatbed Document Scanners 17
- Camera-based Systems 17
- Overhead Scanner Systems 17
- Sheet-feeding Scanners 18
- V-Cradle Scanners 18
- Audio and Visual digitization 19
- Digitization Software & Document Processing 19
- Digitization Software / Document Capture Software Solutions 19
- OCR Solutions 20
- Digitization Lifecycle Services 20
- Process Digitalization Software 21
- Application of AI To Digitization and Digitialization 22
- Digitization as Level 0 Content Intelligence 22
- Digitalization as Level 0 Process Intelligence 23
- Future Market Trends and Predictions 25
- Future Report Updates 25
- Related Research 25
- About Cognilytica 26
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| Statement of Opinion & Terms and Conditions of Sale |
| Although Cognilytica believes that the results, conclusions, and analysis produced in support of this report are well informed, comprehensive, and reasonable, Cognilytica cannot guarantee future results, accuracy of market predictions, or applicability of conclusions to report purchaser or reader’s business. Moreover, Cognilytica does not assume responsibility for the accuracy and completeness of such statements. The information derived in this report are statements of opinion only, and Cognilytica shall not be held liable in any manner for any conclusions or actions taken pursuant to this report. The information contained herein has been obtained from sources believed to be reliable. Cognilytica shall have no liability for errors, omissions, or inadequacies in the information contained herein or for interpretations thereof. Report purchaser and/or reader assumes sole responsibility for the selection of these materials to achieve its intended results. The opinions expressed herein are subject to change without notice. Cognilytica does not make open its research methods, underlying data, sources, or means and methods of analysis for inquiry, evaluation, or examination. |
