Intelligent Document Processing (IDP) State of the Market Report 2020 – Leave No Page Unturned With AI

9 Jun 2020
by Anil Vijayan, Ashwin Gopakumar, Samikshya Meher

Everest Group defines Intelligent Document Processing (IDP) as the capturing of data from documents (e.g., email, text, PDFs, and scanned documents), its categorization, and extraction for further processing using AI technologies such as computer vision, Optical Character Recognition (OCR), Natural Language Processing (NLP), and machine/deep learning. These solutions are typically non-invasive and can be integrated with internal applications, systems, and other automation platforms. They not only help enterprises achieve cost savings, but also improve their productivity and employee and customer experience. With increasing applications across business functions and verticals, these products are rapidly becoming more sophisticated in their capabilities, features, and functionalities.

However, the lack of data for training, internal resistance, limited understanding of IDP solutions, expectations mismatch, and difficulty in estimating total benefits still pose a challenge to IDP adoption.

This research provides IDP buyers, software vendors, and third-party enablers (service providers, system integrators, etc.) a detailed view of the current state of the market and analyzes it across various dimensions, including market size & adoption trends, buyer satisfaction, product capabilities & trends, solution characteristics, vendor landscape, challenges to IDP adoption, and outlook for 2020-2021.


  • All geographies and industries
  • IDP software products that leverage AI / cognitive capabilities and are available for independent licensing have been considered for this report. These products are offered as either platforms that allow enterprises to deploy them as out-of-the box solutions using pre-built modules or as custom solutions that help classify and extract data from documents
  • We have analyzed the following technology vendors as part of this report: ABBYY, AntWorks, Automation Anywhere, BIS, Datamatics, EdgeVerve, Ephesoft, Evolution AI, HCL Technologies, Hyperscience, Ikarus, Infrrd, Kofax, OpenText, Parascript, Rossum, UST SmartOps, and WorkFusion


In this research, we study the following topics:

  • Introduction to IDP
  • IDP market size & adoption trends
  • Buyer expectations
  • IDP product capabilities & trends
  • IDP solution characteristics
  • IDP vendor landscape
  • Challenges to IDP adoption
  • Best practices
  • Outlook for 2020-2021


Service Optimization Technologies (SOT)


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