SPARK Matrix™: Intelligent Document Processing (IDP) 2023

Quadrant Knowledge Solutions’ Intelligent Document Processing market research includes a detailed analysis of the global market regarding short-term and long-term growth opportunities, market trends, and future market outlook. This research provides strategic information for technology vendors to better understand the existing market, supporting their growth strategies; and for users to evaluate different vendors’ capabilities, competitive differentiation, and market position.

The research includes detailed competition analysis and vendor evaluation with the proprietary SPARK Matrix analysis. SPARK Matrix includes ranking and positioning of leading Intelligent Document Processing vendors, with a global impact. The SPARK Matrix includes an analysis of vendors, including – ABBYY, Alkymi, Appian, AYR.ai, Automation Anywhere, Celaton, codemantra, Datamatics, Edgeverve, Eigen Technologies, EXL, Grooper, HCL Technologies, Hyperscience, IBM, Indico Data, Infrrd, JIFFY.ai, Knowledge Lake, Kofax, Laiye, Microsoft, OpenBots, Parascript, Parashift, qBotica, Rossum, SS&C Blue Prism, Straive, UST, UiPath, and WorkFusion.

According to Madhu Kittur, Analyst at Quadrant Knowledge Solutions " The surge in technological advancements continues to drive the evolution of document automation. The integration of innovative capabilities like generative AI and intelligent orchestration further streamlines processes, enabling seamless collaboration and orchestration of tasks. The advent of data fabric revolutionizes data accessibility and usability, empowering enterprises to harness data effectively. Shared control responsibility becomes a pivotal focus, emphasizing collaborative efforts between AI systems and human expertise, ensuring accurate and responsible decision-making.” She further adds, “Leading IDP platform vendors are not only concentrating on augmenting their proprietary platforms with the latest technologies but are also dedicated to curating comprehensive training datasets, delivering automated and continuous AI learning models, identifying and labelling crucial features. This iterative approach ensures continual improvement of models, solidifying the foundations for the future of document automation.”

Table of Contents

• Executive Overview
• Market Definition and Overview
• Competitive Landscape and Analysis
• Key Competitive Factors and Technology Differentiators        
• SPARK Matrix^TM: Strategic Performance Assessment and Ranking        
• Vendors Profiles        
• Research Methodologies

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