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Industry Landscape

The Intelligent Document Processing (IDP) market is rapidly expanding, driven by the increasing need for automated data extraction and processing from unstructured documents. AI and machine learning advancements are transforming how businesses handle vast volumes of information, leading to enhanced efficiency, compliance, and actionable insights. Integration with existing enterprise systems is a key trend.

Industries:
AIDocument AutomationData ExtractionEnterprise AICognitive Automation

Total Assets Under Management (AUM)

Global Intelligent Document Processing Market Size in United States

~2.81 billion USD (2023)

(29.9% CAGR)

- North America leads market share.

- Growing adoption of AI and ML.

- Demand for automation across industries.

Total Addressable Market

5.68 billion USD

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Generative AI for Document Creation & Analysis

Generative AI models are evolving beyond extraction to dynamically generate documents, summarize complex information, and assist in contract drafting, significantly reducing manual effort and speeding up workflows.

Explainable AI (XAI) in IDP

XAI focuses on making AI decisions transparent and understandable, crucial for trust and compliance in IDP, particularly in regulated industries like finance and healthcare, by providing insights into how data extraction and insights are derived.

Federated Learning for Data Privacy

Federated learning allows AI models to train on decentralized datasets without direct data sharing, enhancing privacy and security while improving model accuracy across different organizations, addressing a key concern in sensitive document processing.

Impactful Policy Frameworks

AI Risk Management Framework (AI RMF 1.0) - NIST (2023)

Published by the National Institute of Standards and Technology, the AI RMF 1.0 provides voluntary guidance for organizations to manage risks associated with AI, emphasizing trustworthy and responsible development and use of AI systems.

This framework encourages businesses like Docugami to adopt robust risk management practices for their AI solutions, fostering greater trust and potentially influencing future mandatory AI regulations.

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)

Issued by President Biden, this comprehensive EO directs federal agencies to establish new standards for AI safety and security, protect privacy, advance equity, and promote innovation and competition in AI.

The EO signals a strong governmental focus on responsible AI, potentially leading to new compliance requirements for AI providers like Docugami, particularly concerning data privacy and security measures.

California Privacy Rights Act (CPRA) - CCPA Amendment (2020, effective 2023)

The CPRA significantly expands upon the California Consumer Privacy Act (CCPA), granting consumers more control over their personal information and establishing the California Privacy Protection Agency (CPPA) for enforcement.

Docugami, as a processor of potentially sensitive document data, must ensure its data handling practices and customer agreements align with CPRA's stricter data minimization, storage limitation, and consumer rights provisions.

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