Intelligent Document Processing (IDP) Market Size, Share, Opportunities, And Trends By Component (Solutions, Services), By Technology (Optical Character Recognition, Intelligent Character Recognition (ICR), Computer Vision, Natural Language Processing, Robotic Process Automation, Machine Learning / Deep Learning), By Deployment Model (Cloud-based, On-Premise, Hybrid), By Enterprise Size (Large Enterprises, Small and Medium Enterprises), By End-User Industry (Banking and Financial Services (BFSI), Healthcare, Insurance, Government, Retail & E-Commerce, Human Resources), And By Geography – Forecasts From 2025 To 2030

Intelligent Document Processing (IDP) Market Size:

The Intelligent Document Processing (IDP) Market is projected to grow at a CAGR of 10.75% from 2025 to 2030, reaching US$6,401.22 million in 2030 from US$3,841.726 million in 2025.

The intelligent document processing market is witnessing significant growth, driven by increasing demand for automation in document-heavy processes. The market is anticipated to see robust growth with the advancement in AI and relevant technologies. The improved accuracy and efficiency offered by IDP by enabling faster processing time, saving labor cost and automating massive tasks, are key factors driving its market across major key industry verticals like BFSI, healthcare, logistics, retail and others.

Intelligent Document Processing (IDP) Market Overview & Scope:

The Intelligent Document Processing (IDP) Market is segmented by:

• Component: The Intelligent Document Processing (IDP) Market is segmented by component into solutions and services. The solution segment is anticipated to dominate the market.
• Technology: By technology, the market is segmented into optical character recognition, intelligent character recognition (ICR), computer vision, natural language processing, robotic process automation and machine learning or deep learning.
• Deployment Mode: The market operates across three key deployment modes: Cloud-based, on-premise and hybrid. Cloud-based mode offers scalability and accessibility, while on-premise mode offers greater control and data security. Hybrid is also emerging as a preferred option as it combines the benefits of both to support flexible and secure enterprise operations.
•  Enterprise Size: By enterprise size, the market is segmented into large enterprises and small and medium enterprises.
• End-User Industry: Based on end-user industry, the market includes key industry verticals like banking and financial services (BFSI), healthcare, insurance, government, retail & e-commerce, and human resources.
• Region:  The market is segmented into five major geographic regions, namely North America, South America, Europe, the Middle East and Africa and Asia-Pacific. North America leads the market in terms of overall revenue share, while Asia-Pacific is growing at the highest rate.

Top Trends Shaping the Intelligent Document Processing (IDP) Market:

1. Growing Integration of Advanced AI Technologies

• One of the key trends shaping the IDP market is the increasing integration of advanced AI technologies and generative AI technologies, that is enhancing IDP capabilities, giving a boost to the market.
• This advancement in AI technologies and its increasing integration are enbaling IDP systems to handle complex, unstructured documents with greater accuracy and adaptability across diverse formats and languages.
•  For instance, the ABBYY Vantage has pre-trained AI extraction models/Skills to process your specific structured, semi-structured, and unstructured documents and all types of data, with 90% accuracy.

2. Expanding Cloud-Based IDP Solutions

• Cloud-based IDP platforms are becoming popular because they can easily grow with a business, are affordable, and offer flexibility. This makes them useful for both small and medium-sized businesses as well as large companies.
• As per Rossum, a key player in the IDP market, cloud-based solutions have become safe places to store confidential and sensitive data due to technological advances, such as advancements in cloud technology. In 2020, 76% of enterprises used Amazon Web Services (AWS) in their applications, and 63% ran their applications on Microsoft Azure, including those responsible for processing and storing HIPAA, confidential, and sensitive data. Also, 80% of enterprises use third-party cloud applications.

Intelligent Document Processing (IDP) Market Growth Drivers vs. Challenges:

Opportunities:

• Rapid Digital Transformation and Cloud Adoption: The rapid growth in digitalization is one of the key factors that is propelling the IDP market. As per the United Nations 2024 E-Government Survey Edition, there is significant growth in  digital governance, boosted by investments in resilient infrastructure and cutting-edge technologies like artificial intelligence, cloud computing and broadband. As digitalization is increasing across industries, including in governance, organizations are adopting AI-driven IDP systems to efficiently manage explosive document volumes, aligning with broader digital transformation initiatives.
• Operational Efficiency and Intelligent Automation Capabilities offered by IDP: One of the other key drivers is the increasing demand for IDP solutions driven by its ability to deliver significant operational efficiency and intelligent automation across industries. This platform offers a fast document turnaround, enhanced data accuracy and has the ability to process a high volume of structured, semi-structured, and unstructured documents in real time. As per Roboyo, IDP can reduce processing time by 50% or more, eradicating errors and having a radical effect on productivity and efficiency. Also, as per Parseur Statistics, June 2024, the average customer of Parseur document processing tool saves about 150 hours of manual data entry and about $6,413 every month. Thus, the critical features offered by IDP is significantly driving the market.

Challenges:

• Complexity in handling Unstructured and Multilingual Data at Scale:  One of the key challenges, restraining the market, is the high variability of document formats such as handwritten notes, scanned receipts and PDFs. Industries such as healthcare or government often have non-standardised documents, which makes it difficult to handle unstructured data. Also, in regions like Asia-Pacific and Africa, IDP solutions process documents in multiple languages, which makes it very difficult for IDP models to process, as it is primarily trained on English or Latin script languages. For instance, a 3PL Warehouse company, Biagi Bros., encountered difficulties in processing several bills of lading papers in varying formats (As per a case study of Docusmo).

Intelligent Document Processing (IDP) Market Regional Analysis:

• North America: The North American region is the leading market in the intelligent document processing (IDP). The market is mature due to early technology adoption and is anticipated to grow significantly, driven by increasing adoption of advanced technologies for automating tasks and improving efficiency. Additionally, the need for regulatory compliance, such as HIPAA, SOX, and SEC regulations that push organizations toward digitization and audit-ready systems, is also a key factor driving the market.
• Asia-Pacific: The Asia-Pacific region will be growing at the fastest rate during the forecast period, driven by rising digitalization and increasing adoption of AI and cloud services. The region offers huge untapped potential, especially in developing economies. Additionally, the rise in demand for low-cost and scalable cloud infrastructure from mid-sized enterprises and SMEs is further propelling the market to grow. Further, various industries such as BFSI, healthcare, insurance and others like e-commerce are growing and are transitioning towards the reduction of labour-intensive processes are propelling the market.

Intelligent Document Processing (IDP) Market Competitive Landscape:

The market is moderately consolidated, with some important key players such as ABBYY, Tungsten Automation (formerly Kofax), UiPath, Automation Anywhere, Hyperscience, OpenText, Microsoft, IBM, Parascript and Rossum.

• Product Launch: In May 2025, HuLoop launched two new Intelligent Document Processing (IDP) modules as part of its Unified Work Intelligence Platform with document understanding capabilities. It offers a fully integrated, no-code platform that enables companies to increase efficiency in combination with the Intelligent Productivity Discovery (IPD), Intelligent Process Automation (IPA) and Intelligent Test Automation (ITA) modules.
• Product Upgradation: In November 2024, Tungsten Automation releases TotalAgility 8.1. It is a platform update that significantly enhances and accelerates the creation of intelligent processes and AI agents to autonomously gather information, make decisions, and execute tasks. TotalAgility 8.1 optimizes the creation of intelligent processes and AI agents by seamlessly integrating IDP, BPM, RPA, Large Language Models (LLMs), AI Knowledge Bases, and Decision Management capabilities. It also enhances the Tungsten Copilot’s search and retrieval capabilities, incorporating conversational AI to drive innovation across the platform. It has also elevated its IDP and data extraction capabilities.
• Product Innovation: In March 2024, Mphasis launched an intelligent document processing named DeepInsights Doc AI. DeepInsights Doc AI offers a tailored LLM solution designed for enterprise-specific requirements around document processing, covering Information Extraction, Information Discovery, Context-Aware Search, and Insight Generation with Recommendations, while offering customizable as per enterprise needs.

Intelligent Document Processing (IDP) Market Segmentation:

By Component

• Solutions
• Services

By Technology

• Optical Character Recognition
• Intelligent Character Recognition (ICR)
• Computer Vision
• Natural Language Processing
• Robotic Process Automation
• Machine Learning / Deep Learning

By Deployment Model

• Cloud-based
• On-Premise
• Hybrid

By Enterprise Size

• Large Enterprises
• Small and Medium Enterprises

By End-User Industry

• Banking and Financial Services (BFSI)
• Healthcare
• Insurance
• Government
• Retail & E-Commerce
• Human Resources

By Region

• North America
  • USA
  • Canada
  • Mexico
• South America
  • Brazil
  • Others
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Others
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Others
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Others

1. EXECUTIVE SUMMARY 

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE 

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities 

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations 

3.7. Strategic Recommendations 

4. TECHNOLOGICAL OUTLOOK

5. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY COMPONENT

5.1. Introduction

5.2. Solutions

5.3. Services

6. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY TECHNOLOGY

6.1. Introduction

6.2. Optical Character Recognition

6.3. Intelligent Character Recognition (ICR)

6.4. Computer Vision

6.5. Natural Language Processing

6.6. Robotic Process Automation

6.7. Machine Learning / Deep Learning

7. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY DEPLOYMENT MODE

7.1. Introduction

7.2. Cloud-based

7.3. On-Premise

7.4. Hybrid

8. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY ENTERPRISE SIZE

8.1. Introduction

8.2. Large Enterprises

8.3. Small and Medium Enterprises

9. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY END-USER INDUSTRY

9.1. Introduction

9.2. Banking and Financial Services (BFSI)

9.3. Healthcare

9.4. Insurance

9.5. Government

9.6. Retail & E-Commerce

9.7. Human Resources

10. INTELLIGENT DOCUMENT PROCESSING (IDP) MARKET BY GEOGRAPHY

10.1. Introduction

10.2. North America

10.2.1. By Component

10.2.2. By Technology

10.2.3. By Deployment Mode

10.2.4. By Enterprise Size

10.2.5. By End-User Industry

10.2.6. By Country

10.2.6.1. USA

10.2.6.2. Canada

10.2.6.3. Mexico

10.3. South America

10.3.1. By Component

10.3.2. By Technology

10.3.3. By Deployment Mode

10.3.4. By Enterprise Size

10.3.5. By End-User Industry

10.3.6. By Country

10.3.6.1. Brazil

10.3.6.2. Argentina

10.3.6.3. Others

10.4. Europe

10.4.1. By Component

10.4.2. By Technology

10.4.3. By Deployment Mode

10.4.4. By Enterprise Size

10.4.5. By End-User Industry

10.4.6. By Country

10.4.6.1. United Kingdom

10.4.6.2. Germany

10.4.6.3. France

10.4.6.4. Spain

10.4.6.5. Others

10.5. Middle East and Africa

10.5.1. By Component

10.5.2. By Technology

10.5.3. By Deployment Mode

10.5.4. By Enterprise Size

10.5.5. By End-User Industry

10.5.6. By Country

10.5.6.1. Saudi Arabia

10.5.6.2. UAE

10.5.6.3. Others

10.6. Asia Pacific

10.6.1. By Component

10.6.2. By Technology

10.6.3. By Deployment Mode

10.6.4. By Enterprise Size

10.6.5. By End-User Industry

10.6.6. By Country

10.6.6.1. China

10.6.6.2. Japan

10.6.6.3. India

10.6.6.4. South Korea

10.6.6.5. Taiwan

10.6.6.6. Others

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

11.1. Major Players and Strategy Analysis

11.2. Market Share Analysis

11.3. Mergers, Acquisitions, Agreements, and Collaborations

11.4. Competitive Dashboard

12. COMPANY PROFILES

12.1. ABBYY USA Software House, Inc.

12.2. Tungsten Automation Corporation

12.3. UiPath Inc.

12.4. Automation Anywhere, Inc.

12.5. Hyperscience, Inc.

12.6. Open Text Corporation

12.7. Microsoft Corporation

12.8. IBM Corporation

12.9. Parascript, LLC

12.10. Rossum Ltd.

13. APPENDIX

13.1. Currency 

13.2. Assumptions

13.3. Base and Forecast Years Timeline

13.4. Key benefits for the stakeholders

13.5. Research Methodology 

13.6. Abbreviations 

ABBYY USA Software House, Inc.

Tungsten Automation Corporation

UiPath Inc.

Automation Anywhere, Inc.

Hyperscience, Inc.

Open Text Corporation

Microsoft Corporation

IBM Corporation

Parascript, LLC

Rossum Ltd.