지능형 문서 처리 시장 - 규모, 점유율, 성장 및 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of Intelligent Document Processing (IDP) Market

The global Intelligent Document Processing (IDP) market was valued at USD 10.57 billion in 2025. The market is projected to grow from USD 14.16 billion in 2026 to USD 91.02 billion by 2034, registering a strong CAGR of 26.20% during the forecast period.

North America dominated the global market with a 47.60% share in 2025, driven by high adoption of automation technologies, regulatory compliance requirements, and strong digital infrastructure.

IDP refers to workflow automation technology that combines Optical Character Recognition (OCR), Artificial Intelligence (AI), and Machine Learning (ML) to extract, classify, and process structured and unstructured data from documents such as PDFs, Word files, spreadsheets, emails, and scanned images. The technology enables organizations to automate repetitive document-heavy tasks without human intervention.

Market Trends

Rising Adoption in Healthcare Sector

The healthcare sector is emerging as a significant growth area for IDP solutions. Hospitals and healthcare providers generate massive volumes of patient records, insurance claims, billing data, and clinical documentation.

IDP helps streamline administrative tasks, digitize patient records, improve compliance, and enhance operational efficiency. It also supports fraud detection and accelerates clinical research processing.

For instance, in March 2023, HARMAN and Infor collaborated to integrate Intelligent Healthcare Platform (IHP) capabilities into provider systems such as Electronic Health Records (EHRs), improving transparency and operational intelligence.

Market Growth Drivers

Growing Importance of Low-Code and No-Code Automation

The increasing prominence of low-code and no-code platforms is significantly fueling IDP adoption. Enterprises are integrating IDP solutions into low-code systems to create fully automated workflows for handling structured and unstructured data.

Industry experts project that 75% of all new applications will be developed using low-code platforms by 2026, with 80% of users being non-IT developers. Integrating IDP with such platforms reduces development costs, accelerates automation, and enhances productivity.

Additionally, the shift toward remote work accelerated the need for digital document processing tools to ensure business continuity and collaboration.

Market Restraints

Despite strong growth prospects, accuracy and reliability challenges remain concerns. IDP systems may struggle with poor-quality scans, template deviations, or complex document formats.

Handling diverse document types such as invoices, contracts, forms, and emails adds complexity in maintaining precision levels. These issues may hinder adoption among organizations requiring extremely high data accuracy.

Segmentation Analysis

By Function

• Finance & Accounting dominated the market with 45.57% share in 2026, driven by automation of KYC, AML compliance, invoice processing, and financial document validation.
• Supply Chain & Procurement is projected to grow at the highest CAGR, as IDP enhances efficiency by extracting data from purchase orders and invoices quickly and accurately.

By Deployment Model

• Cloud-Based Solutions held the largest share of 65.18% in 2026 and are expected to grow at the highest CAGR. Cloud solutions provide access to advanced AI, ML, and Natural Language Processing (NLP) technologies.
• On-Premises Solutions offer enhanced data control and security, preferred by enterprises managing highly sensitive information.

By Enterprise Type

• Large Enterprises accounted for 61.54% share in 2026, as they process vast volumes of documents daily and benefit significantly from automation.
• SMEs are expected to grow at the highest CAGR due to increasing digitalization and the need for cost-efficient automation solutions.

By Industry

• BFSI led the market in 2024 due to adoption for loan processing, claims management, and compliance documentation.
• Healthcare & Life Sciences is expected to grow at the highest CAGR, driven by digital patient record management and insurance claim automation.

Regional Insights

North America (USD 5.04 Billion in 2025)

North America was valued at USD 5.04 billion in 2025 and remains the dominant region. Financial institutions in the U.S. adopt IDP solutions to comply with regulations such as Dodd-Frank and AML laws. The U.S. market is projected to reach USD 5.07 billion by 2026.

In March 2024, ABBYY partnered with Novelis to enhance intelligent automation capabilities in the U.S.

Asia Pacific

Asia Pacific is expected to grow at the highest CAGR. Government agencies are digitizing public records to enhance service delivery. By 2026, Japan is projected to reach USD 0.44 billion, China USD 0.75 billion, and India USD 0.28 billion.

Europe

Europe is witnessing strong adoption across healthcare and pharmaceutical industries. The UK market is projected to reach USD 0.57 billion by 2026, while Germany is expected to reach USD 0.56 billion by 2026.

Middle East & Africa & South America

Digital transformation initiatives in GCC countries and healthcare automation in South America are driving steady market growth.

Competitive Landscape

Key players in the market include ABBYY, UiPath, Rossum, IBM Corporation, Open Text Corporation, AntWorks, Hyperscience, Automation Anywhere, Hyland Software, and Tungsten Automation Corporation.

Companies are focusing on acquisitions, product launches, and AI integration. For instance:

• May 2024: ABBYY launched a redesigned AI marketplace.
• February 2024: Rossum introduced its Aurora LLM-powered IDP platform.
• February 2024: OpenText updated its Intelligent Capture solution.

Conclusion

The Intelligent Document Processing (IDP) market is poised for rapid expansion, growing from USD 10.57 billion in 2025 to USD 91.02 billion by 2034. Strong demand for automation, cloud-based AI solutions, regulatory compliance, and digital transformation across BFSI, healthcare, and government sectors are key growth drivers. Although accuracy challenges and implementation complexities remain, advancements in AI, ML, and low-code technologies are expected to significantly accelerate global market adoption during the forecast period.

Segmentation By Function

• Finance & Accounting
• Human Resources
• Supply Chain & Procurement
• Others (Legal and Marketing)

By Deployment Model

• On-premises
• Cloud

By Enterprise Type

• SMEs
• Large Enterprises

By Industry

• BFSI
• Healthcare & Life Sciences
• Retail & E-commerce
• Manufacturing
• Government
• IT & Telecom
• Others (Construction, Travel & Transportation, and Energy & Power)

By Region

• North America (By Function, By Deployment Model, By Enterprise Type, By Industry, and By Country)
  • U.S. (By Function)
  • Canada (By Function)
  • Mexico (By Function)
• South America (By Function, By Deployment Model, By Enterprise Type, By Industry, and By Country)
  • Brazil (By Function)
  • Argentina (By Function)
  • Rest of South America
• Europe (By Function, By Deployment Model, By Enterprise Type, By Industry, and By Country)
  • U.K. (By Function)
  • Germany (By Function)
  • France (By Function)
  • Italy (By Function)
  • Spain (By Function)
  • Russia (By Function)
  • Benelux (By Function)
  • Nordics (By Function)
  • Rest of Europe
• Middle East & Africa (By Function, By Deployment Model, By Enterprise Type, By Industry, and By Country)
  • Turkey (By Function)
  • Israel (By Function)
  • GCC (By Function)
  • North Africa (By Function)
  • South Africa (By Function)
  • Rest of the Middle East & Africa
• Asia Pacific (By Function, By Deployment Model, By Enterprise Type, By Industry, and By Country)
  • China (By Function)
  • India (By Function)
  • Japan (By Function)
  • South Korea (By Function)
  • ASEAN (By Function)
  • Oceania (By Function)
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Intelligent Document Processing (IDP) Key Players Market Share/Ranking, 2025

5. Global Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Function (USD)
  • 5.2.1. Finance & Accounting
  • 5.2.2. Human Resources
  • 5.2.3. Supply Chain & Procurement
  • 5.2.4. Others (Legal and Marketing)
• 5.3. By Deployment Model (USD)
  • 5.3.1. On-premises
  • 5.3.2. Cloud
• 5.4. By Enterprise Type (USD)
  • 5.4.1. SMEs
  • 5.4.2. Large Enterprises
• 5.5. By Industry (USD)
  • 5.5.1. BFSI
  • 5.5.2. Healthcare & Life Sciences
  • 5.5.3. Retail & E-commerce
  • 5.5.4. Manufacturing
  • 5.5.5. Government
  • 5.5.6. IT & Telecom
  • 5.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Middle East & Africa
  • 5.6.5. Asia Pacific

6. North America Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Function (USD)
  • 6.2.1. Finance & Accounting
  • 6.2.2. Human Resources
  • 6.2.3. Supply Chain & Procurement
  • 6.2.4. Others (Legal and Marketing)
• 6.3. By Deployment Model (USD)
  • 6.3.1. On-premises
  • 6.3.2. Cloud
• 6.4. By Enterprise Type (USD)
  • 6.4.1. SMEs
  • 6.4.2. Large Enterprises
• 6.5. By Industry (USD)
  • 6.5.1. BFSI
  • 6.5.2. Healthcare & Life Sciences
  • 6.5.3. Retail & E-commerce
  • 6.5.4. Manufacturing
  • 6.5.5. Government
  • 6.5.6. IT & Telecom
  • 6.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 6.6. By Country (USD)
  • 6.6.1. United States
    • 6.6.1.1. By Function
  • 6.6.2. Canada
    • 6.6.2.1. By Function
  • 6.6.3. Mexico
    • 6.6.3.1. By Function

7. South America Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Function (USD)
  • 7.2.1. Finance & Accounting
  • 7.2.2. Human Resources
  • 7.2.3. Supply Chain & Procurement
  • 7.2.4. Others (Legal and Marketing)
• 7.3. By Deployment Model (USD)
  • 7.3.1. On-premises
  • 7.3.2. Cloud
• 7.4. By Enterprise Type (USD)
  • 7.4.1. SMEs
  • 7.4.2. Large Enterprises
• 7.5. By Industry (USD)
  • 7.5.1. BFSI
  • 7.5.2. Healthcare & Life Sciences
  • 7.5.3. Retail & E-commerce
  • 7.5.4. Manufacturing
  • 7.5.5. Government
  • 7.5.6. IT & Telecom
  • 7.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 7.6. By Country (USD)
  • 7.6.1. Brazil
    • 7.6.1.1. By Function
  • 7.6.2. Argentina
    • 7.6.2.1. By Function
  • 7.6.3. Rest of South America

8. Europe Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Function (USD)
  • 8.2.1. Finance & Accounting
  • 8.2.2. Human Resources
  • 8.2.3. Supply Chain & Procurement
  • 8.2.4. Others (Legal and Marketing)
• 8.3. By Deployment Model (USD)
  • 8.3.1. On-premises
  • 8.3.2. Cloud
• 8.4. By Enterprise Type (USD)
  • 8.4.1. SMEs
  • 8.4.2. Large Enterprises
• 8.5. By Industry (USD)
  • 8.5.1. BFSI
  • 8.5.2. Healthcare & Life Sciences
  • 8.5.3. Retail & E-commerce
  • 8.5.4. Manufacturing
  • 8.5.5. Government
  • 8.5.6. IT & Telecom
  • 8.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
    • 8.6.1.1. By Function
  • 8.6.2. Germany
    • 8.6.2.1. By Function
  • 8.6.3. France
    • 8.6.3.1. By Function
  • 8.6.4. Italy
    • 8.6.4.1. By Function
  • 8.6.5. Spain
    • 8.6.5.1. By Function
  • 8.6.6. Russia
    • 8.6.6.1. By Function
  • 8.6.7. Benelux
    • 8.6.7.1. By Function
  • 8.6.8. Nordics
    • 8.6.8.1. By Function
  • 8.6.9. Rest of Europe

9. Middle East & Africa Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Function (USD)
  • 9.2.1. Finance & Accounting
  • 9.2.2. Human Resources
  • 9.2.3. Supply Chain & Procurement
  • 9.2.4. Others (Legal and Marketing)
• 9.3. By Deployment Model (USD)
  • 9.3.1. On-premises
  • 9.3.2. Cloud
• 9.4. By Enterprise Type (USD)
  • 9.4.1. SMEs
  • 9.4.2. Large Enterprises
• 9.5. By Industry (USD)
  • 9.5.1. BFSI
  • 9.5.2. Healthcare & Life Sciences
  • 9.5.3. Retail & E-commerce
  • 9.5.4. Manufacturing
  • 9.5.5. Government
  • 9.5.6. IT & Telecom
  • 9.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 9.6. By Country (USD)
  • 9.6.1. Turkey
    • 9.6.1.1. By Function
  • 9.6.2. Israel
    • 9.6.2.1. By Function
  • 9.6.3. GCC
    • 9.6.3.1. By Function
  • 9.6.4. North Africa
    • 9.6.4.1. By Function
  • 9.6.5. South Africa
    • 9.6.5.1. By Function
  • 9.6.6. Rest of MEA

10. Asia Pacific Intelligent Document Processing (IDP) Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Function (USD)
  • 10.2.1. Finance & Accounting
  • 10.2.2. Human Resources
  • 10.2.3. Supply Chain & Procurement
  • 10.2.4. Others (Legal and Marketing)
• 10.3. By Deployment Model (USD)
  • 10.3.1. On-premises
  • 10.3.2. Cloud
• 10.4. By Enterprise Type (USD)
  • 10.4.1. SMEs
  • 10.4.2. Large Enterprises
• 10.5. By Industry (USD)
  • 10.5.1. BFSI
  • 10.5.2. Healthcare & Life Sciences
  • 10.5.3. Retail & E-commerce
  • 10.5.4. Manufacturing
  • 10.5.5. Government
  • 10.5.6. IT & Telecom
  • 10.5.7. Others (Construction, Travel & Transportation, and Energy & Power)
• 10.6. By Country (USD)
  • 10.6.1. China
    • 10.6.1.1. By Function
  • 10.6.2. India
    • 10.6.2.1. By Function
  • 10.6.3. Japan
    • 10.6.3.1. By Function
  • 10.6.4. South Korea
    • 10.6.4.1. By Function
  • 10.6.5. ASEAN
    • 10.6.5.1. By Function
  • 10.6.6. Oceania
    • 10.6.6.1. By Function
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. ABBYY
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Current Revenue
    • 11.1.2.3. Recent Developments
• 11.2. Rossum
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Current Revenue
    • 11.2.2.3. Recent Developments
• 11.3. AntWorks
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Current Revenue
    • 11.3.2.3. Recent Developments
• 11.4. Hyperscience
  • 11.4.1. Overview
  • 11.4.2. Key Management
  • 11.4.3. Headquarters
  • 11.4.4. Offerings/Business Segments
  • 11.4.5. Recent Developments
• 11.5. UiPath
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. IBM Corporation
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Open Text Corporation
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Automation Anywhere, Inc.
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Current Revenue
    • 11.8.2.3. Recent Developments
• 11.9. Hyland Software, Inc.
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Current Revenue
    • 11.9.2.3. Recent Developments
• 11.10. Tungsten Automation Corporation
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Current Revenue
    • 11.10.2.3. Recent Developments