세계의 지능형 문서 처리 시장 : 제공 내용별(솔루션, 서비스), 구축 방식별(클라우드, 온프레미스), 기술별(ML, 컴퓨터 비전, NLP, RPA, OCR), 최종 사용자별(은행/금융서비스/보험(BFSI), 정부/공공기관, 기타), 지역별 - 예측(-2031년)

Global Intelligent Document Processing Market by Offering (Solutions, Services), Deployment Mode (Cloud, On-premise), Technology (ML, Computer Vision, NLP, RPA, OCR), End Users (BFSI, Government & Public Sector, & Others) & Geography-Forecast to 2031

The research report titled, 'Global Intelligent Document Processing Market by Offering (Solutions, Services), Deployment Mode (Cloud, On-premise), Technology (ML, Computer Vision, NLP, RPA, OCR), End Users (BFSI, Government & Public Sector, & Others) & Geography-Forecast to 2031', provides in-depth analysis of intelligent document processing market across five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2031.

The intelligent document processing market is projected to reach $9.18 billion by 2031, at a CAGR of 25.8% from 2024 to 2031. The growth of this market is driven by the rising inclination of enterprises toward digital transformation and the integration of AI for document processing. In addition, the increasing adoption of cloud-based solutions, increasing human-in-the-loop approach in intelligent document processing, and growing use of intelligent document processing for real-time applications are expected to offer significant growth opportunities for the stakeholders in the intelligent document processing market.

However, persistent issues in processing handwritten documents may restrain the market's growth. Furthermore, the data security and privacy shortcomings of existing document processing solutions are expected to challenge the growth of the intelligent document processing market. Additionally, the integration of generative AI in intelligent document processing and the shift of enterprises from traditional data-storing methods to digital methods are the key trends in the intelligent document processing market.

The intelligent document processing market is segmented by offering (solutions and services (consulting services, deployment & integration services, support & maintenance services)), deployment mode (cloud-based deployment and on-premise deployment), and technology (machine learning (ML), computer vision, natural language processing (NLP), optical character recognition (OCR), and robotic process automation (RPA)), and end-use industry (BFSI, government & public sector, education, healthcare & pharmaceutical, manufacturing, retail & E-commerce, transportation and logistics, media & entertainment, law firms, and other end-use industries). The study also evaluates industry competitors and analyzes the market at the regional and country levels.

Based on offering, the global intelligent document processing market is broadly segmented into solutions and services. In 2024, the solutions segment is expected to account for a larger share of over 72.0% of the global intelligent document processing market. The large market share of this segment is attributed to factors such as the rising need of enterprises to process unstructured and semi-structured information from documents such as emails and images into structured, usable information, and consistent generation of a high volume of documents in enterprises, and availability of solutions for processing unstructured and semi-structured documents.

In addition, the increasing focus of several key players operating in the intelligent document processing market on partnerships to broaden their range of expertise in digitization is also contributing to the large market share. For instance, in November 2024, Kodak Alaris Inc. (U.S.), a pioneer and expert in intelligent document processing, partnered with KYOCERA Document Solutions France SAS (France), a provider of document capture solutions. This partnership aims to strengthen its range of solutions to respond to customer issues related to digital transformation.

Moreover, the solutions segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing adoption of intelligent document processing solutions for automating data extraction, classification, and verification processes and the integration of AI technologies to gain greater efficiencies in document processing.

In addition, several players operating in the intelligent document processing market undertaking initiatives to integrate AI models for greater efficiencies is also contributing to segment growth. For instance, in January 2024, TCG Process (Switzerland), a provider of intelligent document processing and process automation software, announced a new integration of large language models (LLMs) developed by Lazarus Enterprises Inc. (U.S.) to their input management and automation product DocProStar to gain greater efficiencies when automating document and media-centric business processes.

Based on deployment mode, the global intelligent document processing market is segmented into cloud-based deployment and on-premise deployment. In 2024, the cloud-based deployment segment is expected to account for a larger share of over 80.0% of the global intelligent document processing market. The large market share of this segment is attributed to the increased availability of cloud-based intelligent document processing solutions and their benefits, such as scalability, maintenance-free, and relatively fast implementation. For instance, UiPath (U.S.) provides Intelligent Document Processing & Specialized AI with Automation Cloud for the fastest updates and the scalability and flexibility to automate document processing.

Moreover, the cloud-based deployment segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by factors such as increasing adoption of cloud-based intelligent document processing solutions, growing awareness about the benefits of cloud-based solutions, and increasing robust security and compliance features in cloud-based solutions that help to address data security and privacy concerns.

Based on technology, the global intelligent document processing market is segmented into machine learning (ML), computer vision, natural language processing (NLP), optical character recognition (OCR), and robotic process automation (RPA). In 2024, the machine learning (ML) segment is expected to account for the largest share of over 41.0% of the global intelligent document processing market. The large market share of this segment is attributed to the increasing use of machine learning (ML) for document classification, data capture, and extraction and continuous improvement in the ML model to achieve efficiency in document processing.

In addition, several players operating in the market utilize machine learning (ML) technology in their platforms to obtain the best extraction result. For instance, Infrrd Inc. (U.S.) provides an IDP solution that uses a combination of coherent machine learning algorithms, deep learning models, OCR capabilities, and deskew techniques and mechanisms to ensure exceptional skew correction results.

However, the natural language processing (NLP) segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the increasing use of natural language processing (NLP) to analyze free-flowing text in documents, understand the context and the growing application of NLP for processing semi-structured and unstructured documents in enterprises.

In addition, several key players are increasing investment in natural language processing (NLP) technology to strengthen their intelligent document processing offerings. For instance, in August 2022, UiPath (U.S.), a leading enterprise automation software company, acquired Reinfer Ltd. (U.K.), an NLP company for unstructured documents and communications. The goal was to combine Reinfer's NLP technology with UiPath's Document Understanding and AI products to expand the breadth of UiPath's current AI-powered automation capabilities and unlock new automation opportunities for their customers.

Based on end-use industry, the global intelligent document processing market is segmented into BFSI, government & public sector, education, healthcare & pharmaceutical, manufacturing, retail & E-commerce, transportation and logistics, media & entertainment, law firms, and other end-use industries. In 2024, the BFSI segment is expected to account for the largest share of over 29.0% of the global intelligent document processing market. The large market share of this segment is attributed to the constant generation of banking, financial, and signed forms documents on a daily basis and the increasing adoption of intelligent document processing to digitize the processing of insurance forms to reduce manual processing.

Several BFSI enterprises are integrating intelligent document processing solutions to reduce the overall work time for document processing, which is also contributing to a large market share. For instance, in June 2022, ITOCHU Corporation (Japan), one of Japan's largest trading companies, integrated ABBYY's intelligent document processing (IDP) platform with its digital transformation (DX) platform to improve the efficiency of paper-based order transactions.

However, the government & public sector segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the rising need for digitization, modernizing government operations, and increasing use of intelligent document processing solutions to extract relevant information from legal documents, contracts, and policy reports, as well as for automatically capturing and processing financial data from invoices, receipts, and expense reports.

Key players are working with several government entities to digitize and automate the slowest, most dated document- and data-heavy processes. For instance, in March 2024, Hyperscience (U.S.), a provider of intelligent document processing solutions, announced that it is on track to surpass one billion processed documents for the U.S. Government.

Based on geography, the global intelligent document processing market is segmented into North America, Asia-Pacific, Europe, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of over 38.0% of the global intelligent document processing market. The large market share of the region is attributed to factors such as the presence of leading intelligent document processing solutions providers such as ABBYY (U.S.), UiPath (U.S.), Tungsten Automation Corporation (U.S.), and IBM Corporation (U.S.), rising government & public sector focus on digitization of workflow, and presence of mature BFSI sector.

Also, the increasing partnerships of several key players to integrate intelligent document processing solutions into the automation platform are contributing to the large market share of this region. For instance, in May 2024, Pipefy Inc. (U.S.), the low-code process automation platform, partnered with ABBYY (U.S.), the industry leader in Intelligent Document Processing (IDP), to offer a powerful integrated solution. The integrated solution fuses Pipefy's process automation capabilities with ABBYY's optical character recognition (OCR) technology.

However, Asia-Pacific is projected to register the highest CAGR of over 27.1% during the forecast period. The growth of this region is driven by factors such as the emergence of regional players, growing government initiatives for digitization, and the increasing focus of several players on the development of intelligent document processing solutions. For instance, in May 2024, Xiao-I Corporation (China), a leading cognitive artificial intelligence ("AI") enterprise, launched its state-of-the-art Intelligent Document Processing ("IDP") product. This innovative solution is delivered by a smart and efficient platform that streamlines and automates the document management process, empowering businesses toward an era of intelligent operations.

Key Players:

The key players operating in the global intelligent document processing market are Tungsten Automation Corporation (U.S.), ABBYY (U.S.), UiPath (U.S.), WorkFusion, Inc. (U.S.), HCL Technologies Limited (India), Infrrd Inc. (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Google LLC (U.S.) SS&C Technologies Holdings, Inc. (U.S.), AntWorks (U.K.), Datamatics Global Services Limited (India), AYR, Inc. (U.S.), Automation Anywhere, Inc. (U.S.), IRIS group SA (Belgium), Open Text Corporation (Canada), SERgroup Holding International GmbH (Germany), Rossum (U.K), Appian Corporation (U.S.), Parascript, LLC (U.S.), and Hyperscience (U.S.).

Key questions answered in the report:

• Which are the high-growth segments in the intelligent document processing market in terms of offering, deployment mode, technology, and end users?
• What is the historical market size for intelligent document processing across the globe?
• What are the intelligent document processing market forecasts and estimates for 2024-2031?
• What are the major drivers, restraints, opportunities, and challenges in the global intelligent document processing market?
• Who are the major players in the global intelligent document processing market, and what are their market shares?
• What is the competitive landscape like?
• What are the recent developments in the global intelligent document processing market?
• What are the different strategies adopted by the major players in the market?
• What are the geographic trends and high-growth countries in the intelligent document processing market?

Scope of the report:

Intelligent Document Processing Market Assessment-by Offering

• Solutions
• Services
  • Consulting Services
  • Deployment & Integration Services
  • Support & Maintenance Services

Intelligent Document Processing Market Assessment-by Deployment Mode

• Cloud-based Deployment
• On-premise Deployment

Intelligent Document Processing Market Assessment-by Technology

• Machine Learning (ML)
• Computer Vision
• Natural Language Processing (NLP)
• Optical Character Recognition (OCR)
• Robotic Process Automation (RPA)

Intelligent Document Processing Market Assessment-by End Users

• BFSI
• Government & Public Sector
• Education
• Healthcare & Pharmaceutical
• Manufacturing
• Retail & E-commerce
• Transportation and Logistics
• Media & Entertainment
• Law Firms
• Other End Users

Intelligent Document Processing Market Assessment-by Country/Region

• North America
  • U.S.
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Rest of Asia-Pacific
• Europe
  • Germany
  • U.K.
  • Italy
  • France
  • Spain
  • Rest of Europe
• Latin America
• Middle East & Africa

TABLE OF CONTENTS

1. Introduction

• 1.1 Market Definition & Scope
• 1.2 Currency & Limitations
  • 1.2.1 Currency
  • 1.2.2 Limitations

2. Research Methodology

• 2.1 Research Approach
• 2.2 Process of Data Collection & Validation
  • 2.2.1 Secondary Research
  • 2.2.2 Primary Research/Interviews with Key Opinion Leaders of the Industry
• 2.3 Market Sizing and Forecast
  • 2.3.1 Market Size Estimation Approach
  • 2.3.2 Growth Forecast Approach
• 2.4 Assumptions for the Study

3. Executive Summary

• 3.1 Market Overview
• 3.2 Market Analysis, by Offering
• 3.3 Market Analysis, by Deployment Mode
• 3.4 Market Analysis, by Technology
• 3.5 Market Analysis, by End Users
• 3.6 Market Analysis, by Geography
• 3.7 Competitive Analysis

4. Market Insights

• 4.1 Overview
• 4.2 Factors Affecting Market Growth
  • 4.2.1 Drivers
    • 4.2.1.1 Rising Inclination of Enterprises towards Digital Transformation
    • 4.2.1.2 Integration of AI for Document Processing
  • 4.2.2 Restraints
    • 4.2.2.1 Persistent Issue in Processing of Handwritten Document
  • 4.2.3 Opportunities
    • 4.2.3.1 Increasing Adoption of Cloud-based Solutions
    • 4.2.3.2 Growing Use of Intelligent Document Processing for Real-time Applications
    • 4.2.3.3 Increasing Human-in-the-loop Approach in Intelligent Document Processing
  • 4.2.4 Challenges
    • 4.2.4.1 Data Security & Privacy Shortcomings of Existing Document Processing Solutions
• 4.3 Trends
• 4.4 Case Studies
• 4.5 Porter's Five Force Analysis
• 4.6 Vendor Selection Criteria/Factors Affecting Buying Decision

5. Intelligent Document Processing Market Assessment-by Offering

• 5.1 Overview
• 5.2 Solutions
• 5.3 Services
  • 5.3.1 Consulting Services
  • 5.3.2 Deployment & Integration Services
  • 5.3.3 Support & Maintenance Services

6. Intelligent Document Processing Market Assessment-by Deployment Mode

• 6.1 Overview
• 6.2 Cloud-based Deployment
• 6.3 On-premise Deployment

7. Intelligent Document Processing Market Assessment-by Technology

• 7.1 Overview
• 7.2 Machine Learning (ML)
• 7.3 Computer Vision
• 7.4 Natural Language Processing (NLP)
• 7.5 Optical Character Recognition (OCR)
• 7.6 Robotic Process Automation (RPA)

8. Intelligent Document Processing Market Assessment-by End Users

• 8.1 Overview
• 8.2 BFSI
• 8.3 Government & Public Sector
• 8.4 Education
• 8.5 Healthcare & Pharmaceutical
• 8.6 Manufacturing
• 8.7 Retail & E-commerce
• 8.8 Transportation and Logistics
• 8.9 Media & Entertainment
• 8.10 Law Firms
• 8.11 Other End Users

9. Intelligent Document Processing Market Assessment-by Geography

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Asia-Pacific
  • 9.3.1 China
  • 9.3.2 Japan
  • 9.3.3 India
  • 9.3.4 South Korea
  • 9.3.5 Rest of Asia-Pacific
• 9.4 Europe
  • 9.4.1 Germany
  • 9.4.2 U.K.
  • 9.4.3 Italy
  • 9.4.4 France
  • 9.4.5 Spain
  • 9.4.6 Rest of Europe
• 9.5 Latin America
• 9.6 Middle East & Africa

10. Competition Analysis

• 10.1 Overview
• 10.2 Key Growth Strategies
• 10.3 Competitive Benchmarking
• 10.4 Competitive Dashboard
  • 10.4.1 Industry Leaders
  • 10.4.2 Market Differentiators
  • 10.4.3 Vanguards
  • 10.4.4 Emerging Companies
• 10.5 Market Ranking, by Key Players

11. Company Profiles (Company Overview, Financial Overview, Product Portfolio, and Strategic Developments)

• 11.1 Tungsten Automation Corporation
• 11.2 ABBYY
• 11.3 UiPath
• 11.4 WorkFusion, Inc.
• 11.5 HCL Technologies Limited
• 11.6 Infrrd Inc.
• 11.7 IBM Corporation
• 11.8 Microsoft Corporation
• 11.9 Google LLC
• 11.10 SS&C Technologies Holdings, Inc.
• 11.11 AntWorks
• 11.12 Datamatics Global Services Limited
• 11.13 AYR, Inc.
• 11.14 Automation Anywhere, Inc.
• 11.15 IRIS group SA
• 11.16 Open Text Corporation
• 11.17 SERgroup Holding International GmbH
• 11.18 Rossum
• 11.19 Appian Corporation
• 11.20 Parascript, LLC
• 11.21 Hyperscience

(Note: SWOT Analysis of the Top 5 Companies Will Be Provided)

12. Appendix

• 12.1 Available Customization
• 12.2 Related Reports