Intelligent Document Processing Market By Component, By Organization Size, By Deployment Model, By Technology, By End Use Vertical: Global Opportunity Analysis and Industry Forecast, 2021-2031

Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings of the study
2.2. CXO Perspective

CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Top player positioning
3.5. Market dynamics
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
3.6. COVID-19 Impact Analysis on the market

CHAPTER 4: INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country

CHAPTER 5: INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE
5.1 Overview
5.1.1 Market size and forecast
5.2 SMEs
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3 Large Enterprises
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country

CHAPTER 6: INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODEL
6.1 Overview
6.1.1 Market size and forecast
6.2 Cloud
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3 On Premise
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country

CHAPTER 7: INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY
7.1 Overview
7.1.1 Market size and forecast
7.2 Natural Language Processing
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by region
7.2.3 Market share analysis by country
7.3 Optical Character Recognition
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by region
7.3.3 Market share analysis by country
7.4 Machine Learning
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by region
7.4.3 Market share analysis by country
7.5 Artificial Intelligence
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by region
7.5.3 Market share analysis by country
7.6 Others
7.6.1 Key market trends, growth factors and opportunities
7.6.2 Market size and forecast, by region
7.6.3 Market share analysis by country

CHAPTER 8: INTELLIGENT DOCUMENT PROCESSING MARKET, BY END USE VERTICAL
8.1 Overview
8.1.1 Market size and forecast
8.2 BFSI
8.2.1 Key market trends, growth factors and opportunities
8.2.2 Market size and forecast, by region
8.2.3 Market share analysis by country
8.3 Government
8.3.1 Key market trends, growth factors and opportunities
8.3.2 Market size and forecast, by region
8.3.3 Market share analysis by country
8.4 Healthcare
8.4.1 Key market trends, growth factors and opportunities
8.4.2 Market size and forecast, by region
8.4.3 Market share analysis by country
8.5 Retail
8.5.1 Key market trends, growth factors and opportunities
8.5.2 Market size and forecast, by region
8.5.3 Market share analysis by country
8.6 Manufacturing
8.6.1 Key market trends, growth factors and opportunities
8.6.2 Market size and forecast, by region
8.6.3 Market share analysis by country
8.7 Others
8.7.1 Key market trends, growth factors and opportunities
8.7.2 Market size and forecast, by region
8.7.3 Market share analysis by country

CHAPTER 9: INTELLIGENT DOCUMENT PROCESSING MARKET, BY REGION
9.1 Overview
9.1.1 Market size and forecast
9.2 North America
9.2.1 Key trends and opportunities
9.2.2 North America Market size and forecast, by Component
9.2.3 North America Market size and forecast, by Organization Size
9.2.4 North America Market size and forecast, by Deployment Model
9.2.5 North America Market size and forecast, by Technology
9.2.6 North America Market size and forecast, by End Use Vertical
9.2.7 North America Market size and forecast, by country
9.2.7.1 U. S.
9.2.7.1.1 Key market trends, growth factors and opportunities
9.2.7.1.2 Market size and forecast, by Component
9.2.7.1.3 Market size and forecast, by Organization Size
9.2.7.1.4 Market size and forecast, by Deployment Model
9.2.7.1.5 Market size and forecast, by Technology
9.2.7.1.6 Market size and forecast, by End Use Vertical
9.2.7.2 Canada
9.2.7.2.1 Key market trends, growth factors and opportunities
9.2.7.2.2 Market size and forecast, by Component
9.2.7.2.3 Market size and forecast, by Organization Size
9.2.7.2.4 Market size and forecast, by Deployment Model
9.2.7.2.5 Market size and forecast, by Technology
9.2.7.2.6 Market size and forecast, by End Use Vertical
9.3 Europe
9.3.1 Key trends and opportunities
9.3.2 Europe Market size and forecast, by Component
9.3.3 Europe Market size and forecast, by Organization Size
9.3.4 Europe Market size and forecast, by Deployment Model
9.3.5 Europe Market size and forecast, by Technology
9.3.6 Europe Market size and forecast, by End Use Vertical
9.3.7 Europe Market size and forecast, by country
9.3.7.1 Germany
9.3.7.1.1 Key market trends, growth factors and opportunities
9.3.7.1.2 Market size and forecast, by Component
9.3.7.1.3 Market size and forecast, by Organization Size
9.3.7.1.4 Market size and forecast, by Deployment Model
9.3.7.1.5 Market size and forecast, by Technology
9.3.7.1.6 Market size and forecast, by End Use Vertical
9.3.7.2 Italy
9.3.7.2.1 Key market trends, growth factors and opportunities
9.3.7.2.2 Market size and forecast, by Component
9.3.7.2.3 Market size and forecast, by Organization Size
9.3.7.2.4 Market size and forecast, by Deployment Model
9.3.7.2.5 Market size and forecast, by Technology
9.3.7.2.6 Market size and forecast, by End Use Vertical
9.3.7.3 France
9.3.7.3.1 Key market trends, growth factors and opportunities
9.3.7.3.2 Market size and forecast, by Component
9.3.7.3.3 Market size and forecast, by Organization Size
9.3.7.3.4 Market size and forecast, by Deployment Model
9.3.7.3.5 Market size and forecast, by Technology
9.3.7.3.6 Market size and forecast, by End Use Vertical
9.3.7.4 Spain
9.3.7.4.1 Key market trends, growth factors and opportunities
9.3.7.4.2 Market size and forecast, by Component
9.3.7.4.3 Market size and forecast, by Organization Size
9.3.7.4.4 Market size and forecast, by Deployment Model
9.3.7.4.5 Market size and forecast, by Technology
9.3.7.4.6 Market size and forecast, by End Use Vertical
9.3.7.5 UK
9.3.7.5.1 Key market trends, growth factors and opportunities
9.3.7.5.2 Market size and forecast, by Component
9.3.7.5.3 Market size and forecast, by Organization Size
9.3.7.5.4 Market size and forecast, by Deployment Model
9.3.7.5.5 Market size and forecast, by Technology
9.3.7.5.6 Market size and forecast, by End Use Vertical
9.3.7.6 Rest of Europe
9.3.7.6.1 Key market trends, growth factors and opportunities
9.3.7.6.2 Market size and forecast, by Component
9.3.7.6.3 Market size and forecast, by Organization Size
9.3.7.6.4 Market size and forecast, by Deployment Model
9.3.7.6.5 Market size and forecast, by Technology
9.3.7.6.6 Market size and forecast, by End Use Vertical
9.4 Asia-Pacific
9.4.1 Key trends and opportunities
9.4.2 Asia-Pacific Market size and forecast, by Component
9.4.3 Asia-Pacific Market size and forecast, by Organization Size
9.4.4 Asia-Pacific Market size and forecast, by Deployment Model
9.4.5 Asia-Pacific Market size and forecast, by Technology
9.4.6 Asia-Pacific Market size and forecast, by End Use Vertical
9.4.7 Asia-Pacific Market size and forecast, by country
9.4.7.1 China
9.4.7.1.1 Key market trends, growth factors and opportunities
9.4.7.1.2 Market size and forecast, by Component
9.4.7.1.3 Market size and forecast, by Organization Size
9.4.7.1.4 Market size and forecast, by Deployment Model
9.4.7.1.5 Market size and forecast, by Technology
9.4.7.1.6 Market size and forecast, by End Use Vertical
9.4.7.2 Japan
9.4.7.2.1 Key market trends, growth factors and opportunities
9.4.7.2.2 Market size and forecast, by Component
9.4.7.2.3 Market size and forecast, by Organization Size
9.4.7.2.4 Market size and forecast, by Deployment Model
9.4.7.2.5 Market size and forecast, by Technology
9.4.7.2.6 Market size and forecast, by End Use Vertical
9.4.7.3 India
9.4.7.3.1 Key market trends, growth factors and opportunities
9.4.7.3.2 Market size and forecast, by Component
9.4.7.3.3 Market size and forecast, by Organization Size
9.4.7.3.4 Market size and forecast, by Deployment Model
9.4.7.3.5 Market size and forecast, by Technology
9.4.7.3.6 Market size and forecast, by End Use Vertical
9.4.7.4 South Korea
9.4.7.4.1 Key market trends, growth factors and opportunities
9.4.7.4.2 Market size and forecast, by Component
9.4.7.4.3 Market size and forecast, by Organization Size
9.4.7.4.4 Market size and forecast, by Deployment Model
9.4.7.4.5 Market size and forecast, by Technology
9.4.7.4.6 Market size and forecast, by End Use Vertical
9.4.7.5 Rest of Asia-Pacific
9.4.7.5.1 Key market trends, growth factors and opportunities
9.4.7.5.2 Market size and forecast, by Component
9.4.7.5.3 Market size and forecast, by Organization Size
9.4.7.5.4 Market size and forecast, by Deployment Model
9.4.7.5.5 Market size and forecast, by Technology
9.4.7.5.6 Market size and forecast, by End Use Vertical
9.5 LAMEA
9.5.1 Key trends and opportunities
9.5.2 LAMEA Market size and forecast, by Component
9.5.3 LAMEA Market size and forecast, by Organization Size
9.5.4 LAMEA Market size and forecast, by Deployment Model
9.5.5 LAMEA Market size and forecast, by Technology
9.5.6 LAMEA Market size and forecast, by End Use Vertical
9.5.7 LAMEA Market size and forecast, by country
9.5.7.1 Latin America
9.5.7.1.1 Key market trends, growth factors and opportunities
9.5.7.1.2 Market size and forecast, by Component
9.5.7.1.3 Market size and forecast, by Organization Size
9.5.7.1.4 Market size and forecast, by Deployment Model
9.5.7.1.5 Market size and forecast, by Technology
9.5.7.1.6 Market size and forecast, by End Use Vertical
9.5.7.2 Middle East
9.5.7.2.1 Key market trends, growth factors and opportunities
9.5.7.2.2 Market size and forecast, by Component
9.5.7.2.3 Market size and forecast, by Organization Size
9.5.7.2.4 Market size and forecast, by Deployment Model
9.5.7.2.5 Market size and forecast, by Technology
9.5.7.2.6 Market size and forecast, by End Use Vertical
9.5.7.3 Africa
9.5.7.3.1 Key market trends, growth factors and opportunities
9.5.7.3.2 Market size and forecast, by Component
9.5.7.3.3 Market size and forecast, by Organization Size
9.5.7.3.4 Market size and forecast, by Deployment Model
9.5.7.3.5 Market size and forecast, by Technology
9.5.7.3.6 Market size and forecast, by End Use Vertical

CHAPTER 10: COMPANY LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Key developments

CHAPTER 11: COMPANY PROFILES
11.1 ABBYY Solutions Ltd.
11.1.1 Company overview
11.1.2 Company snapshot
11.1.3 Operating business segments
11.1.4 Product portfolio
11.1.5 Business performance
11.1.6 Key strategic moves and developments
11.2 Datamatics Technologies Ltd.
11.2.1 Company overview
11.2.2 Company snapshot
11.2.3 Operating business segments
11.2.4 Product portfolio
11.2.5 Business performance
11.2.6 Key strategic moves and developments
11.3 Deloitte Touche Tohmatsu Limited
11.3.1 Company overview
11.3.2 Company snapshot
11.3.3 Operating business segments
11.3.4 Product portfolio
11.3.5 Business performance
11.3.6 Key strategic moves and developments
11.4 HCL Technologies Limited
11.4.1 Company overview
11.4.2 Company snapshot
11.4.3 Operating business segments
11.4.4 Product portfolio
11.4.5 Business performance
11.4.6 Key strategic moves and developments
11.5 Hyland Software, Inc.
11.5.1 Company overview
11.5.2 Company snapshot
11.5.3 Operating business segments
11.5.4 Product portfolio
11.5.5 Business performance
11.5.6 Key strategic moves and developments
11.6 Infrrd Inc.
11.6.1 Company overview
11.6.2 Company snapshot
11.6.3 Operating business segments
11.6.4 Product portfolio
11.6.5 Business performance
11.6.6 Key strategic moves and developments
11.7 International Business Machines Corporation
11.7.1 Company overview
11.7.2 Company snapshot
11.7.3 Operating business segments
11.7.4 Product portfolio
11.7.5 Business performance
11.7.6 Key strategic moves and developments
11.8 Kodak Alaris (Eastman Kodak Company)
11.8.1 Company overview
11.8.2 Company snapshot
11.8.3 Operating business segments
11.8.4 Product portfolio
11.8.5 Business performance
11.8.6 Key strategic moves and developments
11.9 Kofax Inc.
11.9.1 Company overview
11.9.2 Company snapshot
11.9.3 Operating business segments
11.9.4 Product portfolio
11.9.5 Business performance
11.9.6 Key strategic moves and developments
11.10 WorkFusion, Inc.
11.10.1 Company overview
11.10.2 Company snapshot
11.10.3 Operating business segments
11.10.4 Product portfolio
11.10.5 Business performance
11.10.6 Key strategic moves and developments

Executive Summary

According to this report, titled, 'Intelligent Document Processing Market,' The intelligent document processing market was valued at $1.1 billion in 2021, and is estimated to reach $7.4 billion by 2031, growing at a CAGR of 21.7% from 2022 to 2031.

Intelligent document processing (IDP) is a workflow automation technology that ingests enormous streams of data and extracts, reads, categorizes, and arranges relevant information into usable formats. The system is capable of processing a wide range of document types, including papers, PDFs, Word documents, spreadsheets, and several other forms. IDP's main purpose is to automatically extract useful data from massive data volumes without human intervention. Automating part of your document processing with IDP has several benefits. IDP may do away with the necessity for human data input and processing personnel through the use of artificial intelligence. As a result, data processing may be done more quickly and more affordably, which improves efficiency by lowering human error and speeding up the process.

Key factors driving the growth of the Intelligent document processing market include the rise in the adoption of digitalization, growing dependency on artificial intelligence (AI), and the increasing requirement for improved customer satisfaction. Predictive coding increases the speed of intelligent document processing reviews, resulting in cost savings and efficiently countering the rapid expansion of digital data. AI can also help with text classification, picture classification, voice search, signature detection, tagging, and translation, among other things. As a result, emerging AI analytics coupled with advanced remote computing structure is generating demand for the intelligent document processing market.

The market also offers growth opportunities to the key players in the market. Leading firms in the digital environment are embracing new technologies like artificial intelligence and machine learning. Organizations seek significant determining factors to give their consumers the greatest experience possible and thereby achieve a strategic advantage. Real-time updates are a key component of today's focus on improving customer experiences. Organizations may improve internal communication and production, which will raise consumer satisfaction levels.

The global intelligent document processing market research is segmented into components, organization size, deployment, technology, end-use vertical, and regions. Based on components, the market is bifurcated into solutions and services. By organization size, it is divided into large enterprises and small & medium-sized enterprises (SMEs). Based on the deployment the market is segmented into cloud and on-premise. Based on technology, the market is segmented into natural language processing (NLP), optical character recognition (OCR), machine learning (ML), artificial intelligence (AI), and others. By end-use vertical, the market is categorized into BFSI, government, healthcare, retail, manufacturing, and others. Region-wise, the Intelligent document processing market trends are analyzed across North America (the U.S. and Canada), Europe (UK, Germany, France, Italy, Spain, Netherlands, and the Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa).

The key players profiled in the study include ABBYY Solutions Ltd., Datamatics Technologies Ltd., Deloitte Touche Tohmatsu Limited, HCL Technologies Limited, Hyland Software, Inc., Infrrd Inc., International Business Machines Corporation, Kodak Alaris (Eastman Kodak Company), Kofax Inc. and WorkFusion, Inc. These players have been adopting various strategies to gain higher market share or to retain leading positions in the market. Product launch is the most adopted strategy by the players. Top winning strategies are analyzed by performing a thorough study of the leading players in the intelligent document processing market. A comprehensive analysis of recent developments and growth curves of various companies helps to understand the growth strategies adopted by them and their potential effect on the market.

Key Market Insights

By component, the glass intelligent document processing segment was the highest revenue contributor to the market, with $745.91 million in 2021, and is estimated to reach $5,332.49 million by 2031, with a CAGR of 22.2%. However, the services are estimated to be the fastest-growing segment with a CAGR of 20.4% during the forecast period.

By organization size, large enterprises dominated the global market and are estimated to reach $5,933.95 million by 2031, with a CAGR of 22.3%. However, SMEs are expected to be the fastest-growing segment during the intelligent document processing market forecast.

Based on technology, the natural language processing, and machine learning segments collectively accounted for around 55.75% market share in 2021, with the former constituting around 36.43% share. The machine learning and natural language processing segments are expected to witness considerable CAGRs of 24.7% and 22.8%, respectively, during the forecast period.

Based on region, North America and Europe collectively accounted for around 68.08% share in 2021, with the former constituting around 39.07% share. Asia-Pacific and LAMEA are expected to witness considerable CAGRs of 23.0% and 22.2%, respectively, during the forecast period.

Companies Mentioned

• Abbyy Solutions Ltd.
• Datamatics Technologies Ltd.
• Deloitte Touche Tohmatsu Limited
• Hcl Technologies Limited
• Hyland Software, Inc.
• Infrrd Inc.
• International Business Machines Corporation
• Kodak Alaris (Eastman Kodak Company)
• Kofax Inc.
• Workfusion, Inc.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

• Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
• Scientific and technical writings for product information and related preemptions
• Regional government and statistical databases for macro analysis
• Authentic news articles and other related releases for market evaluation
• Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.