Intelligent Document Processing Market Research Report—Global Forecast till 2027

Intelligent Document Processing Market Research Report: Information by Component (Solutions and Services {Professional Services and Managed Services}), Deployment Mode (Cloud-Based and On-Premises), Organization Size (Small & Medium-Sized Enterprises and Large Enterprises), Technology (Natural Language Processing (NLP), Optical Character Recognition (OCR), Robotic Process Automation (RPA), Google Vision, Deep Learning (DL), Machine Learning (ML), and Artificial Intelligence (AI)), Vertical (BFSI, Government & Public Sector, Retail and E-commerce, Manufacturing, Healthcare and Life Sciences, Transportation & Logistics, and Others), and Region (North America, Europe, Asia-Pacific, South America, and Middle East & Africa) - Global Market Outlook to 2027

ID: MRFR/ICT/9148-HCR | July 2021 | Region: Global | 99 pages

Market Overview


The global intelligent document processing market was valued at USD 765.2 million in 2020 and is projected to reach USD 6,785.2 million by 2027 with a CAGR of 35.4% during 2021–2027.


Intelligent document processing solutions transform unstructured and semi-structured information into usable data. Organization data is at the heart of digital transformation; unfortunately, 80 percent of all organization data is embedded in unstructured formats such as business documents, emails, images, and PDF documents. Intelligent document processing (IDP) is the next generation of automation, capturing, extracting, and processing data from a range of document formats. It uses artificial intelligence technologies such as natural language processing (NLP), deep learning, computer vision, and machine learning (ML) to classify, categorize, and extract appropriate information and validate the extracted data.


Furthermore, document processing is a familiar term for many enterprises and is something that business functions have been performing daily for several years. It is the process of translating the content of a document (electronic or physical) into something actionable and with meaning. The tasks required to carry out document processing tend to be repetitive and manual, and due to the high volumes received, they become labor-intensive and often less than rewarding for the staff.


Intelligent document processing is gaining attention because it provides disruptive solutions to automate data extraction projects that were previously extremely difficult, if not impossible, to solve. Intelligent document processing solution provides direct cost saving, ease of use, higher accuracy, process efficiency, and strategic goal boost, among other advantages.


The amount of data generated by enterprises is growing exponentially, which along with the rising need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed, are the major drivers fuelling the growth of the intelligent document processing market.


Data has changed the world human lives in. Currently, enterprises utilize data to introduce new business models, generate new revenue streams, enhance customer experience, create personalized services, and become more agile. This reliance is only ever-increasing with time as the world experiences unprecedented data volume growth. The growth in data volume and variety poses unique challenges in terms of data management. Without the right data strategy, business leaders will find themselves with heaps of data that are difficult to utilize and analyze, resulting in organizations experiencing operational inefficiencies and, ultimately, a loss in profits. Intelligent document processing can be applied to a wide variety of business use cases across all industries where knowledge workers continue to process documents manually. Examples include horizontal use cases, such as purchase order processing and invoice processing, as well as industry-specific use cases, such as insurance claims, know your customer, and loan applications, among others. Thereby, data-centric sectors are the major end-users of the intelligent document processing solution. According to the latest Survey, the banking, financial services and insurance (BFSI) and healthcare industries made up more than 50% of the entire intelligent document processing customer base.


Market Dynamics


Drivers


  • Amount of Data Generated byEnterprises is Growing Exponentially


The amount of data across businesses is growing rapidly with the boom in digital transformation. According to industry experts, worldwide data is expected to exceed 175 zettabytes by 2025. With most of this information locked in text, emails, PDFs, and scanned documents. Banking, financial, healthcare, education, the government sector has always been facing issues to process documents manually. However, with the introduction of intelligent document processing tools, the processes get streamlined. Organizations receive a high volume of semi-structured and unstructured documents such as invoices, sales orders, and customer correspondence, which often can’t be fully processed using rules-based automation software. Therefore, intelligent document processing solutions have gained significant importance across businesses and are expected to witness a high adoption rate during the projected period. 


Rising Need for Enterprises to Process Large Volumes of Semi-Structured and Unstructured Documents with Greater Accuracy and Speed


Currently, businesses across the globe generate a tremendous volume of data on a daily basis. To process unstructured and semi-structured documents is a complex task for businesses. Accuracy and speed is the prime factor which has become more important across the businesses. OCR is also available for few years in the market for document processing; however, speed and accuracy have not been proved to achieve as compared to IDP. On the other hand, businesses are seeking rapid speed in document processing with great accuracy as small errors can lead to downtime and loss. As a result, IDP has emerged as a reliable software tool that uses AI technology to process complex unstructured and semi-structured data. Therefore, the demand has surged exponentially across the businesses for the IDP and is expected to boost even more during the projected period. 


Restraints 


  • Changing Governance and Compliance Requirements


Worldwide regulations towards the processing of the document are becoming tighter in recent years. Moreover, compliance requirements also change from time to time that is expected to pose major restraints for the intelligent document processing market. Especially across the US and countries in Europe, the document and data processing regulations change from time to time. To be compliant with these regulations is expected to act as a major restraint factor for the market players. However, prominent players are making rapid technological advancements in intelligent document processing solutions.


Opportunities


  • Integration of RPA with Intelligent Document Processing (IDP) Solutions


Integration of RPA with IDP solutions is expected to be a major opportunity for the market during the forecast period. Intelligent document processing is an essential ingredient of intelligent automation. However, automation can reach only so far as data is available to work with. Using standard RPA systems, setting up data extraction to run automation is often a separate third-party project, which adds ongoing costs and fragile integration points. Effectively extracting data and structuring information helps automating the lion’s share of business processes that today rely on manual intervention and inputs. Embedding IDP within the RPA platform is what enables business users to automate processes end-to-end. 


IDP and RPA, together, provide a simple yet effective tool to automate enterprise business processes. As RPA, IDP tools are completely non-invasive, integration-friendly, and are extensively applicable across industries and business functions. Therefore, integrating RPA with IDP could be a major opportunity for the industries and present lucrative sales and revenue opportunities for the market players. 


Impact of COVID-19


Introduction


COVID-19 firstly originated in early 2020 in Wuhan, China, and rapidly spread across the globe. The worldwide cases have surpassed 183 million as of now and continue to rise. The pandemic forced lockdown situations across all the major economies and prompted the imposition of numerous restrictions such as travel barriers, closure of the shops and markets, work from home, import-export ban, and others. Governments all over the globe made various guidelines to stop the further spread of the COVID-19. Despite this, the coronavirus cases increased significantly and continue to rise. The COVID-19 pandemic hit all the major industries such as manufacturing, trade, hospitality, leisure, oil and gas, tourism, automotive, and transportation. Nevertheless, the COVID-19 pandemic hit the intelligent document processing market in some areas. COVID-19 pandemic also accelerated the demand for intelligent document processing in some industries.


Intelligent Document Processing for Innovation in Life Sciences Regulations


In the wake of the COVID-19 pandemic, many life sciences organizations are seeking efficiency and control over the regulatory process more than ever before. There is an increased urgency for speed, accuracy, and simplified processes in the Regulatory Information Management (RIM) space and prioritizing projects that will quickly deliver the most patient value.


Intelligent Document Processing in the Insurance Sector


RPA, coupled with intelligent document processing skills, can help in reducing the human intervention when it comes to registering insurance claims, thus reducing the burden on insurance customer advisors. The insurance sector has emerged as a major vertical amidst the pandemic, which isincreasingly using intelligent document processing technology coupled with RPA. 


Transformation Of Businesses


COVID-19 has transformed the future of business. Despite all the negative consequences, the pandemic has initiated some encouraging changes. COVID-19 has accelerated the digitalization from a ‘nice to have to a ‘must have’ for many organizations, forcing them to adapt and modernize quickly to keep their operations running. 


Cloud-Based Deployment Gained Rapid Popularity


The pandemic has forced work from home to major industries, which has surged the demand for cloud-based deployments. The developing nation’s enterprises were on a steady pace toward cloud adoption for the better part of the decade, andCOVID-19 has acted as a catalyst for the same.


Post-pandemic scenario


In the COVID-19 and post COVID-19 era, paperless transactions and remote operations are becoming a new normal. Intelligent Document Processing technology enables micro, small, and medium entities and large enterprises to jump-start a paperless e-office. Post-pandemic is expected to start a new era of paperless documents in most of the economies.


Cumulative Growth Analysis


YOY Growth to Expand at a Strong Rate


According to MRFR, the intelligent document processing market is expected to witness 33 to 39 percent YOY growth every year during the projected period. The increasing IT spending, exponential growth in data volumes, rising adoption of cloud-based solutions, and increasing demand for automated document processing without human intervention amidst the COVID-19 pandemic are expected to boom the market growth during the projected period.


Value Chain Analysis/Technology Analysis/Regulatory Implications


The global intelligent document processing market supply chain has evolved from a traditional approach to a set of highly efficient processes, including procurement, system integration, and distribution. The supply chain of the intelligent document processing market involves the designers & programmers, software/platform developers, system integrators, and endusers. 


Segment Overview


The global intelligent document processing market has been segmented into component, deployment mode, technology, organization size, and vertical.


Based on the component, the intelligent document processing market has been bifurcated into solutions and services. The solutions segment accounted for the larger market share and is expected to retain its dominance throughout the projected period. This can be attributed to the adoption of advanced intelligent processing software solutions across the industry verticals. Solutions being deployed on the on-premises and cloud deployments.


Based on deployment mode, the intelligent document processing market has been bifurcated into on-premises and cloud-based. The cloud-based deployment model is expected to grow with significant CAGR during the forecast period. In the last couple of years, software as a service model has gained exceptional traction among small and large businesses. Several large enterprises are utilizing cloud-based models using a hybrid cloud approach.


Based on the technology, the intelligent document processing market has been classified into Natural Language Processing (NLP), Optical Character Recognition (OCR), Robotic Process Automation (RPA), Google Vision, Deep Learning (DL), Machine Learning (ML), and Artificial Intelligence (AI).


By organization size, the global market has been segmented into small & medium-sized enterprises and large enterprises. The small & medium-sized enterprises segment held the larger market share within the market. This can be attributed to the increasing numbers of SMB’s as well as their interest in the use of intelligent document processing solutions. Major SMB’s are integrating intelligent document processing with the RPA, which is the major trend witnessing within the market.


Based on verticals, the intelligent document processing market has been segmented into BFSI, government & public sector, retail and e-commerce, manufacturing, healthcare and life sciences, transportation & logistics, and others. The government & public sectors, BFSI, healthcare, and life sciences are the major verticals that are generating significant revenue for the intelligent document processing market.

Global Intelligent Document Processing Market, 2018–­2027 (USD Million)

Global Intelligent Document Processing Market, 2018–­2027 (USD Million)
Source: MRFR Analysis


Regional Analysis


The global intelligent document processing market is expected to gain significant revenue from the various continents during the projected period. The geographic analysis of the global intelligent document processing market has been conducted for North America, Europe, Asia-Pacific, the Middle East & Africa, and South America. North America is further classified into the US, Canada, and Mexico. Europe is further classified into the UK, Germany, France, and the Rest of Europe. The Asia-Pacific is further segmented into China, Japan, India, and the Rest of Asia-Pacific.


North America Holds the Largest Share in the Global Market Due to the US and Canada


North America holds the leading share within the market primarily due to the rapid adoption in the various industry verticals and the rise in IT spending. The rapid adoption of advanced technologies such as AI, ML, NLP, and computer vision is significantly high among enterprises. The presence of prominent vendors in the region such as ABBYY, Kofax, IBM, WorkFusion, Parascript, Hyland, Automation Anywhere, and Extract Systems is also a key factor driving the adoption of intelligent document processing in the region. Industries such as government, BFSI, transportation & logistics, manufacturing, and healthcare & life sciences are at the forefront of adopting intelligent document processing solutions.


Europe Grips Second Highest Share in the Global Market


Europe holds the second position in the intelligent document processing market in terms of revenue. The UK, Germany, and France are the major growth engines of the market. The UK holds the leading share within the European intelligent document processing market. Germany and France are also contributing significant revenue for the European market. Benelux and Nordic countries have shown significant deployment of intelligent document processing solutions. 


The APAC region is expected to be the Fastest Growing Continents


Asia-Pacific (APAC) is expected to grow with the fastest CAGR rate during the forecast period. The region has seen a rapid boom in market growth due to increased automation across industry verticals. The countries such as China, Japan, India, South Korea, and Australia are the major growth engines of the APAC region's market growth. Furthermore, Southeast Asian countries such as Malaysia and Singapore also have emerged as the major market for the intelligent document processing market in recent years. APAC is filled with numerous small and medium-sized organizations, which could fuel major opportunities during upcoming years.


Competitive Analysis


The global intelligent document processing market is highly competitive with the presence of several leading vendors. However, some of these players have created goodwill within the market by offering advanced solutions coupled with a client satisfaction approach.


IBM (US), Kofax (US), WorkFusion (US), ABBYY (US), and Automation Anywhere (US) are the prominent players within the market which have captured the largest client base across the globe. Some of these prominent players have adopted some organic and inorganic strategies such as mergers, acquisitions, partnerships, strategic alliances, and product launches, among others, in order to gain a competitive advantage. Moreover, some of the leading players are constantly focusing on technological advancements to offer advanced and upgraded solutions as per the dynamic market needs. The vendors compete in terms of software types, deployment, after-sales services, among other factors. Technological advancements are mandatory for new entrants to compete against the leading giants within the market.


List of Key Companies Covered in this Report:-



  • IBM (US)

  • Kofax (US)

  • WorkFusion (US)

  • ABBYY (US)

  • Automation Anywhere (US)

  • Appian (US)

  • UiPath (US)

  • Datamatics (India)

  • Deloitte (UK)

  • AntWorks (Singapore)

  • OpenText (Canada)

  • Celaton (UK)

  • HCL Technologies (India)

  • Kodak Alaris (UK)


Key Developments in GlobalIntelligent Document Processing Market:


In Sept. 2020, Appian introduced intelligent document processing or IDP. IDP lets Appian users leverage artificial intelligence to transform unstructured data from their business documents into structured data.


In May 2020, Deloitte and UiPath, the enterprise Robotic Process Automation (RPA) software company, announced they are working together to deliver Deloitte Intelligent Document Processing (DIDP), an on-premise or cloud-based automation accelerator that enables capturing documents before extracting, classifying, and verifying their data for processing. The integrated technology comprises Optical Character Recognition (OCR), Human-in-the-Loop (HITL), Machine Learning (ML), and the UiPath RPA. The power of DIDP is its ability to handle multiple document types by processing any type of structured or semi-structured document, ranging from invoices to contracts.


In Oct. 2020, IBM announced a new low-code, AI-led document processing capability for the IBM Cloud Pak for Automation.


Report Overview


This study estimates revenue growth at global, regional, and country levels and offers an overview of the latest developments in each of the sub-sectors from 2018 to 2027. For this analysis, MRFR segmented the global intelligent document processing market has based on component, deployment, technology, organization size, vertical, and region.


Based on Component



  • Solutions

  • Services

  • Professional Services

  • Managed Services


Based on Deployment Mode



  • Cloud-Based

  • On-Premises


Based on Technology



  • Natural Language Processing (NLP)

  • Optical Character Recognition (OCR)

  • Robotic Process Automation (RPA)

  • Google Vision

  • Deep Learning (DL)

  • Machine Learning (ML)

  • Artificial Intelligence (AI)


Based on Organization Size



  • Small & Medium-Sized Enterprises

  • Large Enterprises


Based on Vertical



  • BFSI

  • Government & Public Sector

  • Retail and E-Commerce

  • Manufacturing

  • Healthcare and Life Sciences

  • Transportation & Logistics

  • Others


Based on Region



  • North America

  • Europe

  • Asia-Pacific

  • South America

  • Middle East & Africa



Report Scope:
Report Attribute/Metric Details
  Market Size   USD 6,785.2 million
  CAGR   35.4% CAGR
  Base Year   2020
  Forecast Period   2021-2027
  Historical Data   2018-2019
  Forecast Units   Value (USD Million)
  Report Coverage   North America (US, Canada, and Mexico), Europe (UK, Germany, France, and Rest of Europe), Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific), Middle East & Africa, South America
  Segments Covered   • By Component (Solutions, Services {Professional Services, Managed Services}) • By Deployment Mode (Cloud-Based, On-Premises) • By Technology (Natural Language Processing (NLP), Optical Character Recognition (OCR), Robotic Process Automation (RPA), Google Vision, Deep Learning (DL), Machine Learning (ML), Artificial Intelligence (AI)) • By Organization Size (Small & Medium-Sized Enterprises, Large Enterprises) • By Vertical (BFSI, Government & Public Sector, Retail and E-commerce, Manufacturing, Healthcare and Life Sciences, Transportation & Logistics, Others)
  Geographies Covered   
  Key Vendors   
  Key Market Opportunities   
  Key Market Drivers   • Drivers • Amount of data generated by enterprises is growing exponentially • Rising need for enterprises to process large volumes of semi-structured and unstructured documents with greater accuracy and speed


TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

1.1. Market Attractiveness Analysis

1.1.1. Global Intelligent Document Processing Market, by Component

1.1.2. GlobalIntelligent Document Processing Market, by Deployment Mode

1.1.3. Global Intelligent Document Processing Market, byTechnology

1.1.4. GlobalIntelligent Document Processing Market, by Organization Size

1.1.5. Global Intelligent Document Processing Market, byVertical

1.1.6. GlobalIntelligent Document Processing Market, by Region

2. MARKET INTRODUCTION

2.1. Definition

2.2. Scope of the Study

2.3. Market Structure

3. RESEARCH METHODOLOGY

3.1. Research Process

3.2. Primary Research

3.3. Secondary Research

3.4. Market Size Estimation

3.5. List of Assumptions

4. MARKET DYNAMICS

4.1. Introduction

4.2. Drivers

4.2.1. Amount of Data Generated byEnterprises is Growing Exponentially

4.2.2. Rising Need for Enterprises to Process Large Volumes of Semi-Structured and Unstructured Documents with Greater Accuracy and Speed

4.2.3. Increasing Investments in Digital Transformation

4.3. Restraint

4.3.1. Changing Governance and Compliance Requirements

4.4. Opportunity

4.4.1. Integration of RPA with Intelligent Document Processing (IDP) Solutions

4.4.2. Era of Paperless Documents Amidst the COVID-19 Pandemic

4.5. Challenge

4.5.1. High Implementation Cost

4.6. Impact of COVID-19

4.6.1. Impact on Intelligent Document Processing Adoption

4.6.2. Impact on IT Spending

4.6.3. Impact on Verticals

4.6.4. Impact on Deployment Models

4.6.5. Impact on Market Players

4.6.6. YOY Growth, Segmental & Regional

5. MARKET FACTOR ANALYSIS

5.1. Value Chain Analysis/Supply Chain Analysis

5.2. Porter’s Five Forces Model

5.2.1. Bargaining Power of Suppliers

5.2.2. Bargaining Power of Buyers

5.2.3. Threat of New Entrants

5.2.4. Threat of Substitutes

5.2.5. Intensity of Rivalry

6. GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT

6.1. Introduction

6.2. Solutions

6.3. Services

6.3.1. Professional Services

6.3.2. Managed Services

7. GLOBALINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENTMODE

7.1. Introduction

7.2. Cloud-Based

7.3. On-Premises

8. GLOBALINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY

8.1. Introduction

8.2. Natural Language Processing (NLP)

8.3. Optical Character Recognition (OCR)

8.4. Robotic Process Automation (RPA)

8.5. Google Vision

8.6. Deep Learning (DL)

8.7. Machine Learning (ML)

8.8. Artificial Intelligence (AI)

9. GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE

9.1. Introduction

9.2. Small & Large Enterprises

9.3. Large Enterprises

10. GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL

10.1. Introduction

10.2. BFSI

10.3. Government & Public Sector

10.4. Retail and E-commerce

10.5. Manufacturing

10.6. Healthcare and Life Sciences

10.7. Transportation & Logistics

10.8. Others

11. GLOBALINTELLIGENT DOCUMENT PROCESSING MARKET, BY REGION

11.1. Overview

11.2. North America

11.2.1. Market Size & Estimates, by Country, 2018–2027

11.2.2. Market Size & Estimates, by Component, 2018–2027

11.2.3. Market Size & Estimates, by Deployment Mode, 2018–2027

11.2.4. Market Size & Estimates, by Technology, 2018–2027

11.2.5. Market Size & Estimates, by Organization Size, 2018–2027

11.2.6. Market Size & Estimates, by Vertical, 2018–2027

11.2.7. US

11.2.7.1. Market Size & Estimates, by Component, 2018–2027

11.2.7.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.2.7.3. Market Size & Estimates, by Technology, 2018–2027

11.2.7.4. Market Size & Estimates, by Organization Size, 2018–2027

11.2.7.5. Market Size & Estimates, by Vertical, 2018–2027

11.2.8. Canada

11.2.8.1. Market Size & Estimates, by Component, 2018–2027

11.2.8.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.2.8.3. Market Size & Estimates, by Technology, 2018–2027

11.2.8.4. Market Size & Estimates, by Organization Size, 2018–2027

11.2.8.5. Market Size & Estimates, by Vertical, 2018–2027

11.2.9. Mexico

11.2.9.1. Market Size & Estimates, by Component, 2018–2027

11.2.9.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.2.9.3. Market Size & Estimates, by Technology, 2018–2027

11.2.9.4. Market Size & Estimates, by Organization Size, 2018–2027

11.2.9.5. Market Size & Estimates, by Vertical, 2018–2027

11.3. Europe

11.3.1. Market Size & Estimates, by Country, 2018–2027

11.3.2. Market Size & Estimates, by Component, 2018–2027

11.3.3. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.4. Market Size & Estimates, by Technology, 2018–2027

11.3.5. Market Size & Estimates, by Organization Size, 2018–2027

11.3.6. Market Size & Estimates, by Vertical, 2018–2027

11.3.7. Germany

11.3.7.1. Market Size & Estimates, by Component, 2018–2027

11.3.7.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.7.3. Market Size & Estimates, by Technology, 2018–2027

11.3.7.4. Market Size & Estimates, by Organization Size, 2018–2027

11.3.7.5. Market Size & Estimates, by Vertical, 2018–2027

11.3.8. UK

11.3.8.1. Market Size & Estimates, by Component, 2018–2027

11.3.8.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.8.3. Market Size & Estimates, by Technology, 2018–2027

11.3.8.4. Market Size & Estimates, by Organization Size, 2018–2027

11.3.8.5. Market Size & Estimates, by Vertical, 2018–2027

11.3.9. France

11.3.9.1. Market Size & Estimates, by Component, 2018–2027

11.3.9.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.9.3. Market Size & Estimates, by Technology, 2018–2027

11.3.9.4. Market Size & Estimates, by Organization Size, 2018–2027

11.3.9.5. Market Size & Estimates, by Vertical, 2018–2027

11.3.9.6. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.10. Rest of Europe

11.3.10.1. Market Size & Estimates, by Component, 2018–2027

11.3.10.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.3.10.3. Market Size & Estimates, by Technology, 2018–2027

11.3.10.4. Market Size & Estimates, by Organization Size, 2018–2027

11.3.10.5. Market Size & Estimates, by Vertical, 2018–2027

11.4. ASIA-PACIFIC

11.4.1. Market Size & Estimates, by Country, 2018–2027

11.4.2. Market Size & Estimates, by Component, 2018–2027

11.4.3. Market Size & Estimates, by Deployment Mode, 2018–2027

11.4.4. Market Size & Estimates, by Technology, 2018–2027

11.4.5. Market Size & Estimates, by Organization Size, 2018–2027

11.4.6. Market Size & Estimates, by Vertical, 2018–2027

11.4.7. China

11.4.7.1. Market Size & Estimates, by Component, 2018–2027

11.4.7.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.4.7.3. Market Size & Estimates, by Technology, 2018–2027

11.4.7.4. Market Size & Estimates, by Organization Size, 2018–2027

11.4.7.5. Market Size & Estimates, by Vertical, 2018–2027

11.4.8. Japan

11.4.8.1. Market Size & Estimates, by Component, 2018–2027

11.4.8.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.4.8.3. Market Size & Estimates, by Technology, 2018–2027

11.4.8.4. Market Size & Estimates, by Organization Size, 2018–2027

11.4.8.5. Market Size & Estimates, by Vertical, 2018–2027

11.4.9. India

11.4.9.1. Market Size & Estimates, by Component, 2018–2027

11.4.9.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.4.9.3. Market Size & Estimates, by Technology, 2018–2027

11.4.9.4. Market Size & Estimates, by Organization Size, 2018–2027

11.4.9.5. Market Size & Estimates, by Vertical, 2018–2027

11.4.10. Rest of Asia-Pacific

11.4.10.1. Market Size & Estimates, by Component, 2018–2027

11.4.10.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.4.10.3. Market Size & Estimates, by Technology, 2018–2027

11.4.10.4. Market Size & Estimates, by Organization Size, 2018–2027

11.4.10.5. Market Size & Estimates, by Vertical, 2018–2027

11.5. Middle East & Africa

11.5.1. Market Size & Estimates, by Component, 2018–2027

11.5.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.5.3. Market Size & Estimates, by Technology, 2018–2027

11.5.4. Market Size & Estimates, by Organization Size, 2018–2027

11.5.5. Market Size & Estimates, by Vertical, 2018–2027

11.6. South America

11.6.1. Market Size & Estimates, by Component, 2018–2027

11.6.2. Market Size & Estimates, by Deployment Mode, 2018–2027

11.6.3. Market Size & Estimates, by Technology, 2018–2027

11.6.4. Market Size & Estimates, by Organization Size, 2018–2027

11.6.5. Market Size & Estimates, by Vertical, 2018–2027

12. COMPETITIVE LANDSCAPE

12.1. Introduction

12.2. KeyPlayersMarket Share Analysis, 2020 (%)

12.3. Competitive Benchmarking

12.4. Competitor Dashboard

12.5. Major Growth Strategy in the market

12.6. Key Developments & Growth Strategies

12.6.1. New Product Development

12.6.2. Mergers & Acquisitions

12.6.3. Contracts & Agreements

13. COMPANY PROFILES

13.1. IBM (US)

13.1.1. Company Overview

13.1.2. Financial Overview

13.1.3. Software/Solutions Offered

13.1.4. Key Developments

13.1.5. SWOT Analysis

13.1.6. Key Strategies

13.2. Kofax (US)

13.2.1. Company Overview

13.2.2. Financial Overview

13.2.3. Software/Solutions Offered

13.2.4. Key Developments

13.2.5. SWOT Analysis

13.2.6. Key Strategies

13.3. WorkFusion (US)

13.3.1. Company Overview

13.3.2. Financial Overview

13.3.3. Software/Solutions Offered

13.3.4. Key Developments

13.3.5. SWOT Analysis

13.4. ABBYY (US)

13.4.1. Company Overview

13.4.2. Financial Overview

13.4.3. Software/Solutions Offered

13.4.4. Key Developments

13.4.5. SWOT Analysis

13.4.6. Key Strategies

13.5. Automation Anywhere (US)

13.5.1. Company Overview

13.5.2. Financial Overview

13.5.3. Software/Solutions Offered

13.5.4. Key Developments

13.5.5. SWOT Analysis

13.5.6. Key Strategies

13.6. Appian (US)

13.6.1. Company Overview

13.6.2. Financial Overview

13.6.3. Software/Solutions Offered

13.6.4. Key Developments

13.6.5. SWOT Analysis

13.6.6. Key Strategies

13.7. UiPath (US)

13.7.1. Company Overview

13.7.2. Financial Overview

13.7.3. Software/Solutions Offered

13.7.4. Key Developments

13.7.5. SWOT Analysis

13.7.6. Key Strategies

13.8. Datamatics (India)

13.8.1. Company Overview

13.8.2. Financial Overview

13.8.3. Software/Solutions Offered

13.8.4. Key Developments

13.8.5. SWOT Analysis

13.8.6. Key Strategies

13.9. Deloitte (UK)

13.9.1. Company Overview

13.9.2. Financial Overview

13.9.3. Software/Solutions Offered

13.9.4. Key Developments

13.9.5. SWOT Analysis

13.9.6. Key Strategies

13.10. AntWorks (Singapore)

13.10.1. Company Overview

13.10.2. Financial Overview

13.10.3. Software/Solutions Offered

13.10.4. Key Developments

13.10.5. SWOT Analysis

13.10.6. Key Strategies

13.11. OpenText (Canada)

13.11.1. Company Overview

13.11.2. Financial Overview

13.11.3. Software/Solutions Offered

13.11.4. Key Developments

13.11.5. SWOT Analysis

13.11.6. Key Strategies

13.12. Celaton (UK)

13.12.1. Company Overview

13.12.2. Financial Overview

13.12.3. Software/Solutions Offered

13.12.4. Key Developments

13.12.5. SWOT Analysis

13.12.6. Key Strategies

13.13. HCL Technologies (India)

13.13.1. Company Overview

13.13.2. Financial Overview

13.13.3. Software/Solutions Offered

13.13.4. Key Developments

13.13.5. SWOT Analysis

13.13.6. Key Strategies

13.14. Kodak Alaris (UK)

13.14.1. Company Overview

13.14.2. Financial Overview

13.14.3. Software/Solutions Offered

13.14.4. Key Developments

13.14.5. SWOT Analysis

13.14.6. Key Strategies

LIST OF TABLES

TABLE 1 LIST OF ASSUMPTIONS

TABLE 2 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 3 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 4 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION

TABLE 5 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 6 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 7 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY REGION, 2018–2027 (USD MILLION)

TABLE 8 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

TABLE 9 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 10 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 11 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 12 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 13 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 14 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION

TABLE 15 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION

TABLE 16 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 17 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 18 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 19 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 20 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 21 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 22 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 23 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 24 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 25 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 26 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION

TABLE 27 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 28 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 29 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

TABLE 30 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 31 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 32 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 33 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 34 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 35 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 36 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 37 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 38 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 39 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 40 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 41 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 42 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 43 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 44 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 45 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 46 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 47 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 48 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 49 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 50 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 51 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 52 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 53 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 54 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 55 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

TABLE 56 ASIA-PACIFIC INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 57 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 58 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 59 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 60 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 61 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 62 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 63 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 64 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 65 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 66 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 67 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 68 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 69 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 70 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 71 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 72 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 73 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 74 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 75 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 76 REST OF ASIA-PACIFIC INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 77 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 78 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 79 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 80 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 81 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 82 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 83 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 84 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 85 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

TABLE 86 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

TABLE 87 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

TABLE 88 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

TABLE 89 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

TABLE 90 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)



LIST OF FIGURES

FIGURE 1 MARKET SYNOPSIS

FIGURE 2 RESEARCH PROCESS OF MRFR

FIGURE 3 TOP-DOWN & BOTTOM-UP APPROACH

FIGURE 4 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 5 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE6 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION

FIGURE7 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE8 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE9 GLOBAL INTELLIGENT DOCUMENT PROCESSING MARKET, BY REGION, 2018–2027 (USD MILLION)

FIGURE 10 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

FIGURE11 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE12 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE13 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE14 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE15 NORTH AMERICAINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 16 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION

FIGURE 17 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION

FIGURE18 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE19 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE20 USINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 21 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 22 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE23 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE24 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE25 CANADA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 26 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 27 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE28 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION

FIGURE29 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE30 MEXICO INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE31 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

FIGURE32 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE33 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE34 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE35 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE36 EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 37 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 38 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE39 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE40 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE41 GERMANY INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 42 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 43 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE44 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE45 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE46 UK INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 47 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 48 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE49 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE50 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE51 FRANCE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 52 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 53 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE54 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE55 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE56 REST OF EUROPE INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 57 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY COUNTRY, 2018–2027 (USD MILLION)

FIGURE 58 ASIA-PACIFIC INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 59 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE60 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE61 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE62 ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 63 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 64 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE65 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE66 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE67 CHINA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 68 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 69 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE70 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE71 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE72 INDIA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 73 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 74 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE75 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE76 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE77 JAPAN INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 78 REST OF ASIA-PACIFIC INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 79 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE80 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE81 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE82 REST OF ASIA-PACIFICINTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 83 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 84 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE85 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE86 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE87 MIDDLE EAST & AFRICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)

FIGURE 88 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY COMPONENT, 2018–2027 (USD MILLION)

FIGURE 89 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY DEPLOYMENT MODE, 2018–2027 (USD MILLION)

FIGURE90 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY TECHNOLOGY, 2018–2027 (USD MILLION)

FIGURE91 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY ORGANIZATION SIZE, 2018–2027 (USD MILLION)

FIGURE92 SOUTH AMERICA INTELLIGENT DOCUMENT PROCESSING MARKET, BY VERTICAL, 2018–2027 (USD MILLION)