AI-powered Intelligent Document Processing (IDP) refers to the use of artificial intelligence (AI) and machine learning (ML) technologies to automate and enhance the extraction, processing, and management of information from various types of documents. These solutions are designed to handle large volumes of unstructured data, transforming it into structured, actionable insights with minimal human intervention.
The global AI-Powered Intelligent Document Processing (IDP) market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI-Powered Intelligent Document Processing (IDP) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI-Powered Intelligent Document Processing (IDP) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI-Powered Intelligent Document Processing (IDP) in Financial is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI-Powered Intelligent Document Processing (IDP) include UiPath, Microsoft, AYR, ABBYY, WorkFusion, Tungsten Automation, Indico Data, HCL Tech, Automation Anywhere, Rossum, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-Powered Intelligent Document Processing (IDP), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-Powered Intelligent Document Processing (IDP).
The AI-Powered Intelligent Document Processing (IDP) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-Powered Intelligent Document Processing (IDP) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-Powered Intelligent Document Processing (IDP) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
UiPath
Microsoft
AYR
ABBYY
WorkFusion
Tungsten Automation
Indico Data
HCL Tech
Automation Anywhere
Rossum
IBM
Google
Hyperscience
Infrrd
JIFFR.ai
Laiye
Nividous
KnowledgeLake
AntWorke
Appian
Datamatics
EdgeVerve
EXL
MuleSoft
Segment by Type
Cloud Based
On-premises
Segment by Application
Financial
Healthcare
Government
Logistics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI-Powered Intelligent Document Processing (IDP) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Powered Intelligent Document Processing (IDP) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global AI-Powered Intelligent Document Processing (IDP) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Financial
1.3.3 Healthcare
1.3.4 Government
1.3.5 Logistics
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Powered Intelligent Document Processing (IDP) Market Perspective (2019-2030)
2.2 Global AI-Powered Intelligent Document Processing (IDP) Growth Trends by Region
2.2.1 Global AI-Powered Intelligent Document Processing (IDP) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-Powered Intelligent Document Processing (IDP) Historic Market Size by Region (2019-2024)
2.2.3 AI-Powered Intelligent Document Processing (IDP) Forecasted Market Size by Region (2025-2030)
2.3 AI-Powered Intelligent Document Processing (IDP) Market Dynamics
2.3.1 AI-Powered Intelligent Document Processing (IDP) Industry Trends
2.3.2 AI-Powered Intelligent Document Processing (IDP) Market Drivers
2.3.3 AI-Powered Intelligent Document Processing (IDP) Market Challenges
2.3.4 AI-Powered Intelligent Document Processing (IDP) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Powered Intelligent Document Processing (IDP) Players by Revenue
3.1.1 Global Top AI-Powered Intelligent Document Processing (IDP) Players by Revenue (2019-2024)
3.1.2 Global AI-Powered Intelligent Document Processing (IDP) Revenue Market Share by Players (2019-2024)
3.2 Global AI-Powered Intelligent Document Processing (IDP) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Powered Intelligent Document Processing (IDP) Revenue
3.4 Global AI-Powered Intelligent Document Processing (IDP) Market Concentration Ratio
3.4.1 Global AI-Powered Intelligent Document Processing (IDP) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Powered Intelligent Document Processing (IDP) Revenue in 2023
3.5 Global Key Players of AI-Powered Intelligent Document Processing (IDP) Head office and Area Served
3.6 Global Key Players of AI-Powered Intelligent Document Processing (IDP), Product and Application
3.7 Global Key Players of AI-Powered Intelligent Document Processing (IDP), Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Powered Intelligent Document Processing (IDP) Breakdown Data by Type
4.1 Global AI-Powered Intelligent Document Processing (IDP) Historic Market Size by Type (2019-2024)
4.2 Global AI-Powered Intelligent Document Processing (IDP) Forecasted Market Size by Type (2025-2030)
5 AI-Powered Intelligent Document Processing (IDP) Breakdown Data by Application
5.1 Global AI-Powered Intelligent Document Processing (IDP) Historic Market Size by Application (2019-2024)
5.2 Global AI-Powered Intelligent Document Processing (IDP) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-Powered Intelligent Document Processing (IDP) Market Size (2019-2030)
6.2 North America AI-Powered Intelligent Document Processing (IDP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2019-2024)
6.4 North America AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Powered Intelligent Document Processing (IDP) Market Size (2019-2030)
7.2 Europe AI-Powered Intelligent Document Processing (IDP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2019-2024)
7.4 Europe AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-Powered Intelligent Document Processing (IDP) Market Size (2019-2030)
8.2 Asia-Pacific AI-Powered Intelligent Document Processing (IDP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-Powered Intelligent Document Processing (IDP) Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-Powered Intelligent Document Processing (IDP) Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-Powered Intelligent Document Processing (IDP) Market Size (2019-2030)
9.2 Latin America AI-Powered Intelligent Document Processing (IDP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2019-2024)
9.4 Latin America AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Intelligent Document Processing (IDP) Market Size (2019-2030)
10.2 Middle East & Africa AI-Powered Intelligent Document Processing (IDP) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-Powered Intelligent Document Processing (IDP) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 UiPath
11.1.1 UiPath Company Details
11.1.2 UiPath Business Overview
11.1.3 UiPath AI-Powered Intelligent Document Processing (IDP) Introduction
11.1.4 UiPath Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.1.5 UiPath Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft AI-Powered Intelligent Document Processing (IDP) Introduction
11.2.4 Microsoft Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 AYR
11.3.1 AYR Company Details
11.3.2 AYR Business Overview
11.3.3 AYR AI-Powered Intelligent Document Processing (IDP) Introduction
11.3.4 AYR Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.3.5 AYR Recent Development
11.4 ABBYY
11.4.1 ABBYY Company Details
11.4.2 ABBYY Business Overview
11.4.3 ABBYY AI-Powered Intelligent Document Processing (IDP) Introduction
11.4.4 ABBYY Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.4.5 ABBYY Recent Development
11.5 WorkFusion
11.5.1 WorkFusion Company Details
11.5.2 WorkFusion Business Overview
11.5.3 WorkFusion AI-Powered Intelligent Document Processing (IDP) Introduction
11.5.4 WorkFusion Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.5.5 WorkFusion Recent Development
11.6 Tungsten Automation
11.6.1 Tungsten Automation Company Details
11.6.2 Tungsten Automation Business Overview
11.6.3 Tungsten Automation AI-Powered Intelligent Document Processing (IDP) Introduction
11.6.4 Tungsten Automation Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.6.5 Tungsten Automation Recent Development
11.7 Indico Data
11.7.1 Indico Data Company Details
11.7.2 Indico Data Business Overview
11.7.3 Indico Data AI-Powered Intelligent Document Processing (IDP) Introduction
11.7.4 Indico Data Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.7.5 Indico Data Recent Development
11.8 HCL Tech
11.8.1 HCL Tech Company Details
11.8.2 HCL Tech Business Overview
11.8.3 HCL Tech AI-Powered Intelligent Document Processing (IDP) Introduction
11.8.4 HCL Tech Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.8.5 HCL Tech Recent Development
11.9 Automation Anywhere
11.9.1 Automation Anywhere Company Details
11.9.2 Automation Anywhere Business Overview
11.9.3 Automation Anywhere AI-Powered Intelligent Document Processing (IDP) Introduction
11.9.4 Automation Anywhere Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.9.5 Automation Anywhere Recent Development
11.10 Rossum
11.10.1 Rossum Company Details
11.10.2 Rossum Business Overview
11.10.3 Rossum AI-Powered Intelligent Document Processing (IDP) Introduction
11.10.4 Rossum Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.10.5 Rossum Recent Development
11.11 IBM
11.11.1 IBM Company Details
11.11.2 IBM Business Overview
11.11.3 IBM AI-Powered Intelligent Document Processing (IDP) Introduction
11.11.4 IBM Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.11.5 IBM Recent Development
11.12 Google
11.12.1 Google Company Details
11.12.2 Google Business Overview
11.12.3 Google AI-Powered Intelligent Document Processing (IDP) Introduction
11.12.4 Google Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.12.5 Google Recent Development
11.13 Hyperscience
11.13.1 Hyperscience Company Details
11.13.2 Hyperscience Business Overview
11.13.3 Hyperscience AI-Powered Intelligent Document Processing (IDP) Introduction
11.13.4 Hyperscience Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.13.5 Hyperscience Recent Development
11.14 Infrrd
11.14.1 Infrrd Company Details
11.14.2 Infrrd Business Overview
11.14.3 Infrrd AI-Powered Intelligent Document Processing (IDP) Introduction
11.14.4 Infrrd Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.14.5 Infrrd Recent Development
11.15 JIFFR.ai
11.15.1 JIFFR.ai Company Details
11.15.2 JIFFR.ai Business Overview
11.15.3 JIFFR.ai AI-Powered Intelligent Document Processing (IDP) Introduction
11.15.4 JIFFR.ai Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.15.5 JIFFR.ai Recent Development
11.16 Laiye
11.16.1 Laiye Company Details
11.16.2 Laiye Business Overview
11.16.3 Laiye AI-Powered Intelligent Document Processing (IDP) Introduction
11.16.4 Laiye Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.16.5 Laiye Recent Development
11.17 Nividous
11.17.1 Nividous Company Details
11.17.2 Nividous Business Overview
11.17.3 Nividous AI-Powered Intelligent Document Processing (IDP) Introduction
11.17.4 Nividous Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.17.5 Nividous Recent Development
11.18 KnowledgeLake
11.18.1 KnowledgeLake Company Details
11.18.2 KnowledgeLake Business Overview
11.18.3 KnowledgeLake AI-Powered Intelligent Document Processing (IDP) Introduction
11.18.4 KnowledgeLake Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.18.5 KnowledgeLake Recent Development
11.19 AntWorke
11.19.1 AntWorke Company Details
11.19.2 AntWorke Business Overview
11.19.3 AntWorke AI-Powered Intelligent Document Processing (IDP) Introduction
11.19.4 AntWorke Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.19.5 AntWorke Recent Development
11.20 Appian
11.20.1 Appian Company Details
11.20.2 Appian Business Overview
11.20.3 Appian AI-Powered Intelligent Document Processing (IDP) Introduction
11.20.4 Appian Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.20.5 Appian Recent Development
11.21 Datamatics
11.21.1 Datamatics Company Details
11.21.2 Datamatics Business Overview
11.21.3 Datamatics AI-Powered Intelligent Document Processing (IDP) Introduction
11.21.4 Datamatics Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.21.5 Datamatics Recent Development
11.22 EdgeVerve
11.22.1 EdgeVerve Company Details
11.22.2 EdgeVerve Business Overview
11.22.3 EdgeVerve AI-Powered Intelligent Document Processing (IDP) Introduction
11.22.4 EdgeVerve Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.22.5 EdgeVerve Recent Development
11.23 EXL
11.23.1 EXL Company Details
11.23.2 EXL Business Overview
11.23.3 EXL AI-Powered Intelligent Document Processing (IDP) Introduction
11.23.4 EXL Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.23.5 EXL Recent Development
11.24 MuleSoft
11.24.1 MuleSoft Company Details
11.24.2 MuleSoft Business Overview
11.24.3 MuleSoft AI-Powered Intelligent Document Processing (IDP) Introduction
11.24.4 MuleSoft Revenue in AI-Powered Intelligent Document Processing (IDP) Business (2019-2024)
11.24.5 MuleSoft Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
UiPath
Microsoft
AYR
ABBYY
WorkFusion
Tungsten Automation
Indico Data
HCL Tech
Automation Anywhere
Rossum
IBM
Google
Hyperscience
Infrrd
JIFFR.ai
Laiye
Nividous
KnowledgeLake
AntWorke
Appian
Datamatics
EdgeVerve
EXL
MuleSoft
听
听
*If Applicable.
