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 size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of % from 2024 to 2030.

ReportPrime's newest research report, the “AI-Powered Intelligent Document Processing (IDP) Industry Forecast” looks at past sales and reviews total world AI-Powered Intelligent Document Processing (IDP) sales in 2022, providing a comprehensive analysis by region and market sector of projected AI-Powered Intelligent Document Processing (IDP) sales for 2023 through 2029.

This Insight Report provides a comprehensive analysis of the global AI-Powered Intelligent Document Processing (IDP) landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-Powered Intelligent Document Processing (IDP) portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Powered Intelligent Document Processing (IDP) market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Powered Intelligent Document Processing (IDP) and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity.

With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-Powered Intelligent Document Processing (IDP).

The United States market for AI-Powered Intelligent Document Processing (IDP) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

The China market for AI-Powered Intelligent Document Processing (IDP) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

The Europe market for AI-Powered Intelligent Document Processing (IDP) is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.

Global key AI-Powered Intelligent Document Processing (IDP) players cover:

• UiPath
• Microsoft
• AYR
• ABBYY
• WorkFusion

In terms of revenue, the global two largest companies occupied a share nearly % in 2023.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-Powered Intelligent Document Processing (IDP) market by product type, application, key players and key regions and countries.

Segmentation by Type:

• Cloud Based
• On-premises

Segmentation by Application:

• Financial
• Healthcare
• Government
• Logistics
• Others

This report also splits the market by region:

• Americas
• United States
• Canada
• Mexico
• Brazil
• APAC
• China
• Japan
• Korea
• Southeast Asia
• India
• Australia
• Europe
• Germany
• France
• UK
• Italy
• Russia
• Middle East & Africa
• Egypt
• South Africa
• Israel
• Turkey
• GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration:

• 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