Intelligent Document Processing Market by Function (Finance & Accounting, Human Resources, Supply Chain & Procurement, Others), by Deployment Model (On-premises, Cloud), by Enterprise Type (SMEs, Large Enterprises), by Industry (BFSI, Healthcare & Life Sciences, Retail & E-commerce, Manufacturing, Government, IT & Telecom, Others), by By Function (Finance & Accounting, Human Resources, Supply Chain & Procurement, Others), by South America (Brazil, Argentina, Rest of South America), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of the Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2024-2032
The Intelligent Document Processing Marketsize was valued at USD 1.33 USD billion in 2023 and is projected to reach USD 9.74 USD billion by 2032, exhibiting a CAGR of 32.9 % during the forecast period.Intelligent Document Processing (IDP) is a cutting-edge technology that employs artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and optical character recognition (OCR) for the automation of the extraction, interpretation, and management of information from different types of documents. IDP converts the unstructured data from various sources, like emails, PDFs, scanned documents, and images, into structured, actionable data. Significant characteristics of IDP consist of automatic data gathering, classification, and extraction; the potential to deal with different document formats; and the integration with other business systems to make workflow automation seamless. Besides, it is based on the most up-to-date technology that can effectively increase the accuracy and efficiency of the process during its usage. IDP is a beneficial practice because it has numerous advantages. It is the main reason for the decrease in manual processing time and errors and, therefore, the increased productivity and operational efficiency. IDP enhances data accuracy and compliance through a standard method of data handling and eliminates human error. In addition, it gives the opportunity to scale up; thereby, businesses can easily manage huge numbers of documents, and with data analysis, they can obtain valuable insights, which will come in handy for making better decisions.
Function
Deployment Model
Enterprise Type
Industry
In addition to the aforementioned topics, this comprehensive report also covers:
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 32.9% from 2018-2032 |
Segmentation |
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Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 32.9% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
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