Intelligent Document Processing Market Size & Share, Component (Solutions, Services); End user; Organization Size; Deployment Mode - SWOT Analysis, Competitive Strategic Insights, Regional Trends 2025-2037

Intelligent Document Processing Sector: Growth Drivers and Challenges

Growth Drivers

• Increasing digital transformation initiatives: The drive for digital transformation is fueling the influx of investments, which summed up to USD 1.9 trillion in 2023, . Furthermore, the NIST’s Cybersecurity Framework (SP 800-53) is aiding in the promotion of secured online workflows, specifically in healthcare and BFSI segments. Companies are keen on pursuing cloud-based intelligent document processing solutions to cut down infrastructure costs by 30%. In terms of the regional impact, the implementation of the NIS2 Directive and GDPR in Europe has boosted market adoption by 25% CAGR, primarily in retail and manufacturing.
• Rising volume of unstructured data and integration with Robotic Process Automation (RPA): The advent of the Internet has led to a massive boom in unstructured information, such as graphics, emails, and documents.  Additionally, it is estimated that about 65% of corporate data is in the cloud, which impels IDP integration for uninterrupted operations. Intelligent document processing solutions such as Anywhere’s Document Automation are equipped with multimodal capabilities, which reduce processing errors by 72% and simultaneously handle over 75 document types. Additionally, RPA integrated platforms, including UiPath, automate end-to-end workflows, thereby minimizing processing times by up to 60%.

Technological Trends Shaping the Intelligent Document Processing Market

Traditional business processes are being increasingly replaced by modern cloud-based solutions. Some of the most commonly adopted technologies, such as robotic process automation integration, natural language processing, and optical character recognition, are among the noteworthy advancements in manufacturing, telecom, and finance industries etc. The trends below drive efficiency, reduce errors, and ensure compliance, thereby enhancing customer experience and reducing capital costs.  

AI & ML Transforming Intelligent Document Processing

AI and ML allow IDP systems to efficiently extract, classify, and analyze data from diverse documents, cutting manual processing time by up to 69%, according to NIST reports. For example, companies like ABBYY have leveraged sophisticated algorithms to process invoices 50% faster, as per their data. The following table showcases the benefits of integrating AI and ML into IDP workflows, highlighting improvements in efficiency, cost reduction, and process optimization across different sectors.

AI & ML Integration in IDP: Company Outcomes with AI & ML Integration

Cybersecurity Measures in the Intelligent Document Processing Market

More and more businesses face cybersecurity threats with the expanding volume of customer and enterprise-sensitive data.  End users are keen on integrating advanced AI models to bypass threats, including data breaches, ransomware, and phishing attacks, to ensure stakeholder security. According to Research Nester, over 50% of firms encountered phishing and other breaches as a result of a lack of management efficiency.  The table below illustrates a few recent cyberattacks and solutions adopted by the affected entities.

Challenges

• Shortage of Skilled Workforce: The International Science Council (ISC) reported a global shortage of 3.5 million cybersecurity experts in 2023 and created a slump in market integration in business processes. In the U.S. in particular, there was an 80% stark gap in demand and availability of skilled workforce, further hindering IDP proliferation. The average training and onboarding costs for U.S.-based entities is about USD 110,000, in turn, straining budgets. A similar trend persists globally, thus creating an entry barrier for several small-scale industry players with limited capital expenditure capacity.