Intelligent document processing statistics: market size, adoption and results

The intelligent document processing (IDP) market was worth between $3.2 billion and $10.4 billion in 2025, depending on the analyst, and is forecast to grow roughly 27% to 34% a year. Adoption of the AI behind it is now mainstream: 88% of organizations use AI regularly in at least one business function. Meanwhile, manual document work remains costly (an average of $9.84 to process one invoice) and document fraud is getting more sophisticated, with digital forgeries making up 35% of document fraud in 2025.

This page collects current, sourced statistics on the IDP market, AI adoption, the cost of manual document processing, document fraud and real customer results. Every number links to its source; we update the page as new reports are published. Last checked September 2026.

IDP market size and growth#

Market sizing varies widely between research firms because each defines IDP differently. Compare trends rather than totals.

1. North America leads. Both firms put North America at roughly 45% to 46% of the market. Fortune Business Insights puts the US at 68.6% of the North American market in 2025.
2. Banking, financial services and insurance is the biggest buyer, at 27.8% (Fortune Business Insights) to about 40% (Precedence Research) of spending.
3. OCR is the largest technology segment at 28.8% in 2025, while machine learning and deep learning is the fastest growing at a 30.9% CAGR (Fortune Business Insights).
4. Finance and accounting is the largest function using IDP (Fortune Business Insights).
5. Cloud deployment accounts for about half of the market (Precedence Research, 2024).
6. Large enterprises hold about 60% of spending, but small and mid-sized businesses are growing fastest (Precedence Research); Fortune Business Insights puts SME growth at a 29.0% CAGR.
7. Healthcare and life sciences is among the fastest-growing industries, at a 30.4% CAGR (Fortune Business Insights).

AI and agent adoption#

8. 88% of organizations report regular AI use in at least one business function, up from 78% a year earlier (McKinsey, The State of AI, November 2025).
9. Most are still scaling: McKinsey finds that while use is widespread, most organizations haven't yet seen enterprise-wide financial impact.
10. 40% of enterprise applications will include task-specific AI agents by 2026, up from less than 5% in 2025 (Gartner, August 2025).
11. Over 40% of agentic AI projects will be canceled by the end of 2027 because of cost, unclear business value or weak risk controls (Gartner, June 2025).
12. Only 17% of organizations use AI to fight payments fraud (AFP, 2026 survey).

For documents, this means the building blocks (OCR, classification, extraction) are mature, and the new work is in agents that collect missing documents, check them against each other and route exceptions. See agentic document processing.

The cost of manual document work#

Accounts payable

13. The average cost to process one invoice is $9.84 (Ardent Partners, State of ePayables 2025).
14. The average invoice takes 8.2 days to process.
15. 18.4% of invoices hit an exception.
16. Best-in-class AP teams process invoices at 79% lower cost and 79% faster than their peers, with exception rates 47% lower.
17. Best-in-class teams process 1.8 times as many invoices straight through as everyone else.
18. Only 57% of suppliers can send electronic invoices, so PDFs and paper remain a large share of volume.
19. AP staff spend 21.9% of their time on supplier inquiries.

See accounts payable automation for how invoice capture and matching cut these costs.

Mortgage lending

20. Independent mortgage banks spent $11,102 per loan on production in Q4 2025, down slightly from $11,109 in Q3 (Mortgage Bankers Association).
21. That compares with an average of $7,846 per loan from 2008 to 2025, so per-loan costs remain far above their long-run average.

Much of that cost is document handling: collecting, checking and re-keying bank statements, pay stubs and tax returns. See mortgage income verification.

Document and payments fraud#

22. Digital forgeries made up 35% of document fraud in 2025, up from a 29% average between 2022 and 2024 (Entrust 2026 Identity Fraud Report).
23. Physical counterfeits are still the larger share at 47%, but digital forgeries are more sophisticated.
24. National ID cards account for 46% of fraudulent document submissions globally; in the Americas, driver's licenses are the most common at 37%.
25. Deepfakes are linked to 1 in 5 biometric fraud attempts, and injection attacks rose 40% year over year.
26. 76% of US organizations experienced attempted or actual payments fraud in 2025 (AFP 2026 Payments Fraud and Control Survey).
27. Checks remain the most targeted payment method, cited by 58% of organizations.
28. 74% were affected by business email compromise.

Read more in document fraud detection systems.

What IDP delivers: Docsumo customer results#

These figures are published on docsumo.com and in Docsumo's customer stories.

29. 99% field-level accuracy on 250+ document types, with 95%+ straight-through processing.
30. Under 5 minutes per document, down from 2+ hours by hand, and $15 saved per processed document.
31. 64% lower fraud with cross-document validation.
32. Clear One Advantage processed 170,000 documents in 9 months with 96.67% less processing time.
33. Grid Finance reached 94%+ accuracy at under 1 minute per complex bank statement.
34. Arbor Realty Trust reached 99% accuracy on insurance compliance documents and saves 3,000+ hours a month.
35. Valtatech cut costs by 65%+ with 99%+ touchless invoices.
36. National Debt Relief achieved 95% straight-through processing on debt settlement documents.
37. More than 10,000 mid-sized and enterprise teams use Docsumo.

See more customer stories.

Trends to watch#

• From extraction to decisions. Buyers now expect IDP to validate data across documents, flag fraud and feed decisions, not just return fields.
• Agents on top of IDP. Agents that request missing documents, chase exceptions and update systems are the next layer, with Gartner's warning about canceled projects a reminder to start with measurable use cases.
• LLMs inside the pipeline. Language models help with unfamiliar layouts and free text; validation and human review keep them honest. See LLMs in document processing.
• Fraud as a first-class requirement. With digital forgeries rising, document checks move from a separate step into extraction itself.
• Measuring straight-through processing. Teams increasingly judge IDP by the share of documents with no human touch, not by OCR accuracy alone.

To build the business case, read how to measure IDP ROI.

The bottom line#

The numbers point the same way: document volumes and fraud are rising, manual processing is still expensive, and the AI to automate it is widely available. The gap is execution. Start with a high-volume document, measure straight-through processing and cost per document, and expand from there.

Frequently asked questions#