Intelligent document processing statistics: market size, adoption, costs and results

The intelligent document processing (IDP) market was worth $2.66 billion to $10.41 billion in 2025, depending on which of seven research firms you ask, and most put it near $3 billion. Growth forecasts run from 17.75% to 33.8% a year. AI use rises with company size: 37% of US firms with 250 or more employees use it, against 17% to 20% of all businesses. Manual document work stays expensive, at $9.84 to process one invoice and $10,936 to produce one mortgage loan.

Every figure below names its source, and the links are at the end. Last checked September 2026.

IDP market size and growth#

Research firms define IDP differently, so compare growth rates and segments rather than totals. Six of the seven estimates below were updated in September 2026.

MarketsandMarkets now sizes a wider "document AI" market instead, at $14.77 billion in 2025 and $35.34 billion by 2031, without a separate IDP figure (MarketsandMarkets). Gartner counts "over 100 vendors, including from adjacent markets" in its first Magic Quadrant for IDP (Gartner, 2025), and The Business Research Company finds the top 10 hold only 19.02% of revenue.

IDP market by region#

North America is the largest region in every estimate. The firms disagree on its share because they count the rest of the world differently.

Within North America, Fortune Business Insights puts the US at over 68.6% of sales, about $3.3 billion in 2025. Asia Pacific grows fastest, at a 33.6% CAGR according to Straits Research and 19.75% according to Mordor Intelligence.

• OCR is the largest technology

  28.8% of the market in 2025; machine learning grows fastest, at a 30.9% CAGR. Fortune Business Insights

• Finance and accounting leads

  The largest business function using IDP. Fortune Business Insights

• Cloud is half to three-quarters

  About 50% of the market in 2024 (Precedence Research) and 74.10% of revenue in 2025 (Mordor Intelligence).

• Large firms buy most

  About 60% of spending in 2024 (Precedence Research), though SMEs grow faster, at a 29.0% CAGR (Fortune Business Insights).

• Healthcare grows fast

  Healthcare and life sciences grow at a 30.4% CAGR. Fortune Business Insights

Document processing adoption and unstructured data#

• 78% of enterprises

  are operational with AI in their document processing, in a survey of 600 enterprises in the US, Germany, Austria and Switzerland. AIIM, 2025

• 61% of IDP processes

  still include paper documents. AIIM, 2025

• 66% of new IDP projects

  replace an existing system rather than starting from scratch. AIIM, 2025

• 70% to 90% of organizational data

  is unstructured, such as documents and multimedia files. Gartner, 2026

• 39% say their unstructured data is AI-ready

  , against 65% for structured data. Harvard Business Review Analytic Services survey sponsored by Hyland, 2026

• 59% of finance functions

  use AI, and accounts payable automation is the second most common use, at 37% of them. Gartner, 2025

Gartner also expects organizations to abandon 60% of AI projects unsupported by AI-ready data through 2026. Documents are most of that data, which is why extraction and validation come before any AI model can use them.

For how much of all data is unstructured, and where the popular 80% figure comes from, see our unstructured data statistics.

AI and agent adoption#

• 17% to 20% of US businesses

  used AI in at least one business function from December 2025 to May 2026. US Census Bureau

• 37% of firms with 250+ employees

  use AI, and 32% of firms with 100 to 249. US Census Bureau

• 40% of enterprise apps

  will include task-specific AI agents by 2026, up from less than 5% in 2025. Gartner

• Over 40% of agentic AI projects

  will be canceled by the end of 2027, because of rising costs, unclear value or weak risk controls. Gartner

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

The cost of manual document work#

• $9.84 per invoice

  The average cost to process one invoice. Ardent Partners, sponsored analyst report, 2025

• 8.2 days per invoice

  The average time to process one. Ardent Partners, 2025

• 18.4% of invoices

  hit an exception. Ardent Partners, 2025

• 79% lower cost for the best AP teams

  Best-in-class teams are also 79% faster and put more than 1.8 times as many invoices straight through. Ardent Partners, 2025

• $10,936 per mortgage loan

  Production cost at independent mortgage banks in Q2 2026, down from $11,898 in Q1 but above the $7,945 average since 2008. Mortgage Bankers Association

Part of each cost is people reading, checking and retyping documents: invoices in AP; bank statements, pay stubs and tax returns in a loan file. See accounts payable automation and income verification.

What IDP delivers: Docsumo customer results#

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

• 99%99%field-level accuracy across 250+ document types
• 95%+95%+of documents processed straight through, without manual review
• <5 min<5 minper document, down from 2+ hours by hand
• $15$15saved per processed document
• 10,000+10,000+mid-sized and enterprise teams use Docsumo

• 170,000170,000documents in 9 months at ClearOne Advantage, with 96.67% less processing time
• <1 min<1 minper complex bank statement at Grid Finance, at 94%+ accuracy
• 3,000+3,000+hours a month saved at Arbor, with 99% accuracy on insurance compliance documents
• 99%+99%+touchless invoices at Valtatech, with a 65%+ cost reduction
• 95%95%straight-through processing on debt settlement documents at National Debt Relief

AI document processing trends for 2026#

• From extraction to decisions

  Buyers expect IDP to check data across documents and feed decisions, not just return fields.

• Agents on top of IDP

  Agents request missing documents, chase exceptions and update systems. Gartner's cancellation forecast argues for a measurable first use case.

• LLMs inside the pipeline

  Language models read unfamiliar layouts and free text; validation and human review keep them honest. See LLMs in document processing.

• Straight-through processing as the metric

  Teams judge IDP by the share of documents no person touches, not by OCR accuracy alone.

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

Often-quoted IDP statistics, checked#

An earlier version of this page, "50 Key Statistics and Trends in IDP for 2025," carried figures that other sites still quote. Most traced back to secondary blogs. We followed each to its original source, and the current figure sits beside it where one exists.

Our take. Two of the most-quoted rows above, 99% accuracy and 52% fewer errors, each began as a single vendor's claim. Treat any headline accuracy figure, ours included, as a reason to test, not a finding. Run a batch of your own documents and count the fields a person had to fix. That number is the one to put in the business case.

Where to start with these numbers#

The numbers point one way: analysts expect IDP spending to grow quickly, AI use rises with company size, and manual document work is still expensive. The gap is execution. Start with one high-volume document, measure straight-through processing and cost per document, and expand from there.

Book a demo with a few of your own documents, or start a free trial.

Frequently asked questions#