40 Intelligent Document Processing Statistics

Intelligent Document Processing, or IDP, is made possible by several innovations in the fields of AI and automation. 

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Megon Venter

B2B SaaS Content Writer

Megon is a B2B SaaS Content Writer with 7 years of experience in content strategy and execution. Her expertise lies in the creation of document management tutorials and product comparisons.

Market Size & Growth

The global Intelligent Document Processing (IDP) market is experiencing rapid expansion, driven by growing demand for automation, compliance, and operational efficiency across industries.

• The global IDP market was valued at USD 1.79 billion in 2023 and is expected to reach USD 11.28 billion by 2030, growing at a CAGR of 30.1% (Fortune Business Insights)
  
  
• Another report estimates the market at USD 1.1 billion in 2022, projected to hit USD 5.2 billion by 2027 at a CAGR of 37.5% (MarketsandMarkets)
  
  
• A third forecast predicts a rise from USD 1.03 billion in 2021 to USD 6.38 billion by 2027, with a CAGR of 35.4% (360iResearch)
  
  
• 78% of enterprises consider intelligent automation, including IDP, as a critical driver of digital transformation (Deloitte)
  
  
• 62% of companies say IDP is essential for scaling automation efforts (Forrester via ABBYY)
  
  
• The global IDP market was valued at USD 2.45 billion in 2024, and is projected to reach USD 46.23 billion by 2033, growing at a CAGR of 35.2% between 2025 and 2033 (IMARC Group)
  
  
• According to Research Nester, the IDP market stood at USD 2 billion in 2024, expected to climb to USD 62 billion by 2037, at a 30% CAGR from 2025 to 2037 (Research Nester)
  
  
• Grand View Research reports USD 1.79 billion in revenue in 2023, expected to grow to USD 11.29 billion by 2030, at a 30.1% CAGR (2024–2030) (Grand View Research)
  
  
• Verified Market Research estimates the market at USD 2.69 billion in 2024, with a forecasted CAGR of 27.64% over the forecast period
  (Verified Market Research)
  
  
• MarketsandMarkets reported a market size of USD 1.1 billion in 2022, with a projected rise to USD 5.2 billion by 2027, at a 37.5% CAGR (2022–2027 (MarketsandMarkets)

Use Cases & Adoption

IDP is being adopted across sectors such as finance, healthcare, and logistics to automate high-volume, document-intensive workflows, significantly reducing manual labor and processing times.

• 42% of organizations use IDP to automate invoice and billing document processing (Everest Group)
  
  
• 38% of businesses apply IDP in claims processing (insurance) (Everest Group)
  
  
• 35% of enterprises use IDP for compliance and regulatory reporting (Forrester via ABBYY)
  
  
• A 20–30% improvement in processing time is reported after implementing IDP solutions (Deloitte)
  
  
• By 2025, 50% of business-to-business invoices globally are projected to be processed and paid without manual intervention, thanks to IDP-driven automation in invoice workflows (Forbes via Nividous)
  
  
• The BFSI sector (banking, financial services & insurance) accounted for ~34% of IDP market revenue in 2022, making it the largest vertical by adoption (Nividous)
  
  
• In healthcare, IDP showed 190–200% year‑over‑year growth in 2020, demonstrating rapid expansion in processing patient records, claims, and compliance documents (Klippa via Nividous)
  
  
• A Microsoft survey found that 47% of SMEs identified cost as a top barrier to adopting IDP technologies, highlighting adoption challenges in smaller organisations (CBSL Group, citing Microsoft)
  
  
• Organizations implementing IDP report processing time reductions of 50% or more, with substantial gains in productivity and efficiency (Roboyo via CBSL Group)
  
  
• IDP solutions can reduce operating costs by approximately 30% year-over-year, driven by automation and reduced manual labor (Data Semantics via CBSL Group)
  
  

Technology Integration

Modern IDP platforms are integrating advanced technologies like machine learning, natural language processing, and large language models to enhance document classification, data extraction, and end-to-end automation.

• 75% of IDP solutions now incorporate AI-based OCR and NLP (Everest Group)
  
  
• 80% of enterprises using robotic process automation (RPA) plan to integrate IDP to process unstructured data (UiPath Survey)
  
  
• More than 70% of documents in enterprises contain unstructured or semi-structured data, driving demand for IDP (Forrester)
  
  
• Machine Learning (ML) and Natural Language Processing (NLP) collectively accounted for 55.8% of the global IDP market share in 2021, expected to rise to 64.7% by 2031 (Whatech)
  
  
• In industry-specific deployments, ML-based IDP solutions have achieved up to 68% adoption in finance, with reported 61% reductions in error rates (Research Nester)
  
  
• As of 2023, machine learning accounted for 46.8% of revenue share among core IDP technologies, ahead of rule-based and template-driven methods (Research Nester)
  
  
• New transformer-based models, such as UDOP, unify layout, visual, and text information to outperform traditional IDP tools across 8 standard document tasks (arXiv)
  
  
• Adaptive learning and continuous model training enable IDP platforms to evolve, reducing setup requirements for unseen document types (Forage.ai)
  
  
• Next-gen IDP solutions combining RPA, OCR, and large language models (LLMs) have reduced document processing times by up to 94% (Academia.edu)
  
  
• Platforms integrating IDP with generative AI agents are enabling 80%+ reductions in workflow times while enhancing compliance and traceability (arXiv)
  
  

Future Outlook

With increasing digital transformation efforts, IDP is expected to evolve through innovations such as multimodal AI, low-code platforms, and explainable automation, transforming how businesses manage unstructured data.

• By 2026, 70% of organizations are expected to use IDP in some form as part of digital transformation initiatives (Gartner)
  
  
• IDP is predicted to enable over 50% of end-to-end enterprise workflows by 2030, replacing traditional OCR (Forrester)
  
  
• IDP adoption is expected to exceed 90% in enterprise environments within the next five years, largely due to accelerated demand for cloud-native and customizable AI platforms (IMARC Group)
  
  
• The IDP market is projected to grow to USD 6.19 billion by 2030, up from USD 2.75 billion in 2024, at a CAGR of 18.12% (2024–2030) (Mordor Intelligence)
  
  
• Human-in-the-loop AI and explainable IDP will become mandatory in regulated sectors, ensuring traceability, compliance, and improved AI transparency (Emergen Research)
  
  
• The global IDP market will rise from USD 2.29 billion in 2024 to USD 9.56 billion by 2029, registering a CAGR of 33.5% (The Business Research Company)
  
  
• Future IDP solutions will leverage deep learning and large language models (LLMs) for context-aware document understanding, reducing the need for template-based processing (Emergen Research)
  
  
• Edge and hybrid cloud IDP deployments will grow significantly, driven by privacy, latency, and offline document processing demands (Emergen Research)
  
  
• By 2030, IDP platforms are expected to handle multimodal and multilingual documents, integrating handwriting, images, text, audio, and biometric formats (Emergen Research)
  
  
• Low-code/no-code IDP tools will become standard, allowing business users to build document workflows without writing code (Emergen Research)

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