Document AI Market by Offering (IDP, Document Workflow Automation, Generative AI Document Generation, ECM, and Governance Tools), Use Case (Compliance Reports, Customer Feedback, KYC Document, RFP Responses, Purchase Orders) - Global Forecast to 2030

The global Document AI market is anticipated to grow at a compound annual growth rate (CAGR) of 13.5% over the forecast period, from an estimated USD 14.66 billion in 2025 to USD 27.62 billion by 2030. The market is growing as adaptive document learning models enable systems to self-improve through real-time user feedback, reducing the need for manual retraining and improving accuracy across diverse document formats. Also, graph-based document intelligence is enhancing contextual understanding by linking entities and relationships within multi-page documents, which is particularly valuable for legal, insurance, and compliance workflows. However, limited standardization of document data formats across industries continues to restrain interoperability and hinders seamless model deployment at scale.

“IDP solutions dominate the Document AI market as enterprises prioritize end-to-end automation and compliance-ready data processing”

Intelligent Document Processing (IDP) solutions are projected to hold the largest market share in the Document AI market, driven by their ability to deliver complete automation across unstructured and semi-structured document workflows. IDP platforms integrate OCR, NLP, and machine learning to extract, classify, and validate data from invoices, forms, contracts, and compliance documents with high accuracy. Enterprises in sectors such as banking, insurance, and healthcare are adopting IDP to accelerate document turnaround times, reduce manual data entry, and maintain audit-ready digital records. The rapid expansion of remote operations and paperless initiatives has further increased demand for cloud-based IDP platforms. Vendors like UiPath, ABBYY, and Kofax are enhancing IDP solutions with generative AI, RPA integration, and pre-trained models for specific domains, enabling faster deployments and higher ROI. Additionally, the growing need for explainable AI and data lineage capabilities aligns with regulatory compliance requirements, reinforcing IDP’s position as the preferred foundation for enterprise-scale document automation.

“Unstructured documents lead the Document AI market as enterprises automate complex, high-volume content processing”

Unstructured document types are expected to hold the largest market share in the Document AI market, reflecting the growing need to process emails, contracts, reports, handwritten notes, and multimedia-rich records that lack fixed templates. Across industries such as banking, healthcare, and government, most enterprise data remains unstructured, creating a significant demand for advanced AI models capable of understanding variable document formats. Recent advancements in layout-aware transformers, multimodal AI, and natural language understanding are allowing Document AI systems to accurately extract contextual information from text, tables, and images simultaneously. Vendors like Google, Microsoft, and AWS have expanded their solutions to handle multi-format documents using pre-trained models fine-tuned for specific industries. The adoption of unstructured document processing is also being accelerated by compliance-driven automation and data governance requirements, particularly for audit trails and customer communications. As enterprises focus on digitizing legacy archives and enabling searchable document repositories, unstructured document intelligence has become central to driving efficiency, improving decision-making, and ensuring regulatory transparency across large-scale digital ecosystems.

“Asia Pacific to witness rapid growth fueled by innovation and evolving strategies, while North America leads in market size”

The Document AI market exhibits strong regional differences, with the Asia Pacific region predicted to grow the fastest due to the rapid digital transformation in countries such as India, Indonesia, and Vietnam, supported by initiatives like Digital India and Japan’s Society 5.0. Businesses are increasingly investing in cloud-based Document AI and IDP solutions to automate workflows in BFSI, healthcare, logistics, and government, driven by the need for multilingual OCR and natural language processing capabilities. The rise of fintech, digital payments, and e-governance is also driving the need for document automation in compliance, onboarding, and identity verification. Meanwhile, North America is expected to lead in 2025, thanks to its advanced infrastructure, early adoption, and vendors such as Google, Microsoft, AWS, IBM, and Adobe. Strict regulations, such as HIPAA, SOX, and GDPR, are driving the adoption of AI-driven compliance and audit solutions, particularly in the finance, insurance, and healthcare sectors, which utilize AI for classification, contract analysis, and claims processing. The integration of generative AI, RAG, and explainability models enhances document accuracy and understanding. Thus, North America’s innovation and Asia Pacific’s digital growth are jointly shaping the global Document AI landscape, driving market expansion.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the market.

• By Company: Tier I – 33%, Tier II – 44%, and Tier III – 23%
• By Designation: Directors – 36%, Managers – 41%, and others – 23%
• By Region: North America – 39%, Europe – 18%, Asia Pacific – 32%, Middle East & Africa – 4%, and Latin America – 7%

The report includes the study of key players offering solutions and services. It profiles major vendors in the Document AI market. The major players in the Document AI market include Google (US), Microsoft (US), SAP (Germany), IBM (US), AWS (US), Oracle (US), Adobe (US), ABBYY (US), Automation Anywhere (US), UiPath (US), Appian (US), H2O.ai (US), EdgeVerve (India), Super.ai (US), Rossum (UK), Tungsten Automation (US), OpenText (Canada), Hyland (US), Hyperscience (US), EXL (US), Snowflake (US), Salesforce (US), Grooper (US), DocDigitizer (US), Cinnamon (Japan), Docugami (US), Mistral AI (France), Upstage (US), DocByte (Belgium), Infrrd (US), Docketry (US), OpenAI (US), Gamma (US), AidocMaker (US), Anthropic (US), Checkbox (US), Docubee (US), DocuPilot (US), Docsumo (US), Formstack (US), HyperWrite (US), Lindy (US), QuillBot (US), and Scribe (US).

Research coverage

This research report covers the Document AI market, which has been segmented by offering, document type, use cases, and vertical. The offering segment is split into solutions and services. The solutions segment is further split into IDP, Document Workflow Automation, Generative AI Document Generation, and ECM & Governance Tools. Services are segmented into professional and managed services. The market, by document type, includes structured, unstructured, semi-structured, and multimodal/mixed content. Use cases include finance & accounting, legal & compliance, customer service, marketing & sales, HR, and supply chain & logistics. The verticals covered are BFSI, healthcare & life sciences, government & public sector, retail & e-commerce, manufacturing, energy & utilities, telecommunications, transportation & logistics, education, and other verticals. The regional analysis covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (advancements in OCR+NER fusion pipelines delivering higher precision, growth of e-signature and e-workflow ecosystems tying documents to transactions, marketplace bundling of capture tools with analytics and BI tools), restraints (cross-border data residency limits for model training and telemetry, high annotation cost for rare and long-tail templates), opportunities (synthetic-document marketplaces for niche training datasets, generative-assisted contract drafting integrated with clause libraries, auto-remediation engines that self-heal extraction errors through feedback loops), and challenges (maintaining extraction stability as templates and forms evolve, securing annotation supply chains against malicious or low-quality labels)
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches
• Market Development: Comprehensive information about lucrative markets—the report analyses the Document AI market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments
• Competitive Assessment: In-depth assessment of market shares, growth strategies and offerings of leading players like Google (US), Microsoft (US), SAP (Germany), IBM (US), AWS (US), Oracle (US), Adobe (US), ABBYY (US), Automation Anywhere (US), UiPath (US), Appian (US), H2O.ai (US), EdgeVerve (India), Super.ai (US), Rossum (UK), Tungsten Automation (US), OpenText (Canada), Hyland (US), Hyperscience (US), EXL (US), Snowflake (US), Salesforce (US), Grooper (US), DocDigitizer (US), Cinnamon (Japan), Docugami (US), Mistral AI (France), Upstage (US), DocByte (Belgium), Infrrd (US), Docketry (US), OpenAI (US), Gamma (US), AidocMaker (US), Anthropic (US), Checkbox (US), Docubee (US), DocuPilot (US), Docsumo (US), Formstack (US), HyperWrite (US), Lindy (US), QuillBot (US), and Scribe (US)

The report also helps stakeholders understand the pulse of the Document AI market, providing them with information on key market drivers, restraints, challenges, and opportunities. Show more