Top Document AI Companies

The global Document AI market is expected to grow at a CAGR of 13.5% over the forecast period, from an estimated USD 14.66 billion in 2025 to USD 27.62 billion by 2030, driven by advancements in usability and localization. The introduction of low-code and visual workflow designers enables business users to build and deploy intelligent document workflows without requiring extensive technical expertise, significantly accelerating adoption across mid-sized enterprises. Simultaneously, improvements in multilingual OCR and script recognition for non-Latin languages such as Devanagari, Arabic, and Cyrillic are expanding the market’s reach across emerging economies, particularly in Asia, the Middle East, and Eastern Europe. These factors are enabling enterprises to automate document-intensive operations with greater accuracy, speed, and inclusivity.

To strengthen their market presence, Document AI vendors are adopting strategic measures, including partnerships, acquisitions, and product integrations. Leading providers, such as Google, AWS, and Adobe, are expanding their capabilities through collaborations with regional system integrators and cloud providers to enhance domain-specific offerings. Acquisitions focused on AI model training, data annotation, and workflow automation are also helping vendors broaden their value chain.

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In January 2025, IBM acquired StreamSets to strengthen its data ingestion and integration layer, enabling more seamless processing of document data.

In July 2025, Oracle announced a USD 1 billion investment in regional AI/cloud capacity in the Netherlands to expand GPU and inference capacity for enterprise AI workloads.

Google

Google has established a strong position in the document AI market through its comprehensive suite of intelligent document processing solutions built on Google Cloud. Its Document AI platform combines advanced OCR, natural language understanding, and layout analysis powered by proprietary large language models. Google leverages its scalable infrastructure and pretrained models to automate document workflows across banking, insurance, and public sector applications. Strategic collaborations—such as with BBVA for generative AI-based document productivity—demonstrate Google’s focus on embedding AI within enterprise operations. The company continues to expand its product footprint with domain-specific parsers, multilingual model support, and integrated compliance features, positioning itself as a leader in scalable, cloud-native document automation.

Adobe

Adobe plays a key role in the Document AI ecosystem by integrating AI capabilities across its document management and digital workflow products. The Adobe Sensei platform powers intelligent document understanding, content extraction, and form recognition within Adobe Acrobat and Experience Cloud. Through AI-enhanced features such as automatic tagging, metadata generation, and PDF intelligence, Adobe simplifies enterprise content workflows and compliance management. Its focus on integrating generative AI for smart document creation and summarization further strengthens its market relevance. Adobe also leverages its extensive customer base and ecosystem of APIs, enabling organizations to automate complex document workflows spanning creation, analysis, and collaboration within secure, enterprise-grade environments.

Market Ranking

Leading players, including Microsoft, AWS, Google, IBM, and Appian, are driving the competitive dynamics of the Document AI market through focused innovation, acquisitions, and ecosystem expansion. Microsoft integrates AI-driven document intelligence into its Azure Form Recognizer and Copilot offerings, enhancing data extraction and automation across Microsoft 365 environments. AWS strengthens its position with Amazon Textract and Comprehend, expanding through partnerships with system integrators and workflow vendors to offer scalable IDP solutions. Google leverages its Vertex AI and Document AI platforms, incorporating domain parsers and multilingual OCR, to emphasize cloud-native scalability and model customization. IBM integrates watsonx.ai with automation and content management solutions to deliver explainable and compliance-ready document processing workflows. Appian has secured a leading position in the Document AI market through its unified, low-code automation platform, which integrates intelligent document processing, AI-driven workflow orchestration, and a connected data fabric. This enables enterprises to automate complex, document-centric processes with speed, scalability, and compliance across regulated industries.

Related Reports:

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

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