NetApp
Enterprise intelligent data infrastructure and AI-ready data services for hybrid cloud, storage, governance, and GenAI workloads.
NetApp provides intelligent data infrastructure, ONTAP storage, cloud data services, and AI Data Engine capabilities for data preparation, governance, security, and GenAI/ML workloads across hybrid environments.
Positioning
Intelligent data infrastructure for enterprise AI
Key facts
- HQ location
- San Jose, CA, USA
- Founded
- 1992
- Employee range
- 10001+ (~12,000)
- Funding stage
- Public
- Company type
- Public (Public (NASDAQ: NTAP))
- Pricing model
- Subscription (Enterprise hardware/software/subscription and cloud-service pricing)
- Last updated
- Jun 21, 2026
Revenue estimate
$6.57B FY2025 net revenues
Valuation estimate
Public market cap varies
Investments
Public company; pre-IPO venture funding historically
Target customers
Large enterprises, AI/ML infrastructure teams, cloud teams, regulated industries, and data platform teams
Key competitors
Dell EMC, Pure Storage, HPE, IBM Storage, Nutanix, Hitachi Vantara, Cohesity, Rubrik
Known customers
AWS, Microsoft Azure, Google Cloud and large enterprise customers across finance, healthcare, telecom, and government
Classification (raw research text)
- Core focus
- AI-ready data infrastructure and hybrid cloud storage
- Core industry
- Enterprise IT Infrastructure / Cloud Data Services
- Core category
- Data storage and AI data management platform
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- System / API Integration Secondary feature
- Retrieval-Augmented Generation Secondary feature
- Enterprise Search / Knowledge Management Secondary feature
- AI / LLM Data Pipeline Primary focus
- Document AI / Document Processing Secondary feature
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Not emphasized
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Not emphasized
- Multi-agent Orchestration / Runtime Not emphasized
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Not emphasized
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Secondary feature
- AI / LLM Data Pipeline Primary focus
- Document AI / Document Processing Secondary feature
- Model Deployment / Inference Infrastructure Secondary feature
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Not emphasized
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Not emphasized
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Not emphasized
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Secondary feature
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized