NetApp
Research Team Data
Published
Intelligent data infrastructure for enterprise AI
NASDAQ: NTAP
Company profile
Overview
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.
At a glance
Key facts
- HQ location
- San Jose, CA, USA
- Founded
- 1992
- Employee range
- 10001+~12,000
- Funding stage
- Public
- Company type
- PublicPublic (NASDAQ: NTAP)
- Last updated
- Pricing model
- SubscriptionEnterprise hardware/software/subscription and cloud-service pricing
Business context
Financials
- Revenue estimate
- $6.57B FY2025 net revenues
- Valuation estimate
- Public market cap varies
- Investments
- Public company; pre-IPO venture funding historically
Market context
Relationships
- 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
Source context
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 industry tags from this text is a future phase.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI Developer ToolsKnowledge & RAGDocument AILLM DeploymentAI Quality & ObservabilityTraditional MLAI Governance & RiskAnalytics & BI