Arista Networks vs CrowdStrike
Side-by-side comparison of AI visibility scores, market position, and capabilities
Santa Clara cloud networking (NYSE: ANET) at $7.0B FY2024 revenue (+20%); AI networking +50%, 400G/800G GPU cluster switches for Microsoft/Meta/Google competing with Cisco and NVIDIA InfiniBand for AI data center fabric.
About
Arista Networks, Inc. is a Santa Clara, California-based cloud networking company — publicly traded on the New York Stock Exchange (NYSE: ANET) as an S&P 500 Information Technology component with a market capitalization of approximately $120 billion — designing and selling programmable Ethernet switches, routers, and network management software for cloud data centers, artificial intelligence compute clusters, and enterprise campus networks through approximately 4,400 employees worldwide. In fiscal year 2024, Arista reported revenue of $7.0 billion (+20% year-over-year), with AI networking revenue growing more than 50% as hyperscale customers (Microsoft, Meta, Google) deployed Arista's 400G and 800G Ethernet switches as the network fabric interconnecting tens of thousands of NVIDIA H100 and H200 GPUs in AI training clusters. CEO Jayshree Ullal has led Arista since 2008, executing the strategy of building the world's most advanced Ethernet switching operating system (EOS, Extensible Operating System) and using EOS's programmability and reliability advantages to win the hyperscale cloud data center market from Cisco — a share gain that created Arista's growth from a startup to a $7B+ revenue company in a decade. Arista's EOS software runs across the entire product family (campus, data center, AI cluster switches) with a single code base and management plane, enabling network operators to write Python scripts and custom automation for every switch in the network from one operating system.
CrowdStrike (CRWD) reported $3.95B ARR in FY2025 (ended Jan). Revenue $3.74B, up 29% YoY. Market cap ~$85B. 8,600+ employees. Austin, TX. AI-native cybersecurity platform. Charlotte AI for threat detection.
About
CrowdStrike is an AI-native cybersecurity company founded in 2011 by George Kurtz, Dmitri Alperovitch, and Gregg Marston and headquartered in Austin, Texas, that built the endpoint detection and response (EDR) category and has since expanded into the broadest cloud-native cybersecurity platform in the industry. The company was founded on the insight that traditional antivirus software — signature-based, retrospective, and endpoint-isolated — could not keep pace with sophisticated adversaries operating at machine speed. CrowdStrike's founding architecture, the Falcon platform, was designed cloud-native from day one: a single lightweight agent on the endpoint feeding a cloud-based AI that learns from trillions of security events across every customer simultaneously. The company trades on Nasdaq under the ticker CRWD.\n\nThe CrowdStrike Falcon platform consolidates more than 28 security modules across endpoint security, identity threat protection, cloud security, next-gen SIEM and log management, threat intelligence, and managed detection and response — all delivered through a single agent and unified console. The AI at the platform's core, Charlotte AI, provides conversational security operations, automated investigation, and AI-generated threat summaries that reduce analyst workload. CrowdStrike's threat intelligence team, Adversary Intelligence, tracks and names nation-state and criminal threat actors globally, giving customers predictive insight into campaigns before they hit their environments.\n\nCrowdStrike reported $3.95 billion in annual recurring revenue (ARR) for FY2025 and total revenue of $3.74 billion, up 29% year over year, with a market capitalization of approximately $85 billion. The company has 8,600+ employees and counts a substantial share of the Fortune 500 and global governments as customers. Despite the July 2024 sensor update incident that caused a significant IT outage affecting millions of Windows systems globally, CrowdStrike's customer retention remained strong — a testament to the platform's depth of integration and the switching costs built into its consolidated architecture.
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