crowdstrike at a glance
Latest daily volume: 5,912 (as of 2026-10-14) · Locale: EN-US
- vs ~7 days earlier: 5.0%
- vs ~30 days earlier: -42.1%
- vs ~1 year earlier: 80.2%
Topic groups: Cybersecurity & Identity
- In the 12 months to Oct 14, 2026,
crowdstrikeaveraged 2,891 Google searches a day in the United States. - The busiest day was Feb 23, 2026, with 11,822 searches, 4.1× the daily average.
- The 30 days to Oct 14, 2026 had 155,441 searches, up 25% from the 30 days before (124,145).
- Tuesday is the strongest day of the week, averaging 3,622 searches, 25% above the average day.
- The 45-day forecast expects about 1,443 searches a day, 72% below the last 30 days' average.
Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free Google search volume checker.
Overview
Crowdstrike reflects real buyer and learner intent in the United States. The latest modeled daily demand is 5,912, with monthly volume near 86,980 and fresh daily readings through 2026-10-14. Analysts pair these signals with news flow to judge attention versus baseline noise.
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Why Is CrowdStrike So Popular?
Endpoint and workload protection buyers, incident responders, and investors research the Falcon portfolio, competitive benchmarks, and threat narratives.
Search Volume Trends
Episodic spikes can align with attributed intrusions, major product drops, or peer earnings that reset expectations for endpoint demand.
How to Use This Data
Use daily moves alongside patch cycles, disclosed incidents, earnings, and major conferences so you interpret spikes as sustained shifts or brief headlines.
For Marketing Agencies and Content Creators
Schedule guides, comparisons, and certification explainers when lift appears; reinforce claims with frameworks and vendor-neutral definitions buyers already query.
For DTC Brands
Coordinate fraud-awareness and account-security messaging when adjacent consumer security searches climb—especially around retail peaks.
For Stock Traders
Use branded endpoint and identity queries as secondary attention metrics around earnings and sector rotation—prefer slope and persistence over single prints.
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