AI-powered observability platform — APM, infrastructure, logs & runtime application security for large enterprises
AI exposure 6% — derived from reported segment revenue, not asserted.
AI Infrastructure Software: Who Gets Paid When Enterprise AI Runs in Production? — an industry deep dive with its slide deck, published on Frontier Macro & Markets, 2026-09-22, covering SNOW, MDB, ORCL, NET, DDOG, DT.
Software Stack → Data & Infrastructure Software · figures rebased to Q1 FY2027, reported 2026-08-05
The platform subscription is 95.6% of revenue and effectively all of ARR, and it is one thing: observability of applications and infrastructure, with runtime application security and AIOps sold on the same commitment. Data & Infrastructure Software is the whole company rather than one leg of it — the service line is implementation work attached to the same platform.
Dynatrace ($554.5M Q1 FY2027, +16% YoY) — AI-powered observability platform. Subscription $530.3M (95.6%) + service $24.3M (4.4%); total ARR $2,136M (+17% reported and constant currency), dollar-based net retention 110%. Primary B5 Data & Infrastructure Software. NICHE: enterprise observability — APM, infrastructure and log monitoring plus runtime application security, with Davis AI and agentic automation on top. Competes Datadog, Cisco (Splunk/AppDynamics), IBM (Instana), Grafana, Elastic, New Relic; runs on and monitors AWS, Azure and Google Cloud.
Moat. Agent-deployed, contract-committed observability inside large enterprise estates: the OneAgent has to be installed across an estate before it is useful, which makes replacement a migration rather than a purchase, and the DPS model turns that into an annual platform commitment. Dollar-based net retention of 110% is the honest measure of it — sticky, but expanding more slowly than a land-and-expand story implies.
Bottleneck / pricing power. Dynatrace sets a platform rate card and the customer draws it down by usage, so pricing power is real but capped by the same consumption logic that governs the category. The base is Global-15000 IT estates rather than AI-native startups, which makes the revenue steadier than Datadog's and slower to compound: 110% net retention against 17% ARR growth says most of the growth now comes from new logos, not from the installed base.
Role in the AI stack. The observability and runtime-security layer for enterprise software estates.
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