UBS has begun coverage of Dynatrace, assigning a Buy rating and a $60 price target, arguing that improving demand for observability software combined with early-stage artificial intelligence-related spending could lead to a re-rating of the stock.
The brokerage said it reached this conclusion after speaking with more than 10 customers, partners and industry experts. Those conversations, UBS reported, revealed a solid demand backdrop in several areas: steady need for application performance monitoring, increasing adoption of log-management tools and initial AI-related tailwinds that could lift spending on observability platforms.
Based on its checks, UBS projects Dynatrace's annual recurring revenue - ARR - growth to move higher over the coming years, forecasting 16% in fiscal 2027, 17% in fiscal 2028 and 18% in fiscal 2029. UBS contrasted those figures with consensus Wall Street estimates that anticipate a deceleration to 16%, 14% and 13% across the same periods.
UBS highlighted several themes from its conversations. Enterprise IT teams, the bank said, are allocating more budget to observability as their environments grow more complex. Partners reported that their observability practices have been growing in the 18% to 21% range in recent quarters and expect demand to remain stable or improve through year-end. The firm also noted that observability software appears to be gaining priority inside corporate IT budgets.
On the subject of artificial intelligence, UBS described the present impact on Dynatrace revenue as modest. Most enterprises are still in the early stages of scaling AI applications, the broker said, limiting near-term effects. Nonetheless, UBS estimates that AI-related demand could lift Dynatrace spending by 10% to 20% over the next two to three years, which would translate to roughly three to five percentage points added to growth. UBS further stated that most of that incremental benefit is likely to come from fiscal 2028 onward.
Customers interviewed by UBS pointed to growing need for monitoring of large language models, AI agents and the more complex software environments produced by AI-driven coding tools. UBS said Dynatrace's Davis AI platform - which automates root-cause analysis and anomaly detection - was frequently cited by those customers as a competitive advantage.
UBS also addressed the concern that advances in generative AI could make traditional observability platforms obsolete. Its checks with customers and partners found little evidence that enterprises are preparing to replace Dynatrace. The brokerage cited the company's deep integrations with enterprise infrastructure, deterministic root-cause capabilities and high switching costs as sources of a meaningful moat.
From a valuation standpoint, UBS argued that Dynatrace does not fully price in the potential for accelerating growth or future AI-driven demand. The firm noted that the stock currently trades at a discount to peers despite comparable mid-teens growth prospects.
In sum, UBS's initiation frames Dynatrace as a beneficiary of continued IT complexity and the gradual commercialization of AI workloads, while customer and partner feedback supports the view that its product set, including Davis AI, is well positioned to capture those opportunities. The near-term AI impact remains limited, but UBS expects that to change over time and contribute meaningfully to growth from fiscal 2028 onward.