Datadog: AI-Driven Growth and Differentiated Observability Support Buy Rating and $175 Target

Guggenheim analyst Howard Ma upgraded the rating on Datadog to a Buy yesterday, setting a price target of $175.00.

Howard Ma has given his Buy rating due to a combination of factors, including Datadog’s strong positioning to benefit from AI-driven data growth and rising IT complexity, supported by a differentiated backend designed for massive, real-time observability workloads. He highlights Datadog’s broad product adoption across infrastructure, logs, and APM, its leadership in emerging agent-based observability with Bits AI, and a technology stack that should resist commoditization pressures from OTel and large language models.

He also points to improving fundamentals and revised forecasts, expecting revenue to grow about 27% in 2026 with expanding operating margins and accelerating contributions from AI-native customers such as Anthropic even as OpenAI gradually scales back. Combined with recent strength in new ARR and additional upside levers from AI observability and sales productivity, his discounted cash flow work supports a $175 price target, implying substantial multiple expansion from current valuation levels.

According to TipRanks, Ma is a 2-star analyst with an average return of 0.3% and a 43.90% success rate. Ma covers the Technology sector, focusing on stocks such as CommVault Systems, Elastic, and Dynatrace.

In another report released today, TipRanks – PerPlexity also upgraded the stock to a Buy with a $129.00 price target.