Bernstein raised DDOG's target price but lowered the rating; the core contradiction is strong long-term AI narrative versus crowded short-term growth and valuation expectations.

Overview

This is a rating revision report on Datadog Inc. Bernstein believes Datadog's product vision and execution in observability, AI for Datadog, Datadog for AI, and cybersecurity remain strong, and therefore raised the revenue model and target price. However, the report also notes that investor expectations of peak 30% to 40%+ growth and above 30% growth next year are too aggressive, while Q4 could see roughly a 500 bps drop in the growth rate, so the rating was tactically downgraded to Market-Perform.

Core views

The core view is that long-term fundamentals are better, while short-term risk/reward has worsened. Positives include stronger Born-in-AI customer growth, AI Lab client contribution, product portfolio expansion, long-term cloud workload migration, and cybersecurity potentially becoming a new revenue pillar. Negatives include flattening ex-AI demand signals, slower incremental data center capacity additions at hyperscalers, possible OpenAI ARR migration to Chronosphere and ClickHouse, Q4 high base effect, overly elevated market expectations for growth slope, and a P/Sales multiple that is notably high relative to Cloud SaaS mean reversion bands.

Analysis framework

The report models Datadog revenue by splitting it into Born-in-AI and ex-AI components separately. The Born-in-AI segment incorporates ARR, website engagement, pricing changes, and usage signals from OpenAI, Anthropic, and other AI Lab customers; the ex-AI segment incorporates AWS-related cloud workloads, AWS SSO web metrics, channel checks, and data center capacity changes. On valuation, it uses a 50/50 blend of DCF and P/Sales comparable multiples and references the Rule-of-40 regression relationship for Cloud SaaS companies.

Methodology notes

• Valuation methodsDCF and P/Sales 50/50 Valuation

  The target price is derived by averaging discounted cash flow and revenue-multiple valuation.

  The $226 target price is based on a 50% weight each to DCF and P/Sales; DCF assumes 11% WACC and 3% terminal growth, while P/Sales uses roughly 16x next 5-8Q revenue multiple, up from roughly 14x before.

• Revenue modelingBorn-in-AI and ex-AI split model

  Predict AI-native customer revenue and non-AI customer revenue separately.

  Born-in-AI is about 15% of Q2 revenue and primarily tracks ARR from OpenAI, Anthropic, and other AI Lab customers; ex-AI is about 85% of Q2 revenue and mainly tracks cloud workloads, AWS-related signals, and enterprise demand.

• Alternative dataWeb metrics and channel checks

  Use website traffic, engagement, and channel feedback as leading signals for upcoming quarter revenue.

  The report believes Q2 revenue growth was already reflected in Q1 web metrics, while Q2 web metrics are more relevant for Q3; those metrics have been flattening since early May, and channel checks also support a near-term demand-deceleration call.

• SaaS relative valuationRule-of-40 Cloud SaaS regression

  Use Cloud SaaS growth and quality of earnings relationship to justify a P/Sales multiple.

  The report believes Datadog's current P/Sales multiple is clearly above its core regression line, implying investor expectations for revenue growth are above the analyst model.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• DDOG.US

  Covered name; Datadog Inc, a U.S.-listed software company

  Strengths

  Rising contribution from AI-native customers, and product portfolio expansion from observability into security, AI-assisted workflows, and broader operating scenarios; long-term cloud workload migration still supports revenue growth.

  Weaknesses

  Current valuation is high and short-term growth expectations are full; ex-AI demand signals are flattening, and partial OpenAI ARR migration plus Q4 high base could cause growth deceleration.

  Comparison

  Compared with the Cloud SaaS peer regression line, Datadog's current P/Sales multiple is clearly elevated, implying stronger implied revenue growth expectations than in the report model.

  Risks

  Rising competition, operating leverage below expectations, earnings disappointments, cloud workload slowdown, AI Lab growth plateauing, and multiple compression.

• AWS / Cloud workloads

  Key leading reference and demand driver for Datadog's ex-AI revenue

  Strengths

  Cloud migration and enterprise workload migration to cloud continue to support Datadog's core revenue over the long term.

  Weaknesses

  The report observes that AWS SSO web metrics have flattened since early May and additions of active data center capacity appear to have slowed in 2026.

  Comparison

  The report tracks Datadog's ex-Born-in-AI revenue growth relative to the growth of AWS ex-AI revenue; this ratio has trended down but stabilized over the last five quarters.

  Risks

  If cloud workload recovery is slower than modeled, ex-AI revenue could come in below forecast from Q4 onward.

• OpenAI / Anthropic and other AI Lab customers

  Key customers and signal source for Datadog's Born-in-AI revenue

  Strengths

  AI Lab revenue and usage growth can materially lift Datadog participation, with Anthropic Q2 growth signals particularly strong.

  Weaknesses

  OpenAI may migrate part of its workloads to Chronosphere and logs to ClickHouse; AI Lab growth may also enter a digestion phase after high growth.

  Comparison

  The report argues AI Lab revenue growth cannot be mapped to Datadog on a 1:1 basis because pricing, discounting, and client scale effects influence Datadog-recoverable revenue.

  Risks

  AI customer usage slowing, pricing declines, workload migration, budget digestion periods, or AI model launches below expectations.

Key data

• Rating changeMarket-Perform; previously OutperformThe report explicitly states the rating was lowered from Outperform to Market-Perform.
• Target price226.00 USD; previously 180.00 USDThe target price was increased, but remains below the reported close price.
• Close260.36 USDThe close date is 2026-07-02.
• Implied upside/downside-13%Based on the close of 260.36 USD and target of 226.00 USD.
• Expected Q4 revenue growthabout 29% YoYThe report says Q4 may see about a 500 bps drop in growth rate, below some investors' expectations for peak 30% to 40%+ growth.
• ex-AI share of revenueabout 85% of Q2 revenueThe report believes demand signals in this segment are flattening, which could cause ex-AI growth to peak in Q3 and fall by 100-200 bps in Q4.
• Born-in-AI share of revenueabout 15% of Q2 revenueThe report raised expectations for this segment, especially from Q4 onward.
• OpenAI-related ARR assumptionabout 170MM USD ARR rationalization; remaining about 40MM USD ARRThe report expects partial migration of OpenAI workloads, while remaining platform ARR should continue to grow with company scale.
• OpenAI residual base growth assumption65% this year, then 45% in +1 year, and 36% in +2 yearsThe report estimates the underlying demand growth Datadog can participate in based on pricing, advertising, and demand flattening.
• Anthropic-related growth assumptionQ2 QoQ 125-150%+; about 65% in 2027; about 45-50% in 2028The report expects growth to slow in the second half after Q2's high growth.
• 2026E revenue4,543MM USDThe financial summary table shows F26E Revenues.
• 2027E revenue5,654MM USDThe financial summary table shows F27E Revenues, corresponding to an F25A-F27E revenue CAGR of 28.4%.
• Valuation assumptions16x P/Sales; 11% WACC; 3% terminal growthUsed for the 226 USD target price.

Impact & implications

For investors, the report does not reject Datadog's long-term AI and cloud software platform thesis; rather, it argues that at the current price, the one-year risk/reward has become balanced to somewhat unfavorable. If post-Q3 growth enters a short-term air pocket as in the model, the market may trim overly optimistic growth expectations; if ex-AI demand rebounds quickly, Born-in-AI continues to exceed expectations, or new product pillars generate stronger revenue contribution than expected, this current downgrade could prove too conservative.

Risks

• The current valuation already reflects high growth expectations; if growth decelerates, the stock may come under pressure.
• Ex-AI demand signals have flattened since early May, and Q4 may face meaningful deceleration due to a high comparison base.
• Partial OpenAI ARR may migrate to Chronosphere and ClickHouse, affecting the pace of Born-in-AI revenue.
• AI Lab customer growth may move into a plateau after a period of high growth.
• Slower incremental data center capacity expansion from hyperscalers may limit new workload onboarding.
• Increased competition, operating leverage below expectations, or execution missteps could lead to downside risk.
• Web metrics and channel checks, as alternative data, may break down or misread conditions.

What to watch

• Whether Q2 web metrics validate Q3 revenue and whether web metrics recover from the flattening pattern after July.
• Q3 channel checks and cloud workload onboarding pace, especially whether constraints from capacity and security hardening are easing.
• Whether Q4 revenue growth declines to about 29% YoY as forecast, or remains in the high 30% to 40%+ range.
• The actual scale of OpenAI ARR migration, and whether remaining Datadog platform revenue continues to grow with OpenAI scale.
• The usage, revenue growth, and pricing contribution split for Anthropic and other AI Lab customers in Q3/Q4.
• Whether new Datadog products such as Bits AI, security, CPU/GPU monitoring, and infinite cardinality deliver incremental growth above the AWS signal baseline.
• Whether Cloud SaaS valuation regression, Rule-of-40 performance, and DDOG's P/Sales premium versus peers converge.