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UBS Maintains Buy Rating on Datadog, Target Price $195

Institution
UBS
Date
20260504
Authors
Dean Marriott, Karl Keirstead
Company
Datadog, PROSHARES ULTRA SEMICONDUCTORS, Palo Alto Networks, ServiceNow, Snowflake, Dynatrace, Palantir, MongoDB, Compass, Elastic, Reddit, Datadog Inc
Ticker
DDOG, USD, PANW, NOW, SNOW, DT, PLTR, MDB, COMP, ESTC, RDDT
Industry
Software - Application, Software - Infrastructure, Internet Content & Information, AI, SaaS, AR, Information Technology Services, fintech
Rating
Buy
BullishHigh confidenceReiterateMedium-termMaintaining a buy rating and a $195 price target, believing core demand is solid and AI disruption risk is low.
AuthorsDean Marriott, Karl Keirstead
Target price$195
CoverageUnited States
Research firm divisions/subsidiariesUBS Securities LLC(Subsidiary/Legal Entity)

AI summary card

UBS Maintains Buy Rating on Datadog, Target Price $195

Core enterprise demand is solid, AI disruption risk is low, valuation is relatively reasonable—maintaining a buy rating.

Buy | Target Price $195
Cloud ComputingObservabilityAI BenefitsEnterprise SoftwareEarnings Outlook
  • Maintaining a buy rating and unchanged target price of $195.
  • Core enterprise customer spending intentions remain solid, expected to increase by 8-15%.
  • Low AI disruption risk; customers view it as a moderate AI beneficiary.
  • Valuation at 11x 2026E revenue, reasonable compared to high-growth peers.
  • Expected Q1 2026 revenue growth of 31%, exceeding company guidance.

Report interpretation

Overview

UBS released its report ahead of Datadog’s Q1 2026 earnings release. Based on surveys of four enterprise customers, the report finds that core demand is solid and AI disruption risk is low, maintaining a buy rating and a $195 price target. Despite the relatively high valuation, the stock remains attractive given its high growth and AI benefits logic.

Core views

On the core enterprise demand side, surveys show Datadog’s spending in 2026 is expected to grow by 8-15% or remain stable, consistent with cloud spending growth. Customers have no plans to switch to competitors (such as Dynatrace, Elastic, etc.) mainly because of Datadog’s platform comprehensiveness and high switching costs. Regarding AI impact, customers classify Datadog as a ‘moderate AI beneficiary.’ The risk from self-built observability products like those from OpenAI is low; customers are reluctant to build or DIY monitoring solutions due to high real-time and performance requirements. Datadog’s revenue from AI-native customers (such as OpenAI, Anthropic) already accounts for 12.5%, making it an important growth driver. In terms of valuation and performance, the 2026E revenue multiple is 11.0x, and the free cash flow multiple is 39x. Compared to other high-growth AI beneficiaries (such as Palantir), it’s discounted and relatively reasonable. Expected Q1 2026 revenue is $988 million (+31% y/y), exceeding company guidance. Full-year 2026 revenue growth is projected at 27%, with an operating margin of 24%.

Analysis framework

The firm validated demand trends through customer surveys (four enterprise customers accounting for 88% of ARR), directly asking about spending plans and AI impacts. It compared valuations with peers (Snowflake, MongoDB, etc.) to assess relative attractiveness. Analyzed the share of AI-native customer revenue and the relationship with OpenAI to gauge AI disruption risk and benefit levels.

Methodology notes

  • Valuation Method

    EV/FCF Valuation

    The report uses the enterprise value/free cash flow multiple to evaluate the stock price, suitable for high-growth tech companies that are unprofitable or have volatile profits, better reflecting their cash flow generation capacity.

  • Industry/Supply-Demand FrameworkSupply-demand framework

    Supply-Demand Framework

    By surveying downstream customer spending intentions (demand side), the report judges industry sentiment and validates the sustainability of the company’s revenue growth.

  • Competition and Strategy FrameworkMoat / competitive advantage

    Moat/Competitive Advantage

    Analyzing product comprehensiveness, switching costs, and real-time performance requirements to assess the company’s ability to resist competitors and self-built solutions.

Asset mapping & comparison

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

  • Datadog (DDOG.US)
    Beneficiary, solid core enterprise demand, AI benefits
    Strengths
    High platform comprehensiveness, high switching costs, fast growth of AI-native customers
    Weaknesses
    Relatively high valuation, high dependence on OpenAI
    Comparison
    Outperforms peers such as Snowflake and MongoDB
    Risks
    Slow recovery of observability spending, intensifying competition
  • OpenAI/Anthropic
    Customer/Partner, growing revenue contribution
    Strengths
    High-growth AI-native customers
    Risks
    Risk of self-built observability products (low but present)

Key data

  • 2026E Revenue Multiple11.0xValuation Benchmark
  • 2026E FCF Multiple39xValuation Benchmark
  • Target Price$195Based on 43x CY27E FCF
  • Q1 2026 Expected Revenue$988 millionExpected to exceed guidance
  • Q1 2026 Expected Growth Rate31%YoY
  • AI-Native Revenue Share (Q4 2025)12.5%Revenue Mix

Impact & implications

The report believes Datadog has shown resilience amid software sector adjustments, with a positive AI narrative. Solid core enterprise demand supports performance, and low AI disruption risk alleviates market concerns. If Q1 2026 earnings confirm accelerated growth, the stock price could rise further.

Risks

  • Slow recovery of observability spending compared to cloud spending
  • Intensifying competition leading to pricing pressure

What to watch

  • Q1 2026 Earnings Release
  • OpenAI Revenue Trajectory
  • Whether Full-Year Guidance Will Be Raised
Zhejiang ICP No. 2022035445-5
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