9.2.5.2Vertical

Data Science Platforms & Notebooks

Platforms providing collaborative data science development environments.

Market snapshot

These figures describe Data Science & Advanced Analytics (9.2.5), the segment that Data Science Platforms & Notebooks sits within — not Data Science Platforms & Notebooks on its own.

FragmentationConsolidatingEstimate

Data science and advanced analytics platforms span software and data-processing classifications (NAICS 513210/518210) and are not separately disclosed by the Census Bureau, so the segment is not separately sized here.

Business model & economics

Revenue model

Platform SaaS and consumption (compute/storage)

Key economics

Recurring revenue
High

recurring platform and consumption revenue

EBITDA margin
Strong

scaled platform economics

Capex intensity
Low

Characteristics

  • Analytics platforms, notebooks, and the lakehouse.
  • Convergence of warehousing and data science.
  • Databricks and Snowflake the marquee growth stories.

M&A deal context

Deal activityHigh

Who’s acquiring

  • Data-platform majors (Databricks, Snowflake)
  • Hyperscalers & analytics strategics
  • VC and growth investors

What’s driving deals

  • Lakehouse and unified data/AI platforms.
  • Advanced-analytics and AI-integration demand.
  • Platform consolidation.

Find Data Science Platforms & Notebooks acquisition targets

Search Acquisera’s index for companies classified under Data Science Platforms & Notebooks (9.2.5.2) and build a targeted deal pipeline.

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