2024-10-13-PitchBook-PitchBook年二季度数据分析报告（英）_12页_7mb

Data Analytics Market VC Trends Q2 2024

• Deal Statistics:

  • VC Activity:
    • Total deals: 375, deal value growth -22.1% YoQ, total raised $9.1B.
    • H1 2024: 813 deals, total raised $20.7B, 47.6% YoY deal value growth.
  • Sector Focus: Rebound in data analytics infrastructure, AI-driven deals (e.g., Scale AI acquisition), but vertical applications lag.

• Key Deals:

  • Cohesity: Closed $150M Series F, aims for IPO.
  • Rubrik: Listed at $5.6B, focuses on data security posture management.
  • Databricks: Acquired Tabular for $1B, advancing data table format compatibility (Apache Iceberg/Delta Lake).
  • Scale AI: $1B Series F at $13.8B, led by Accel and tech giants.

• Market Exit Trends:

  • Disclosed exit value $16.3B in Q2, rebounding from $12.4B CY23.
  • Infrastructure-focused exits outpace platforms and analytics.

Data Analytics Landscape & VC Activity

• Investment Distribution:

  • Infrastructure leads funding rebound, AI core category surges (GenAI mega-deals).
  • Database management faces $20.2M YoY decline in VC funding.
  • Data quality tools (Anomalo) and unstructured data analytics remain strong.

• Market Dynamics:

  • Strategic pressure on software vendors to innovate against tech giants.
  • Demand for low-code AI tools and data interoperability solutions.

Databricks Highlights

• Overview:

  • Global leader, focuses on GenAI developer tools and data intelligence.
  • Acquired Tabular ($1B) for Lakehouse format compatibility.

• Technological Developments:

  • Enhanced Mosaic AI platform for custom LLMs, AI-assisted evaluation, and governance.
  • Competing with Snowflake in streaming data and in-memory analytics (Delta UniForm).

• Financials & Outlook:

  • Near $2.4B revenue with ~60% YoY growth.
  • Positioned to surpass Snowflake by targeting high-value industries.

Market Trends Summary

• VC Trends: Rebound driven by data infrastructure/center investments, with AI as a key accelerator.
• Themes:
  • Growth in GenAI integration into enterprise data platforms.
  • Security & governance in data ecosystems emphasize robust frameworks.
  • M&A activity consolidates innovation (e.g., Cohesity, Rubrik, Databricks).