2024-04-29-PitchBook-人工智能与机器学习概述（英）_10页_13mb

AI & Machine Learning Industry Overview Summary (2024)

This report provides an annual overview of the AI and Machine Learning (AI & ML) industry, published on April 18, 2024. Key aspects include VC activity, market structure, subsegments, and industry drivers.

VC Activity and Investment Trends

• Global VC investment in Q4 2023 reached $22.3 billion, with consistent levels since the downturn began in Q3 2022. This includes an outlier deal of $2.0 billion for Anthropic.
• Median pre-money valuations remain above market midpoints, while equity sold has decreased, creating founder-friendly conditions.
• Horizontal platforms set a 2023 VC record with $33.0 billion raised, driven by basic innovation in AI automation.
• GenAI deals, despite high excitement, show lower deal counts than pre-downturn levels, with $6.0 billion raised in 194 deals in Q4.
• Tech giants reduced M&A focus, opting for partnerships with AI startups; notable acquisitions include NVIDIA's pending deal for Run:ai and others.

AI & ML Market Structure

• The industry is divided into subsegments:
  • Horizontal platforms: Apply AI/ML directly to commercial applications, e.g., AI automation platforms and predictive analytics.
  • Vertical applications: AI tailored to specific industries, such as consumer AI and ad targeting.
  • AI & ML semiconductors: Hardware like intelligent sensors, with companies focusing on efficient AI hardware.
  • Autonomous machines: Robotics and intelligent devices.

Key Industry Drivers

• Foundation model training costs are decreasing (e.g., from $100 million for GPT-4 to under $10 million for open-source models).
• AI adoption is rising, with 65.2% of developers now using AI in their work, up from 26% five years ago.

Exit and IPO Activity

• Q4 2023 saw moderate VC exits, with a record low disclosed value of $2.7 billion, indicating lower activity post-megadeals.
• Successful listings for companies like Astera Labs may encourage more IPOs, though the 2024 pipeline features limited AI companies due to their ability to stay private.

The full report, available on the PitchBook Platform, offers more detailed quarterly insights.