PitchBook-2025年一季度AI_ML公共报表和估值指南（英）-2025_9页_605kb

Summary of PitchBook Q1 2025 AI & ML Public Comp Sheet and Valuation Guide

Key Findings from Research

PitchBook's Q1 2025 report highlights the AI and machine learning market despite global economic concerns. Hyperscalers like Amazon, Google, and Microsoft are expected to maintain strong AI investments as part of a recession-mitigation strategy, showing promise that outweighs short-term challenges. Overall, AI is progressing with continued capital flow into major players such as OpenAI and Anthropic, driven by their technological leadership and backing from tech giants.

In a economic downturn, venture capital will likely favor AI companies with proven revenue, strong product leadership, and top-tier founders (e.g., Mira Murati, Elon Musk, Ilya Skuwatever), despite a potential slowdown in early-stage funding. This makes fundraising harder for pre-seed and seed AI startups, particularly in severe recessions, where established firms can subsidize AI services with core business cash flows.

Market Performance and Valuations

Stock returns show mixed trends, with hyperscalers like Amazon and Microsoft experiencing moderate declines, while some AI-focused companies demonstrate volatility. Valuations indicate high multiples for blue-chip AI firms, with EV/LTM revenue and EV/EBITDA ranging from single-digit to over 100x, reflecting optimism in the sector. Revenue and EBITDA data highlight growth in AI conglomerates and pure-plays, but also signs of challenges in early-stage companies and specific sub-sectors.

Risks and Considerations

• Geographical and Supply Chain Risks: Increased tariffs on Chinese and Eastern suppliers could strain datacenter component costs, affecting AI companies' profitability. Monitoring low-cost models like DeepSeek may provide cost advantages.
• Early-Stage Challenges: Fundraising is expected to tighten, disproportionately impacting pre-seed and seed rounds, with severe recessions exacerbating capital scarcity.

Data and Methodology

The comp sheet and valuation guide are based on PitchBook and Morningstar data, covering over 55,000 public companies and proprietary private company data, providing forward-looking estimates for subscribers. This report aids in comparing company performance across AI sub-sectors like AI core, generative AI, autonomous machines, and semiconductors.

Sources: PitchBook and Morningstar • As of March 31, 2025.