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Data

AI and machine learning led monthly startup funding with $39.59 billion

AI Infrastructure followed with $36.04 billion, while Enterprise Software and Fintech secured $11.46 billion and $10.78 billion respectively.

OSH Desk2 min read

AI & Machine Learning companies brought in $39.59B across 152 disclosed rounds over the past 30 days, outpacing all other sectors in venture investment [1].

AI Infrastructure followed in total capital raised, securing $36.04B across 49 disclosed funding events [1]. Together, the two AI categories accounted for the largest allocations of disclosed venture capital recorded during the monthly period.

Disclosed funding by sector in the last 30 days

| Sector | Disclosed capital | Round count |
| --- | --- | --- |
| AI & Machine Learning | $39.59B | 152 |
| AI Infrastructure | $36.04B | 49 |
| Enterprise Software | $11.46B | 83 |
| Fintech | $10.78B | 40 |
| Hardware & Semiconductors | $3.78 billion | 50 |
| Healthtech | $1.56 billion | 33 |

What stands out

Capital concentration in foundational systems remains pronounced. AI Infrastructure gathered $36.04B across only 49 transactions, averaging substantially higher capital per deal than broader application areas [1]. In contrast, AI & Machine Learning encompassed 152 deals to accumulate its $39.59B aggregate [1].

Enterprise Software companies completed 83 transactions totaling $11.46B, while Fintech businesses drew $10.78B across 40 rounds [1]. Further down the table, Hardware & Semiconductors captured $3.78B across 50 deals, and Healthtech generated $1.56B across 33 rounds [1].

What this means for founders

For enterprise and infrastructure founders, late-stage and growth checks remain heavily weighted toward compute, data pipelines, and core model backbones. Businesses operating outside direct compute and foundational AI tooling face a tighter environment where deal volumes remain distributed across smaller funding increments.

What this means for investors

Capital deployment continues to pool in capital-intensive infrastructure rounds, driving aggregate sector totals. Investors backing application-layer enterprise software and fintech are writing smaller checks across larger pools of companies, creating divergence in average round size across sectors.

How we measured

Rankings rely on OSH registry data tracking public announcements and regulatory disclosures completed over the past 30 days [1]. Round totals reflect only announced deals with verified financial terms [1][2]. Startups tagged across multiple categories count toward totals in each relevant sector [1].

What the data does not show

This index captures publicly disclosed transactions and omits unannounced rounds or deals with private terms [1]. Early-stage categories with fewer than 30 disclosed rounds are excluded from current sector rankings until larger transaction volumes are recorded [1].

Questions and answers

Which startup sector raised the most funding in the past 30 days?

AI & Machine Learning led all sectors, raising $39.59B across 152 disclosed rounds.

How much capital went into AI Infrastructure?

AI Infrastructure companies raised $36.04B across 49 disclosed deals over the 30-day period.

Are undisclosed rounds included in the totals?

No, the dataset only calculates announced venture financings with disclosed financial figures.

TopicsOSH Index

Sources

  1. 1.OSH Rounds data — OSH Rounds, Oct 24, 2026
  2. 2.OSH methodology — Off Sand Hill, Oct 24, 2026

Researched and drafted with AI tools under OSH editorial rules. Every fact links to its source. Editorial policy · Suggest a correction