They’re also buying up therapeutics from AI drug discovery players.
For example, Takeda spent $4B on Nimbus Therapeutics’ plaque psoriasis treatment in 2023.
What’s driving activity?
Bringing a drug to market costs an average of $1.3B.
AI has the potential to dramatically accelerate drug discovery and reduce costs across 4 primary applications:
- Target identification: Using AI to pinpoint disease-related targets, often proteins
- Drug repurposing: Finding new uses for existing drugs (work smarter, not harder)
- Drug-target interactions: Predicting which compounds will work best
- Generative chemistry: Suggesting entirely new compounds
Inside the AI drug discovery arms race is the first report for CB Insights customers in a 3-part series on how AI is reshaping discovery, pre-clinical, and clinical research in drug R&D. Interested in access? Reach out to us here.
M&A activity jumps
AI drug discovery M&A is surging: 8 of the 10 largest deals in the sector have happened since 2023.
This is driven by a maturing technology landscape and urgency among larger players to bring AI tech in-house.