Reference

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Supporting source

Thailand AI drug discovery activity mix (2027 estimate)

Discovery ~28%, clinical-trial AI ~22%

As of2027 estimate·Sources1·Supporting·Historical series (6 points)

The 2027 Thai AI drug discovery and pharma biotech AI-tooling pool splits across six activities per SCB EIC pharma outlook and operator interviews. AI-led target discovery (oncology, NCD, infectious disease) anchors the largest slice at roughly 28%, followed by clinical-trial AI cohort stratification at 22%, drug repurposing at 18%, AI-tooling vendor licensing (Insilico Pharma.AI, Atomwise AtomNet, Iktos Makya, Exscientia Centaur Chemist) at 14%, AI-CRO and digital-bioservices outsourcing at 12%, and long-tail genomic-data licensing services at roughly 6%. The clinical-trial AI slice grows fastest because foreign-pharma sponsor flow (AstraZeneca, Roche, Pfizer, Novartis, Eli Lilly) ramps faster than upstream discovery cycles can compound.

Figure in context

The 2027 Thai AI drug discovery and pharma biotech AI-tooling pool splits across six activities per SCB EIC pharma outlook and operator interviews. AI-led target discovery (oncology, NCD, infectious disease) anchors the largest slice at roughly 28%, followed by clinical-trial AI cohort stratification at 22%, drug repurposing at 18%, AI-tooling vendor licensing (Insilico Pharma.AI, Atomwise AtomNet, Iktos Makya, Exscientia Centaur Chemist) at 14%, AI-CRO and digital-bioservices outsourcing at 12%, and long-tail genomic-data licensing services at roughly 6%. The clinical-trial AI slice grows fastest because foreign-pharma sponsor flow (AstraZeneca, Roche, Pfizer, Novartis, Eli Lilly) ramps faster than upstream discovery cycles can compound.

Interpretation notes

What this tells you

The 2027 Thai AI drug discovery and pharma biotech AI-tooling pool splits across six activities per SCB EIC pharma outlook and operator interviews. AI-led target discovery (oncology, NCD, infectious disease) anchors the largest slice at roughly 28%, followed by clinical-trial AI cohort stratification at 22%, drug repurposing at 18%, AI-tooling vendor licensing (Insilico Pharma.AI, Atomwise AtomNet, Iktos Makya, Exscientia Centaur Chemist) at 14%, AI-CRO and digital-bioservices outsourcing at 12%, and long-tail genomic-data licensing services at roughly 6%. The clinical-trial AI slice grows fastest because foreign-pharma sponsor flow (AstraZeneca, Roche, Pfizer, Novartis, Eli Lilly) ramps faster than upstream discovery cycles can compound.

What not to do with it

Share of total Thai AI drug discovery and pharma biotech AI-tooling pool at 2027 (THB 14-24B mid-case). Excludes downstream local manufacturing revenue at GPO and Siam Bioscience for AI-discovered compounds.

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Thailand AI drug discovery activity mix (2027 estimate) · Insight