Reference
·Supporting source
AI/ML adoption among Thai SET-100
~55-65% piloting; ~20-25% in production
Approximately 55-65% of Thai SET-100 listed companies report active AI/ML pilots in 2024 per the National Innovation Agency (NIA) and DEPA enterprise digital-maturity surveys, with roughly 20-25% reporting at least one AI/ML use case in production at scale (customer-service automation, fraud detection, demand forecasting, generative-AI content). Banking, telco, retail, and hospital groups lead adoption; agriculture-and-food and traditional manufacturers lag. The gap to leading-economy benchmarks (where ~40-50% of large enterprises have production AI deployments) suggests material runway for enterprise-AI SaaS vendors over the 2025-2027 cycle.
Figure in context
Approximately 55-65% of Thai SET-100 listed companies report active AI/ML pilots in 2024 per the National Innovation Agency (NIA) and DEPA enterprise digital-maturity surveys, with roughly 20-25% reporting at least one AI/ML use case in production at scale (customer-service automation, fraud detection, demand forecasting, generative-AI content). Banking, telco, retail, and hospital groups lead adoption; agriculture-and-food and traditional manufacturers lag. The gap to leading-economy benchmarks (where ~40-50% of large enterprises have production AI deployments) suggests material runway for enterprise-AI SaaS vendors over the 2025-2027 cycle.
Approximately 55-65% of Thai SET-100 listed companies report active AI/ML pilots in 2024 per the National Innovation Agency (NIA) and DEPA enterprise digital-maturity surveys, with roughly 20-25% reporting at least one AI/ML use case in production at scale (customer-service automation, fraud detection, demand forecasting, generative-AI content). Banking, telco, retail, and hospital groups lead adoption; agriculture-and-food and traditional manufacturers lag. The gap to leading-economy benchmarks (where ~40-50% of large enterprises have production AI deployments) suggests material runway for enterprise-AI SaaS vendors over the 2025-2027 cycle.
Time scope
2024
Source basis
Supporting source
Interpretation notes
What this tells you
Approximately 55-65% of Thai SET-100 listed companies report active AI/ML pilots in 2024 per the National Innovation Agency (NIA) and DEPA enterprise digital-maturity surveys, with roughly 20-25% reporting at least one AI/ML use case in production at scale (customer-service automation, fraud detection, demand forecasting, generative-AI content). Banking, telco, retail, and hospital groups lead adoption; agriculture-and-food and traditional manufacturers lag. The gap to leading-economy benchmarks (where ~40-50% of large enterprises have production AI deployments) suggests material runway for enterprise-AI SaaS vendors over the 2025-2027 cycle.
What not to do with it
Use the linked report for interpretation and keep basis differences explicit.
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Thailand public-cloud end-user spend split (2024)
Gartner Worldwide Public Cloud Forecast, DigiTech ASEAN Thailand, IDC Asia-Pacific cloud tracker
Hyperscaler Thailand cloud-and-AI investment commitments
AWS Thailand region announcement, Microsoft Thailand investment release, Google Cloud Thailand region launch, Light Reading data-center coverage
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FlowAccount LinkedIn and corporate site, Beacon VC portfolio disclosure, PEAK Account corporate site
DEPA Thai digital industry total value (2024)
Digital Economy Promotion Agency, The Story Thailand
Thai SaaS gross margin benchmarks
SET listed-software issuer filings, DEPA Software Industry Survey, Beacon VC / Krungsri Finnovate portfolio benchmarks
Report context
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