Philippines AI Machine Learning Market Size and Forecast by Offering, Hardware, Solution, Service, Application, Deployment Model, Organization Size, and End User Industry: 2019-2033

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Industry Assessment Overview

Industry Findings: The Philippines has moved from strategic scoping to an active national programme that binds public procurement, skilling and inclusive access to compute; the National AI Strategy Roadmap 2.0 (NAISR 2.0) launched Jul-2024 formalises public-sector priorities and signals that government RFPs will increasingly require demonstrable governance, skilling and residency planning — a shift making compliant, capacity-backed commercial offers far more competitive.

Industry Progression: Government science and technology programmes are operationalising the national strategy and creating funding/tender windows that translate into procurement opportunities: the Department of Science and Technology’s follow-on initiatives and programmatic work (May-2025) are expanding research partnerships, pilot funding and compute access for academic and public projects, lowering the barrier to run validated ML workloads and accelerating the move of PoCs into production for public services and research.

Industry Player Insights: In-market infrastructure and operator developments are changing the vendor landscape: PLDT’s VITRO Sta. Rosa hyperscale facility (announced/operational details reported Apr-2025) — described as an AI-first, GPU-enabled hyperscale site offering GPUaaS — and renewed strategic partnerships between telcos and hyperscalers (e.g., Globe–AWS partnership activity in 2024–2025) provide Philippine enterprises with local GPU capacity and partner channels, reducing latency and residency friction and enabling more enterprises to run production ML workloads domestically.