Argentina AI Marchine 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: Institutional transparency and data-protection programmes have made governance, auditability and explainability a procurement precondition for larger public and private projects. The AAIP’s Resolution 161/2023 and follow-up transparency programmes (Sep-2023) established obligations and guidance for public-sector AI use that raise the bar on vendor deliverables, giving a competitive edge to suppliers who provide integrated model-cards, audit trails and documented human-in-the-loop controls in every bid.

Industry Progression: National and corporate collaborations are moving fast from policy into high-impact industry deployments: recent large-scale enterprise projects and vendor partnerships — exemplified by YPF and Globant’s Digital Suppl.AI launch (Oct-2025) — demonstrate how Argentina’s private sector is adopting agentic and automation tooling in production operations. These developments force vendors to pair domain expertise with compliance-first architectures and create clear demand for audited, industrial-grade ML stacks in energy, logistics and finance.

Industry Player Insights: Argentina’s supplier map mixes local deep-tech service houses and global integrators with strong commercialisation playbooks: companies such as Globant (Buenos Aires HQ operations and large enterprise projects), Mercado Libre’s AI-driven fintech/logistics productisation (2024–2025), and local system integrators now sell production-ready ML applications. Recent in-country vendor activity (Globant-YPF Oct-2025 project; Mercado Libre product rollouts through 2024–2025) shows how Argentine vendors are converting R&D and pilots into domestic, compliance-aware solutions for major national customers.