Argentina AI Processor Chip Market Size and Forecast by Hardware Architecture, Power Envelope, Memory Integration Type, Node Type, and End User: 2019-2033

  Dec 2025   | Format: PDF DataSheet |   Pages: 110+ | Type: Niche Industry Report |    Authors: Sumeet KP (Senior Manager)  

 

Argentina AI Processor Chip Market Outlook

  • In 2024, the sector in Argentina was valued at USD 473.6 million.
  • As per our predictions, the Argentina AI Processor Chip Market will reach USD 7.20 Billion by 2033, yielding a CAGR of 34.2% through the forecast interval.
  • DataCube Research Report (Nov 2025): This analysis uses 2024 as the actual year, 2025 as the estimated year, and calculates CAGR for the 2025-2033 period.

Industry Assessment Overview

Industry Findings: National ambition to host sovereign compute and attract large private capital is recalibrating procurement: buyers increasingly demand partners that can provide long-term energy contracts, tax-incentive aware tenancy and in-country certification pathways, because these factors materially reduce operating and political risk for data-intensive projects (Oct-2025). The result: procurement leans to vendors that can secure local energy and regulatory alignment.

Industry Progression: A headline LOI is signalling a step-change. OpenAI’s Letter of Intent with Sur Energy to explore a large-scale Argentina data-centre (branded internally as “Stargate Argentina”)—a potential multi-billion project sized to support advanced AI compute—creates a concrete pathway for attracting both hyperscaler tenancy and industrial energy investments. That single development positions Argentina as a prospective regional node for large training clusters and shifts procurement discussions from theoretical to executable.

Industry Player Insights: Few market entities in Argentina include OpenAI, Sur Energy, MercadoLibre, and Globant etc. Argentine buyers and policy makers are prioritising partners who can deliver energy-anchored, incentive-aware compute offers. Example — the OpenAI–Sur Energy LOI (Oct-2025) and MercadoLibre’s regional infrastructure investments (2024–2025) demonstrate how private energy and platform capital can combine to produce locally-hosted accelerator tenancy; impact — shorter procurement cycles for large public and private AI initiatives.

*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]

Market Scope Framework

Hardware Architecture

  • GPU Accelerators
  • Domain-Specific AI ASIC/NPU/TPU
  • FPGA Accelerators
  • Hybrid/Heterogeneous Processors
  • DPU/Dataflow Processors

Power Envelope

  • Ultra-Low Power (Sub-5W)
  • Low Power (5–50W)
  • Mid Power (50–300W)
  • High Power (300–700W)

Memory Integration Type

  • On-Package HBM
  • On-Chip SRAM
  • External DRAM Interface

Node Type

  • Leading Edge (<7nm)
  • Performance Node (7–12nm)
  • Mature Node (>12nm)

End User

  • Hyperscalers & Cloud Providers
  • Enterprise Datacenters
  • OEMs / ODMs / System Integrators
  • Consumer Electronics Manufacturers
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