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

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

 

Chile AI Machine Learning Market Outlook

  • In 2024, the Chile market accounted for USD 111.9 million.
  • As per our research findings, the Chile AI Machine Learning Market to exceed USD 1.70 billion by 2033, with an estimated CAGR of 34.4% during the forecast period.
  • 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: Strategic infrastructure policy plus renewable energy advantages are positioning Chile as an attractive, low-latency location for training and inference capacity — changing where regional ML workloads are hosted. Chile’s National Data Centres Plan (launched Dec-2024) aims to attract sizeable data-centre investment and to build specialized AI training infrastructure, which reframes procurement toward vendors that can offer residency, green-power sourcing and validated campus integration.

Industry Progression: Major cloud providers are translating the plan into on-the-ground projects: Amazon Web Services announced a commitment to build a Chile region and invest over US$4 billion (May-2025), and subsequent public announcements around the Humboldt trans-Pacific cable joint venture (Jun-2025) improve international connectivity. These capacity and connectivity moves reduce latency for APAC–Americas workflows and expand the pool of production-grade hosting options for regional ML deployments.

Industry Player Insights: The supplier environment is moving to monetise campus and connectivity advantages: AWS’s Chile region commitment (May-2025), Amazon’s multi-year investment plan and other hyperscaler interests plus local colocation growth create immediate partner pathways for systems integrators and data-centre operators. Vendors that bundle green-power-backed compute, low-latency connectivity (Humboldt cable) and residency-aware MLOps will be best positioned to win clients in Chilean mining, astronomy, finance and cross-Pacific research partnerships.

*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

Offering

  • Hardware
  • Solution
  • Service

Hardware

  • GPUs
  • TPUs
  • ASICs
  • Edge Inference Devices

Solution

  • Consumption-based Hosted Models & MLaaS (Model APIs, LLMaaS)
  • ML Platforms & MLOps
  • Automated Machine Learning (AutoML & AutoOps)
  • Pre-built Vertical ML Applications
  • ML Governance, Security & Monitoring Tooling

Service

  • Model Customization & Fine-tuning Services
  • Data & Labeling Services
  • Professional Services & SI

Application

  • NLP & Conversational AI
  • Computer Vision
  • Forecasting & Time Series
  • Recommendations & Personalization
  • Control & Robotics

Deployment Model

  • On-premise
  • Cloud-based
  • Hybrid

Organization Size

  • Large Enterprise
  • Mid Enterprise
  • Small Enterprise

End User Industry

  • IT and Telecom
  • Media and Entertainment
  • Energy and Power
  • Transportation and Logistics
  • Healthcare
  • BFSI
  • Retail
  • Manufacturing
  • Public Sector
  • Other
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