Chile Artificial Intelligence (AI) Data Center Market Size and Share

Chile Artificial Intelligence (AI) Data Center Market (2025 - 2030)
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Chile Artificial Intelligence (AI) Data Center Market Analysis by Mordor Intelligence

The Chile artificial intelligence data center market size reached USD 0.25 billion in 2025 and is forecast to attain USD 0.57 billion by 2030, reflecting a 17.88% CAGR through the period. Continued hyperscaler capital inflows, the government’s USD 4 billion National Data Centers Plan, and Chile’s renewable-energy advantage are combining to accelerate project pipelines. Policy measures that reduce permitting times, combined with direct Asia-Pacific links via the Humboldt submarine cable, enhance Chile’s position as a low-latency hub for AI workloads. Investments in liquid-cooled halls, seismic-resilient designs, and 100% clean power procurement strengthen competitive moats, while headline risks around water availability and skilled labor shortages are prompting innovation in dry cooling and talent development programs. With cloud regions already live from Microsoft and Amazon, early-stage adopters are securing power and land, anticipating a second wave of demand as enterprises operationalize their generative AI roadmaps.

Key Report Takeaways

  • By data center type, cloud service providers led with 55.82% of Chile's artificial intelligence data center market share in 2024, whereas colocation facilities are projected to expand at a 19.51% CAGR through 2030.
  • By component, software accounted for 45.83% of the Chilean artificial intelligence data center market size in 2024, while hardware is forecast to grow at a 19.83% annual rate to 2030.
  • By tier standard, Tier IV facilities held 61.63% share of the Chile artificial intelligence data center market size in 2024, whereas Tier III builds are advancing at an 18.94% CAGR.
  • By end user, IT and ITES captured 33.82% of the Chile artificial intelligence data center market size in 2024, while internet and digital media workloads are scaling at a 20.35% CAGR.

Segment Analysis

By Data Center Type: Hyperscaler dominance with colocation surge

Cloud providers accounted for 55.82% of the 2024 revenues in the Chile artificial intelligence data center market, translating to USD 0.14 billion of the market size. Their presence standardizes next-generation design, such as 30 MW halls and on-site 100 kV substations. Hyperscalers’ appetite for multi-availability-zone redundancy pushes parcel aggregation near urban fiber rings, raising land valuations in Quilicura by double digits. Colocation operators respond by leasing ready-to-build plots and offering shell-and-core frameworks that align with hyperscaler specifications yet retain carrier neutrality.

Looking ahead, colocation’s 19.51% CAGR implies incremental USD 0.11 billion inflows by 2030, reflecting enterprises' adoption of hybrid models and the movement of AI training off-premises once data-governance concerns are addressed. Edge micro-DCs along mining corridors and coastal cable landings are emerging as a niche, aiming for sub-10 ms latency for computer vision analytics and autonomous equipment control.

Chile Artificial Intelligence (AI) Data Center Market: Market Share by Data Center Type
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By Component: Hardware acceleration phase

Software retained 45.83% in 2024, yet hardware spending now outpaces as GPU clusters, power gear, and liquid-cooling plants dominate capex. The Chile artificial intelligence data center market size for hardware is expected to increase from USD 0.09 billion in 2025 to USD 0.22 billion by 2030, representing a 19.83% CAGR. Power infrastructure commands the largest ticket, as evident in Data Hall Quilicura’s 97,500 kVA diesel array, which offers 38-hour autonomy. Cooling outlays intensify as operators transition to warm-water loops and rear-door heat exchangers capable of 100 kW per rack.

Software value migrates toward orchestration layers, integrating AI-optimized scheduling, energy-aware workload placement, and predictive maintenance analytics. Service revenues trail hardware but climb steadily through managed-AI platforms, remote hands, and compliance consulting that de-risk enterprise migration.

By Tier Standard: Balancing uptime and cost

Tier IV sites controlled 61.63% of 2024 billings, equal to USD 0.15 billion of the Chile artificial intelligence data center market size. Their 99.995% availability is indispensable for AI model training runs that cost millions in cloud credits. However, Tier III’s 18.94% CAGR reveals customer willingness to accept 1-hour annual downtime for lower rents, especially for development and test, and regional edge nodes. GTD’s 8 MW Tier III build, which is fully renewable, proves that Tier III can satisfy sustainability mandates while maintaining performance.

Certification paths are increasingly incorporating Tier III Gold Operational Sustainability, which combines lower redundancy with procedural rigor. Earthquake resilience remains non-negotiable, so both tiers invest in base isolation and active-mass-damping systems. As workloads diversify, a mixed-tier portfolio lets operators optimize capital while matching SLA tiers to application criticality.

Chile Artificial Intelligence (AI) Data Center Market: Market Share by Tier Standard
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By End-user Industry: Digital media outpaces traditional IT

IT and ITES held a 33.82% share in 2024, accounting for USD 0.08 billion of the Chilean artificial intelligence data center market size. They retain dominance due to cloud-native SaaS vendors scaling across Spanish-speaking markets. Yet, internet and digital-media workloads, including over-the-top video, social feeds, and ad-tech inference, will grow fastest at a 20.35% CAGR, doubling revenue by 2030.

Financial services uptake accelerates as regulators clarify cloud outsourcing frameworks. Healthcare pilots AI-assisted diagnostics that require encrypted, low-latency GPU fabric, driving the need for specialized colocation suites near teaching hospitals. Mining majors deploy edge pods for predictive maintenance, linking remote sites to Santiago cores over private 5G backbones funded by Entel’s USD 330 million modernization push.

Geography Analysis

Santiago controls well over half of the operational megawatts, supported by dense fiber, existing substations, and its metropolitan proximity to enterprises. Microsoft’s USD 317 million investment in the Quilicura zone underscores the pull of the capital’s infrastructure and talent pools. Yet water-stress events and peak-hour power tariffs introduce cost pressure, nudging developers toward peripheral industrial parks.

Quilicura’s clustering effect deepens as Equinix, Amazon, and Data Hall build co-locate, leveraging shared logistics and grid upgrades. Parcels exceed 54,000 m², and backup generation surpasses 97 MVA, illustrating the scale landlords now market to hyperscalers. Renewable-energy PPAs tied to dedicated feeders reduce Scope-2 emissions, a procurement prerequisite for global tech tenants.

Government policy encourages north-and-south diversification. Antofagasta and Atacama boast abundant solar PV capacity and subsea cable landings. WOM’s 7,500 km national fiber rollout under the FON program provides remote locations with dual-path connectivity, making edge deployment a viable option.[4]WOM, “Proyecto Fibra Óptica Nacional,” wom.cl Humboldt’s 2027 go-live will enable coastal data centers to function as Asia-Pacific latency gateways, distributing workloads beyond the Santiago basin.

Competitive Landscape

The top three cloud providers, along with two leading colocation firms, account for roughly 56% of billed revenue, indicating moderate concentration. Amazon’s USD 4 billion multi-region plan and Microsoft’s fully renewable campus set a capital threshold that deters smaller entrants. Equinix leverages its neutral-carrier status to capitalize on hyperscaler overflow, while Scala and Ascenty expedite fast-track environmental approvals to pre-lease shells. Local telcos Entel and ClaroVTR bundle fiber and hosting to defend enterprise accounts.

Strategic plays revolve around (1) green-energy hedges, (2) seismic-resilience branding, and (3) edge extensions into mining corridors. Liquid-cooling vendors partner with builders to embed rear-door and immersion systems at the shell stage, creating vendor-lock opportunities. Start-ups like NotCo and Suncast raise demand for AI as a service, spurring managed-platform offerings from incumbents. Horizontal consolidation remains possible as telcos divest DC real estate to fund 5G rollouts.

Chile Artificial Intelligence (AI) Data Center Industry Leaders

  1. Amazon Web Services Chile SpA

  2. Google Chile SpA

  3. Microsoft Chile S.A.

  4. Oracle Corporation Chile Ltd.

  5. Huawei Technologies Co., Ltd.

  6. *Disclaimer: Major Players sorted in no particular order
Chile Artificial Intelligence (AI) Data Center Market Concentration
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Recent Industry Developments

  • June 2025: Microsoft launched its Azure Chile region after investing USD 500 million, opening three availability zones in Santiago.
  • May 2025: Amazon Web Services has confirmed a USD 4 billion commitment for a Chile cloud region, marking its largest capital investment in Latin America.
  • May 2025: TECfusions and Baeza Group unveiled plans for a 100 MW campus in Puente Alto.
  • May 2025: Equinix secured environmental clearance for its USD 130 million ST5 build in Santiago.
  • April 2025: Equinix completed a USD 50 million ST2 expansion, adding 425 liquid-cooled cabinets.
  • April 2025: Chile inaugurated its first didactic data center at Inacap to develop AI operations talent.

Table of Contents for Chile Artificial Intelligence (AI) Data Center Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 PESTEL Analysis
  • 4.3 Market Drivers
    • 4.3.1 Growing AI-driven compute demand
    • 4.3.2 Expansion of cloud hyperscalers into Chile
    • 4.3.3 Government digital transformation incentives
    • 4.3.4 Abundant renewable energy potential in Patagonia
    • 4.3.5 Humboldt and other new submarine cables lowering latency
    • 4.3.6 Seismically resilient construction standards attracting investors
  • 4.4 Market Restraints
    • 4.4.1 High electricity prices in metropolitan zones
    • 4.4.2 Water scarcity challenges for liquid cooling
    • 4.4.3 Shortage of specialized AI and data-center workforce
    • 4.4.4 Elevated capex for earthquake-resistant facilities
  • 4.5 Impact on Sustainability and Carbon-Neutral Energy Goals
    • 4.5.1 Sustainable Power Source and Management
    • 4.5.1.1 Renewable vs Non-Renewable Sources of Power (Green DCs and AI Innovations)
    • 4.5.1.2 Carbon-Footprint Reduction (Heat Pumps, District Cooling and Heating, others)
    • 4.5.2 Sustainable Cooling Solutions and Management
    • 4.5.2.1 Efficient Cooling Solutions for AI-Optimized DCs
    • 4.5.2.2 PUE Ratio, WUE Ratio - Analysis
  • 4.6 Industry Ecosystem Analysis
  • 4.7 Regulatory or Technological Outlook
  • 4.8 Porter's Five Forces Analysis
    • 4.8.1 Threat of New Entrants
    • 4.8.2 Bargaining Power of Suppliers
    • 4.8.3 Bargaining Power of Buyers
    • 4.8.4 Threat of Substitutes
    • 4.8.5 Intensity of Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Data Center Type
    • 5.1.1 Cloud Service Providers
    • 5.1.2 Colocation Data Centers
    • 5.1.3 Enterprise / On-Premises / Edge
  • 5.2 By Component
    • 5.2.1 Hardware
    • 5.2.1.1 Power Infrastructure
    • 5.2.1.2 Cooling Infrastructure
    • 5.2.1.3 IT Equipment
    • 5.2.1.4 Racks and Other Hardware
    • 5.2.2 Software
    • 5.2.2.1 Technology
    • 5.2.2.2 Machine Learning
    • 5.2.2.3 Deep Learning
    • 5.2.2.4 Natural Language Processing
    • 5.2.2.5 Computer Vision
    • 5.2.3 Services
    • 5.2.3.1 Managed Services
    • 5.2.3.2 Professional Services
  • 5.3 By Tier Standard
    • 5.3.1 Tier III
    • 5.3.2 Tier IV
  • 5.4 By End-user Industry
    • 5.4.1 IT and ITES
    • 5.4.2 Internet and Digital Media
    • 5.4.3 Telecom Operators
    • 5.4.4 Banking, Financial Services and Insurance (BFSI)
    • 5.4.5 Healthcare and Life Sciences
    • 5.4.6 Manufacturing and Industrial IoT
    • 5.4.7 Government and Defense

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Amazon Web Services Chile SpA
    • 6.4.2 Google Chile SpA
    • 6.4.3 Microsoft Chile S.A.
    • 6.4.4 Oracle Corporation Chile Ltd.
    • 6.4.5 Huawei Technologies Co., Ltd.
    • 6.4.6 IBM Chile S.A.
    • 6.4.7 Equinix Inc.
    • 6.4.8 Ascenty Data Centers Chile SpA
    • 6.4.9 Digital Realty Trust Inc.
    • 6.4.10 EdgeConneX Inc.
    • 6.4.11 SONDA S.A.
    • 6.4.12 GTD Teleductos S.A.
    • 6.4.13 ClaroVTR Chile S.A.
    • 6.4.14 Entel S.A.
    • 6.4.15 Cirion Technologies Inc.
    • 6.4.16 ODATA Latin America S.A.
    • 6.4.17 Scala Data Centers S.A.
    • 6.4.18 Kio Networks S.A. de C.V.
    • 6.4.19 InterNexa Chile S.A.
    • 6.4.20 Telefónica Chile S.A.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
*List of vendors is dynamic and will be updated based on the customized study scope
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Chile Artificial Intelligence (AI) Data Center Market Report Scope

The research encompasses the full spectrum of AI applications in data centers, covering hyperscale, colocation, enterprise, and edge facilities. The analysis is segmented by component, distinguishing between hardware and software. Hardware considerations include power, cooling, networking, IT equipment, and more. Software technologies under scrutiny encompass machine learning, deep learning, natural language processing, and computer vision. The study also evaluates the geographical distribution of these applications.

Additionally, it assesses AI's influence on sustainability and carbon neutrality objectives. A comprehensive competitive landscape is presented, detailing market players engaged in AI-supportive infrastructure, encompassing both hardware and software utilized across various AI data center types. Market size is calculated in terms of revenue generated by products and solutions providers in the market, and forecasts are presented in USD Billion for each segment.

By Data Center Type
Cloud Service Providers
Colocation Data Centers
Enterprise / On-Premises / Edge
By Component
Hardware Power Infrastructure
Cooling Infrastructure
IT Equipment
Racks and Other Hardware
Software Technology
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Services Managed Services
Professional Services
By Tier Standard
Tier III
Tier IV
By End-user Industry
IT and ITES
Internet and Digital Media
Telecom Operators
Banking, Financial Services and Insurance (BFSI)
Healthcare and Life Sciences
Manufacturing and Industrial IoT
Government and Defense
By Data Center Type Cloud Service Providers
Colocation Data Centers
Enterprise / On-Premises / Edge
By Component Hardware Power Infrastructure
Cooling Infrastructure
IT Equipment
Racks and Other Hardware
Software Technology
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Services Managed Services
Professional Services
By Tier Standard Tier III
Tier IV
By End-user Industry IT and ITES
Internet and Digital Media
Telecom Operators
Banking, Financial Services and Insurance (BFSI)
Healthcare and Life Sciences
Manufacturing and Industrial IoT
Government and Defense
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Key Questions Answered in the Report

What is the current value of the Chile AI data center sector?

The Chile artificial intelligence data center market size stands at USD 0.25 billion in 2025.

How fast is the sector growing?

The market is forecast to grow at a 17.88% CAGR, reaching USD 0.57 billion by 2030.

Which data center type leads spending?

Cloud service providers hold 55.82% of 2024 revenue.

What segment is expanding the quickest?

Colocation facilities show the fastest trajectory, at a 19.51% CAGR to 2030.

How important is renewable energy to future builds?

Renewables are critical, with flagship campuses such as Microsoft Quilicura sourcing 100% clean power from AES Andes contracts.

What regional advantages does Chile offer for AI workloads?

Direct Asia-Pacific submarine cable links via the Humboldt system will lower latency and enhance Chile’s role as a trans-Pacific digital hub.

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