Indonesia Data Center Processor Market Size and Share

Indonesia Data Center Processor Market (2025 - 2030)
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Indonesia Data Center Processor Market Analysis by Mordor Intelligence

The Indonesia data center processors market size stands at USD 4.88 billion in 2025 and is forecast to reach USD 18.53 billion by 2030, reflecting a strong 30.59% CAGR. Capacity build-outs by hyperscalers, enforcement of domestic data-storage rules, and rising AI workloads together underpin this momentum. Ongoing subsea-cable landings and edge-friendly regulations strengthen regional connectivity, while falling colocation tariffs accelerate adoption among small and mid-sized enterprises. Competition is shifting from capacity expansion toward differentiation in power efficiency, sovereign-cloud compliance, and AI-ready rack densities. 

Key Report Takeaways

  • By processor type, CPUs led with 35.1% Indonesia data center processors market share in 2024, whereas AI Accelerators/ASICs are projected to expand at a 30.6% CAGR through 2030. 
  • By application, AI/ML training and inference accounted for 33.2% of the Indonesia data center processors market size in 2024; advanced data analytics is forecast to grow at 31.1% CAGR to 2030. 
  • By architecture, x86 processors held 46.3% share of the Indonesia data center processors market size in 2024, while the RISC-V segment shows the fastest 31.7% CAGR. 
  • By data-center type, cloud service providers/hyperscalers commanded 41.7% Indonesia data center processors market share in 2024; colocation facilities are advancing at a 32.1% CAGR through 2030.

Segment Analysis

By Processor Type: AI Accelerators Drive Next-Generation Workloads

CPUs held 35.1% Indonesian data center processors market share in 2024 due to their versatility across general-purpose workloads. Intel Xeon chips underpin e-commerce giants such as Tokopedia, ensuring a stable core market. AI Accelerators/ASICs, however, are on a 30.6% CAGR trajectory that will reshape the processor mix through 2030. Their ascent is fuelled by demand for large-scale AI inference, with Lintasarta’s GPU Merdeka bringing sovereign GPU-as-a-Service to local firms. FPGA uptake is rising within fintech and telecom applications that require deterministic low-latency processing. AMD’s EPYC-powered ALELEON supercomputer further diversifies the performance landscape by providing public high-performance computing access. 

As hyperscalers upgrade to support transformer-based models, the Indonesia data center processors market continues to migrate toward heterogeneous architectures. CPUs still dominate legacy and transactional loads, yet the growing volume of AI inference calls accelerates ASIC adoption. Indications of this shift include rack-density blueprints aimed at 30 kW per cabinet and above. FPGA demand, while smaller, is expected to outpace legacy architectures in financial-trading and mission-critical telco networks.

Indonesia Data Center Processor Market
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By Application: Advanced Analytics Accelerates Digital Transformation

AI/ML training and inference retained a 33.2% share of the Indonesian data center processors market size in 2024 as enterprises raced to operationalize vision and language models. Bank Mandiri’s data platform, which prevents USD 1 billion in fraud losses, underscores AI’s enterprise value. Advanced analytics shows the swiftest 31.1% CAGR because CIOs now integrate real-time data streams into decision support. High-performance computing (HPC) moves from university labs to commercial-scale CFD and genome-sequencing tasks, aided by ALELEON’s public access terms. 

Security & encryption spending climbs steadily in response to the Personal Data Protection Law and a surge in ransomware incidents. Network functions virtualisation also gains ground: operators like Indosat Ooredoo Hutchison deploy local language models to optimise 5G edge traffic. These application trends collectively sustain incremental processor-unit demand, reinforcing the expansion of the Indonesia data center processors market through 2030.

By Architecture: RISC-V Emerges as Open Alternative

x86 chips controlled 46.3% Indonesian data center processors market size in 2024, reflecting their entrenched software ecosystem. ARM architectures are gaining importance for edge workloads, given energy-efficiency advantages. Meanwhile, open-source RISC-V enjoys a 31.7% CAGR as Indonesia pursues technology sovereignty, encouraged by the USD 45.74 billion silica-downstreaming roadmap. Government interests in customising processors for local language AI accelerate RISC-V trials across academic labs and emerging-tech startups. 

Power architecture sustains a niche in ultra-reliable financial and governmental compute clusters. Collectively, the architectural mix showcases an Indonesian data center processors market progressing toward heterogeneity: x86 remains indispensable for mainstream cloud, ARM addresses edge-compute niches, and RISC-V aligns with long-term sovereign design goals

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By Data Center Type: Colocation Expansion Drives Infrastructure Growth

Cloud service providers and hyperscalers captured 41.7% Indonesia data center processors market share in 2024 on the back of sustained CAPEX from Microsoft, Tencent, Amazon, and Google. Colocation operators, however, post the fastest 32.1% CAGR as mid-market enterprises adopt pay-as-you-grow models to avoid upfront capital outlay. NeutraDC’s 51 MW Batam site typifies strategic edge expansions that benefit from subsea-cable landings. 

Enterprise data centers persist for workloads constrained by compliance boundaries, mainly in banking and government. Meanwhile, renewable-powered campuses such as BDx’s 500 MW site respond to ESG-driven procurement criteria. This diversity ensures that the Indonesia data center processors market serves both hyperscale and distributed edge needs, reinforcing processor-demand resilience across varying facility classes.

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Geography Analysis

Greater Jakarta remains the gravitational centre of the Indonesia data center processors market, hosting 35 operational projects and multiple hyperscale builds. The region’s mature power grid, fiber density, and proximity to 30 million metropolitan users protect its status as first-choice landing zone for global cloud regions. Real-estate scarcity and rising land valuations, however, prompt operators to explore secondary clusters such as Bekasi and Cikarang, where EdgeConneX and STT GDC are scaling multi-megawatt campuses. 

Batam’s strategic location and submarine-cable intersections elevate the island into a national gateway hub. Projects like Nongsa Digital Park’s 221 MW campus and the forthcoming Nongsa–Changi cable enable latency-sensitive cross-border traffic between Indonesia and Singapore. Eastern regions gain momentum after the Palapa Ring completion and the Bifrost Cable System landing in Manado. These links underpin edge-data-center deployments aimed at content-delivery networks and cloud gaming, contributing fresh volumes to the Indonesian data center processors market. 

Sumatra and Kalimantan represent long-horizon prospects, combining lower land prices with abundant geothermal reserves that appeal to ESG investors. Government plans to situate one national data center in the new capital Nusantara reinforce eastern diversification. Attention now turns to grid-reliability upgrades that can support tier-IV builds. By distributing future builds beyond Java, Indonesia mitigates seismic and power-capacity risks, while enlarging the total addressable footprint for processor suppliers

Competitive Landscape

Indonesian telecommunications incumbents such as Telkom Indonesia (NeutraDC) and Indosat Ooredoo Hutchison are intensifying investment in sovereign cloud and GPU curtains to defend share against foreign entrants. International majors—Digital Realty, EdgeConneX, STT GDC—leverage joint ventures to access licenses and land banks swiftly, injecting global best practices into build-outs. Colocation pricing has fallen from USD 400 to USD 300–320 per kVA, illustrating competitive pressure as capacity outstrips current demand in Jakarta’s core zones. 

Strategic differentiation now centres on AI-ready design, sustainability credentials, and cross-border interconnect richness. PT DCI Indonesia’s solar-powered campus and BDx’s 500 MW renewable facility showcase early-mover advantage in green power. Lintasarta’s GPU Merdeka positions itself as the sovereign AI on-ramp, while NeutraDC’s Batam build synchronises with subsea-route growth. 

Indonesia Data Center Processor Industry Leaders

  1. Intel Corporation

  2. NVIDIA Corporation

  3. Ampere Computing LLC

  4. Advanced Micro Devices, Inc. (AMD)

  5. IBM Corporation

  6. *Disclaimer: Major Players sorted in no particular order
Indonesia Data Center Processor Market Concentration
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Recent Industry Developments

  • February 2025: Indosat Ooredoo Hutchison and GoTo Group launched Sahabat-AI local-language models on IOH’s GPU Merdeka cloud.
  • February 2025: Telin finished the Bifrost Cable System landing station in Jakarta, adding 10.4 Tbit/s trans-Pacific capacity.
  • January 2025: OJK Regulation 27/2024 shifted digital-asset supervision to the Financial Services Authority, refining DLT platform rules.
  • December 2024: EdgeConneX secured 45,000 sqm in Bekasi to scale its Jakarta campus beyond 200 MW IT load.

Table of Contents for Indonesia Data Center Processor 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 Market Drivers
    • 4.2.1 Robust hyperscaler CAPEX pipeline
    • 4.2.2 Government AI and Digital Economy programmes
    • 4.2.3 Demand for GPU-dense cloud instances
    • 4.2.4 Data-localisation regulations
    • 4.2.5 New subsea cable landings boosting east-Indonesia colos
    • 4.2.6 Carbon-credit backed green-core processors attracting ESG funds
  • 4.3 Market Restraints
    • 4.3.1 Shortage of advanced-node semiconductor talent
    • 4.3.2 High utility tariffs vs. neighbouring hubs
    • 4.3.3 Grid instability outside Java delaying tier-IV builds
    • 4.3.4 Seismic risk elevating TCO for processor racks
  • 4.4 Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter;s Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Consumers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Assesment of Macroeconomic Factors on the Market

5. MARKET SIZE and GROWTH FORECASTS (VALUE)

  • 5.1 By Processor Type
    • 5.1.1 GPU
    • 5.1.2 CPU
    • 5.1.3 FPGA
    • 5.1.4 AI Accelerator/ASIC
  • 5.2 By Application
    • 5.2.1 Advanced Data Analytics
    • 5.2.2 AI/ML Training and Inference
    • 5.2.3 High-Performance Computing
    • 5.2.4 Security and Encryption
    • 5.2.5 Network Functions Virtualisation
    • 5.2.6 Others
  • 5.3 By Architecture
    • 5.3.1 x86
    • 5.3.2 ARM-based
    • 5.3.3 RISC-V
    • 5.3.4 Power
  • 5.4 By Data Center Type
    • 5.4.1 Enterprise
    • 5.4.2 Colocation
    • 5.4.3 Cloud Service Providers / Hyperscalers

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 Intel Corporation
    • 6.4.2 NVIDIA Corporation
    • 6.4.3 Advanced Micro Devices, Inc. (AMD)
    • 6.4.4 Ampere Computing LLC
    • 6.4.5 Marvell Technology, Inc.
    • 6.4.6 Qualcomm Incorporated
    • 6.4.7 IBM Corporation
    • 6.4.8 PT Aplikanusa Lintasarta
    • 6.4.9 Indonesian Cloud
    • 6.4.10 Alibaba Cloud Indonesia
    • 6.4.11 Google Cloud Indonesia
    • 6.4.12 Amazon Web Services Indonesia
    • 6.4.13 Microsoft Azure Indonesia
    • 6.4.14 Huawei Technologies Indonesia
    • 6.4.15 Infineon Technologies AG
    • 6.4.16 Texas Instruments Incorporated
    • 6.4.17 Xilinx (AMD adaptive compute)
    • 6.4.18 Baidu Kunlun
    • 6.4.19 Graphcore
    • 6.4.20 Cerebras Systems

7. MARKET OPPORTUNITIES and FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Our study frames the Indonesia data-center-processor market as the yearly value of new CPUs, GPUs, FPGAs, and AI-specific accelerators shipped into enterprise, colocation, cloud, and hyperscale facilities. According to Mordor Intelligence, processors delivered pre-installed in servers and those added during upgrade cycles are counted, provided the hardware lands in Indonesia and enters productive service.

Scope exclusion: memory ICs, discrete NICs without on-die compute, refurbished units, and OEM service contracts lie outside this boundary.

Segmentation Overview

  • By Processor Type
    • GPU
    • CPU
    • FPGA
    • AI Accelerator/ASIC
  • By Application
    • Advanced Data Analytics
    • AI/ML Training and Inference
    • High-Performance Computing
    • Security and Encryption
    • Network Functions Virtualisation
    • Others
  • By Architecture
    • x86
    • ARM-based
    • RISC-V
    • Power
  • By Data Center Type
    • Enterprise
    • Colocation
    • Cloud Service Providers / Hyperscalers

Detailed Research Methodology and Data Validation

Primary Research

Analysts interviewed chip-vendor sales leads, Jakarta server integrators, procurement heads at hyperscalers, and independent thermal consultants. The conversations clarified average selling prices, accelerator attach rates, and rack power envelopes, tightening model assumptions and validating secondary cues.

Desk Research

Our team first retrieved Indonesian HS-code import logs, Statistics Indonesia capital-goods tables, and Bank Indonesia ICT expenditure series. Industry signals were blended with releases from the Indonesia Data Center Provider Organization, IEEE Xplore papers on GPU-dense racks, and corporate 10-K filings. Paid content from D&B Hoovers and Dow Jones Factiva enriched company-level splits. These sources are illustrative; many other public and proprietary portals supported data capture and cross-checks.

Second, trend markers such as hyperscaler CAPEX announcements, liquid-cooling adoptions, and local AI policy documents were mapped to segment breakouts from WSTS semiconductor billings and customs flow dashboards.

Market-Sizing & Forecasting

A top-down reconstruction starts with declared processor import values, which are then adjusted for channel mark-ups to arrive at domestic spend. Select bottom-up approximations, server shipment tallies, sampled ASP x core counts, and GPU attach factors stress-test the totals before finetuning. Inputs include hyperscaler build pipelines, AI workload penetration, cores-per-server progression, tariff shifts, and liquid-cooling uptake. A multivariate regression links processor demand to cloud-service revenue, 5G data traffic, and government AI budgets to project till 2030. Data gaps are bridged with quarterly import trend interpolation that is reconciled to public CAPEX disclosures.

Data Validation & Update Cycle

Outputs undergo variance checks against semiconductor shipment dashboards and macro indicators, followed by senior review. Reports refresh annually, with interim updates triggered by sizable policy or supply-chain shifts, so clients always receive the freshest view.

Why Mordor's Indonesia Data Center Processor Market Analysis Baseline Commands Reliability

Published market values often differ because firms apply varying scopes, currencies, and refresh cadences. Scope choice, inclusion of accelerator cards, and ASP progression methods are the chief gap drivers. Mordor counts only compute silicon revenue at landed cost plus narrow integration margins and revisits variables every twelve months, whereas many peers extrapolate global ratios or headline CAPEX figures.

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 4.88 B (2025) Mordor Intelligence -
USD 2.80 B (2024) Regional Consultancy A Bundles facility construction and wider IT hardware yet omits GPU attach growth
USD 0.20 B (2025) Global Consultancy B Tracks rack-server shipments only; excludes discrete GPUs and ASIC cards
USD 5.80 M (2023) Industry Association C Limits scope to locally assembled CPUs; ignores imports and accelerator categories

This comparison shows that Mordor's disciplined scoping, frequent refresh, and dual validation steps produce a balanced, transparent baseline that decision-makers can trace and replicate with confidence.

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Key Questions Answered in the Report

What is the current value of the Indonesia data center processors market?

The market is valued at USD 4.88 billion in 2025.

How fast is the Indonesia data center processors market expected to grow?

It is projected to expand at a 30.59% CAGR, reaching USD 18.53 billion by 2030.

Which processor segment is growing the quickest?

AI Accelerators/ASICs show the fastest growth at a 30.6% CAGR.

5. What regulations influence processor demand in Indonesia?

Government Regulation 71/2021 mandates local data storage, compelling cloud providers to build domestic capacity.

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