Saudi Arabia Data Center Processor Market Size and Share

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Saudi Arabia Data Center Processor Market Analysis by Mordor Intelligence

The Saudi Arabia data center processor market size reached USD 0.99 billion in 2025 and is forecast to climb to USD 5.48 billion by 2030, translating into a powerful 33.01% CAGR. Processor demand in the Kingdom is expanding from traditional enterprise workloads toward AI training, real-time inference and hyperscale computing as Vision 2030 turns the country into a regional digital infrastructure hub. Surging capital commitments exceeding USD 21 billion from hyperscale operators, combined with government cloud-first mandates, keep the procurement curve steep. Large single-order deals—such as HUMAIN’s purchase of 18,000 NVIDIA Blackwell GB300 GPUs for its planned 500 MW AI campus—demonstrate how specialized silicon now dominates new build-outs. CPUs continued to contribute the bulk of revenue at a 53.2% 2024 share, yet AI accelerators are advancing at a 36.4% CAGR as operators seek domain-specific throughput. Competition is intensifying: cloud service providers already account for 46.3% of 2024 revenue and are scaling at a 36.8% CAGR on the back of sovereign data localization plus massive AI cluster roll-outs.

Key Report Takeaways

  • By processor type, CPUs retained 53.2% of the Saudi Arabia data center processor market share in 2024, but AI accelerators show the fastest rise at a 36.4% CAGR through 2030.
  • By application, AI/ML training and inference captured 31.8% share of the Saudi Arabia data center processor market size in 2024, while advanced data analytics is projected to expand at a 35.8% CAGR to 2030.
  • By architecture, x86 accounted for 81.2% revenue in 2024, whereas non-x86 designs are forecast to grow at 37.5% CAGR in the same period.
  • By data center type, cloud providers led with 46.3% revenue share of the Saudi Arabia data center processor market in 2024 and are advancing at a 36.8% CAGR through 2030. 

Segment Analysis

By Processor Type: AI Accelerators Drive Next-Generation Workloads

CPUs retained 53.2% revenue share in 2024 as they remain central to orchestration, virtualization and general compute. However, AI accelerators are racing ahead with a 36.4% CAGR, reflecting the country’s preference for dedicated matrix engines. The Saudi Arabia data center processor market size for AI accelerators is projected to expand from a mid-three-digit-million baseline in 2025 alongside sovereign model build-outs. GPUs bridge graphics and training needs, while FPGAs cover telecom and edge workloads that prize deterministic latency.

Heterogeneous racks are becoming the norm. Groq’s language processing unit posts 25-fold faster inference versus legacy GPU servers, signalling how domain-specific chips can reset performance curves. Intel’s Gaudi 3 shows 50% better inference throughput and 40% energy savings compared to NVIDIA H100, sharpening competition. Architectural choices increasingly hinge on Arabic NLP efficiency, not just peak FLOPS, changing purchasing criteria across the Saudi Arabia data center processor market.

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By Application: Advanced Analytics Reshape Infrastructure Requirements

AI/ML workloads commanded 31.8% of 2024 revenue and continue to shape data-center design, followed by high-growth advanced analytics at 35.8% CAGR through 2030. The Saudi Arabia data center processor market share for advanced analytics will climb as ministries and enterprises ingest streaming data for real-time insights. HPC, security and network functions persist but now demand specialized cryptographic and programmable cores.

Processor metrics are shifting from GHz and core counts to tensors-per-second and memory bandwidth. Managing 8,700 national datasets calls for silicon optimized for rapid ETL and mixed-workload concurrency. CCSEZ’s cyber focus boosts demand for chips with integrated crypto accelerators. Hybrid applications that blend inference with database calls pressure vendors to supply balanced CPU-GPU packages.

By Architecture: Non-x86 Gains Momentum Through Specialized Workloads

x86 maintained 81.2% share in 2024 by virtue of its mature software ecosystem. Yet non-x86 designs are advancing at 37.5% CAGR as ARM and AI-centric architectures promise higher performance-per-watt. A fast-growing slice of the Saudi Arabia data center processor market size will flow to ARM Neoverse platforms that offer better density for cloud-native services. Power11 remains in niche enterprise roles, while early RISC-V pilots test open-source viability.

AmpereOne’s 256-core CPU delivers 2.5 times the power efficiency of classic x86, suiting inference nodes where energy caps are strict. ALAT’s ambitions at sub-7 nm could let local players pair advanced lithography with novel core designs. Architecture choice is now workload-first, infrastructure-second across the Saudi Arabia data center processor market.

Saudi Arabia Data Center Processor Market: Market Share by Architecture
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By Data Center Type: Cloud Providers Lead Infrastructure Modernization

Cloud operators held 46.3% revenue in 2024 and are growing at 36.8% CAGR, thanks to attractive economics from shared resource pools. Their aggressive refresh cadence means that freshest silicon often debuts in the cloud before appearing on enterprise price lists. The Saudi Arabia data center processor market share for enterprise facilities is slipping even though absolute spending still climbs; many organizations adopt hybrid topologies to balance latency, sovereignty and cost.

Microsoft’s trio of Saudi facilities will open by 2026, bringing multi-zone redundancy and new demand for top-bin CPUs and GPUs microsoft.com. Colocation specialists lure tenants with pre-cabled liquid loops and accelerator-dense racks, eliminating upfront capex hurdles. Edge-tier micro-data centers near industrial sites are another frontier, requiring low-power CPUs combined with AI inference engines for sub-10 ms response.

Geography Analysis

Riyadh and Jeddah currently anchor most capacity thanks to fiber density and proximity to major customers. Combined, the two hubs host well over half of all installed processors inside the Saudi Arabia data center processor market. The Kingdom’s geographic position allows sub-25 ms reach to one-third of the global population, making it a preferential latency node for regional AI services. NEOM is emerging as the flagship next-generation zone, with a planned 1.5 GW, net-zero, AI-centric campus engineered for renewable energy. Such green targets elevate demand for energy-frugal processors and rack-scale liquid cooling.

Economic zones like CCSEZ offer subsidized utilities that tilt TCO math toward processor-intensive deployments. Dammam and the Eastern Province extend reach into industrial digitization projects, fueling purchases of processors suited for industrial IoT workloads that integrate OT and IT stacks. Sovereignty rules sometimes mandate that sensitive government workloads stay within certain metro areas, guiding hardware placement.

Vision 2030 calls for distributed compute beyond major cities; new smart-city projects are budgeting edge clusters that need low-power, high-reliability silicon. Inland sites wrestle with limited water rights, leading investors to favor coastal or renewable-powered locales for GPU-dense builds. Renewable energy corridors support carbon-aware service-level agreements, positioning energy-efficient architectures as a competitive lever throughout the Saudi Arabia data center processor market.

Competitive Landscape

Market concentration is moderate but shifting. Intel and AMD still supply the bulk of CPU sockets, yet NVIDIA, Groq, Cerebras and emerging ARM providers capture outsized mindshare for AI compute. Vendors differentiate on domain-specific acceleration, package-on-package memory and total system cost rather than clock speed alone. Broadcom’s 3.5D chiplet packaging for AI accelerators underscores the industry’s race to compress more compute per watt and per rack unit.

The Saudi Arabia data center processor market is now an arena for strategic partnerships. HUMAIN aligned with NVIDIA for Blackwell GPUs, while DataVolt inked a USD 20 billion supply deal with Supermicro to secure liquid-cooled racks. Local chip design programs supported by the National Semiconductor Hub aim to attract 50 fabless firms, focusing on Arabic AI IP blocks and energy-efficient edge chipsets. Disruptors such as Groq show 18-fold inference speed-ups, proving that specialized architectures can leapfrog incumbents.

MandA activity around AI silicon start-ups is expected to accelerate as global suppliers seek regional footholds. Cloud providers negotiate directly with chip vendors for customized SKUs. With export-control risk still present, alternative suppliers from Europe and Asia are being evaluated. These dynamics collectively reshape vendor stakes inside the Saudi Arabia data center processor market.

Saudi Arabia Data Center Processor Industry Leaders

  1. Advanced Micro Devices Inc.

  2. NVIDIA Corporation

  3. Broadcom Inc.

  4. Intel Corporation

  5. Huawei Technologies Co., Ltd.

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

  • January 2025: Broadcom delivered industry-leading 200G/lane DSP for next-generation AI infrastructure, enabling 800G and 1.6T optics.
  • February 2025: NEOM and DataVolt agreed to develop a USD 5 billion AI factory with 1.5 GW capacity, operational by 2028
  • February 2025: HPE introduced eight ProLiant Compute Gen12 servers built around Intel Xeon 6, citing 65% energy savings
  • March 2025: Marvell displayed 2 nm custom AI IP on TSMC 2 nm nodes
  • March 2025: Cerebras and Qualcomm showcased a 10× price-performance leap for inference on AI 100 Ultra processors.
  • April 2025: AMD launched EPYC 4004 for SMBs with 16 Zen 4 cores and 65 W TDP

Table of Contents for Saudi Arabia Data Center Processor Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions & 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 Vision 2030 Cloud-First Policy accelerating digital infrastructure spend
    • 4.2.2 Hyperscale and colocation build-outs from AWS, Microsoft & stc
    • 4.2.3 AI factories ordering >200k GPUs spur processor demand
    • 4.2.4 Subsidised power & tax incentives inside CCSEZ
    • 4.2.5 Draft Global AI Hub Law enables “data embassies”
    • 4.2.6 Local fab initiative (ALAT) to secure advanced nodes <7 nm
  • 4.3 Market Restraints
    • 4.3.1 High power & cooling OPEX for 300-W+ TDP chips
    • 4.3.2 US export controls on high-end GPUs/HBM stacks
    • 4.3.3 Shortage of advanced-node design & operations talent
    • 4.3.4 Water scarcity tightening liquid-cooling permits
  • 4.4 Value-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 Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Assessment of  Macro Economic Trends on the Market

5. MARKET SEGMENTATION

  • 5.1 By Processor Type
    • 5.1.1 GPU
    • 5.1.2 CPU
    • 5.1.3 FPGA
    • 5.1.4 AI Accelerator
  • 5.2 By Application
    • 5.2.1 Advanced Data Analytics
    • 5.2.2 AI/ML Training and Inferences
    • 5.2.3 High Performance Computing
    • 5.2.4 Security and Encryption
    • 5.2.5 Network Functions
    • 5.2.6 Others
  • 5.3 By Architecture
    • 5.3.1 x86
    • 5.3.2 Non-x86 (ARM, Power and other processors)
  • 5.4 By Data Center Type
    • 5.4.1 Enterprise
    • 5.4.2 Colocation
    • 5.4.3 Cloud Service Providers

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, Products & Services, Recent Developments)
    • 6.4.1 Advanced Micro Devices Inc.
    • 6.4.2 NVIDIA Corporation
    • 6.4.3 Intel Corporation
    • 6.4.4 Broadcom Inc.
    • 6.4.5 Huawei Technologies Co., Ltd.
    • 6.4.6 ZOTAC Technology Ltd.
    • 6.4.7 IBM Corporation
    • 6.4.8 Super Micro Computer Inc.
    • 6.4.9 Qualcomm Inc.
    • 6.4.10 Groq Inc.
    • 6.4.11 Hewlett Packard Enterprise Co.
    • 6.4.12 Arm Ltd.
    • 6.4.13 Marvell Technology Inc.
    • 6.4.14 Ampere Computing LLC
    • 6.4.15 T-Head (Alibaba)
    • 6.4.16 Baidu Kunlun
    • 6.4.17 Cerebras Systems Inc.
    • 6.4.18 Tachyum Inc.
    • 6.4.19 Tenstorrent Inc.
    • 6.4.20 Vast Data Ltd.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space & Unmet-Need Assessment
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Saudi Arabia Data Center Processor Market Report Scope

Data centers house and manage critical applications and data, using computing and storage networks for efficient delivery. Processors—GPUs, CPUs, and TPUs—are central to their operation. GPUs handle multitasking, excelling in graphics rendering and AI tasks. CPUs, with multi-core architecture, support parallel processing. TPUs, designed for machine learning, stand out from GPUs, which have transitioned from graphics to AI applications.

Saudi Arabia Data Center Processor Market is Segmented by Processor Type (CPU, GPU, FPGA, AI Accelerators), by Application (Advanced Data Analytics, AI/ML Training and Inferences, High Performance Computing, Security and Encryption, Network Functions, and Others), by Architecture (x86 and Non-x86 (ARM, Power and other processors), and by Data Center Type (Enterprise, Colocation and Cloud Service Providers). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).

By Processor Type GPU
CPU
FPGA
AI Accelerator
By Application Advanced Data Analytics
AI/ML Training and Inferences
High Performance Computing
Security and Encryption
Network Functions
Others
By Architecture x86
Non-x86 (ARM, Power and other processors)
By Data Center Type Enterprise
Colocation
Cloud Service Providers
By Processor Type
GPU
CPU
FPGA
AI Accelerator
By Application
Advanced Data Analytics
AI/ML Training and Inferences
High Performance Computing
Security and Encryption
Network Functions
Others
By Architecture
x86
Non-x86 (ARM, Power and other processors)
By Data Center Type
Enterprise
Colocation
Cloud Service Providers
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Key Questions Answered in the Report

What is the current size of the Saudi Arabia data center processor market?

The Saudi Arabia data center processor market size reached USD 0.99 billion in 2025 and is headed toward USD 5.48 billion by 2030.

Which processor category is growing fastest in Saudi data centers?

AI accelerators are advancing at a 36.4% CAGR as national AI factories and hyperscale clouds prioritize dedicated matrix compute.

How large is the cloud provider segment by revenue share?

Cloud operators captured 46.3% of 2024 revenue and are expanding at a 36.8% CAGR as new sovereign regions come online.

What geographic zone is emerging as a major AI hub?

NEOM is developing a 1.5 GW, net-zero AI campus that anchors future demand for energy-efficient processors.

What key restraint could slow processor adoption?

US export controls on advanced GPUs and HBM stacks can delay shipments, reducing short-term supply for high-end AI deployments.

Are non-x86 architectures gaining ground?

Yes, non-x86 platforms such as ARM Neoverse cores are scaling at 37.5% CAGR, favored for better performance-per-watt in cloud-native roles.

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