The Saudi Arabia data center chip market size reached USD 106.7 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 170.8 Million by 2033, exhibiting a growth rate (CAGR) of 5.36% during 2025-2033. The market is growing due to rising AI adoption, cloud infrastructure expansion, and demand for high-performance inference and training systems. Strategic investments and national digital goals are driving chip usage across government, enterprise, and technology sectors.
Report Attribute
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Key Statistics
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Base Year
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2024 |
Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024 | USD 106.7 Million |
Market Forecast in 2033 | USD 170.8 Million |
Market Growth Rate 2025-2033 | 5.36% |
Expanding AI Inference Requirements
Saudi Arabia's rising focus on AI applications is pushing demand for efficient, high-performance data center chips. The need to support real-time decision-making, voice processing, and large-scale inference tasks is encouraging investment in infrastructure tailored to AI workloads. This includes accelerators and processors that can manage language models, deep learning algorithms, and other compute-intensive tasks. As public and private organizations turn to AI-driven operations, there's greater emphasis on fast data processing and lower latency, which has driven interest in dedicated AI inference chips. In February 2025, Groq secured USD 1.5 Billion from Saudi Arabia to enhance its AI inference infrastructure. The expansion included the Damman data center, where Groq deployed thousands of its LPU-based chips to support projects like the Arabic Large Language Model (ALLaM). This initiative, backed by Aramco Digital and aligned with Vision 2030, reinforced the shift toward inference-focused chip demand rather than training-heavy solutions. The strategic deployment of such AI inference chips has elevated Saudi Arabia's position in AI computing. It also laid the groundwork for new public sector and enterprise deployments that require scalable, chip-intensive environments, directly contributing to the local data center chip market's growth.
Strengthening Cloud-Based AI Models
The expansion of cloud infrastructure for AI development is significantly shaping Saudi Arabia's data center chip landscape. Cloud providers are integrating specialized chips into their architectures to meet the increasing demand for training and deploying large AI models. These chips enable seamless scaling, faster processing, and enhanced resource utilization—essential for supporting multilingual models, industry-specific tools, and digital public services. The emphasis is not only on computing power but also on efficiency and security, in line with data sovereignty goals. In September 2024, Huawei Cloud launched its AI-ready infrastructure in Saudi Arabia, boosting chip demand by introducing advanced training and inference capabilities. This rollout supported projects like the Pangu model for government services, and an Arabic LLM used across more than 20 AI applications. Huawei's ecosystem investments, including AI development tools and sector-specific deployments, further encouraged chip adoption at scale. The focus on localized cloud solutions with embedded AI capacity has helped diversify chip usage across industries like retail, finance, and telecom. As cloud platforms take center stage in Saudi Arabia's digital shift, chipmakers are finding new demand streams tied to scalable inference and training performance within cloud-native environments.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the region/country level for 2025-2033. Our report has categorized the market based on chip type, data center size, and industry vertical.
Chip Type Insights:
The report has provided a detailed breakup and analysis of the market based on the chip type. This includes GPU, ASIC, FPGA, CPU, and others.
Data Center Size Insights:
A detailed breakup and analysis of the market based on the data center size have also been provided in the report. This includes small and medium size and large size.
Industry Vertical Insights:
A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes BFSI, manufacturing, government, IT and telecom, retail, transportation, energy and utilities, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include Northern and Central region, Western region, Eastern region, and Southern region.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Million USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Chip Types Covered | GPU, ASIC, FPGA, CPU, Others |
Data Center Sizes Covered | Small and Medium Size, Large Size |
Industry Verticals Covered | BFSI, Manufacturing, Government, IT and Telecom, Retail, Transportation, Energy and Utilities, Others |
Regions Covered | Northern and Central Region, Western Region, Eastern Region, Southern Region |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |