Saudi Arabia 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)  

 

Saudi Arabia AI Machine Learning Market Outlook

  • As per our findings, the Saudi Arabia market revenue stood at USD 111.9 million in 2024.
  • Market projections show the Saudi Arabia AI Machine Learning Market is forecast to reach USD 839.9 million by 2033, achieving a CAGR of 24.8% during the projection horizon.
  • 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: The Kingdom’s state-led industrialisation and AI strategy is crystallising procurement toward sovereign compute, domestic supply-chain resilience and large-scale campus projects; that reframes vendor selection in favour of partners willing to localise stacks and co-invest in on-shore capacity. The National Strategy for Data & AI and associated Vision 2030 initiatives have underpinned a sequence of sovereign investments and large-capacity project announcements throughout 2024–2025 — tilting commercial demand to suppliers that can meet residency, sustainability and national-security requirements.

Industry Progression: High-impact, in-country commercial deals are already changing capacity economics: AMD, Cisco and Saudi state-backed Humain announced a joint-venture to build AI data-centre infrastructure in Saudi Arabia (JV Nov-2025) with an initial 100 MW phase and plans to scale — a direct, local supply commitment that materially increases on-shore GPU capacity and shortens time-to-train for large models hosted inside the Kingdom.

Industry Player Insights: Domestic and global players are forming partnerships that anchor supply and go-to-market capability in Saudi Arabia: the AMD–Cisco–Humain JV and sovereign funding signals encourage cloud providers, telcos and systems integrators to package residency-compliant ML stacks, managed services and green-power pledges. Vendors that can combine in-country compute, local partner networks and regulatory compliance services are best placed to capture anchor public and private contracts in energy, defence and national modernization programmes.

*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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