Oman 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)  

 

Oman AI Machine Learning Market Outlook

  • In 2024, industry figures show the Oman market stood at USD 17.5 million.
  • Our industry-aligned projections anticipate the Oman AI Machine Learning Market will achieve USD 137.9 million by 2033, with a forecasted CAGR of 26.0% during the forecast period.
  • 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: Oman’s digital agenda is prioritising local capability-building and green hosting, which shifts procurement toward vendors who can combine residency, energy-aware operations and government collaboration. The Oman AI & Digital Future Program (2024–2026) and related national project portfolios make clear that public buyers will prioritise suppliers able to deliver sustainable, on-island compute and linked skilling programmes rather than one-off external cloud deployments.

Industry Progression: The country turned policy into tangible capacity when Oman Data Park announced a phased green-energy project to power data-centre operations (first phase 1.4MW solar, announced Aug-2025), and the government announced an AI Zone development project to attract private partners (Nov-2025). These concrete infrastructure steps expand in-country hosting and provide clearer practical options for enterprises to run production ML workloads with lower energy and residency risk.

Industry Player Insights: Domestic vendors and national digital players are packaging these capabilities into production offers: Oman Data Park (green data-centre initiatives), Omantel (connectivity and cloud services), Knowledge Oasis Muscat (infrastructure campus) and the Ministry of Transport, Communications & Information Technology (MTCIT) partnerships are actively creating on-shore AI hosting, MLOps and skilling channels. Their coordinated moves—green powering of data centres and AI zone frameworks—give Omani customers validated, residency-compliant stacks and faster procurement pathways for government and commercial ML projects.

*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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