ACWA Power’s Migration to Microsoft Azure for Predictive Maintenance
Use case typePredictive maintenanceUpdated Jun 13, 2026
ACWA Power migrated from on-premises IT to Microsoft Azure during the pandemic, enabling predictive maintenance across its global power and desalination assets. This transformation enhanced scalability, reduced costs, and improved operational efficiency.
- Organization
- ACWA Power
- Industry
- Energy & Utilities
- Location
- Saudi Arabia
- Published
- April 2025
Reported outcomes
Strategic outcomes
Scale & capacityEnabled instant IT resource scalingCost efficiencyReduced operational infrastructure costsSpeed & agilityImproved disaster recovery and availabilityScale & capacityImproved large-scale data processing
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- ACWA Power
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- microsoft.com
This transformation enhanced scalability, reduced costs, and improved operational efficiency
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Predictive maintenance for power generation and desalination assets
- 2Automated data scaling for operational analytics
- 3Remote management of infrastructure and disaster recovery
- Limited access to physical data centers during COVID-19 lockdowns led to delayed recovery and downtime
- On-premises IT infrastructure required multiple teams and frequent hardware maintenance
- Scalability was slow, requiring 6-8 weeks for new hardware and configuration
- Unpredictable growth in data volumes from assets made analytics and maintenance difficult
- High operational costs due to managing physical infrastructure and multiple partners
- Migrated all on-premises IT infrastructure to Microsoft Azure
- Implemented cloud-based management for maintenance and scalability
- Leveraged Azure on-demand resources for improved flexibility and capacity planning
- Reduced dependency on physical data centers and manual intervention
- Enabled instant scaling of IT resources, reducing wait times from 6-8 weeks to minutes
- Significantly reduced operational costs by eliminating on-premises hardware
- Improved service availability and disaster recovery despite lockdowns
- Simplified operations by reducing redundancy and need for multiple partners
- Enhanced ability to process large data volumes effectively
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: Customer StoryPublished: Apr 26, 2025Publisher: microsoft.comEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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