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Oracle Named a Leader in IDC MarketScape for Worldwide Utility Meter Data Management

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Oracle (NYSE:ORCL) was named a Leader in the IDC MarketScape: Worldwide Utility Meter Data Management Systems 2025 Vendor Assessment on Dec 11, 2025.

The Oracle Utilities Customer Platform and standalone MDM were recognized for high-volume data handling, AI and automation, and an architecture able to process billions of smart meter readings daily. Oracle said its in-memory processing yields approximately 70% faster meter data processing and the MDM is live at 100+ utilities with 115M+ meters across 30 countries.

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Positive

  • In-memory processing delivers approximately 70% faster meter data processing
  • MDM live at 100+ utility customers
  • 115 million meters in production
  • Processes billions of smart meter readings daily
  • Cloud-native elasticity across 30 countries and four continents
  • Unified MDM and CIS data model reduces data silos

Negative

  • None.

Key Figures

Vendor assessment year 2025 IDC MarketScape: Worldwide Utility Meter Data Management Systems 2025
Processing speed gain 70% faster In-memory processing improvement for Oracle MDM meter data processing
Utility customers over 100 Oracle MDM live utility customers
Meters in production more than 115 million Meters managed by Oracle MDM in production
Countries 30 Countries where Oracle MDM is live
Continents four Continents where Oracle MDM is deployed

Market Reality Check

$198.85 Last Close
Volume Volume 36,093,816 is 1.42x the 20-day average, indicating elevated interest before this news. normal
Technical Price 223.01 is trading above the 200-day MA at 212.67, reflecting a pre-existing upward bias.

Peers on Argus

Peers in Software - Infrastructure showed mixed moves (e.g., PLTR +1.6%, MSFT -1.18%), and no peers appeared in momentum scanners, suggesting this recognition news is more stock-specific than sector-driven.

Historical Context

Date Event Sentiment Move Catalyst
Dec 10 Earnings release Positive +0.7% Strong Q2 revenue, cloud growth, EPS expansion, and dividend declaration.
Dec 02 Earnings timing Neutral +0.1% Announcement of Q2 FY26 earnings release date and conference call details.
Nov 20 Board change Neutral -6.6% Appointment of Stephen Rusckowski to board and related governance updates.
Nov 20 Health network news Positive -6.6% Oracle Health gaining TEFCA QHIN designation to enhance data interoperability.
Nov 19 AI award Positive +2.3% Named Overall Winner in Chartis RiskTech AI 50 2025 for second year.
Pattern Detected

Positive earnings and AI/product recognition have generally aligned with gains, while governance and health-network updates on Nov 20 saw notable negative price divergence.

Recent Company History

Over the past month, Oracle reported strong fiscal 2026 Q2 results on Dec 10, 2025 with rising revenue, cloud growth, and EPS expansion, alongside a $0.50 dividend. It also set the earnings date earlier in December and added Stephen Rusckowski to the board on Nov 20. Around the same time, Oracle secured a TEFCA QHIN designation and won a major AI risk-tech award. Today’s IDC MarketScape leadership news continues the theme of third-party validation of Oracle’s platforms and AI capabilities.

Market Pulse Summary

This announcement highlights Oracle’s recognition as a Leader in the IDC MarketScape for utility meter data management, emphasizing AI-driven anomaly detection, in-memory processing, and deployment across over 100 utilities and more than 115 million meters in 30 countries. In the context of recent strong earnings and repeated third-party awards, it reinforces Oracle’s data and AI strategy. Investors may watch for further customer wins and adoption metrics tied to these capabilities.

Key Terms

meter data management technical
"Utilities that view meter data management as a strategic enabler rather than a back-office..."
Meter data management is the system that collects, validates, stores and organizes utility meter readings (like electricity, gas or water) so they can be used for billing, reporting and operational decisions. Think of it as a central, cleaned-up ledger that turns thousands of raw receipts from individual meters into accurate bills, performance reports and alerts. Investors care because reliable meter data reduces billing errors, supports regulatory compliance, improves operational efficiency and enables new revenue or cost-saving services.
anomaly detection technical
"AI-enabled anomaly detection can significantly reduce billing exceptions..."
Anomaly detection is software that looks for patterns or datapoints that don’t fit expected behavior, like a smoke detector spotting an unusual signal in a room. For investors it flags unexpected events — sudden trading spikes, accounting irregularities, unusual customer behavior or operational problems — providing early warning of risk or opportunity so decisions can be made before small problems become big losses.
in-memory processing technical
"With the introduction of in-memory processing, Oracle's MDM solution delivers..."
In-memory processing is a method of running software where the data being used is kept in a computer’s fast working memory instead of slower disk storage, so calculations and queries complete much more quickly. For investors it matters because faster data handling enables real-time analytics, lower latency for trading or decision systems, and can be a competitive edge — like doing work on a clear desk instead of fetching files from a distant closet — though it can raise costs for more memory and infrastructure.
Validation Editing and Estimation (VEE) technical
"using robust Validation Editing and Estimation (VEE) engines — now enhanced..."
Validation, editing and estimation (VEE) is the process of checking raw data for mistakes, correcting or flagging errors, and filling or estimating missing or implausible values so datasets can be analyzed reliably. For investors, VEE matters because decisions and regulatory filings often rely on cleaned data; like proofreading and completing a financial spreadsheet before making a budget decision, it ensures reported results reflect reality rather than input errors or gaps.
machine learning technical
"now enhanced with embedded machine learning to reduce exceptions..."
Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.
cloud-native elasticity technical
"The solution transforms billions of meter reads into operational intelligence every day with cloud-native elasticity."
cloud-native elasticity describes software and systems built to run in cloud environments that automatically grow or shrink their computing capacity as demand changes, like a thermostat that heats more when a room gets cold and less when it warms up. For investors, it matters because elastic systems can cut costs during slow periods, handle sudden spikes in user activity without downtime, and support faster product changes — all of which can improve profitability and reduce operational risk.

AI-generated analysis. Not financial advice.

AUSTIN, Texas, Dec. 11, 2025 /PRNewswire/ -- In recognition of its ability to help utilities power their operations with clean meter data, Oracle has been named a Leader in the IDC MarketScape: Worldwide Utility Meter Data Management Systems 2025 Vendor Assessment.1 Read the excerpt here. 

"Oracle's position in the Leaders Category in the 2025 IDC MarketScape demonstrates its ability to successfully deliver large-scale deployments across a rapidly expanding, global client footprint," said Gaia Gallotti, research director, IDC Energy Insights. "In particular, Oracle was recognized for its dynamic, high-volume data handling and continued innovation in AI and automation that helps its customers enhance the speed and accuracy of informed decision making."

AI and automation-driven results
The Oracle Utilities Customer Platform includes metering, billing, sales, service, engagement, and analytics components—all leading global solutions in their respective categories—that radically reduce utility modernization costs and complexity as one platform. Oracle provides its MDM as a standalone product, in the cloud or on-premises, or as part of the Oracle Utilities Customer Platform.

The Oracle platform empowers utilities with clean meter data and AI-powered capabilities—including anomaly detection and in-memory processing—to help deliver fast, accurate meter reads and actionable intelligence. These capabilities are critical for automating tedious, manual work and streamlining utility operations. For example, AI-enabled anomaly detection can significantly reduce billing exceptions—minimizing issue analysis, truck rolls, and unnecessary operational costs.

Regarding Oracle's approach, the IDC MarketScape noted, "Its architecture enables utilities to process billions of smart meter readings daily using robust Validation Editing and Estimation (VEE) engines — now enhanced with embedded machine learning to reduce exceptions and automate anomaly detection." With the introduction of in-memory processing, Oracle's MDM solution delivers approximately 70% faster meter data processing and significantly reduces storage requirements.

In addition to this evaluation, Oracle was also named a Leader in the IDC MarketScape: Worldwide Customer Information System & Billing Solutions for Utilities 2024 Vendor Assessment.2

Oracle MDM is now live at over 100 utility customers—with more than 115 million meters in production—in 30 countries across four continents. The solution transforms billions of meter reads into operational intelligence every day with cloud-native elasticity. The report added, "A key distinctive capability is the integration of MDM and CIS functionalities in a unified, extensible data model and user interface (C2M), eliminating data silos and reducing the need for separate synchronization."

Fueling innovation and business value with data
With rising expectations for service reliability and transparency, smarter, faster technology to handle that complexity and satisfy customers is a business imperative. Gallotti continued, "Utilities that view meter data management as a strategic enabler rather than a back-office IT system will be best positioned to orchestrate data-driven value across the evolving energy ecosystem—whether through greater grid resilience, improved operational efficiency, or new customer and market opportunities enabled by the energy transition."

It all starts with meter data utilities can trust, especially as AI takes on a larger role. "Clean, reliable meter data is increasingly one of the most valuable assets in utility operations," said Paul McDonald, vice president of utilities products at Oracle. "With the world asking more of utilities and utilities turning to AI to meet those needs, their data foundation has never been more important. Hundreds of millions of new smart meters are being installed globally, and we see a huge opportunity to help utilities put all that new data to work: handling rising demand, operating more efficient systems, and delivering more value to the customers they serve."

To view the IDC MarketScape excerpt, click here.

To learn more about Oracle Utilities solutions visit here and join the discussion on LinkedIn.

About IDC MarketScape
IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of technology and service suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor's position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

1 IDC MarketScape: Worldwide Utility Meter Data Management Systems 2025 Vendor Assessment," (Doc # US52984625), October 2025.

2 IDC MarketScape: Worldwide Customer Information System & Billing Solutions for Utilities 2024 Vendor Assessment," (Doc # US49060523), March 2024.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

Trademarks
Oracle, Java, MySQL, and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/oracle-named-a-leader-in-idc-marketscape-for-worldwide-utility-meter-data-management-302639107.html

SOURCE Oracle

FAQ

What did Oracle announce about utility meter data management on Dec 11, 2025 (ORCL)?

Oracle was named a Leader in the IDC MarketScape: Worldwide Utility Meter Data Management Systems 2025 assessment.

How many utility customers and meters use Oracle MDM (ORCL)?

Oracle MDM is live at 100+ utility customers with over 115 million meters in production.

What performance gain did Oracle claim for its MDM processing (ORCL)?

Oracle reported its in-memory processing delivers approximately 70% faster meter data processing.

Can Oracle MDM handle high-volume meter reads for utilities (ORCL)?

Yes; the platform is described as processing billions of smart meter readings daily with VEE and ML-enhanced anomaly detection.

What investor-relevant benefits did Oracle highlight for utilities using its MDM (ORCL)?

Oracle cited reduced billing exceptions, fewer truck rolls, lower operational costs, and faster, AI-driven decision making.

Where is Oracle's utility MDM deployed geographically (ORCL)?

Oracle MDM is in production across 30 countries on four continents with cloud-native deployment options.
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