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Asset Performance Management Software

Asset Performance Management Software Reviews and Ratings

What is Asset Performance Management Software?

Gartner defines the asset performance management (APM) software market as the software and applications that optimize the reliability and availability of industrial operational assets. The market is particularly attractive to asset-intensive industries, including power, utilities, manufacturing, oil and gas, natural resources, telcos, and transportation (excluding aviation, which has specialized requirements). In these industries, asset failure can have a significant impact on service delivery, the bottom-line revenue, and safety and reputation. APM is primarily deployed on industrial assets, including fixed industrial plants and equipment, linear assets or infrastructure, fleets, and facilities.

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Logo of GE Vernova Asset Performance Management

GE Vernova Asset Performance Management

By GE Vernova

4.1
(29 Ratings)

GE Vernova Asset Performance Management is a software designed to help organizations in the energy sector optimize the reliability and efficiency of their physical assets. It offers functionalities for monitoring asset health, predicting potential failures, and prioritizing maintenance activities through advanced analytics and machine learning. The software aggregates and analyzes data from various assets to provide actionable insights for performance improvement, risk reduction, and cost management. By enabling users to make data-driven decisions regarding maintenance and operations, it aims to support business objectives related to asset availability, safety, and operational performance.

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Logo of AVEVA PI System

AVEVA PI System

By AVEVA

4
(16 Ratings)

AVEVA PI System is a software designed for real-time data collection, analysis, and management. It enables organizations to aggregate large volumes of operational data from industrial sources, including sensors and control systems, providing accessible and reliable information for monitoring and optimizing processes. The software offers scalable data infrastructure, secure data storage, data visualization tools, and integration capabilities for third-party applications and enterprise systems. It addresses business needs related to asset performance, operational efficiency, compliance, and informed decision making by transforming raw data into actionable insights. The software supports industries seeking enhanced visibility and control over operational activities through configurable analytics and reporting features.

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Logo of AssetWise Asset Lifecycle Information Management (ALIM)

AssetWise Asset Lifecycle Information Management (ALIM)

By Bentley Systems

4
(5 Ratings)

AssetWise Asset Lifecycle Information Management (ALIM) software supports organizations in managing and controlling asset information throughout the entire lifecycle of infrastructure assets. The software facilitates the integration, organization, and governance of asset data, enabling users to capture, maintain, and retrieve accurate information related to assets, including design, engineering, maintenance, and operational details. AssetWise ALIM enhances decision-making by providing a centralized platform for asset information management, reducing risks associated with data loss, and improving compliance with regulatory requirements. The software enables tracking of asset changes, supports collaboration between project stakeholders, and assists in optimizing asset performance and reliability over time.

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Logo of Maximo Application Suite

Maximo Application Suite

By IBM

3.3
(5 Ratings)

IBM Maximo Application Suite is an integrated asset lifecycle management solution that helps organizations remotely maintain, monitor and manage assets throughout their entire lifecycle, from acquisition to disposal - all within a single unified platform. It uses AI, IoT and analytics to optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs. With IBM Maximo Application Suite, companies gain an easy-to-adopt solution with key Enterprise Asset Management (EAM), Asset Performance Management (APM), Reliability-Centered Maintenance (RCM), and mobility capabilities.

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Logo of Asset Health Center

Asset Health Center

By ABB

4
(4 Ratings)

Asset Health Center is a software developed to support condition monitoring and predictive maintenance for industrial assets. The software collects and analyzes data from a range of equipment and sensors to provide insights into asset performance and maintenance needs. It offers features for real-time monitoring, diagnostics, and reporting, helping organizations identify potential issues before they lead to failures. Through integration with operational systems, it aims to reduce unplanned downtime, optimize maintenance activities, and extend asset life. The software addresses business challenges related to equipment reliability, maintenance efficiency, and operational costs by enabling informed decision-making based on data-driven analysis.

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Logo of DNV Cascade

DNV Cascade

By DNV

4
(2 Ratings)

DNV Cascade is a software designed to support the management and maintenance of physical assets within the energy and utility sectors. The software enables organizations to track asset condition, schedule maintenance activities, and optimize asset lifecycle management to enhance reliability and performance. Cascade software provides configurable workflows, data analytics, and reporting tools that help asset managers identify potential risks and prioritize interventions. Its features include asset register, work order management, inspection scheduling, and documentation management. By facilitating effective asset management practices, the software addresses business needs related to regulatory compliance, operational efficiency, and risk mitigation.

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Logo of SAP Asset Performance Management Software

SAP Asset Performance Management Software

By SAP

4
(2 Ratings)

SAP Asset Performance Management Software is designed to help organizations manage the lifecycle and performance of their physical assets. The software supports capabilities such as asset health monitoring, predictive maintenance, and risk assessment. It enables users to analyze asset data, identify potential failures, and optimize maintenance schedules, which can aid in reducing unplanned downtime and increasing operational efficiency. The software integrates data from various sources to provide insights on asset conditions and performance trends, supporting informed decision-making. It aims to address challenges related to asset reliability, maintenance costs, and regulatory compliance across industries that depend on complex assets.

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Logo of Avantis PRO EAM

Avantis PRO EAM

By AVEVA

1
(1 Rating)

Avantis PRO EAM is an enterprise asset management software designed to assist organizations in managing the lifecycle and performance of physical assets. The software provides features such as asset tracking, maintenance scheduling, work order management, inventory control, and compliance management. It helps organizations optimize asset reliability and availability by streamlining maintenance processes, reducing unplanned downtime, and supporting data-driven decision making. Avantis PRO EAM enables organizations to monitor asset health, track costs, and plan preventive maintenance activities to address operational efficiency and asset utilization challenges. This software is used to address business needs related to asset life cycle management, regulatory compliance, and cost control in industries with complex operational assets.

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Logo of AVEVA Predictive Analytics

AVEVA Predictive Analytics

By AVEVA

4
(1 Rating)

AVEVA Predictive Analytics is a software designed to enable early detection of equipment and process anomalies in industrial environments. The software applies advanced machine learning and statistical algorithms to monitor sensor data from assets such as pumps, motors, and compressors. AVEVA Predictive Analytics helps users identify potential failures and inefficiencies by converting real-time operational data into actionable insights, allowing for proactive maintenance and reduced unplanned downtime. The software integrates with existing control and monitoring systems, supports data visualization, and provides automated alerts for deviation from normal operating conditions. AVEVA Predictive Analytics addresses the need for improved asset reliability, increased operational efficiency, and optimized resource utilization in manufacturing, energy, utilities, and other process-driven industries.

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Logo of eWorkOrders

eWorkOrders

By eWorkOrders

4
(1 Rating)

eWorkOrders is a cloud-based computerized maintenance management software that helps organizations manage and track maintenance operations. The software provides features for work order management, asset tracking, preventive maintenance scheduling, inventory management, and reporting. Users can submit, assign, and monitor work requests, while maintaining records of equipment history and maintenance tasks. eWorkOrders offers tools to schedule and automate routine maintenance, manage spare parts inventory, and generate detailed reports for analysis of maintenance activities. The software is designed to address challenges related to asset downtime, compliance, resource allocation, and overall maintenance efficiency within various industries.

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Logo of Accruent TMS

Accruent TMS

By Accruent

Accruent’s TMS is a purpose-built healthcare CMMS trusted by over 600 healthcare organizations. It minimizes downtime, maximizes equipment effectiveness, ensures compliance, improves cybersecurity, and streamlines data-driven decision-making, by optimizing biomed and facility management operations for enhanced financial performance and patient experiences.

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Logo of APMSmartApps (Legacy)

APMSmartApps (Legacy)

By MaxGrip

APMSmartApps (Legacy) is a software designed to support asset performance management by providing tools for monitoring, analyzing, and optimizing the reliability and efficiency of physical assets in industrial environments. The software offers functionalities such as condition monitoring, predictive analytics, reporting, and maintenance planning to help organizations identify potential issues, reduce downtime, and improve operational efficiency. It enables users to make data-driven decisions regarding asset lifecycle management by utilizing data collected from various sources within the plant or facility. APMSmartApps (Legacy) aims to address challenges related to unplanned maintenance, equipment failures, and resource allocation by supporting preventive and predictive maintenance strategies through its features and analytical capabilities.

Logo of Aspen Mtell

Aspen Mtell

By Aspen Technology

Aspen Mtell is a software designed for predictive and prescriptive maintenance in industrial environments. It utilizes machine learning and pattern recognition to monitor equipment health, detect anomalies, and forecast potential failures before they occur. The software ingests data from sensors and control systems, automating the identification of failure patterns and enabling maintenance teams to address issues proactively. Aspen Mtell provides actionable insights that help optimize asset performance, reduce downtime, and extend equipment life. The software integrates with other operational technology platforms, allowing organizations to streamline maintenance workflows and improve overall operational reliability.

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Logo of Avantis Condition Manager (CM)

Avantis Condition Manager (CM)

By AVEVA

Avantis Condition Manager (CM) is a software developed to monitor and manage the health of industrial assets through real-time condition-based data. The software uses information from sensors and equipment monitoring systems to track key performance indicators and asset conditions, enabling users to identify potential failures and schedule maintenance based on actual equipment states. Avantis Condition Manager supports automated data collection, analysis, and reporting to streamline maintenance workflows, reduce unplanned downtime, and optimize asset reliability. The software integrates with existing plant systems to provide comprehensive visibility into operational status, helping organizations address maintenance issues proactively and improve overall asset performance.

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Logo of C3 AI Reliability

C3 AI Reliability

By C3 AI

C3 AI Reliability is a software designed to support asset reliability management for industrial organizations. It uses artificial intelligence to analyze sensor data and operational information to detect potential failures and predict maintenance needs. The software enables users to monitor asset performance, assess risk levels, and optimize maintenance schedules by providing actionable insights. It addresses the business problem of unexpected equipment downtime, helping organizations reduce operational disruptions and maintenance costs. The software includes features for anomaly detection, pattern recognition, and customizable reporting to enhance visibility into asset health and enable data-driven decision making across multiple asset types and locations.

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Logo of CARL Source

CARL Source

By Berger-Levrault (CARL Software)

CARL Source is a software designed to assist organizations with computerized maintenance management. The software enables users to manage assets, plan maintenance activities, and monitor the status of equipment and facilities. It offers features such as tracking work orders, scheduling preventive maintenance, managing inventory, and analyzing performance metrics related to operational efficiency. The software addresses business challenges associated with maintaining infrastructure, optimizing resources, and reducing unplanned downtime. It provides tools for budgeting and cost control related to maintenance operations, facilitating decision-making based on data collected from day-to-day activities. CARL Source is utilized across sectors that require structured and reliable asset management.

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Logo of Enalysis

Enalysis

By Detechtion Technologies

Enalysis is a software designed for the monitoring, analysis, and optimization of gas compressor systems. It provides real-time data tracking, performance evaluation, and operational insights to assist energy companies in managing compressor fleets. The software delivers actionable information related to equipment reliability, efficiency, and maintenance scheduling, which helps users identify operational inefficiencies and address potential performance issues. By leveraging analytics, Enalysis supports decision-making processes related to asset utilization and helps reduce unplanned downtime. The software aims to solve business challenges associated with asset optimization and maintenance planning in the oil and gas sector.

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Logo of Equipment Reliability (ER)

Equipment Reliability (ER)

By ABB

Equipment Reliability (ER) is a software offered by ABB that is designed to help industrial organizations monitor, analyze, and improve the performance of their physical assets. The software provides tools for tracking equipment health, scheduling maintenance, and identifying potential issues before they impact operations. By utilizing data from sensors and maintenance logs, the software enables users to perform root cause analysis and develop preventive maintenance strategies. This helps reduce downtime and optimize asset lifecycle costs by allowing organizations to make data-driven decisions regarding equipment maintenance and replacement. The software is used in industries where asset reliability and efficiency are critical to operational continuity and helps address challenges related to unexpected equipment failures and maintenance overspending.

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Logo of Honeywell Forge Performance+ for Industrials | Asset Performance

Honeywell Forge Performance+ for Industrials | Asset Performance

By Honeywell

Honeywell Forge Performance+ for Industrials | Asset Performance is a software designed to help industrial organizations monitor, manage, and optimize the performance of their physical assets. The software offers a suite of features such as asset health monitoring, predictive maintenance, analytics, and reporting to detect potential issues and support proactive decision making. By integrating operational data from equipment and devices, the software provides insights that assist in minimizing downtime, improving asset reliability, and enhancing maintenance planning. The software aims to address business challenges related to asset efficiency, operational costs, and risk by delivering actionable information and enabling better resource allocation across industrial environments.

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Logo of Mainsim

Mainsim

By Mainsim

Mainsim is a software designed to support facility and maintenance management by streamlining work order processes, scheduling preventive maintenance, tracking assets, and managing inventory. The software offers features for creating and assigning work orders, monitoring equipment performance, and analyzing maintenance data to improve operational efficiency. Through its centralized platform, Mainsim facilitates communication among maintenance teams and provides tools for reporting, document management, and cost tracking. This software aims to assist organizations in reducing downtime, optimizing resource allocation, and ensuring compliance with maintenance regulations.

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Features of Asset Performance Management Software

Updated April 2025

Mandatory Features:

  • Financially optimized maintenance: a) Cost, revenue and failure data analysis for optimized maintenance focus and execution. It includes risk-based maintenance (RBM) or risk-based inspection (RBI) assessments. It calculates the value of an asset output to determine the optimal maintenance regimen to be followed. RBM and RBI take into account the production impact of an asset; b) Correlation of production requirements with maintenance needs to optimize the overall production capacity, maintenance downtime and risk of failure over time to achieve a balance; c) Financial data integration beyond EAM, such as ERP and asset investment planning (AIP), for analyzing financial information related to production output.

  • Reliability-Centered Maintenance (RCM): a) Data collection and aggregation from EAM systems; b) Root cause failure analysis to identify and address the causes of failures; c) Library of failure modes and recommended practices; d) Failure mode and effects analysis (FMEA) to assess impacts and likelihood of failures; e) Guidance on corrective actions to reduce, delay or eliminate future failures.

  • Predictive Maintenance Forecasting: a) Statistical modeling and regression analysis of observable characteristics in specific equipment over time; b) Computational data model (such as neural network analysis) that captures complex input-output relationships; c) Methods to determine observable failure indicators (such as machine learning); d) Algorithms (often proprietary ones) that reflect degradation and failure patterns; e) Monte Carlo simulation.

  • System interfaces: APM products are deployed as stand-alone solutions. Thus, they require predefined adapters to integrate with enterprise asset management (EAM) or computerized maintenance management system (CMMS) tools; the Internet of Things (IoT) or industrial IoT (IIoT); data historians; and operational technologies (supervisory control and data acquisition [SCADA], programmable logic controller [PLC], and condition assessment tools, such as devices and operational performance tools).

Gartner Research

Market Guide for Asset Performance Management Software

Popular Product Comparisons

AVEVA PI System vs GE Vernova Asset Performance ManagementAssetWise Asset Lifecycle Information Management (ALIM) vs Maximo Application SuiteAssetWise Asset Lifecycle Information Management (ALIM) vs AVEVA PI System

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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