Best Asset Performance Management (APM) Software in 2026: An Independent Comparison

By Reliable Media

Asset Performance Management Software

Last updated: October 2026 | By the editors at Reliable

Updated October 2026: re-verified all seven platforms against vendor pages and newsrooms; Honeywell's APM software is now sold by Honeywell Technologies; AspenTech is wholly owned by Emerson; GE Vernova's APM module names and IBM Maximo's published Essentials pricing updated; Bentley's APM module is AssetWise Reliability.

The short version: GE Vernova APM remains the reference platform for power generation and heavy industry, built on OEM equipment knowledge and a module set that now runs from APM Strategy and Reliability through APM Health, SmartSignal predictive analytics, Autonomous Inspection, and Rounds Pro. IBM Maximo Application Suite is the one platform here that puts EAM and APM in a single suite, and the only one with published starting prices.

AVEVA, part of Schneider Electric, leads in process industries where the AVEVA PI System and SCADA data are the foundation. SAP Asset Performance Management is the natural choice for S/4HANA shops, with closed-loop integration into SAP maintenance. Aspen Mtell, now an Emerson company, is the machine learning specialist for high-frequency sensor data.

Bentley AssetWise is built for infrastructure (rail, utilities, water), pairing asset information management with RBI, RCM, and FMEA analytics. Honeywell Forge, now from Honeywell Technologies, the pure-play automation company that emerged from Honeywell's June 2026 split, serves multi-site operations that want asset health analytics at one site or across a global portfolio.

How We Evaluated

This guide compares seven enterprise APM platforms on predictive analytics capability, condition monitoring integration, asset strategy and risk management, industry depth, scalability, CMMS and EAM integration, deployment options, and total cost of ownership. We reviewed vendor documentation, the Gartner Market Guide for APM Software (2025), Verdantix Green Quadrant rankings, ARC Advisory Group assessments, and feedback from asset managers across power generation, oil and gas, chemicals, utilities, and manufacturing.

Reliable does not accept payment for rankings. Vendors may sponsor enhanced listings with additional detail, but editorial rankings are independent. Read our editorial policy.

7 Best APM Software Platforms in 2026, Ranked by Use Case

1. GE Vernova APM — Best for Power Generation and Heavy Industry

GE Vernova's APM suite grew out of two acquisitions, Meridium and SmartSignal, and it is still the platform most power producers measure the category against. The OEM angle is the point: GE Vernova designs, builds, operates, and services much of the equipment the software monitors, and that experience is embedded in the failure models and analytics.

The suite is modular. GE Vernova currently names APM Strategy, APM Reliability, APM Integrity, APM Safety, APM Health, APM SmartSignal (predictive analytics), Autonomous Inspection, and Rounds Pro, all running on Essentials, its microservice-based platform. Applications can be deployed one at a time or together, and GE Vernova says the suite serves more than 300 customers (vendor figure, January 2026). Cloud is the direction of travel: GE Vernova describes a strong cloud footprint and a push toward SaaS, while Meridium-based on-premise installations remain in the documentation.

Ownership did not change in 2026, even though GE Vernova's software portfolio did. GE Vernova completed the $600 million sale of its Proficy software business (HMI/SCADA, MES, historian, and industrial analytics) to TPG on March 2, 2026; Proficy now trades as Velotic alongside PTC's former ThingWorx and Kepware businesses. APM stayed with GE Vernova, which groups it with GridOS under its electrification software.

Best for: Power generation, oil and gas, and heavy industry with high-value rotating and fixed equipment, especially organizations running GE-manufactured assets.

Pricing: Custom enterprise pricing. Modular: start with one application and expand. Contact GE Vernova for quotes.

Deployment: Cloud (SaaS, primary) and on-premise

Key differentiator: OEM-level equipment expertise embedded in analytics and failure models

2. IBM Maximo Application Suite — Best Unified EAM + APM

Maximo Application Suite (MAS) is the only platform on this list that combines full enterprise asset management with APM in one suite. Maximo Manage handles work orders, planning, and inventory; Maximo Health scores asset condition; Maximo Predict forecasts failures; Maximo Monitor ingests IoT data; Maximo Visual Inspection applies computer vision; and Reliability Strategies, Scheduler, Mobile, Assist, Schedule Optimizer, Maximo IT, Real Estate and Facilities, and Inventory Optimization round out the suite.

The practical effect: when Maximo Health flags a degrading asset, the work order lands in Maximo Manage with parts, labor, and procedures attached, with no integration project in between.

Licensing uses AppPoints, credits that can be shifted between applications and user types as needs change. IBM now publishes entry pricing. Maximo Maintenance Essentials, the SaaS entry tier covering maintenance and asset health, starts under US$40,000 per year (150 AppPoints); Inspection Essentials starts under US$47,000. The Standard and Premium SaaS editions, which add APM, Reliability Centered Maintenance, Real Estate and Facilities, and Inventory Optimization, and the client-managed software edition are quoted. Subscriptions run a minimum 12 months.

Deployment: SaaS through AWS (with a choice of regions in the U.S., Canada, Germany, the UK, the UAE, Australia, India, Singapore, and Japan), client-managed on AWS, Azure, Google Cloud, or other clouds, or on-premise and hybrid. The suite ships with the Red Hat OpenShift software it runs on.

Best for: Enterprises wanting a single platform for both maintenance execution (EAM) and asset strategy optimization (APM)

Pricing: AppPoints-based licensing. Essentials SaaS tiers start under US$40,000 per year; Standard, Premium, and client-managed editions are quoted. Contact IBM for quotes.

Deployment: SaaS (AWS), client-managed cloud, or on-premise

Key differentiator: Only unified EAM + APM suite, with strategy and execution in one platform

3. AVEVA APM — Best for Process Industries

AVEVA, wholly owned by Schneider Electric since 2023, built its reputation on SCADA, historians, and MES, first through the 2018 combination with Schneider Electric's industrial software business (Wonderware and Avantis among them) and then through the 2021 acquisition of OSIsoft. The OSIsoft PI System is now the AVEVA PI System, and it is the data backbone that AVEVA's APM applications draw on.

The APM portfolio as AVEVA lists it today: AVEVA Predictive Analytics (formerly PRiSM) for AI-driven anomaly detection and failure prediction; AVEVA Asset Strategy Optimization for risk-based strategy and RCM; AVEVA Advanced Analytics, a cloud-based analytics layer; AVEVA Mobile Operator (formerly IntelaTrac) for operator rounds; AVEVA Unified Operations Center; and AVEVA Monitoring and Diagnostic Services for outsourced monitoring. The CONNECT Industrial AI Assistant, a generative AI tool, answers natural-language questions against CONNECT data and applications.

Operations analytics run on-premise or in the cloud, and the cloud-based pieces support remote and multi-site deployment. AVEVA's named results include 99 percent plant reliability at SCG Chemicals and $17.4 million in annual savings at PETRONAS (vendor figures).

One note for the watchlist: Schneider Electric agreed in October 2026 to acquire PTC for about $22.6 billion (PTC 8-K, October 5, 2026). The deal excludes ThingWorx and Kepware, which PTC had already sold to TPG, and has not closed as of this update.

Best for: Oil and gas, chemicals, power, and other continuous process industries, especially those already using the AVEVA PI System, AVEVA SCADA, or AVEVA MES.

Pricing: Custom enterprise pricing. Contact AVEVA for quotes.

Deployment: Cloud (primary) and on-premise

Key differentiator: Deepest integration with the PI System, SCADA, and process data for anomaly detection

4. SAP Asset Performance Management — Best for SAP Environments

SAP Asset Performance Management is SAP's cloud APM, delivered as SaaS and designed around closed-loop integration with SAP Enterprise Asset Management: asset master data and failure data align with SAP EAM, and condition monitoring can generate maintenance notifications automatically. SAP describes out-of-the-box integration with SAP S/4HANA and SAP ERP, so asset health flows to work order, procurement, and cost center without middleware.

Capabilities as SAP names them: asset risk assessment, risk and criticality assessment, asset reliability engineering with RCM and FMEA assessments, asset health monitoring with continuously and dynamically created backlogs, embedded IoT (SAP embeds Cumulocity IoT), AI-based predictive maintenance, and AI-assisted visual inspection using computer vision.

The trade-off is unchanged. The value is in the SAP landscape; organizations on a non-SAP ERP or CMMS get a fraction of the benefit.

SAP publishes its pricing metric but not its prices: SAP Asset Performance Management is licensed in blocks of 100 objects per year.

Best for: Organizations running SAP S/4HANA that want APM insights flowing into maintenance, procurement, and finance without integration middleware.

Pricing: Licensed in blocks of 100 objects per year; no list price published. Contact SAP or authorized partners for quotes.

Deployment: Cloud (SaaS)

Key differentiator: Native S/4HANA integration: asset health to work order to PO to cost center in one system

5. Aspen Mtell — Best Machine Learning for Predictive Maintenance

Aspen Mtell is AspenTech's prescriptive maintenance application, and AspenTech has been a wholly owned Emerson subsidiary since March 12, 2025, when Emerson completed its purchase of the remaining shares at $265 each and the stock left Nasdaq. AspenTech continues as a business unit inside Emerson's Control Systems & Software segment, and the Aspen Mtell name is unchanged.

Mtell learns normal equipment behavior from historical sensor data and deploys agents that watch live data streams for the signatures that precede failure. AspenTech says it detects failure patterns up to 90 days in advance (vendor claim), and embedded FMEA prescribes the corrective action along with the alert. It is equipment-agnostic, with industry asset templates such as metals and mining, and AspenTech cites compressor and bearing failures caught early at YPF in Argentina, saving ten days of production (vendor case).

Integration runs two ways: deep integration with EAM systems to push insights into existing ERP workflows, and integration with Emerson's AMS vibration monitoring. The current release is v15.

Best for: Process industries with high-frequency sensor data from critical equipment, where early detection justifies the investment in advanced machine learning.

Pricing: Custom enterprise pricing. Contact AspenTech for quotes.

Deployment: Cloud and on-premise

Key differentiator: Agent-based machine learning that learns from your own data, with embedded FMEA that prescribes the fix

6. Bentley AssetWise — Best for Infrastructure Assets

Bentley Systems built AssetWise on its infrastructure engineering heritage (roads, bridges, rail, water, utilities, and industrial plants), and it is strongest with linear and distributed assets and with regulated infrastructure where documentation and compliance matter as much as performance.

Two products carry the APM work. AssetWise ALIM (Asset Lifecycle Information Management) is the document, data, and configuration management foundation, with a tag register, physical asset register, change control, and audit trails, and it integrates with SAP and Maximo. AssetWise Reliability is the analytics layer: a reliability strategy selector that applies RBI, RCM2, FMEA, and SIF methodologies, RCM compliant with SAE JA1011 and JA1012, risk-based inspection for pressure systems and tanks, condition monitoring templates and condition indicators, and asset criticality and safety analysis (SIL/SIF, HAZOP). AssetWise Linear Network Management covers rail and other linear networks.

Deployment is Bentley-hosted or on-premise and self-hosted. Bentley is adding AI-assisted workflows through its Bentley MCP Server, which works with Microsoft Copilot.

Best for: Transportation, utilities, water, and other infrastructure-heavy industries, especially those managing linear assets, distributed networks, and regulated infrastructure.

Pricing: Custom enterprise pricing. Contact Bentley for quotes.

Deployment: Bentley-hosted cloud or on-premise

Key differentiator: Asset information management (ALIM) and reliability analytics on one foundation, from engineering records through operations

7. Honeywell Forge — Best for Multi-Site Industrial Operations

Honeywell's APM software is now sold by Honeywell Technologies (Nasdaq: HON), the pure-play automation company that launched on June 29, 2026, when Honeywell completed the spin-off of Honeywell Aerospace (Nasdaq: HONA). Solstice Advanced Materials had separated in October 2025. Honeywell Technologies runs three businesses, Building Automation, Industrial Automation, and Process Automation & Technology, and describes Honeywell Forge as its intelligence layer.

The APM offering launched in November 2022 as Honeywell Forge Performance+ for Industrials | Asset Performance, a cloud-native application that monitors assets in real time with predictive models and estimates time to failure. Honeywell's current asset management page describes it in terms of outcomes: unify data across assets, systems, and sites; analyze asset health in near real time and historically with predictive analytics for early alerts; and run predictive maintenance that automates work orders, at one site or across a global portfolio. Honeywell's product documentation names SAP PM and IBM Maximo as CMMS connections and lists DCS and PLC data, historians, LIMS, oil analysis, and vibration monitoring systems as inputs.

Honeywell does not currently publish a module list for Forge APM, and it has not published customer counts or results for it.

Best for: Multi-site industrial operations wanting asset health analytics and predictive maintenance across facilities, especially those running Honeywell process control infrastructure.

Pricing: Custom enterprise pricing. Contact Honeywell for quotes.

Deployment: Cloud (Honeywell cloud or the customer's cloud)

Key differentiator: Asset health analytics across a global portfolio, tied to Honeywell's process automation installed base

APM Software Comparison Table

Platform Best For Pricing Deployment ML/AI Key Integration
GE Vernova APM Power gen / heavy industry Custom (enterprise) SaaS (primary) + on-prem Yes: SmartSignal predictive analytics GE equipment, any CMMS via API
IBM Maximo Unified EAM + APM AppPoints; Essentials from under $40K/yr SaaS (AWS), client-managed cloud, on-prem Yes: Predict, Monitor, Visual Inspection Native EAM + IoT in one suite
AVEVA APM Process industries Custom (enterprise) Cloud + on-prem Yes: Predictive Analytics, CONNECT Industrial AI Assistant AVEVA PI System, SCADA, MES
SAP APM SAP environments Blocks of 100 objects/yr Cloud (SaaS) Yes: AI predictive maintenance, AI visual inspection Native S/4HANA and SAP ERP
Aspen Mtell ML predictive maintenance Custom (enterprise) Cloud + on-prem Yes: agent-based failure prediction, embedded FMEA EAM systems, Emerson AMS
Bentley AssetWise Infrastructure assets Custom (enterprise) Bentley-hosted + on-prem Yes: condition indicators, RBI/RCM analytics SAP, Maximo (ALIM); engineering data
Honeywell Forge Multi-site operations Custom (enterprise) Cloud Yes: predictive analytics, time-to-failure estimates DCS and historians; SAP PM, Maximo

How to Choose APM Software

  1. What industry are you in? Power generation points to GE Vernova. Process industries (oil and gas, chemicals) point to AVEVA or Aspen Mtell. Infrastructure points to Bentley. Multi-industry enterprises should look at IBM Maximo or Honeywell Forge.

  2. What ERP or EAM do you run? SAP S/4HANA users should evaluate SAP Asset Performance Management first. Maximo EAM users should evaluate Maximo Health and Predict as a unified suite. Everyone else should test API integration quality with their CMMS before signing; Bentley ALIM names SAP and Maximo connectors, Honeywell names SAP PM and Maximo, and GE Vernova and AVEVA connect to any CMMS through APIs.

  3. What data do you have? APM output depends on input data. Rich sensor data and historian infrastructure favor Aspen Mtell or AVEVA. Work order history and basic condition data favor GE Vernova or IBM Maximo, whose strategy and reliability modules work from criticality and failure history.

  4. Cloud or on-premise? SAP Asset Performance Management is SaaS only, Honeywell Forge is cloud, and GE Vernova is steering customers toward SaaS. IBM Maximo, AVEVA, Aspen Mtell, and Bentley offer on-premise or self-hosted options. Verify the on-premise path for any shortlisted platform that requires it.

  5. Do you need a price before you can start? Only IBM publishes starting prices (Essentials SaaS tiers from under US$40,000 per year). SAP publishes its metric (blocks of 100 objects per year) but no price. The other five quote.

  6. Start modular. Begin with asset health monitoring or predictive maintenance on 20 to 50 critical assets. Prove value within 12 months, then expand based on results.

APM vs. EAM vs. CMMS

A CMMS manages daily maintenance work: work orders, PM schedules, parts inventory, and labor tracking. It answers what maintenance needs doing today.

EAM extends the CMMS with lifecycle management: capital planning, depreciation, procurement, compliance, and multi-site portfolio management. It answers how assets are managed enterprise-wide.

APM optimizes maintenance strategy using analytics, condition data, and risk models. It answers which strategy suits each asset based on its condition, criticality, and risk.

Most organizations start with a CMMS, grow into EAM, and adopt APM once they have the data infrastructure and organizational readiness to move from calendar-based to condition-based and predictive maintenance. APM does not replace the CMMS or EAM. It feeds optimized strategies into the execution layer.

Related: Best CMMS Software for Maintenance Teams | Best ERP Systems for Manufacturing

Frequently Asked Questions

What is asset performance management (APM) software?

APM software uses sensor data, condition monitoring, maintenance history, and operational data to improve asset reliability and availability. It combines predictive analytics, risk assessment, health monitoring, and strategy optimization to prevent failures, extend asset life, and reduce maintenance costs. APM sits above the CMMS: the CMMS manages work orders and schedules, while APM determines the best strategy for each asset.

What is the best APM software?

The answer depends on industry, existing systems, and asset types. GE Vernova APM suits power generation and heavy industry. IBM Maximo Application Suite offers the most comprehensive unified EAM and APM suite, and the only published starting prices. AVEVA suits process industries built on the PI System and SCADA. SAP Asset Performance Management suits organizations running SAP S/4HANA. Aspen Mtell offers the deepest machine learning for predictive maintenance. Bentley AssetWise is strongest for infrastructure. Honeywell Forge serves multi-site operations on Honeywell process control.

How much does APM software cost?

APM is enterprise software, and six of the seven vendors here quote program pricing. IBM is the exception: Maximo Maintenance Essentials starts under US$40,000 per year as SaaS, and Inspection Essentials under US$47,000, with the Standard and Premium editions that carry the full APM applications quoted. SAP licenses Asset Performance Management in blocks of 100 objects per year and publishes no dollar figure. Costs scale with the number of monitored assets and the modules deployed. Budget separately for implementation and integration, which make up a large share of year-one spend, and plan a modular start.

What is the difference between APM and EAM?

EAM covers the operational side of assets: work orders, PM scheduling, spare parts, labor, and costs. It addresses how maintenance is executed. APM uses analytics, condition monitoring, risk assessment, and predictive models to determine what maintenance to perform, when, and why, aiming for maximum reliability at the lowest total cost. Many organizations use both, with APM setting strategy and EAM executing it. IBM Maximo Application Suite combines both in one suite, and SAP Asset Performance Management closes the loop with SAP EAM.

What is the difference between APM and CMMS?

A CMMS handles day-to-day operations: work orders, PM scheduling, parts inventory, and maintenance history. APM is a strategic layer that uses analytics and condition data to optimize strategies across an asset portfolio. A CMMS might schedule a pump seal replacement every six months. APM, analyzing vibration data, operating hours, process conditions, and failure history, might set that pump's service at eight months, or at three months if its conditions are more severe. APM then feeds those strategies into the CMMS for execution.

What industries use APM software?

The largest adopters are oil and gas (upstream, midstream, and downstream), power generation (thermal, nuclear, and renewables), utilities (electric, water, and gas), chemicals and petrochemicals, mining and metals, manufacturing (discrete and process), and transportation (rail, maritime, and aviation). The common factor is high-value assets where unplanned downtime costs tens of thousands to millions of dollars per event.

How does APM integrate with condition monitoring?

APM platforms ingest data from vibration sensors, oil analysis, thermography, ultrasound, and SCADA or historian process parameters. The analytics engine compares this data against baselines, historical patterns, and failure signatures to assess health and predict remaining useful life. When health drops below thresholds, APM can trigger actions in connected EAM or CMMS systems. More condition data yields more accurate predictions, so sensors and monitoring infrastructure are a prerequisite.

How do I get started with APM?

Begin with an asset criticality analysis to identify which assets justify APM investment. Focus first on 20 to 50 high-criticality, high-consequence assets. Confirm that reliable condition monitoring data (vibration, temperature, process parameters) is flowing from them. Choose a platform that integrates with your CMMS or EAM. Deploy one or two modules first, most commonly asset health monitoring or predictive maintenance. Run a 12-month pilot with KPIs for reduced unplanned downtime, increased mean time between failures, and avoided failure events. Scale based on results.

Sources & References

This guide is updated quarterly. Last review: October 2026. View all Reliable guides.