GE Vernova’s APM Strongly Positioned in Recent Gartner Market Guide

According to the recent Gartner® Market Guide for Asset Performance Management (APM) Software, analysts predict that legacy vendors face a potential gap in product capabilities for intelligent assets. Analysts also predict that “By 2027, 20% of asset-intensive organizations will leverage APM as a module, part of a larger suite offering of EAM, up from single-digit cases in 2024.”

On top of this, Gartner® also points to the emerging trends in APM that include:

Due to these trends, it’s becoming more and more evident why IT and C-Suite leaders should support the use of APM as a critical part of their operations technology stack. As a recognized vendor in the 2025 Market Guide, GE Vernova has a clear vision on how to support current and future APM use cases. Let’s take a look at how.

According to the Gartner® Market Guide, the definition and scope of APM for Maintenance and Reliability is inclusive of data ingestion, connectivity, predictive forecasting, reliability centered maintenance (RCM), and financially optimized maintenance. This also comes with the ability to push and pull that data into EAM systems to generate work orders, manage spare parts, and help to promote a more efficient operation.

In GE Vernova’s view, Asset Performance Management is also inclusive of much more. As a provider with deep OEM roots, a robust install base across asset-intensive industries, and more than 300 customers, APM is a process just as much as it is a software. Looking at the image below, the data from reactive maintenance, planned maintenance, and condition-based maintenance are just as important, if not more important than predictive forecasting. For APM, foundational elements need to be considered in order to perform advanced APM tasks.

To do APM effectively, organizations must also consider the following:

-   Asset Strategy and Criticality Analysis: Even before thinking about the ingestion of data for things like predictive maintenance, organizations need to focus on asset hierarchies, asset criticality rankings (what assets need what support), and then determine the best maintenance strategy based on the criticality.

-   Work Process Discipline: As part of an APM program, organizations should also have a strong process for preventative maintenance, condition-based monitoring, and failure reporting (root cause analysis, RCM, FMEA).

-   Risk Management: For many industries, predictive maintenance is not enough. Organizations need to consider how risked-based inspection (RBI) and asset lifecycle analysis fit within an APM program.

-   Governance: Moving directly to predictive can limit the ability of an organization to build the proper operational muscle to effectively do APM.

In this Market Guide, GE Vernova’s APM earned recognition in asset risk management, asset strategy management, reliability centered maintenance, predictive maintenance, asset health, and condition-based maintenance. However, in a crowded field, it’s important to highlight the proven functionality in those spaces.

-  Asset Risk Management : From Gartner®, this is defined as the ability to provide Weibull Analysis, Risk-based inspections, fault tree analysis, and other risk mitigation aspects. Today, GE Vernova’s APM offers APM Strategy, APM Reliability, and APM Integrity to help organizations manage asset risk.
-  Asset Strategy Management: Gartner® defines this as the ability to collect and aggregate EAM data, perform mechanical integrity workflows, and provide safety integrity levels. Built on a microservice-based platform (Essentials), GE Vernova’s APM provides out-of-the-box EAM connectivity, APIs and other tools to ingest and manage EAM data. With APM Integrity and APM Safety, organizations are able to perform required integrity and safety workflows to support efficient operations.
-  Reliability Centered Maintenance: Gartner® defines this as the ability to aggregate EAM data, perform root casus analysis, and provide failure mode libraries and FMEA. With GE Vernova’s APM, users have access to a robust RCM workflow that includes industry specific failure mode libraries, comprehensive RCA tools with prescriptive recommendations and the ability to leverage Policies across workflows to automate certain elements like work order creation.
-  Predictive Maintenance: Gartner® defines this area as having the ability to do statistical modeling, neural network analysis, machine learning, proprietary modeling and Monte Carlo simulations. Starting with our Essentials platform, GE Vernova provides organizations with a central modeling functionality that includes digital twin blueprints, ability to bring your own models, and no code modeling functionality. GE Vernova’s APM Reliability application also provides the ability to perform Monte Carlo simulations to support reliability workflows.
-  Asset Health: Gartner® defines asset health more generally. GE Vernova views asset health as the ability to perform monitoring of assets based on their defined criticality. With APM Health, users can generate health indexes for assets at scale, add a mobile application in Rounds Pro to collect operator images and readings, and also calibrate reading equipment to gain more accurate measurements. Together, this creates a full view of Asset Health which can benefit from the addition of AI solutions such as Autonomous Inspection to remotely monitor changes via fixed or robotic camera image ingestion.
-  Condition-based Maintenance: Gartner® defines this as the ability to ingest data the Edge, perform near real-time analytics, generate dashboards, and generate work orders. Built on a scalable platform, GE Vernova’s APM provides a single location for users to develop dashboards, ingest Edge data, manage data, and ultimately perform near real-time analysis. To support condition-based use cases, GE Vernova’s APM provides the ability to develop your own models, APM Health for creation of Health Indexes, Rounds Pro for mobile data collection, APM SmartSignal for anomaly detection & prediction, and Autonomous Inspection for image analytics—providing a true end-to-end condition-based maintenance offering.

For readers, here are a few resources to help cut through the noise on capabilities.

In this Market Guide, Gartner® also points to the APM market evolving in four key areas:

As a leader in Asset Performance Management (APM), GE Vernova sees the shifts occurring in the market similarly. GE Vernova also works closely with customers to prepare for the future of software and emerging requirements. Below is a quick overview on GE Vernova’s approach to supporting these four areas:

The Gartner® Market Guide for Asset Performance Management software gives organizations and its leaders a strong view of the market, emerging trends, and buying parameters to consider. While GE Vernova’s APM has been deployed across industries for years and often seen as a “legacy APM” provider—that couldn’t be further from the truth.

Over the course of the last few years, GE Vernova has not only enhanced core APM applications but have developed a true microservice platform in which organizations can scale and build. Today, GE Vernova and its experts are working directly with customers around the globe on the next generation of APM and are excited to continue to share with the market how we are meeting the moment.