Vertiv Announces New AI-Powered Predictive Maintenance Service for Modern Data Centers and AI Factories

Rhea-AI Summary

Vertiv (NYSE: VRT) on Jan 22, 2026 launched Vertiv Next Predict, an AI-powered managed service for predictive maintenance of data center power, cooling and IT systems. The service uses anomaly detection, predictive algorithms and root-cause analysis to anticipate issues, prioritize risk, deliver prescriptive actions and enable corrective work by Vertiv services personnel. Vertiv Next Predict supports a growing range of Vertiv platforms including battery energy storage solutions and liquid cooling, and is designed for scalable integration across distributed, AI-driven data centers as part of a unified grid-to-chip service architecture.

News Market Reaction

-0.19%

1 alert

-0.19% News Effect

On the day this news was published, VRT declined 0.19%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Service launch date: Jan. 22, 2026

1 metrics

Service launch date Jan. 22, 2026 Announcement date for Vertiv Next Predict AI-powered maintenance service

Market Reality Check

Price: $182.49 Vol: Volume 5,552,861 is 20% a...

normal vol

$182.49 Last Close

Volume Volume 5,552,861 is 20% above the 4,608,593 share 20-day average, indicating elevated interest ahead of this AI service launch. normal

Technical Price at $181.47 trades above the 200-day MA of $138.49 and is 10.36% below the 52-week high of $202.45, well above the $53.60 52-week low.

Peers on Argus

VRT gained 3.59% with elevated volume, while key peers like HUBB (+1.31%), NVT (...

VRT gained 3.59% with elevated volume, while key peers like HUBB (+1.31%), NVT (+2.13%), AYI (+0.22%), AEIS (+6.07%) and ENS (+2.24%) were positive but did not appear in the momentum scanner, suggesting a stock-specific response to Vertiv’s AI maintenance launch rather than a broad sector surge.

Historical Context

5 past events · Latest: Jan 14 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Jan 14	Product launch	Positive	-1.1%	New modular liquid cooling solution for high‑density AI and HPC workloads.
Jan 08	AI trend report	Positive	-6.3%	Vertiv Frontiers report outlining AI‑driven data center design trends.
Dec 04	AI acquisition	Positive	+2.0%	Completion of <b>$1.0 billion</b> PurgeRite deal expanding liquid cooling services.
Nov 18	AI collaboration	Positive	-1.1%	Energy optimization collaboration with Caterpillar for AI data centers.
Nov 14	Dividend increase	Positive	+4.5%	Raised annual dividend from <b>$0.15</b> to <b>$0.25</b> per share.

Pattern Detected

Recent news often skewed positive but price reactions have been mixed, with several AI and product announcements seeing short-term pullbacks despite constructive themes.

Recent Company History

Over the last few months, Vertiv has consistently expanded its AI and high‑density data center offerings. On Nov 14, 2025, it raised its annual dividend by 67%, with a 4.48% next‑day gain. Subsequent collaboration with Caterpillar on Nov 18, 2025 and a $1.0 billion PurgeRite acquisition on Dec 5, 2025 reinforced its liquid cooling and power portfolios. Early 2026 brought AI‑focused thought leadership and new modular liquid cooling launches, where shares sometimes dipped despite constructive positioning for AI workloads. Today’s AI‑powered maintenance launch extends this trajectory toward integrated AI infrastructure services.

Market Pulse Summary

This announcement adds an AI-powered predictive maintenance service to Vertiv’s portfolio, targeting...

Analysis

This announcement adds an AI-powered predictive maintenance service to Vertiv’s portfolio, targeting uptime and risk mitigation across power, cooling, and IT systems in AI-centric data centers. It follows recent AI infrastructure launches, collaborations, and a sizeable liquid cooling acquisition, reinforcing a strategy focused on high-density and AI workloads. Investors may watch adoption of Vertiv Next Predict, its integration with liquid cooling and energy solutions, and how these offerings support Vertiv’s positioning near its 52-week highs over time.

Key Terms

predictive maintenance, machine learning algorithms, anomaly detection, root cause analysis, +4 more

8 terms

predictive maintenance technical

"designed to deliver predictive intelligence across power, cooling, and IT systems"

Predictive maintenance involves using data and technology to monitor equipment or machinery in real time, identifying potential problems before they cause failures or breakdowns. By predicting when maintenance is needed, it helps prevent costly repairs and downtime. For investors, it highlights how companies can reduce expenses, improve efficiency, and maintain reliable operations, which can positively impact financial performance.

machine learning algorithms technical

"combines field expertise and advanced machine learning algorithms to anticipate issues"

Machine learning algorithms are computer programs that learn patterns from historical data to make predictions or decisions without following step-by-step human instructions; think of them as a teacher-trained assistant that recognizes trends and applies them to new situations. For investors, they matter because they can improve forecasting, automate trading, detect fraud, and personalize services—potentially boosting returns and cutting costs—while also introducing risks tied to data quality, model errors, and regulatory or transparency issues.

anomaly detection technical

"leverages AI-based anomaly detection to continuously analyze operating conditions"

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.

root cause analysis technical

"Root cause analysis then isolates the contributing factors to support efficient"

Root cause analysis is a systematic way to find the underlying reason a problem happened, not just its visible symptoms, so that effective fixes can prevent it from recurring. For investors, it matters because clear identification and correction of root causes reduces the chance of repeated losses, regulatory penalties, or reputational damage—think of it as finding the cracked pipe behind a flood instead of only mopping up the water.

battery energy storage solutions (BESS) technical

"including battery energy storage solutions (BESS) and liquid cooling components"

Large-scale battery energy storage systems are grid-connected arrays of rechargeable batteries and controls that store electricity when supply exceeds demand and release it when needed, like a giant rechargeable battery for a city or power network. They matter to investors because they enable more reliable power, help integrate intermittent renewable generation, create new revenue streams through services like peak-shaving and frequency support, and their economics, lifespan and contractbacking directly affect project returns.

liquid cooling technical

"including battery energy storage solutions (BESS) and liquid cooling components"

Liquid cooling is a method that uses a flowing liquid—like water or a special coolant—to carry heat away from electronic components, similar to how a car radiator moves heat away from an engine. For investors, it matters because it can lower energy and maintenance costs, enable higher-performance computing, reduce the footprint of data centers, and support sustainability targets, all of which can affect a company’s operating margins and capital spending needs.

grid-to-chip technical

"as part of a unified, grid-to-chip service architecture"

Grid-to-chip describes the full chain of electrical delivery and conversion from the power grid to a semiconductor chip — think of it as how much of the electricity drawn from the wall actually reaches and is useful to the chip. Investors care because losses along that chain raise operating costs, reduce device performance or battery life, and affect energy-related capital and regulatory risks; improving grid-to-chip efficiency is like tightening leaky pipes to lower bills and waste.

ai factories technical

"service for Modern Data Centers and AI Factories"

AI factories are organized platforms and processes that turn raw data and computing power into finished AI products and services at scale — think of them as automated assembly lines for machine intelligence. For investors, they matter because they concentrate the tools, data and infrastructure that speed up development, lower unit costs and make it easier to roll out new AI features, which can translate into faster revenue growth or cost savings for companies that operate them.

AI-generated analysis. Not financial advice.

Vertiv™ Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues before they occur.

COLUMBUS, Ohio, Jan. 22, 2026 /PRNewswire/ -- Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced the launch of Vertiv™ Next Predict, an AI-powered managed service that fundamentally transforms data center maintenance. Moving beyond traditional time-based and reactive models, the service industrializes operations by analyzing asset behavior before risks materialize. Vertiv Next Predict is the latest advancement in Vertiv's integrated AI infrastructure portfolio, designed to deliver predictive intelligence across power, cooling, and IT systems—creating a unified, resilient foundation for AI-driven data centers.

As AI workloads reshape the data center landscape, facilities require improved visibility and control across critical infrastructure to maintain operational continuity and performance at scale. Implementing advanced analytics and predictive maintenance strategies helps organizations address these challenges and maintain consistent performance across distributed environments.

"Data center operators need innovative technologies to stay ahead of potential risks, as compute intensity rises and infrastructures evolve," said Ryan Jarvis, vice president of the global services business unit at Vertiv. "Vertiv Next Predict helps data centers unlock uptime, shifting maintenance from traditional calendar-based routines to a proactive, data-driven strategy. We move from assumptions to informed decisions, by continuously monitoring equipment condition and enabling risk mitigation before potential impacts to operations."

Vertiv Next Predict leverages AI-based anomaly detection to continuously analyze operating conditions and identify deviations from expected behaviors at an early stage, and a predictive algorithm that assesses potential operational impact to determine risk and prioritize response. Root cause analysis then isolates the contributing factors to support efficient and targeted resolution. Based on system data and the specific operational context, prescriptive actions are defined and carried through to execution, with corrective measures performed by qualified Vertiv™ Services personnel.

Engineered for versatility and future growth, Vertiv™ Next Predict currently supports a broad and expanding range of Vertiv™ power and cooling platforms—including battery energy storage solutions (BESS) and liquid cooling components. More importantly, the service is designed with scalability in mind, to enable seamless integration with future data center technologies as part of a unified, grid-to-chip service architecture. This forward-looking approach means customers can adopt Vertiv Next Predict today, with the knowledge that it can evolve alongside their infrastructure needs.

The Vertiv Services organization has decades of service experience in critical digital infrastructure, a global network of Vertiv-trained technicians, and AI-powered analytics.

For more information about Vertiv Next Predict or Vertiv's end-to-end power and thermal management solutions—including Vertiv™ OneCore scalable prefabricated data center infrastructure solution, Vertiv™ SmartRun modular overhead IT infrastructure system and Vertiv's expanding portfolio for AI and high-density workloads—visit Vertiv.com.

About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.

Forward-Looking Statements
This release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27 of the Securities Act, and Section 21E of the Securities Exchange Act. These statements are only a prediction. Actual events or results may differ materially from those in the forward-looking statements set forth herein. Readers are referred to Vertiv's filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and any subsequent Quarterly Reports on Form 10-Q for a discussion of these and other important risk factors concerning Vertiv and its operations. Vertiv is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements, whether as a result of new information, future events or otherwise.

VERTIV MEDIA CONTACT:
Vertiv@RuderFinn.com

 

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SOURCE Vertiv Holdings Co

FAQ

What is Vertiv Next Predict and when was it announced (VRT)?

Vertiv Next Predict is an AI-powered managed predictive maintenance service announced on Jan 22, 2026 by Vertiv (VRT).

Which infrastructure does Vertiv Next Predict monitor for Vertiv (VRT)?

It monitors Vertiv power, cooling and IT systems, including battery energy storage and liquid cooling platforms.

How does Vertiv Next Predict identify and prioritize issues for data centers (VRT)?

The service uses AI-based anomaly detection, predictive impact scoring and root-cause analysis to prioritize risks and define prescriptive actions.

Will Vertiv Next Predict include hands-on service execution (VRT)?

Yes; prescriptive corrective measures are carried through to execution by qualified Vertiv services personnel.

Is Vertiv Next Predict designed to scale with future data center technologies (VRT)?

Yes; the service is engineered for scalability and seamless integration with future data center technologies as part of a unified architecture.