Top 10 Companies Providing Predictive Maintenance Solutions in 2026
"Factories once crippled by surprise outages now run like clockwork, with PdM platforms delivering the intelligence to stay ahead of every failure."
Over the years, predictive maintenance has shifted to AI-powered intelligence, preventing equipment failures before they fall into costly downtime. The global predictive maintenance market size, valued at $17.11 billion in 2026 is said to grow up to $97.37 billion by 2034, exhibiting a CAGR of 24.30% during the forecast period.
This will be fueled by AI, IoT sensors, machine learning, and edge computing that forecast failures 7-30 days ahead, slashing outages by 30%. The organizations that embrace predictive maintenance don't just cut costs, they fundamentally change how they operate, moving to actual foresight. Here are 7 companies that provide predictive maintenance solutions in 2026:
IBM Maximo Application Suite offers AI-powered monitoring, predictive maintenance, and reliability planning, available as SaaS or on Red Hat OpenShift, continuously assessing asset health, predicting risks, and applying the right maintenance strategy to prevent failures, reduce unplanned downtime, and improve reliability.
Its core predictive module, Maximo Predict, uses advanced AI and machine learning models that combine failure history, asset information, and real-time IoT sensor data to forecast failure dates, probability of failure, anomaly detection, and end-of-life curves. In June 2025, IBM launched Maximo Application Suite 9.1, introducing a generative AI assistant built on watsonx.ai that allows maintenance managers to query asset intelligence in plain English, without navigating complex screens or running manual reports.
Verified enterprise deployments include Downer Group, which uses Maximo as the single source of truth across 1,500+ rail carriages in Australia, and GRE, which uses Maximo to analyze sensor data from 188,000 assets globally for condition-based maintenance. IBM has been recognized as the #1 enterprise asset management platform by Gartner, IDC, and Arc Advisory Group, and holds the largest market share in Asset Life-Cycle Management applications according to IDC.
Uptake is a cloud-based platform for predictive analytics and asset performance management, offering Uptake Fleet for transportation and Uptake Fusion for OT data management on Microsoft Azure. Its platform features include anomaly detection, failure prediction, asset risk scoring, downtime and cost analysis, survival analysis, and prognostic maintenance recommendations, serving customers including BHE, the U.S. Marines, and the U.S. Army.
Uptake processes heavy equipment telemetry like mining trucks, locomotives, compressors via SaaS ML to forecast failures and optimize fleets in mining, rail, and energy. Uptake Fleet customers save an average of $2,400 per truck annually, with 12% savings in maintenance costs, 20% reduction in roadside breakdowns, and 8% increase in operational uptime.
A previous partnership with Platform Science extends Uptake's predictive analytics to some of the largest truck fleets in the country, enabling fleet managers to shift from calendar-based maintenance to dynamic predictive strategies. Uptake currently holds 91 patents.
Shift5, founded by former U.S. Army Cyber Command officers, is the observability platform for onboard operational technology (OT), enabling smarter, faster decisions through real-time data access, contextual insights, and actionable analytics at the edge for aerospace, rail, maritime, and defense.
Its Predictive Maintenance Module, leverages real-time onboard data to deliver actionable insights that help teams predict and schedule maintenance effectively, staying ahead of critical failures across transportation and defense assets. A survey of operators and maintainers across rail, aviation, and defense found that 66% experienced preventable fleet downtime due to a lack of effective predictive maintenance, and 77% agreed their current tooling failed to provide the visibility needed to address it.
Since its last funding round, Shift5 has secured major defense contracts, launched new capabilities including a GPS Integrity Module, and formed strategic partnerships with Boeing, Booz Allen Hamilton, Avionica, ForeFlight, and Amazon Web Services. In September 2025, board member Shannon Clark of Palantir noted the platform "translates seamlessly from high-stakes defense environments to essential commercial infrastructure."
Honeywell Forge is a future-ready IoT platform delivering AI-enabled applications and services for intelligent, efficient, and more secure industrial operations. Its predictive maintenance solutions span multiple industries.
Its Predictive Maintenance solution, Honeywell Forge Performance+ for Buildings encodes decades of building expertise, enabling users to remotely monitor near real-time asset values, pinpoint root causes, and remotely control equipment setpoints to resolve issues.
In aerospace, airlines using Honeywell Forge Connected Maintenance for APUs have experienced a 30–50% reduction in operational disruptions and a 10–15% reduction in costly premature removals, with 99% predictive accuracy and no-fault-found rates reduced to just 1.5%.
Augury provides IoT and cloud-based machine analytics and predictive maintenance solutions, serving industries including food & beverage, pharmaceutical manufacturing, consumer packaged goods, water & wastewater utilities, and facility management. The platform has analyzed over 500 million hours of machine data and generated an estimated $1 billion in customer value across more than 40 countries.
Its technology boasts 99.9% failure detection accuracy and a 5–20x ROI when deployed at scale. Customers include global manufacturers such as PepsiCo, DuPont, and Colgate-Palmolive. Since its last funding round in 2021, Augury has seen a five-fold revenue increase and tripled its number of $1M+ enterprise accounts.
In March 2025, Augury also launched the industry's first AI-driven predictive maintenance solution for ultra-low RPM machinery, equipment rotating as slowly as 1 RPM, expanding coverage to hundreds of additional asset types previously too complex to monitor.
C3 AI Reliability unifies data from various sources into a flexible data model for predictive analytics, scaling to thousands of assets and millions of models, with autogenerated failure mode identification to accelerate root cause analysis and maintenance scheduling. Its most landmark deployment is in defense.
The U.S. Air Force designated C3 AI's co-developed Predictive Analytics and Decision Assistant (PANDA) as its official system of record for Condition Based Maintenance Plus (CBM+) and predictive maintenance. The USAF contract ceiling has since been raised to $450 million through October 2029, with PANDA monitoring components on aircraft including the B-1B Lancer, C-5 Galaxy, KC-135 Stratotanker, C-17 Globemaster III, and C-130J Super Hercules.
In the industrial sector, C3 AI Reliability has been scaled across 45 of Holcim's global cement plants, monitoring 3,000 sensors from critical equipment as part of Holcim's Plants of Tomorrow digital transformation initiative. C3 AI's CTO Ed Abbo stated the PANDA program "may be the largest production AI deployment in the U.S. DoD today," with the potential to increase aircraft availability by up to 25%.
LLumin's CMMS+ is an advanced predictive maintenance solution built for facilities across industries including industrial plants, fleet management, and healthcare, using machine-level sensors, IoT, and machine learning algorithms to analyze large amounts of data and reveal highly accurate insights into equipment and facility performance.
The platform reduces plant downtime by 40% within a year of integration and improves customers' mean time to repair (MTTR) scores by 20% within 24 months of implementation. In January 2026, LLumin announced its CMMS+ is now available on the SAP Store, integrating with SAP Business One and SAP S/4HANA, automating the condition-to-resolution workflow where an asset's actual health automatically triggers the necessary labor and part requisitions within the SAP ecosystem.
Verified customers include SunnyD, Canisius College, and TenCate, with users citing LLumin's customizability and real-time asset visibility as key differentiators.