Top 10 Predictive Maintenance Software for Equipment Reliability
Equipment reliability is one of the biggest priorities for maintenance teams today. Unplanned downtime not only disrupts operations but also drives up operational and maintenance costs and impacts safety. To stay ahead, organizations are turning to advanced software that uses data and predictive analytics to sustain equipment reliability, thereby helping leaders make smarter decisions and keep assets performing at their best.
In this blog, we review the 10 best predictive maintenance software solutions that are leading the way in reliability. From integration capabilities to ease of use, these platforms offer practical tools to strengthen maintenance strategies and deliver measurable results.
1. Zapium
Zapium is a cloud-based predictive maintenance management platform that uses IoT data, machine learning, and real-time data analytics to enable predictive maintenance for distributed assets and critical infrastructure.
Unique Features:- Leveraged advanced predictive analytics where it applies real‑time IoT sensor data and machine learning to detect anomalies and predict equipment failures before they occur.
- Automated alerting via email, SMS, and app notifications with priority‑based categorization for maintenance teams.
- Provides diagnostic insights and root‑cause analysis to understand why a deviation occurred and suggests actionable maintenance steps.
- Digital checklists, live performance dashboards, and automated work order creation based on conditions and usage data.
- G2: 4.9 / 5
- Capterra: 4.8 / 5
- Enables early fault detection using live sensor data, helping teams act before failures disrupt operations.
- Improves maintenance decision-making through clear diagnostics and root-cause insights rather than raw alerts alone.
- Scales well for geographically distributed assets, offering centralized visibility across multiple sites.
- Supports better resource planning by prioritizing maintenance tasks based on risk and asset condition.
Pricing differs across four tiers: Essential, Professional, Business, and Enterprise. Annual plans include discounts, and demos are required for quotes.
Support:Support is provided through standard channels such as email and in‑app support, with additional assistance available for enterprise customers.
Integration:Offers API access and native integrations with common business systems, ERP platforms, QuickBooks Online, and external IoT/sensor platforms.
Best For:Companies managing critical infrastructure or distributed assets that want a comprehensive, easy‑to‑use predictive maintenance system with strong IoT and analytics capabilities.
2. IBM Maximo
IBM Maximo is an enterprise‑grade enterprise asset management (EAM) platform that includes a predictive maintenance module (Maximo Predict) using AI and IoT data to forecast failures and optimize asset lifecycle management.
Unique Features:- Leverages IBM Watson AI for anomaly detection, failure prediction, and automated diagnostics.
- Full asset lifecycle management with work orders, asset tracking, parts/inventory, and compliance/audit trails.
- G2: 4.4 / 5
- Capterra: 4.2 / 5
- Strong scalability and flexibility to customize modules, asset hierarchies, and business rules.
- Backed by IBM’s global support and industry reputation, giving confidence for critical deployments.
Pricing varies from plan to plan. Essentials cost around USD 3399 for up to 25 users. In the Standard plan, it is USD 7911 for 5 concurrent users and 5 authorized users. For Premium, there is a custom pricing plan.
Support:Offers comprehensive global support through IBM’s support network, including dedicated consultants, documentation, and customer success resources.
Integration:Integrates deeply with other IBM products and standard enterprise systems (ERP, SCADA, MES, etc.)
Best For:Large, asset‑heavy organizations in energy, utilities, transportation, and manufacturing that need a robust, customizable EAM platform with embedded predictive maintenance.
3. eMaint
eMaint (now part of Fluke) is a cloud‑based CMMS that supports predictive maintenance through condition‑monitoring integration, work order management, and asset performance analytics.
Unique Features:- Strong integration with condition‑monitoring technologies (vibration, thermography, oil analysis) to feed predictive data into maintenance workflows.
- Comprehensive work order and preventive maintenance scheduling tied to usage and asset runtime.
- G2: 4.5 / 5
- Capterra: 4.4 / 5
- Offers strong reporting and analytics for maintenance KPIs and compliance.
- Cloud‑based, so it is accessible and scalable for multi‑site operations.
Team plan comes at $69, Professional costs $85, and for Enterprise you need to seek a custom quote.
Support:Support is provided through Fluke/eMaint’s support team, including phone, email, online resources, and training programs.
Integration:Integrates with ERP, accounting, and other enterprise systems via APIs; also connects with Fluke condition‑monitoring hardware and third‑party sensors.
Security:Uses standard cloud security including encryption, access controls, and regular audits; complies with applicable data protection standards for enterprise customers.
Best For:Manufacturing companies that want a solid, condition‑monitoring‑enabled CMMS.
4. Tractian
Tractian is an IoT‑first predictive maintenance platform that combines wireless sensors, edge computing, and a cloud CMMS to detect equipment faults and automate maintenance actions.
Unique Features:- Uses proprietary wireless sensors (vibration, temperature, current) with edge processing to detect anomalies and predict failures on motors and rotating equipment.
- Real‑time alerts and prioritized work orders triggered directly from sensor data.
- G2: 4.7 / 5
- Capterra: 4.8 / 5
- Simple, fast deployment without complex wiring or extensive IT involvement.
- Combines predictive insights with a lightweight CMMS, so maintenance teams can act immediately.
Plans begin at $60 per user per month, with enterprise pricing available from $100 per user per month when billed annually
Support:Support is offered through dedicated customer success managers, technical support, and online resources tailored to manufacturing and industrial customers.
Integration:Provides APIs and connectors for ERP, production systems, and existing CMMS/EAM platforms.
Security:Data is encrypted in transit and at rest; sensors and platform follow industrial security practices with access controls and secure cloud hosting.
Best For:Manufacturing and industrial facilities that need fast, reliable predictive fault detection on motors and rotating equipment, especially where quick IoT deployment is key.
5. Fiix
Fiix (now part of Rockwell Automation) is a cloud‑based CMMS that supports predictive maintenance through integration with IoT sensors, reliability-centered maintenance (RCM), and maintenance analytics.
Unique Features:- Integrates with IoT sensors and condition‑monitoring systems to bring predictive data into the CMMS for work orders and PMs.
- Strong focus on reliability and asset performance management, including RCM and root‑cause analysis workflows.
- G2: 4.6 / 5
- 4.5 / 5
- Strong integration with reliability practices, helping teams move from reactive to predictive/reliability‑based maintenance.
- Cloud‑based, so it supports multi‑site operations and remote access for distributed teams.
The platform provides four subscription tiers: Free, Basic, Professional, and Enterprise. The Free plan includes up to 25 active PMs, while Basic is priced at $45 per user per month and Professional at $75 per user per month. Enterprise follows a custom pricing model and requires a demo request.
Support:Support includes phone, email, online resources, and training, with enhanced options for enterprise customers through Rockwell Automation.
Integration:Integrates with ERP, MES, SCADA, and IoT platforms via APIs.
Security:Follows enterprise cloud security practices, including encryption, access controls, and compliance with relevant standards.
Best For:Large organizations in oil & gas, manufacturing, and heavy industry that need a scalable, reliability‑focused CMMS with predictive maintenance capabilities.
6. SAP Predictive Maintenance
SAP Predictive Maintenance and Service (PdMS) is an SAP‑native solution that uses IoT data, machine learning, and SAP’s analytics to predict equipment failures and optimize maintenance within the SAP ecosystem.
Unique Features:- Deeply integrated with SAP S/4HANA and SAP ERP, so maintenance is tightly linked to orders, logistics, and finance.
- Uses real‑time sensor data and machine learning models to forecast failures and suggest maintenance actions.
- G2: 4.2 / 5
- Capterra: NA
- Strong in large, distributed environments with complex asset fleets and service operations.
- Enterprise‑grade scalability and support for global, multi‑language/multi‑country deployments.
There are two ways to buy it – as a customer and as a partner. For both pricing differs based on the features availed.
Support:Support is provided through SAP’s global support network, including SAP support, partners, and dedicated consultants for deployment and troubleshooting.
Integration:Native integration with SAP ERP/S4HANA, CRM, and Supply Chain.
Security:Follows SAP’s enterprise security model with role‑based access, encryption, and compliance with major data protection standards.
Best For:Large enterprises already on SAP ERP/S4HANA that want predictive maintenance tightly integrated with their core business processes.
7. MaintainX
MaintainX is a mobile‑first CMMS that supports preventive and predictive maintenance through digital work orders, checklists, and integration with IoT/condition data.
Unique Features:- Digital checklists, procedures, and SOPs that can be tied to asset conditions and usage triggers.
- Integrations with IoT and condition monitoring to trigger work orders based on sensor readings.
- G2: 4.8 / 5
- Capterra: 4.8 / 5
- Enables quick rollout across multiple sites with minimal training.
- Supports condition‑based triggers, helping shift from reactive to predictive approaches.
The pricing lineup includes a free Basic plan, an Essential plan priced at $20 per user per month, and a Premium plan at $65 per user per month with annual billing. An Enterprise plan is also available with custom pricing.
Support:Support includes email, phone, knowledge base, and training resources.
Integration:Integrates with common business systems, accounting software, and ERP platforms via API.
Security:Data is stored in secure cloud environments with encryption, access controls, and regular security audits.
Best For:Organizations with distributed teams and many locations that need a simple, mobile‑optimized CMMS for maintenance and want to gradually add predictive capabilities.
8. Limble
Limble is a cloud‑based computerized maintenance management system (CMMS) designed for asset and maintenance management, with strong support for preventive maintenance and integration with IoT/ERP systems to enable predictive approaches.
Unique Features:- AI‑powered preventive maintenance that scans asset manuals to automatically generate PM tasks tailored to asset type, usage, and environment.
- Fully automated PM scheduling based on time intervals, usage meters (e.g., run hours), or condition‑based triggers from connected systems.
- G2: 4.8 / 5
- Capterra: 4.8 / 5
- Very simple and intuitive interface, with a low learning curve that reduces training time for maintenance teams.
- Mobile‑first design allows technicians to work efficiently on-site, recording work orders, parts usage, and asset conditions in real time.
Costs differ across plans, and each of the three options – Standard, Premium+, and Enterprise – includes an integrated pricing calculator.
Support:Support includes phone, live chat, tickets, and training resources
Integration:Limble offers API access and integration capabilities with ERP systems, accounting software, and external IoT or condition‑monitoring platforms.
Security:Supports SOC 2 Type II compliance, encrypted backups, and robust access controls.
Best For:Mid‑size to large organizations in manufacturing, utilities, facilities, and multi‑site operations.
9. Upkeep
UpKeep is a modern, mobile‑first computerized maintenance management system (CMMS) designed for facility, maintenance, and asset management, with strong support for preventive maintenance and integration with IoT/predictive tools.
Unique Features:- Mobile‑first interface with real‑time work order creation, assignment, and status tracking.
- Built‑in predictive maintenance support that connects with IoT sensors and edge devices
- G2: 4.5 / 5
- Capterra: 4.6 / 5
- Very intuitive and easy to adopt, reducing training time and speeding up rollout for maintenance teams.
- Strong mobile capabilities allow technicians to work efficiently in the field with real‑time updates, notifications, and offline access.
Four subscription options are available – Essential ($20 per user per month), Premium ($55 per user per month), along with Professional and Enterprise plans that follow a custom pricing model.
Support:Support is available via email, phone, and online help resources (knowledge base, video guides, and community forums) tailored for both new and advanced users.
Integration:Offers a wide range of integrations with popular business systems, including ERP, accounting, procurement, and service platforms, via native connectors and APIs.
Security:Data is stored in secure cloud environments with encryption, access controls, and regular security audits in line with standard SaaS practices.
Best For:Maintenance and facilities teams in manufacturing, commercial real estate, education, and multi‑site maintenance operations.
10. Augury
Augury is a machine health and AI‑powered predictive maintenance platform that combines wireless sensors, IoT data, and artificial intelligence to monitor equipment health, predict failures, and prescribe corrective actions in industrial environments.
Unique Features:- Uses proprietary wireless sensors (vibration, ultrasonic, temperature) to continuously monitor equipment 24/7 and capture high‑fidelity data on mechanical conditions.
- Applied purpose‑built AI trained on a large industrial machine‑health dataset to detect subtle anomalies and predict specific failure modes (e.g., bearing wear, lubrication issues, imbalance).
- G2: 4.8 / 5
- Capterra: NA
- Helps bridge the reliability skills gap by providing expert‑level diagnostics and recommendations.
- Scales from a few critical assets to full‑plant coverage with a unified Machine Health 360° approach.
Need to get a quote to get actual pricing details.
Support:Support includes dedicated customer success managers, onboarding assistance, and ongoing technical and reliability expert support to interpret insights and act on recommendations.
Integration:The Machine Health platform provides APIs and integrations to connect with existing CMMS/EAM systems, ERP, MES, and SCADA platforms.
Security:Augury follows industrial cybersecurity best practices appropriate for OT/IT environments.
Best For:Mid‑size to large industrial manufacturers that need an advanced, AI‑driven machine health solution.
Best Practices to Choose Predictive Maintenance Software
Selecting the right predictive maintenance software goes beyond feature lists. A few practical considerations can help narrow down options that truly fit operational realities.
- Align with asset criticality
Focus on platforms that perform well on the assets that matter most—high-value, high-risk, or failure-prone equipment—rather than generic coverage.
- Data source compatibility
Check how well a predictive maintenance solution works with existing sensors, PLCs, SCADA systems, and condition-monitoring tools. Smooth data ingestion reduces setup friction.
- Actionable insights over raw alerts
Preference should go to tools that provide diagnostics, failure modes, and recommended actions instead of overwhelming teams with alarms.
- Scalability and deployment effort
Consider how easily the solution scales from pilot assets to multi-site operations without heavy IT overhead.
- Integration with maintenance workflows
Tight linkage with CMMS/EAM systems helps convert predictions into work orders, schedules, and parts planning.
- Usability for maintenance teams
Interfaces should support technicians and planners with clear dashboards, mobile access, and minimal training requirements.
- Vendor support and domain expertise
Strong onboarding, industry knowledge, and ongoing support often make the difference between adoption and shelfware.
To Conclude
Each solution discussed in this list addresses predictive maintenance from a different angle, shaped by asset types, deployment models, and operational maturity. The increasing adoption of predictive maintenance software across asset-intensive industries continues to fuel market growth, with the global predictive maintenance market projected to reach USD 98.16 billion by 2033, expanding at a CAGR of 27.9%.
The most effective outcomes come from selecting a predictive maintenance tool that aligns with asset criticality, existing systems, and the way maintenance teams actually work on the ground. To translate predictive maintenance from a concept into a dependable part of daily operations, a deliberate and fit-for-purpose selection approach is essential.
