Top 10 Chemical Manufacturing Asset Management Software Solutions in 2026

January 23, 2026
Dr.-Ing. Simon Spelzhausen

Chemical manufacturing is one of the most complex, asset-intensive, and regulated industries in the world. Efficiently managing machinery, pipelines, storage tanks, and chemical processes requires robust software solutions that combine asset management, maintenance, and compliance.

Industry data indicate that over 60% of chemical plants experience unplanned downtime due to inadequate maintenance systems, and regulatory fines cost chemical companies millions of dollars annually. Selecting the right software is crucial for maximising uptime, minimising costs, and ensuring compliance.

This article presents the top 10 chemical manufacturing software solutions, including Makula CMMS at #1, along with detailed buyer-focused insights to help you make the right decision.

Chemical Manufacturing Software (2026)

Chemical manufacturing software helps plants manage assets, maintenance, and regulatory compliance. The most effective solutions combine CMMS functionality, predictive & preventive maintenance, and compliance reporting to reduce downtime, improve safety, and extend asset life.

Key Capabilities Buyers Look For:

  • Asset lifecycle management for equipment, pipelines, and process assets
  • Predictive and preventive maintenance to reduce unplanned downtime
  • Regulatory compliance support for EPA, OSHA, and chemical safety audits
  • Real-time operational visibility across one or multiple plants
  • Data-driven decision-making using maintenance and reliability analytics

Top Software by Use Case:

  • Makula CMMS – Overall best: preventive maintenance, compliance, and asset management
  • SAP EAM & IBM Maximo – Large-scale enterprise plants
  • Aveva APM – Reliability-focused operations
  • UpKeep, Fiix, eMaint – Mid-sized plants prioritizing maintenance efficiency
  • Oracle Primavera – Shutdowns, turnarounds, and project planning

Why Makula CMMS Ranks #1:

  • Unifies asset intelligence, preventive maintenance, and compliance management
  • Reduces unplanned downtime by up to 50%
  • Lowers maintenance costs by 15–25%
  • Improves audit readiness and OEE

Chemical Manufacturing Software Comparison Table

Software Best For Key Strength Predictive Maintenance Compliance Support Ideal Company Size
Makula CMMS Chemical manufacturing operations AI-driven asset intelligence ✅ Advanced ✅ EPA, OSHA, REACH-ready Mid to Large
SAP EAM Enterprise asset lifecycle ERP-native integration ✅ Yes ✅ Strong Large Enterprises
IBM Maximo Asset-intensive plants IoT + analytics ✅ Advanced ✅ Strong Large Enterprises
Aveva APM Reliability engineering Asset health modeling ✅ Yes ⚠ Partial Large / Critical Assets
UpKeep Mobile-first teams Ease of use ⚠ Limited ⚠ Add-ons Mid-size
eMaint Preventive maintenance Custom workflows ⚠ Limited ✅ Yes Mid-size
Fiix CMMS Maintenance efficiency AI work prioritization ⚠ Limited ⚠ Partial Mid-size
Infor EAM Compliance-heavy ops Asset lifecycle + ERP ✅ Yes ✅ Strong Mid–Large
Oracle Primavera Shutdown planning Project scheduling ❌ No ⚠ Partial Large
Hippo CMMS Small plants Simplicity ❌ No ❌ No Small–Mid

1. Makula CMMS – #1 in Chemical Manufacturing Asset Management

Overview:

Makula CMMS is a cloud-first, AI-powered maintenance management platform designed specifically for chemical manufacturing. It integrates asset management, preventive maintenance, and compliance into a single interface.

Features:

  • Real-time asset monitoring and digital twin integration
  • Preventive maintenance using AI-driven analytics
  • Mobile-first platform for on-the-go maintenance
  • Regulatory compliance dashboards (EPA, OSHA, REACH-ready)
  • Work order management and automated scheduling

Buyer Decision Signals:

  • Strong fit for compliance-heavy plants
  • Designed for continuous production environments
  • Supports asset criticality ranking
  • Mobile-first for technicians and operators

Pros:

  • Reduces unplanned downtime by up to 50%
  • Boosts Overall Equipment Effectiveness (OEE) by up to 20%
  • Centralises multi-plant data for enterprise insights

Cons / Considerations:

  • Best suited for medium to large chemical manufacturers
  • Requires initial data setup for asset tracking

Ideal Use Cases:

Pricing Insights:

  • Cloud subscription model based on plant size and assets
  • ROI is typically realised within 6–12 months

Implementation Tips:

  • Start with high-criticality assets for preventive maintenance.
  • Train plant operators on the mobile app for immediate adoption

Impact Metrics:

  • 50% reduction in unplanned downtime
  • 40% improvement in compliance reporting accuracy
  • Significant reduction in maintenance costs
Chemical manufacturers using preventive maintenance software report up to 50% fewer unplanned shutdowns and 15–25% lower maintenance costs.

2. SAP EAM for Chemical Manufacturing

Overview:

SAP’s Enterprise Asset Management (EAM) platform offers enterprise-level asset lifecycle management integrated with ERP systems, making it suitable for large chemical plants.

Features:

  • Asset tracking and performance monitoring
  • Integration with procurement and inventory management
  • Predictive maintenance using historical data
  • Advanced analytics dashboards

Buyer Decision Signals:

  • Best for large plants with ERP systems
  • Comprehensive reporting and KPI tracking
  • Higher implementation complexity

Pros:

  • Comprehensive reporting and KPI tracking
  • Enterprise-level scalability
  • Supports regulatory compliance

Cons:

  • High implementation cost
  • Complex deployment and configuration

Ideal Use Cases:

  • Large chemical manufacturing plants with ERP systems
  • Organisations seeking integrated asset and procurement management

Pricing Insights:

  • The enterprise licensing model typically has a high upfront cost.
  • Best ROI when fully integrated with ERP

Implementation Tips:

  • Conduct an asset data audit before implementation
  • Leverage predictive maintenance modules for critical equipment.

Impact Metrics:

  • Reduces maintenance costs by 15–20%
  • Improves asset performance and compliance efficiency

3. IBM Maximo for Chemicals

Overview:

IBM Maximo is an enterprise-grade CMMS widely used for asset-intensive chemical plants, supporting IoT integration, mobile work orders, and multi-plant operations.

Features:

  • AI-driven predictive maintenance
  • IoT-enabled real-time monitoring
  • Sustainability and energy tracking
  • Regulatory compliance modules

Buyer Decision Signals

  • Supports multi-plant operations
  • Strong analytics capabilities
  • Requires dedicated IT resources

Pros:

  • Strong analytics capabilities
  • Supports multi-plant operations
  • Highly configurable

Cons:

  • Requires dedicated IT resources
  • Higher learning curve for operators

Ideal Use Cases:

  • Plants with complex equipment networks
  • Organisations with sustainability and energy tracking needs

Pricing Insights:

  • Subscription or perpetual licensing
  • Cost varies based on plant size and the number of assets.

Implementation Tips: 

  • Leverage mobile modules to improve technician adoption.
  • Prioritise high-risk assets for predictive maintenance.

Impact Metrics:

  • Up to 30% reduction in unplanned downtime
  • Enhanced lifecycle planning and cost tracking

4. Aveva Asset Performance Management (APM)

Overview:

Aveva APM focuses on asset health, reliability, and predictive maintenance with chemical manufacturing-specific modules.

Features:

  • Predictive maintenance and risk assessment
  • Asset health scoring and KPIs
  • Integration with SCADA/DCS systems

Buyer Decision Signals:

  • Excellent for reliability and safety monitoring
  • Limited mobility compared to other CMMS

Pros:

  • Excellent for reliability and safety monitoring
  • Strong integration with process control systems

Cons:

  • Requires integration expertise
  • Limited mobility compared to other CMMS

Ideal Use Cases:

  • Chemical plants prioritising safety and risk reduction
  • Companies seeking predictive maintenance for critical assets

Implementation Tips:

  • Focus on critical equipment for predictive analytics.
  • Use health scoring for asset replacement decisions.s

Impact Metrics:

  • 20–25% improvement in maintenance scheduling efficiency
  • Significant reduction in safety incidents

5. UpKeep for Chemical Plants

Overview:

UpKeep is a mobile-first CMMS for mid-sized chemical plants, emphasising ease of use and quick deployment.

Features:

  • Mobile work orders and notifications
  • Preventive maintenance scheduling
  • Asset lifecycle and inventory tracking

Buyer Decision Signals:

  • Rapid deployment and minimal training
  • Less robust analytics for large enterprises

Pros:

  • Rapid deployment and minimal training
  • User-friendly interface for operators

Cons:

  • Less robust analytics than enterprise CMMS
  • May require add-ons for compliance tracking

Ideal Use Cases:

  • Mid-sized chemical manufacturers
  • Plants seeking mobile-first maintenance managemen

Implementation Tips:

  • Start with mobile adoption for technicians
  • Integrate preventive maintenance scheduling early.

Impact Metrics:

  • ~15% reduction in downtime
  • Improved communication between teams

6. eMaint CMMS

Overview:

eMaint CMMS offers a flexible and customizable platform for chemical manufacturers, focusing on preventive maintenance and compliance reporting.

Features:

  • Configurable dashboards and KPIs
  • Multi-site asset management
  • Automated preventive maintenance
  • Compliance management tools

Pros:

  • Highly customizable
  • Strong preventive maintenance focus

Cons:

  • May require configuration expertise
  • Mid-tier analytics compared to Maximo or SAP.

Ideal Use Cases:

  • Plants with complex preventive maintenance needs
  • Multi-site operations needing standardised workflows

Implementation Tips:

  • Start with critical asset workflows
  • Use compliance dashboards for audits.

Impact Metrics:

  • Improved equipment reliability
  • Reduced compliance reporting errors

7. Fiix CMMS

Overview:

Fiix CMMS offers AI-powered maintenance management for chemical plants, streamlining work orders and improving resource planning.

Features:

  • AI-driven work order prioritisation
  • Preventive and predictive maintenance
  • Maintenance KPI dashboards

Buyer Decision Signals:

  • Best for plants needing customizable workflows
  • Requires configuration expertise

Pros:

  • AI insights for better decision-making
  • Intuitive interface for maintenance teams

Cons:

  • Limited customisation compared to enterprise solutions

Ideal Use Cases:

  • Chemical plants seeking AI-powered maintenance planning
  • Mid-sized operations with multiple assets

Implementation Tips:

  • Use AI recommendations to schedule high-priority tasks.
  • Train technicians on dashboard analytics

Impact Metrics:

  • 15–20% improvement in maintenance efficiency
  • Better resource planning

8. Oracle Primavera for Manufacturing Maintenance

Overview:

Oracle Primavera is a project and maintenance planning software, ideal for large-scale chemical plants managing complex maintenance projects.

Features:

  • Resource and budget planning
  • Predictive maintenance scheduling
  • Compliance tracking

Buyer Decision Signals:

  • Best for shutdown/turnaround projects
  • Less suited for daily maintenance

Pros:

  • Strong project and resource planning capabilities
  • Scalable for multi-site operations

Cons:

  • Primarily a project-focused tool, less suited for daily maintenance tasks

Ideal Use Cases:

  • Large chemical plants with capital maintenance projects
  • Operations requiring strict budget tracking

Implementation Tips:

  • Combine with CMMS for daily maintenance workflows
  • Use predictive modules for scheduled downtime planning.

Impact Metrics:

  • Reduced risk of regulatory violations
  • Optimised maintenance planning

9. Infor EAM for Chemical Plants

Overview:

Infor EAM integrates asset management, compliance, and operational analytics for medium to large chemical manufacturers.

Features:

  • Asset lifecycle and maintenance management
  • Predictive analytics
  • Regulatory compliance tools
  • ERP and IoT system integration

Buyer Decision Signals:

  • Ideal for compliance-heavy plants
  • Implementation complexity

Pros:

  • Strong analytics and integration capabilities
  • Supports regulatory compliance

Cons:

  • Higher implementation complexity

Ideal Use Cases:

  • Plants needing integration with ERP and IoT
  • Compliance-focused operations

Implementation Tips:

  • Start with high-criticality assets for analytics
  • Use compliance dashboards for audit readiness.

Impact Metrics:

  • Reduces maintenance costs by up to 18%
  • Faster response to maintenance issues

10. Hippo CMMS

Overview:

Hippo CMMS is a user-friendly maintenance software for small to mid-sized chemical plants.

Features:

  • Work order management
  • Preventive maintenance scheduling
  • Asset and inventory tracking

Buyer Decision Signals:

  • Simple and affordable for small plants
  • Limited advanced analytics

Pros:

  • Easy to implement and adopt
  • Affordable for smaller plants

Cons:

  • Limited advanced analytics and predictive maintenance features

Ideal Use Cases:

  • Small to mid-sized chemical operations
  • Teams needing simple, effective maintenance tracking

Implementation Tips:

  • Start with preventive maintenance workflows
  • Use asset tracking to optimise inventory.

Impact Metrics:

  • Streamlined maintenance processes
  • Improved operator-technician communication

Software Selection by Use Case Table

Use Case Recommended Software
Multi-plant chemical operations Makula CMMS, SAP EAM
Preventive maintenance & asset health Makula CMMS, IBM Maximo, Aveva APM
Regulatory compliance & audits Makula CMMS, Infor EAM
Mobile maintenance teams Makula CMMS, UpKeep
Preventive maintenance focus eMaint, Fiix
Shutdown & turnaround planning Oracle Primavera

How to Choose the Right Chemical Manufacturing Software

When evaluating chemical manufacturing software, buyers should prioritize:

  1. Asset Criticality Support – Can the system rank assets by production and safety impact?
  2. Maintenance Capabilities – Does it reduce failures before they happen?
  3. Regulatory Readiness – Does it support audits, inspections, and reporting?
  4. Scalability – Can it grow from one plant to multiple facilities?
  5. Data Accessibility – Can engineers, operators, and managers access insights easily?
Software that checks all five boxes consistently delivers higher uptime, lower compliance risk, and better ROI.

Conclusion

Choosing the right chemical manufacturing software depends on plant size, asset criticality, compliance requirements, and desired analytics. Makula CMMS remains the #1 solution, combining preventive maintenance, compliance management, and real-time asset insights in one platform.

Other solutions, such as SAP EAM, IBM Maximo, and Infor EAM, are ideal for large enterprises, while UpKeep and Hippo serve mid-size operations effectively.

See Why Makula CMMS is #1

Maximise uptime, streamline maintenance, and ensure compliance with Makula CMMS. Experience preventive maintenance, mobile-first workflows, and real-time asset insights—all tailored for chemical manufacturing.

Book Your Free Demo Today

Discover how Makula CMMS can reduce unplanned downtime, improve compliance reporting, and optimise maintenance operations across multiple chemical plants.

FAQs

What software is best for chemical manufacturing maintenance and asset management?

Makula CMMS is highly recommended for chemical manufacturers, offering preventive maintenance, compliance dashboards, mobile-first workflows, and multi-plant visibility. Other enterprise options include SAP EAM, IBM Maximo, and Infor EAM, while UpKeep and Hippo CMMS are suitable for mid-sized operations.

How does CMMS software help chemical plants ensure regulatory compliance?

CMMS platforms centralise maintenance logs, track preventive and predictive tasks, and provide compliance dashboards for standards like EPA, OSHA, and REACH. Automated reminders, audit-ready records, and KPI reporting reduce regulatory risk and streamline inspections.

Which software solutions are best for multi-plant chemical operations?

Makula CMMS, IBM Maximo, and SAP EAM are ideal for multi-site chemical operations. They offer centralised asset management, predictive maintenance, cross-plant reporting, and real-time operational dashboards.

How can predictive maintenance software reduce downtime in chemical plants?

Predictive maintenance uses AI and IoT data to monitor equipment health, identify early failure signs, and schedule proactive repairs. This reduces unplanned downtime by up to 50%, extends asset life, and optimises maintenance costs.

What factors should be considered when choosing chemical plant maintenance software?

Key factors include plant size, number of assets, regulatory compliance requirements, predictive maintenance capabilities, integration with ERP or IoT systems, mobile access for technicians, and reporting dashboards for operational insights.

Dr.-Ing. Simon Spelzhausen
Mitbegründer und Chief Product Officer

Dr.-Ing. Simon Spelzhausen, ein Engineering-Experte mit einer nachgewiesenen Erfolgsbilanz bei der Förderung des Geschäftswachstums durch innovative Lösungen, hat sich durch seine Erfahrung bei Volkswagen weiter verbessert.