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Verdantix Green Quadrant Benchmark Highlights Leading Industrial CMMS Software Vendors Amid Rising AI And Mobile Expectations

Specialist Industrial Transformation Solutions
Blog
02 Jul, 2025

The global market for industrial computerized maintenance management systems (CMMS) continues to expand, as firms across asset-intensive industries seek to enhance uptime, increase efficiency and digitize core maintenance processes. Amid growing operational complexity and resource pressures, CMMS platforms continue to prioritize mobile-first interfaces – long a core requirement for field teams – while early-stage adoption of predictive analytics and AI copilots signals a gradual shift towards more intelligent, data-driven maintenance strategies.

In our 2025 Green Quadrant for industrial CMMS software, Verdantix independently benchmarked 19 prominent vendors across 12 capability and nine market momentum categories. The analysis highlights how leading providers are responding to user demands for integrated AI, configurable mobile apps and functionality that extends beyond traditional work order execution. Our analysis shows that:

  • AI integration and predictive maintenance is moving from aspirational to actionable.

    The study found that AI adoption in CMMS is no longer limited to early experimentation. Vendors such as Fracttal, MaintainX and Redlist are embedding generative AI copilots to assist with task scheduling, failure analysis and knowledge retrieval. Others, including eMaint and Fiix by Rockwell Automation, are layering predictive analytics into maintenance workflows through integration with sensor data and external monitoring platforms. While true predictive maintenance is still a roadmap goal for many, the use of AI for failure prediction and technician support is accelerating across mid- and enterprise-tier deployments.

  • CMMS platforms are expanding beyond maintenance to become operational nerve centres.
    Another trend emerging from the benchmark is the broadening use of CMMS software as a single source of operational truth for small to mid-sized firms. Some vendors are now offering embedded safety incident tracking, quality checks or compliance workflows – moving beyond just asset and work order management. Buyers in small and mid-market industrial firms can turn to CMMS to help unify operational data across maintenance, HSE and performance functions.
  • Mobile functionality and UX design are core competitive differentiators.

    Ease of use remains one of the most important criteria for CMMS buyers. Vendors continue to invest in unified mobile apps with offline support, simplified navigation and technician-focused features such as barcode scanning and AI-powered work order creation. Firms such as Limble, MaintainX and Upkeep are raising the bar for mobile-first design, giving teams in the field a faster, more reliable way to manage tasks.

  • Integration and modularity support long-term growth and ecosystem alignment.
    Integration maturity is another major differentiator. Buyers are prioritizing platforms that can easily connect to ERP, MES, SCADA and IoT systems. Top-scoring vendors – including Accruent, Eptura and ShireSystem by Elecosoft – offer pre-built connectors, open APIs or OEM partnerships that make cross-system data flow seamless. At the same time, vendors are shifting towards modular platforms that allow for phased implementation, helping firms align features with their current maintenance maturity, while enabling future expansion.

As the CMMS landscape grows increasingly sophisticated, buyers are demanding more than just digital work order tracking. They want intelligent systems that scale with operational complexity, support mobile workforces and deliver cross-functional insights. Our 2025 Green Quadrant provides a clear view of which vendors are best-positioned to support this next chapter of maintenance modernization.

For more information, read Verdantix Green Quadrant: Industrial Computerized Maintenance Management Systems (CMMS) (2025).

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Josh Graessle

Josh Graessle

Senior Analyst

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