Verdantix Green Quadrant Names Leading Asset Performance Management Solutions, As Firms Are Forced To Operate With Greater Agility In Unpredictable Market Conditions

London, UK. Industrial organizations are increasingly relying on software to protect uptime and sustain performance in the face of workforce gaps, ongoing supply chain disruption and unpredictable cost pressures. In this context, asset performance management (APM) solutions are proving to be vital tools, driving a transition from reactive maintenance to risk-based asset strategies, powered by predictive analytics and digital workflows that reduce failures, improve efficiency and deliver business value.

Fuelled by increasing demand for operational agility, the APM software market is set to reach $8.6 billion by 2031, according to Verdantix. Firms are seeking to respond more effectively to volatile market conditions by improving asset reliability and availability, optimizing maintenance with constrained resources, lowering costs, and reducing energy consumption and emissions. As a result, software providers are moving beyond diagnostics towards action-oriented platforms that enable automated, collaborative and outcome-driven operations.

APM vendors are differentiating through AI-powered decision support, improved usability, deeper industry specialization, and enhanced data management that simplifies integration across industrial systems. To mitigate workforce skills gaps and knowledge loss, many are embedding digital workflows and physics-based asset models and prescriptive analytics, to deliver actionable insights at scale. As competition intensifies, strong positioning in AI, asset expertise and industry focus are becoming essential to winning market share.

The Verdantix Green Quadrant: Asset Performance Management (APM) Solutions (2026) report provides maintenance, operations, reliability and asset integrity leaders with essential insights to select the best-fit APM software. The report highlights 19 of the most prominent software solutions in the market, with eight firms – ABB, AVEVA, C3 AI, Emerson (Aspen Technology), GE Vernova, Honeywell, IBM and SymphonyAI – demonstrating market-leading capabilities.

Key report findings:

• Industrial firms continue to face persistent challenges around efficiency, asset reliability and maintenance performance. Leading vendors such as AVEVA, Emerson (Aspen Technology), GE Vernova and Honeywell support these priorities with robust asset information management, predictive and reliability analytics, and maintenance strategy capabilities – enabling improved asset availability, higher throughput and more efficient operations.
  
  

• Vendors are increasingly using AI to move APM from insights-based to action-oriented, with a growing number of AI‑native players gaining traction in the market. Providers such as SymphonyAI and Yokogawa are advancing agentic AI approaches to deliver more proactive, and even autonomous APM capabilities.
  
• Labour shortages, skills gaps and the loss of institutional knowledge are increasingly constraining operational performance. Vendors such as C3 AI and UptimeAI help industrial firms digitize and scale expertise through guided workflows, analytics and decision support, with emerging agent-based approaches that continuously capture and apply operational knowledge – enabling teams to execute maintenance and risk detection activities more consistently across assets.
• Buyers are generating vast volumes of operational data and are increasingly seeking technologies that predict failures and identify preventative actions. Vendors such as ABB, IBM and Octave are centralizing asset and operational data to identify emerging failure patterns, giving organizations the foresight needed to intervene early and prevent escalation.

“APM software vendors are racing to embed AI into existing platforms without disrupting legacy investments, as faster‑moving firms redefine customer expectations around speed, usability and time-to-value,” said Sayanh Alam, Industry Analyst at Verdantix. “The market is moving beyond copilots toward agentic AI that connects asset insights to prioritize operational and maintenance decisions and drive action. Out-of-the-box capabilities, improved explainability and stronger data foundations are becoming key to building trust and delivering value, supported by industry partnerships. With competition intensifying, differentiation through AI maturity, deep industry specialization and clear positioning is now critical.”

To find out more, read the full report.