peterindia.netIntelligent Asset Management
Software that uses AI, IoT data and analytics to monitor, maintain and optimise physical assets such as equipment, plant and rail infrastructure: enterprise suites, maintenance platforms, asset tracking and industry-specific solutions.
SAP's set of cloud offerings for enterprise asset management, with a shared asset data foundation, sensor data and AI for maintenance and reliability.
Best for: SAP-centred asset-intensive businesses.
Visit SAP Intelligent Asset Management →IBM's unified asset and facilities management suite, covering enterprise asset management, asset performance management with predictive insights, and AI-driven maintenance optimisation.
Best for: Large, asset-intensive organisations.
Visit IBM Maximo Application Suite →Wipro's offering for intelligent asset management, with digital twin and predictive maintenance capabilities, alongside services for SAP Intelligent Asset Management.
Best for: Outsourced and SAP-based asset programmes.
Visit Wipro Intelligent Asset Management →A cloud-based, mobile-first maintenance management (CMMS) platform for work orders, assets, inventory and IoT monitoring, with AI-powered automation.
Best for: Maintenance teams that want a cloud CMMS.
Visit Fracttal One →A cloud platform that combines enterprise asset management, IoT sensors, AI and environmental monitoring for physical assets and sustainability operations.
Best for: Regulated industries and facilities.
Visit Nextbitt →HCLTech's Intelligent Asset Tracking and Management solution for onboarding assets, running inventory audits and tracking asset location with IoT.
Best for: Tracking and auditing large asset inventories.
Visit HCLTech IoT WoRKS Asset (IATM) →Hitachi Rail's modular digital asset management platform for trains, signalling and infrastructure, with condition-based and predictive tools.
Best for: Railway operators and maintainers.
Visit Hitachi Rail HMAX →Rotork's cloud-based service for monitoring valves and intelligent actuators, using torque, temperature, vibration and event data to support predictive maintenance.
Best for: Plants with Rotork actuators and valves.
Visit Rotork Intelligent Asset Management (iAM) →IRISS's system for recording and tracking inspections of electrical equipment, using NFC asset tags on infrared windows and cloud synchronisation.
Best for: Electrical maintenance and inspection teams.
Visit IRISS E-Sentry Connect →eMoldino's software for tracking the usage and condition of manufacturing tools and moulds to forecast risks and support maintenance.
Best for: Manufacturers managing moulds and tooling.
Visit eMoldino Tooling Digitalization →Match your requirement to a starting point, then compare vendors.
| Standardise maintenance across plants | An enterprise suite such as SAP, IBM Maximo or a cloud platform |
|---|---|
| Smaller maintenance team | A cloud CMMS such as Fracttal or Nextbitt |
| Many assets to find and audit | IoT-based asset tracking and inventory audit |
| Asset-specific insight | A vendor service for your equipment, such as Rotork or Hitachi Rail |
| Electrical safety inspections | A system built for inspections, such as IRISS E-Sentry Connect |
| Media files, not machines | Digital asset management, a different category |
Neighbouring directories and hubs.
Quick answers.
Intelligent asset management software uses AI, machine learning, IoT data and automation to monitor and optimise physical assets, predicting performance, reliability and safety so maintenance can be planned instead of reactive.
Digital asset management (DAM) stores and distributes digital files such as images and video. Intelligent asset management looks after physical assets such as machines, vehicles and infrastructure. The names are similar but the products are different.
Enterprise asset management (EAM) covers the whole asset lifecycle, CMMS focuses on maintenance work orders, and asset performance management (APM) adds condition monitoring and predictive analytics. Intelligent asset management combines them with AI and IoT data.
They combine sensor and IoT readings, inspection records, maintenance history and business data from systems such as ERP, and use analytics to predict failures and prioritise work.
Check integration with your ERP and sensors, support for your asset types, predictive capabilities, mobile use for field teams, deployment options and total cost over the asset lifecycle.
The products come from the Intelligent Asset Management (IAM) Software market page on Gartner Peer Insights, checked on 6 October 2026. We kept the ten that are physical asset management products and linked each to its own site.