Spring Reactive Programming WebFlux —...
December 26, 2025
By Vishal Shah June 26, 2025
Enterprise Asset Management (EAM) is a centralized system used to manage an organization’s assets throughout their lifecycle — from acquisition and deployment to maintenance, optimization, and retirement.
Unlike basic asset tracking tools, EAM platforms support:
EAM is mission-critical for asset-intensive enterprises where downtime, safety, and compliance directly impact revenue.
Modern enterprises increasingly treat asset management as part of a broader AI-driven operations transformation, rather than a standalone maintenance system.
| System | Purpose | Best For |
|---|---|---|
| CMMS | Maintenance scheduling | Small–mid facilities |
| EAM | Full asset lifecycle management | Large enterprises, asset-heavy industries |
| ERP Asset Module | Financial asset tracking | Accounting & depreciation |
Enterprises typically use EAM integrated with ERP, not as a replacement. This ensures operational + financial alignment. This integration-first approach mirrors how other enterprise platforms manage real-time data, analytics, and decision systems.
A scalable EAM platform is built as a modular enterprise system that integrates operations, data, and intelligence. This architecture closely resembles other event-driven enterprise platforms where operational data flows continuously into analytics and optimization engines.
Modern EAM platforms increasingly integrate IoT sensors and AI models to move from reactive maintenance to predictive operations.
At scale, predictive maintenance initiatives are typically delivered as part of a structured enterprise AI platform.
| Implementation Type | Typical Cost (USD) |
|---|---|
| SaaS EAM (per site / per asset) | $5,000 – $40,000 / year |
| Custom EAM (MVP) | $40,000 – $100,000 |
| Enterprise EAM Platform | $100,000 – $400,000+ |
| AI / Predictive Maintenance Add-ons | $20,000 – $120,000 |
| Ongoing Support & Enhancements | $2,000 – $8,000 / month |
Costs depend on asset volume, integrations, compliance needs, and predictive maintenance complexity.
Written by Vishal Shah
Vishal Shah is a seasoned tech leader and AI enthusiast with 10+ years of experience in software development. Specializing in AI/ML and intelligent apps, he’s delivered impactful solutions across data visualization, enterprise search, and more.With expertise in Python, Django, Java, and CloudOps, Vishal is passionate about driving innovation and shaping the future of technology.
We design and build scalable EAM platforms integrated with ERP, IoT, analytics, and AI tailored for asset-intensive enterprises.
For 12+ years, Inexture has helped global enterprises design, build, modernize, and scale secure, high-performance digital platforms. We combine deep engineering expertise with cloud, enterprise systems, backend architecture, mobile, AI, and user centric design delivering solutions that make businesses future ready.