Top 10 Best Energy Monitoring Software of 2026

EcoStruxure Power Monitoring Expert is a comprehensive enterprise-grade software solution from Schneider Electric designed for real-time power monitoring, energy management, and electrical asset optimization. It provides detailed dashboards for energy consumption, power quality analysis, demand forecasting, and compliance reporting across large-scale facilities. The platform integrates seamlessly with IoT devices, meters, and SCADA systems, enabling proactive maintenance and significant energy cost savings.

EnergyCAP is a robust energy management platform specializing in utility bill tracking, automated data validation, and comprehensive energy accounting for commercial and industrial users. It enables organizations to monitor consumption across multiple sites, identify cost-saving opportunities through benchmarking and analytics, and generate detailed reports for sustainability and compliance. With integrations for meter data, submetering, and third-party systems, it provides real-time dashboards and forecasting tools to optimize energy performance.

Lucid BuildingOS is a cloud-based platform specializing in building performance management, with core strengths in real-time energy monitoring, water usage, and emissions tracking across portfolios. It integrates with meters, BMS systems, and utility data via protocols like BACnet and Modbus, delivering dashboards, analytics, and automated fault detection to optimize efficiency. Users can benchmark performance, set energy targets, and generate ESG reports for sustainability compliance.

DEXMA is a cloud-based energy management platform specializing in monitoring and optimizing energy consumption across commercial, industrial, and multi-site buildings. It integrates with various meters and sensors to deliver real-time data visualization, AI-driven analytics, anomaly detection, and actionable insights for cost savings. The software supports multiple energy types including electricity, gas, water, and HVAC systems, enabling benchmarking and predictive forecasting.

Siemens Desigo CC is an enterprise-grade building management system (BMS) that provides advanced energy monitoring capabilities for commercial buildings and campuses. It tracks real-time energy consumption across HVAC, lighting, and other systems, offering analytics, dashboards, and reports for optimization and cost reduction. The platform integrates with IoT devices and Siemens hardware to enable predictive insights and fault detection diagnostics.

Honeywell Forge Energy Optimization is a cloud-based AI-driven platform designed for monitoring and optimizing energy use in commercial buildings and industrial facilities. It integrates with IoT sensors and building management systems (BMS) to provide real-time visibility into energy consumption, detect faults, and recommend or automate optimizations. The software leverages machine learning for predictive analytics, helping users reduce costs, emissions, and operational inefficiencies across portfolios.

Johnson Controls Metasys is a robust building automation system (BAS) platform designed for energy monitoring and management in commercial, industrial, and institutional facilities. It integrates with HVAC, lighting, metering, and other building systems to deliver real-time energy consumption data, trend analysis, and optimization tools. The software provides customizable dashboards, reporting, and fault detection diagnostics (FDD) to help reduce energy costs and enhance sustainability efforts.

CopperTree Analytics is a cloud-based energy management platform designed for commercial buildings, utilizing AI and machine learning to analyze data from building management systems (BMS). It provides fault detection and diagnostics (FDD), energy optimization recommendations, and predictive maintenance to reduce costs and improve efficiency. The software integrates seamlessly with existing HVAC, lighting, and metering systems for real-time monitoring and actionable insights.

Verdigris is an AI-powered energy monitoring platform that uses non-invasive sensors on electrical panels to provide granular, real-time insights into energy consumption across buildings. It employs machine learning to automatically disaggregate loads at the circuit level, detect faults, predict equipment failures, and optimize energy usage without the need for submetering. The solution targets commercial and industrial facilities, helping reduce costs, improve efficiency, and support sustainability goals.

Enertiv is an IoT-based energy monitoring platform designed for multi-tenant residential and commercial buildings, enabling real-time tracking of energy usage across HVAC, lighting, and other systems. It deploys wireless, battery-powered sensors that require no wiring or IT involvement for quick installation. The software provides AI-driven analytics, fault detection, and actionable insights to optimize energy efficiency, reduce costs, and lower emissions.