Energy and utility analytics involves the use of advanced data analytics, AI, and machine learning to optimize energy consumption, enhance operational efficiency, and reduce costs in utility sectors. By analyzing data from smart grids, meters, and sensors, organizations can predict demand, detect anomalies, and improve resource allocation. The market is driven by the growing adoption of renewable energy, regulatory compliance, and the need for sustainable energy management. Key applications include predictive maintenance, load forecasting, and energy efficiency optimization. With increasing digitalization, energy and utility analytics is becoming essential for transforming traditional energy systems into intelligent, data-driven networks.