Synthetic sensors are a virtualized software-based model that deducts and analyzes information indirectly. The information can be integrated from multiple real physical sensors from the same device, or any other device, such as a smartphone, for example. In the industry, this is also known as a virtual sensor or virtual sensing. These systems do not rely on direct hardware measurements but instead infer complex insights like user behavior, emotional states, or environmental conditions by analyzing combined sensor inputs. Their core strengths lie in their ability to deliver real-time, context-aware insights, simulate expensive or impractical sensors, and operate flexibly across diverse environments. Their benefits include cost-effectiveness, improved accuracy, and the ability to operate in environments where physical sensors are limited or unavailable. Synthetic sensors are widely used across industries such as healthcare (for monitoring patient well-being), consumer electronics (in smartphones and wearables), automotive (for driver behavior analysis), and smart homes (for occupancy and mood detection).