Quantization error is the difference between the actual analog input signal and its digital representation in a quantized system, often resulting from rounding off values to the nearest level in discrete signal processing. It is a critical factor affecting the accuracy and fidelity of digital systems, particularly in audio and image processing, where minimizing this error is essential for maintaining quality.