A feature map is an intermediate representation of input data as it passes through layers of a neural network, capturing spatial hierarchies and patterns that are crucial for tasks like image processing. It is essential in convolutional neural networks (CNNs) where it helps in identifying and preserving spatial relationships within data, contributing to the model's ability to recognize complex patterns and features.