N-dimensional space refers to a mathematical concept that extends the idea of traditional three-dimensional space into higher dimensions. While we are familiar with points in 2D (like a flat surface) and 3D (like our physical world), n-dimensional space can have any number of dimensions, represented by coordinates. For example, in 4D, a point is defined by four values instead of three. In n-dimensional space, each additional dimension adds complexity and allows for more data representation. This concept is crucial in various fields, including physics, computer science, and data analysis, where it helps in visualizing and solving problems involving multiple variables.