We first come across the canonical partition function $Q(\beta) := \sum_i e^{-\beta E_i}$ as a normalization constant for the probability that a given microstate is occupied, as given by the Boltzmann distribution. It is the Boltzmann distribution that allows for all the remarkable properties of the normalization constant $Q$.
We mention the two most important properties. For one, $Q$ is (proportional to) a moment-generating function of the distribution of microstate energies: $$Q(\beta) := \sum_i e^{-\beta E_i} = \sum_{E_i} \omega(E_i)\,e^{-\beta E_i} = \Omega\sum_{E_i}\frac{\omega(E_i)}{\Omega}\,e^{-\beta E_i} = \Omega\,\langle e^{-\beta E}\rangle, \quad \Omega := \sum_{E_i}\omega(E_i).$$ Recall that a moment-generating function is useful because it encodes all possible information about a given distribution; hence $Q$ contains all information about (the energy distribution of) our system. This extends to functions of $Q$, particularly the Helmholtz free energy $A = A(Q)$.
For another, differentiating $\ln Q$ with respect to $\beta$ will generate moments of the Boltzmann distribution. This is unique to the function whose derivative is itself, the exponential function. (We differentiate $\ln Q$ in place of $Q$ in order to get a factor of $1/Q$ to generate normalized probabilities.) This is a very useful and important technique, but I'm not sure that there's an associated physical significance.
Do note that I describe two different distributions in my answer: the distribution of microstate energies and the distribution of microstate occupancy. The canonical partition function is the moment-generating function of the former only. However, it is, in some sense, a generating function for the latter distribution, by the second property above.