Products of M i.i.d. non-Hermitian random matrices of size N ×N relate Gaussian fluctuation of Lyapunov and stability exponents in dynamical systems (finite N and large M ) to local eigenvalue universality in random matrix theory (finite M and large N ). The remaining task is to study local eigenvalue statistics as M and N tend to infinity simultaneously, which lies at the heart of understanding two kinds of universal patterns. For products of i.i.d. complex Ginibre matrices, truncated unitary matrices and spherical ensembles, as M +N → ∞ we prove that local statistics undergoes a transition when the relative ratio M/N changes from 0 to ∞: Ginibre statistics when M/N → 0, normality when M/N → ∞, and new critical phenomena when M/N → γ ∈ (0, ∞).