Hysteresis, with rich dynamical behaviors—especially in interacting systems—has drawn broad research interest. Yet its dynamic scalings across timescales lack a unified description, and their transitions remain unclear. Here, we study the stochastic ${\varphi }^4$ model driven periodically by an external field $H$. For large systems with small noise strength $\sigma$, we find the coercivity $H_c\equiv H(⟨\varphi ⟩=0)$ sequentially exhibits distinct behaviors with increasing driving rate $v_H$: $v_H$-scaling increase, stable plateau ($v_H^0$), $v_H^{1/2}$-scaling increase, and abrupt decline to disappearance. The plateau reflects the competition between thermodynamic and quasistatic limits, namely, ${\lim }_{\sigma \to 0}{\lim }_{v_H\to 0}{H}_c=0$, and ${\lim }_{v_H\to 0}{\lim }_{\sigma \to 0}{H}_c=H^{*}$. Here, $H^{*}$ is exactly the field-driven first-order phase transition point. In the post-plateau regime, $(H_c-H_P)$ scales with $(v_H-v_P{)}^{2/3}$ with $v_P$ and $H_P$ being the reference points of the plateau. Moreover, we reveal a finite-size scaling for the coercivity plateau as $v_P\sim {\sigma }^2$ and $(H^{*}-H_P)\sim {\sigma }^{4/3}$ by utilizing renormalization-group theory. Our Letter provides a panoramic view of finite-time scalings of the hysteresis and offers new insights into the interplay between finite-time and finite-size effects in nonequilibrium systems.

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• Brownian motion
• Dynamical phase transitions
• Landau theory
• Magnetic phase transitions
• Magnetization dynamics
• Noise-induced transitions
• Nonequilibrium statistical mechanics
• Stochastic thermodynamics
• Ultrafast magnetic effects
• Dynamical mean field theory
• Ising model