This is not my area of expertise, but here is my insight:
Kinetics is a very complicated field of study drawing on multiple different branches of chemistry and physics. Often it can require significant amounts of quantum mechanics to calculate potential energy surfaces for the reaction and significant amounts of statistical mechanics to figure out how particles behave on that potential energy surface. As in all models, assumptions must be made to solve these problems and obtain workable models at the end.
Thus, the particular kinetic model that you use to describe a reaction depends a lot on the particular reaction and which assumptions you can apply to the system. Are the reactants strongly interacting with the environment (e.g. dissolved in a liquid) or are interactions with the environment weak (e.g. in the gas phase)? Do the reactants behave quantum mechanically to an appreciable extent (e.g. in proton/electron transfer) or can they be treated classically? Are the energetic barriers large in comparison to the thermal energy or small? Depending on the answers to these questions and other similar questions, you may choose a different model/theory to describe your system. For example, transition state theory (Eyring theory) works well for gas phase, classically behaving particles with high activation energies compared to thermal energy, but fails if these criteria are violated. For example, in cases where quantum mechanical behavior becomes important, something like Marcus theory may be more applicable.
Accordingly, when these models are tested in experiment, the results vary depending on the system. Collision theory (which calculates the Arrehnius prefactor from the rate of collisions between molecule in an ideal gas) works fairly well for the reactions of atoms in the gas phase but fails spectacularly for molecules reacting in gas phase because molecules must collide in a particular orientation to react and the model does not take this into account.