How to scale exponential data for a regression problem?
Yes, there is. Instead of Min-Max scaling, that shrinks any distribution in the [0, 1] interval, you can Scale the variables (in statistics, they are called Z-scores). The formula is:

(x - mean(x)) / stdev(x)


This will zero-center the distribution, and scale all the variables to a standard deviation = 1.

I strongly prefer this technique to Min-Max Scaling, since the latter is too sensitive to outlier observations and generates problems unseen, out-of-scale datapoints.

Additionally, if your analysis allows for that, consider taking the log() of a data distribution that grows exponentially. That would coerce it to a more linear growth. (I'm not sure this is what you need, it's just a possibility.)