Cloud Storage Growth Forecast Calculator
Compound a storage footprint forward month by month and cost it at a blended hot and cold tier rate.
Inputs
Data Stored at the Horizon
307.6TB
Footprint in Bytes at the Horizon
308 TiB
Cost in the Final Month
$5,921.60
Cumulative Cost Over the Horizon
$93,897.90
Blended Rate After Tiering
0.0188USD per GB-month
Months to Double
17.7months
Zero means the forecast is flat or shrinking.
Step by step
Values used
Data stored today = 120 TB; Monthly growth rate = 4 %; Forecast horizon = 24 months; Share that lifecycle rules move to a cold tier = 40 %; Hot tier price = 0.0230 USD per GB-month; Cold tier price = 0.0125 USD per GB-month
Cloud Storage Growth Forecast
size(month m) = base x (1 + rate)^m; doubling time = ln(2) ÷ ln(1 + rate); blended rate = hot rate x (1 − cold share) + cold rate x cold share.
Data Stored at the Horizon
= 307.6 TB
Footprint in Bytes at the Horizon
= 338,205,928,179,016
Cost in the Final Month
= 5,921.60
Cumulative Cost Over the Horizon
= 93,897.90
Blended Rate After Tiering
= 0.0188 USD per GB-month
Months to Double
= 17.7 months
How it works
Storage growth compounds, so the arithmetic is a geometric series rather than a straight line: 4% a month is 60% a year, not 48%, and the cumulative bill is the sum of every intermediate month rather than the final month times the horizon. Applying a blended rate models the fact that lifecycle rules move a predictable share of the footprint to a cheaper tier as it ages. Both rates are user-supplied list prices to confirm on the AWS S3 pricing page for your region. Doubling time is the number that makes a growth rate feel real to a budget owner, and the cumulative figure is what a multi-year commitment or reserved capacity decision has to be justified against.
Formula
Cloud Storage Growth Forecast
size(month m) = base x (1 + rate)^m; doubling time = ln(2) ÷ ln(1 + rate); blended rate = hot rate x (1 − cold share) + cold rate x cold share.
- rate
- Monthly compound growth rate as a decimal
- cold share
- Fraction of bytes that lifecycle rules demote
- m
- Months from today
Frequently Asked Questions
How is Cloud Storage Growth Forecast calculated?
size(month m) = base x (1 + rate)^m; doubling time = ln(2) ÷ ln(1 + rate); blended rate = hot rate x (1 − cold share) + cold rate x cold share. Storage growth compounds, so the arithmetic is a geometric series rather than a straight line: 4% a month is 60% a year, not 48%, and the cumulative bill is the sum of every intermediate month rather than the final month times the horizon. Applying a blended rate models the fact that lifecycle rules move a predictable share of the footprint to a cheaper tier as it ages. Both rates are user-supplied list prices to confirm on the AWS S3 pricing page for your region.
Why does Cloud Storage Growth Forecast matter?
Doubling time is the number that makes a growth rate feel real to a budget owner, and the cumulative figure is what a multi-year commitment or reserved capacity decision has to be justified against.
What values do I need to enter?
This calculator takes 6 inputs: Data stored today, Monthly growth rate, Forecast horizon, Share that lifecycle rules move to a cold tier, Hot tier price, Cold tier price. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
Why is the cumulative cost so much larger than the final month?
Because you pay for every month along the curve. The cumulative figure is a geometric sum, so over 24 months of 4% growth it lands near 16 times the first month's bill rather than 24 times it.