Why is it important to consider algorithm complexity when developing algorithms?

The assessment of algorithm complexity is important because it helps understand how efficiently an algorithm will perform as the volume of data increases. This allows:

• Predicting execution time and resource consumption.
• Choosing the optimal algorithm for a specific task.
• Avoiding performance and scalability issues.

For example, an algorithm with quadratic complexity (O(n²)) may work quickly on small data sets but become unacceptably slow as the volume grows. Therefore, it is important in development to aim for algorithms with lower time and space complexity.