Simulation enables to ease out the working of the complex systems. Whenever users needs improvements in their system that time simulation software helps to gain more knowledge about the system. When changing simulation inputs are needed to analyse that time simulation software is more suitable. Simulation models designed for training make learning possible without the cost disruption. Animated visualization can also be easily achieved with Simulation software.
Simulation software uses mathematical models for its analysis. Varied inputs are provided to the software and change in the outcome is observed. Based on this observation the final system is designed. The reliability of the system is verified by comparing the animated visualization with the real system that is formed by using simulation software.
Implementing simulation software involves some specific steps that needs to be considered for successful simulation. Steps include Problem definition, project planning, system definition, model formulation, input data collection & analysis, model translation, verification & validation, experimentation & analysis and final step is documentation & implementation.
Simulation based learning is the combination of cognitive, technical and behavioral skills into a process where learners believe in the virtual system and they react in it as if it is real. This type of learning using simulation modeling is simulation based learning.
Industries that use simulation software majorly are Healthcare, Manufacturing, Banking, Aviation and Tourism & Hospitality.
The Simulation software market is predicted to grow from $5.51 Billion in 2016 to $13.45 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 16.5% during the forecast period.