Computational Fluid Dynamics (CFD) is a valuable tool utilized by engineers and scientists to simulate fluid and gas behaviour in different settings. This method involves using mathematical equations to model fluid flow, allowing researchers to analyse and forecast intricate fluid dynamics occurrences. CFD is essential in various industries such as aerospace, automotive, energy, and environmental engineering, playing a key role in activities like optimizing car cooling systems and simulating airflow around aircraft wings. As computing power and simulation algorithms improve, the global market for Computational Fluid Dynamics (CFD) is experiencing rapid growth. This is fuelled by the growing need for precise and effective fluid dynamics simulations.

The worldwide CFD market is growing quickly, driven by the increasing demand for virtual testing and optimization in product development across various industries. Companies are looking to shorten their time-to-market and cut costs related to physical prototypes, and CFD software provides a valuable resource for carrying out virtual experiments and assessing design options. With the introduction of cloud-based CFD platforms, simulation tools are now more accessible to small and medium-sized businesses, allowing them to take advantage of CFD benefits without significant expenditures on equipment and software. Furthermore, combining artificial intelligence (AI) and machine learning (ML) methods into CFD software is improving predictive abilities and speeding up simulation processes, resulting in increased market expansion.