Computer-aided engineering is the usage of sophisticated and interactive computer software to solve engineering problems. CAE includes tools such as computational fluid dynamics (CFD), finite element analysis (FEA), and multi-body dynamics (MBD). CAE software optimizes engineering tasks. These tools are generally used to analyze the performance and robustness of assemblies and components.
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CAE is used in many areas, such as aviation, space, automation, and shipbuilding. With faster processing due to the use of CAE, one can save on time and achieve goals faster. Models developed in computer-aided design (CAD) and verified in CAE are entered into computer-aided manufacturing (CAM) software, which controls machine tools like computer numeric control (CNC). CAE provides higher site construction standards, more sophisticated designs, and better building operation practices. Recent years have witnessed increasing adoption of computational fluid dynamics; for instance, the automotive industry have started using this tool in the designing of air cooled systems.
In recent years there has been increased partnership and mergers and acquisitions (M&A) between original CAE providers and resellers as well as between resellers. This is leading to an increase in the presence of a large number of value-added resellers (VARs), which is expected to boost the CAE market. CAE software has a wide application range and supports various tasks, such as analysis, validation, simulation, and the manufacturing of engineering products.
Even though CAE is used as an analysis and troubleshooting tool, there is an opinion by critics that accurate results come late in the design cycle; this is expected to restrain the growth of the CAE market. Also, open source solutions (i.e., those for which the source code is available with a license) are readily available in the market.
Consequently, companies avoid making investments in obtaining the commercial licenses of CAE solutions, which is expected to hamper the growth of CAE market. A rise in the adoption of computational fluid dynamics, which helps in reducing the cost of electric vehicles and the prediction of thermal conditions, is expected to create a growth opportunity for the CAE market during the forecast period.