Computer-aided
engineering (CAE) 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.
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.
The global CAE
market is segmented on the basis of CAE tools, end use, and region.
In terms of CAE tools, the market can be segmented into computational
fluid dynamics (CFD), finite element analysis (FEA), and multi-body
dynamics (MBD) tools. The market is also classified on the basis of
end use into electronics and electrical, defense, aerospace,
automobile, and industrial machinery. The market segments on the
basis of geographical regions are North America, Europe, Asia
Pacific, South America, and Middle East and Africa (MEA). Asia
Pacific is expected to lead the CAE market owing to the increasing
adoption of CAE tools and the emergence of large number of
manufacturing industries in the region.
Get Sample Report
Copy :
Industry
participants leading the CAE market with the most significant
developments are Dassault Systemes, Siemens Product Lifecycle
Management Software Inc., CD-adapco, Altair Engineering, Inc.,
AspenTechnology, Inc., Mentor Graphics, Inc., MSC Software
Corporation, Computational Engineering International Inc., ESI Group,
Bentley Systems Incorporated, and Exa Corporation.
About Us :
Transparency Market
Research (TMR) is a global market intelligence company providing
business information reports and services. The company’s exclusive
blend of quantitative forecasting and trend analysis provides
forward-looking insight for thousands of decision makers. TMR’s
experienced team of analysts, researchers, and consultants use
proprietary data sources and various tools and techniques to gather
and analyze information.
TMR’s data
repository is continuously updated and revised by a team of research
experts so that it always reflects the latest trends and information.
With extensive research and analysis capabilities, Transparency
Market Research employs rigorous primary and secondary research
techniques to develop distinctive data sets and research material for
business reports.
No comments:
Post a Comment