The Risks and Mitigation Strategies of Computer-Aided Engineering in the Dynamic Product Environment

The Computer-aided Engineering Market Size, which was estimated at USD 7.23 billion in 2022, is expected to increase from that amount to USD 17.68 billion by 2030, at a CAGR of 12.0%.

Computer-aided engineering (CAE) is the process of simulating performance using software to improve product designs or help engineers solve engineering problems for a variety of industries. It includes modeling, testing, and process improvement for manufacturing equipment, goods, and procedures. Additionally, the businesses are setting up a private cloud using the hyper-converged infrastructure (HCI) platform, which offers cutting-edge storage and computation services expected to fuel market expansion.

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Information about the report:

  • Forecast Timeframe: 2023-2030
  • The starting year is 2022 
  • Market Size in 2022 - USD 7.23 billion
  • The market size in 2030 will be USD 17.68 billion
  • CAGR - 12.0%
  • Segments Included: according to deployment type, application, enterprise type, sector, and geographic region

The Computer-aided Engineering Market is a large and growing sector that covers various aspects, such as market size, market share, market segment, and industry. The size of the Computer-aided Engineering Market is the total amount of money service providers make when selling their products to customers. Computer-aided Engineering Market share is the portion of the market that a single provider or a group of providers controls. The term computer-aided Engineering Market Segment refers to the different categories of applications based on their functions, features, or target users. The term industry refers to the different sectors or domains that use applications for their business operations or activities.

Analyses of the worldwide Computer-aided Engineering Market are conducted across regions, end-user industries, and material types. The study thoroughly examines segments and their sub-segments with tabular and graphic depictions. The segmentation can help investors and market participants create plans based on the report's list of the segments with the highest revenue growth rates.

By Type Analysis,

Finite element analysis (FEA), computational fluid dynamics (CFD), thermal analysis, multibody dynamics, and other categories are used to categorize the market based on type. The revenue share is anticipated to be dominated by finite element analysis (FEA) between 2023 and 2030. Its advantages, including greater accuracy, accessibility, and the ability to prevent future failures, are anticipated to expand the scope of its use in critical structure engineering. Its capacity to forecast product performance is also being adopted by different industries.

By Deployment Analysis,

On-premises and cloud deployments are separated in the market. The market share leader and one with the highest CAGR over the period of 2023–2030 is the cloud segment. Cloud technology makes it possible to scale more easily, cut costs, and distribute information more quickly.

By End-user Analysis,

The market is divided into categories for automobiles, medical devices, industrial equipment, defense & aerospace, electronics, and other products based on the end-user. Between 2023 and 2030, automotive will increase its market share the most. The demand for computer-aided engineering software is anticipated to increase due to the growing need to assess the viability of heat dissipation strategies like ventilation, cooling, and aerodynamics in the Asia Pacific region. The major automotive producers in the region are nations like Brazil and Argentina.

By Key player Analysis

A thriving startup ecosystem exists on the global market. It is anticipated that more than 100 startups will create and innovate new computer-aided engineering products for consumers. According to projections, such a market will foster fierce competition, forcing existing businesses to constantly update and adopt new developments in their product lineups. 

List of Key Companies Profiled:

  • ESI Group (France)
  • Siemens AG (Germany)
  • Hexagon AB (Sweden)
  • Aveva Group (U.K.)
  • SimScale (Germany)
  • ANSYS, Inc. (U.S.)
  • Altair Engineering Inc. (U.S.)

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