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Computer-Aided Engineering Market | Insights, Challenges, and Opportunities

Computer-Aided Engineering Market Report

Computer-Aided Engineering Market Report

Computer-Aided Engineering Market expands as industries adopt digital tools for product design and simulation.

AUSTIN, TEXAS, UNITED STATES, June 12, 2024 /EINPresswire.com/ -- Market Scope and Overview

The Computer-Aided Engineering Market was valued at USD 11,581.25 Million in 2023, with a projected CAGR of 12.6% to reach USD 29,926.95 Million by 2031 according to the SNS Insider report. The primary application of CAE would be in the validation and design of the models eliminating the necessity of production of additional prototypes and handling product recalls which are costly and time consuming thus leading to growth in the Computer-Aided Engineering Market. The rising popularity of using CFD software for studying temperature in battery modules and potentiating battery usage & versatility is also expected to factor in the growth of the market.

Previously, most of the business structures used on premise computing, present a shift to cloud computing which has low costs of hardware and software whereby one does not have to buy the products or pay for installation or support. The transition to CAE is also witnessed to raise the usage of such programs. Also, there is the concept of the Hyper-Converged Infrastructure (HCI) platform which outlines the infrastructure that a company can use in building a private cloud capable of powering advanced computation and storage services.

Business entities are more than ever willing to pay hefty license fees for even low – touches processes; there are also new models of pricing arising from the market including the SaaS where the customer pays as he uses. However, this new model of pricing may help the software providers especially in cash flow, revenue recognition, and finance.

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Key Players:

Major players in the market are Altair Engineering, Siemens AG, ESI Group, Hexagon, AB Bentley Systems, Inc, SimScale, Autodesk, Inc., Aveva Group, ANSYS, Inc, Bentley Systems, Inc., MSC Software Corporation, Dassault Systemes, Mentor Graphics Corporation and others.

Market Segmentation and Sub-Segmentation Included Are:

By Deployment Model:

➤ On-Premise
➤ Cloud

By Type:

➤ Computational Fluid Dynamics
➤ Multibody Dynamics
➤ Finite Element Analysis
➤ Optimization
➤ Simulation

By End Users:

➤ Automotive
➤ Electronics
➤ Defense
➤ Healthcare
➤ Industrial equipment
➤ Others

Increasing Investment in Research and Development Activities are Boosting the Market Growth

Major players are focusing on investing their resources on research and developments that would improve their current software. The majority of players remain focused on enhancing the client-facing aspects, enhancing and implementing algorithms, and incorporating new functionalities to ensure the tools are more customer-oriented, efficient, and productive. Most companies are incorporating software with the use of technologies such as machine learning (ML) and artificial intelligence (AI) to ensure that they realize better simulation, increase levels of automation and achieve better modelling. Holders in emergent economies are in the process of following the so-called ‘localization’ pattern to enhance the market percentage.

Recent Developments Showcase Strategic Alliances

In February 2023, Ansys Inc. and Microsoft extended their strategic partnership to facilitate virtual product design. This alliance includes expansion of cloud-based access to Ansys Inc.'s simulation solutions and CAE tools to enhance the design process.

In March 2023, Altair Engineering Inc. has expanded CaeTek in Norway. The company is extending its services to Norway as well.

North America Dominated the Market in 2023 Driven by the Increasing Deployment of Internet of Things

In 2023, North America dominated the Computer-Aided Engineering Market and is expected to continue its dominance over the forecast period due to the presence of diverse cultures and increasing automation in the manufacturing sector. Issues like greenhouse gas emissions and the newer generation of batteries are seen to drive the North American regional market among other challenges. Furthermore, factors such as the faster adoption rate of Internet of Things and a rising propensity toward defense expenditure are impacting the North American market share. The regional market in APAC is expected to boom at an exponential level as the government invests more in developing the manufacturing industry and increasing the capacities for renewable electricity generation. Perhaps, the increasing use of automated or computerized systems in manufacturing equipment in the industry may be expected to drive the demand for automated machines in the near future.

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Key Takeaways

➤ The potentials are the growing use of simulation-based design in many fields as a breakthrough is opening up opportunities to the leading gamer.

➤ Some of the solutions are particularly helpful in sectors where data integrity and safety are especially important – such as in the medical field and aviation. This is particularly effective since many of the scenarios created mimic real life conditions and stress testing, optimum security and high-quality standards are thus achieved.

➤ A strong effective of cloud-based computer aid engineering is benefit in leveraging problem solvers by providing the tools with which to implement larger and true to life problems that they need to solve, and the ability to accurately set up the design of the experiment.

Table of Contents

1. Introduction

2. Industry Flowchart

3. Research Methodology

4. Market Dynamics

5. Impact Analysis
5.1. Impact of Ukraine-Russia war
5.2. Impact of Economic Slowdown on Major Economies

6. Value Chain Analysis

7. Porter’s 5 Forces Model

8. PEST Analysis

9. Computer-Aided Engineering Market Segmentation, by Deployment Model

10. Computer-Aided Engineering Market Segmentation, by Type

11. Computer-Aided Engineering Market Segmentation, by End User

12. Regional Analysis

13. Company Profile

14. Competitive Landscape

15. USE Cases and Best Practices

16. Conclusion

About Us

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