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The Computer Aided Engineering Market was valued at USD 9.4 Billion in 2023 and is expected to reach USD 23.6 Billion by 2032, growing at a CAGR of 10.80% from 2024-2032.
The CAE Market is experiencing significant growth due to its ability to transform product design, simulation, and analysis. CAE tools play an important role because they allow engineers to test and optimize designs virtually before building any physical prototype making the process both time and cost-effective. That has rendered them invaluable to different sectors that desire operational efficiency and enhanced quality of products. The transition to cloud-based solutions from on-premise software is a significant contributing factor to market growth. The cloud-based CAE platforms provide more scalability, affordability, and accessibility as organizations of every size can now utilize advanced engineering tools for their most complex problems powered by the cloud without investing heavily in infrastructure. The same change also facilitates collaborative workflows, which allows teams to work seamlessly across locations. In industries like automotive, aerospace, and electronics, accuracy and innovation count with CAE penetration. CAE tools are used by automotive manufacturers to refine designs to meet aerodynamic, thermal, and structural performance limits. The aerospace and electronics industries, for example, depend on a sophisticated CAE that ensures high performance and reliability of value chain products.
The adoption of new technologies is another important growth driver. With the incorporation of AI and ML into CAE solutions, predictive analytics and automating engineering processes are enabling early detection of potential design issues. The availability of high-performance computing and network infrastructure, along with requirements for rapid design cycles, is further expanding the horizons of CAE applications. Value-added resellers (VARs) have become a key enabler in driving greater adoption of CAE tools through customized training, support, and certifications. These services assist organizations in fully leveraging the CAE solution with optimum implementation and utilization. The increasing availability of these resources is another factor driving the growth of the market.
The CAE market is powered by the need for efficient and cost-effective design processes, along with the growing incorporation of advanced technologies. With industries placing an increasing emphasis on innovation and quality, CAE tools are expected to be in more demand, firmly establishing CAE tools as a fundamental element of modern engineering and product development.
Market Dynamics
Drivers
Tailored training and certifications enhancing the adoption and effective use of CAE tools.
Industry-specific training and certifications are critical in enabling organizations to embrace and make the most out of Computer-Aided Engineering tools. Offered by value-added resellers or software vendors, these programs are designed to train engineers and technical teams on how to extract maximum capabilities from CAE solutions. With its customized courses catering to the specific needs of industries, such training is aimed at ensuring maximum integration of CAE tools with the design and simulation workflows in use, thus improving accuracy and productivity while reducing errors. Having some certification in this area only strengthens your professional expertise and credibility, allowing you to execute complex simulations and analyses with ease. This is especially important for industries where precision is key, such as automotive, aerospace, and electronics. With sophisticated CAE functionalities, certified professionals can maximize product quality, reduce compliance risks, and accelerate development cycles.
Training developed specifically for small and medium-sized enterprises builds confidence to use advanced technologies when SMEs had limited previous interaction with CAEs. It fills the chasm between technology providers and users by enabling the seamless integration of CAE tools into user workflows. This allows organizations to get the most value from all of the benefits of CAE including the reduced cost, higher design accuracy, and more efficient operations. Specialized training and certifications play a key role in increasing the number of users in the dynamic CAE market. Thus, these programs help industries maintain their competitiveness by embracing next-generation engineering solutions to propel innovation in product design and development.
Increased adoption of cloud platforms for scalability, cost-effectiveness, and enhanced collaboration.
Rising need to reduce costs and time associated with physical prototyping through virtual simulations.
Restraints
The limited availability of trained professionals restricts the effective utilization of advanced CAE features.
The lack of trained professionals is one of the main challenges to effectively leveraging the newer advanced Computer-Aided Engineering tools. CAE solutions are niche objects requiring a good understanding of engineering fundamentals, and functional knowledge of software and simulation methodologies. The techniques are complex simulations, optimization, and real-time data analysis, and require engineers and designers, who can take full advantage of these tools. However, unskilled professionals who cannot get used to the advanced features can be a hindrance to the proliferation of CAE tools and hence limit the benefits of CAE.
The demand for CAE professionals is even more high in industries such as automotive, aerospace, and electronics where accuracy and innovation are a matter of high concern. Contemporary CAE tools, considering those blended with AI, ML, and other high-end simulation techniques, call for professionals with a blend of technical and domain knowledge. Unless properly trained some of the employees might not be able to use these tools effectively leading to poor design, longer development time, and increased cost.
This is a particularly difficult gap for small and medium-sized enterprises to bridge, as many simply do not have the resources to dedicate to special training programs. Consequently, these companies may encounter challenges when implementing and using CAE tools, ultimately restricting their capability to remain competitive. To learn more about CAE solutions, many companies resort to training programs, certifications, and VAR partnerships to overcome this hurdle and fill the skills gap to harness the full potential of CAE solutions.
The substantial investment required for software licenses, hardware, and training limits adoption, especially for SMEs.
Cloud-based CAE solutions raise issues about data privacy and intellectual property protection.
By Component
In 2023, the software segment dominated the market and represented revenue share of more than 59% in 2023. driven by advantages like data safety and reliability along with non-escalating testing. Bringing all this scalable engineering work together, the software optimizes the engineering tasks and is primarily used for robustness, and performance checks of the components and assemblies.
The sector is further divided based on software types including Finite Element Analysis, Computational Fluid Dynamics, multi-body dynamics, as well as optimization & simulation. FEA is a computational analysis method used to calculate product strength concerning the loading. FEA is done on real components and can simulate heat transfer in solid bodies, the structural analysis steps involved in the manufacturing process, problems in electromagnetic potential, and the steps involving mass transport between domains.
The service segment is expected to register the fastest CAGR during the forecast period. The segment growth is attributed to increasing awareness among companies and governments, of processes for product development using virtually enabled procedures. Enterprises are adopting design and consulting, implementation, and maintenance services are also becoming one of the preferred service options.
By Deployment
The on-premise segment dominated the market and accounted for a revenue share of more than 65% in 2023, Software is a fast-paced industry, and timely development and introducing new products to the market is critical to any firm in this sector. Companies are acquiring new technologies, It brings flexibility, security, scalability, and of course easy access to data. Additionally, it delivers a solution to the CAE users that is specific to their application as a cloud-based CAE, which is delivered to the CAE users as Software-as-a-Service. Thus, based on the deployment model, cloud-based is expected to depict the highest growth over the forecast period.
The cloud segment is expected to register the fastest CAGR during the forecast period, deploying a cloud basis allows you to distribute quickly, maintain less, reduce cost as well as create more scalable. While the costs to implement software on-premise raised an additional expense on the software deployment and up-gradation costs.
Regional Analysis
North America dominated the market and accounted for more than 35.0% share in 2023 and the region is expected to continue to dominate over the forecast period, due to the presence of bio-diverse cultures and integration of automation into the manufacturing sector. Shifting focus toward greenhouse gas emissions and innovations in newer battery technologies is expected to stimulate the North American regional market. Other factors also supporting the North American regional market share are the high penetration rate of IoT and the rising cost of defense.
The APAC regional market revenue is estimated to grow at the fastest CAGR during the forecast period. The positive outlook is due to increasing investment in the developing manufacturing sector in most of the countries, both in developed and developing nations, Expected to grow owing to growing government investments for capacity expansion of renewable energy generation. This is expected to propel the industry demand owing to the increasing automation of industrial equipment.
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Major players in the market are Altair Engineering, Siemens AG, ANSYS Inc., Dassault Systèmes, Autodesk Inc., PTC Inc., MSC Software Corporation, COMSOL Inc., MathWorks, Oracle Corporation others in the final report.
In October 2024, Autodesk, a leader in computer-aided design software, received an overweight rating and a $340 price target from Wells Fargo analyst Michael Turrin. This rating was attributed to Autodesk's potential for reaccelerating revenue growth and achieving a 30%+ free cash flow margin, following successful business model transitions.
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Report Attributes |
Details |
|
Market Size in 2023 |
USD 9.4 Billion |
|
Market Size by 2032 |
USD 23.6 Billion |
|
CAGR |
CAGR of 10.80 % From 2024 to 2032 |
|
Base Year |
2023 |
|
Forecast Period |
2024-2032 |
|
Historical Data |
2020-2022 |
|
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
|
Key Segments |
• By Component (Software, Services) |
|
Regional Analysis/Coverage |
North America (USA, Canada, Mexico), Europe |
|
Company Profiles |
ANSYS Inc., Siemens PLM Software, Dassault Systèmes, Autodesk Inc., PTC Inc., Altair Engineering, MSC Software Corporation, COMSOL Inc., MathWorks, Oracle Corporation |
|
Key Drivers |
• Increased adoption of cloud platforms for scalability, cost-effectiveness, and enhanced collaboration. |
|
Restraints |
• The substantial investment required for software licenses, hardware, and training limits adoption, especially for SMEs. |
Cloud-based CAE solutions raise issues about data privacy and intellectual property protection.
Rising need to reduce costs and time associated with physical prototyping through virtual simulations
The Asia-Pacific is expected to register the fastest CAGR during the forecast period.
The CAGR of the Computer Aided Engineering Market during the forecast period is 10.80% from 2024-2032.
The Computer-Aided Engineering Market was valued at USD 9.4 Billion in 2023 and is expected to reach USD 23.6 Billion by 2032, growing at a CAGR of 10.80% from 2024-2032.
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Emerging Technologies
5.2 Network Infrastructure Expansion, by Region
5.3 Cybersecurity Incidents, by Region (2020-2023)
5.4 Cloud Services Usage, by Region
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Computer Aided Engineering Market Segmentation, By Component
7.1 Chapter Overview
7.2 Software
7.2.1 Software Market Trends Analysis (2020-2032)
7.2.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.3 Finite Element Analysis (FEA)
7.2.3.1 Finite Element Analysis (FEA) Market Trends Analysis (2020-2032)
7.2.3.2 Finite Element Analysis (FEA) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.4 Computational Fluid Dynamics (CFD)
7.2.4.1 Computational Fluid Dynamics (CFD) Market Trends Analysis (2020-2032)
7.2.4.2 Computational Fluid Dynamics (CFD) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.5 Multibody dynamics
7.2.5.1 Multibody dynamics Market Trends Analysis (2020-2032)
7.2.5.2 Multibody dynamics Market Size Estimates and Forecasts to 2032 (USD Billion)
7.2.6 Optimization & simulation
7.2.6.1 Optimization & simulation Market Trends Analysis (2020-2032)
7.2.6.2 Optimization & simulation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.3 Development Service
7.3.3.1 Development Service Market Trends Analysis (2020-2032)
7.3.3.2 Development Service Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3.4 Training, Support & Maintenance
7.3.4.1 Training, Support & Maintenance Market Trends Analysis (2020-2032)
7.3.4.2 Training, Support & Maintenance Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Computer Aided Engineering Market Segmentation, by End-Use
8.1 Chapter Overview
8.2 Automotive
8.2.1 Automotive Market Trends Analysis (2020-2032)
8.2.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Defense & aerospace
8.3.1 Defense & aerospace Market Trends Analysis (2020-2032)
8.3.2 Defense & aerospace Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Electronics
8.4.1 Electronics Market Trends Analysis (2020-2032)
8.4.2 Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Medical devices
8.5.1 Medical devices Market Trends Analysis (2020-2032)
8.5.2 Medical devices Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Industrial equipment
8.6.1 Industrial equipment Market Trends Analysis (2020-2032)
8.6.2 Industrial equipment Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Others
8.7.1 Others Market Trends Analysis (2020-2032)
8.7.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Computer Aided Engineering Market Segmentation, by Deployment
9.1 Chapter Overview
9.2 On-premise
9.2.1 On-premise Market Trends Analysis (2020-2032)
9.2.2 On-premise Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Cloud-based
9.3.1 Cloud-based Market Trends Analysis (2020-2032)
9.3.2 Cloud-based Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.4 North America Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.5 North America Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.6.2 USA Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.6.3 USA Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.7.2 Canada Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.7.3 Canada Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.2.8.2 Mexico Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.8.3 Mexico Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.6.2 Poland Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.6.3 Poland Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.7.2 Romania Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.7.3 Romania Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.4 Western Europe Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.5 Western Europe Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.6.2 Germany Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.6.3 Germany Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.7.2 France Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.7.3 France Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.8.2 UK Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.8.3 UK Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.9.2 Italy Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.9.3 Italy Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.10.2 Spain Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.10.3 Spain Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.13.2 Austria Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.13.3 Austria Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.4 Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.5 Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.6.2 China Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.6.3 China Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.7.2 India Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.7.3 India Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.8.2 Japan Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.8.3 Japan Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.9.2 South Korea Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.9.3 South Korea Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.10.2 Vietnam Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.10.3 Vietnam Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.11.2 Singapore Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.11.3 Singapore Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.12.2 Australia Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.12.3 Australia Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.4 Middle East Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.5 Middle East Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.6.2 UAE Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.6.3 UAE Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.4 Africa Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.5 Africa Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Computer Aided Engineering Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.4 Latin America Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.5 Latin America Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.6.2 Brazil Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.6.3 Brazil Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.7.2 Argentina Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.7.3 Argentina Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.8.2 Colombia Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.8.3 Colombia Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Computer Aided Engineering Market Estimates and Forecasts, Component (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Computer Aided Engineering Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Computer Aided Engineering Market Estimates and Forecasts, by Deployment (2020-2032) (USD Billion)
11. Company Profiles
11.1 ANSYS Inc
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Siemens PLM Software
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Dassault Systèmes
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Autodesk Inc
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 PTC Inc.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Altair Engineering
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 MSC Software Corporation
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 COMSOL Inc.
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 MathWorks
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Oracle Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
Software
Finite Element Analysis (FEA)
Computational Fluid Dynamics (CFD)
Multibody dynamics
Optimization & simulation
Services
Development Service
Training, Support & Maintenance
By Deployment
On-premise
Cloud-based
By End-Use
Automotive
Defense & aerospace
Electronics
Medical devices
Industrial equipment
Others
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REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
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Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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