Computer-Aided Engineering Market size was valued at USD 10285.3 million in 2022 and is expected to grow to USD 26578.11 million by 2030 and grow at a CAGR of 12.6% over the forecast period of 2023-2030.
The practice of using computer software to simulate performance in order to enhance product designs or assist in the solving of engineering issues for a variety of sectors is known as computer-aided engineering (CAE). This includes modeling, confirming, and improving products, processes, and industrial machinery. As a result of integrated software solutions, there are no longer any issues with multiple prototypes or product recalls. As a result, the cost of the prototype and product recall strategy has been significantly reduced. More frequently, customers are assessing the value of their software contributions. In order to support low-value procedures, organizations are willing to pay large license costs for the software. As with Software as a Service (SaaS) pricing models, they are creating complementary delivery and pricing models that will allow clients to choose a pay-as-you-go subscription model.
Get more information on Computer-Aided Engineering Market - Request Sample Report
The user can save time and accomplish goals more rapidly because of CAE's fast data processing capabilities. Computer-aided manufacturing software, which operates machinery such as computer numeric control (CNC), uses models developed with computer-aided design and engineering software.
Drivers
Consistently increasing the use of IoT and 3D printing is driving the market.
The increased use of digital technologies in product design, such as the Internet of Things (IoT), AI, ML, automation, cloud, and others, contributes to improving product quality and durability. Users are also adopting computer-aided engineering solutions, which are predicted to boost market expansion, in order to reduce the time and cost associated with product development.
The CAE trend is anticipated to be influenced by expanding engineering modes like building information modeling (BIM), 3D printing, and concurrent engineering. Users can print any product as a three-dimensional picture using additive manufacturing techniques known as 3D printing. This technology assists in reducing production costs and in the creation of new production techniques.
Restrains
Lack of technical expertise and high installation costs will limit market expansion
One of the leading suppliers of open architectural software is the open-source platform, such as Linux. On the other hand, CAE software is simple to access online. However, the expensive support, customization, and maintenance fees charged by CAE solution providers are likely to promote the use of open-source platforms while slowing the market's expansion. Additionally, it is anticipated that a shortage of technical expertise regarding the adoption of CAE software will limit industry expansion.
Opportunities
Rise in the use of CFD software for analyzing temperature in battery modules and enhancing battery life & performance creates opportunities.
Challenges
CAE software can be complicated, and engineers must learn it quickly and at a high learning curve in order to use it effectively. This can cost a lot of time and money for training.
The accuracy of CAE simulations depends on the quality of the input data, which can be difficult if the information required is sparse, erroneous, or difficult to get.
The COVID-19 outbreak has disturbed daily life and forced individuals and organizations to reevaluate their plans and objectives. It has been demonstrated that these advancements fuel technical development and innovation. Complete and integrated computer-aided engineering solutions have been developed, promoted, sold, and supported by businesses with time and financial resources. Even though sales have been steady, the COVID-19 epidemic slightly slowed the rate of increase. The early stages of the pandemic were hampered by the declining demand for CAE software from end-use verticals. Vendors saw a dramatic reduction in new orders and CAE software purchases as a result of the shutdown of factories and manufacturing plants.
The computer-Aided Engineering Market is segmented into three types.
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
.png)
Need any customization/data on Computer-Aided Engineering Market - Enquiry Now
Due to the presence of bio-diverse cultures and rising manufacturing automation, North America dominated the CAE market with a market high share This dominance is predicted to continue over the forecast period. The regional market in North America is expected to grow as a result of the growing worries about greenhouse gas emissions and the advancement of battery technologies. Additional variables affecting the North American regional market share include the IoT's quick uptake and rising defense spending.
The APAC regional market is anticipated to have rapid expansion over the forecast period. Government spending is increasing, which can be ascribed to the rise of the manufacturing industry and the expansion of renewable energy production. The industry demand is probably being driven by the increasing automation of industrial machinery.
In the regional analysis study of the regions of North America, Europe, Asia Pacific middle east, and Africa.
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
South Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
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 in the final report.
DELMIAworks, which offers real-time management and visibility over the whole manufacturing supply chain, was introduced by Dassault Systèmes in July 2021. Manufacturing Execution System (MES) and Enterprise Resource Planning (ERP) solutions work together in a collaborative environment to let manufacturers report on the whole manufacturing process.
| Report Attributes | Details |
| Market Size in 2022 | US$ 10285.3 Mn |
| Market Size by 2030 | US$ 26578.11 Mn |
| CAGR | CAGR of 12.6 % From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Deployment Model (On-Premise, Cloud) • By Type (Computational Fluid Dynamics, Multibody Dynamics, Finite Element Analysis, Optimization, and Simulation) • By End User (Automotive, Electronics, Defense, Healthcare, Industrial equipment, Others) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | 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 |
| Key Drivers | • Consistently increasing the use of IoT and 3D printing is driving the market. |
| Market Opportunities | • Rise in the use of CFD software for analyzing temperature in battery modules and enhancing battery life & performance creates opportunities. |
The market is expected to grow to USD 26578.11 million by the forecast period of 2030.
Growth rate of the Computer-Aided Engineering Market is CAGR 12.6%.
The major worldwide key players in the computer-Aided Engineering Market are Major players in 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 in the final report.
USD 10285.3 million in 2022 is the market share of the Computer-Aided Engineering Market.
The forecast period for the Computer-Aided Engineering Market is 2022-2030.
Table of Contents
1.Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Computer-Aided Engineering Market Segmentation, by Deployment Model
8.1 On-Premise
8.2 Cloud
9. Computer-Aided Engineering Market Segmentation, by Type
9.1 Computational Fluid Dynamics
9.2 Multibody Dynamics
9.3 Finite Element Analysis
9.4 Optimization
9.5 Simulation
10. Computer-Aided Engineering Market Segmentation, by End User
10.1 Automotive
10.2 Electronics
10.3 Defense
10.4 Healthcare
10.5 Industrial equipment
10.6 Others
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America Computer-Aided Engineering Market by Country
11.2.2 North America Computer-Aided Engineering Market by Deployment Model
11.2.3 North America Computer-Aided Engineering Market by Type
11.2.4 North America Computer-Aided Engineering Market by End User
11.2.5 USA
11.2.5.1 USA Computer-Aided Engineering Market by Deployment Model
11.2.5.2 USA Computer-Aided Engineering Market by Type
11.2.5.3 USA Computer-Aided Engineering Market by End User
11.2. Canada
11.2.6.1 Canada Computer-Aided Engineering Market by Deployment Model
11.2.6.2 Canada Computer-Aided Engineering Market by Type
11.2.6.3 Canada Computer-Aided Engineering Market by End User
11.2.7 Mexico
11.2.7.1 Mexico Computer-Aided Engineering Market by Deployment Model
11.2.7.2 Mexico Computer-Aided Engineering Market by Type
11.2.7.3 Mexico Computer-Aided Engineering Market by End User
11.3 Europe
11.3.1 Europe Computer-Aided Engineering Market by Country
11.3.2 Europe Computer-Aided Engineering Market by Deployment Model
11.3.3 Europe Computer-Aided Engineering Market by Type
11.3.4 Europe Computer-Aided Engineering Market by End User
11.3.5 Germany
11.3.5.1 Germany Computer-Aided Engineering Market by Deployment Model
11.3.5.2 Germany Computer-Aided Engineering Market by Type
11.3.5.3 Germany Computer-Aided Engineering Market by End User
11.3.6 UK
11.3.6.1 UK Computer-Aided Engineering Market by Deployment Model
11.3.6.2 UK Computer-Aided Engineering Market by Type
11.3.6.3 UK Computer-Aided Engineering Market by End User
11.3.7 France
11.3.7.1 France Computer-Aided Engineering Market by Deployment Model
11.3.7.2 France Computer-Aided Engineering Market by Type
11.3.7.3 France Computer-Aided Engineering Market by End User
11.3.8 Italy
11.3.8.1 Italy Computer-Aided Engineering Market by Deployment Model
11.3.8.2 Italy Computer-Aided Engineering Market by Type
11.3.8.3 Italy Computer-Aided Engineering Market by End User
11.3.9 Spain
11.3.9.1 Spain Computer-Aided Engineering Market by Deployment Model
11.3.9.2 Spain Computer-Aided Engineering Market by Type
11.3.9.3 Spain Computer-Aided Engineering Market by End User
11.3.10 The Netherlands
11.3.10.1 Netherlands Computer-Aided Engineering Market by Deployment Model
11.3.10.2 Netherlands Computer-Aided Engineering Market by Type
11.3.10.3 Netherlands Computer-Aided Engineering Market by End User
11.3.11 Rest of Europe
11.3.11.1 Rest of Europe Computer-Aided Engineering Market by Deployment Model
11.3.11.2 Rest of Europe Computer-Aided Engineering Market by Type
11.3.11.3 Rest of Europe Computer-Aided Engineering Market by End User
11.4 Asia-Pacific
11.4.1 Asia Pacific Computer-Aided Engineering Market by Country
11.4.2 Asia Pacific Computer-Aided Engineering Market by Deployment Model
11.4.3 Asia Pacific Computer-Aided Engineering Market by Type
11.4.4Asia Pacific Computer-Aided Engineering Market by End User
11.4.5 japan
11.4.5.1 Japan Computer-Aided Engineering Market by Deployment Model
11.4.5.2 Japan Computer-Aided Engineering Market by Type
11.4.5.3 Japan Computer-Aided Engineering Market by End User
11.4.6 South Korea
11.4.6.1 South Korea Computer-Aided Engineering Market by Deployment Model
11.4.6.2 South Korea Computer-Aided Engineering Market by Type
11.4.6.3 South Korea Computer-Aided Engineering Market by End User
11.4.7 China
11.4.7.1 China Computer-Aided Engineering Market by Deployment Model
11.4.7.2 China Computer-Aided Engineering Market by Type
11.4.7.3 China Computer-Aided Engineering Market by End User
11.4.8 India
11.4.8.1 India Computer-Aided Engineering Market by Deployment Model
11.4.8.2 India Computer-Aided Engineering Market by Type
11.4.8.3 India Computer-Aided Engineering Market by End User
11.4.9 Australia
11.4.9.1 Australia Computer-Aided Engineering Market by Deployment Model
11.4.9.2 Australia Computer-Aided Engineering Market by Type
11.4.9.3 Australia Computer-Aided Engineering Market by End User
11.4.10 Rest of Asia-Pacific
11.4.10.1 APAC Computer-Aided Engineering Market by Deployment Model
11.4.10.2 APAC Computer-Aided Engineering Market by Type
11.4.10.3 APAC Computer-Aided Engineering Market by End User
11.5 The Middle East & Africa
11.5.1 The Middle East & Africa Computer-Aided Engineering Market by Country
11.5.2 The Middle East & Africa Computer-Aided Engineering Market by Deployment Model
11.5.3 The Middle East & Africa Computer-Aided Engineering Market by Type
11.5.4The Middle East & Africa Computer-Aided Engineering Market by End User
11.5.6 Israel
11.5.6.1 Israel Computer-Aided Engineering Market by Deployment Model
11.5.6.2 Israel Computer-Aided Engineering Market by Type
11.5.6.3 Israel Computer-Aided Engineering Market by End User
11.5.7 UAE
11.5.7.1 UAE Computer-Aided Engineering Market by Deployment Model
11.5.7.2 UAE Computer-Aided Engineering Market by Type
11.5.7.3 UAE Computer-Aided Engineering Market by End User
11.5.8 South Africa
11.5.8.1 South Africa Computer-Aided Engineering Market by Deployment Model
11.5.8.2 South Africa Computer-Aided Engineering Market by Type
11.5.8.3 South Africa Computer-Aided Engineering Market by End User
11.5.9 Rest of Middle East & Africa
11.5.9.1 Rest of Middle East & Asia Computer-Aided Engineering Market by Deployment Model
11.5.9.2 Rest of Middle East & Asia Computer-Aided Engineering Market by Type
11.5.9.3 Rest of Middle East & Asia Computer-Aided Engineering Market by End User
11.6 Latin America
11.6.1 Latin America Computer-Aided Engineering Market by Country
11.6.2 Latin America Computer-Aided Engineering Market by Deployment Model
11.6.3 Latin America Computer-Aided Engineering Market by Type
11.6.4 Latin America Computer-Aided Engineering Market by End User
11.6.5 brazil
11.6.5.1 Brazil Computer-Aided Engineering Market by Deployment Model
11.6.5.2 Brazil Africa Computer-Aided Engineering Market by Type
11.6.5.3 Brazil Computer-Aided Engineering Market by End User
11.6.6 Argentina
11.6.6.1 Argentina Computer-Aided Engineering Market by Deployment Model
11.6.6.2 Argentina Computer-Aided Engineering Market by Type
11.6.6.3 Argentina Computer-Aided Engineering Market by End User
11.6.7 Rest of Latin America
11.6.7.1 Rest of Latin America Computer-Aided Engineering Market by Deployment Model
11.6.7.2 Rest of Latin America Computer-Aided Engineering Market by Type
11.6.7.3 Rest of Latin America Computer-Aided Engineering Market by End User
12. Company Profile
12.1 Altair Engineering.
12.1.1 Market Overview
12.1.2 Financials
12.1.3 Product/Services/Offerings
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Clara Labs.
12.2.1 Market Overview
12.2.2 Siemens AG ESI Group
12.2.3 Product/Services/Offerings
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Apple Inc
12.3.1 Market Overview
12.3.2 Financials
12.3.3 Product/Services/Offerings
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Hexagon.
12.4.1 Market Overview
12.4.2 Financials
12.4.3 Product/Services/Offerings
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 AB Bentley Systems, Inc.
12.5.1 Market Overview
12.5.2 Financials
12.5.3 Product/Services/Offerings
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 SimScale
12.6.1 Market Overview
12.6.2 Financials
12.6.3 Product/Services/Offerings
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 Autodesk, Inc.
12.7.1 Market Overview
12.7.2 Financials
12.7.3 Product/Services/Offerings
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 ANSYS, Inc
12.8.1 Market Overview
12.8.2 Financials
12.8.3 Product/Services/Offerings
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 Bentley Systems, Inc
12.9.1 Market Overview
12.9.2 Financials
12.9.3 Product/Services/Offerings
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 Computer-Aided Engineering Market.
12.10.1 Market Overview
12.10.2 Financials
12.10.3 Product/Services/Offerings
12.10.4 SWOT Analysis
12.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
14. USE Cases and Best Practices
15. 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.
The Mobile and wireless backhaul market was valued at USD 11.32 billion in 2022, and is predicted to increase at a CAGR of 9.20 % from 2023 to 2030, to reach USD 22.89 billion.
The Industrial IoT (IIoT) Platform Market size was valued at USD 9.7 Billion in 2023 and is expected to reach USD 26.9 Billion by 2031 and grow at a CAGR of 13.6% over the forecast period 2024-2031.
The DevSecOps Market size was valued at USD 4.27 Bn in 2022 and is expected to reach USD 23.63 Bn by 2030, and grow at a CAGR of 23.84 % over the forecast period 2023-2030.
The Enterprise Networking Market is anticipated to increase at a CAGR of 5.92% from 2023 to 2030, from a value of USD 187.9 billion in 2022 to USD 297.68 billion in 2030.
The Peer-to-Peer Lending Market size was valued at USD 134.35 Bn in 2022 and is expected to reach USD 926.55 Bn by 2030, and grow at a CAGR of 27.3% over the forecast period 2023-2030.
The Smart Speaker Market size was valued at USD 10.22 billion in 2022 and is expected to grow to USD 50.15 billion by 2030 and grow at a CAGR of 22 % over the forecast period of 2023-2030.
Hi! Click one of our member below to chat on Phone
© 2024 All Rights Reserved by SNS Insider Pvt Ltd
