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The global computational fluid dynamics market attained a value of USD 1.8 billion in 2020. The market is further expected to grow in the forecast period of 2023-2028 at a CAGR of 12% to reach USD 3.5 billion by 2026.
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The growth of the market can be attributed to rapid innovations in the aerospace and aeronautical industries. Computational fluid dynamics is used in the maintenance of various essential aerospace components and parts. For instance, it is used to automate engine cooling and fuel distribution systems. North America and Europe are projected to acquire the largest share in the global demand for computational fluid dynamics in the coming years.
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Computational fluid dynamics or CFD is the numerical analysis of systems involving fluid flow, heat transfer, and other associated phenomena by computer-based simulation. It uses applied mathematics, physics, and computational software to visualise the effect of a gas or liquid on a fast-flowing object. CFD is a cost-effective method of testing prototypes of products before they are launched. Since the 1960s, the aerospace industry has integrated CFD techniques into the design, R&D, and manufacturing of aircraft and jet engines.
The market can be broadly categorised based on deployment model:
The market can be broadly categorised based on its end uses into:
The EMR report looks into the regional markets of Europe, Asia Pacific, North America, Middle East and Africa, Latin America.
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The growth of the market can be attributed to rapid advancements in the motor vehicle, aerospace, and aeronautical industries. In these sectors, CFD is used to maintain several critical aircraft systems and components. Recently several methods have been applied to the design of internal combustion engines, gas turbines, combustion chambers, and furnaces. Whereas, motor vehicle manufacturers are now routinely predicting drag forces, low-coil air flows, and the in-car environment with CFD. For instance, it is used to optimise engine cooling and fuel delivery systems. CFD can also predict the performance of new processes and designs prior to their production and implementation. As a result, it has become an integral part of the engineering analysis and design environment in several organisations.
The report presents a detailed analysis of the following key players in the global computational fluid dynamics market, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The comprehensive report looks into the macro and micro aspects of the industry. The EMR report gives an in-depth insight into the market by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
REPORT FEATURES | DETAILS |
---|---|
Base Year | 2022 |
Historical Period | 2018-2022 |
Forecast Period | 2023-2028 |
Scope of the Report | Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Deployment Model, End Use, Region |
Breakup by Deployment Model | Cloud-Based Model, On-Premises Model |
Breakup by End Use | Automotive, Aerospace and Defence, Electrical and Electronics, Industrial Machinery, Energy, Material and Chemical Processing, Others |
Breakup by Region | North America, Europe, Asia Pacific, Latin America, Middle East and Africa |
Market Dynamics | SWOT, Porter's Five Forces, Key Indicators for Price and Demand |
Competitive Landscape | Market Structure, Company Profiles- Company Overview, Product Portfolio, Demographic Reach and Achievements, Certifications |
Companies Covered | Altair Engineering, Inc., ANSYS, Inc., Autodesk Inc., COMSOL AB., Hexagon AB, Others |
Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Computational Fluid Dynamics Market Analysis
8.1 Key Industry Highlights
8.2 Global Computational Fluid Dynamics Historical Market (2018-2022)
8.3 Global Computational Fluid Dynamics Market Forecast (2023-2028)
8.4 Global Computational Fluid Dynamics Market by Deployment Model
8.4.1 Cloud-Based Model
8.4.1.1 Market Share
8.4.1.2 Historical Trend (2018-2022)
8.4.1.3 Forecast Trend (2023-2028)
8.4.2 On-Premises Model
8.4.2.1 Market Share
8.4.2.2 Historical Trend (2018-2022)
8.4.2.3 Forecast Trend (2023-2028)
8.5 Global Computational Fluid Dynamics Market by End Use
8.5.1 Automotive
8.5.1.1 Market Share
8.5.1.2 Historical Trend (2018-2022)
8.5.1.3 Forecast Trend (2023-2028)
8.5.2 Aerospace and Defence
8.5.2.1 Market Share
8.5.2.2 Historical Trend (2018-2022)
8.5.2.3 Forecast Trend (2023-2028)
8.5.3 Electrical and Electronics
8.5.3.1 Market Share
8.5.3.2 Historical Trend (2018-2022)
8.5.3.3 Forecast Trend (2023-2028)
8.5.4 Industrial Machinery
8.5.4.1 Market Share
8.5.4.2 Historical Trend (2018-2022)
8.5.4.3 Forecast Trend (2023-2028)
8.5.5 Energy
8.5.5.1 Market Share
8.5.5.2 Historical Trend (2018-2022)
8.5.5.3 Forecast Trend (2023-2028)
8.5.6 Material and Chemical Processing
8.5.6.1 Market Share
8.5.6.2 Historical Trend (2018-2022)
8.5.6.3 Forecast Trend (2023-2028)
8.5.7 Others
8.6 Global Computational Fluid Dynamics Market by Region
8.6.1 North America
8.6.1.1 Market Share
8.6.1.2 Historical Trend (2018-2022)
8.6.1.3 Forecast Trend (2023-2028)
8.6.2 Europe
8.6.2.1 Market Share
8.6.2.2 Historical Trend (2018-2022)
8.6.2.3 Forecast Trend (2023-2028)
8.6.3 Asia Pacific
8.6.3.1 Market Share
8.6.3.2 Historical Trend (2018-2022)
8.6.3.3 Forecast Trend (2023-2028)
8.6.4 Latin America
8.6.4.1 Market Share
8.6.4.2 Historical Trend (2018-2022)
8.6.4.3 Forecast Trend (2023-2028)
8.6.5 Middle East and Africa
8.6.5.1 Market Share
8.6.5.2 Historical Trend (2018-2022)
8.6.5.3 Forecast Trend (2023-2028)
9 North America Computational Fluid Dynamics Market Analysis
9.1 United States of America
9.1.1 Market Share
9.1.2 Historical Trend (2018-2022)
9.1.3 Forecast Trend (2023-2028)
9.2 Canada
9.2.1 Market Share
9.2.2 Historical Trend (2018-2022)
9.2.3 Forecast Trend (2023-2028)
10 Europe Computational Fluid Dynamics Market Analysis
10.1 United Kingdom
10.1.1 Market Share
10.1.2 Historical Trend (2018-2022)
10.1.3 Forecast Trend (2023-2028)
10.2 Germany
10.2.1 Market Share
10.2.2 Historical Trend (2018-2022)
10.2.3 Forecast Trend (2023-2028)
10.3 France
10.3.1 Market Share
10.3.2 Historical Trend (2018-2022)
10.3.3 Forecast Trend (2023-2028)
10.4 Italy
10.4.1 Market Share
10.4.2 Historical Trend (2018-2022)
10.4.3 Forecast Trend (2023-2028)
10.5 Others
11 Asia Pacific Computational Fluid Dynamics Market Analysis
11.1 China
11.1.1 Market Share
11.1.2 Historical Trend (2018-2022)
11.1.3 Forecast Trend (2023-2028)
11.2 Japan
11.2.1 Market Share
11.2.2 Historical Trend (2018-2022)
11.2.3 Forecast Trend (2023-2028)
11.3 India
11.3.1 Market Share
11.3.2 Historical Trend (2018-2022)
11.3.3 Forecast Trend (2023-2028)
11.4 ASEAN
11.4.1 Market Share
11.4.2 Historical Trend (2018-2022)
11.4.3 Forecast Trend (2023-2028)
11.5 Australia
11.5.1 Market Share
11.5.2 Historical Trend (2018-2022)
11.5.3 Forecast Trend (2023-2028)
11.6 Others
12 Latin America Computational Fluid Dynamics Market Analysis
12.1 Brazil
12.1.1 Market Share
12.1.2 Historical Trend (2018-2022)
12.1.3 Forecast Trend (2023-2028)
12.2 Argentina
12.2.1 Market Share
12.2.2 Historical Trend (2018-2022)
12.2.3 Forecast Trend (2023-2028)
12.3 Mexico
12.3.1 Market Share
12.3.2 Historical Trend (2018-2022)
12.3.3 Forecast Trend (2023-2028)
12.4 Others
13 Middle East and Africa Computational Fluid Dynamics Market Analysis
13.1 Saudi Arabia
13.1.1 Market Share
13.1.2 Historical Trend (2018-2022)
13.1.3 Forecast Trend (2023-2028)
13.2 United Arab Emirates
13.2.1 Market Share
13.2.2 Historical Trend (2018-2022)
13.2.3 Forecast Trend (2023-2028)
13.3 Nigeria
13.3.1 Market Share
13.3.2 Historical Trend (2018-2022)
13.3.3 Forecast Trend (2023-2028)
13.4 South Africa
13.4.1 Market Share
13.4.2 Historical Trend (2018-2022)
13.4.3 Forecast Trend (2023-2028)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value
16 Competitive Landscape Chain Analysis
16.1 Market Structure
16.2 Company Profiles
16.2.1 Altair Engineering, Inc.
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 ANSYS, Inc.
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 Autodesk Inc.
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 COMSOL AB.
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 Hexagon AB
16.2.5.1 Company Overview
16.2.5.2 Product Portfolio
16.2.5.3 Demographic Reach and Achievements
16.2.5.4 Certifications
16.2.6 Others
17 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Computational Fluid Dynamics Market: Key Industry Highlights, 2018 and 2028
2. Global Computational Fluid Dynamics Historical Market: Breakup by Deployment Model (USD Billion), 2018-2022
3. Global Computational Fluid Dynamics Market Forecast: Breakup by Deployment Model (USD Billion), 2023-2028
4. Global Computational Fluid Dynamics Historical Market: Breakup by End Use (USD Billion), 2018-2022
5. Global Computational Fluid Dynamics Market Forecast: Breakup by End Use (USD Billion), 2023-2028
6. Global Computational Fluid Dynamics Historical Market: Breakup by Region (USD Billion), 2018-2022
7. Global Computational Fluid Dynamics Market Forecast: Breakup by Region (USD Billion), 2023-2028
8. North America Computational Fluid Dynamics Historical Market: Breakup by Country (USD Billion), 2018-2022
9. North America Computational Fluid Dynamics Market Forecast: Breakup by Country (USD Billion), 2023-2028
10. Europe Computational Fluid Dynamics Historical Market: Breakup by Country (USD Billion), 2018-2022
11. Europe Computational Fluid Dynamics Market Forecast: Breakup by Country (USD Billion), 2023-2028
12. Asia Pacific Computational Fluid Dynamics Historical Market: Breakup by Country (USD Billion), 2018-2022
13. Asia Pacific Computational Fluid Dynamics Market Forecast: Breakup by Country (USD Billion), 2023-2028
14. Latin America Computational Fluid Dynamics Historical Market: Breakup by Country (USD Billion), 2018-2022
15. Latin America Computational Fluid Dynamics Market Forecast: Breakup by Country (USD Billion), 2023-2028
16. Middle East and Africa Computational Fluid Dynamics Historical Market: Breakup by Country (USD Billion), 2018-2022
17. Middle East and Africa Computational Fluid Dynamics Market Forecast: Breakup by Country (USD Billion), 2023-2028
18. Global Computational Fluid Dynamics Market Structure
In 2020, the global computational fluid dynamics market attained a value of nearly USD 1.8 billion.
The market is projected to grow at a CAGR of 12% between 2021 and 2026.
The market is estimated to witness a healthy growth in the forecast period of 2023-2028 to reach about USD 3.5 billion by 2026.
The major drivers of the industry, such as rapid innovations in the aerospace and aeronautical industries and the rising demand from the end use segments, are expected to aid the market growth.
The key trend guiding the growth of the market includes the rising demand of the product due to its ability to predict the performance of new processes and designs prior to their production and implementation, which is required in several organisations.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific, with North America and Europe accounting for the largest share in the market.
The major deployment models of the product in the industry are cloud-based model and on-premises model.
The major end uses of the product are automotive, aerospace and defence, electrical and electronics, industrial machinery, energy, and material and chemical processing, among others.
The major players in the industry are Altair Engineering, Inc., ANSYS, Inc., Autodesk Inc., COMSOL AB., and Hexagon AB, among others.
The global computational fluid dynamics market attained a value of USD 1.8 billion in 2020, driven by the rising demand from the end-use segments. Aided by the growing demand for the product from several organisations, the market is expected to witness a further growth in the forecast period of 2023-2028, growing at a CAGR of 12%. The market is projected to reach USD 3.5 billion by 2026.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on its deployment model, the computational fluid dynamics industry can be segmented into cloud-based model and on-premises model. On the basis of end uses, the market is divided into automotive, aerospace and defence, electrical and electronics, industrial machinery, energy, material and chemical processing, and others. The major regional markets for computational fluid dynamics are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa, with North America and Europe accounting for the largest share of the market. The key players in the above market include Altair Engineering, Inc., ANSYS, Inc., Autodesk Inc., COMSOL AB., Hexagon AB, and others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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