Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows. Computers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid (liquids and gases) with surfaces defined by boundary conditions. With high-speed supercomputers, better solutions can be achieved, and are often required to solve the largest and most complex problems. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. Initial validation of such software is typically performed using experimental apparatus such as wind tunnels. In addition, previously performed analytical or empirical analysis of a particular problem can be used for comparison. A final validation is often performed using full-scale testing, such as flight tests.
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Case numbers are resurging in parts of the world where the COVID-19 pandemic was waning, falling in places that saw huge surges recently, and just beginning to rise in previously little-impacted parts of the globe.
Studying and analyzing the impact of Coronavirus COVID-19 on the Computational Fluid Dynamics industry, the report provide in-depth analysis and professtional advices on how to face the post COIVD-19 period.
Market Segment by Product Type
PERSONAL
COMMERICAL
Market Segment by Product Application
Aerospace & Defense Industry
Automotive Industry
Electrical and Electronics Industry
Others
Finally, the report provides detailed profile and data information analysis of leading company.
ANSYS
Autodesk
EXA
CD-adapco
Altair Engineering
Mentor Graphics
Convergent Science
COMSOL
Dassault Syst?mes
NUMECA International
Insights and Tools:
Projected and forecast revenue values are in constant U.S. dollars, unadjusted for inflation.
Product values and regional markets are estimated by market analyst, data analyst and people from related industry, based on companys' revenue and applications market respectively.
The data sources include but not limited to reports of companys,international organizations and governments, MMI market surveys,and related industry news.
Analyses of global market trends, with historical data, estimates for 2022 and projections of compound annual growth rates (CAGRs) through 2027
The market research includes historical and forecast data from like demand, application details, price trends, and company shares by geography, especially focuses on the key regions like United States, European Union, China, and other regions.
In addition, the report provides insight into main drivers,challenges,opportunities and risk of the market and strategies of suppliers. Key players are profiled as well with their market shares in the global market discussed.
Research Objectives
1.To study and analyze the global Computational Fluid Dynamics consumption (value) by key regions/countries, product type and application, history data from 2017 to 2021, and forecast to 2027.
2.To understand the structure of Computational Fluid Dynamics market by identifying its various subsegments.
3.Focuses on the key global Computational Fluid Dynamics manufacturers, to define, describe and analyze the value, market share, market competition landscape, Porter's five forces analysis, SWOT analysis and development plans in next few years.
4.To analyze the Computational Fluid Dynamics with respect to individual growth trends, future prospects, and their contribution to the total market.
5.To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
6.To project the consumption of Computational Fluid Dynamics submarkets, with respect to key regions (along with their respective key countries).
7.To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
8.To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Contents
Global Computational Fluid Dynamics Market Status and Outlook 2022-2027
Market Study Overview
1.1 Study Objectives
1.2 Computational Fluid Dynamics Introduce
1.3 Combined with the Analysis of Macroeconomic Indicators
1.4 Brief Description of Research methods
1.5 Market Breakdown and Data Triangulation
2 Global Trend Summary
2.1 Computational Fluid Dynamics Segment by Type
2.1.1 PERSONAL
2.1.2 COMMERICAL
2.2 Market Analysis by Application
2.2.1 Aerospace & Defense Industry
2.2.2 Automotive Industry
2.2.3 Electrical and Electronics Industry
2.2.4 Others
2.3 Global Computational Fluid Dynamics Market Comparison by Regions (2017-2027)
2.3.1 Global Computational Fluid Dynamics Market Size (2017-2027)
2.3.2 North America Computational Fluid Dynamics Status and Prospect (2017-2027)
2.3.3 Europe Computational Fluid Dynamics Status and Prospect (2017-2027)
2.3.4 Asia-pacific Computational Fluid Dynamics Status and Prospect (2017-2027)
2.3.5 South America Computational Fluid Dynamics Status and Prospect (2017-2027)
2.3.6 Middle East & Africa Computational Fluid Dynamics Status and Prospect (2017-2027)
2.5 Coronavirus Disease 2019 (Covid-19): Computational Fluid Dynamics Industry Impact
2.5.1 Computational Fluid Dynamics Business Impact Assessment - Covid-19
2.5.2 Market Trends and Computational Fluid Dynamics Potential Opportunities in the COVID-19 Landscape
2.5.3 Measures / Proposal against Covid-19
3 Competition by Vendors
3.1 Global Computational Fluid Dynamics Revenue and Market Share by Vendors (2017-2022)
3.2 Global Computational Fluid Dynamics Industry Concentration Ratio (CR5 and HHI)
3.3 Top 5 Computational Fluid Dynamics Vendors Market Share
3.4 Top 10 Computational Fluid Dynamics Vendors Market Share
3.5 Date of Key Vendors Enter into Computational Fluid Dynamics Market
3.6 Key Vendors Computational Fluid Dynamics Product Offered
3.7 Mergers & Acquisitions Planning
4 Analysis of Computational Fluid Dynamics Industry Key Vendors
4.1 ANSYS
4.1.1 Company Details
4.1.2 Product Introduction, Application and Specification
4.1.3 ANSYS Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.1.4 Main Business Overview
4.1.5 ANSYS News
4.2 Autodesk
4.2.1 Company Details
4.2.2 Product Introduction, Application and Specification
4.2.3 Autodesk Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.2.4 Main Business Overview
4.2.5 Autodesk News
4.3 EXA
4.3.1 Company Details
4.3.2 Product Introduction, Application and Specification
4.3.3 EXA Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.3.4 Main Business Overview
4.3.5 EXA News
4.4 CD-adapco
4.4.1 Company Details
4.4.2 Product Introduction, Application and Specification
4.4.3 CD-adapco Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.4.4 Main Business Overview
4.4.5 CD-adapco News
4.5 Altair Engineering
4.5.1 Company Details
4.5.2 Product Introduction, Application and Specification
4.5.3 Altair Engineering Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.5.4 Main Business Overview
4.5.5 Altair Engineering News
4.6 Mentor Graphics
4.6.1 Company Details
4.6.2 Product Introduction, Application and Specification
4.6.3 Mentor Graphics Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.6.4 Main Business Overview
4.6.5 Mentor Graphics News
4.7 Convergent Science
4.7.1 Company Details
4.7.2 Product Introduction, Application and Specification
4.7.3 Convergent Science Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.7.4 Main Business Overview
4.7.5 Convergent Science News
4.8 COMSOL
4.8.1 Company Details
4.8.2 Product Introduction, Application and Specification
4.8.3 COMSOL Computational Fluid Dynamics Gross Margin, and Revenue (2017-2022)
4.8.4 Main Business Overview
4.8.5 COMSOL News
4.9 Dassault Syst
ANSYS
Autodesk
EXA
CD-adapco
Altair Engineering
Mentor Graphics
Convergent Science
COMSOL
Dassault Syst