The Market Reports

Synopsis
The global market for Computational Fluid Dynamics (CFD) was estimated to be worth US$ 1820 million in 2024 and is forecast to a readjusted size of US$ 3082 million by 2031 with a CAGR of 7.9% during the forecast period 2025-2031.
CFD is a software application that helps end-users analyse the flow, turbulence, and pressure distribution of liquids and gases, and their interaction with structures. It also helps in predicting fluid flow, mass transfer, chemical reactions, and related phenomena. CFD uses high-speed computers, and various numerical methods and solvers to simulate the flow of fluids (gases and liquids). Simulation refers to the digital prototype of the real-world scenario. This helps detect errors in design before proceeding to production. CFD finds wide ranging applications in industries such as automotive, aerospace and defence, electrical and electronics, and energy. CFDs are used to design fuel systems, engine core compartments, cockpit and cabin ventilation, missiles, submarines, and evaluate aerodynamics in the aerospace and defence industry. This report considers the revenue generated from the offerings of CFD services and products.
Global CFD key players include ANSYS, Siemens, Dassault Systèmes, PTC, Altair Engineering, etc. Global top five manufacturers hold a share about 70%. North America is the largest market, with a share about 32%, followed by Europe and Asia-Pacific, both have a share over 58 percent. In terms of product, Maintenance and Service is the largest segment, with a share over 50%. And in terms of application, the largest application is Aerospace & Defense, followed by Automotive Industry, etc.
The primary market drivers for the CFD industry stem from the growing demand for efficient and precise simulation tools across industrial sectors. As industries such as manufacturing, aerospace, automotive, energy, and electronics increasingly prioritize product performance, CFD technology has become a critical tool for optimizing design, reducing costs, and shortening development cycles. For instance, in the automotive sector, CFD is used to enhance aerodynamic design and thermal management systems; in the energy sector, it helps improve the efficiency of wind turbines and gas turbines; and in the electronics industry, it addresses cooling challenges in high-density electronic devices. Moreover, stringent government regulations on energy conservation and emissions reduction, along with corporate emphasis on sustainable development, further propel the application of CFD technologies. The rise of cloud computing and artificial intelligence (AI) also injects new momentum into the CFD industry, enabling more efficient execution of complex simulations, lowering technical barriers, and reducing usage costs.
Trends in the CFD industry focus on technological convergence and innovative applications. First, cloud-based CFD solutions are gradually becoming mainstream, offering scalable computing resources and collaborative platforms that cater to the needs of small and medium-sized enterprises (SMEs) and research institutions. Second, the importance of multiphysics coupled simulations (such as fluid-structure interaction and fluid-thermal conduction) is becoming increasingly prominent, driving deeper integration between CFD and other simulation tools like Finite Element Analysis (FEA) and electromagnetic simulation. Additionally, AI and machine learning technologies are transforming CFD workflows, for example, by accelerating mesh generation, optimizing parameters, and predicting fluid behavior using AI. The popularity of open-source CFD software (such as OpenFOAM) also fosters industry innovation and knowledge sharing. Finally, with the emergence of digital twin technology, CFD's potential applications in real-time simulation and predictive maintenance are expanding, further broadening its market potential. These trends collectively push the CFD industry towards greater efficiency, intelligence, and accessibility.
This report aims to provide a comprehensive presentation of the global market for Computational Fluid Dynamics (CFD), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Computational Fluid Dynamics (CFD) by region & country, by Type, and by Application.
The Computational Fluid Dynamics (CFD) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computational Fluid Dynamics (CFD).
Market Segmentation
By Company
ANSYS
Siemens
Dassault Systèmes
PTC Inc.
Altair Engineering
NUMECA International (Cadence Design Systems)
Convergent Science
Hexagon AB
ESI Group (Keysight)
Autodesk
COMSOL
Flow Science
Segment by Type
Software Subscription
Maintenance and Service
Segment by Application
Aerospace and Defense
Automotive Industry
Electrical and Electronics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Computational Fluid Dynamics (CFD) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Computational Fluid Dynamics (CFD) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Computational Fluid Dynamics (CFD) in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Index