The global computational fluid dynamics market was valued at $2.6 billion in 2023, and is projected to reach $5.3 billion by 2033, growing at a CAGR of 7.2% from 2024 to 2033.
Computational Fluid Dynamics (CFD) is the science of using numerical methods and algorithms to analyze and solve problems involving fluid flows - basically simulating how gases or liquids behave under different conditions using a computer. It enables engineers and researchers to model complex fluid dynamics scenarios, optimize designs, and improve product performance across industries such as aerospace, automotive, energy, healthcare, and manufacturing. CFD solutions reduce the need for physical testing by leveraging numerical methods and computational algorithms, saving time and costs in the product development process.
The Computational Fluid Dynamics (CFD) market is experiencing steady growth, driven by several key factors. One of the primary drivers is the increasing demand for simulation-based design and engineering across industries such as automotive, aerospace, energy, and healthcare. As companies aim to reduce product development cycles, costs, and reliance on physical prototyping, CFD provides a powerful tool for virtual testing and optimization. Rise in proliferation of high-performance computing (HPC) and surge in adoption of cloud-based simulation platforms are further enabling more complex and large-scale simulations, boosting the market’s accessibility and scalability. In addition, the increasing focus on sustainability and energy efficiency has led to the use of CFD in optimizing HVAC systems, wind energy designs, and reducing emissions in industrial processes.
However, the market faces several restraints that could impact its growth. One major challenge is the high cost of commercial CFD software licenses and the required computing infrastructure, which can be a barrier for small and medium-sized enterprises. Moreover, the complexity of CFD simulations often necessitates specialized expertise, creating a skills gap and limiting broader adoption. In some industries, regulatory challenges and the need for extensive validation of simulation results can also slow down the implementation of CFD solutions.
Despite these restraints, there are significant opportunities that promise to shape the future of the CFD market. The growing integration of artificial intelligence and machine learning with CFD is opening new possibilities for accelerating simulations and improving predictive accuracy. The expansion of CFD applications into emerging fields like biomedical engineering (e.g., simulating blood flow or respiratory systems) and electronics cooling is also expanding the addressable market. Furthermore, increased investment in digital twins and smart manufacturing is expected to drive further demand for real-time simulation capabilities, positioning CFD as a core technology in the next generation of industrial innovation. For instance, in 2021, Altair acquired Flow Simulator from GE Aviation, further solidifying their partnership and expanding into new industries such as healthcare, locomotives, and renewable energy.
Computational Fluid Dynamics (CFD) is the science of using numerical methods and algorithms to analyze and solve problems involving fluid flows - basically simulating how gases or liquids behave under different conditions using a computer. It enables engineers and researchers to model complex fluid dynamics scenarios, optimize designs, and improve product performance across industries such as aerospace, automotive, energy, healthcare, and manufacturing. CFD solutions reduce the need for physical testing by leveraging numerical methods and computational algorithms, saving time and costs in the product development process.
The Computational Fluid Dynamics (CFD) market is experiencing steady growth, driven by several key factors. One of the primary drivers is the increasing demand for simulation-based design and engineering across industries such as automotive, aerospace, energy, and healthcare. As companies aim to reduce product development cycles, costs, and reliance on physical prototyping, CFD provides a powerful tool for virtual testing and optimization. Rise in proliferation of high-performance computing (HPC) and surge in adoption of cloud-based simulation platforms are further enabling more complex and large-scale simulations, boosting the market’s accessibility and scalability. In addition, the increasing focus on sustainability and energy efficiency has led to the use of CFD in optimizing HVAC systems, wind energy designs, and reducing emissions in industrial processes.
However, the market faces several restraints that could impact its growth. One major challenge is the high cost of commercial CFD software licenses and the required computing infrastructure, which can be a barrier for small and medium-sized enterprises. Moreover, the complexity of CFD simulations often necessitates specialized expertise, creating a skills gap and limiting broader adoption. In some industries, regulatory challenges and the need for extensive validation of simulation results can also slow down the implementation of CFD solutions.
Despite these restraints, there are significant opportunities that promise to shape the future of the CFD market. The growing integration of artificial intelligence and machine learning with CFD is opening new possibilities for accelerating simulations and improving predictive accuracy. The expansion of CFD applications into emerging fields like biomedical engineering (e.g., simulating blood flow or respiratory systems) and electronics cooling is also expanding the addressable market. Furthermore, increased investment in digital twins and smart manufacturing is expected to drive further demand for real-time simulation capabilities, positioning CFD as a core technology in the next generation of industrial innovation. For instance, in 2021, Altair acquired Flow Simulator from GE Aviation, further solidifying their partnership and expanding into new industries such as healthcare, locomotives, and renewable energy.
Segment Review
The CFD market is segmented on the basis of component, deployment mode, end user, and region. By component, it is divided into software and services. On the basis of deployment mode, the market is bifurcated into cloud based and on-premise. By end user, it is categorized into automotive, aerospace, manufacturing, energy, material & chemical processing, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.Key Findings
- By component, the solution segment accounted for the largest computational fluid dynamics market share in 2023.
- By deployment mode, the on-premise segment accounted for the largest computational fluid dynamics market in 2023.
- By end user, the automotive segment accounted for the largest computational fluid dynamics market size in 2023.
- Region wise, North America generated the highest revenue in 2023.
Competition Analysis
The key players profiled in the computational fluid dynamics market analysis are Altair Engineering Inc., ANSYS, Inc., Autodesk, Inc., COMSOL AB, Dassault Systemes, Flow Science, Inc., Hexagon AB, Siemens A.G., SimScale GmbH, The MathWorks, Inc., The AnyLogic Company., National Instruments, PTC Inc., Cadence Design Systems, Inc., M-Star Simulations, LLC, Maya HTT, Simulent Consulting, Inc., Tridiagonal Solutions, Quest Consultants Inc., EnginSoft SpA.Key Benefits for Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the computational fluid dynamics market analysis from 2023 to 2033 to identify the prevailing computational fluid dynamics market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the computational fluid dynamics market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global computational fluid dynamics market trends, key players, market segments, application areas, and market growth strategies.
Additional benefits you will get with this purchase are:
- Quarterly Update and* (only available with a corporate license, on listed price)
- 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
- Free Upcoming Version on the Purchase of Five and Enterprise User License.
- 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
- 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
- Free data Pack on the Five and Enterprise User License. (Excel version of the report)
- Free Updated report if the report is 6-12 months old or older.
- 24-hour priority response*
- Free Industry updates and white papers.
Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
- Market share analysis of players by products/segments
- Additional company profiles with specific to client's interest
- Additional country or region analysis- market size and forecast
- Criss-cross segment analysis- market size and forecast
- Expanded list for Company Profiles
- Historic market data
- Market share analysis of players at global/region/country level
- SWOT Analysis
Key Market Segments
By Component
- Software
- Services
By Deployment Mode
- On-premise
- Cloud
By End User
- Automotive
- Aerospace
- Manufacturing
- Energy
- Material and Chemical Processing
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- Altair Engineering Inc.
- ANSYS, Inc.
- Dassault Systemes
- Hexagon AB
- The MathWorks, Inc.
- PTC Inc.
- Flow Science, Inc.
- COMSOL AB
- M-Star Simulations, LLC
- Tridiagonal Solutions
- EnginSoft SpA
- Simulent Consulting, Inc.
- SimScale GmbH
- Autodesk, Inc.
- Siemens A.G.
- The AnyLogic Company.
- Cadence Design Systems, Inc.
- Quest Consultants Inc.
- National Instruments
- Maya HTT
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: COMPUTATIONAL FLUID DYNAMICS MARKET, BY COMPONENT
CHAPTER 5: COMPUTATIONAL FLUID DYNAMICS MARKET, BY DEPLOYMENT MODE
CHAPTER 6: COMPUTATIONAL FLUID DYNAMICS MARKET, BY END USER
CHAPTER 7: COMPUTATIONAL FLUID DYNAMICS MARKET, BY REGION
CHAPTER 8: COMPETITIVE LANDSCAPE
CHAPTER 9: COMPANY PROFILES
LIST OF TABLES
LIST OF FIGURES
Companies Mentioned
- Altair Engineering Inc.
- ANSYS, Inc.
- Dassault Systemes
- Hexagon AB
- The MathWorks, Inc.
- PTC Inc.
- Flow Science, Inc.
- COMSOL AB
- M-Star Simulations, LLC
- Tridiagonal Solutions
- EnginSoft SpA
- Simulent Consulting, Inc.
- SimScale GmbH
- Autodesk, Inc.
- Siemens A.G.
- The AnyLogic Company.
- Cadence Design Systems, Inc.
- Quest Consultants Inc.
- National Instruments
- Maya HTT
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
LOADING...
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 395 |
| Published | March 2025 |
| Forecast Period | 2023 - 2033 |
| Estimated Market Value ( USD | $ 2.6 billion |
| Forecasted Market Value ( USD | $ 5.3 billion |
| Compound Annual Growth Rate | 7.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |
