The global Computational Fluid Dynamics (CFD) market size was 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.
The global Computational Fluid Dynamics (CFD) market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
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
By Type: (Dominant Segment vs High-Margin Innovation)
Software Subscription
Maintenance and Service
By Application: (Core Demand Driver vs Emerging Opportunity)
Aerospace and Defense
Automotive Industry
Electrical and Electronics
Others
By Region
Macro-Regional Analysis: Market Size & Growth Forecasts
- North America
- Europe
- Asia-Pacific
- South America
- Middle East & Africa
Micro-Local Market Deep Dive: Strategic Insights
- Competitive Landscape: Player dominance vs. disruptors (e.g., ANSYS in Europe)
- Emerging Product Trends: Software Subscription adoption vs. Maintenance and Service premiumization
- Demand-Side Dynamics: Aerospace and Defense growth in China vs. Automotive Industry potential in North America
- Localized Consumer Needs: Regulatory hurdles in EU vs. price sensitivity in India
Focus Markets:
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
Chapter Outline
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of Computational Fluid Dynamics (CFD) market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., Maintenance and Service in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., Automotive Industry in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
Why This Report?
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Computational Fluid Dynamics (CFD) value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Software Subscription
1.2.3 Maintenance and Service
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Aerospace and Defense
1.3.3 Automotive Industry
1.3.4 Electrical and Electronics
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computational Fluid Dynamics (CFD) Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global Computational Fluid Dynamics (CFD) Revenue Market Share by Region (2020-2025)
2.4 Global Computational Fluid Dynamics (CFD) Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America Computational Fluid Dynamics (CFD) Market Size and Prospective (2020-2031)
2.5.2 Europe Computational Fluid Dynamics (CFD) Market Size and Prospective (2020-2031)
2.5.3 Asia-Pacific Computational Fluid Dynamics (CFD) Market Size and Prospective (2020-2031)
2.5.4 Latin America Computational Fluid Dynamics (CFD) Market Size and Prospective (2020-2031)
2.5.5 Middle East & Africa Computational Fluid Dynamics (CFD) Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Computational Fluid Dynamics (CFD) Historic Market Size by Type (2020-2025)
3.2 Global Computational Fluid Dynamics (CFD) Forecasted Market Size by Type (2026-2031)
3.3 Different Types Computational Fluid Dynamics (CFD) Representative Players
4 Breakdown Data by Application
4.1 Global Computational Fluid Dynamics (CFD) Historic Market Size by Application (2020-2025)
4.2 Global Computational Fluid Dynamics (CFD) Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in Computational Fluid Dynamics (CFD) Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Computational Fluid Dynamics (CFD) Players by Revenue (2020-2025)
5.1.2 Global Computational Fluid Dynamics (CFD) Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Computational Fluid Dynamics (CFD) Revenue
5.4 Global Computational Fluid Dynamics (CFD) Market Concentration Analysis
5.4.1 Global Computational Fluid Dynamics (CFD) Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Computational Fluid Dynamics (CFD) Revenue in 2024
5.5 Global Key Players of Computational Fluid Dynamics (CFD) Head office and Area Served
5.6 Global Key Players of Computational Fluid Dynamics (CFD), Product and Application
5.7 Global Key Players of Computational Fluid Dynamics (CFD), Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America Computational Fluid Dynamics (CFD) Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America Computational Fluid Dynamics (CFD) Market Size by Type (2020-2025)
6.1.2.2 North America Computational Fluid Dynamics (CFD) Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America Computational Fluid Dynamics (CFD) Market Size by Application (2020-2025)
6.1.3.2 North America Computational Fluid Dynamics (CFD) Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe Computational Fluid Dynamics (CFD) Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Computational Fluid Dynamics (CFD) Market Size by Type (2020-2025)
6.2.2.2 Europe Computational Fluid Dynamics (CFD) Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Computational Fluid Dynamics (CFD) Market Size by Application (2020-2025)
6.2.3.2 Europe Computational Fluid Dynamics (CFD) Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 Asia-Pacific Market: Players, Segments and Downstream
6.3.1 Asia-Pacific Computational Fluid Dynamics (CFD) Revenue by Company (2020-2025)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific Computational Fluid Dynamics (CFD) Market Size by Type (2020-2025)
6.3.2.2 Asia-Pacific Computational Fluid Dynamics (CFD) Market Share by Type (2020-2025)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific Computational Fluid Dynamics (CFD) Market Size by Application (2020-2025)
6.3.3.2 Asia-Pacific Computational Fluid Dynamics (CFD) Market Share by Application (2020-2025)
6.3.4 Asia-Pacific Market Trend and Opportunities
6.4 Latin America Market: Players, Segments and Downstream
6.4.1 Latin America Computational Fluid Dynamics (CFD) Revenue by Company (2020-2025)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America Computational Fluid Dynamics (CFD) Market Size by Type (2020-2025)
6.4.2.2 Latin America Computational Fluid Dynamics (CFD) Market Share by Type (2020-2025)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America Computational Fluid Dynamics (CFD) Market Size by Application (2020-2025)
6.4.3.2 Latin America Computational Fluid Dynamics (CFD) Market Share by Application (2020-2025)
6.4.4 Latin America Market Trend and Opportunities
6.5 Middle East & Africa Market: Players, Segments and Downstream
6.5.1 Middle East & Africa Computational Fluid Dynamics (CFD) Revenue by Company (2020-2025)
6.5.2 Middle East & Africa Market Size by Type
6.5.2.1 Middle East & Africa Computational Fluid Dynamics (CFD) Market Size by Type (2020-2025)
6.5.2.2 Middle East & Africa Computational Fluid Dynamics (CFD) Market Share by Type (2020-2025)
6.5.3 Middle East & Africa Market Size by Application
6.5.3.1 Middle East & Africa Computational Fluid Dynamics (CFD) Market Size by Application (2020-2025)
6.5.3.2 Middle East & Africa Computational Fluid Dynamics (CFD) Market Share by Application (2020-2025)
6.5.4 Middle East & Africa Market Trend and Opportunities
7 Key Players Profiles
7.1 ANSYS
7.1.1 ANSYS Company Details
7.1.2 ANSYS Business Overview
7.1.3 ANSYS Computational Fluid Dynamics (CFD) Introduction
7.1.4 ANSYS Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.1.5 ANSYS Recent Development
7.2 Siemens
7.2.1 Siemens Company Details
7.2.2 Siemens Business Overview
7.2.3 Siemens Computational Fluid Dynamics (CFD) Introduction
7.2.4 Siemens Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.2.5 Siemens Recent Development
7.3 Dassault Systèmes
7.3.1 Dassault Systèmes Company Details
7.3.2 Dassault Systèmes Business Overview
7.3.3 Dassault Systèmes Computational Fluid Dynamics (CFD) Introduction
7.3.4 Dassault Systèmes Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.3.5 Dassault Systèmes Recent Development
7.4 PTC Inc.
7.4.1 PTC Inc. Company Details
7.4.2 PTC Inc. Business Overview
7.4.3 PTC Inc. Computational Fluid Dynamics (CFD) Introduction
7.4.4 PTC Inc. Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.4.5 PTC Inc. Recent Development
7.5 Altair Engineering
7.5.1 Altair Engineering Company Details
7.5.2 Altair Engineering Business Overview
7.5.3 Altair Engineering Computational Fluid Dynamics (CFD) Introduction
7.5.4 Altair Engineering Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.5.5 Altair Engineering Recent Development
7.6 NUMECA International (Cadence Design Systems)
7.6.1 NUMECA International (Cadence Design Systems) Company Details
7.6.2 NUMECA International (Cadence Design Systems) Business Overview
7.6.3 NUMECA International (Cadence Design Systems) Computational Fluid Dynamics (CFD) Introduction
7.6.4 NUMECA International (Cadence Design Systems) Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.6.5 NUMECA International (Cadence Design Systems) Recent Development
7.7 Convergent Science
7.7.1 Convergent Science Company Details
7.7.2 Convergent Science Business Overview
7.7.3 Convergent Science Computational Fluid Dynamics (CFD) Introduction
7.7.4 Convergent Science Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.7.5 Convergent Science Recent Development
7.8 Hexagon AB
7.8.1 Hexagon AB Company Details
7.8.2 Hexagon AB Business Overview
7.8.3 Hexagon AB Computational Fluid Dynamics (CFD) Introduction
7.8.4 Hexagon AB Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.8.5 Hexagon AB Recent Development
7.9 ESI Group (Keysight)
7.9.1 ESI Group (Keysight) Company Details
7.9.2 ESI Group (Keysight) Business Overview
7.9.3 ESI Group (Keysight) Computational Fluid Dynamics (CFD) Introduction
7.9.4 ESI Group (Keysight) Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.9.5 ESI Group (Keysight) Recent Development
7.10 Autodesk
7.10.1 Autodesk Company Details
7.10.2 Autodesk Business Overview
7.10.3 Autodesk Computational Fluid Dynamics (CFD) Introduction
7.10.4 Autodesk Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.10.5 Autodesk Recent Development
7.11 COMSOL
7.11.1 COMSOL Company Details
7.11.2 COMSOL Business Overview
7.11.3 COMSOL Computational Fluid Dynamics (CFD) Introduction
7.11.4 COMSOL Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.11.5 COMSOL Recent Development
7.12 Flow Science
7.12.1 Flow Science Company Details
7.12.2 Flow Science Business Overview
7.12.3 Flow Science Computational Fluid Dynamics (CFD) Introduction
7.12.4 Flow Science Revenue in Computational Fluid Dynamics (CFD) Business (2020-2025)
7.12.5 Flow Science Recent Development
8 Computational Fluid Dynamics (CFD) Market Dynamics
8.1 Computational Fluid Dynamics (CFD) Industry Trends
8.2 Computational Fluid Dynamics (CFD) Market Drivers
8.3 Computational Fluid Dynamics (CFD) Market Challenges
8.4 Computational Fluid Dynamics (CFD) Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
ANSYS
Siemens
Dassault Systèmes
PTC Inc.
Altair Engineering
NUMECA International (Cadence Design Systems)
Convergent Science
Hexagon AB
ESI Group (Keysight)
Autodesk
COMSOL
Flow Science
Ěý
Ěý
*If Applicable.
