Worldwide computational fluid dynamics (CFD) market is expected to be worth US$ 2,447 million in 2023. Future Market Insights reports say that the market will expand at a projected to grow at CAGR of 8.78% between 2023 and 2033, totaling around US$ 5,679.2 million by 2033.
Increase in the demand and application of computational fluid dynamics by a wide range of end-user verticals such as automotive, aerospace and defense, electrical and electronics, industrial machinery, energy, material and chemical processing and others, high adoption of electric vehicles and surge in industrialization in the developing countries are the major factors attributable to the growth of the computational fluid dynamics market.
Computational fluid dynamics is used to analyze and solve problems that involve fluid flows. Computational fluid dynamics is a branch of fluid mechanics that envisages the impact of the flow of fluid. Computational fluid dynamics allows the end users to simulate a product's real-world performance. Helps in detecting and rectifying the designs before the manufacturing process is initiated.
Increasing demand for electric vehicles in developed economies coupled with growth and expansion of the automobile sector in developing economies is the root cause fuelling up the computational fluid dynamics market growth rate. Growth in the demand for computational fluid dynamics by the aerospace and aeronautics industries owing to the increased expenditure on technological advancements is another factor responsible for propelling growth in the computational fluid dynamics market value. Shifting trend of adoption of cloud-based computational fluid dynamics model will further create lucrative growth opportunities for the market. Rising industrialization coupled with the widening of the scope for the application of computational fluid dynamics will also directly and positively impact the growth rate of the market.
| Attributes | Details |
|---|---|
| Projected Forecast Value (2023) | US$ 2,447 million |
| Projected Forecast Value (2033) | US$ 5,679.2 million |
| Growth rate | 8.78% CAGR |
| Forecast period | 2023 to 2033 |
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Computational fluid dynamics (CFD) market grew at a CAGR of 7.69% from 2018 to 2022, as per Future Market Insights, a provider of market research and competitive intelligence.
Computational fluid codes were earlier written onto punched paper tapes at the start of any candidature and later punched cards. Getting anything done earlier was a major effort that instilled great care into your coding practices. One misplaced symbol and the entire evening were wasted as one then had to plough through a printout on sheets of green and white computer paper, find the error, punch a new card, and then position it into the deck in the correct position.
Recent reports suggest that nowadays, no one writes their own software from scratch outside of universities or research institutes undertaking fundamental research. Well-developed software packages that can now support almost every area of simulation, ranging from equation solving to system models to advanced CFD and visualization, which have thousands of man-years of development invested in them, often developed following quality control standards, and are used by the largest companies in the world.
Reduction in Product Design Time and Cost
CFD software helps improve the time to market by reducing the product development cycle and testing time and increasing the speed of the product design cycle. Usage of CFD tools yields products that are reliable and cost-effective while taking less analysis time and eliminating the need to develop multiple physical prototypes, for example, Steel Authority of India Limited (SAIL), a leading steel-making company in India, uses the ANSYS Fluent Software to reduce the cost of plant-scale experiments and testing. Such instances are expected to drive market growth during the forecast period.
Increasing Shift Toward Cloud-Based CFD
Cloud-based services create guided workflows to allow new adopters to familiarize themselves with the basic features and gain experience quickly. Cloud-based CFD can be a very tricky tool for new users, but with the help of a step-by-step approach, it is possible to guide a customer through the correct completion of an advanced CFD simulation for simple cases and these factors are expected to support the growth of the market during the forecast period.
Principal Consultant
Growing Concerns about Software and Data Privacy is One of the Factors Hampering the Computational Fluid Dynamics Market Growth.
Privacy of the CFD software is a huge concern for vendors as this creates a negative impact on the adoption of the software by end-users. Concerns over data security and privacy have been growing in the global market. Cloud-based models have been adopted to save costs, for enterprises, which have limited security control over data. Cybersecurity and issues related to software privacy might pose a critical threat to the market during the forecast period.
Shifting towards Cloud-Based Computational Fluid Dynamics
Product is only as effective as its ability to fit smoothly into its environment no matter how cleverly designed or carefully constructed, whether building a stent in healthcare, a circuit board in electronics, or a wind farm in energy applications, successful product developers have long understood that the more they understand the external factors affecting their designs, the more effective their designs will be. Building this understanding has traditionally been limited to big-budget projects able to afford computational fluid dynamics (CFD) and finite element analysis (FEA) simulation packages running on in-house high-performance computing (HPC) hardware. Emergence of cloud-based CFD and FEA tools makes detailed simulation practical for any designer.
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North America is said to Dominate the Computational Fluid Dynamics(CFD) Market Region
North America dominated the CFD market with a market share of 33.15% and is expected to continue its dominance over the forecast period owing to the presence of bio-diverse cultures and increasing automation in the manufacturing sector. Rising concerns about greenhouse gas emissions and evolving battery technologies are anticipated to spur the North American regional market. Rapid penetration of IoT and increasing expenses for defense are a few factors influencing the North American regional market share.
Asia Pacific Computational Fluid Dynamics (CFD) Market to Gain from Burgeoning Consumption of Manufacturing Sector
Asia Pacific regional market is expected to witness exponential growth over the forecast period with a CAGR of 13.2%. Rise in the implementation of integrated CFD software that can advance the efficiency of the product progress cycles is one of the emerging trends in the Asia Pacific. Some of the large CFD vendors have started providing integrated CFD software with several other PLM tools to improve the efficiency of product development cycles. Growth can be attributed to the rising government investments in developing the manufacturing sector and expanding the capacity of renewable energy generation. Growing automation of industrial equipment is likely to drive the industry demand.
Automotive is said to be Dominant in this Region
Automotive industry’s interest in computational fluid dynamics (CFD) applications stems from its ability to improve automotive design and to reduce product cost and cycle time where consumers can utilize CFD more and more in day-to-day automotive design, and can expect better conditions for CFD applications in the coming years. CFD applications in the automotive industry are as numerous as the codes available for the purpose.
Cloud-based Model is said to be the Dominant in this Region
Computational fluid dynamics (CFD) is widely used in manufacturing and engineering from product design to testing. CFD requires intensive computational power and typically needs high-performance computing to reduce potentially long experimentation times. Dedicated high-performance computing systems are often expensive for small-to-medium enterprises (SMEs). Cloud computing claims to enable low-cost access to high-performance computing without the need for capital investment. Cloud-based simulation platform for manufacturing and engineering simulation platform aims to provide a flexible and easy-to-use cloud-based platform-as-a-service (PaaS) technology that can enable SMEs to realize the benefits of high-performance computing.
Some of the prominent players in the global market are-
Some of the important developments of the key players in the market are:
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 8.78% from 2023 to 2033 |
| Market value in 2023 | US$ 2,447 million |
| Market value in 2033 | US$ 5,679.2 million |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | US$ million for Value and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis |
| Segments Covered |
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| Regions Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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| Customisation Scope | Available on Request |
The market is valued at US$ 2,447 million in 2023.
The market is estimated to reach US$ 5,679.2 million by 2033.
The market is estimated to register an 8.8% CAGR until 2033.
From 2018 to 2022, the market expanded at a 7.7% CAGR.
ESI Group, COMSOL, and Numeca International are the leading market players.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033
5.3.1. Cloud-Based
5.3.2. On-Premise
5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-Use
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By End-Use, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End-Use, 2023 to 2033
6.3.1. Aerospace & Defense
6.3.2. Automotive
6.3.3. Electrical & Electronics
6.3.4. Others
6.4. Y-o-Y Growth Trend Analysis By End-Use, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By End-Use, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Europe
7.3.4. South Asia
7.3.5. East Asia
7.3.6. Oceania
7.3.7. MEA
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. U.S.
8.2.1.2. Canada
8.2.2. By Deployment
8.2.3. By End-Use
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Deployment
8.3.3. By End-Use
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Deployment
9.2.3. By End-Use
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Deployment
9.3.3. By End-Use
9.4. Key Takeaways
10. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. U.K.
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Europe
10.2.2. By Deployment
10.2.3. By End-Use
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Deployment
10.3.3. By End-Use
10.4. Key Takeaways
11. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. India
11.2.1.2. Malaysia
11.2.1.3. Singapore
11.2.1.4. Thailand
11.2.1.5. Rest of South Asia
11.2.2. By Deployment
11.2.3. By End-Use
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Deployment
11.3.3. By End-Use
11.4. Key Takeaways
12. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. China
12.2.1.2. Japan
12.2.1.3. South Korea
12.2.2. By Deployment
12.2.3. By End-Use
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Deployment
12.3.3. By End-Use
12.4. Key Takeaways
13. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Australia
13.2.1.2. New Zealand
13.2.2. By Deployment
13.2.3. By End-Use
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Deployment
13.3.3. By End-Use
13.4. Key Takeaways
14. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Deployment
14.2.3. By End-Use
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Deployment
14.3.3. By End-Use
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. U.S.
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Deployment
15.1.2.2. By End-Use
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Deployment
15.2.2.2. By End-Use
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Deployment
15.3.2.2. By End-Use
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Deployment
15.4.2.2. By End-Use
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Deployment
15.5.2.2. By End-Use
15.6. U.K.
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Deployment
15.6.2.2. By End-Use
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Deployment
15.7.2.2. By End-Use
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Deployment
15.8.2.2. By End-Use
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Deployment
15.9.2.2. By End-Use
15.10. India
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Deployment
15.10.2.2. By End-Use
15.11. Malaysia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Deployment
15.11.2.2. By End-Use
15.12. Singapore
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Deployment
15.12.2.2. By End-Use
15.13. Thailand
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Deployment
15.13.2.2. By End-Use
15.14. China
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Deployment
15.14.2.2. By End-Use
15.15. Japan
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Deployment
15.15.2.2. By End-Use
15.16. South Korea
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Deployment
15.16.2.2. By End-Use
15.17. Australia
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Deployment
15.17.2.2. By End-Use
15.18. New Zealand
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Deployment
15.18.2.2. By End-Use
15.19. GCC Countries
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Deployment
15.19.2.2. By End-Use
15.20. South Africa
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Deployment
15.20.2.2. By End-Use
15.21. Israel
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Deployment
15.21.2.2. By End-Use
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Deployment
16.3.3. By End-Use
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Autodesk, Inc.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Dassault Systemes SE (3DS)
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Cadence Design Systems, Inc.
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. ANSYS, Inc
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Hexagon AB
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Bentley Systems, Inc.
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. ESI Group
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Backoffice Pro
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. ESS Engineering Software Steyr
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. COMSOL AB
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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Computational Fluid Dynamics (CFD) Market
