Computational Fluid Dynamics Market by Function (Dynamic Modeling, Failure Analysis, Structural Analysis), Deployment (On-Cloud, On-Premise), End Use - Global Forecast 2024-2030

Computational Fluid Dynamics Market by Function (Dynamic Modeling, Failure Analysis, Structural Analysis), Deployment (On-Cloud, On-Premise), End Use - Global Forecast 2024-2030


The Computational Fluid Dynamics Market size was estimated at USD 2.85 billion in 2023 and expected to reach USD 3.06 billion in 2024, at a CAGR 8.32% to reach USD 4.99 billion by 2030.

Computational fluid dynamics (CFD) refers to using numerical methods and algorithms to solve and analyze fluid flow problems. CFD is applied in various fields such as aerospace, automotive, energy, and electronics to simulate fluid interactions with surfaces and within systems under different conditions. The market encompasses software tools and services that enable this computational analysis. Determinants for market growth include technological advancements that increase CFD software capabilities, higher computing power at lower costs, and the growing emphasis on product optimization and eco-friendly designs. Improvements in user interface and user experience of CFD software are also aiding market expansion by making these tools more accessible to engineers and designers without specialized CFD knowledge. Limitations in the CFD market stem from the high cost of CFD software and the need for specialized knowledge to operate it effectively. It is also challenging to adequately model complex physics and chemical reactions, sometimes resulting in a gap between simulation and real-world outcomes. However, integrating artificial intelligence (AI) and machine learning improves simulation accuracy and speed, which presents a substantial opportunity. Additionally, there is growing demand in emerging markets such as India and China due to rapid industrialization and the expansion of research and development activities.

Regional Insights

In the Americas, the United States and Canada are significant players in the CFD market with advanced research capabilities and high adoption rates in various industries such as aerospace, defense, and automotive. Europe has a strong engineering base, with CFD used across automotive, aerospace, and energy industries. Germany, the UK, and France are the key contributors with significant investments in CFD research and applications. CFD usage in EMEA is also characterized by its integration with environmental initiatives, such as wind and tidal energy projects. APAC is the fastest-growing region in the CFD market, driven by industrial growth in countries like China, Japan, South Korea, and India. The demand is primarily fueled by the automotive, electronics, and aerospace industries, with local companies collaborating with global CFD providers to improve their competencies.

Market Insights
  • Market Dynamics

    The market dynamics represent an ever-changing landscape of the Computational Fluid Dynamics Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
    • Market Drivers
      • Growing Usage of CFD in the Aerospace and Aeronautics Industries
      • Booming Automotive Industry Globally
      • Elevating Applications in the Data Centers
      • Market Restraints
        • High Cost and Certain Limitations Associated With CFD
        • Market Opportunities
          • Developments in Computational Fluid Dynamics and Adoption of Cloud Solutions
          • Emerging Role of CFD in Healthcare and Biomedical Engineering
          • Market Challenges
            • Validation Problems in Computational Fluid Mechanics
            • Market Segmentation Analysis
              • Function: Advancement in dynamic modeling across industrial setting to manage temporal changes
              • Deployment: Growing preferences for on-cloud CFD for scalability, flexibility, and reduced capital expenses
              • End-use: Deployment of CFD across aerospace & defense sector to manage complex aerodynamic structures
              • Market Disruption Analysis
              • Porter’s Five Forces Analysis
              • Value Chain & Critical Path Analysis
              • Pricing Analysis
              • Technology Analysis
              • Patent Analysis
              • Trade Analysis
              • Regulatory Framework Analysis
              FPNV Positioning Matrix

              The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Computational Fluid Dynamics Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

              Market Share Analysis

              The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Computational Fluid Dynamics Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

              Recent Developments
              • Dotmatics Acquires M-Star to Expand Presence in Bioprocessing and Chemicals & Materials Markets

                Dotmatics, a frontrunner in scientific research and development software, acquired M-Star, a premier provider of computational fluid dynamics (CFD) software solutions. This significant move marks a consolidation of expertise, setting the stage for groundbreaking advancements in the bioprocessing sector, which is critical to the manufacturing processes of cell and gene therapies in life sciences research and development. Integrating M-Star's prowess into Dotmatics's portfolio is set to accelerate innovation, drive efficiencies, and enhance decision-making in life sciences R&D markets.

                HPE Unveils Advanced Computational Fluid Dynamics Solutions for Sauber Motorsport

                Hewlett Packard Enterprise (HPE) partnered with Sauber Motorsport AG to enhance the aerodynamic capabilities of their Formula One racers through a state-of-the-art high-performance computing (HPC) solution. The collaborative effort birthed an innovative system whose computational fluid dynamics (CFD) prowess eclipses its predecessor, providing superior computing power to expedite aerodynamic simulations.

                Ansys' Global Partnership with F1 in Schools Empowers and Inspires New Generation of Engineers

                Ansys collaborated with F1 in Schools, enhancing the program's contribution to global STEM education. As part of this collaboration, Ansys will provide cutting-edge Computational Fluid Dynamics (CFD) simulation tools to student teams, elevating the educational experience by offering practical, hands-on applications of professional engineering software. This support helps bridge the gap between theoretical concepts and real-world engineering challenges.
              Strategy Analysis & Recommendation

              The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Computational Fluid Dynamics Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

              Key Company Profiles

              The report delves into recent significant developments in the Computational Fluid Dynamics Market, highlighting leading vendors and their innovative profiles. These include Airflow Sciences Corporation, Altair Engineering Inc., ANSYS, Inc., Autodesk, Inc., Azore Software, LLC, byteLAKE, Cadence Design Systems, Inc., Cape CFD, COMSOL, Inc., Convergent Science, Inc., Dassault Systèmes SE, Desanco, Dive Solutions GmbH, ESI Group, FEXILON TECHNOLOGIES, Graphler Technology Solutions, Hexagon AB, Hitech Digital Solutions LLP, Mr CFD Company, LLC, PD Solutions, PTC Inc., Resolved Analytics, PLLC, Siemens AG, Simerics Inc., Streamwise GmbH, Symscape, Tridiagonal Solutions Pvt. Ltd., and VirtusAero, LLC.

              Market Segmentation & Coverage

              This research report categorizes the Computational Fluid Dynamics Market to forecast the revenues and analyze trends in each of the following sub-markets:
              • Function
                • Dynamic Modeling
                • Failure Analysis
                • Structural Analysis
                • Thermal-Fluids
                • Thermal-Structural
                • Deployment
                  • On-Cloud
                  • On-Premise
                  • End Use
                    • Aerospace & Defense
                    • Automotive
                    • Data Centers
                    • Electronics & Energy
                    • Food & Beverage
                    • Pharmaceuticals & Medical Devices
                    • Region
                      • Americas
                        • Argentina
                        • Brazil
                        • Canada
                        • Mexico
                        • United States
                          • California
                          • Florida
                          • Illinois
                          • New York
                          • Ohio
                          • Pennsylvania
                          • Texas
                          • Asia-Pacific
                            • Australia
                            • China
                            • India
                            • Indonesia
                            • Japan
                            • Malaysia
                            • Philippines
                            • Singapore
                            • South Korea
                            • Taiwan
                            • Thailand
                            • Vietnam
                            • Europe, Middle East & Africa
                              • Denmark
                              • Egypt
                              • Finland
                              • France
                              • Germany
                              • Israel
                              • Italy
                              • Netherlands
                              • Nigeria
                              • Norway
                              • Poland
                              • Qatar
                              • Russia
                              • Saudi Arabia
                              • South Africa
                              • Spain
                              • Sweden
                              • Switzerland
                              • Turkey
                              • United Arab Emirates
                              • United Kingdom


                              Please Note: PDF & Excel + Online Access - 1 Year


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Growing Usage of CFD in the Aerospace and Aeronautics Industries
5.1.1.2. Booming Automotive Industry Globally
5.1.1.3. Elevating Applications in the Data Centers
5.1.2. Restraints
5.1.2.1. High Cost and Certain Limitations Associated With CFD
5.1.3. Opportunities
5.1.3.1. Developments in Computational Fluid Dynamics and Adoption of Cloud Solutions
5.1.3.2. Emerging Role of CFD in Healthcare and Biomedical Engineering
5.1.4. Challenges
5.1.4.1. Validation Problems in Computational Fluid Mechanics
5.2. Market Segmentation Analysis
5.2.1. Function: Advancement in dynamic modeling across industrial setting to manage temporal changes
5.2.2. Deployment: Growing preferences for on-cloud CFD for scalability, flexibility, and reduced capital expenses
5.2.3. End-use: Deployment of CFD across aerospace & defense sector to manage complex aerodynamic structures
5.3. Market Trend Analysis
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter’s Five Forces Analysis
5.6.1. Threat of New Entrants
5.6.2. Threat of Substitutes
5.6.3. Bargaining Power of Customers
5.6.4. Bargaining Power of Suppliers
5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework Analysis
5.9. Client Customization
6. Computational Fluid Dynamics Market, by Function
6.1. Introduction
6.2. Dynamic Modeling
6.3. Failure Analysis
6.4. Structural Analysis
6.5. Thermal-Fluids
6.6. Thermal-Structural
7. Computational Fluid Dynamics Market, by Deployment
7.1. Introduction
7.2. On-Cloud
7.3. On-Premise
8. Computational Fluid Dynamics Market, by End Use
8.1. Introduction
8.2. Aerospace & Defense
8.3. Automotive
8.4. Data Centers
8.5. Electronics & Energy
8.6. Food & Beverage
8.7. Pharmaceuticals & Medical Devices
9. Americas Computational Fluid Dynamics Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Computational Fluid Dynamics Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Computational Fluid Dynamics Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.3.1. Dotmatics Acquires M-Star to Expand Presence in Bioprocessing and Chemicals & Materials Markets
12.3.2. HPE Unveils Advanced Computational Fluid Dynamics Solutions for Sauber Motorsport
12.3.3. Ansys' Global Partnership with F1 in Schools Empowers and Inspires New Generation of Engineers
13. Competitive Portfolio
13.1. Key Company Profiles
13.2. Key Product Portfolio

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