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