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Computational Fluid Dynamics Market Report by Deployment Model (Cloud-Based Model, On-Premises Model), End-User (Automotive, Aerospace and Defense, Electrical and Electronics, Industrial Machinery, Energy, Material and Chemical Processing, and Others), and Region 2024-2032

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    Report

  • 149 Pages
  • January 2024
  • Region: Global
  • IMARC Group
  • ID: 5936287
The global computational fluid dynamics (CFD) market size reached US$ 2,472.0 million in 2023. The market is projected to reach US$ 4,656.8 million by 2032, exhibiting a growth rate (CAGR) of 7.29% during 2023-2032. The market is experiencing moderate growth driven by the growing demand for efficient product design and optimization, rising awareness among the masses about environmental issues and the need for sustainable practices, and advancements in high-performance computing (HPC) and cloud-based solutions.

Computational Fluid Dynamics Market Analysis:

Market Growth and Size: The market is witnessing moderate growth, driven by the increasing demand for efficient product design and optimization, along with the need for reducing manufacturing costs.

Technological Advancements: Advancements in CFD software and hardware, including high-performance computing and cloud-based solutions, are enhancing simulation capabilities. This enables more complex and accurate simulations, further propelling the market growth.

Industry Applications: CFD is widely used in various industries, including aerospace, automotive, energy, and healthcare. It plays a crucial role in optimizing designs, improving product performance, and reducing development time.

Geographical Trends: North America leads the market, driven by its strong presence in industries like aerospace and automotive. However, Asia-Pacific is emerging as a fast-growing market, driven by rapid industrialization.

Competitive Landscape: The market is characterized by intense competition with key players focusing on mergers and acquisitions (M&A) and expanding their global footprint. They are also focusing on innovation and expanding service offerings.

Challenges and Opportunities: While the market faces challenges, such as the complexity of CFD simulations and the need for skilled professionals, it also encounters opportunities in the increasing adoption of CFD in emerging industries like renewable energy and biotechnology.

Future Outlook: The future of the computational fluid dynamics market looks promising, with industries emphasizing on efficiency and sustainability. The integration of artificial intelligence (AI) is making CFD an indispensable tool in product development and optimization.

Computational Fluid Dynamics Market Trends

Demand for efficient product design and optimization

Industries are increasingly relying on CFD simulations to streamline product design and optimization processes. With CFD, companies can virtually test and refine prototypes, reducing the need for costly physical testing and experimentation. This not only accelerates product development cycles but also results in more efficient and cost-effective designs. As companies are striving to remain competitive in the fast-paced business environment, the ability to quickly iterate and refine designs is a crucial advantage. CFD enables engineers and designers to analyze fluid flow, heat transfer, and other physical phenomena in intricate detail, leading to better-performing products. Moreover, as sustainability is becoming a priority, CFD helps in creating environment-friendly designs by optimizing energy efficiency and reducing waste, further increasing its adoption in various industries.

Rising environmental concerns and sustainability initiatives

The growing awareness among the masses about environmental issues and the need for sustainable practices are offering a favorable market outlook. Companies are under increasing pressure to reduce their environmental footprint and comply with stringent regulations. CFD plays a pivotal role in achieving these goals by enabling the analysis and optimization of fluid dynamics in various processes. CFD simulations assist industries in designing energy-efficient systems, minimizing emissions, and optimizing resource utilization. CFD is helping companies in making environment conscious decisions while maintaining competitiveness in their respective markets.

Advances in high-performance computing (HPC) and cloud-based solutions

The continuous advancement of computing technology is impelling the growth of the market. High-performance computing (HPC) clusters and cloud-based solutions are making complex simulations more accessible and efficient. HPC clusters offer immense computational power, enabling engineers and researchers to run large-scale CFD simulations with faster turnaround times. This accelerates the design and optimization processes, allowing for more iterations and improved accuracy. Furthermore, HPC allows for the simulation of highly complex, real-world scenarios that were previously impractical. Cloud-based CFD solutions offer scalability and flexibility. Companies can leverage cloud resources to perform simulations without the need for extensive on-premises infrastructure. This is especially beneficial for smaller businesses and startups, as it reduces upfront costs and provides access to powerful computing resources on a pay-as-you-go basis.

Expansion of CFD applications across diverse industries

The widespread adoption of CFD can be attributed to its versatility across a wide range of industries. CFD simulations are no longer limited to a few specialized sectors as they find applications in numerous fields. In the aerospace industry, CFD is used for aerodynamic analysis, leading to more fuel-efficient and safer aircraft designs. In automotive manufacturing, it aids in optimizing engine performance and vehicle aerodynamics, reducing emissions and enhancing fuel efficiency. The energy sector utilizes CFD to design more efficient turbines, enhance combustion processes, and optimize energy production.

Computational Fluid Dynamics Industry Segmentation:

The report provides an analysis of the key trends in each segment of the market, along with forecasts at the global and regional levels for 2023-2032. The report has categorized the market based on deployment model and end-user.

Breakup by Deployment Model:

  • Cloud-Based Model
  • On-Premises Model

On-premises accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the deployment model. This includes cloud-based model and on-premises model. According to the report, on-premises represented the largest segment due to its long-established presence and the preference of certain industries for maintaining complete control over their computational resources. On-premises CFD deployments are favored by organizations with stringent data security and compliance requirements. These businesses appreciate the ability to manage their hardware, software, and data in-house, ensuring complete customization and autonomy over their CFD simulations.

The cloud-based deployment model in the computational fluid dynamics market is witnessing significant growth in recent years. This segment offers the advantage of scalability, flexibility, and cost-efficiency. Organizations opt for cloud-based CFD solutions to access powerful computational resources without the need for heavy on-premises infrastructure investments. Furthermore, the cloud-based model allows for remote collaboration and easy updates, making it a preferred choice for businesses seeking agility in their CFD simulations.

Breakup by End-User:

  • Automotive
  • Aerospace and Defense
  • Electrical and Electronics
  • Industrial Machinery
  • Energy
  • Material and Chemical Processing
  • Others

Aerospace and defense hold the largest share in the industry

A detailed breakup and analysis of the market based on the end-user have also been provided in the report. This includes automotive, aerospace and defense, electrical and electronics, industrial machinery, energy, material and chemical processing, and others. According to the report, aerospace and defense accounted for the largest market share.

The aerospace and defense sector relies heavily on CFD simulations to optimize aerodynamics, analyze structural integrity, and enhance overall performance of aircraft and defense systems. CFD plays a pivotal role in reducing development time and costs while ensuring safety and efficiency in aerospace and defense applications, making it an indispensable tool for manufacturers and research institutions in this sector.

The automotive industry is another significant segment in the CFD market. Automotive companies utilize CFD simulations to fine-tune vehicle designs, improve fuel efficiency, and enhance safety features. CFD aids in analyzing airflow, combustion processes, and vehicle crash simulations, leading to the development of more fuel-efficient and safer automobiles.

In the electrical and electronics sector, CFD is employed to optimize thermal management and airflow within electronic components and devices. It assists in preventing overheating issues, ensuring the reliability and longevity of electronics. This segment is growing as electronic devices become increasingly complex and compact, necessitating precise thermal analysis.

The industrial machinery sector benefits from CFD simulations to enhance the design and performance of heavy machinery and equipment. CFD helps in optimizing fluid flow, reducing energy consumption, and improving the overall efficiency of industrial processes. This segment finds value in CFD for applications in various manufacturing and industrial settings.

The energy sector, encompassing areas, such as power generation and renewable energy, also relies on CFD to improve efficiency and reduce environmental impacts. CFD aids in the design of more efficient turbines, heat exchangers, and combustion processes, contributing to sustainable energy production and conservation.

Breakup by Region:

  • Europe
  • Asia-Pacific
  • North America
  • Middle East and Africa
  • Latin America

North America leads the market, accounting for the largest computational fluid dynamics market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include Europe, Asia-Pacific, North America, the Middle East and Africa, and Latin America. According to the report, North America accounted for the largest market share due to a robust presence of key players, significant investments in research and development (R&D) activities, and a high adoption rate of CFD solutions across various industries. The increasing utilization of CFD for applications in aerospace, automotive, energy, and other sectors is propelling the market growth. The growing focus on technological innovation and the need for advanced simulation tools is offering a favorable market outlook.

Europe is another prominent region in the CFD market, characterized by a strong presence of aerospace, automotive, and industrial manufacturing sectors. European countries like Germany, the United Kingdom, and France have a long history of using CFD for engineering design and optimization. The commitment of the region to sustainability and environmental concerns are driving CFD adoption in energy and environmental applications.

The Asia-Pacific region is experiencing rapid growth in the CFD market due to the expansion of industries, such as automotive, electronics, and energy. Countries like China, Japan, and India are investing heavily in CFD technologies to enhance product development and manufacturing processes. Additionally, the burgeoning aerospace sector in the region is catalyzing the demand for CFD solutions.

The Middle East and Africa region exhibit a growing interest in CFD, particularly in sectors, such as oil and gas, construction, and infrastructure. The need for efficient resource management and environmental considerations is driving the adoption of CFD simulations in these industries. While it may not be the largest segment, it presents opportunities for CFD providers to expand their presence in this emerging market.

Latin America is gradually embracing CFD solutions, with countries like Brazil and Mexico showing interest in industries, such as automotive and aerospace. The growth of manufacturing and energy sectors in the region is expected to contribute to the increasing adoption of CFD tools.

Leading Key Players in the Computational Fluid Dynamics Industry:

Key players in the market are continually innovating to enhance their offerings. They are investing in research and development (R&D) activities to introduce advanced CFD software that offers greater accuracy, faster simulations, and improved user interfaces. These companies are also focusing on expanding their consumer base by offering cloud based CFD solutions to cater to a wider range of industries and users. Additionally, key players are forming strategic partnerships and collaborations with industry-specific companies to provide specialized CFD solutions for sectors like aerospace, automotive, and energy. Overall, their efforts are focusing on delivering more efficient, accessible, and customizable CFD tools to meet the evolving needs of diverse markets.

Competitive Analysis

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:
  • Ansys Inc.
  • Dassault Systemes
  • COMSOL AB
  • Siemens
  • Autodesk
  • The MathWorks, Inc.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Latest News:

January 26, 2023: Ansys Inc. announced the release of Ansys 2023 R1, their latest simulation software suite. It includes several enhancements for CFD simulations, improving accuracy and efficiency in fluid dynamics analysis. With the newly launched Ansys 2023 R1, engineers can simulate more complex products faster than ever via new cloud options and optimized use of multiple graphics processing units (GPUs). The new release also amplifies the benefits of simulation by supporting collaborative, model-based systems engineering (MBSE) workflows.

March 2, 2020: Siemens announced its latest release of Simcenter™ STAR-CCM+™ software to enhance its CFD software with AI-driven capabilities for more accurate simulations. The latest release also includes automatic coupled solver control for reduced set up time while improving convergence speed and the first ever collaborative virtual reality (VR) feature of the company in a CFD code for enhanced team collaboration on simulation results. The latest release of Simcenter STAR-CCM+ includes major enhancements to improve simulation time and accuracy as well as enhance collaboration, giving consumers a comprehensive digital twin to help drive highly predictive simulations.

Key Questions Answered in This Report

1. What was the size of the global computational fluid dynamics market in 2023?
2. What is the expected growth rate of the global computational fluid dynamics market during 2024-2032?
3. What are the key factors driving the global computational fluid dynamics market?
4. What has been the impact of COVID-19 on the global computational fluid dynamics market?
5. What is the breakup of the global computational fluid dynamics market based on the deployment model?
6. What is the breakup of the global computational fluid dynamics market based on the end-user?
7. What are the key regions in the global computational fluid dynamics market?

Table of Contents

1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Computational Fluid Dynamics Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Breakup by Deployment Model
5.5 Market Breakup by End-User
5.6 Market Breakup by Region
5.7 Market Forecast
6 Market Breakup by Deployment Model
6.1 Cloud-Based Model
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 On-Premises Model
6.2.1 Market Trends
6.2.2 Market Forecast
7 Market Breakup by End-User
7.1 Automotive
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Aerospace and Defense
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Electrical and Electronics
7.3.1 Market Trends
7.3.2 Market Forecast
7.4 Industrial Machinery
7.4.1 Market Trends
7.4.2 Market Forecast
7.5 Energy
7.5.1 Market Trends
7.5.2 Market Forecast
7.6 Material and Chemical Processing
7.6.1 Market Trends
7.6.2 Market Forecast
7.7 Others
7.7.1 Market Trends
7.7.2 Market Forecast
8 Market Breakup by Region
8.1 Europe
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Asia Pacific
8.2.1 Market Trends
8.2.2 Market Forecast
8.3 North America
8.3.1 Market Trends
8.3.2 Market Forecast
8.4 Middle East and Africa
8.4.1 Market Trends
8.4.2 Market Forecast
8.5 Latin America
8.5.1 Market Trends
8.5.2 Market Forecast
9 SWOT Analysis
9.1 Overview
9.2 Strengths
9.3 Weaknesses
9.4 Opportunities
9.5 Threats
10 Value Chain Analysis
11 Porters Five Forces Analysis
11.1 Overview
11.2 Bargaining Power of Buyers
11.3 Bargaining Power of Suppliers
11.4 Degree of Competition
11.5 Threat of New Entrants
11.6 Threat of Substitutes
12 Price Analysis
13 Competitive Landscape
13.1 Market Structure
13.2 Key Players
13.3 Profiles of Key Players
13.3.1 Ansys Inc.
13.3.2 Dassault Systemes
13.3.3 COMSOL AB
13.3.4 Siemens
13.3.5 Autodesk
13.3.6 The MathWorks, Inc.
List of Figures
Figure 1: Global: Computational Fluid Dynamics Market: Major Drivers and Challenges
Figure 2: Global: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018-2023
Figure 3: Global: Computational Fluid Dynamics Market: Breakup by Deployment Model (in %), 2023
Figure 4: Global: Computational Fluid Dynamics Market: Breakup by End-User (in %), 2023
Figure 5: Global: Computational Fluid Dynamics Market: Breakup by Region (in %), 2023
Figure 6: Global: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 7: Global: Computational Fluid Dynamics Industry: SWOT Analysis
Figure 8: Global: Computational Fluid Dynamics Industry: Value Chain Analysis
Figure 9: Global: Computational Fluid Dynamics Industry: Porter’s Five Forces Analysis
Figure 10: Global: Computational Fluid Dynamics (Cloud-Based Model) Market: Sales Value (in Million US$), 2018 & 2023
Figure 11: Global: Computational Fluid Dynamics (Cloud-Based Model) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 12: Global: Computational Fluid Dynamics (On-Premises Model) Market: Sales Value (in Million US$), 2018 & 2023
Figure 13: Global: Computational Fluid Dynamics (On-Premises Model) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 14: Global: Computational Fluid Dynamics (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
Figure 15: Global: Computational Fluid Dynamics (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 16: Global: Computational Fluid Dynamics (Aerospace and Defense) Market: Sales Value (in Million US$), 2018 & 2023
Figure 17: Global: Computational Fluid Dynamics (Aerospace and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 18: Global: Computational Fluid Dynamics (Electrical and Electronics) Market: Sales Value (in Million US$), 2018 & 2023
Figure 19: Global: Computational Fluid Dynamics (Electrical and Electronics) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 20: Global: Computational Fluid Dynamics (Industrial Machinery) Market: Sales Value (in Million US$), 2018 & 2023
Figure 21: Global: Computational Fluid Dynamics (Industrial Machinery) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 22: Global: Computational Fluid Dynamics (Energy) Market: Sales Value (in Million US$), 2018 & 2023
Figure 23: Global: Computational Fluid Dynamics (Energy) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 24: Global: Computational Fluid Dynamics (Material and Chemical Processing) Market: Sales Value (in Million US$), 2018 & 2023
Figure 25: Global: Computational Fluid Dynamics (Material and Chemical Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 26: Global: Computational Fluid Dynamics (Other End-Users) Market: Sales Value (in Million US$), 2018 & 2023
Figure 27: Global: Computational Fluid Dynamics (Other End-Users) Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 28: Europe: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018 & 2023
Figure 29: Europe: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 30: Asia Pacific: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018 & 2023
Figure 31: Asia Pacific: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 32: North America: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018 & 2023
Figure 33: North America: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 34: Middle East and Africa: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018 & 2023
Figure 35: Middle East and Africa: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
Figure 36: Latin America: Computational Fluid Dynamics Market: Sales Value (in Million US$), 2018 & 2023
Figure 37: Latin America: Computational Fluid Dynamics Market Forecast: Sales Value (in Million US$), 2024-2032
List of Tables
Table 1: Global: Computational Fluid Dynamics Market: Key Industry Highlights, 2023 and 2032
Table 2: Global: Computational Fluid Dynamics Market Forecast: Breakup by Deployment Model (in Million US$), 2024-2032
Table 3: Global: Computational Fluid Dynamics Market Forecast: Breakup by End-User (in Million US$), 2024-2032
Table 4: Global: Computational Fluid Dynamics Market Forecast: Breakup by Region (in Million US$), 2024-2032
Table 5: Global: Computational Fluid Dynamics Market Structure
Table 6: Global: Computational Fluid Dynamics Market: Key Players

Companies Mentioned

  • Ansys Inc.
  • Dassault Systemes
  • COMSOL AB
  • Siemens
  • Autodesk
  • The MathWorks Inc.

Methodology

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Table Information