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1787917

計算流體力學市場預測至 2032 年：按組件、部署類型、尺寸、應用、最終用戶和地區進行的全球分析

Computational Fluid Dynamics Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Type (On-Premise and Cloud-Based), Dimension, Application, End User and By Geography

出版日期: 2025年08月07日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，全球計算流體力學市場預計在 2025 年達到 31 億美元，到 2032 年將達到 57 億美元，預測期內的複合年成長率為 9.2%。

計算流體力學(CFD) 是動態的一個分支，它使用數值技術和演算法來分析和解決與流體流動相關的問題。透過使用電腦模擬液體和氣體與表面的相互作用，CFD 可以直覺地洞察流動行為、壓力分佈和溫度變化。它對於航太、汽車、能源和醫療保健等領域的工程和設計最佳化至關重要。 CFD 模型可以提高性能，高精度地預測現實世界的流體動態，並減少對物理原型的需求，從而降低測試和創新的成本。

強大的仿真能力

這些先進的工具無需昂貴的實體原型，加速了產品開發。透過模擬真實環境，工程師可以提高設計的有效性、安全性和效能。改進的可視化功能可以更早發現錯誤，減少返工和成本。此類模擬對於能源、汽車和航太等領域的創新和合規性至關重要。隨著處理能力的提升，CFD 工具的普及率越來越高，進而應用於更廣泛的產業。

學習難度

熟練使用 CFD 軟體需要具備動態、動態和數值方法的高階知識。這種複雜性通常限制了高技能專業人員和專業行業的採用。規模較小的公司和新用戶可能面臨技術障礙和高昂的培訓成本，導致實施過程耗費大量時間和資源。這阻礙了更廣泛的市場滲透，尤其是在新興經濟體和非技術終端用戶中。

新興市場和雲端基礎的採用

雲端解決方案支援可擴展的模擬和快速處理，無需前期投資大型基礎設施。高階 CFD 解決方案正透過訂閱模式面向新興企業和中小型企業開放，進而提升市場滲透率。遠端存取和即時協作提升了國際團隊的設計效率。雲端基礎的人工智慧與機器學習的整合提高了預測準確性，並加快了研發週期。雲端基礎的CFD 使高階模擬更加普及，並促進了其在產業中的廣泛應用。

與其他工具的衝突

用戶被人工智慧驅動的模擬和啟發式建模等替代方案所吸引，因為它們能夠提供更快的周轉時間。由於整合多物理場平台在許多行業中比獨立 CFD 軟體更受青睞，CFD市場佔有率正在下降。商業 CFD 供應商面臨開放原始碼軟體提供的經濟實惠替代方案的挑戰。此外，非專業人士也被具有自動化功能和無程式碼介面的軟體所吸引，從而限制了傳統 CFD 的使用。激烈的競爭迫使 CFD 供應商不斷創新，從而推高了開發成本，並造成了市場的不可預測性。

COVID-19的影響

新冠疫情嚴重擾亂了計算流體力學(CFD) 市場，減緩了航太、汽車和能源等領域的工業運作、研發活動以及新計畫的推出。供應鏈中斷和資本支出減少導致計劃推遲，CFD 軟體需求也暫時下降。然而，這場危機也加速了數位轉型，凸顯了對虛擬測試、遠端模擬和高效設計流程的需求。隨著產業逐漸適應新的工作模式，CFD 工具再次成為最佳化設計和在不確定性時期保持生產力的關鍵。

預計軟體領域將成為預測期內最大的領域

預計軟體領域將在預測期內佔據最大的市場佔有率，這得益於其在複雜流體流動分析方面的先進模擬能力。 CFD 軟體的持續改進，例如改進的使用者介面和與人工智慧的整合，正在推動其在各行各業的普及。經濟高效的虛擬測試減少了對實體原型的需求，從而節省了時間和資源。雲端基礎的CFD 平台可提供可擴展且易於存取的運算能力，用於即時分析。因此，能源等產業越來越依賴 CFD 軟體進行高效的產品設計和最佳化。

醫療保健和醫療設備領域預計將在預測期內實現最高複合年成長率

由於吸入器、人工呼吸器和血流模擬器等設備設計精度的提高，預計醫療保健和醫療設備產業將在預測期內呈現最高成長率。計算流體力學 (CFD) 支援醫療設備的虛擬測試，減少了對實體原型的需求並降低了開發成本。它透過對患者特定解剖結構進行建模，從而支持個人化醫療，從而更好地進行診斷和治療計劃。該行業受益於對微創手術和先進診斷工具日益成長的需求。總體而言，CFD 加速了創新並提高了醫療保健技術的性能。

佔比最高的地區

在預測期內，由於工業化進程加快、政府智慧製造舉措以及汽車和電子產業投資的不斷增加，亞太地區預計將佔據最大的市場佔有率。中國、印度、日本和韓國等國家正在採用運算流體力學 (CFD) 工具來最佳化產品設計和能源效率。該地區正受益於熟練工程師數量的不斷成長以及各行各業的數位轉型。此外，航太和可再生能源系統對基於模擬的分析的需求正在推動市場成長，使亞太地區成為 CFD 解決方案的潛力中心。

複合年成長率最高的地區：

由於航太、國防和醫療保健領域研發活動強勁，預計北美將在預測期內實現最高的複合年成長率。美國和加拿大是主要 CFD 軟體開發商的所在地，推動了該技術在各行各業的應用。對精密工程、智慧基礎設施和節能的日益重視，推動了 CFD 融入產品開發週期。此外，其在石油天然氣和暖通空調 (HVAC) 應用中的日益普及也支撐了其穩定的成長。該地區的法規環境和數位雙胞胎策略進一步刺激了對先進模擬技術的需求。

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公司簡介
- 全面分析其他市場參與者（最多 3 家公司）
- 主要企業的SWOT分析（最多3家公司）
區域細分
- 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 南美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第11章重大進展

協議、夥伴關係、合作和合資企業
收購與合併
新產品發布
業務擴展
其他關鍵策略

第12章公司概況

ANSYS Inc.
Siemens Digital Industries Software
Dassault Systemes
Altair Engineering
Autodesk Inc.
PTC Inc.
NUMECA International
Convergent Science
Hexagon AB
COMSOL Inc.
Flow Science Inc.
OpenCFD Ltd.
EXA Corporation
SimScale GmbH
Stymer Technologies Pvt. Ltd.
The MathWorks, Inc.

簡介目錄圖表

Product Code: SMRC30182

According to Stratistics MRC, the Global Computational Fluid Dynamics Market is accounted for $3.1 billion in 2025 and is expected to reach $5.7 billion by 2032 growing at a CAGR of 9.2% during the forecast period. A subfield of fluid mechanics known as computational fluid dynamics (CFD) analyses and resolves fluid flow issues using numerical techniques and algorithms. CFD offers visual insights into flow behaviour, pressure distribution, and temperature changes by using computers to simulate how liquids and gases interact with surfaces. In sectors including aerospace, automotive, energy, and healthcare, it is essential to engineering and design optimisation. Because CFD models improve performance, anticipate real-world fluid dynamics with high accuracy, and lessen the need for physical prototypes, they make testing and innovation more affordable.

Market Dynamics:

Driver:

Powerful simulation capabilities

Product development periods are sped up by these sophisticated tools, which eliminate the need for expensive physical prototypes. By simulating real-world settings, engineers may enhance the effectiveness, safety, and performance of designs. Improved visualisation reduces rework and expenses by helping to spot errors early. These simulations are essential for innovation and compliance in sectors including energy, automotive, and aerospace. CFD tools become more widely available as processing capacity increases, increasing their use in a wider range of industries.

Restraint:

Steep learning curve

Mastery of CFD software requires advanced knowledge of fluid mechanics, thermodynamics, and numerical methods. This complexity often limits adoption to highly skilled professionals and specialized industries. Small businesses and new users may struggle with the technical barriers and high training costs. As a result, implementation becomes time-consuming and resource-intensive. This deters broader market penetration, especially in emerging economies and among non-technical end users.

Opportunity:

Emerging and cloud-based adoption

Cloud solutions provide for scalable simulations and speedier processing without requiring significant upfront infrastructure investments. High-end CFD solutions are increasingly available to startups and SMEs through subscription models, increasing market penetration. Remote accessibility and real-time collaboration increase design efficiency for international teams. Cloud-based AI and machine learning integration improves prediction accuracy and expedites R&D cycles. All things considered, cloud-based CFD democratises sophisticated simulation, propelling its broad industry use.

Threat:

Competition from alternative tools

Users are drawn to these options because they have faster turnaround times, like AI-driven simulations or empirical modelling. CFD's market share is declining as a result of many sectors favouring integrated multi-physics platforms over stand-alone CFD software. Commercial CFD providers are challenged by open-source software, which also offer affordable alternatives. Additionally, non-experts are drawn to software with automated features and no-code interfaces, which restricts the use of traditional CFD. Because of the intense competition, CFD suppliers must constantly innovate, which raises development costs and creates unpredictability in the market.

Covid-19 Impact

The Covid-19 pandemic significantly disrupted the Computational Fluid Dynamics (CFD) market by delaying industrial operations, R&D activities, and new project deployments across sectors such as aerospace, automotive, and energy. Supply chain interruptions and reduced capital expenditure led to project postponements and a temporary decline in CFD software demand. However, the crisis also highlighted the need for virtual testing, remote simulation, and efficient design processes, accelerating digital transformation. As industries adapted to new working models, CFD tools gained renewed importance in optimizing designs and maintaining productivity during uncertain times.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, due to advanced simulation capabilities for complex fluid flow analysis. Continuous enhancements in CFD software, such as improved user interfaces and integration with AI, increase adoption across industries. Cost-effective virtual testing reduces the need for physical prototypes, saving time and resources. Cloud-based CFD platforms enable scalable and accessible computing power for real-time analysis. As a result, industries like and energy increasingly relies on CFD software for efficient product design and optimization.

The healthcare & medical devices segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & medical devices segment is predicted to witness the highest growth rate, due to enhanced precision in device design, such as inhalers, ventilators, and blood flow simulators. CFD enables virtual testing of medical equipment, reducing the need for physical prototypes and lowering development costs. It supports personalized medicine by modeling patient-specific anatomy for better diagnosis and treatment planning. The segment benefits from increased demand for minimally invasive procedures and advanced diagnostic tools. Overall, CFD accelerates innovation and improves performance in healthcare technologies.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing industrialization, government initiatives in smart manufacturing, and rising investments in automotive and electronics sectors. Countries like China, India, Japan, and South Korea are adopting CFD tools for optimizing product designs and energy efficiency. The region benefits from a growing pool of skilled engineers and digital transformation in industries. Furthermore, demand for simulation-based analysis in aerospace and renewable energy systems is boosting market growth, making Asia Pacific a high-potential hub for CFD solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR fuelled by robust R&D activities in aerospace, defense, and healthcare sectors. The presence of major CFD software developers in the U.S. and Canada enhances technological adoption across industries. Emphasis on precision engineering, smart infrastructure, and energy conservation fosters deeper integration of CFD in product development cycles. Additionally, rising use in oil & gas and HVAC applications supports steady growth. The region's regulatory environment and digital twin strategies further stimulate demand for advanced simulation technologies.

Key players in the market

Some of the key players profiled in the Computational Fluid Dynamics Market include ANSYS Inc., Siemens Digital Industries Software, Dassault Systemes, Altair Engineering, Autodesk Inc., PTC Inc., NUMECA International, Convergent Science, Hexagon AB, COMSOL Inc., Flow Science Inc., OpenCFD Ltd., EXA Corporation, SimScale GmbH, Stymer Technologies Pvt. Ltd. and The MathWorks, Inc.

Key Developments:

In June 2025, ANSYS and Synopsys announced that their proposed $35 billion merger has successfully cleared all required global regulatory reviews, except for China, where the approval process is in its final stages. This strategic merger aims to enhance digital engineering and simulation capabilities across semiconductor and system industries.

In May 2025, ANSYS partnered with AMD, Baker Hughes, and Oak Ridge National Laboratory to achieve a 96% reduction in CFD simulation runtime using ANSYS Fluent on AMD Instinct GPUs. This breakthrough highlights ANSYS's leadership in high-performance computing and boosts simulation efficiency for complex engineering workflows across industries.

In May 2024, Siemens launched Simcenter X, a cloud-based SaaS platform that delivers Simcenter STAR-CCM+ with high-performance computing (HPC) on a pay-as-you-go model, removing hardware barriers and enabling scalable, flexible CFD simulation across diverse engineering teams.

Components Covered:

Software
Services

Deployment Types Covered:

On-premise
Cloud-based

Dimensions Covered:

2D CFD
3D CFD
4D CFD

Applications Covered:

Aerodynamics
Thermal Simulation
Hydrodynamics
Combustion Simulation
Turbomachinery
Other Applications

End Users Covered:

Automotive
Aerospace & Defense
Energy & Power
Electrical & Electronics
Industrial Equipment
Healthcare & Medical Devices
Chemical & Process Industries
Building & Construction
Marine
Oil & Gas
Other End Users

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Computational Fluid Dynamics Market, By Component

5.1 Introduction
5.2 Software
5.3 Services

6 Global Computational Fluid Dynamics Market, By Deployment Type

6.1 Introduction
6.2 On-premise
6.3 Cloud-based

7 Global Computational Fluid Dynamics Market, By Dimension

7.1 Introduction
7.2 2D CFD
7.3 3D CFD
7.4 4D CFD

8 Global Computational Fluid Dynamics Market, By Application

8.1 Introduction
8.2 Aerodynamics
8.3 Thermal Simulation
8.4 Hydrodynamics
8.5 Combustion Simulation
8.6 Turbomachinery
8.7 Other Applications

9 Global Computational Fluid Dynamics Market, By End User

9.1 Introduction
9.2 Automotive
9.3 Aerospace & Defense
9.4 Energy & Power
9.5 Electrical & Electronics
9.6 Industrial Equipment
9.7 Healthcare & Medical Devices
9.8 Chemical & Process Industries
9.9 Building & Construction
9.10 Marine
9.11 Oil & Gas
9.12 Other End Users

10 Global Computational Fluid Dynamics Market, By Geography

10.1 Introduction
10.2 North America
- 10.2.1 US
- 10.2.2 Canada
- 10.2.3 Mexico
10.3 Europe
- 10.3.1 Germany
- 10.3.2 UK
- 10.3.3 Italy
- 10.3.4 France
- 10.3.5 Spain
- 10.3.6 Rest of Europe
10.4 Asia Pacific
- 10.4.1 Japan
- 10.4.2 China
- 10.4.3 India
- 10.4.4 Australia
- 10.4.5 New Zealand
- 10.4.6 South Korea
- 10.4.7 Rest of Asia Pacific
10.5 South America
- 10.5.1 Argentina
- 10.5.2 Brazil
- 10.5.3 Chile
- 10.5.4 Rest of South America
10.6 Middle East & Africa
- 10.6.1 Saudi Arabia
- 10.6.2 UAE
- 10.6.3 Qatar
- 10.6.4 South Africa
- 10.6.5 Rest of Middle East & Africa

11 Key Developments

11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling

12.1 ANSYS Inc.
12.2 Siemens Digital Industries Software
12.3 Dassault Systemes
12.4 Altair Engineering
12.5 Autodesk Inc.
12.6 PTC Inc.
12.7 NUMECA International
12.8 Convergent Science
12.9 Hexagon AB
12.10 COMSOL Inc.
12.11 Flow Science Inc.
12.12 OpenCFD Ltd.
12.13 EXA Corporation
12.14 SimScale GmbH
12.15 Stymer Technologies Pvt. Ltd.
12.16 The MathWorks, Inc.

簡介目錄圖表

List of Tables

Table 1 Global Computational Fluid Dynamics Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Computational Fluid Dynamics Market Outlook, By Component (2024-2032) ($MN)
Table 3 Global Computational Fluid Dynamics Market Outlook, By Software (2024-2032) ($MN)
Table 4 Global Computational Fluid Dynamics Market Outlook, By Services (2024-2032) ($MN)
Table 5 Global Computational Fluid Dynamics Market Outlook, By Deployment Type (2024-2032) ($MN)
Table 6 Global Computational Fluid Dynamics Market Outlook, By On-premise (2024-2032) ($MN)
Table 7 Global Computational Fluid Dynamics Market Outlook, By Cloud-based (2024-2032) ($MN)
Table 8 Global Computational Fluid Dynamics Market Outlook, By Dimension (2024-2032) ($MN)
Table 9 Global Computational Fluid Dynamics Market Outlook, By 2D CFD (2024-2032) ($MN)
Table 10 Global Computational Fluid Dynamics Market Outlook, By 3D CFD (2024-2032) ($MN)
Table 11 Global Computational Fluid Dynamics Market Outlook, By 4D CFD (2024-2032) ($MN)
Table 12 Global Computational Fluid Dynamics Market Outlook, By Application (2024-2032) ($MN)
Table 13 Global Computational Fluid Dynamics Market Outlook, By Aerodynamics (2024-2032) ($MN)
Table 14 Global Computational Fluid Dynamics Market Outlook, By Thermal Simulation (2024-2032) ($MN)
Table 15 Global Computational Fluid Dynamics Market Outlook, By Hydrodynamics (2024-2032) ($MN)
Table 16 Global Computational Fluid Dynamics Market Outlook, By Combustion Simulation (2024-2032) ($MN)
Table 17 Global Computational Fluid Dynamics Market Outlook, By Turbomachinery (2024-2032) ($MN)
Table 18 Global Computational Fluid Dynamics Market Outlook, By Other Applications (2024-2032) ($MN)
Table 19 Global Computational Fluid Dynamics Market Outlook, By End User (2024-2032) ($MN)
Table 20 Global Computational Fluid Dynamics Market Outlook, By Automotive (2024-2032) ($MN)
Table 21 Global Computational Fluid Dynamics Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
Table 22 Global Computational Fluid Dynamics Market Outlook, By Energy & Power (2024-2032) ($MN)
Table 23 Global Computational Fluid Dynamics Market Outlook, By Electrical & Electronics (2024-2032) ($MN)
Table 24 Global Computational Fluid Dynamics Market Outlook, By Industrial Equipment (2024-2032) ($MN)
Table 25 Global Computational Fluid Dynamics Market Outlook, By Healthcare & Medical Devices (2024-2032) ($MN)
Table 26 Global Computational Fluid Dynamics Market Outlook, By Chemical & Process Industries (2024-2032) ($MN)
Table 27 Global Computational Fluid Dynamics Market Outlook, By Building & Construction (2024-2032) ($MN)
Table 28 Global Computational Fluid Dynamics Market Outlook, By Marine (2024-2032) ($MN)
Table 29 Global Computational Fluid Dynamics Market Outlook, By Oil & Gas (2024-2032) ($MN)
Table 30 Global Computational Fluid Dynamics Market Outlook, By Other End Users (2024-2032) ($MN)