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市场调查报告书
商品编码
1787917
计算流体力学市场预测至 2032 年:按组件、部署类型、尺寸、应用、最终用户和地区进行的全球分析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 |
根据 Stratistics MRC 的数据,全球计算流体力学市场预计在 2025 年达到 31 亿美元,到 2032 年将达到 57 亿美元,预测期内的复合年增长率为 9.2%。
计算流体力学(CFD) 是动态的一个分支,它使用数值技术和演算法来分析和解决与流体流动相关的问题。透过使用电脑模拟液体和气体与表面的相互作用,CFD 可以直观地洞察流动行为、压力分布和温度变化。它对于航太、汽车、能源和医疗保健等领域的工程和设计优化至关重要。 CFD 模型可以提高性能,高精度地预测现实世界的流体动态,并减少对物理原型的需求,从而降低测试和创新的成本。
强大的仿真能力
这些先进的工具无需昂贵的实体原型,加速了产品开发。透过模拟真实环境,工程师可以提高设计的有效性、安全性和效能。改进的可视化功能可以更早发现错误,减少返工和成本。此类模拟对于能源、汽车和航太等领域的创新和合规性至关重要。随着处理能力的提升,CFD 工具的普及率越来越高,进而应用于更广泛的产业。
学习难度
熟练使用 CFD 软体需要具备动态、动态和数值方法的高阶知识。这种复杂性通常限制了高技能专业人员和专业行业的采用。规模较小的公司和新用户可能面临技术障碍和高昂的培训成本,导致实施过程耗费大量时间和资源。这阻碍了更广泛的市场渗透,尤其是在新兴经济体和非技术终端用户中。
新兴市场和云端基础的采用
云端解决方案支援可扩展的模拟和快速处理,无需前期投资大型基础设施。高阶 CFD 解决方案正透过订阅模式面向新兴企业和中小型企业开放,进而提升市场渗透率。远端存取和即时协作提升了国际团队的设计效率。云端基础的人工智慧与机器学习的整合提高了预测准确性,并加快了研发週期。云端基础的CFD 使高阶模拟更加普及,并促进了其在产业中的广泛应用。
与其他工具的衝突
用户被人工智慧驱动的模拟和启发式建模等替代方案所吸引,因为它们能够提供更快的周转时间。由于整合多物理场平台在许多行业中比独立 CFD 软体更受青睐,CFD市场占有率正在下降。商业 CFD 供应商面临开放原始码软体提供的经济实惠替代方案的挑战。此外,非专业人士也被具有自动化功能和无程式码介面的软体所吸引,从而限制了传统 CFD 的使用。激烈的竞争迫使 CFD 供应商不断创新,从而推高了开发成本,并造成了市场的不可预测性。
COVID-19的影响
新冠疫情严重扰乱了计算流体力学(CFD) 市场,减缓了航太、汽车和能源等领域的工业运作、研发活动以及新计画的推出。供应链中断和资本支出减少导致计划推迟,CFD 软体需求也暂时下降。然而,这场危机也加速了数位转型,凸显了对虚拟测试、远端模拟和高效设计流程的需求。随着产业逐渐适应新的工作模式,CFD 工具再次成为优化设计和在不确定性时期保持生产力的关键。
预计软体领域将成为预测期内最大的领域
预计软体领域将在预测期内占据最大的市场占有率,这得益于其在复杂流体流动分析方面的先进模拟能力。 CFD 软体的持续改进,例如改进的使用者介面和与人工智慧的集成,正在推动其在各行各业的普及。经济高效的虚拟测试减少了对实体原型的需求,从而节省了时间和资源。云端基础的CFD 平台可提供可扩展且易于存取的运算能力,用于即时分析。因此,能源等产业越来越依赖 CFD 软体进行高效的产品设计和最佳化。
医疗保健和医疗设备领域预计将在预测期内实现最高复合年增长率
由于吸入器、人工呼吸器和血流模拟器等设备设计精度的提高,预计医疗保健和医疗设备产业将在预测期内呈现最高成长率。计算流体力学 (CFD) 支援医疗设备的虚拟测试,减少了对实体原型的需求并降低了开发成本。它透过对患者特定解剖结构进行建模,从而支持个人化医疗,从而更好地进行诊断和治疗计划。该行业受益于对微创手术和先进诊断工具日益增长的需求。总体而言,CFD 加速了创新并提高了医疗保健技术的性能。
在预测期内,由于工业化进程加快、政府智慧製造倡议以及汽车和电子产业投资的不断增加,亚太地区预计将占据最大的市场占有率。中国、印度、日本和韩国等国家正在采用运算流体力学 (CFD) 工具来优化产品设计和能源效率。该地区正受益于熟练工程师数量的不断增长以及各行各业的数位转型。此外,航太和可再生能源系统对基于模拟的分析的需求正在推动市场成长,使亚太地区成为 CFD 解决方案的潜力中心。
由于航太、国防和医疗保健领域研发活动强劲,预计北美将在预测期内实现最高的复合年增长率。美国和加拿大是主要 CFD 软体开发商的所在地,推动了该技术在各行各业的应用。对精密工程、智慧基础设施和节能的日益重视,推动了 CFD 融入产品开发週期。此外,其在石油天然气和暖通空调 (HVAC) 应用中的日益普及也支撑了其稳定的成长。该地区的法规环境和数数位双胞胎策略进一步刺激了对先进模拟技术的需求。
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.
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.
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.
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.
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.
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.
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.
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.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.