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Computational Fluid Dynamics Market size is set to grow by USD 1.23 billion from 2024-2028, growing need for reduction in product design time and cost to boost the revenue- Technavio

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NEW YORK, Nov. 7, 2024 /PRNewswire/ — Report on how AI is driving market transformation – The global computational fluid dynamics market  size is estimated to grow by USD 1.23 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 9.45% during the forecast period. Growing need for reduction in product design time and cost is driving market growth, with a trend towards increasing shift toward cloud based CFD. However, growing concerns about software and data privacy  poses a challenge.Key market players include Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., Cadence Design Systems Inc., COMSOL AB, Convergent Science Inc., CPFD Software LLC, Dassault Systemes SE, Flow Science Inc., Fluidyn Group, Hexagon AB, Kitware Inc., Mechartes Researchers Pvt. Ltd., PTC Inc., Siemens AG, SimScale GmbH, Synopsys Inc., The MathWorks Inc., and ZeusNumerix Pvt. Ltd..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Aerospace and defense industry, Automotive industry, Electrical and electronics industry, and Others), Deployment (Cloud and On-premises), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

North America, Europe, APAC, South America, and Middle East and Africa

Key companies profiled

Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., Cadence Design Systems Inc., COMSOL AB, Convergent Science Inc., CPFD Software LLC, Dassault Systemes SE, Flow Science Inc., Fluidyn Group, Hexagon AB, Kitware Inc., Mechartes Researchers Pvt. Ltd., PTC Inc., Siemens AG, SimScale GmbH, Synopsys Inc., The MathWorks Inc., and ZeusNumerix Pvt. Ltd.

Key Market Trends Fueling Growth

The global Computational Fluid Dynamics (CFD) market is experiencing significant growth due to increasing demand for digitization, overall connectivity, and ease of use. Rising Research and Development (R&D) expenditure and product complexity are also driving market expansion. Vendors are responding to the growing adoption of cloud-based services by developing feature-rich Product Lifecycle Management (PLM) solutions. Cloud-based CFD offers advantages such as zero start-up time, guided workflows, and constant online support. The OpenFOAM Foundation Ltd., a leading CFD vendor, provides a complete OpenFOAM cloud computing platform using Amazon Web Services (AWS) EC2. This platform supports Elastic Network Adapter and C5n instances for effective scaling on clusters. These factors are expected to boost the growth of the global CFD market during the forecast period. 

The Computational Fluid Dynamics (CFD) market is experiencing significant growth due to increasing trends in equation solving for complex fluid dynamics problems. Reduced testing time and product design cycles are key benefits, enabling faster analysis and optimization. Physical prototypes are being replaced with digital twins, reducing costs and improving sustainability. Data security and cybersecurity are crucial considerations, especially in industries like aerospace and energy. External factors, such as regulatory standards and sustainability metrics, are driving the adoption of green design principles and global supply chains. High-fidelity simulation and virtual prototyping are essential for optimizing manufacturing costs and improving efficiency. CFD software, hardware, and high-performance computing are essential tools for industries like renewable energy, healthcare, and biotechnology. Simulation capabilities are expanding to include industry applications like wind farms and circuit boards, with efficient product design and optimization at the forefront. Model calibration, boundary conditions, turbulence modeling, and mesh quality are critical elements of CFD analysis. Overall, the market is focused on delivering efficient, cost-effective, and sustainable solutions for various industries. 

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Market Challenges

•         In the Computational Fluid Dynamics (CFD) market, data security and privacy concerns are increasingly important for businesses. With the adoption of cloud-based CFD software, there is a risk of data being accessed or mishandled by third-party service providers. Standard attacks, such as Man-in-the-Middle (MiTM), can affect the object storage component. Vendors are concerned that clients may not verify the Certificate Authority (CA) credential of the server before executing a secure socket layer connection, potentially leading to data leakage. Cloud solutions are more accessible for data sharing but come with risks such as distributed denial-of-service (DDoS) attacks, data breaches, unsecured application programming interfaces (APIs), data loss, and account hijacking. Software piracy, where a purchased license is shared with other end-users, also poses a threat to the privacy of CFD software. These issues may hinder the growth of the global CFD market during the forecast period.

•         The Computational Fluid Dynamics (CFD) market is growing rapidly due to the increasing demand for efficient product design and optimization in various industries. CFD software helps businesses improve their manufacturing costs by simulating fluid flows and mechanics before actual production. However, the high cost of hardware and high-performance computing (HPC) requirements pose challenges. Cloud-based solutions and HPC are addressing these challenges by offering affordable simulation capabilities. Industries like Aerospace, Energy, Healthcare, Renewable Energy, Biotechnology, and Automotive Manufacturing are major consumers of CFD technology. The market is segmented into industries like Electrical and Electronics, Industrial Machinery, and Electric vehicles. CFD’s real-world performance in design and manufacturing processes is crucial for developed economies in sectors like Automobile and Industrialization. The growth rate of the CFD market is driven by sustainability initiatives, artificial intelligence, and environmental concerns. Earlier, coding practices involved the use of punched paper tapes and cards, but now software packages have streamlined the process. The deployment model choices include cloud-based and on-premises. CFD’s application in fluid flows and mechanics is essential for industries to ensure product efficiency and sustainability.

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Segment Overview 

This computational fluid dynamics market report extensively covers market segmentation by

End-user 1.1 Aerospace and defense industry1.2 Automotive industry1.3 Electrical and electronics industry1.4 OthersDeployment 2.1 Cloud2.2 On-premisesGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Aerospace and defense industry-  The aerospace segment of the global Computational Fluid Dynamics (CFD) market is projected to expand significantly during the forecast period due to the increasing demand for operational efficiency, cost reduction, and compliance with standards in the aerospace sector. Before the advent of CFD, aircraft manufacturing companies relied on wind tunnel testing and flight-testing methods to evaluate product performance. However, with the advent of powerful computers, these traditional methods have been replaced by numerical simulation methods based on the Navier-Stokes equation. CFD is now widely used in various stages of aircraft design and research and development. It is employed in designing external aerodynamics, fuel systems, engine core compartments, missiles, cockpit and cabin ventilation, and submarines. CFD significantly contributes to designing turbine engines and increasing engine fan efficiency. Advancements in CFD have led to increased bypass ratios using CFD codes and a reduced number of blades in aircraft engine turbines. The evolution of CFD codes from 2-D Euler models to current 3-D Navier-Stokes models has resulted in highly efficient and fewer-blade turbines, reducing blade costs. Engineering simulation software, such as SimScale’s cloud-based CAE platform, allows for powerful CFD simulations from any device, streamlining the design process and reducing the need for physical prototypes. In the aerospace industry, Mentor, a Siemens AG subsidiary, offers Capital Load Analyzer software to simplify aircraft electrical design compliance and certification. With the growth of digitization in manufacturing and product design, traditional tools have been replaced by more efficient CFD simulation software based on the Navier-Stokes equation. The significant benefits of CFD in aerospace and defense are expected to drive its adoption, fueling the growth of the global CFD market in the aerospace and defense segment during the forecast period.

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Research Analysis

The Computational Fluid Dynamics (CFD) market is experiencing significant growth due to the increasing demand for efficient product design and optimization in various industries. CFD software, hardware, and high-performance computing (HPC) play crucial roles in simulating fluid flow and heat transfer, enabling manufacturers to reduce manufacturing costs and improve product performance. CFD is widely used in the aerospace industry for aerodynamic design, in the energy sector for power plant optimization, in healthcare for medical device design, and in renewable energy for wind turbine optimization, among others. The integration of artificial intelligence and machine learning algorithms in CFD software is further enhancing simulation capabilities, while environmental concerns are driving the adoption of cloud-based solutions and sustainable practices. The automotive sector, automobile manufacturing, electrical and electronics, industrial machinery, and electric vehicles are also major consumers of CFD technology. Computational fluid codes are the foundation of CFD simulations, enabling the accurate modeling of fluid mechanics and heat transfer phenomena.

Market Research Overview

The Computational Fluid Dynamics (CFD) market is a dynamic and growing industry focused on efficient product design and optimization. CFD software, hardware, and high-performance computing (HPC) technologies enable the simulation of fluid flows and mechanics, significantly reducing testing time and costs in various industries. CFD applications span aerospace, energy, healthcare, renewable energy, biotechnology, and more. Sustainability initiatives and environmental concerns are driving the market’s growth, with a focus on efficiency, sustainability, and artificial intelligence. Deployment models include cloud-based and on-premises solutions, catering to diverse industry segmentation. CFD plays a crucial role in the automotive manufacturing, electrical and electronics, industrial machinery, and electric vehicle sectors. Product design cycle analysis, regulatory standards, and sustainability metrics are essential considerations. External factors, such as project delays and budget constraints, necessitate high-fidelity simulation, virtual prototyping, and digital twin technologies. CFD also involves model calibration, boundary conditions, turbulence modeling, and mesh quality to ensure detailed simulation accuracy.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userAerospace And Defense IndustryAutomotive IndustryElectrical And Electronics IndustryOthersDeploymentCloudOn-premisesGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs

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July 23, 2026

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WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.

QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.

The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs

Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA

“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA

“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA

“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria

“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota

Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.

A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.

About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/

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SOURCE Quartz Manufacturing Alliance of America

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Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI

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July 23, 2026

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Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency

REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.

Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap: 

“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”

“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”

Databricks runs core business operations on Azure Databricks 

As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.

Advancing performance with Azure Cobalt

Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.

Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack

By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.

Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.

Customer impact with Azure Databricks

The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.

Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

 

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SOURCE Microsoft Corp.

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Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security

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July 23, 2026

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Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection

SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.

According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.

The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.

A Proven Foundation: Harness and Kong API Gateway

Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:

Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations

This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.

“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”

The New Frontier: Kong AI Gateway and Harness AI Security

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.

AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.

AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.

“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”

Availability

The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

About Kong

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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