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Computer Aided Engineering (CAE) Market size is set to grow by USD 4.69 billion from 2024-2028, Growth of the smartphone industry boost the market, AI Role and Impact, Technavio

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NEW YORK, Aug. 22, 2024 /PRNewswire/ — The global computer aided engineering (CAE) market size is estimated to grow by USD 4.69 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  9.45%  during the forecast period. Growth of the smartphone industry is driving market growth, with a trend towards increasing adoption of cfd for battery designing. However, lack of awareness among end-users about developments in CFD poses a challenge. Key market players include Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., BETA CAE Systems, Cadence Design Systems Inc., Ceetron AS, COMSOL AB, Dassault Systemes SE, ESI Group SA, Fidesys LLC, Flow Sciences Inc., Hexagon AB, Parametric Designs and Solutions, PTC Inc., Seiko Epson Corp., Siemens AG, Simerics Inc., SimScale GmbH, and Symscape.

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Computer Aided Engineering (CAE) Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 9.45%

Market growth 2024-2028

USD 4699.2 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

8.42

Regional analysis

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

Performing market contribution

APAC at 32%

Key countries

US, Germany, China, France, and Japan

Key companies profiled

Altair Engineering Inc., ANSYS Inc., Autodesk Inc., Bentley Systems Inc., BETA CAE Systems, Cadence Design Systems Inc., Ceetron AS, COMSOL AB, Dassault Systemes SE, ESI Group SA, Fidesys LLC, Flow Sciences Inc., Hexagon AB, Parametric Designs and Solutions, PTC Inc., Seiko Epson Corp., Siemens AG, Simerics Inc., SimScale GmbH, and Symscape

 

Market Driver

The Computer Aided Engineering (CAE) market experiences significant growth due to the increasing adoption of Computational Fluid Dynamics (CFD) for battery design. CFD’s capacity to simulate fluid flow, heat transfer, and electrochemical processes in battery design enhances efficiency, reducing the need for costly and time-consuming physical prototypes. This efficiency is crucial for meeting the escalating demand for high-performance batteries in electric vehicles and renewable energy storage systems. Furthermore, CFD’s role in developing advanced battery technologies, such as solid-state and lithium-sulfur batteries, necessitates sophisticated modeling capabilities, driving the demand for CAE tools. Ensuring battery safety and regulatory compliance through CFD simulations also increases its adoption, mitigating risks like thermal runaway and short circuits. The integration of CFD with other CAE tools, like Finite Element Analysis (FEA), offers a holistic approach to battery design, enhancing overall efficiency and optimization. By enabling early identification of design issues, CFD reduces development costs and accelerates time-to-market. As industries pursue technological advancements and competitive edge, the reliance on CFD for customized and optimized battery solutions significantly contributes to the expanding CAE market, making these tools essential in modern engineering processes. Consequently, the increasing adoption of CFD for battery design propels the growth of the global CAE market. 

The Computer-Aided Engineering (CAE) market is experiencing significant growth, particularly in the passenger aircraft industry, where CAE solutions are used to analyze structural deformation during high-altitude flight, reduce fuel consumption, and decrease carbon emissions and footprint. Digital technologies, automation, cloud, and Building Information Modeling (BIM) are driving trends in this market. CAE solutions are also crucial for industries like consumer electronics, healthcare, aerospace & defense, and industrial equipment, where product durability, quality, and process management are key. CAE solution suppliers provide software for Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), and Multibody Dynamics (MBD), among others. Open-source platforms and Software-as-a-Service (SaaS) are gaining popularity. CAE solutions are also essential for defense and aerospace, electric vehicles, and industries dealing with composite parts, hardware failure, and thermal analysis. Value-added resellers play a vital role in delivering CAE solutions to various industry verticals. 

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Market Challenges

 The global Computer Aided Engineering (CAE) market faces a significant challenge in increasing awareness and understanding of the advantages of modern Computer Fluid Dynamics (CFD) software among end-users. Traditional CFD software posed challenges such as high expertise requirements, extensive training costs, and the need for supercomputers for analysis. However, the latest versions of CFD software have addressed these issues by reducing complexity, eliminating the need for extensive mathematical knowledge, and enabling use on laptops and PCs. Despite these advancements, many small-scale manufacturers, particularly in equipment markets like lawn sprinklers, have yet to adopt CFD due to affordability concerns. This represents an opportunity for CFD software vendors to expand their reach into untapped markets and promote the benefits of their technology beyond traditional industries. The CAE market, including cloud CFD, has vast potential, but its growth may be hindered by the persisting misconceptions regarding its applicability and accessibility. CFD software can be utilized in all fluid-handling equipment, including lawn sprinklers, for optimizing design and performance. By addressing affordability and awareness, the CAE market can unlock new opportunities and drive growth.The Computer Aided Engineering (CAE) market is experiencing significant growth due to the increasing demand for simulation-based design and problem-solving capabilities in various engineering sectors. Challenges such as engineering modes, concurrent engineering, and design iterations are being addressed through advanced CAE technology solutions. Startups and small-to-medium enterprises are benefiting from affordable CAE software products and cloud-based services. CAE technology companies and software developers are focusing on complex solutions that incorporate the Internet of Things, machine learning, and artificial intelligence for predictive modeling and optimization. Electronics companies are enhancing product quality and accelerating time-to-market with CAE. CAE software is essential for industries like commercial aviation, where energy-efficient aircraft, temperature simulation, and battery life optimization are critical. CAE solutions are available through licensing fees or pay-as-you-go subscriptions, providing flexibility for businesses of all sizes. CAE software is used for validation, simulation, and prototype development, enabling engineers to make informed decisions and improve design efficiency.

For more insights on driver and challenges – Request a sample report!

Segment Overview 

This computer aided engineering (cae) market report extensively covers market segmentation by  

Type 1.1 FEA1.2 CFDEnd-user 2.1 Automotive2.2 Aerospace and defense2.3 Electrical and electronics2.4 OthersGeography 3.1 Europe3.2 North America3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 FEA-  Computer-Aided Engineering (CAE) market, specifically the Finite Element Analysis (FEA) software segment, plays a crucial role in the manufacturing industry. FEA software enables the evaluation of product designs’ functionality prior to physical prototype production. In industries such as electrical and electronics, FEA is essential for estimating structural strength and behavior, simulation, modeling, and design optimization. FEA software reduces costs by creating virtual prototypes for simulations, minimizing warranty and product return costs, and expediting product development. High Research and Development (R&D) investments are a significant factor fueling the FEA market’s growth. R&D investments are allocated for purchasing new technologies, hardware, software (including FEA), and services to create innovative products. The electrical and electronics industry heavily relies on FEA for risk-free product testing, cost reduction, and multitasking. FEA software helps engineers tackle complex problems related to power consumption reduction, electronic signal quality checks, and bandwidth improvement. The global FEA market’s growth is driven by R&D investments and stringent government regulations. Cloud-based FEA solutions’ availability is another key factor contributing to the market’s expansion, with APAC expected to adopt these solutions more rapidly due to the presence of numerous electrical and electronics companies.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2017-2021) – Download a Sample Report

Research Analysis

The Computer Aided Engineering (CAE) market encompasses a range of computer software solutions used to simulate and analyze various engineering applications. These solutions include Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) software for modeling and analyzing structural and fluid dynamics behavior. CAE solutions are utilized across diverse industries such as aerospace, electric vehicles, and manufacturing to enhance product durability, quality, and process management. Value added resellers play a crucial role in providing CAE software and services to businesses. CAE software is integral to simulation, validation, and concurrent engineering, enabling the creation of integrated CAE data and 3D prototypes. Licensing fees and pay-as-you-go subscriptions are common business models for CAE software. Building information modeling and 3D printing are also integrating with CAE solutions to streamline engineering modes and improve product development.

Market Research Overview

The Computer Aided Engineering (CAE) market is a dynamic and innovative industry that provides engineers with advanced tools for simulation, analysis, and optimization of complex systems. CAE solutions, including Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) software, are essential for various industries such as electric vehicles, aerospace, defense, electronics, semiconductors, energy, and more. CAE technology enables product durability and quality enhancement, process management, and concurrent engineering. Value added resellers play a crucial role in delivering CAE solutions to startups, small-to-medium enterprises, and engineering sector clients. CAE software products offer decision-making capabilities, simulation-based design, and optimization algorithms, including machine learning and artificial intelligence. CAE solutions are applied to various industries, from electronics companies focusing on product quality enhancement and time-to-market acceleration to aerospace and defense, where they contribute to the design of energy-efficient aircraft, low-emission planes, and solar panels. The market also includes cloud-based CAE, localization strategies, and licensing fees or pay-as-you-go subscriptions. CAE technology is essential for modeling information, validation, and prototyping, addressing challenges such as temperature, battery life, fan performance, noise pollution, and fuel consumption. Digital technologies, automation, and cloud services are transforming the CAE market, enabling real-time collaboration, optimization, and predictive modeling.

Table of Contents:

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

TypeFEACFDEnd-userAutomotiveAerospace And DefenseElectrical And ElectronicsOthersGeographyEuropeNorth AmericaAPACSouth 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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CM Global Services Announces Project Santos, a Planned 50-Megawatt AI Data Center Campus in ERCOT South

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CM Global Services targets a site and engages with strategic partners to become operational in the AI data center space.

DENVER, July 23, 2026 /PRNewswire/ — CM Global Services, LLC (CMGS) today announced Project Santos, its plan to develop a 50-megawatt AI data center campus for a site in the ERCOT South grid zone. CMGS is a long-standing strategic partner of Compass Mining, Inc. and is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. The announcement was made by Shanon Squires, Chief Mining Officer of Compass Mining, during a panel on bitcoin mining companies diversifying into AI infrastructure at the Energy Investors Forum.

CMGS intends to deliver Project Santos in two phases. The first phase, a 7-megawatt, 5 MW of IT Load Tier III facility purpose-built for AI inference workloads, is targeted for completion by the end of the first quarter of 2027. A subsequent 43-megawatt expansion, bringing the site to its fully planned 50-megawatt capacity

“This is a disciplined next step for CM Global Services, drawing upon its expertise in standing up infrastructure, while Compass Mining simultaneously continues to be the gold standard in Bitcoin mining-related services,” said Shanon Squires. “Bitcoin mining remains the core of Compass Mining. CMGS’ Project Santos reflects the power infrastructure and site development discipline CMGS built over years, and we’re pursuing this initiative on our own terms.”

“This is a new step forward for CMGS, as we continue building for the future,” said Vishnu Mackenchery, Managing Director at CMGS. “Project Santos marks our entry into AI infrastructure and inference, and we’re charting our own path, moving fast to get there.”

GPU-as-a-Service for Enterprise and Neocloud Customers

Project Santos is being developed as a GPU-as-a-Service (GPUaaS) platform. Rather than requiring customers to bring their own hardware, CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer directly to off-takers as dedicated, single-tenant or multi-tenant compute. The company’s ideal customer profile is AI enterprise organizations seeking dedicated capacity, and CMGS is also in active discussions with neocloud providers.

Project Status

Site: located in the ERCOT South grid zoneCompute: CMGS is securing NVIDIA GB300 Blackwell GPU capacity to offer as GPU-as-a-Service to off-takersTotal planned capacity: 50 megawatts, 35 MW of IT to be delivered in two phasesPhase 1: 7 megawatts, 5 MW of IT load Tier III, targeted for completion by end of Q1Phase 2: adding a 43-megawatt expansion, 30 MW of IT load with utility-supported expansionCustomer profile: AI enterprise companies are the ideal customer; CMGS is also in active discussions with neocloud providers

About CMGS

CM Global Services (CMGS) is a global provider of logistics, hardware sales, and infrastructure services, with a growing focus on AI infrastructure and building site development. CMGS supports clients with end-to-end logistics solutions, hardware procurement, and site-level execution for next-generation compute infrastructure.

About CMGS and Compass Mining Partnership

Compass Mining serves as a strategic partner and advisor to CM Global Services (CMGS), supporting its growth across global logistics, hardware sales, and infrastructure services. As CMGS expands its focus into AI infrastructure and site development, Compass Mining’s guidance helps shape its strategic direction and execution. Together, the two organizations continue to collaborate on delivering end-to-end solutions for clients building next-generation compute infrastructure.

Disclaimer

This communication contains forward-looking statements relating to a potential closing of a transaction. There can be no assurance that the proposed transaction will be completed on the terms described, or at all. Forward-looking statements are subject to significant business, economic, and competitive uncertainties, many of which are beyond our control. This communication is for informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any securities of the company. Furthermore, investing in or engaging with our company involves substantial risk, and past performance or previous communications are not indicative of future results. There is no guarantee, assurance, or warranty that any specific financial outcome, return on investment, or overall results will be achieved. Actual results may differ materially and adversely from those expressed, projected, or implied in any forward-looking statements. Investors and stakeholders should not rely solely on preliminary press releases regarding potential transactions or projected financial metrics when making investment decisions. We undertake no obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by applicable securities laws. Prospective investors are strongly encouraged to conduct their own independent due diligence and consult with a qualified, independent financial or legal advisor prior to making any investment.

Contact
All inquiries can be made to: Santos@CMGlobalServices.io 

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Advantech Unveils Next-Gen AI Infrastructure Solutions Powered by AMD EPYC™ 9006 Series Processors

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TAIPEI, July 23, 2026 /PRNewswire/ — Advantech, a global leader in industrial edge computing and edge AI solutions, today announced its next-generation server and network platforms powered by the latest AMD EPYC™ 9006 Series processors. Designed to accelerate AI infrastructure from the data center to the intelligent edge, Advantech’s 6th Gen AMD EPYC-powered servers deliver the performance, scalability, and reliability organizations need for AI, HPC, storage, networking, and mission-critical industrial workloads.

At AMD Advancing AI 2026, Advantech will showcase its latest 2U 4-node edge server and EATX server board, demonstrating how its workload-ready server solutions enable customers to build scalable, high-performance AI and edge computing infrastructure with greater deployment confidence.

Continuing Performance Leadership with AMD EPYC 9006 Series Processors

6th Gen AMD EPYC server CPUs bring continued leadership in performance, efficiency, memory bandwidth, and next-generation I/O. Featuring up to 128 cores and 256 threads, advanced 2nm process technology, “Zen 6” and “Zen 6c” architecture, up to 20% average generational performance uplift, and up to 20% performance-per-watt improvement, AMD EPYC 9006 Series processors are designed to support more virtual machines, higher throughput, and better system efficiency. With up to 128 PCIe Gen6 lanes per CPU, CXL™ 3.1 memory expansion, and support for DDR5 8000NHz and MRDIMM 12800MHz for high memory bandwidth, Advantech edge server solutions deliver balanced compute, memory, and I/O performance for next-generation AI, telco, edge, and storage infrastructure.

Key Features Include:

Up to 128 cores / 256 threads with “Zen 6” and “Zen 6c” architectureAdvanced 2nm process technology for improved performance and efficiencyUp to 20% average generational performance uplift and 20% performance-per-watt improvementDDR5-8000 and MRDIMM 12.8G support for higher memory bandwidth and capacityPCIe® Gen6 scalability: up to 128 lanes for 1 CPU and up to 196 lanes for 2 CPUsCXL™ 3.1 support for optimized memory expansion

Comprehensive Edge Server Solutions from Edge to Cloud

Advantech’s edge server portfolio powered by AMD EPYC™ 9006 Series processors delivers a complete board-to-system lineup for AI infrastructure, data centers, cloud, HCI, HPC, edge computing, industrial applications, and high-performance networking. The first-wave portfolio includes:
(1) The SKY-642E5, 4U MGX GPU server, for large-scale AI acceleration
(2) The SKY-722E5, 2U DC-MHS server with DC-SCM support, for modular data center and edge AI deployments
(3) The SKY-712E5, 1U DC-MHS server, supporting HHHL and FH-3/4L expansion cards for high-density enterprise edge and cloud workloads
(4) The SKY-822E5, 2U short-depth DC-SCM modular server, supporting 2–3 dual-slot GPU cards for space-constrained edge data centers
(5) The SKY-924E5F, 2U 4-node front-access server, for distributed edge computing,
(6) The ASMB-982 & ASMB-832 server boards for flexible, high-expandability system designs.

These new platforms also support PCIe Gen6 scalability, GPU-optimized architecture, advanced DDR5/MRDIMM memory, and AFA-ready high-density E1.S/E3.S NVMe SSD storage to meet low-latency data access, high-throughput storage performance, and scalable infrastructure for data-intensive AI and edge-cloud workloads.

Expanding the portfolio further, Advantech also introduces the FWA-6084, the 2U network appliance and is designed for demanding network security and edge AI workloads. It features DDR5/MRDIMM memory capability, eight Gen6 network module cards, and one PCIe Gen5 x16 slot for GPU or add-on card expansion. It is well positioned to support line-speed multiple 200G network workloads without compromise.

Together with Advantech’s unique service advantages—including 3-5-10 service guarantee, strict revision control, stable component supply, worldwide local support, and custom-ready integration—the new portfolio supports customers reduce deployment risk, secure long-term product roadmaps, and accelerate workload-ready AI and edge-cloud infrastructure from concept to deployment.

Explore more product information, please contact us or visit the Advantech x AMD website.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, driven by its vision of “Enabling an Intelligent Planet.” To address the growth of edge computing and AI, Advantech focuses on five key markets: Edge Intelligence Systems, Manufacturing, Energy and Utilities, iHealthcare, and iCity Services & iRetail. By integrating edge computing hardware, WISE-IoT software, sector-specific AI solutions, and domain expertise, Advantech creates an orchestration model that connects industrial ecosystems and accelerates industrial intelligence with partners and customers.(www.advantech.com

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SOURCE Advantech Co., Ltd.

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MulticoreWare and AMD Collaborate to Advance Physical AI and Autonomous Robotics on AMD Platforms

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Companies Demonstrated Real-Time Multimodal AI and Vision-Language-Action Workflows on AMD Ryzen™ AI Platforms at AMD Advancing AI 2026

SAN JOSE, Calif., July 23, 2026 /PRNewswire/ — MulticoreWare, Inc., a global technology company specializing in AI software solutions, physical AI, accelerated computing, and engineering services, today announced its ongoing collaboration with AMD to advance autonomous robotics and edge intelligence on AMD platforms.

As part of this collaboration, MulticoreWare joined AMD at AMD Advancing AI 2026 to present ‘Enabling Physical AI on AMD’, demonstrating how advanced vision, language, and action (VLA) models can drive real-time robotic intelligence on AMD Ryzen™ AI Embedded platforms.

As AI increasingly moves from the cloud into robots, autonomous systems, and intelligent edge devices, organizations need efficient ways to run sophisticated AI models closer to where decisions need to be made. Together, AMD and MulticoreWare are helping developers bring advanced perception, reasoning, and action capabilities to AMD-powered systems.

At AMD Advancing AI 2026, AMD and MulticoreWare demonstrated how multimodal VLA models run on AMD Ryzen™ AI Embedded integrated GPUs using AMD ROCm™, enabling robots to perceive, reason, and act in real time. The session showcased practical guidance for AI developers, robotics engineers, and innovators building next-generation intelligent machines on AMD Embedded platforms.

“Physical AI is reshaping how machines perceive, decide and act in the real world,” said Sumit Shah, Head of Product Management and Marketing, Adaptive and Embedded Computing Group, AMD. “AMD Ryzen™ AI Embedded X100 Series processors deliver a scalable, open x86 Embedded platform that unifies AI, real-time control and industrial reliability to enable the generation of autonomous systems without locking developers into a single compute architecture or software stack.”

“A Physical AI system depends on a tightly integrated loop between perception and actuation. It must operate in real time, on real hardware, and in environments that are inherently unpredictable,” said Vish Rajalingam, VP & GM, Mobility and Transportation BU at MulticoreWare. “That makes it a hardware-software co-design challenge, not simply an AI inference problem. Building on the open-source AMD Robotics Software Suite, we work closely with OEMs to optimize the entire stack so that latency, reliability and accuracy targets are consistently achieved in production environments. That’s the integration MulticoreWare and AMD deliver together to move intelligent robotic systems from prototype to deployment.”

This session builds on more than 15 years of collaboration, with MulticoreWare delivering software optimization, AI, and engineering expertise across the AMD ecosystem, including Ryzen™ AI, Ryzen™, AMD EPYC™, AMD Instinct™, AMD Radeon™, and adaptive computing technologies.

About MulticoreWare

MulticoreWare, Inc. is a global technology company delivering AI software solutions and engineering services that accelerate innovation in Physical AI, Agentic AI, Robotics, Edge Intelligence, and Accelerated Computing. With expertise in multimodal AI, Vision-Language-Action (VLA) models, sensor perception and fusion, AI optimization, embedded systems, and high-performance software, MulticoreWare helps customers transform advanced AI technologies into production-ready solutions. Its innovations power applications across automotive, robotics, industrial automation, smart cities, healthcare, defense, and intelligent edge devices, while its video codec technologies enable next-generation video experiences worldwide.
www.multicorewareinc.com

AMD, the AMD Arrow logo, EPYC, Instinct, Radeon, Ryzen and combinations thereof are trademarks of Advanced Micro Devices, Inc.

Contact:
Suchithra Thyagarajan
VP – Corporate Marketing
marcom@multicorewareinc.com 

 

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