CAD 및 CAM용 GPU 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the CAD/CAM GPU market size is projected to be USD 2.91 billion in 2025, USD 3.48 billion in 2026, and reach USD 8.02 billion by 2031, growing at a CAGR of 18.17% from 2026 to 2031.

This report is Segmented by GPU Product Type (Desktop Professional/Workstation Discrete GPUs, Mobile Professional/Workstation Discrete GPUs, and More), GPU Platform / Architecture (NVIDIA GPU Platform, and More), Application (Computer-Aided Design and 3D Modeling, Computer-Aided Manufacturing, and More), End User (Automotive, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global CAD/CAM GPU Market Trends and Insights

Rising Demand For Real-Time CAD And CAM Workflows

The CAD/CAM GPU market is being lifted by the growing need for real-time responsiveness in professional design and manufacturing software. Large assemblies, multi-viewport work, and simulation-linked design reviews now place more pressure on GPU memory and parallel compute than on CPU speed alone. NVIDIA launched the RTX PRO Blackwell workstation lineup in March 2025, including the RTX PRO 6000 Workstation Edition with 96GB of GDDR7 memory, which shows how vendor roadmaps are targeting heavier professional workloads. This matters for the CAD/CAM GPU market because design teams increasingly expect smooth handling of complex models, simulation output, and review tasks inside the same workstation session. It also shortens the practical life of older hardware, because new workflow demands can expose memory and throughput limits before normal replacement cycles end. As a result, workstation vendors are aligning product launches with professional GPU upgrades rather than treating graphics as a secondary system component.

Expansion Of AI-Assisted Generative Design And Rendering

The CAD/CAM GPU market is also being supported by the spread of AI-assisted design and rendering tools across engineering workflows. New professional cards are adding AI-focused acceleration in a way that improves modeling, rendering, and design iteration inside compact and full-size systems. NVIDIA introduced the RTX PRO 2000 Blackwell in August 2025 and reported up to 1.4x faster CAD performance and 1.6x faster 3D modeling than its prior generation, which shows how AI-enabled gains are moving into mainstream workstation tiers. AMD also positioned the Radeon AI PRO R9700 with 32GB of GDDR6 and 128 AI accelerators for workstation deployments in July 2025, which widened the set of options for engineering studios seeking AI-ready graphics hardware. This shift is important for the CAD/CAM GPU market because rendering and design tasks that once required offloading can now be completed faster on a single workstation. It also raises the baseline for memory bandwidth and local AI processing in professional systems, which strengthens replacement demand across established engineering teams.

High Total Cost Of Ownership Of Professional-Grade GPUs

The CAD/CAM GPU market still faces a clear adoption limit in the total cost of ownership tied to professional systems. The cost is not limited to the graphics card, because buyers also need certified drivers, workstation validation, power delivery, cooling support, and, in some cases, broader infrastructure changes. NVIDIA positioned the RTX PRO 6000 Blackwell Workstation Edition at the top end of the stack with a 96GB frame buffer and workstation-class performance, which highlights why premium deployments can become expensive even before integration costs are counted. AMD also launched the Radeon PRO W7400 in August 2025 as a lower-power entry option, which shows that suppliers recognize the need for cost-controlled alternatives in compact professional systems. Even so, performance trade-offs can limit the appeal of lower-cost options in production-critical engineering work. This leaves the CAD/CAM GPU market with a split demand pattern, where large enterprises can absorb premium system costs while smaller firms stretch refresh cycles or reduce configuration levels.

Other drivers and restraints analyzed in the detailed report include:

1. Growth In Digital Twin And Simulation-Heavy Engineering Programs
2. Wider Adoption Of Hybrid On-Premises And Cloud-Based Design Environments
3. Driver Certification And Software Compatibility Constraints

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Desktop professional and workstation discrete GPUs held 56.77% of revenue in 2025, which kept them as the largest product group in the CAD/CAM GPU market. That lead came from strong demand in large-assembly CAD, multi-physics simulation, and high-fidelity rendering, where higher VRAM capacity and stable certification remain essential. These systems are still the default choice in tier-one engineering environments that manage dense models, multiple active views, and simulation-heavy project reviews. They also remain central in the CAD/CAM GPU industry, where uptime, application stability, and predictable certified behavior matter more than entry cost. Mobile professional and workstation discrete GPUs form the next layer of demand, because they support field engineering, client-site work, and distributed project teams that still need certified graphics performance.

Integrated and unified-memory GPUs are projected to grow at an 18.66% CAGR from 2026 to 2031, making them the fastest-expanding product type in the CAD/CAM GPU market. Their growth reflects improving capability in mainstream 2D drafting and lighter 3D work, where a separate, discrete card is no longer required in every professional setup. The product mix is therefore splitting into premium discrete systems for complex simulation and more efficient integrated platforms for smaller firms, education users, and entry-level professional workflows. AMD's Radeon PRO W7400, introduced for compact workstation environments at 55W, also shows how vendors are trying to serve constrained form factors without leaving the professional segment entirely. Other professional GPU configurations, including virtualized and server-linked setups, remain smaller in share but are growing in importance as cloud-delivered workstation models become more common across the CAD/CAM GPU market.

The NVIDIA platform held 77.33% of revenue in 2025, which gave it the leading position in the CAD/CAM GPU market share at the platform level. That position reflects not only hardware strength, but also the scale of CUDA-based workflows, Omniverse alignment, and broad certification coverage across widely used engineering software. In practical terms, the platform remains deeply embedded in procurement standards for many large enterprises, which raises switching costs even when performance gaps narrow. This has helped NVIDIA keep the strongest installed base in the CAD/CAM GPU market, especially in design environments that place high value on long-term software support. The same position also allows NVIDIA to influence upgrade timing through both hardware launches and ecosystem expansion.

The Intel GPU platform is projected to record the fastest 19.21% CAGR from 2026 to 2031, which points to a gradual opening at the value and mainstream professional tiers. Intel's rise is linked to growing confidence in its professional graphics stack and a strategy that targets cost-sensitive workstation use cases first. AMD remains a credible alternative where buyers want strong visualization capability without accepting the highest premium, and its Radeon AI PRO R9700 added a clearer AI-ready option to that discussion in 2025. The CAD/CAM GPU industry is therefore becoming more competitive below the top tier, even if platform leadership still sits firmly with NVIDIA. Other platform options remain limited in professional CAD and CAM use, but they are being watched in virtual workstation and AI-in-design environments where software stacks may evolve faster.

Complete Report Scope:

• By GPU Product Type
  • Desktop Professional/Workstation Discrete GPUs
  • Mobile Professional/Workstation Discrete GPUs
  • Integrated/Unified-Memory GPUs
  • Other Professional GPU Configurations
• By GPU Platform / Architecture
  • NVIDIA GPU Platform
  • AMD GPU Platform
  • Intel GPU Platform
  • Other GPU Platforms
• By Application
  • Computer-Aided Design and 3D Modeling
  • Computer-Aided Manufacturing
  • Computer-Aided Engineering and Simulation
  • Rendering, Visualization, and Digital Twins
  • Other Advanced Design Workloads
• By End User
  • Automotive
  • Aerospace and Defense
  • Industrial Machinery and Heavy Equipment
  • Electronics and Semiconductor
  • Architecture, Engineering, and Construction
  • Other End Users (Education, Academia, and Research Institutions; Healthcare, Medical Devices, and Dental)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Southeast Asia
    • Rest of Asia-Pacific
  • South America
  • Middle East and Africa

Geography Analysis

North America held 35.16% of revenue in 2025, which gave it the leading position in the CAD/CAM GPU market share by geography. The region benefits from the close concentration of aerospace contractors, automotive design operations, semiconductor facilities, and defense engineering programs across the United States, Canada, and Mexico. That combination supports steady demand for certified workstation systems, especially in sectors that cannot rely fully on remote or shared compute environments. The CAD/CAM GPU market in North America also gains from early software adoption, larger enterprise IT budgets, and a stronger base of organizations willing to deploy AI-assisted engineering tools at scale.

Europe maintained a meaningful position in the CAD/CAM GPU market in 2025, with Germany, the United Kingdom, France, and Italy acting as the main centers of regional demand. Germany remains especially important because of its manufacturing depth, established engineering software base, and concentration of companies that rely on CAD-intensive industrial workflows. NVIDIA announced in June 2025 that it would build an industrial AI cloud in Germany with 10,000 GPUs and early participation from BMW Group, Cadence, and Siemens, which highlights the region's role in industrial digital transformation. The rest of Europe forms a secondary tier of demand that follows Industry 4.0 investment cycles, especially in the Nordics, Benelux, and Central and Eastern Europe.

Asia-Pacific is projected to grow at a 19.04% CAGR from 2026 to 2031, which makes it the fastest-growing regional segment in the CAD/CAM GPU market size. The region draws support from South Korea's semiconductor base, Japan's precision manufacturing strength, India's engineering services expansion, China's industrial design scale, and Southeast Asia's rising role in advanced assembly. Japan's local workstation ecosystem remains active, and TSUKUMO launched Intel Xeon 600-based workstation models in May 2026 for simulation-heavy and AI-intensive professional workloads. That release reflects continuing demand for professional systems from domestic engineering users who still depend on local hardware channels. South America and the Middle East and Africa remain smaller markets, but project-led demand in infrastructure, construction, and design services is gradually creating new procurement cycles. Over time, the CAD/CAM GPU market in these regions is likely to deepen where certified visualization, BIM, and simulation workflows become part of standard engineering delivery.

1. NVIDIA Corporation
2. Advanced Micro Devices, Inc.
3. Intel Corporation
4. Matrox Electronic Systems Ltd.
5. HP Inc.
6. BOXX Technologies, Inc.
7. Dell Technologies Inc.
8. ASUSTeK Computer Inc.
9. Micro-Star International Co., Ltd.
10. GIGA-BYTE Technology Co., Ltd.
11. ZOTAC Technology Limited
12. PNY Technologies, Inc.
13. Leadtek Research Inc.
14. Palit Microsystems Ltd.
15. Gainward Co., Ltd.
16. Colorful Technology Company Limited
17. Manli Technology Group Limited
18. ASRock Incorporation
19. InnoVISION Multimedia Limited
20. Sapphire Technology Limited

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Demand for Real-Time CAD and CAM Workflows on GPU-Accelerated Workstations
  • 4.2.2 Expansion of AI-Assisted Generative Design and Rendering
  • 4.2.3 Growth in Digital Twin and Simulation-Heavy Engineering Programs
  • 4.2.4 Wider Adoption of Hybrid On-Premises and Cloud-Based Design Environments
  • 4.2.5 Increasing GPU Use in High-Mix, Low-Volume Manufacturing Workflows
  • 4.2.6 Rising Need for Remote Collaborative Visualization and Review
• 4.3 Market Restraints
  • 4.3.1 High Total Cost of Ownership of Professional-Grade GPUs
  • 4.3.2 Driver Certification and Software Compatibility Constraints
  • 4.3.3 Supply Chain Volatility in Advanced Nodes, Memory, and Interconnects
  • 4.3.4 Power, Thermal, and Form-Factor Limits in Dense Workstations
• 4.4 Industry Value Chain Analysis
• 4.5 Impact of Macroeconomic Factors on the Market
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Industry Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By GPU Product Type
  • 5.1.1 Desktop Professional/Workstation Discrete GPUs
  • 5.1.2 Mobile Professional/Workstation Discrete GPUs
  • 5.1.3 Integrated/Unified-Memory GPUs
  • 5.1.4 Other Professional GPU Configurations
• 5.2 By GPU Platform / Architecture
  • 5.2.1 NVIDIA GPU Platform
  • 5.2.2 AMD GPU Platform
  • 5.2.3 Intel GPU Platform
  • 5.2.4 Other GPU Platforms
• 5.3 By Application
  • 5.3.1 Computer-Aided Design and 3D Modeling
  • 5.3.2 Computer-Aided Manufacturing
  • 5.3.3 Computer-Aided Engineering and Simulation
  • 5.3.4 Rendering, Visualization, and Digital Twins
  • 5.3.5 Other Advanced Design Workloads
• 5.4 By End User
  • 5.4.1 Automotive
  • 5.4.2 Aerospace and Defense
  • 5.4.3 Industrial Machinery and Heavy Equipment
  • 5.4.4 Electronics and Semiconductor
  • 5.4.5 Architecture, Engineering, and Construction
  • 5.4.6 Other End Users (Education, Academia, and Research Institutions; Healthcare, Medical Devices, and Dental)
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 South Korea
    • 5.5.3.4 India
    • 5.5.3.5 Southeast Asia
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 South America
  • 5.5.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Positioning Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 NVIDIA Corporation
  • 6.4.2 Advanced Micro Devices, Inc.
  • 6.4.3 Intel Corporation
  • 6.4.4 Matrox Electronic Systems Ltd.
  • 6.4.5 HP Inc.
  • 6.4.6 BOXX Technologies, Inc.
  • 6.4.7 Dell Technologies Inc.
  • 6.4.8 ASUSTeK Computer Inc.
  • 6.4.9 Micro-Star International Co., Ltd.
  • 6.4.10 GIGA-BYTE Technology Co., Ltd.
  • 6.4.11 ZOTAC Technology Limited
  • 6.4.12 PNY Technologies, Inc.
  • 6.4.13 Leadtek Research Inc.
  • 6.4.14 Palit Microsystems Ltd.
  • 6.4.15 Gainward Co., Ltd.
  • 6.4.16 Colorful Technology Company Limited
  • 6.4.17 Manli Technology Group Limited
  • 6.4.18 ASRock Incorporation
  • 6.4.19 InnoVISION Multimedia Limited
  • 6.4.20 Sapphire Technology Limited

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment