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Global Graphic Cards Market to Reach US$285.7 Billion by 2030

The global market for Graphic Cards estimated at US$54.5 Billion in the year 2024, is expected to reach US$285.7 Billion by 2030, growing at a CAGR of 31.8% over the analysis period 2024-2030. Dedicated Graphic Cards, one of the segments analyzed in the report, is expected to record a 34.2% CAGR and reach US$213.6 Billion by the end of the analysis period. Growth in the Integrated Graphic Cards segment is estimated at 26.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$14.8 Billion While China is Forecast to Grow at 41.7% CAGR

The Graphic Cards market in the U.S. is estimated at US$14.8 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$74.1 Billion by the year 2030 trailing a CAGR of 41.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 25.4% and 28.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 27.0% CAGR.

Global Graphic Cards Market - Key Trends & Drivers Summarized

Why Are Graphic Cards Essential for Modern Computing Ecosystems?

Graphic cards, also known as GPUs (graphics processing units), are core components in rendering visual data, enabling high-performance computing, and accelerating complex workloads. Initially developed for image rendering in gaming, GPUs are now integral to a wide range of applications, including machine learning, video editing, 3D modeling, and scientific simulations. Their ability to process multiple operations in parallel has positioned them as essential hardware in both consumer and enterprise environments.

In gaming systems, GPUs support real-time rendering, high refresh rates, and ray tracing, enhancing user experience and visual realism. In professional workstations, they power design, animation, and simulation tools. Data centers and research institutions use GPU clusters to run AI algorithms, process large datasets, and perform compute-intensive tasks. As digital media, artificial intelligence, and immersive environments continue to expand, the demand for advanced graphic cards continues to rise across sectors.

How Are GPU Architectures and Manufacturing Processes Evolving?

Leading GPU manufacturers are developing architectures with higher core counts, faster memory bandwidth, and optimized energy efficiency. Fabrication nodes are shrinking to sub-5 nanometer scales, enabling better performance-per-watt and thermal management. Ray tracing, DLSS (deep learning super sampling), and AI acceleration features are being integrated into newer generations of cards for enhanced graphics and compute capabilities.

Custom GPUs tailored for data science, crypto-mining, and autonomous vehicles are emerging alongside general-purpose cards. High-bandwidth memory (HBM), PCIe Gen 5 support, and scalable multi-GPU configurations are expanding application scope in advanced computing environments. Design innovations are improving cooling systems, form factors, and power management, allowing deployment in compact desktops, mobile platforms, and high-density servers. These developments are making GPUs more versatile and future-ready across device categories.

Where Is Graphic Card Demand Growing Most Rapidly Across User Segments?

Gaming continues to be the largest consumer market, with demand driven by esports, AAA title releases, and immersive VR content. Enthusiast gamers and streamers seek high-end GPUs with advanced rendering capabilities. In parallel, creative professionals in fields such as visual effects, architecture, and industrial design are adopting professional-grade cards for real-time visualization and content production.

Demand is rising in AI research, machine learning deployment, and autonomous systems. Cloud service providers and data centers are investing in GPU clusters to support large-scale training and inference workloads. Educational institutions and industrial automation companies are also expanding use of GPUs for simulation and modeling. Enterprise IT systems, financial modeling tools, and medical imaging platforms are incorporating GPUs to accelerate parallel computation. As digital tools proliferate across sectors, GPU adoption is growing beyond traditional graphics-centric domains.

What Is Driving Growth in the Graphic Cards Market?

Growth in the graphic cards market is driven by several factors related to compute acceleration, gaming hardware demand, and AI integration. Advances in GPU architecture, memory bandwidth, and manufacturing efficiency are enabling improved performance across visual and non-visual applications. Expansion of gaming, content creation, and simulation workloads is increasing demand for consumer and professional GPUs. Growth is also supported by deployment of GPU-accelerated computing in cloud infrastructure, enterprise AI projects, and research applications. As multi-sector demand converges, graphic cards are becoming critical processing units across next-generation computing environments.

SCOPE OF STUDY:

The report analyzes the Graphic Cards market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Type (Dedicated Graphic Cards, Integrated Graphic Cards); Connectivity (PCLe Connectivity, External Graphic Cards Connectivity); Interface (PCI Express 4.0 Interface, PCI Express 5.0 Interface); Memory (GDDR6 Memory, GDDR6X Memory, HBM2 Memory, HBM3 Memory); Application (Gaming Application, Data Center Application, Professional Visualization Application)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 34 Featured) -

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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