GPU for AI Market Report 2025 (Global Edition)

Global GPU for AI Market Report 2025 Market Size Split by Component (Hardware, GPU Chips, GPU Boards/Modules, Others, Software, Drivers & Middleware, AI Framework Integrations, GPU Virtualization Soft...

GPU for AI Market Report Description

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How 2025 Tariffs Are Reshaping the Consumer Goods Industry

In 2025, the global trade landscape has shifted dramatically following the U.S. introduction of sweeping tariffs under President Donald Trump’s administration. These "Liberation Day Tariffs," launched in April, aim to reduce trade deficits and boost domestic manufacturing. Tariffs range from 10% on imports from countries like the UK and Australia to 46% on Vietnamese goods, with a blanket 34% tariff on many Chinese imports and 25% on all steel, aluminum, and auto parts. This policy heavily impacts the consumer goods sector apparel, appliances, packaged foods, and personal care products due to their deep reliance on global supply chains, especially in Asia. U.S.–China trade tensions have intensified, with reciprocal tariffs reaching up to 145% on U.S. goods and 125% on Chinese exports, while China’s trade surplus with the U.S. hit USD 102.6 billion in March 2025. In response, the EU and Canada have implemented retaliatory measures, signaling a broader shift toward protectionism.

The consumer goods industry is feeling immediate effects: production costs are rising, sourcing is delayed, and inflation pressures are mounting. Apparel and footwear now face 25% tariffs, prompting brands to seek nearshoring options or raise prices. Household appliances incur 20% tariffs, complicating inventory and procurement strategies. Packaged foods and beverages are hit with 10–15% tariffs, impacting contracts and leading to supplier diversification and product reformulation. Personal care firms face higher costs for imported ingredients and packaging, leading to local sourcing efforts and delays in new product launches. Meanwhile, electronics, though temporarily exempt, are preparing for possible disruptions by diversifying suppliers and increasing inventories.

China remains the backbone of U.S. consumer goods sourcing, accounting for a large portion of imports either directly or through upstream components. This makes tariffs on Chinese goods especially disruptive. The rising input costs 15–30% in many categories combined with seasonal pressures and tight timelines, are causing delays and increased costs. Smaller brands, in particular, are struggling due to limited capital and reduced supplier leverage. Many are being forced to increase prices, cut product variety, or compromise on quality.

Market research is now critical to navigating this volatile environment. It supports supplier mapping and risk assessment, helping brands identify alternative sourcing countries with stable regulations and quality control. It also aids in cost and margin analysis, guiding decisions on pricing and sourcing changes. Optimization of product design and materials through research allows companies to reduce costs while maintaining consumer expectations. Additionally, research helps assess consumer price sensitivity, enabling strategic repositioning. Tracking regulatory changes and running scenario planning models allow firms to anticipate and adapt to future trade shifts.

To cope, companies are restructuring their global sourcing models. Major brands like Nike and IKEA are expanding operations in Vietnam, India, and Mexico, while embracing “in-market for market” strategies to reduce exposure to tariffs and logistics risks. Many are adopting AI-driven demand forecasting and automated procurement, and pushing suppliers for transparency. Product redesign and SKU rationalization are also common. The most successful firms are those using data-driven insights, operational flexibility, and strategic supplier partnerships to adapt not just survive in this new era of global trade.

GPU for AI Market Insights Video

Competitive Landscape of the GPU for AI Market

In the GPU for AI market's competitive landscape, numerous key competitors are driving innovation and growth. The increasing demand for generative AI and machine learning has led to the expansion of the product line of the primary market participants. In order to broaden their operations worldwide, prominent participants are implementing a variety of business strategies, including partnerships, innovations, and product integrations.

Recent Development

In September 2023, Asus introduced the RTX 4070 BTF, a GPU that works without a cable, in Asia. The product line now includes two new B760 motherboards, the cableless GPU, and the Tianxuan TX Gaming graphics card. Most likely, these novel modules would be restricted to Asian regions. (Source: https://www.tomshardware.com/news/asus-releasing-anime-b760-4070-hidden-power-soon)

In March 2024, AWS has strengthened its partnership with NVIDIA to advance generative AI innovation. AWS will provide Grace Blackwell with NVIDIA's GPU-accelerated Amazon EC2 instances and NVIDIA DGX Cloud to expedite the performance of constructing and processing inferences on multiple parameter LLMs. (Source: https://nvidianews.nvidia.com/news/aws-nvidia-generative-ai-innovation)

In November 2023, MediaTek announced the introduction of the MediaTek Dimensity 9300 System on Chip (SoC). The launch features the newest CPU architecture and provides significant advancements in artificial graphics and display technology. (Source: https://www.mediatek.com/products/smartphones-2/mediatek-dimensity-9300)

Top Companies Market Share in GPU for AI Industry: (In no particular order of Rank)

• NVIDIA Corporation
• Advanced Micro Devices Inc. (AMD)
• Intel Corporation
• Alphabet Inc. (Google LLC)
• Microsoft Corporation
• Amazon Web Services Inc.
• Meta Platforms Inc.
• Graphcore Limited
• Tenstorrent Inc.
• Cerebras Systems Inc.
• Others
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*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

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Regional Analysis of the GPU for AI Market

Which Region Dominates the GPU for AI Market in 2024?

According to Cognitive Market Research, North America currently dominates the GPU for AIs market, and the region is expected to have significant growth during the projected period. There is a significant increase in the demand for GPUs in the region due to the numerous opportunities available in 3D modeling and rendering, as well as other mechanisms such as generative AI, artificial intelligence, and machine learning.

Which Region is Expanding at the Fastest CAGR?

Asia-Pacific is expected to make significant gains during the projected period, with the greatest compound annual growth rate (CAGR). The ongoing improvement of GPU architecture and design facilitates the rapid growth and advancement of the overall infrastructure in the Asia Pacific region.

The current report Scope analyzes GPU for AI Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Switzerland, Luxembourg, Rest of Europe)
• Asia Pacific (China, Japan, South Korea, India, Australia, Singapore, Taiwan, South East Asia, Rest of APAC)
• Latin America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East (Saudi Arabia, Turkey, UAE, Egypt, Qatar, Rest of Middle East)
• Africa (Nigeria, South Africa, Rest of Africa)

The above graph is for illustrative purposes only.

North America GPU for AI Market Analysis

According to Cognitive Market Research, the global GPU for AI market size was estimated at USD 17581.2 Million, out of which North America held the major market share of more than 40% of the global revenue with a market size of USD 7032.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 28.8% from 2024 to 2031.

• According to Cognitive Market Research, the US had a major share in the GPU for AI market with a market size of USD 5548.63 million in 2024 and is anticipated to grow at a CAGR of 28.6% during the projected period. The U.S. market's GPU for AI Market is driven by the widespread adoption of AI technologies in industries such as finance and healthcare.
• The Canada GPU for AI market had a market share of USD 843.90 million in 2024 and is anticipated to grow at a CAGR of 29.6% during the projected period. Canada’s growth in the market is stimulated by the increasing investment in AI research and development.
• The Mexico GPU for AI market is anticipated to see growth at a CAGR of 29.3% during the projected period, with a market size of USD 639.96 million in 2024.

Europe GPU for AI Market Analysis

According to Cognitive Market Research, the global GPU for AI market size was estimated at USD 17581.2 Million, out of which Europe held the market share of more than 30% of the global revenue with a market size of USD 5274.36 million in 2024 and will grow at a compound annual growth rate (CAGR) of 29.1% from 2024 to 2031.

• The United Kingdom GPU for AI market had a market share of USD 886.09 million in 2024 and is anticipated to grow at a CAGR of 29.9% during the projected period. In the UK, GPU for AI sales see an upswing due to the expansion of AI applications in various sectors and the increasing investments in AI ventures.
• The France GPU for AI market is anticipated to see growth at a CAGR of 28.3% during the projected period, with a market size of USD 485.24 million in 2024.
• According to Cognitive Market Research, the German GPU for AI market size was valued at USD 1044.32 million in 2024 and is anticipated to grow at a CAGR of 29.3% during the projected period. In Germany, GPU for AI surged due to the increasing demand for AI-driven solutions in industries such as healthcare, finance, and manufacturing.
• The Italy GPU for AI market is anticipated to see growth at a CAGR of 28.5% during the projected period, with a market size of USD 453.59 million in 2024.
• The Russia GPU for AI market is anticipated to see growth at a CAGR of 28.1% during the projected period, with a market size of USD 817.53 million in 2024.
• The Spain GPU for AI market is anticipated to see growth at a CAGR of 28.2% during the projected period with a market size of USD 432.50 million in 2024
• The Luxembourg GPU for AI market is anticipated to see growth at a CAGR of 29.2% during the projected period, with a market size of USD 163.51 million in 2024.
• The Portugal GPU for AI market is anticipated to see growth at a CAGR of 28.9% during the projected period, with a market size of USD 110.76 million in 2024.
• The Greece GPU for AI market is anticipated to see growth at a CAGR of 29.4% during the projected period, with a market size of USD 63.29 million in 2024.
• The Rest of Europe's GPU for AI market is anticipated to see growth at a CAGR of 27.8% during the projected period, with a market size of USD 817.53 million in 2024.

Asia Pacific GPU for AI Market Analysis

According to Cognitive Market Research, the global GPU for AI market size was estimated at USD 17581.2 Million, out of which Asia Pacific held the market share of around 23% of the global revenue with a market size of USD 4043.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 32.6% from 2024 to 2031.

• According to Cognitive Market Research, the China GPU for AI market size was valued at USD 1819.65 million in 2024 and is anticipated to grow at a CAGR of 32.1% during the projected period. GPU for AI surged in China due to rapid advancements in AI technologies.
• The Japan GPU for AI market is anticipated to see growth at a CAGR of 31.1% during the projected period, with a market size of USD 558.03 million in 2024.
• The India GPU for AI market had a market share of USD 485.24 million in 2024 and is anticipated to grow at a CAGR of 34.4% during the projected period. India's rising government support for semiconductor autonomy.
• The South Korean GPU for AI market is anticipated to see growth at a CAGR of 31.7% during the projected period, with a market size of USD 404.37 million in 2024.
• The Australian GPU for AI market is anticipated to see growth at a CAGR of 32.3% during the projected period, with a market size of USD 210.27 million in 2024.
• The South East Asia GPU for AI market is anticipated to see growth at a CAGR of 33.6% during the projected period, with a market size of USD 279.01 million in 2024.
• The Rest of Asia Pacific GPU for AI market is anticipated to see growth at a CAGR of 32.4% during the projected period, with a market size of USD 287.10 million in 2024.

South America GPU for AI Market Analysis

According to Cognitive Market Research, the global GPU for AI market size was estimated at USD 17581.2 Million, out of which the Latin America held the market share of around 5% of the global revenue with a market size of USD 879.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.0% from 2024 to 2031.

• According to Cognitive Market Research, the Brazil GPU for AI market size was valued at USD 376.24 million in 2024 and is anticipated to grow at a CAGR of 30.6% during the projected period. GPU for AIs flourished in Brazil due to increasing demand for artificial intelligence in various industries and the increasing digitalization.
• Argentina's GPU for AI market had a market share of USD 147.68 million in 2024 and is anticipated to grow at a CAGR of 30.9% during the projected period. Argentina's increasing interest in AI technologies and supportive government policies.
• Colombia GPU for AI market is anticipated to see growth at a CAGR of 29.8% during the projected period, with a market size of USD 78.24 million in 2024.
• Peru GPU for AI market is anticipated to see growth at a CAGR of 30.2% during the projected period, with a market size of USD 72.08 million in 2024.
• Chile GPU for AI market is anticipated to see growth at a CAGR of 30.3% during the projected period, with a market size of USD 63.29 million in 2024.
• The Rest of Latin America's GPU for AI market is anticipated to see growth at a CAGR of 29.1% during the projected period, with a market size of USD 141.53 million in 2024.

Middle East GPU for AI Market Analysis

According to Cognitive Market Research, the global GPU for AI market size was estimated at USD 17581.2 Million, out of which the Middle East and Africa held the major market share of around 2% of the global revenue with a market size of USD 351.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 30.3% from 2024 to 2031..

• The GCC Countries GPU for AI market is anticipated to see growth at a CAGR of 31.1% during the projected period, with a market size of USD 150.50 million in 2024. GPU for AI sales flourish due to the high adoption of cloud technology and increased investments in AI.
• The Egypt GPU for AI market is anticipated to see growth at a CAGR of 30.6% during the projected period, with a market size of USD 36.92 million in 2024.
• The South Africa GPU for AI market is anticipated to see growth at a CAGR of 31.3% during the projected period, with a market size of USD 55.56 million in 2024. GPU for AI sales flourished in South Africa due to increasing demand for AI applications in financial services, healthcare, and education.
• The Turkey GPU for AI market is anticipated to see growth at a CAGR of 29.8% during the projected period, with a market size of USD 30.24 million in 2024.
• The Nigeria GPU for AI market is anticipated to see growth at a CAGR of 29.4% during the projected period, with a market size of USD 36.92million in 2024.
• The Rest of the MEA GPU for AI market is anticipated to see growth at a CAGR of 29.3% during the projected period, with a market size of USD 41.49 million in 2024.

GPU for AI Market Analysis

GPU for AI Market Type Segment Analysis

According to Cognitive Market Research, Machine Learning are likely to dominate the GPU for AI Market over the forecast period. This is primarily attributable to the extensive implementation of machine learning algorithms in a variety of sectors, such as finance, healthcare, and automotive. There is a significant increase in the demand for potent GPUs that can efficiently manage complex computations, as companies are investing significantly in machine learning to improve analytics for prediction, automate processes, and enhance consumer experiences.

The Natural Language Processing is the fastest-growing segment in the GPU for AI Market. This growth has been substantially influenced by the increase in demand for NLP applications, including chatbots, virtual assistants, and language translation services. The requirement for high-performance GPUs to rapidly process and analyze enormous amounts of textual data has been exacerbated by the growing incorporation of AI-driven language models and the advancements in NLP technologies.

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of GPU for AI Industry. Request a Free Sample PDF!

GPU for AI Market Application Segment Analysis

According to Cognitive Market Research, the Media & Entertainment segment holds the largest share of the market. The reason for this is the widespread implementation of AI technologies in the fields of content creation, processing of videos, and streaming services. This sector's companies utilize GPUs to improve content recommendations, enhance user experiences, and facilitate sophisticated visual effects, resulting in a substantial demand for high-performance GPUs.

In the GPU for AI Market, the Defense & Intelligence has been expanding at a rapid pace. This growth has been stimulated by the growing use of AI in defense applications for surveillance, cybersecurity, and self-driving vehicles. The demand for potent GPUs that can handle complex AI tasks is on the rise as governments and defense agencies make significant investments in AI technologies to achieve strategic advantages.

The above Graph is for representation purposes only. This chart does not depict actual Market share.

GPU for AI Type of GPU Segment Analysis

• Integrated
• Discrete

GPU for AI End Users Segment Analysis

• Healthcare
• Automotive
• Finance
• Retail & E-commerce
• Manufacturing
• Government & Defense
• Education & Research
• Others

Author's Detail

Sneha Mali

Research Analyst at Cognitive Market Research

LinkedIn

Profile

I am a research analyst working in various domains including the Consumer Goods domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.

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