AI Training Card Market Insights: Industry Opportunities, Drivers, Outlook and Trends Research Report

On Sep 11, the latest report "Global AI Training Card Market 2025 by Manufacturers, Regions, Types and Applications, Forecast to 2031" from Global Info Research provides a detailed and comprehensive analysis of the global AI Training Card market. The report provides both quantitative and qualitative analysis by manufacturers, regions and countries, types and applications. As the market is constantly changing, this report explores market competition, supply and demand trends, and key factors that are causing many market demand changes. The report also provides company profiles and product examples of some of the competitors, as well as market share estimates for some of the leading players in 2025.

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According to our (Global Info Research) latest study, the global AI Training Card market size was valued at US$ 24556 million in 2024 and is forecast to a readjusted size of USD 115093 million by 2031 with a CAGR of 24.6% during review period.
In this report, we will assess the current U.S. tariff framework alongside international policy adaptations, analyzing their effects on competitive market structures, regional economic dynamics, and supply chain resilience.
AI training cards are high-performance computing hardware designed specifically for training artificial intelligence models. They are usually based on graphics processing units (GPUs), tensor processing units (TPUs), or other specialized accelerators, capable of processing large amounts of data and performing complex computing tasks. These cards play a vital role in the AI ​​model training process, as AI training requires a lot of computing power to process and analyze data, adjust model parameters, and improve model accuracy and performance.
As the core hardware that supports efficient training and reasoning of artificial intelligence models, AI training cards are in a stage of rapid development. As large models (such as GPT, LLaMA, and Claude) place higher demands on computing power and video memory capacity, the global market demand for high-computing GPUs (such as NVIDIA H100), dedicated AI accelerators (such as TPU and Ascend), and heterogeneous chips (such as FPGA+NPU combinations) continues to rise. NVIDIA has firmly established its leading position in the high-end AI training market with its CUDA ecosystem and powerful software and hardware integration advantages; while manufacturers such as AMD, Google, Graphcore, and Cerebras are also constantly catching up in technological breakthroughs and architectural innovations. At the same time, Chinese local manufacturers such as Huawei (Ascend) and Cambricon are accelerating their layout in promoting domestic substitution, independent control, and AI computing infrastructure construction, especially in the large-scale application of government affairs, finance, security, and other scenarios. Overall, the AI ​​training card market is moving from "hardware stack performance" to the competition stage of "software and hardware collaboration + heterogeneous integration". The future trend will focus on ultra-high bandwidth memory (HBM3/4), low power consumption and high computing power ratio, intelligent resource scheduling, and support for multi-modal large models. As AI technology continues to evolve, AI training cards will also play an increasingly critical role in the localization process, global AI infrastructure construction, and the commercialization of AI services.
This report is a detailed and comprehensive analysis for global AI Training Card market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approval.
AI Training Card market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type: Cloud、 Terminal
Market segment by Application: Internet、 Medical、 Autonomous Driving、 Others
Major players covered: Intel、 NVIDIA、 AMD、 Cerebras、 Graphcore、 Qualcomm、 IBM、 Moore Threads、 Cambricon、 Huawei、 Goke Microelectronics、 MetaX、 Hygon、 Iluvatar、 Birentech、 Kunlunxin

The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe AI Training Card product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of AI Training Card, with price, sales quantity, revenue, and global market share of AI Training Card from 2020 to 2025.
Chapter 3, the AI Training Card competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the AI Training Card breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment AI Training Card the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the AI Training Card sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2024.and AI Training Card market forecast, by regions, by Type, and by Application, with sales and revenue, from 2025 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of AI Training Card.
Chapter 14 and 15, to describe AI Training Card sales channel, distributors, customers, research findings and conclusion.

The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Training Card
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace

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