Global High Bandwidth Memory for AI Market 2025 by Company, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global High Bandwidth Memory for AI market size was valued at US$ 19670 million in 2024 and is forecast to a readjusted size of USD 55700 million by 2031 with a CAGR of 16.3% during review period.

High Bandwidth Memory (HBM) for AI is a type of advanced DRAM specifically designed to provide high-speed data access and exceptional memory bandwidth for artificial intelligence (AI) applications. It is integrated directly onto the same package as the processor (e.g., GPU, CPU, or AI accelerator), enabling faster communication and lower latency compared to traditional memory types. HBM supports demanding AI workloads, such as deep learning model training, natural language processing, and real-time inference, by offering efficient data handling and reduced power consumption. Its compact stacked architecture allows for high capacity and performance while minimizing space usage in AI hardware systems.



This report is a detailed and comprehensive analysis for global High Bandwidth Memory for AI market. Both quantitative and qualitative analyses are presented by company, 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.

Key Features:

Global High Bandwidth Memory for AI market size and forecasts, in consumption value ($ Million), 2020-2031

Global High Bandwidth Memory for AI market size and forecasts by region and country, in consumption value ($ Million), 2020-2031

Global High Bandwidth Memory for AI market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031

Global High Bandwidth Memory for AI market shares of main players, in revenue ($ Million), 2020-2025

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 High Bandwidth Memory for AI

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global High Bandwidth Memory for AI market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include SK Hynix, Micron Technology Inc., Intel, Samsung, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

High Bandwidth Memory for AI 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. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type

HBM (First Generation)

HBM (Second Generation)

Others

Market segment by Application

Deep Learning Model Training

Inference in AI Systems

High-Performance Computing (HPC) in AI

Others

Market segment by players, this report covers

SK Hynix

Micron Technology Inc.

Intel

Samsung

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe High Bandwidth Memory for AI product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of High Bandwidth Memory for AI, with revenue, gross margin, and global market share of High Bandwidth Memory for AI from 2020 to 2025.

Chapter 3, the High Bandwidth Memory for AI competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and High Bandwidth Memory for AI market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of High Bandwidth Memory for AI.

Chapter 13, to describe High Bandwidth Memory for AI research findings and conclusion.