Hbm Memory

HBM technology landscape 2026: market and AI demand | Patsnap

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HBM3E, currently in production, delivers 896–1,280 GB/s bandwidth per stack with up to 48 GB capacity in 16-high configurations—the baseline for AI accelerators in 2026. HBM4, governed by JEDEC standard JESD270-4 published in December 2024, doubles the interface width to 2,048 bits and targets 1.5–2 TB/s bandwidth with 64 GB capacity per stack. HBM4 is the next-generation standard defined by JEDEC JESD270-4, published in December 2024. It features a 2,048-bit interface (double HBM3E’s 1,024-bit), 1.5–2 TB/s bandwidth per stack, and 64 GB capacity per stack. SK hynix, Samsung, and Micron began sampling in 2025, with mass production ramping in 2026. Micron Technology holds 21% market share and is shipping 12-stack HBM3E. These three companies form an effective oligopoly over global HBM supply. How much is the HBM market worth and what is its projected growth rate?+ The HBM market was valued at $2.93 billion in 2024 and is projected to reach $16.72 billion by 2033, representing a 21.35% compound annual growth rate (CAGR). HBM4, defined by JEDEC JESD270-4 (published December 2024), features a 2,048-bit interface, 1.5–2 TB/s bandwidth per stack, and 64 GB capacity per stack, with SK hynix, Samsung, and Micron entering mass production in 2026. Figure 3 — HBM Bandwidth Evolution by Generation (GB/s per stack, maximum values) Maximum bandwidth per stack has grown from 460 GB/s (HBM2E) to over 1,500 GB/s with HBM4, with each generation roughly doubling throughput to meet escalating AI accelerator requirements.

High-Bandwidth Memory (HBM) Market Size, Forecast 2025 - 2033 | ...

www.probitymarketinsights.com

5 MARKET SEGMENTATION 5.1 By Type 5.1.1 Introduction 5.1.2 HBM2 5.1.3 HBM2E 5.1.4 HBM3 5.1.5 HBM3E and Next-Generation HBM4 5.1.6 Market Size Estimations & Forecasts (2024 - 2033) 5.1.7 Y-o-Y Growth Rate Analysis HBM2E offers enhanced performance, widely deployed in existing data centers and GPU systems. HBM3 drives the bulk of AI accelerator demand, powering leading GPUs used for generative AI model training. The global HBM market size in 2024 is estimated at USD 7.1 billion. This includes demand across AI chips, data-center GPUs, graphics cards, supercomputers, networking devices, and high-performance edge systems. The market is forecast to reach USD 64.8 billion by 2033, driven by widespread adoption of HBM3, HBM3E, and upcoming HBM4 solutions in enterprise AI and HPC. The above 900 GB/s segment is the fastest-growing, driven by HBM3E-enabled GPUs used in large-scale AI training clusters and next-generation supercomputers.

High-Bandwidth Memory Market Size to Hit USD 69.75 Billion by 2035

www.precedenceresearch.com

High-Bandwidth Memory Market (By Application: Graphics Processing Units (GPUs), High-Performance Computing (HPC), Artificial Intelligence (AI) & Machine Learning (ML), Networking & Data Centers, Automotive (ADAS & Autonomous Driving), Consumer Electronics (Gaming Consoles, VR/AR), Others (e.g., Medical Imaging, Aerospace); By Memory Type: HBM1, HBM2, HBM2E, HBM3, HBM4; By End-User Industry: Semiconductors, Automotive, Healthcare, Telecommunications, Consumer Electronics, Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035 Samsung Electronics Co., Ltd.: Samsung is a major HBM producer, supplying HBM2E (Flashbolt) and HBM3 (Icebolt) memory for high-performance GPUs and AI accelerators. By application, the artificial intelligence & machine learning segment is expected to grow at a significant CAGR between 2026 and 2035. By memory type, the HBM2 segment held the largest market share, at 50%, in 2025. By memory type, the HBM3 segment is expected to grow at a remarkable CAGR between 2026 and 2035. The market was valued highly in 2024 and is expected to continue its upward trajectory in 2025, indicating its strong position in memory technology. Notably, the graphics processing units highlight the critical role of HBM in gaming and graphics-intensive applications. Looking ahead, artificial intelligence and machine learning are predicted to drive notable growth in high-bandwidth memory demand. As innovations continue, the emergence of HBM3 technology is set to further enhance performance and efficiency in various sectors.

DRAM Market 2026-2036 | HBM, DDR5, AI Memory Forecast

www.futuremarketsinc.com

Figure 12 HBM Revenue Forecast by Generation: HBM2E to HBM5E (2022–2036F) 56 · Figure 13 HBM Bit Shipment Forecast – Total and by Generation (2022–2036F) 59 · Figure 14 HBM Base Logic Wafer Demand Forecast: Standard vs. Custom HBM (2022–2036F) 62 · Figure 15 HBM Customer Demand Breakdown: Nvidia, Google, AMD, Other (2023–2028F) 65 · Figure 16 Standard vs. Custom HBM Revenue Split (2024–2030F) 68 Figure 48 HBM Wafer Capacity Allocation: Impact on Standard DRAM Supply (2024–2028F) 235 · Figure 49 China HBM3/HBM3E Progress Update: CXMT and JHICC Status (2026) 244 The explosion of AI training and inference workloads has elevated high-bandwidth memory (HBM) from a specialist product into the single most strategically important segment of the memory market, with supply allocation now directly shaping the competitive position of every major AI accelerator vendor. Samsung, SK hynix and Micron are racing to scale HBM3E and HBM4 capacity, while DDR5, LPDDR5X and emerging compute express link (CXL) memory architectures are simultaneously reshaping mainstream server, PC and mobile demand. Dedicated sections address the HBM market in exceptional detail, including a generation-by-generation revenue and shipment breakdown from HBM2E to HBM5E, custom HBM architectures and customer-level demand analysis, and a comprehensive view of China's nascent HBM ecosystem.

[News] Samsung, SK hynix Reportedly Plan ~20% HBM3E Price Hike ...

www.trendforce.com

AI-driven demand is reshaping the memory market, with HBM3E pricing expected to trend higher amid tightening supply. According to Chosun Biz, following reports that NVIDIA has been approved to sell its H200 AI chips to China, sources say Samsung Electronics and SK hynix have raised HBM3E supply prices by nearly 20% for 2026. One key factor, as highlighted in the report, is that demand for HBM3E has exceeded expectations following approval for NVIDIA’s H200 AI chip exports to China, with each H200 said to incorporate six stacks of HBM3E. Sources cited by Reuters indicate that NVIDIA plans to fulfill initial orders using existing inventory, with shipments projected at 5,000 to 10,000 chip modules—equivalent to roughly 40,000 to 80,000 H200 AI chips. Reuters adds that the company is also preparing to expand production capacity, with orders for the additional output expected to open in the second quarter of 2026. Beyond NVIDIA, the report notes that major tech firms such as Google and Amazon are also seeing rising HBM3E demand, as Google’s Tensor Processing Unit (TPU) and Amazon’s Trainium—both equipped with HBM3E—are scheduled to begin shipments in 2026. The report adds that HBM content per accelerator is expected to increase by roughly 20–30% compared with earlier generations. Analysts cited in the report forecast that next year’s HBM revenue mix will be approximately 55% HBM4 and 45% HBM3E, with HBM4 beginning in the third quarter to rapidly absorb demand that had previously been served by HBM3E. ... [News] Samsung HBM4 Reportedly Beats Expectations in Broadcom Test, Set to Lead 2026 Google TPU Supply

2026 Market Outlook: SK hynix’s HBM to Fuel AI Memory Boom

news.skhynix.com

Some forecasts even suggest that the HBM market size in 2028 will surpass the entire DRAM market of 2024. BofA estimates the 2026 HBM market to reach $54.6 billion, a 58% increase from the previous year. Goldman Sachs particularly forecasted that HBM demand for custom-ordered, ASIC-based AI chips will skyrocket by 82%, accounting for one-third of the market. This indicates that AI infrastructure investment is diversifying beyond general-purpose GPUs into specialized domains. Most experts expect HBM3E to remain the flagship product in the 2026 HBM market. The total market is projected to approach the $1 trillion mark, with memory semiconductors emerging as a key driver in terms of both demand and profitability. In particular, industry experts expect SK hynix to be the primary anchor of this shift, as a chipmaker capable of delivering both HBM3E and next-gen HBM4 reliably. As NVIDIA did with their new “Blackwell Ultra” AI accelerators, Global Big Tech companies, including Google and AWS, are expanding their proprietary ASIC-based AI chip development and selecting HBM3E as the optimal solution. Goldman Sachs assessed that “SK hynix will maintain its dominant position in HBM3 and HBM3E until at least 2026, sustaining a total HBM market share of over 50%.” UBS highlighted the company’s standing among Big Tech clients, noting that SK hynix will be the first HBM3E supplier for Google’s latest Tensor Processing Units (TPUs), the v7p and v7e.