HBM3 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the HBM3 market size is expected to increase from USD 1.08 billion in 2025 to USD 1.12 billion in 2026 and reach USD 1.16 billion by 2031, growing at a CAGR of 0.64% over 2026-2031.

This report is Segmented by Memory Capacity Per Stack (Up To 8 GB, 12 To 16 GB, and More), Processor Interface (GPU, CPU, FPGA, and More), Packaging Type (2. 5D, Fan-Out, and More), Application (AI Training, AI Inference, High-Performance Computing Servers, and More), End Use Industry (Cloud Service Providers, and More), and Geography (North America, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global HBM3 Market Trends and Insights

AI Server and Accelerated Computing Buildout

Sustained spending on AI server infrastructure remains the strongest support factor for the HBM3 market during 2026-2031, even as the latest design wins are shifting toward HBM4 platforms. The HBM3 market still benefits from the fact that many enterprise and second-tier cloud customers are buying hardware that is available now, qualified now, and easier to integrate into existing software and cooling environments than first-wave HBM4 systems. SK hynix stated in its 2026 outlook that ASIC-related HBM demand grew 82% year over year, indicating that demand tied to accelerated computing is still widening across buyer groups rather than narrowing around a single GPU cycle. H100-class clusters also continue to support the HBM3 market because their useful life spans multi-year depreciation schedules, keeping deployed systems active in training, inference, and support roles after newer platforms begin shipping. Operators also face software validation and migration work when they move critical workloads to a new hardware generation, and that makes HBM3-era infrastructure commercially relevant for longer than a simple launch timeline would suggest.

Advanced Packaging Capacity as the New Supply Bottleneck

Packaging availability remains one of the clearest structural supports for the HBM3 market because limited packaging throughput slows the rate at which HBM4 systems can fully replace earlier HBM3-based designs. The HBM3 market is therefore helped by a practical constraint in the supply chain, since advanced packaging slots determine shipment timing just as much as memory die availability does. Each generational transition requires renewed work on interposer layouts, through-silicon via integration, bump structures, and thermal validation, which lengthens the path from engineering readiness to volume system deployment. Research presented at the 2025 Electronics Packaging Technology Conference showed that embedded bridge die interposers are a viable route for heterogeneous integration of NPUs and HBM, supporting the broader industry push to diversify packaging formats beyond conventional interposer-heavy approaches. Synopsys also described its work with Intel Foundry on EMIB-T packaging for larger form factors, demonstrating that the supply chain is actively developing alternatives, even though those alternatives still need time to scale and qualify.

TSV Yield Losses and Thermal Throttling in High-Stack Devices

Yield loss in taller stacked devices remains a direct constraint on the HBM3 market, as each additional die increases the likelihood that the full package will fail to meet cost or reliability targets. The HBM3 market, therefore, faces a ceiling even when demand is healthy, since higher stack counts improve density but also raise manufacturing risk and heat concentration. MDPI Electronics noted that thermal accumulation remains a persistent issue in high-layer HBM structures and that hybrid bonding can materially reduce thermal resistance compared with microbump interconnects, even though the process shift introduces a fresh learning-curve risk of its own. In practice, thermal throttling reduces sustained performance under demanding workloads, weakening the economic case for keeping older HBM3 systems in the hottest, most densely utilized rack environments. These factors compress supplier margins, narrow the price advantage over newer memory generations, and slow the rate of HBM3 market growth, even when procurement intent remains positive.

Other drivers and restraints analyzed in the detailed report include:

1. HBM4 Qualification and Platform Refresh Cycles
2. Sovereign Semiconductor Incentives and Localized Capex
3. CoWoS, SoIC, and Hybrid Bonding Capacity Constraints

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

The 12-16 GB tier accounted for 68.12% of HBM3 revenue in 2025, making it the dominant capacity class across the HBM3 market, as it matched the reference configuration used in the largest installed base of H100-era accelerated systems. That leading position reflected broad standardization around 16 GB stacks for training density, system balance, and qualification familiarity during the main HBM3 deployment cycle. The up to 8 GB segment, which represented earlier, more cost-sensitive configurations, remained the smallest revenue contributor as system designers shifted toward denser stacks for advanced compute workloads. The above 16 GB tier is projected to grow at a 1.24% CAGR through 2031, making it the fastest-growing capacity range in the HBM3 market for buyers who want higher density without forcing a full platform migration. The HBM3 industry keeps this tier relevant because HPC server deployments and enterprise consolidation programs still value stack density and platform continuity over the higher cost of jumping immediately to the next generation.

HBM3 architecture in this segment remains tied to standards-defined technical limits on interface width and transfer capability, which is why the most advanced capacity points are used in bandwidth-intensive simulation, scientific computing, and tightly packed server environments rather than in broad, low-cost volume deployment. Suppliers also continue to invest in methods that reduce warpage, delamination, and stack stress in high-layer packages, since the commercial future of larger HBM3 stacks depends on making those devices reliable enough for sustained deployment. That effort supports the HBM3 market by keeping higher-capacity options commercially viable for customers who care more about deployed productivity than about being first to move to HBM4. It also suggests that the segment will remain available throughout most of the forecast period because the technical work required to support it is still considered economically meaningful by memory vendors.

GPU held 73.29% of processor interface revenue in 2025, underscoring how strongly the HBM3 market was shaped by the installed base built around NVIDIA H100-class training infrastructure. That dominance came from the fact that GPU remained the reference platform for large-scale AI training, and the bulk of HBM3 deployment followed that hardware cycle. AI accelerators and ASICs are projected to grow at a 1.61% CAGR through 2031, making it the fastest-growing processor interface segment in the HBM3 market as custom silicon programs expand the demand base. The HBM3 market gains resilience from this shift because buyer concentration falls when custom accelerator projects from large cloud operators and platform builders consume HBM3E within the same broader supply ecosystem. The HBM3 industry, therefore, becomes less dependent on one merchant GPU roadmap and more tied to a broader set of long-cycle compute programs.

This matters because custom accelerator procurement often runs on multi-year allocation agreements, which improve visibility for memory suppliers even as public GPU cycles transition to newer generations. CPU and FPGA interfaces remain smaller contributors because power delivery, controller complexity, and mainstream server economics still favor DDR5 in standard deployments. Even so, FPGA-based systems continue to matter in aerospace, defense, and specialized embedded compute because these programs undergo long qualification windows and do not migrate quickly to the latest memory generation. The HBM3 market, therefore, retains useful demand outside the main GPU base, and that diversification helps explain why revenue remains positive even after HBM4 entered production.

Complete Report Scope:

• By Memory Capacity Per Stack
  • Up to 8 GB
  • 12 to 16 GB
  • Above 16 GB
• By Processor Interface
  • GPU
  • CPU
  • AI Accelerator and ASIC
  • FPGA
  • Other Interfaces
• By Packaging Type
  • 2.5D Silicon Interposer
  • Fan-Out / Embedded Bridge Packaging
  • Other Advanced Packaging
• By Application
  • Graphics
  • AI Training
  • AI Inference
  • High-Performance Computing (HPC) Servers
  • Networking and Telecommunications
  • Other Applications
• By End Use Industry
  • Cloud Service Providers
  • Enterprise IT
  • Telecommunications
  • Automotive
  • Aerospace and Defense
  • Other End-user Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • South Korea
    • Taiwan
    • India
    • Rest of Asia-Pacific
  • South America
  • Middle East and Africa

Geography Analysis

Asia-Pacific accounted for 71.41% of revenue in 2025, making it the core production and value center of the HBM3 market. That position comes from South Korea's concentration in TSV-stacked HBM manufacturing and Taiwan's central role in advanced packaging, especially in the interposer and CoWoS ecosystem that still underpins much of HBM3 system assembly. The HBM3 market in Asia-Pacific also benefits from deep supplier relationships, process knowledge, and manufacturing coordination built during earlier deployment cycles that remain useful as the industry navigates a generational transition. China's role in the broader region is more limited than pure infrastructure demand might suggest, because HBM export restrictions introduced a harder boundary on advanced memory access from late 2024. The Bureau of Industry and Security confirmed those controls on HBM under ECCN 3A090.c, effectively reshaping the regional addressable base and redirecting part of the deployment logic for advanced AI memory.

North America is projected to grow at a 1.57% CAGR through 2031, making it the fastest-growing regional block in the HBM3 market. Demand in this region is supported by enterprise IT procurement cycles that trail hyperscaler adoption and by the growing policy push to localize advanced semiconductor packaging and manufacturing. The SK hynix CHIPS-backed Indiana project is important here because it creates a domestic packaging and research-and-development anchor that aligns with the period when North American enterprise demand for HBM3-class systems remains active. The National Institute of Standards and Technology confirmed that the project includes up to USD 458 million in direct funding and is expected to enter mass production in the second half of 2028.

Europe remains a smaller but steady part of the HBM3 market because procurement is tied more closely to institutional HPC spending, public research systems, and structured technology programs than to large-scale hyperscaler hardware refreshes. That gives the region a more measured demand profile, with volume limited but program continuity stronger across multi-year procurement cycles. South America, the Middle East, and Africa remain early-stage demand pools in the HBM3 market, and their activity is likely to be linked to edge data center buildout, sovereign AI programs, and imported, accelerated systems rather than local fabrication. These regions are likely to keep using proven HBM3-based configurations in the near term because supply accessibility, qualification maturity, and deployment speed remain more important than immediate adoption of the newest memory generation.

1. SK hynix Inc.
2. Samsung Electronics Co., Ltd.
3. Micron Technology, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 AI Server and Accelerated Computing Buildout
  • 4.2.2 Advanced Packaging Capacity as the New Supply Bottleneck
  • 4.2.3 HBM4 Qualification and Platform Refresh Cycles
  • 4.2.4 Sovereign Semiconductor Incentives and Localized Capex
  • 4.2.5 Hyperscaler ASIC Co-Design and Memory Pre-Allocation
  • 4.2.6 Edge AI Expansion in Automotive and Industrial Systems
• 4.3 Market Restraints
  • 4.3.1 TSV Yield Losses and Thermal Throttling in High-Stack Devices
  • 4.3.2 CoWoS, SoIC, and Hybrid Bonding Capacity Constraints
  • 4.3.3 Export Controls and Customer Concentration Risk
  • 4.3.4 Long Qualification Cycles and Interoperability Lock-In
• 4.4 Industry Value Chain Analysis
• 4.5 Supply Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Memory Capacity Per Stack
  • 5.1.1 Up to 8 GB
  • 5.1.2 12 to 16 GB
  • 5.1.3 Above 16 GB
• 5.2 By Processor Interface
  • 5.2.1 GPU
  • 5.2.2 CPU
  • 5.2.3 AI Accelerator and ASIC
  • 5.2.4 FPGA
  • 5.2.5 Other Interfaces
• 5.3 By Packaging Type
  • 5.3.1 2.5D Silicon Interposer
  • 5.3.2 Fan-Out / Embedded Bridge Packaging
  • 5.3.3 Other Advanced Packaging
• 5.4 By Application
  • 5.4.1 Graphics
  • 5.4.2 AI Training
  • 5.4.3 AI Inference
  • 5.4.4 High-Performance Computing (HPC) Servers
  • 5.4.5 Networking and Telecommunications
  • 5.4.6 Other Applications
• 5.5 By End Use Industry
  • 5.5.1 Cloud Service Providers
  • 5.5.2 Enterprise IT
  • 5.5.3 Telecommunications
  • 5.5.4 Automotive
  • 5.5.5 Aerospace and Defense
  • 5.5.6 Other End-user Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 Europe
    • 5.6.2.1 Germany
    • 5.6.2.2 United Kingdom
    • 5.6.2.3 France
    • 5.6.2.4 Italy
    • 5.6.2.5 Rest of Europe
  • 5.6.3 Asia-Pacific
    • 5.6.3.1 China
    • 5.6.3.2 Japan
    • 5.6.3.3 South Korea
    • 5.6.3.4 Taiwan
    • 5.6.3.5 India
    • 5.6.3.6 Rest of Asia-Pacific
  • 5.6.4 South America
  • 5.6.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Products and Services, Recent Developments)
  • 6.4.1 SK hynix Inc.
  • 6.4.2 Samsung Electronics Co., Ltd.
  • 6.4.3 Micron Technology, Inc.
• 6.5 Other Ecosystem Players
  • 6.5.1 NVIDIA Corporation
  • 6.5.2 AMD Inc.
  • 6.5.3 Intel Corporation
  • 6.5.4 Taiwan Semiconductor Manufacturing Company Limited
  • 6.5.5 ASE Technology Holding Co., Ltd.
  • 6.5.6 Amkor Technology, Inc.
  • 6.5.7 JCET Group Co., Ltd.
  • 6.5.8 Powertech Technology Inc.
  • 6.5.9 Rambus Inc.
  • 6.5.10 Broadcom Inc.
  • 6.5.11 Marvell Technology, Inc.
  • 6.5.12 Cadence Design Systems, Inc.
  • 6.5.13 Synopsys, Inc.
  • 6.5.14 Applied Materials, Inc.
  • 6.5.15 Lam Research Corporation
  • 6.5.16 KLA Corporation
  • 6.5.17 Tokyo Electron Limited
  • 6.5.18 Qualcomm Incorporated

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment