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市場調查報告書
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2128693

全球先進積體電路基板市場（2027-2037 年）

The Global Advanced IC Substrates Market 2027-2037
出版日期: | 出版商: Future Markets, Inc. | 英文 354 Pages, 158 Tables, 76 Figures | 訂單完成後即時交付

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先進積體電路基板材料是人工智慧硬體的物理基礎，該市場已從成熟的通用產品供應階段轉變為在一個產品週期內就面臨嚴重供應限制的情況。基板製造中使用的九大材料類別包括：多層介電薄膜、覆銅層壓板和預浸料、玻璃布增強材料、填充材、銅箔、乾膜光阻劑、抗蝕劑、電鍍和去污化學品以及表面處理化學品。其成長速度顯著超過了其所供應的基板市場。

近期事態發展已顯著改變了供應格局。 Ibiden決定從2026年起三年內投資5,000億日元，並將在美國亞利桑那州新建一座價值12億美元的工廠。 AT&S已獲得15億至20億歐元的資金，用於擴建其位於Klim的工廠，資金全部來自AMD和另一家客戶。 Unimicron已將2026年的資本支出設定為超過250億新台幣。儘管已公佈的基板投資總額超過129億美元，但基板原料的投資仍約為15.5億美元。超過8:1的比例意味著，即使基板供應短缺的情況有所緩解，原料供應短缺的問題仍將持續存在。

市場集中度是該市場的一個顯著結構特徵。替代壓力正在加劇。京瓷計畫於2026年4月實現多層陶瓷芯基板的商業化，三星馬達已與住友化學成立合資企業，生產玻璃基板，目標在2027年初開始投產。這些舉措與優美光參與康寧的先導計畫相輔相成。若無機芯材的採用加速，到2037年，層壓板和玻璃布的需求將下降32%，增材膜的需求將下降16%，而電鍍化學品的需求將會增加。

「全球先進積體電路基板市場（2027-2037）」預測了先進積體電路基板製造過程中所用材料的消耗量，單位為噸、平方公尺、公升，用於生產、銷售和生產力計畫。本報告並非著重分析基板本身。基板生產屬於「投入」，而材料消耗屬於「生產」。現有的基板市場研究預測了封裝設計商、外包組裝服務商 (OSAT) 和無廠半導體公司的基板出貨量和銷售收入。材料投入被視為模型假設，並未公開揭露。對於增厚膜、銅箔、玻璃布、填料和電鍍化學品的製造商而言，這個假設構成了整個目標市場。本報告將此作為主要議題進行探討。

該研究涵蓋九種材料分類和七個地區，並將需求分配到各個基板製造地區。研究檢驗了六種情境：人工智慧相關資本投資放緩、玻璃芯材應用加速、供應中斷、中國快速本地化以及面板規格轉變。

目錄包括：

  • 按材料分類、基板平台、應用和地區，對 2027-2037 年的市場規模和預測（以噸、平方公尺和美元計）進行了介紹。
  • 五調查方法，包括完全公開轉換係數和麵積密度表。
  • 每種材料類別的層數倍增器，以及成長率為 12% 的類別與成長率為 4.7% 的類別之間的差異。
  • 針對 510 x 515 毫米和 730 x 920 毫米規格，計算了整個機身尺寸範圍內面板利用率的幾何數據。
  • 基於單層屈服強度和層數的複合材料層合板屈服強度建模
  • 224G 和 448G 訊號完整性藍圖。包括針對每種層壓板損耗等級計算的介電衰減。
  • 依材料分析：等級、規格、供應商趨勢、生產能力、認證週期和需求預測。
  • 無機芯材的替代品：玻璃和陶瓷。每平方公尺材料替代量的量化。
  • 使用 CR1、CR3、CR5 和 HHI 按類別進行集中度分析；對單一來源的依賴性和供應中斷成本進行建模。
  • 區域生產及消費平衡及貿易風險
  • 按材料類別分類的 PFAS 暴露量、回收率和嵌入碳含量
  • 3D Glass Solutions, Absolics, Admatechs, Advanced Chip and Circuit Materials, Advanced Semiconductor Engineering (ASE), Aeluma, AGY Holding, Ajinomoto Co., Ajinomoto Fine-Techno, AKM Meadville, Alliance Material, AMD, Asahi Kasei, AT&S, Baotek Industrial Materials, BOE Technology, Chang Chun Group, Chang Chun Petrochemical, Chemtronics, Chongqing Polycomp, Circuit Foil Luxembourg, Co-Tech Development, Coherent, Compeq Manufacturing, Corning, Daeduck Electronics, Dai Nippon Printing, Denka, Doosan Corporation, Doosan Corporation Electro-Materials, DuPont Electronics / Qnity, Elite Material, Eternal Materials, Fastprint Circuit Tech, FICT, Fujikura, Fukuda Metal Foil & Powder, Furukawa Electric, FusionAP, Goldenmax International, Grace Fabric Technology, Haesung DS, Ibiden, Intel, Isola Group, ITEQ Corporation, Itera, JCET, JCU Corporation, Jiujiang Defu Technology, JNTC, Jushi Group, JX Advanced Metals, KCC Corporation, Kingboard Laminates, Kinsus Interconnect, Kinwong Electronic, Kyocera, Lens Technology, LG Chem, LG Innotek, Lotte Energy Materials, LPKF Laser & Electronics, MacDermid Alpha, Meiko Electronics, Mitsubishi Chemical等。

目錄

第1章摘要整理

第2章：引言和範圍

第3章：先進積體電路基板的需求基礎

  • 目標基板平台
  • 基材面積作為需求單位
  • 面板格式和使用方法
  • 2025-2037年基材產能預測
  • 基板製造商的現狀
  • 材料認證實踐和週期時間

第4章：需求促進因素

  • AI加速器與GPU出貨量
  • HBM堆疊高度和記憶體基板要求
  • 晶片組的採用和封裝領域的成長
  • 整合光學元件和光子基板的封裝
  • 伺服器 CPU 和網路專用積體電路 (ASIC)
  • 行動和消費者
  • 汽車和工業
  • 航太/國防
  • 號誌完整性藍圖：224G、448G 及關鍵影響
  • 需求場景的定義

第5章：預測性調查方法

  • 模型架構
  • 設備運送至基板區域
  • 從基板面積到層面積
  • 層面積和材料質量：面積密度和厚度
  • 銅層厚度、電鍍餘量、蝕刻損失
  • 良率、缺陷率、利用率
  • 面板格式敏感度
  • 價格模型和平均售價下降
  • 自上而下調整供應商細分報告

第6章：材料分割

  • 從材料到工藝的映射
  • 材料和平台映射
  • 細分市場定義及主要用途
  • 典型先進基板的成本構成

第7章：全球市場規模及預測（2027-2037 年）

  • 市場總交易量及交易額
  • 按材料類別預測
  • 基材平台預測
  • 應用特定預測
  • 區域預測
  • 平均售價的價格預測和趨勢
  • 情境分析

第8章 材料分析

  • 介電膜的形成
  • 覆銅層壓板和預浸料
  • 玻璃布增強
  • 填料
  • 銅箔
  • 乾膜光阻劑
  • 阻焊抗蝕劑
  • 用於去除鍍層和污漬的化學品
  • 表面處理化學品
  • 跨源匯總

第9章 無機和混合核

  • 玻璃芯基板
  • 矽芯基板
  • 陶瓷和玻璃陶瓷芯
  • 岩心遷移的物質影響
  • 替代方案及其對有機物需求的影響

第10章 區域分析

  • 中國
  • 日本
  • 韓國
  • 台灣
  • 美國
  • 歐洲
  • 東南亞
  • 跨區域概況和貿易差額

第11章 供應鏈、集中度與風險

  • 價值鏈映射
  • 按材料類別進行的濃度分析
  • 單源和雙源暴露量化。
  • 晶片設計商和原始設備製造商 (OEM) 會簽訂上游工程。
  • 出口限制、貿易措施、關稅風險
  • 上游原料投入
  • 混沌場景與混沌成本的建模
  • 庫存、分配和前置作業時間行為

第12章：競爭環境與供應商環境

  • 供應商概覽
  • 涉及多種材料的專業
  • 區域冠軍
  • 按材料和區域劃分的持股部位
  • 資本投資追蹤器
  • 夥伴關係、合資、收購
  • 新參與者評估

第13章永續性和監管

  • 基質中的 PFAS 暴露
  • 不含鹵素，符合RoHS和REACH標準。
  • 銅和貴金屬的回收
  • 基材製造中的碳含量
  • 監理展望

第14章：公司簡介

  • 多層介電薄膜（12家公司簡介）
  • 覆銅層壓板和預浸料（17家公司簡介）
  • 玻璃布和玻璃紗（7家公司簡介）
  • 填充內容（4家公司的公司簡介）
  • 銅箔（15家公司簡介）
  • 乾膜和抗蝕劑劑（7家公司的簡介）
  • 與電鍍、脫脂和表面處理相關的化學產品（11家公司簡介）
  • 基板製造商（26家公司簡介）
  • 玻璃芯基板及其他公司（34家公司簡介）

第15章附錄

第16章 參考文獻

Advanced IC substrate materials form the physical foundation of AI hardware, and the market has moved from mature commodity supply to acute constraint within a single product cycle. The nine material classes consumed in substrate manufacture - build-up dielectric film, copper-clad laminate and prepreg, glass cloth reinforcement, fillers, copper foil, dry film photoresist, solder resist, plating and desmear chemistries, and surface finish chemistries. Growth substantially outpaces the substrate market it supplies.

Recent developments have reshaped the supply picture. Ibiden committed ¥500 billion over three years from FY2026 alongside a US$1.2 billion Arizona facility; AT&S secured €1.5 to 2.0 billion for Kulim expansion financed entirely by AMD and one further customer; Unimicron set 2026 capital expenditure above NT$25 billion. Combined announced substrate investment exceeds US$12.9 billion against approximately US$1.55 billion directed at the materials that supply it - a ratio of more than eight to one that sustains material tightness even as substrate tightness eases.

Concentration is the defining structural feature. Substitution pressure is intensifying. Kyocera commercialised a multilayer ceramic core substrate in April 2026, and Samsung Electro-Mechanics formed a glass substrate joint venture with Sumitomo Chemical targeting production in early 2027, joining Unimicron's stake in the Corning pilot. Non-organic core adoption at accelerated rates would remove 32 per cent of laminate and glass cloth demand by 2037 while leaving build-up film reduced by 16 per cent and plating chemistry higher.

The Global Advanced IC Substrates Market 2027–2037 forecasts consumption of the materials used to manufacture advanced IC substrates, expressed in the units in which those materials are produced, sold and capacity-planned: tonnes, square metres and litres. It is not a study of substrates. Substrate production is the input; material consumption is the output. Existing substrate market studies forecast substrate units and revenue, serving package designers, OSATs and fabless companies. Material input is treated as a modelling assumption and is not disclosed. For producers of build-up film, copper foil, glass cloth, fillers and plating chemistry, that assumption constitutes the entire addressable market. This report makes it the subject.

Coverage spans nine material classes and seven regions, with demand allocated to the region of substrate manufacture. Six scenarios test AI capex slowdown, accelerated glass core adoption, supply disruption, rapid Chinese localisation and panel format transition.

Contents include:

  • Market size and forecasts 2027–2037 in tonnes, square metres and US dollars, by material class, substrate platform, application and region
  • Five-stage forecast methodology with full conversion factor disclosure and areal density tables
  • Layer multipliers by material class, and the resulting divergence between classes growing at 12 per cent and those growing at 4.7 per cent
  • Panel utilisation geometry, computed for 510 × 515 mm and 730 × 920 mm formats across the body size range
  • Compound stack yield modelling by per-layer yield and layer count
  • Signal integrity roadmap to 224G and 448G, with dielectric attenuation computed by laminate loss class
  • Material-by-material analysis: grades, specifications, supplier landscapes, capacity, qualification cycles and demand forecasts
  • Non-organic core substitution: glass and ceramic, with material displacement quantified per square metre
  • Concentration analysis with CR1, CR3, CR5 and HHI by class; single-source exposure and disruption cost modelling
  • Regional production versus consumption balance and trade exposure
  • PFAS exposure, recovery rates and embodied carbon by material class
  • 116 company profiles including 3D Glass Solutions, Absolics, Admatechs, Advanced Chip and Circuit Materials, Advanced Semiconductor Engineering (ASE), Aeluma, AGY Holding, Ajinomoto Co., Ajinomoto Fine-Techno, AKM Meadville, Alliance Material, AMD, Asahi Kasei, AT&S, Baotek Industrial Materials, BOE Technology, Chang Chun Group, Chang Chun Petrochemical, Chemtronics, Chongqing Polycomp, Circuit Foil Luxembourg, Co-Tech Development, Coherent, Compeq Manufacturing, Corning, Daeduck Electronics, Dai Nippon Printing, Denka, Doosan Corporation, Doosan Corporation Electro-Materials, DuPont Electronics / Qnity, Elite Material, Eternal Materials, Fastprint Circuit Tech, FICT, Fujikura, Fukuda Metal Foil & Powder, Furukawa Electric, FusionAP, Goldenmax International, Grace Fabric Technology, Haesung DS, Ibiden, Intel, Isola Group, ITEQ Corporation, Itera, JCET, JCU Corporation, Jiujiang Defu Technology, JNTC, Jushi Group, JX Advanced Metals, KCC Corporation, Kingboard Laminates, Kinsus Interconnect, Kinwong Electronic, Kyocera, Lens Technology, LG Chem, LG Innotek, Lotte Energy Materials, LPKF Laser & Electronics, MacDermid Alpha, Meiko Electronics, Mitsubishi Chemical and more.....

Table of Contents

1 EXECUTIVE SUMMARY

  • 1.1 Scope and headline definitions
  • 1.2 The substrate materials stack
  • 1.3 Key findings
  • 1.4 Market size, growth and CAGR summary
  • 1.5 Headline forecasts by material class
  • 1.6 Headline forecasts by region
  • 1.7 Supply concentration at a glance
  • 1.8 The utilisation asymmetry: why material demand outgrows substrate area
  • 1.9 Strategic implications for suppliers
  • 1.10 Strategic implications for buyers

2 INTRODUCTION AND SCOPE

  • 2.1 Report objectives
  • 2.2 Product scope: the nine material classes
  • 2.3 Geographic scope: the seven regions
  • 2.4 Grade and specification definitions
    • 2.4.1 Build-up film grade families
    • 2.4.2 CCL loss-tangent classes
    • 2.4.3 Glass cloth dielectric grades and weave styles
    • 2.4.4 Copper foil profile classes
    • 2.4.5 Dry film resist resolution classes
  • 2.5 Units, conventions and abbreviations

3 THE ADVANCED IC SUBSTRATE DEMAND BASE

  • 3.1 Substrate platforms in scope
    • 3.1.1 Flip-chip BGA and build-up substrates
    • 3.1.2 Substrate-like PCB (SLP)
    • 3.1.3 Embedded die substrates
    • 3.1.4 Coreless and substrate-less architectures (CoWoP)
    • 3.1.5 Non-organic cores
  • 3.2 Substrate area as the demand unit
    • 3.2.1 Body size trends by application
    • 3.2.2 Build-up layer count trends
    • 3.2.3 Line/space roadmap and material implications
  • 3.3 Panel formats and utilisation
    • 3.3.1 Strip, panel and large-panel processing
    • 3.3.2 Panel utilisation and edge loss
    • 3.3.3 Yield assumptions by platform
  • 3.4 Substrate production capacity outlook 2025–2037
  • 3.5 Substrate manufacturer landscape
  • 3.6 Material qualification practice and cycle times

4 DEMAND DRIVERS

  • 4.1 AI accelerator and GPU shipments
  • 4.2 HBM stack height and memory substrate demand
  • 4.3 Chiplet adoption and package area growth
  • 4.4 Co-packaged optics and photonic substrates
  • 4.5 Server CPU and networking ASICs
  • 4.6 Mobile and consumer
  • 4.7 Automotive and industrial
  • 4.8 Aerospace and defence
  • 4.9 Signal integrity roadmap: 224G, 448G and material consequences
  • 4.10 Demand scenario definitions

5 FORECAST METHODOLOGY

  • 5.1 Model architecture
  • 5.2 Device shipments to substrate area
  • 5.3 Substrate area to layer area
  • 5.4 Layer area to material mass: areal density and thickness
  • 5.5 Copper thickness, plating allowance and etch loss
  • 5.6 Yield, scrap and utilisation factors
  • 5.7 Panel-format sensitivity
  • 5.8 Price modelling and ASP erosion
  • 5.9 Top-down reconciliation against supplier segment reporting

6 MATERIAL SEGMENTATION

  • 6.1 Material-to-process mapping
  • 6.2 Material-to-platform mapping
  • 6.3 Segment definitions and primary applications
  • 6.4 Cost breakdown of a representative advanced substrate

7 GLOBAL MARKET SIZE AND FORECAST 2027–2037

  • 7.1 Total market volume and value
  • 7.2 Forecast by material class
  • 7.3 Forecast by substrate platform
  • 7.4 Forecast by application
  • 7.5 Forecast by region
  • 7.6 Price forecasts and ASP trajectories
  • 7.7 Scenario analysis
    • 7.7.1 AI capex slowdown
    • 7.7.2 Accelerated glass core adoption
    • 7.7.3 Supply disruption
    • 7.7.4 Rapid Chinese localisation

8 MATERIAL-BY-MATERIAL ANALYSIS

  • 8.1 Build-up dielectric films
    • 8.1.1 Function and requirements
    • 8.1.2 ABF construction: resin, carrier and cover sheet
    • 8.1.3 GX to GL series evolution and filler loading
    • 8.1.4 Dk/Df targets for 224G and beyond
    • 8.1.5 CTE, warpage and dimensional stability
    • 8.1.6 Filler chemistry, loading and particle size
    • 8.1.7 Lamination and cure process windows
    • 8.1.8 Desmear compatibility and copper adhesion
    • 8.1.9 ABF-RCC and resin-coated variants
    • 8.1.10 Challenger films: Japan, USA, China, Korea
    • 8.1.11 Qualification barriers and switching costs
    • 8.1.12 Capacity, expansion and lead times
    • 8.1.13 Single-source dependency quantified
    • 8.1.14 Demand forecast 2027–2037
  • 8.2 Copper-clad laminate and prepreg
    • 8.2.1 Construction and grades
    • 8.2.2 BT resin systems
    • 8.2.3 Epoxy and modified epoxy
    • 8.2.4 Low-loss and ultra-low-loss systems
    • 8.2.5 Halogen-free reformulation
    • 8.2.6 Thin-core and coreless processing
    • 8.2.7 Supplier landscape and capacity
    • 8.2.8 Demand forecast 2027–2037
  • 8.3 Glass cloth reinforcement
    • 8.3.1 Styles and weave constructions
    • 8.3.2 Low-Dk and low-Df compositions
    • 8.3.3 Low-CTE and high-modulus: T-glass
    • 8.3.4 Ultra-thin and spread-yarn fabrics
    • 8.3.5 The low-Dk and low-CTE bottleneck quantified
    • 8.3.6 Chinese localisation programmes
    • 8.3.7 Demand forecast 2027–2037 by grade
  • 8.4 Fillers
    • 8.4.1 Silica, alumina and specialty fillers
    • 8.4.2 Particle size distribution and surface treatment
    • 8.4.3 Supplier landscape
    • 8.4.4 Demand forecast 2027–2037
  • 8.5 Copper foil
    • 8.5.1 Electrodeposited versus rolled annealed
    • 8.5.2 Low-profile, VLP and HVLP grades
    • 8.5.3 Carrier foil constructions and release layer chemistry
    • 8.5.4 Roughness versus insertion loss trade-off
    • 8.5.5 Capacity competition with battery copper foil
    • 8.5.6 Copper price exposure and pass-through
    • 8.5.7 Demand forecast 2027–2037
  • 8.6 Dry film photoresist
    • 8.6.1 Resolution requirements by line/space node
    • 8.6.2 Supplier landscape
    • 8.6.3 Demand forecast 2027–2037
  • 8.7 Solder resist
    • 8.7.1 Formulation and requirements
    • 8.7.2 Supplier landscape
    • 8.7.3 Demand forecast 2027–2037
  • 8.8 Plating and desmear chemistries
    • 8.8.1 Desmear and permanganate systems
    • 8.8.2 Electroless copper
    • 8.8.3 Electrolytic copper, additives and levellers
    • 8.8.4 Via fill and through-glass-via metallisation
    • 8.8.5 Overlap with fab wet chemistry supply
    • 8.8.6 Demand forecast 2027–2037
  • 8.9 Surface finish chemistries
    • 8.9.1 ENIG, ENEPIG, OSP and alternatives
    • 8.9.2 Gold and palladium consumption
    • 8.9.3 Demand forecast 2027–2037
  • 8.10 Cross-material summary

9 NON-ORGANIC AND HYBRID CORES

  • 9.1 Glass core substrates
  • 9.2 Silicon core substrates
  • 9.3 Ceramic and glass-ceramic cores
  • 9.4 Material implications of the core transition
  • 9.5 Substitution scenarios and effect on organic material demand

10 REGIONAL ANALYSIS

  • 10.1 China
  • 10.2 Japan
  • 10.3 Korea
  • 10.4 Taiwan
  • 10.5 USA
  • 10.6 Europe
  • 10.7 Southeast Asia
  • 10.8 Cross-regional summary and trade balance

11 SUPPLY CHAIN, CONCENTRATION AND RISK

  • 11.1 Value chain mapped
  • 11.2 Concentration analysis by material class
  • 11.3 Single-source and dual-source exposure quantified
  • 11.4 Chip designers and OEMs contracting upstream
  • 11.5 Export controls, trade measures and tariff exposure
  • 11.6 Upstream raw material inputs
  • 11.7 Disruption scenarios and cost-of-disruption modelling
  • 11.8 Inventory, allocation and lead-time behaviour

12 COMPETITIVE AND SUPPLIER LANDSCAPE

  • 12.1 Supplier landscape overview
  • 12.2 Multi-material majors
  • 12.3 Regional champions
  • 12.4 Share positions by material and region
  • 12.5 Capacity investment tracker
  • 12.6 Partnerships, JVs and acquisitions
  • 12.7 New entrant assessment

13 SUSTAINABILITY AND REGULATORY

  • 13.1 PFAS exposure in substrate materials
  • 13.2 Halogen-free, RoHS and REACH compliance
  • 13.3 Copper and precious metal recovery
  • 13.4 Embodied carbon in substrate manufacture
  • 13.5 Regulatory outlook

14 COMPANY PROFILES

  • 14.1 Build-up dielectric film (12 company profiles)
  • 14.2 Copper-clad laminate and prepreg (17 company profiles)
  • 14.3 Glass cloth and glass yarn (7 company profiles)
  • 14.4 Fillers (4 company profiles)
  • 14.5 Copper foil (15 company profiles)
  • 14.6 Dry film and solder resist (7 company profiles)
  • 14.7 Plating, desmear and surface finish chemistry (11 company profiles)
  • 14.8 Substrate manufacturers (26 company profiles)
  • 14.9 Glass core substrates and other companies (34 company profiles)

15 APPENDICES

  • 15.1 Glossary and abbreviations
  • 15.2 Material specification reference tables
  • 15.3 Conversion factors and areal density assumptions
  • 15.4 Substrate manufacturer capacity table
  • 15.5 Research methodology

16 REFERENCES

List of Tables

  • Table 1. Headline market summary: volume, value and CAGR by material class
  • Table 2. Material demand 2027–2037, tonnes and m²
  • Table 3. Material demand by region 2027–2037
  • Table 4. Concentration summary by material class
  • Table 5. Indexed growth, 2027 = 100
  • Table 6. Material class definitions, forecast units and scope boundaries
  • Table 7. Region definitions and demand allocation rules
  • Table 8. Build-up film grade families and property bands
  • Table 9. CCL grade classes by loss tangent
  • Table 10. Glass cloth grades and IPC-4412 style classification
  • Table 11. Glass composition classes
  • Table 12. Copper foil profile classes and applications
  • Table 13. Dry film resist resolution classes
  • Table 14. Substrate platform definitions and material implications
  • Table 15. AI accelerator package and substrate dimensions
  • Table 16. Body size and layer count by application
  • Table 17. Build-up layer count series by application, layers per side
  • Table 18. Line/space roadmap and material requirement consequences
  • Table 19. Line/space capability and via formation by process generation
  • Table 20. Panel formats and utilisation factors by body size class
  • Table 21. Substrate area and panel consumption at representative body sizes
  • Table 22. Compound stack yield by per-layer yield and layer count (core yield 98%)
  • Table 23. Line yield assumptions by platform, layer count and process generation
  • Table 24. Scrap recovery by material class
  • Table 25. Announced substrate capacity investment programmes
  • Table 26. Substrate capacity by region
  • Table 27. Announced substrate capex programmes
  • Table 28. Aggregate investment by tier
  • Table 29. Qualification cycle durations by material class
  • Table 30. Derivation of accelerator units from packaging wafer supply
  • Table 31. AI accelerator shipments and substrate area consumption
  • Table 32. Accelerator shipments by product class
  • Table 33. HBM contribution to package area
  • Table 34. HBM generation and interconnect requirements
  • Table 35. HBM generation, stack construction and package consequence
  • Table 36. Substrate area consequences of chiplet partitioning
  • Table 37. Package area and material consequence by partitioning approach
  • Table 38. Co-packaged optics substrate requirements against organic capability
  • Table 39. Server CPU and networking ASIC substrate parameters
  • Table 40. Substrate area by application, 2027 and 2037
  • Table 41. Dielectric attenuation at PAM4 Nyquist frequencies, dB per inch
  • Table 42. Material grade requirements by per-lane data rate
  • Table 43. Scenario definitions, varied inputs and quantified effect
  • Table 44. Conversion chain, stage by stage
  • Table 45. Substrates per device by application
  • Table 46. Layer multipliers by material class, for a substrate with n build-up layers per side
  • Table 47. Areal density and thickness assumptions by material class and grade
  • Table 48. Plating allowance and etch loss by line/space class
  • Table 49.Worked copper accounting, 120 × 120 mm substrate, 16 build-up layers per side
  • Table 50. Copper accounting, 120 × 120 mm substrate, 16 build-up layers per side
  • Table 51. Combined yield, scrap and utilisation factors
  • Table 52. Supporting detail: compound stack yield by per-layer yield and layer count, core yield 98%
  • Table 53. Supporting detail: scrap recovery by material class
  • Table 54. Panel utilisation by format and body size
  • Table 55. Utilisation statistics by band and format
  • Table 56. Purchased area penalty at representative body sizes, 510 × 515 mm panel
  • Table 57. Price series requirements and pass-through mechanics by material class
  • Table 58. Material-to-process mapping matrix
  • Table 59. Consumption basis and scaling by process step
  • Table 60. Consumption basis by process step
  • Table 61. Material-to-platform mapping matrix
  • Table 62. Relative material consumption index by platform, flip-chip BGA base case = 100
  • Table 63. Material class segmentation and demand anchors
  • Table 64. Primary applications by material grade
  • Table 65. Material composition per substrate, consumed basis
  • Table 66. Substrate cost breakdown by material class
  • Table 67. Total material volume 2027–2037
  • Table 68. Total material value 2027–2037
  • Table 69. Total material value 2027–2037, US$ million
  • Table 70. Volume forecast by material class
  • Table 71. Value forecast by material class
  • Table 72. Forecast by substrate platform
  • Table 73. Forecast by application
  • Table 74. Forecast by region
  • Table 75. ASP trajectories by material class
  • Table 76. Scenario comparison against base case
  • Table 77. Supplied construction and material accounting
  • Table 78. ABF grade properties: Dk, Df, CTE, Tg, filler loading
  • Table 79. Dielectric property targets by data rate
  • Table 80. Filler requirements by film class and line/space capability
  • Table 81. Process parameters and constraints
  • Table 82. Resin-coated copper construction
  • Table 83. Build-up film challengers: company, product, qualification status
  • Table 84. Qualification stages and duration
  • Table 85. Build-up film capacity by supplier and site
  • Table 86. Build-up film single-source exposure
  • Table 87. Core construction parameters
  • Table 88. Low-loss CCL grades by supplier
  • Table 89. CCL supplier capacity by region
  • Table 90. CCL and prepreg demand forecast
  • Table 91. Ultra low loss segment within the class, US$ million
  • Table 92. Glass cloth areal mass and thickness by style
  • Table 93. Low-Dk and low-Df glass compositions by supplier
  • Table 94. Low-CTE glass grades and target applications
  • Table 95. Ultra-thin cloth specifications
  • Table 96. Glass cloth supplier capacity by grade
  • Table 97. Constrained grade supply assessment
  • Table 98. Glass cloth demand forecast by grade
  • Table 99. Filler types, particle size and loading by application
  • Table 100. Filler supplier landscape and capacity
  • Table 101. Filler demand forecast
  • Table 102. Copper foil thickness ranges and profile classes by application
  • Table 103. Carrier foil constructions and release layer types
  • Table 104. Copper skin depth and roughness ratio by frequency
  • Table 105. Copper foil capacity allocation, substrate versus battery
  • Table 106. Copper foil demand forecast, tonnes
  • Table 107. Resist resolution capability by supplier
  • Table 108. Dry film resist demand forecast
  • Table 109. Solder resist demand forecast
  • Table 110. Chemistry consumption per panel by process step
  • Table 111. Plating chemistry supplier landscape
  • Table 112. Plating chemistry demand forecast
  • Table 113. Surface finish types: process, thickness, precious metal content
  • Table 114. Gold and palladium consumption forecast
  • Table 115. Cross-material summary: volume, value, CAGR, concentration
  • Table 116. Quadrant assessment
  • Table 117. Aggregate versus constrained-grade divergence
  • Table 118. Mass and value ranking compared
  • Table 119. Glass core position summary
  • Table 120.Silicon core assessment
  • Table 121. Ceramic core assessment
  • Table 122. Material displacement per m² of non-organic core
  • Table 123.Non-organic core substitution scenarios
  • Table 124. Displacement by material class under accelerated adoption, 2037
  • Table 125. China position summary
  • Table 126. Japan position summary
  • Table 127. Korea position summary
  • Table 128. Taiwan position summary
  • Table 129. USA position summary
  • Table 130. Europe position summary
  • Table 131. Southeast Asia position summary
  • Table 132. Regional demand by material class 2027–2037, US$ million (2037)
  • Table 133. Production capacity versus demand balance by region
  • Table 134. Value chain tiers and participant counts
  • Table 135. Concentration ratios (CR3, CR5, HHI) by material class
  • Table 136. Single-source exposure by material class
  • Table 137. Direct material agreements between OEMs and material suppliers
  • Table 138. Export controls, trade measures and tariff exposure
  • Table 139. Upstream input assessment
  • Table 140. Lead times by material class
  • Table 141. Supplier landscape structure
  • Table 142. Multi-material supplier positions by class
  • Table 143. Regional champion positions
  • Table 144. Supplier share positions by material class and region, constrained grade
  • Table 145. Capacity investment tracker 2024–2030
  • Table 146. Investment ratio, substrate manufacture versus substrate materials
  • Table 147. Partnerships, JVs and acquisitions 2024–2026
  • Table 148. New entrant assessment matrix
  • Table 149. PFAS exposure by material class
  • Table 150.Regulatory instrument coverage
  • Table 151. Recovery rates by material stream
  • Table 152. Embodied carbon by material class
  • Table 153. Regulatory trajectory and material implications
  • Table 154. Glossary and abbreviations
  • Table 155. Consolidated material specification reference
  • Table 156. Consolidated conversion factors
  • Table 157. Substrate manufacturer capacity, full detail
  • Table 158. Regional capacity share

List of Figures

  • Figure 1. The advanced IC substrate materials stack, exploded cross-section Source: Future Markets.
  • Figure 2. Material classes mapped to substrate cross-section Source: Future Markets.
  • Figure 3. Market value by material class 2027–2037 Source: Future Markets.
  • Figure 4. Market value by region 2027–2037 Source: Future Markets.
  • Figure 5. Concentration heat map Source: Future Markets.
  • Figure 6. Material demand growth versus substrate area growth, indexed Source: Future Markets.
  • Figure 7. Substrate platform cross-sections compared
  • Figure 8. Body size growth by application
  • Figure 9. Layer count growth by application
  • Figure 10. Line/space class adoption timeline, 2024–2037
  • Figure 11. Panel utilisation versus body size
  • Figure 12. Compound stack yield as a function of build-up layer count and per-layer yield
  • Figure 13. Substrate capacity share by region
  • Figure 14. Material qualification cycle, illustrative timeline
  • Figure 15. AI accelerator shipments and substrate area
  • Figure 16. HBM stack height evolution
  • Figure 17. Package area growth attributable to chiplet adoption
  • Figure 18. Dielectric attenuation versus frequency by laminate loss class
  • Figure 19. Five-stage forecast model schematic
  • Figure 20. Layer multiplier logic by material class
  • Figure 21. Build-up film composite density versus silica filler loading
  • Figure 22. Copper mass: deposited, etched and retained
  • Figure 23. Panel format sensitivity, tornado chart
  • Figure 24. Substrate process flow with material consumption points
  • Figure 25. Material mass breakdown for the reference substrate
  • Figure 26. Substrate cost breakdown, representative AI accelerator substrate
  • Figure 27. Total material volume, stacked by class
  • Figure 28. Total material value, stacked by class
  • Figure 29. Volume CAGR by material class
  • Figure 30. Regional demand shares, 2027 versus 2037
  • Figure 31. ASP trajectories indexed to 2027
  • Figure 32. Scenario fan chart, total market value
  • Figure 33. ABF cross-section construction
  • Figure 34. GX to GL series: filler loading, CTE and Dk trends
  • Figure 35. Vacuum lamination process flow
  • Figure 36. Melt viscosity versus temperature
  • Figure 37. ABF-RCC construction and process flow
  • Figure 38. Challenger qualification status timeline
  • Figure 39. Build-up film demand 2027–2037
  • Figure 40. CCL construction cross-section
  • Figure 41. Loss tangent by resin system
  • Figure 42. CCL demand 2027–2037
  • Figure 43. Weave constructions compared Source: Future Markets.
  • Figure 44. Areal mass versus thickness by style Source: Future Markets.
  • Figure 45. Dk versus glass composition Source: Future Markets.
  • Figure 46. Spread-yarn processing schematic Source: Future Markets.
  • Figure 47. Glass cloth demand by grade 2027–2037 Source: Future Markets.
  • Figure 48. Filler particle size distributions by grade Source: Future Markets.
  • Figure 49. Filler demand 2027–2037 Source: Future Markets.
  • Figure 50. Profile classes: surface roughness compared Source: Future Markets.
  • Figure 51. Carrier foil construction and release Source: Future Markets.
  • Figure 52. Roughness versus insertion loss Source: Future Markets.
  • Figure 53. Capacity allocation by supplier Source: Future Markets.
  • Figure 54. Copper foil demand 2027–2037 Source: Future Markets.
  • Figure 55. Resolution capability versus line/space requirement Source: Future Markets.
  • Figure 56. Plating process flow and chemistry consumption points Source: Future Markets.
  • Figure 57. Plating chemistry demand 2027–2037 Source: Future Markets.
  • Figure 58. Surface finish cross-sections compared
  • Figure 59. Precious metal consumption 2027–2037 Source: Future Markets.
  • Figure 60. Cross-material growth and concentration Source: Future Markets.
  • Figure 61. Multilayer ceramic core substrate for advanced semiconductor packaging
  • Figure 62. 2.5D integration warpage comparison and simulation model
  • Figure 63. Organic material displacement under three adoption scenarios Source: Future Markets.
  • Figure 64. Displacement by material class under accelerated adoption Source: Future Markets.
  • Figure 65. Regional demand by material class
  • Figure 66. Production versus demand balance
  • Figure 67. Value chain map, tier by tier
  • Figure 68. Concentration ratios by material class
  • Figure 69. Single-source exposure map
  • Figure 70. Export control exposure by value chain node Source: Future Markets.
  • Figure 71. Disruption scenario impact Source: Future Markets.
  • Figure 72. Capacity investment by region and material class Source: Future Markets.
  • Figure 73. PFAS exposure across the materials stack Source: Future Markets.
  • Figure 74. Absolics' glass substrate
  • Figure 75. Glass substrate test units at Intel’s Assembly and Test Technology Development factory.
  • Figure 76. JNTC Next-Generation Glass Substrate for Semiconductors.