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2080136

全球矽光電、LPO/LRO 和 NPO/CPO 市場（2027-2037 年）

Silicon Photonics, LPO/LRO and NPO/CPO: Global Market 2027-2037
出版日期: | 出版商: Future Markets, Inc. | 英文 487 Pages, 218 Tables, 41 Figures | 訂單完成後即時交付

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矽光電是一種直接在矽晶片上建構光學功能（例如光生成、調製、路由和檢測）的技術，它使用與傳統電子設備相同的製造基礎設施。在很長一段時間裡，人們都認為這項技術能夠提高效率，也就是以比銅線更快的速度、更低的功耗傳輸資料。然而，到2026年，這種理解將不再符合市場實際情況。人工智慧和高效能運算需要在晶片、伺服器和機架之間以驚人的速度傳輸海量數據，但目前的加速器架構已經達到了銅互連的物理極限。因此，互連瓶頸問題日益突出，昂貴且耗電的加速器只能閒置，僅等待數據而無法執行計算。矽光電為這一行業提供了一種結構性解決方案，它使用光子而非電子來傳遞訊息。這是因為光子比電子速度更快，訊號損耗更小，並且每個通道可以承載更多資訊。光收發器仍然是該行業的主要應用之一。數據傳輸速度每隔幾年就會翻倍——100G、200G、400G、800G——預計Terabit收發器將於2026年實現商業化，3.2T樣品計劃於2027年左右推出，而6.4T預計將在2030年代初問世。隨著傳輸速度的提升，即使是光引擎與交換器或加速器ASIC之間的短銅線連接也會成為效能瓶頸。因此，共封裝光元件（CPO）和近封裝光元件（NPO）－將光引擎封裝在ASIC基板上的技術－以及線性驅動可插拔光元件和接收光元件（LPO/LRO）（可從連結中移除功耗較高的DSP）一直是過去十年封裝領域的核心研究方向。

整個市場都受到一個根本性的限制：矽的間接帶隙特性使得製造實用的純矽雷射成為不可能。這項限制催生了互補材料平台，例如 III-V 族材料、鈮酸鋰、氮化矽、聚合物和等離子體材料，以及異質整合技術生態系統。除了資料通訊通訊領域，光子量子運算正日趨成熟，成為可靠的商業領域。憑藉其室溫運作能力和與 CMOS晶圓代工廠的兼容性，預計到 2025 年，它將吸引約 21 億美元的私人資本，超過超導性系統。此外，通訊、FMCW 雷射雷達和感測以及生物醫學領域也湧現出對光子量子計算的需求。

「全球矽光電、LPO/LRO 和 NPO/CPO 市場（2027-2037）」報告對 2027 年至 2037 年預測期間的矽光電和光子積體電路 (PIC) 產業進行了全面的市場和技術評估。該領域目前正處於轉型期。隨著銅線佈線的限制日益凸顯，以及人工智慧基礎設施對頻寬的需求空前高漲，矽光電的角色正從單純的效率提升轉變為下一代資料傳輸的結構基礎。本報告重點關注兩大需求促進因素——人工智慧主導的資料通訊和新近商業化的光子量子領域——並定量分析了向共封裝光學元件 (CPO)、近封裝光學元件 (NPO) 以及線性驅動可插拔光學元件和接收光學元件 (LPO/LRO) 的過渡。

本分析結合了詳盡的技術說明和針對各個細分市場的精準預測。除了資料通訊之外，報告還涵蓋了競爭與互補平台、「銅牆效應」和前沿產能密度危機、製造挑戰和產能向東南亞轉移、不同的CPO生態系統（NVIDIA與博通）以及台積電的COUPE平台，以及涵蓋通訊、人工智慧和計算、量子計算、雷射雷達和感測、生物醫學、測量設備、防光電和微波等市場。報告包含生態系統市場地圖、區域分析以及160家公司的詳細公司簡介，使其成為投資者、晶片和系統供應商、超大規模資料中心業者、晶圓代工廠和組件供應商在互連轉型過程中進行決策的寶貴資源。

要點如下：

  • 2027-2037 年 CPO 和廣泛市場規模及預測（包括基準情境/樂觀情境/悲觀情境、出貨量和複合年成長率）
  • 矽光電技術基礎說明：光子積體電路、光輸入/輸出與耦合器、雷射與光源、檢測器、III-V族系統整合、調變器與馬赫-曾德爾干涉儀、波導管及光元件密度
  • 收發器演進藍圖（100G → 1.6T → 3.2T → 6.4T）：外型尺寸、製程節點、功耗和每Gbps成本
  • CPO、NPO 和 LPO/LRO 架構；橫向擴展與縱向擴展；NVIDIA 和 Broadcom 生態系統；台積電 Coupe 封裝
  • 競爭/互補平台：III-V族體系、鈮酸鋰、氮化矽、聚合物、光電、等離子激元學
  • 結構性主題：銅牆鐵壁與海濱密度危機、光子人工智慧加速發展、製造地向東南亞轉移。
  • 應用領域：資料通訊、電訊、人工智慧與運算、量子技術、雷射雷達與感測、生物醫學、測量與計量、國防與航太、能源與工業、消費性電子、微波光電
  • 製造、包裝、組裝、產量和供應鏈的挑戰
  • 區域分析（北美、亞太、歐洲及其他地區）及研究機構
  • 涵蓋整個價值鏈的160家公司的生態系統市場地圖和概況——Accelink Technologies、Aeva Technologies、AEPONYX、Advantest、AIM Photonics、AIO Core、阿里雲、亞馬遜（AWS）、ANSYS、Advanced Micro Foundry（AMF）、Amkor Technology、AMO GmbH、Analog Photonics、A Holdingsgram、Apora、Anagram、Apora、Analog Photonics、Abars、AporaA、Ana​​U能力、A裝Innovation、Avicena、Axalume、Ayar Labs、百度、Bay Photonics、BE Epitaxy Semiconductor、Broadcom、Black Semiconductor、Broadex Technologies、CamGraPhIC、CEA-Leti、Centera Photonics、Cambridge Industries Group（CIG）、思科、Coherent、Vred Technology、Creafek Technology、Creak Technology、Coherents、Cred Technology、Creafek Technology、C. Group、Cyber​​Ridge、DenseLight、EFFECT Photonics、Eoptolink、Ephos、Fabricnet、Fast Photonics、深圳輝柏嘉科技、ficonTEC、FOCI（光纖通訊公司）。 FormFactor、富士通、Genalyte、Gigalight、GlobalFoundries、廣州康森半導體、HGGenuine、海信寬頻多媒體技術、HyperLight、HyperPhotonix、ICON Photonics、英特爾、imec、Infleqtion、iPronics、江電科技集團、Ki3 Photonics 等。

目錄

第1章：目的和範圍

第2章摘要整理

第3章：矽光電學導論

  • 什麼是矽光電？
  • 矽光電的優勢
  • 矽光電的應用
  • 與其他光子整合技術的比較
  • 從電子整合到光整合的演變
  • 矽光電與傳統電子學的比較
  • 最先進的高效能人工智慧資料中心
  • 核心技術組件
  • 基本光資料傳輸

第4章 材料和部件

  • 矽
  • 鎗
  • 氮化矽
  • 薄膜鈮酸鋰（TFLN）
  • 磷化銦
  • 鈦酸鋇和稀土元素
  • 矽基有機聚合物
  • 晶圓加工
  • 混合和異構整合

第5章：先進封裝技術

  • 包裝技術的演變
  • 2.5D整合技術
  • 3D整合方法
  • 整合光學元件（CPO）
  • 光學對準
  • 製造挑戰

第6章 人工智慧光連接模組架構：外掛程式、LPO/LRO、NPO、CPO

  • 大規模語言模式（LLM）的興起與挑戰
  • 向上擴展、向外擴展和跨網路擴展
  • 高階資料中心運算交換器互連（光I/O）面臨的挑戰
  • 高階資料中心的未來人工智慧系統

第7章：共封裝光學元件（CPO）

  • 光子積體電路（PIC）的關鍵概念
  • 光學引擎（OE）
  • 共封裝光學元件 (CPO) 的三個關鍵概念
  • CPO標準

第8章：複合封裝光學儀器市場分析

  • 鮮榨棕櫚油市場的定義與範圍
  • 棕櫚油市場規模及成長預測
  • 交換器 CPO 市場分析
  • XPU 光 I/O 市場分析
  • 棕櫚油定價和成本分析
  • 區域市場動態
  • 整體潛在市場分析
  • 按組件分類的市場預測
  • 按技術世代分類的市場預測
  • 市場限制和壁壘
  • 採用曲線分析
  • 影響阻礙因素的因素
  • 競爭格局的演變
  • 情境分析

第9章：全球市場規模及預測（2027-2037 年）

  • 2027-2037年主要市場模型
  • 按應用領域分類的市場區隔（2027-2037 年）
  • 按互連架構分類的市場區隔（2027-2037 年）
  • 模組和PIC晶片 2027-2037
  • 量子光子積體電路市場

第10章：供應鏈、技術趨勢與未來挑戰

  • 供應鏈分析
  • 科技趨勢
  • 挑戰與未來趨勢

第11章：公司簡介（160家公司簡介）

第12章參考文獻

Product Code: ND28

Silicon photonics builds optical functions - the generation, modulation, routing, and detection of light - directly onto silicon chips using the same fabrication infrastructure that produces conventional electronics. For most of its history the technology was understood as an efficiency improvement: a way to move data faster and with less power than copper allows. By 2026 that framing no longer captures the market. Artificial intelligence and high-performance computing require enormous volumes of data to move at tremendous speed between chips, servers, and racks, and current accelerator architectures have pushed copper interconnect to its physical limits. The result is an interconnect bottleneck, in which expensive, power-hungry accelerators sit idle waiting for data rather than computing. Silicon photonics has become the industry's structural answer, moving information in photons rather than electrons - photons travel faster, lose far less signal over distance, and carry more information per channel. Optical transceivers remain the application that drives the industry. Data rates have doubled every few years - 100G, 200G, 400G, 800G - and 2026 saw the commercialisation of 1.6-terabit transceivers, with 3.2T expected to sample around 2027 and 6.4T following in the early 2030s. As rates climb, even the short copper trace between an optical engine and the switch or accelerator ASIC limits performance, which is why co-packaged optics (CPO) and near-package optics (NPO) - moving the optical engine onto the ASIC substrate - have become the central packaging story of the decade, alongside linear-drive pluggable and receive optics (LPO/LRO) that strip power-hungry DSP from the link.

A fundamental constraint shapes the whole market: silicon's indirect bandgap means a practical pure-silicon laser cannot be built, which has spawned an ecosystem of complementary material platforms - III-V, lithium niobate, silicon nitride, polymer, plasmonic - and heterogeneous-integration techniques. Beyond datacom, photonic quantum computing has matured into a credible commercial segment, attracting roughly US$2.1 billion in private capital in 2025 and overtaking superconducting systems, thanks to room-temperature operation and CMOS-foundry compatibility. Further demand comes from telecommunications, FMCW LiDAR and sensing, and biomedical uses.

Silicon Photonics, LPO/LRO and NPO/CPO: Global Market 2027-2037 is a comprehensive market and technology assessment of the silicon-photonics and photonic-integrated-circuit (PIC) industry across the 2027–2037 forecast period. It arrives at an inflection point: with copper interconnect exhausted and AI infrastructure demanding unprecedented bandwidth, silicon photonics has shifted from an efficiency improvement to the structural foundation of next-generation data movement. The report frames the market around its two demand engines - AI-driven data communications and the newly commercial photonic-quantum segment - and quantifies the transition to co-packaged optics (CPO), near-package optics (NPO), and linear-drive pluggable and receive optics (LPO/LRO).

The analysis pairs detailed technology explanation with granular, segmented forecasts. Beyond datacom, the report covers competing and complementary platforms, the "copper wall" and beachfront-density crisis, manufacturing challenges and the capacity shift to Southeast Asia, divergent CPO ecosystems (NVIDIA vs. Broadcom) and the TSMC COUPE platform, and application markets spanning telecommunications, AI and computing, quantum, LiDAR and sensing, biomedical, instrumentation, defence, and microwave photonics. It includes an ecosystem market map, regional analysis, and 160 detailed company profiles, making it a decision-grade reference for investors, chip and system vendors, hyperscalers, foundries, and component suppliers navigating the interconnect transition.

Content covered includes:

  • Market sizing and 2027–2037 forecasts on both CPO and broad-market bases, with base/bull/bear scenarios, unit shipments, and CAGRs
  • Silicon-photonics technology primer: PICs, optical I/O and couplers, lasers and photon sources, photodetectors, III-V integration, modulators and Mach-Zehnder interferometers, waveguides, and optical-component density
  • Transceiver evolution roadmap (100G → 1.6T → 3.2T → 6.4T): form factors, process nodes, power, and cost-per-Gbps
  • CPO, NPO, and LPO/LRO architectures; scale-out vs. scale-up; NVIDIA and Broadcom ecosystems; TSMC COUPE packaging
  • Competing/complementary platforms: III-V, lithium niobate, silicon nitride, polymer, metaphotonics, and plasmonics
  • Structural themes: the copper wall and beachfront-density crisis, photonic AI acceleration, and the manufacturing shift to Southeast Asia
  • Application segments: data communications, telecommunications, AI & computing, quantum, LiDAR & sensing, biomedical, instrumentation & metrology, defence & aerospace, energy & industrial, consumer, and microwave photonics
  • Manufacturing, packaging, coupling, yield, and supply-chain challenges
  • Regional analysis (North America, Asia-Pacific, Europe, RoW) and research institutes
  • Ecosystem market map and 160 company profiles across the value chain including Accelink Technologies, Aeva Technologies, AEPONYX, Advantest, AIM Photonics, AIO Core, Alibaba Cloud, Amazon (AWS), ANSYS, Advanced Micro Foundry (AMF), Amkor Technology, AMO GmbH, Analog Photonics, Anello Photonics, Aryballe, ASE Technology Holdings, Aurora Innovation, Avicena, Axalume, Ayar Labs, Baidu, Bay Photonics, BE Epitaxy Semiconductor, Broadcom, Black Semiconductor, Broadex Technologies, CamGraPhIC, CEA-Leti, Centera Photonics, Cambridge Industries Group (CIG), Cisco, Coherent, CompoundTek, Crealights Technology, Credo Technology Group, CyberRidge, DenseLight, EFFECT Photonics, Eoptolink, Ephos, Fabrinet, Fast Photonics, Shenzhen Fibertop Technology, ficonTEC, FOCI (Fiber Optical Communication Inc.), FormFactor, Fujitsu, Genalyte, Gigalight, GlobalFoundries, Guangzhou CanSemi Technology, HGGenuine, Hisense Broadband Multimedia Technologies, HyperLight, HyperPhotonix, ICON Photonics, Intel, imec, Infleqtion, iPronics, JCET Group, Ki3 Photonics and more.....

Table of Contents

1 PURPOSE AND SCOPE

2 EXECUTIVE SUMMARY

  • 2.1 Market Overview
  • 2.2 Electronic and Photonic Integration Compared
  • 2.3 Silicon Photonic Transceiver Evolution
  • 2.4 Market Map
  • 2.5 Global Market Trends in Silicon Photonics
  • 2.6 Competing and Complementary Photonics Technologies
    • 2.6.1 Metaphotonics
    • 2.6.2 III-V Photonics
    • 2.6.3 Lithium Niobate Photonics
    • 2.6.4 Polymer Photonics
    • 2.6.5 Plasmonic Photonics
  • 2.7 Potential of Photonic AI Acceleration
  • 2.8 The Copper Wall and the Beachfront-Density Crisis
  • 2.9 Manufacturing Capacity Shifts to Southeast Asia
  • 2.10 Commercial deployment of silicon photonics
  • 2.11 Co-Packaged Optics
    • 2.11.1 Divergent CPO Ecosystems: NVIDIA and Broadcom
    • 2.11.2 The TSMC COUPE Packaging Platform
  • 2.12 Manufacturing challenges
  • 2.13 The Market Opportunity
  • 2.14 Regional Strengths & Research Focus

3 INTRODUCTION TO SILICON PHOTONICS

  • 3.1 What is Silicon Photonics?
    • 3.1.1 Definition and Principles of Silicon Photonics
    • 3.1.2 Comparison with traditional technologies
    • 3.1.3 Silicon and Photonic Integrated Circuits
    • 3.1.4 Optical IO, Coupling and Couplers
    • 3.1.5 Emission and Photon Sources/Lasers
    • 3.1.6 Detection and Photodetectors
    • 3.1.7 Compound Semiconductor Lasers and Photodetectors (III-V)
    • 3.1.8 Modulation, Modulators, and Mach-Zehnder Interferometers
      • 3.1.8.1 New modulator technologies
    • 3.1.9 Light Propagation and Waveguides
    • 3.1.10 Optical Component Density
  • 3.2 Advantages of Silicon Photonics
  • 3.3 Applications of Silicon Photonics
  • 3.4 Comparison with Other Photonic Integration Technologies
  • 3.5 Evolution from Electronic to Photonic Integration
  • 3.6 Silicon Photonics vs Traditional Electronics
  • 3.7 Modern high-performance AI data centers
  • 3.8 Core Technology Components
    • 3.8.1 Optical IO, Coupling and Couplers
    • 3.8.2 Emission and Photon Sources/Lasers
      • 3.8.2.1 III-V Integration Challenges
      • 3.8.2.2 Laser Integration Approaches
    • 3.8.3 Detection and Photodetectors
    • 3.8.4 Modulation Technologies
      • 3.8.4.1 Mach-Zehnder Interferometers
      • 3.8.4.2 Ring Modulators
      • 3.8.4.3 Micro-Ring Modulators as a Competitive Differentiator
    • 3.8.5 Light Propagation and Waveguides
    • 3.8.6 Optical Component Density
  • 3.9 Basic Optical Data Transmission

4 MATERIALS AND COMPONENTS

  • 4.1 Silicon
    • 4.1.1 Silicon as a Photonic Material
      • 4.1.1.1 Optical Properties of Silicon
      • 4.1.1.2 Fabrication Processes for Silicon Photonics
    • 4.1.2 Silicon-on-insulator (SOI)
      • 4.1.2.1 SOI Manufacturing Process
      • 4.1.2.2 Key SOI Players
  • 4.2 Germanium
    • 4.2.1 Germanium Integration in Silicon Photonics
    • 4.2.2 Germanium Photodetectors
    • 4.2.3 Germanium-on-Silicon Modulators
  • 4.3 Silicon Nitride
    • 4.3.1 Silicon Nitride (SiN) in Photonics Integrated Circuits
    • 4.3.2 Optical Properties and Fabrication of SiN
    • 4.3.3 SiN Modulator Technologies
    • 4.3.4 SiN Applications in Photonics Integrated Circuits
    • 4.3.5 Advances in SiN Modulator Technologies
    • 4.3.6 SiN-based Waveguides and Devices
    • 4.3.7 SiN Performance Analysis
    • 4.3.8 Applications of SiN in Photonics
    • 4.3.9 SiN PIC Players
    • 4.3.10 SiN Key Foundries
  • 4.4 Thin Film Lithium Niobate (TFLN)
    • 4.4.1 Overview
    • 4.4.2 Lithium Niobate on Insulator (LNOI)
      • 4.4.2.1 Overview of LNOI Technology
      • 4.4.2.2 Characteristics and Properties of LNOI
      • 4.4.2.3 LNOI Fabrication Processes
      • 4.4.2.4 LNOI-based Modulator and Switch Technologies
      • 4.4.2.5 Trends Toward Higher Speed and Improved Power Efficiency
      • 4.4.2.6 High-Speed LNOI Modulators
        • 4.4.2.6.1 Energy-Efficient LNOI Devices
        • 4.4.2.6.2 Emerging LNOI Device Technologies
  • 4.5 Indium Phosphide
    • 4.5.1 Indium Phosphide (InP) Integration
      • 4.5.1.1 InP as a Direct Bandgap Semiconductor
      • 4.5.1.2 InP-based Active Components
      • 4.5.1.3 Hybrid Integration of InP with Silicon Photonics
    • 4.5.2 InP PIC Players
  • 4.6 Barium Titanite and Rare Earth metals
    • 4.6.1 Barium Titanate (BTO) Modulators
  • 4.7 Organic Polymer on Silicon
    • 4.7.1 Polymer-based Modulators
  • 4.8 Wafer Processing
    • 4.8.1 Wafer Sizes by Platform
    • 4.8.2 Processing Challenges
    • 4.8.3 Yield Management
  • 4.9 Hybrid and Heterogeneous Integration
    • 4.9.1 Monolithic Integration
    • 4.9.2 Hybrid Integration
    • 4.9.3 Heterogeneous Integration
    • 4.9.4 III-V-on-Silicon
    • 4.9.5 Bonding and Die-Attachment Techniques
    • 4.9.6 Monolithic versus Hybrid Integration

5 ADVANCED PACKAGING TECHNOLOGIES

  • 5.1 Evolution of Packaging Technologies
    • 5.1.1 Traditional Packaging Approaches
    • 5.1.2 Advanced Packaging Roadmap
    • 5.1.3 Key Performance Metrics
  • 5.2 2.5D Integration Technologies
    • 5.2.1 Silicon Interposer Technology
    • 5.2.2 Organic Substrate Options
  • 5.3 3D Integration Approaches
    • 5.3.1 Through-Silicon Via (TSV)
      • 5.3.1.1 TSV Manufacturing Process
      • 5.3.1.2 TSV Challenges and Solutions
    • 5.3.2 Hybrid Bonding Technologies
      • 5.3.2.1 Cu-Cu Bonding
      • 5.3.2.2 Direct Bonding
  • 5.4 Co-Packaged Optics (CPO)
    • 5.4.1 CPO Architecture Overview
    • 5.4.2 Benefits and Challenges
    • 5.4.3 Integration Approaches
      • 5.4.3.1 2D Integration
      • 5.4.3.2 2.5D Integration
      • 5.4.3.3 3D Integration
    • 5.4.4 Thermal Management
    • 5.4.5 Optical Coupling Solutions
  • 5.5 Optical Alignment
    • 5.5.1 Active vs Passive Alignment
    • 5.5.2 Coupling Efficiency
  • 5.6 Manufacturing Challenges

6 OPTICAL INTERCONNECT ARCHITECTURES FOR AI: PLUGGABLES, LPO/LRO, NPO AND CPO

  • 6.1 The Rise and Challenges of Large Language Models (LLMs)
    • 6.1.1 The Explosive Growth of AI and Generative AI
      • 6.1.1.1 Historical Context and Acceleration
      • 6.1.1.2 Compute Demand Scaling
      • 6.1.1.3 Generative AI Market Expansion
    • 6.1.2 Modern High-Performance AI Data Centre Requirements
      • 6.1.2.1 Compute Density Requirements
      • 6.1.2.2 Network Topology Requirements
      • 6.1.2.3 Availability and Reliability Requirements
    • 6.1.3 NVIDIA’s State-of-the-Art AI Systems
      • 6.1.3.1 DGX H100 and HGX H100
      • 6.1.3.2 Blackwell and Rubin Architectures
    • 6.1.4 Switches: Key Components in Modern Data Centres
      • 6.1.4.1 Switch Hierarchy in AI Data Centres
  • 6.2 Scale-Up, Scale-Out, and Scale-Across Networks
    • 6.2.1 Scale-Up Networks: GPU-to-GPU Interconnects
      • 6.2.1.1 NVIDIA NVLink Implementation
    • 6.2.2 Scale-Out Networks: Rack-to-Rack Communications
      • 6.2.2.1 Ethernet-Based Scale-Out
      • 6.2.2.2 InfiniBand for AI
      • 6.2.2.3 CPO Value Proposition for Scale-Out
    • 6.2.3 Scale-Up, Scale-Out, and Scale-Across Comparison
    • 6.2.4 Roadmap of Interconnect Technology for Network Switches in High-End Data Centres
      • 6.2.4.1 Technology Generations
    • 6.2.5 SerDes Bottleneck in High-Bandwidth Systems
      • 6.2.5.1 SerDes Function
      • 6.2.5.2 Channel Loss Challenges
    • 6.2.6 Solutions to SerDes Bottlenecks in High-Bandwidth Systems
      • 6.2.6.1 Linear-Drive Electronics
      • 6.2.6.2 Near-Package Optics
      • 6.2.6.3 Co-Packaged Optics
    • 6.2.7 Pluggable Optics: Current Bottlenecks and Limitations
      • 6.2.7.1 Form Factor Constraints
      • 6.2.7.2 Electrical Interface Limitations
    • 6.2.8 On-Board Optics (OBO)
      • 6.2.8.1 CPO Architecture
      • 6.2.8.2 Key Enabling Technologies
      • 6.2.8.3 Performance Benefits
      • 6.2.8.4 Implementation Challenges
    • 6.2.9 Transmission Losses in Pluggable Optical Transceiver Connections
    • 6.2.10 Pluggable Optics vs. CPO
    • 6.2.11 Design Decisions for CPO Compared to Pluggables
    • 6.2.12 Advancements in Switch IC Bandwidth and the Need for CPO Technology
      • 6.2.12.1 Bandwidth Scaling Trajectory
    • 6.2.13 L2 Frontside Network Architecture Diagram: CPO vs. Non-CPO
  • 6.3 Challenges in Compute Switch Interconnects (Optical I/O) for High-End Data Centres
    • 6.3.1 Number of Copper Wires in Current AI System Interconnects
      • 6.3.1.1 NVLink Copper Cable Count
    • 6.3.2 Limitations of Current Copper Systems in AI
    • 6.3.3 NVIDIA’s Connectivity Choices: Copper vs. Optical for High-Bandwidth Systems
      • 6.3.3.1 Current Generation: Copper-Centric
      • 6.3.3.2 Future Generation: Optical-First
    • 6.3.4 Strategic Implications
    • 6.3.5 Copper vs. Optical for High-Bandwidth Systems: Benchmark
    • 6.3.6 Migration from Copper to Optical Interconnects for High-End AI Systems
    • 6.3.7 Current AI System Architecture
    • 6.3.8 L1 Backside Compute Architecture with Copper Systems
    • 6.3.9 L1 Backside Compute Architecture with Optical Interconnect: Co-Packaged Optics (CPO)
  • 6.4 Future AI Systems in High-End Data Centres
    • 6.4.1 Power Efficiency Comparison: CPO vs. Pluggable Optics vs. Copper Interconnects
      • 6.4.1.1 Power Consumption Breakdown
    • 6.4.2 Latency of 60cm Data Transmission Technology Benchmark
    • 6.4.3 Future AI Architecture (Short to Mid-Term)
    • 6.4.4 Future AI Architecture (Long-Term)

7 CO-PACKAGED OPTICS (CPO)

  • 7.1 Photonic Integrated Circuits (PICs) Key Concepts
    • 7.1.1 What are Photonic Integrated Circuits (PICs)?
      • 7.1.1.1 Fundamental Definition
      • 7.1.1.2 Material Platforms
      • 7.1.1.3 Integration Levels
    • 7.1.2 PICs vs. Silicon Photonics: What are the Differences?
      • 7.1.2.1 Silicon Photonics: A Specific Implementation
      • 7.1.2.2 Why Silicon Photonics Dominates CPO
    • 7.1.3 PIC Architecture
      • 7.1.3.1 Transmit Path Architecture
      • 7.1.3.2 Receive Path Architecture
      • 7.1.3.3 Supporting Functions
      • 7.1.3.4 Advantages and Challenges of PICs
  • 7.2 Optical Engine (OE)
    • 7.2.1 What is an Optical Engine?
      • 7.2.1.1 Optical Engine Composition
      • 7.2.1.2 Optical Engine vs. Pluggable Transceiver
    • 7.2.2 How an Optical Engine Works
      • 7.2.2.1 Transmit Path Operation
      • 7.2.2.2 Receive Path Operation
      • 7.2.2.3 Critical Performance Parameters
    • 7.2.3 Optical Power Supplies
      • 7.2.3.1 Why External Laser Sources?
      • 7.2.3.2 External Laser Source Architectures
      • 7.2.3.3 Optical Power Delivery
  • 7.3 Three Key Concepts in Co-Packaged Optics (CPO)
    • 7.3.1 Concept 1: Proximity Integration
    • 7.3.2 Concept 2: Functional Partitioning
    • 7.3.3 Concept 3: Coherent Ecosystem Development
    • 7.3.4 Key Technology Building Blocks for CPO
      • 7.3.4.1 Silicon Photonics PIC
      • 7.3.4.2 Electronic IC (EIC)
      • 7.3.4.3 EIC-PIC Integration
      • 7.3.4.4 Fibre Array Units (FAUs)
      • 7.3.4.5 External Laser Source
      • 7.3.4.6 Advanced Packaging Platform
    • 7.3.5 Benefits of CPO: Latency Reduction
      • 7.3.5.1 Sources of Latency in Optical Interconnects
      • 7.3.5.2 CPO Latency Advantages
    • 7.3.6 Benefits of CPO: Power Consumption Reduction
      • 7.3.6.1 Power Consumption Breakdown
      • 7.3.6.2 Why CPO Consumes Less Power
    • 7.3.7 Benefits of CPO: Data Rate Improvements
      • 7.3.7.1 Pluggable Scaling Limitations
      • 7.3.7.2 CPO Scaling Advantages
      • 7.3.7.3 Data Rate Scaling Roadmap
      • 7.3.7.4 The 200G-per-Lane Transition and Silicon Photonics
      • 7.3.7.5 Modulator Technology Roadmap and Emerging Materials
      • 7.3.7.6 Technology Trends in CPO Driven by Rising Data Rates
      • 7.3.7.7 Applicability of Wavelength-Division Multiplexing (WDM)
      • 7.3.7.8 Physical Limits on Fibre Count: The Beachfront (Shoreline) Constraint
      • 7.3.7.9 Increasing the Number of WDM Channels: Technical Challenges
      • 7.3.7.10 The End-to-End Optical Link Budget
    • 7.3.8 Overview of Value Proposition of CPO
      • 7.3.8.1 Value for Hyperscale Data Centre Operators
      • 7.3.8.2 Value for Network Equipment Vendors
      • 7.3.8.3 Value for the Technology Ecosystem
    • 7.3.9 Future Challenges in CPO
      • 7.3.9.1 Manufacturing and Yield Challenges
      • 7.3.9.2 Thermal Management Challenges
      • 7.3.9.3 Serviceability and Reliability Challenges
      • 7.3.9.4 Ecosystem and Standardisation Challenges
      • 7.3.9.5 Cost Challenges
      • 7.3.9.6 Test and Manufacturing Scale-Up
  • 7.4 CPO Standards
    • 7.4.1 OIF Co-Packaging Framework
    • 7.4.2 OCI-MSA (Optical Compute Interconnect Multi-Source Agreement)
    • 7.4.3 OIF Standards for 1.6T and 3.2T CPO Module
    • 7.4.4 External Laser Small Form Pluggable (ELSFP) Implementation Agreement
    • 7.4.5 Telemetry and Management
    • 7.4.6 OIF’s CEI-112G XSR / XSR+ PAM4
    • 7.4.7 UCIe Standard and Its Relationship to CPO
    • 7.4.8 XPO and Open CPX Initiatives
    • 7.4.9 Near-Package Optics (NPO) as an Intermediate Path

8 CO-PACKAGED OPTICS MARKET ANALYSIS

  • 8.1 CPO Market Definition and Scope
  • 8.2 CPO Market Size and Growth Projections
  • 8.3 Switch CPO Market Analysis
    • 8.3.1 Market Overview and Drivers
    • 8.3.2 Deployment Timeline and Adoption Phases
    • 8.3.3 Volume Projections and Market Sizing
    • 8.3.4 Market Concentration and Regional Distribution
    • 8.3.5 Pricing Trajectory and Cost Dynamics
  • 8.4 XPU Optical I/O Market Analysis
    • 8.4.1 Market Drivers and Value Proposition
    • 8.4.2 Adoption Timeline and Platform Evolution
    • 8.4.3 Volume and Revenue Projections
    • 8.4.4 Market Segmentation by Platform
    • 8.4.5 Technology Requirements and Differentiation
  • 8.5 CPO Pricing and Cost Analysis
    • 8.5.1 Current Pricing Landscape
    • 8.5.2 Cost Trajectory and Reduction Drivers
    • 8.5.3 Cost Parity Timeline and Dynamics
    • 8.5.4 Pricing Strategy Implications
  • 8.6 Regional Market Dynamics
    • 8.6.1 North America
    • 8.6.2 Asia-Pacific
    • 8.6.3 Europe
    • 8.6.4 Rest of World
  • 8.7 Total Addressable Market Analysis
    • 8.7.1 Core TAM Segments
    • 8.7.2 Serviceable Addressable Market (SAM)
  • 8.8 Market Forecast by Component
  • 8.9 Market Forecast by Technology Generation
    • 8.9.1 Optical Engine Bandwidth Evolution
    • 8.9.2 Generation Lifecycle Analysis
  • 8.10 Market Restraints and Barriers
    • 8.10.1 Manufacturing Yield and Cost
    • 8.10.2 Serviceability and Field Replacement Concerns
    • 8.10.3 Standards Maturity and Interoperability
    • 8.10.4 Supply Chain Capacity Constraints
    • 8.10.5 Competitive Alternatives
  • 8.11 Adoption Curve Analysis
    • 8.11.1 Technology Adoption Framework
      • 8.11.1.1 Innovators (2024-2026)
      • 8.11.1.2 Early Adopters (2026-2028)
      • 8.11.1.3 Early Majority (2028-2031)
      • 8.11.1.4 Laggards (2034+)
    • 8.11.2 Segment-Specific Adoption Curves
  • 8.12 Adoption Accelerators and Inhibitors
    • 8.12.1 Adoption Curve Implications
  • 8.13 Competitive Landscape Evolution
    • 8.13.1 Current Competitive Positioning
    • 8.13.2 Integrated Device Manufacturers (IDMs)
    • 8.13.3 Silicon Photonics Specialists
    • 8.13.4 Foundry/OSAT Providers
    • 8.13.5 System Vendors
    • 8.13.6 Laser Suppliers
    • 8.13.7 Competitive Dynamics and Market Structure Evolution
      • 8.13.7.1 Near-Term Dynamics (2025-2028)
      • 8.13.7.2 Expected Evolution (2028)
      • 8.13.7.3 Mid-Term Dynamics (2028-2032)
        • 8.13.7.3.1 Expected Evolution (2032)
      • 8.13.7.4 Long-Term Dynamics (2032-2037)
        • 8.13.7.4.1 Expected Evolution (2037)
    • 8.13.8 Vertical Integration Trends
      • 8.13.8.1 Integration Strategy Framework
        • 8.13.8.1.1 Full Vertical Integration
        • 8.13.8.1.2 Partial Integration
        • 8.13.8.1.3 Fabless/Assembly-Light
        • 8.13.8.1.4 Platform Provider
      • 8.13.8.2 Strategic Implications of Integration Trends
    • 8.13.9 Recent Developments — Q1
    • 8.13.10 Recent Developments — Q2
  • 8.14 Scenario Analysis
    • 8.14.1 Scenario Framework
    • 8.14.2 Scenario Definitions
    • 8.14.3 Bull Case Scenario
    • 8.14.4 Base Case Scenario
    • 8.14.5 Bear Case Scenario
    • 8.14.6 Optical transceiver market
    • 8.14.7 Scenario Comparison and Key Variables

9 GLOBAL MARKET SIZE AND FORECASTS 2027–2037

  • 9.1 Headline Market Model 2027–2037
  • 9.2 Market Segmentation by Application 2027–2037
  • 9.3 Market Segmentation by Interconnect Architecture 2027–2037
  • 9.4 Modules and PIC Dies 2027–2037
    • 9.4.1 Global Silicon Photonics and Photonic Integrated Circuits Market Overview
      • 9.4.1.1 Market Size and Growth Trends
      • 9.4.1.2 Market Segmentation by Application
      • 9.4.1.3 Server Boards, CPUs and Accelerators
      • 9.4.1.4 Modules & PICs (Dies) Market Forecast 2027–2037
      • 9.4.1.5 SOI Wafers for Silicon Photonics
      • 9.4.1.6 LPO & New Modulator Materials Market Forecast 2027–2037
    • 9.4.2 Datacom Applications
      • 9.4.2.1 Market Forecast
        • 9.4.2.1.1 Datacom and Telecom Modules and PICs
        • 9.4.2.1.2 PIC Transceivers for AI
        • 9.4.2.1.3 PIC Transceiver Pricing
      • 9.4.2.2 PIC Transceiver Cost per Gigabit
      • 9.4.2.3 PIC Datacom Transceiver Market
      • 9.4.2.4 Datacom Transceiver Revenue by Customer Type
  • 9.5 Quantum PIC Market
    • 9.5.1. Key Drivers and Restraints
    • 9.5.2 Co-Packaged Optics
    • 9.5.3 Telecom Applications
      • 9.5.3.1 Market Forecast
        • 9.5.3.1.1 PIC-based Transceivers for 5G and 6G
      • 9.5.3.2 Key Drivers and Restraints
    • 9.5.4 Sensing Applications
      • 9.5.4.1 Market Forecast
      • 9.5.4.2 Key Drivers and Restraints
    • 9.5.5 Photonic Integrated Circuit Market, by Material

10 SUPPLY CHAIN, TECHNOLOGY TRENDS AND FUTURE CHALLENGES

  • 10.1 SUPPLY CHAIN ANALYSIS
    • 10.1.1 Foundries and Wafer Suppliers
      • 10.1.1.1 CMOS Foundries
      • 10.1.1.2 Specialty Photonics Foundries
      • 10.1.1.3 Indium Phosphide Wafer Supply
    • 10.1.2 Integrated Device Manufacturers (IDMs)
      • 10.1.2.1 Fabless Companies
      • 10.1.2.2 Fully Integrated Photonics Companies
    • 10.1.3 Foundries and Wafer Suppliers
    • 10.1.4 Packaging and Testing
      • 10.1.4.1 Chip-Scale Packaging
      • 10.1.4.2 Module-Level Packaging
      • 10.1.4.3 Testing and Characterization
      • 10.1.4.4 Optical Module Assembly: The Shift to Southeast Asia
      • 10.1.4.5 The EML Laser Shortage
    • 10.1.5 System Integrators and End-Users
      • 10.1.5.1 CPO Partner Ecosystems: NVIDIA and Broadco
  • 10.2 TECHNOLOGY TRENDS
    • 10.2.1 Laser Integration Techniques
      • 10.2.1.1 Direct Epitaxial Growth
      • 10.2.1.2 Flip-Chip Bonding
      • 10.2.1.3 Hybrid Integration
      • 10.2.1.4 Advances and Challenges
    • 10.2.2 Modulator Technologies
      • 10.2.2.1 Silicon Modulators
      • 10.2.2.2 Germanium Modulators
      • 10.2.2.3 Lithium Niobate Modulators
      • 10.2.2.4 Polymer Modulators
        • 10.2.2.4.1 Tower Semiconductor and Lightwave Logic EO-Polymer
    • 10.2.3 Photodetector Technologies
      • 10.2.3.1 Silicon Photodetectors
      • 10.2.3.2 Germanium Photodetectors
      • 10.2.3.3 III-V Photodetectors
    • 10.2.4 Waveguide and Coupling Innovations
      • 10.2.4.1 Silicon Waveguides
      • 10.2.4.2 Silicon Nitride Waveguides
      • 10.2.4.3 Coupling Techniques
    • 10.2.5 Packaging and Integration Advancements
      • 10.2.5.1 Chip-Scale Packaging
    • 10.2.6 Wafer-Scale Integration
      • 10.2.6.1 3D Integration and Interposer Technologies
  • 10.3 CHALLENGES AND FUTURE TRENDS
    • 10.3.1 CMOS-Foundry-Compatible Devices and Integration
      • 10.3.1.1 Scaling and Miniaturization
      • 10.3.1.2 Process Complexity and Yield Improvement
      • 10.3.1.3 Energy-Efficient Photonic Devices
      • 10.3.1.4 Thermal Optimization Techniques
    • 10.3.2 Packaging and Testing
      • 10.3.2.1 Advanced Packaging Solutions
      • 10.3.2.2 Automated Testing and Characterization
    • 10.3.3 Scalability and Cost-Effectiveness
      • 10.3.3.1 Wafer-Scale Integration
      • 10.3.3.2 Outsourced Semiconductor Assembly and Test (OSAT)
    • 10.3.4 Emerging Materials and Hybrid Integration
      • 10.3.4.1 Novel Semiconductor Materials
      • 10.3.4.2 Heterogeneous Integration Approaches
    • 10.3.5 Technology Readiness Assessment

11 COMPANY PROFILES (160 company profiles)

12 REFERENCES

List of Tables

  • Table 1. Photonic Integrated Circuits Applications
  • Table 2. Silicon Photonics vs. Electronics: Key Metrics Comparison.
  • Table 3. Photonic Technologies Comparative Analysis.
  • Table 4. Comparison between electronic and photonic computing.
  • Table 5. Silicon Photonics technical achievements.
  • Table 6. Electronics companies silicon photonics commercial activities.
  • Table 7. Manufacturing Metrics & Challenges.
  • Table 8. Manufacturing Targets vs Current State.
  • Table 9. Regional Strengths & Research Focus.
  • Table 10. Comparative cost analysis.
  • Table 11. Challenges for CMOS-Foundry-Compatible Photonic Devices.
  • Table 12. Silicon Photonics Integration Schemes.
  • Table 13. Benefits of PICs.
  • Table 14. Current & Future Photonic Integrated Circuits Applications.
  • Table 15. Photodetector Performance.
  • Table 16. III-V Device Performance.
  • Table 17. Optical Modulator Performance Comparison.
  • Table 18. Silicon Photonic Waveguide Characteristics.
  • Table 19. Optical Component Integration Metrics.
  • Table 20. Advantages of Silicon Photonics.
  • Table 21. Applications of Silicon Photonics.
  • Table 22. Comparison with Other Photonic Integration Technologies.
  • Table 23. Silicon Photonics vs Traditional Electronics: Performance Metrics.
  • Table 24. Switch IC Bandwidth and CPO Technology Evolution.
  • Table 25. Challenges in data center architectures.
  • Table 26. Key Trends of Optical Transceivers in High-End Data Centers.
  • Table 27. Core Components Specifications and Requirements
  • Table 28. Types of Emission and Photon Sources/Lasers.
  • Table 29. III-V Integration Challenges.
  • Table 30. Laser Integration Approaches Comparison.
  • Table 31. Modulator Types and Configurations.
  • Table 32. Waveguide Specifications and Requirements.
  • Table 33. Optical Component Density Evolution.
  • Table 34. Data Transmission Parameters and Specifications.
  • Table 35. Circuit Architecture Building Blocks.
  • Table 36. Integration Approaches.
  • Table 37. Technology Platforms.
  • Table 38. Silicon Photonics Component Specifications.
  • Table 39. Optical Properties of Silicon.
  • Table 40. Fabrication Processes for Silicon Photonics.
  • Table 41. Silicon Semiconductor Foundry In-House Technologies.
  • Table 42. SOI Platform Benchmarking.
  • Table 43. Silicon Foundry Technology Comparison.
  • Table 44. Silicon-on-insulator (SOI) Platform Benchmarking.
  • Table 45. Key SOI Players.
  • Table 46. Germanium Integration Methods and Applications.
  • Table 47. SiN Key Foundries.
  • Table 48. SiN Modulator Technologies.
  • Table 49. Silicon (SOI and SiN) Device Heterogeneous Integration.
  • Table 50. SiN Benchmarking.
  • Table 51. Applications of SiN in Photonics.
  • Table 52. SiN PIC Players.
  • Table 53. SiN Foundry Analysis.
  • Table 54. Benchmarking of TFLN.
  • Table 55. Characteristics and Properties of LNOI.
  • Table 56. LNOI Fabrication Processes.
  • Table 57. LNOI-based Modulator and Switch Technologies.
  • Table 58. Emerging LNOI Device Technologies.
  • Table 59. InP Benchmarking.
  • Table 60. Integration Technologies.
  • Table 61. InP PIC Players.
  • Table 62. BTO Benchmarking.
  • Table 63. Comparative analysis of materials.
  • Table 64. Benchmarking of Polymer on Insulator.
  • Table 65. Wafer Size Comparison by Platform.
  • Table 66. Wafer Processing Challenges.
  • Table 67. Yield Analysis by Process Step.
  • Table 68. Integration Scheme Comparison.
  • Table 69. Bonding and Die-Attachment Techniques.
  • Table 70. Monolithic versus Hybrid Integration.
  • Table 71. Packaging Technology Comparison Matrix.
  • Table 72. Evolution of semiconductor packaging.
  • Table 73. Advanced Packaging Roadmap.
  • Table 74. Summary of key advanced semiconductor packaging approaches.
  • Table 75. Key Performance Metrics for Advanced Packaging Technologies.
  • Table 76. Glass Interposer Solutions.
  • Table 77. Organic Substrate Options.
  • Table 78. 3D Integration Approaches
  • Table 79. TSV Specifications by Application.
  • Table 80. TSV Challenges and Solutions.
  • Table 81. Comparative benchmark overview table of key semiconductor interconnection technologies
  • Table 82. CPO Benefits and Challenges.
  • Table 83. Performance Metrics Comparison.
  • Table 84. CPO Integration Approaches Comparison.
  • Table 85. Manufacturing Process Comparison.
  • Table 86. Thermal Management Approaches.
  • Table 87. Optical Coupling Solutions.
  • Table 88. Alignment Tolerance Analysis.
  • Table 89. Active vs Passive Alignment Comparison.
  • Table 90. Coupling Efficiency Analysis.
  • Table 91. Advanced packaging manufacturing challenges.
  • Table 92. AI Model Parameter and Compute Growth (2018-2030)
  • Table 93. Global AI Training Compute Demand Growth
  • Table 94. AI Data Centre Requirements by Workload Type
  • Table 95. Switch Hierarchy in AI Data Centres
  • Table 96. Scale-Up vs. Scale-Out vs. Scale-Across Comparison Matrix
  • Table 97. Interconnect Technology Roadmap (2020-2036)
  • Table 98. SerDes Bandwidth Limitations and Power Consumption
  • Table 99. SerDes Bottleneck Solutions Comparison
  • Table 100. Pluggable Optics Architecture and Limitations
  • Table 101. Signal Loss Comparison: Pluggable vs. CPO (dB)
  • Table 102. Comprehensive Pluggable vs. CPO Comparison
  • Table 103. Design Decision Framework for CPO Adoption
  • Table 104. Switch ASIC Bandwidth Scaling (51.2T → 102.4T → 204.8T)
  • Table 105. L2 Network Architecture Comparison
  • Table 106. Copper Wire Count in Current AI Systems
  • Table 107. Copper Interconnect Specifications by System
  • Table 108. Copper System Limitations Summary
  • Table 109. Copper vs. Optical Performance Benchmark
  • Table 110. Copper-to-Optical Migration Roadmap
  • Table 111. Power Consumption by Interconnect Technology
  • Table 112. Power Consumption Component Breakdown: Pluggable vs. CPO (400G)
  • Table 113. Latency Benchmark Comparison
  • Table 114. AI Architecture Evolution (2026-2030)
  • Table 115. PIC Component Overview
  • Table 116. PICs vs. Silicon Photonics Comparison
  • Table 117. Silicon Photonics vs. Other PIC Platforms: Capability Comparison
  • Table 118. PIC Advantages and Challenges Summary
  • Table 119. Optical Engine vs. Pluggable Transceiver Comparison
  • Table 120. External Laser Source Configurations
  • Table 121. CPO Technology Building Blocks
  • Table 122. CPO Technology Components and Suppliers
  • Table 123. Latency Comparison: Pluggable vs. CPO
  • Table 124. Power Consumption Comparison (pJ/bit Roadmap)
  • Table 125. Data Rate Scaling: Pluggable vs. CPO
  • Table 126. Emerging modulator technologies for CPO and high-speed optics
  • Table 127. Data-Rate Scaling Levers, Physical Ceilings, and Industry Responses
  • Table 128. WDM Variants for Co-Packaged Optics
  • Table 129. Representative Multi-Wavelength Source and Platform Demonstrations (2025–2026)
  • Table 130. Shoreline (Beachfront) Bandwidth Density
  • Table 131. Challenges of Higher WDM Channel Count and Mitigations
  • Table 132. Representative CPO Optical Link Budget (per channel, ELSFP output to receiver)
  • Table 133. CPO Value Proposition Summary
  • Table 134. CPO Technical Challenges and Mitigation Approaches
  • Table 135. CPO test scale-up: challenges and mitigations
  • Table 136. OIF CPO Standards Development Timeline
  • Table 137. OIF CPO Framework Functional Partitioning
  • Table 138. OIF CPO Module Specifications by Generation
  • Table 139. ELSFP Implementation Agreement Key Specifications
  • Table 140. CPO Telemetry and Management Requirements
  • Table 141. OIF CEI Specifications for CPO Applications
  • Table 142. UCIe Specifications and CPO Relationship
  • Table 143. China CPO Standards Landscape
  • Table 144. Pluggable vs. co-packaged optics: cost and serviceability
  • Table 145. Global CPO Market Forecast ($ Millions)
  • Table 146. Switch CPO Unit Volume Forecast (Thousands of Optical Engines)
  • Table 147. Switch CPO Market Forecast by Switch Generation ($M)
  • Table 148. CPO Cost Trajectory Projection
  • Table 149. XPU Optical I/O Market Forecast
  • Table 150. XPU Optical I/O Market Forecast by Platform ($M)
  • Table 151. CPO Cost Trajectory Projection
  • Table 152. CPO vs. Pluggable Cost Comparison (Per 800G Equivalent)
  • Table 153. Total Cost of Ownership Comparison (Per 51.2T Switch, 5-Year Lifetime)
  • Table 154. North America CPO Market Forecast 2026-2037
  • Table 155. Asia-Pacific CPO Market Forecast 2026-2037
  • Table 156. Europe CPO Market Forecast 2026-2037
  • Table 157. Rest of World CPO Market Forecast 2026-2037
  • Table 158. Global CPO Market Summary
  • Table 159. CPO Total Addressable Market Quantification
  • Table 160. CPO Serviceable Addressable Market
  • Table 161. CPO Component Market Forecast ($M)
  • Table 162. CPO Market by Optical Engine Generation ($M)
  • Table 163. CPO Commercial Milestones and Representative Products by Period
  • Table 164. Generation Share Evolution
  • Table 165. Manufacturing Yield Improvement Trajectory
  • Table 166. CPO Standards Development Timeline
  • Table 167. Market Restraints Summary
  • Table 168. CPO Adoption Curve by Segment (Penetration of Addressable Market)
  • Table 169. CPO Market Share by Participant (2024-2026)
  • Table 170. Near-Term Competitive Evolution
  • Table 171. Competitive Landscape Evolution Timeline
  • Table 172. Vertical Integration Trends by Participant Type
  • Table 173. Vertical Integration by Company
  • Table 174. Bull Case Market Forecast ($M)
  • Table 175. Base Case Market Forecast ($M)
  • Table 176. Bear Case Market Forecast ($M)
  • Table 177. Global optical transceiver market context (USD billion)
  • Table 178. Scenario Comparison Summary
  • Table 179. Global Silicon Photonics, LPO/LRO and NPO/CPO Market, 2027–2037 (US$ billion)
  • Table 180. Market Segmentation by Application, 2027–2037 (US$ billion)
  • Table 181. Optical-Interconnect Market by Architecture, 2027–2037 (US$ billion)
  • Table 182. Modules and PIC Dies Market Forecast, 2027–2037 (US$ billion)
  • Table 183. Global Silicon Photonics and PIC Market, 2027–2037 (US$ billion)
  • Table 184. Market Segmentation by Application 2027–2037 (Billions USD).
  • Table 185. Silicon Photonics on Server Boards, CPUs and Accelerators, 2027–2037
  • Table 186. Modules and PICs (Dies) Market Forecast, 2027–2037 (US$ billion)
  • Table 187. SOI Wafers for Silicon Photonics Market Forecast, 2027–2037
  • Table 188. LPO and New Modulator Materials Market Forecast, 2027–2037 (US$ billion)
  • Table 189. Silicon Photonics in Datacom Applications, 2027–2037 (US$ billion)
  • Table 190. Datacom and Telecom Modules Market Forecast, 2027–2037 (US$ billion)
  • Table 191. Datacom and Telecom PICs (Dies) Market Forecast, 2027–2037 (US$ billion)
  • Table 192. PIC Transceivers for AI, Units Forecast, 2027–2037
  • Table 193. PIC Transceiver Pricing, 2027–2037 (US$ per unit)
  • Table 194. PIC Transceiver Cost per Gigabit, 2027–2037 (US$ per Gb/s)
  • Table 195. PIC Datacom Transceiver Market Forecast, 2027–2037
  • Table 196. PIC Datacom Transceiver Revenue by Customer Type, 2027–2037 (US$ billion)
  • Table 197. Quantum PIC Market Forecast, 2027–2037 (US$ million)
  • Table 198. Key market drivers and restraints for silicon photonics in Datacom Applications.
  • Table 199. Co-Packaged Optics Market Forecast, 2027–2037 (US$ million)
  • Table 200. Silicon Photonics in Telecom Applications, 2027–2037 (US$ billion)
  • Table 201. PIC-based Transceivers for 5G and 6G, Units and Market, 2027–2037
  • Table 202. Key market drivers and restraints for silicon photonics in Telecom Applications.
  • Table 203. Silicon Photonics in Sensing Applications, 2027–2037 (US$ billion)
  • Table 204. Key market drivers and restraints for silicon photonics in Sensing Applications.
  • Table 205. PIC Market by Material Platform, 2027–2037 (US$ billion)
  • Table 206. Silicon Photonics Supply Chain and Ecosystem.
  • Table 207. CMOS Foundries.
  • Table 208. Specialty Photonics Foundries.
  • Table 209. Fabless Companies.
  • Table 210. Fully Integrated Photonics Companies.
  • Table 211. Foundries and Wafer Suppliers.
  • Table 212. System Integrators and End-Users.
  • Table 213. Laser Integration Methods Comparison.
  • Table 214. Advanced Techniques and Challenges.
  • Table 215. Modulator Technology Benchmarking.
  • Table 216. Photodetector Performance Metrics .
  • Table 217. Novel semiconductor materials for silicon photonics.
  • Table 218. Technology readiness of silicon photonics technologies, 2026

List of Figures

  • Figure 1. Silicon Photonic Transceiver Evolution Timeline.
  • Figure 2. Silicon Photonics Player Market Map.
  • Figure 3. Basic Silicon Photonic Circuit Architecture.
  • Figure 4. High Performance AI data center.
  • Figure 5. Optical IO Coupling Mechanisms Diagram.
  • Figure 6. Optical Component Density Evolution.
  • Figure 7. Basic Optical Data Transmission Diagram.
  • Figure 8. SOI Wafer Structure.
  • Figure 9. Manufacturing Process Flow.
  • Figure 10. Germanium Photodetector.
  • Figure 11. Silicon Nitride Layer
  • Figure 12. SiN Waveguide Cross-sections.
  • Figure 13. LNOI Device Structures
  • Figure 14. Timeline of different packaging technologies.
  • Figure 15. Advanced Packaging Roadmap.
  • Figure 16. 2D chip packaging.
  • Figure 17. Typical structure of 2.5D IC package utilizing interposer.
  • Figure 18. TSV Structure and Implementation.
  • Figure 19. Hybrid Bonding Process Flow.
  • Figure 20.Co-Packaged Optics Architecture.
  • Figure 21. LLM Parameter Growth Timeline (GPT-1 to GPT-5 and Beyond)
  • Figure 22. DGX H100/H200 system topology
  • Figure 23. NVIDIA Rubin Architecture Overview
  • Figure 24. Scale-Up Network Topology (NVLink, NVSwitch)
  • Figure 25. Scale-Out and Scale-Up Network Topology (Ethernet/InfiniBand)
  • Figure 26. Three-Tier Network Architecture Diagram
  • Figure 27. Interconnect Technology Roadmap (2020-2036)
  • Figure 28. On-Board Optics Configuration
  • Figure 29. Switch ASIC Bandwidth Scaling (51.2T → 102.4T → 204.8T)
  • Figure 30.Copper-to-Optical Migration Roadmap
  • Figure 31.Current AI System Interconnect Architecture
  • Figure 32. AI Architecture Evolution (2026-2030)
  • Figure Figure 33. AI Architecture Vision (2031-2037)
  • Figure 34. PIC Architecture for CPO Applications
  • Figure 35. CPO Key Concepts Illustration
  • Figure 36. Power Consumption Comparison (pJ/bit Roadmap)
  • Figure 37. Silicon Photonics Supply Chain and Ecosystem.
  • Figure 38. NVIDIA's silicon photonics switches.
  • Figure 39. PhotoniSol optical isolator chip.
  • Figure 40. Q.ANT Native Processing Unit (NPU).
  • Figure 41. QuiX low-loss photonic quantum processors.
  • Figure 42. A prototype of Taara’s silicon photonics chip device.