The Global Co-Packaged Optics Market 2026-2036

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  • Published: November 2025
  • Pages: 434
  • Tables: 228
  • Figures: 54

 

The global co-packaged optics (CPO) market stands at an inflection point, poised to fundamentally transform data center interconnect architecture over the coming decade. Driven primarily by the explosive growth of artificial intelligence workloads, particularly large language models and generative AI, CPO technology addresses critical bottlenecks in bandwidth, power consumption, and latency that conventional pluggable optical modules can no longer overcome. 

Co-packaged optics integrates optical transceivers directly with switch ASICs or processors within the same package, dramatically shortening the electrical path between computing silicon and optical conversion. This architectural shift reduces power consumption from approximately 15 picojoules per bit with pluggable modules to around 5 picojoules per bit, with a projected path to below 1 picojoule per bit. The technology also enables significantly higher bandwidth density at the package edge, essential for next-generation switches operating at 51.2 terabits per second and beyond.

The market divides into two primary application segments: scale-out and scale-up networks. Scale-out applications encompass traditional data center switching fabrics using Ethernet or InfiniBand protocols, connecting racks and clusters across the facility. Scale-up applications target GPU-to-GPU and accelerator interconnects within AI training clusters, replacing copper-based solutions like NVIDIA's NVLink with optical alternatives that offer superior reach, bandwidth, and power efficiency. Initial CPO deployments are expected to target scale-up AI networks before expanding to broader scale-out infrastructure.

NVIDIA's announcement of Spectrum-X and Quantum-X silicon photonics switches at GTC 2025 marked a watershed moment for the industry, signaling that the dominant AI infrastructure provider is fully committed to CPO technology. These switches leverage TSMC's System on Integrated Chips (SoIC) technology with 3D hybrid bonding to achieve unprecedented integration density. Broadcom, the leading switch ASIC supplier, has pursued a complementary strategy with its Bailly CPO platform, emphasizing an open ecosystem approach that works with multiple packaging and photonics partners.

The CPO supply chain represents one of the semiconductor industry's most complex ecosystems, spanning photonic integrated circuit design, laser sources, electronic interface circuits, advanced packaging, optical alignment, and system integration. TSMC has emerged as a central player, providing both leading-edge logic processes and advanced packaging platforms including CoWoS and COUPE that enable tight integration of photonic and electronic chiplets. Critical bottlenecks remain in optical assembly and testing, where sub-micron alignment tolerances and specialized equipment create manufacturing challenges that the industry is actively working to resolve.

Key technology decisions facing the industry include the choice between 2.5D and 3D integration approaches, external versus integrated laser sources, and edge coupling versus grating coupling for fiber attachment. Most leading implementations have converged on external laser source architectures that keep temperature-sensitive lasers separate from heat-generating ASICs, improving reliability and enabling redundancy. Hybrid bonding technology is increasingly favored for achieving the interconnect density required for next-generation optical engines.

Hyperscale cloud providers including AWS, Microsoft Azure, Google, and Meta represent the primary demand drivers, with their massive AI infrastructure investments creating urgent requirements for CPO solutions. These companies collectively invest tens of billions of dollars annually in data center infrastructure and are actively evaluating or developing CPO technology for deployment beginning in 2026-2027.

The competitive landscape features established semiconductor giants alongside well-funded startups. Companies like Ayar Labs, Lightmatter, and Celestial AI are pioneering novel architectures including 3D photonic interposers and photonic fabric technologies that may reshape the market. Meanwhile, traditional optical component suppliers including Lumentum, Coherent, and Marvell are adapting their portfolios for CPO applications. As AI model sizes continue growing exponentially and data center power constraints tighten, CPO technology offers a compelling solution to interconnect challenges that will only intensify. The technology's ability to deliver higher bandwidth at lower power positions it as essential infrastructure for the AI era.

The Global Co-Packaged Optics Market 2026-2036 delivers comprehensive analysis of the rapidly emerging CPO industry, examining how this transformative technology is reshaping data centre interconnect architecture to meet the unprecedented bandwidth demands of artificial intelligence and machine learning workloads. As hyperscale operators and AI infrastructure providers confront critical limitations in power consumption, latency, and bandwidth density with conventional pluggable optical modules, co-packaged optics has emerged as the definitive next-generation solution, integrating optical transceivers directly with switch ASICs and accelerators to achieve dramatic improvements in performance and efficiency.

This authoritative report provides semiconductor industry professionals, investors, data centre operators, and technology strategists with detailed market forecasts projecting CPO growth from nascent commercial deployments through mass adoption, with granular segmentation by application (scale-out networking and scale-up AI interconnects), integration technology (2D, 2.5D, and 3D packaging), and end-use sector. The research examines the complete CPO value chain, from photonic integrated circuit design and laser sources through advanced semiconductor packaging and system integration, identifying critical bottlenecks, emerging solutions, and strategic opportunities across each segment.

Drawing on extensive primary research including interviews with industry leaders across the CPO ecosystem, the report delivers actionable intelligence on technology roadmaps from dominant players including NVIDIA and Broadcom, evaluates competing packaging approaches from leading OSATs and foundries, and assesses the readiness of hyperscale customers to deploy CPO at scale. Detailed company profiles provide strategic analysis of 55 organisations actively shaping the CPO landscape, while comprehensive benchmarking enables direct comparison of competing technologies, products, and ecosystem strategies.

Report contents include: 

  • Market Analysis and Forecasts
    • Ten-year market forecasts (2026-2036) for total CPO market size and revenue
    • Optical I/O for AI interconnect unit shipment and revenue projections
    • CPO network switch unit shipment and market size forecasts
    • Server board, CPU, and GPU/accelerator demand forecasts driving CPO adoption
    • Segmentation by EIC/PIC integration technology and packaging approach
    • Regional analysis and adoption timeline projections
  • Technology Analysis
    • Comprehensive examination of photonic integrated circuit (PIC) architectures and silicon photonics
    • Optical engine design principles, components, and performance benchmarks
    • Detailed analysis of 2D, 2.5D, and 3D EIC/PIC integration approaches
    • Through-silicon via (TSV), fan-out, glass-based, and hybrid bonding packaging technologies
    • Fiber array unit (FAU) alignment challenges and solutions
    • Laser integration methods including external laser source architectures
    • Universal Chiplet Interconnect Express (UCIe) implications for CPO
  • Application Analysis
    • Scale-out network switch CPO for Ethernet and InfiniBand fabrics
    • Scale-up optical I/O for GPU-to-GPU and AI accelerator interconnects
    • Comparison of CPO, pluggable optics, and copper interconnect approaches
    • Power efficiency analysis: CPO vs. pluggable vs. copper (pJ/bit benchmarks)
    • Latency performance comparisons across interconnect technologies
    • Migration roadmaps from copper to optical in AI infrastructure
  • Industry and Supply Chain Intelligence
    • Complete CPO industrial ecosystem mapping across ten value chain segments
    • PIC design, ASIC/xPU, laser sources, wafer/substrate suppliers analysis
    • EIC, SerDes, PHY, and retimer supplier landscape
    • Connector and fiber infrastructure provider assessment
    • Foundry capabilities for silicon photonics and advanced packaging
    • OSAT packaging, assembly, and test service provider evaluation
    • System integrator and ODM/OEM positioning
    • Hyperscaler end customer requirements and adoption timelines
    • Ecosystem interdependencies and strategic implications
  • Competitive Intelligence
    • NVIDIA vs. Broadcom strategic comparison in AI infrastructure and CPO
    • Product benchmarking: Spectrum-X, Quantum-X, Bailly platform specifications
    • Divergent ecosystem strategies and partnership analysis
    • Start-up innovation landscape: Ayar Labs, Lightmatter, Celestial AI, and others
    • Foundry platform comparison: TSMC COUPE/iOIS, GlobalFoundries Fotonix
  • Challenges and Solutions
    • SerDes bottlenecks in high-bandwidth systems and mitigation approaches
    • Thermal management challenges in CPO module design
    • Optical alignment precision requirements and manufacturing solutions
    • Reliability considerations: redundancy, monitoring, and self-correction
    • Testing strategies for wafer-level and package-level optical validation
    • Standardisation efforts and interoperability considerations

 

Companies Profiled include Alphawave Semi, AMD, Amkor Technology, ASE Holdings, Astera Labs, Avicena, AXT, Ayar Labs, Broadcom, CEA-Leti, Celestial AI, Cisco, Coherent, Corning, Credo, DenseLight, EFFECT Photonics, EVG, Fabrinet, FOCI (Fiber Optical Communication Inc.), FormFactor, Foxconn, GlobalFoundries, Henkel, Hewlett Packard Enterprise, imec, Intel, JCET Group, Lightmatter, LioniX International, Lumentum, MACOM, Marvell, MediaTek, Molex, Nubis Communications, NVIDIA, OpenLight, Ranovus, Rockley Photonics, Samtec, Scintil Photonics and more.......

 

Key Questions Answered

  • What is the total addressable market for co-packaged optics through 2036?
  • How will CPO adoption differ between scale-out networking and scale-up AI applications?
  • Which advanced packaging technologies offer the best performance-cost trade-offs for CPO?
  • How are NVIDIA and Broadcom positioning their CPO strategies differently?
  • What role will TSMC's COUPE and iOIS platforms play in CPO manufacturing?
  • Which laser integration approach will achieve commercial dominance?
  • How will optical alignment and fiber attachment challenges be resolved at scale?
  • When will hyperscale data centres begin volume CPO deployment?
  • What are the key investment opportunities across the CPO value chain?
  • How does CPO compare to high-density connector alternatives being developed?

 

Who Should Purchase This Report

  • Semiconductor company executives evaluating CPO market entry or expansion
  • Photonics and optical component manufacturers assessing strategic positioning
  • Advanced packaging service providers planning CPO capability development
  • Data centre operators and hyperscale infrastructure planners
  • AI chip and accelerator designers exploring optical interconnect integration
  • Venture capital and private equity investors targeting CPO opportunities
  • Investment analysts covering semiconductor, photonics, and data centre sectors
  • Strategic planners at system OEMs and ODMs
  • Supply chain managers responsible for optical and packaging sourcing
  • Technology policy makers assessing semiconductor industry trends

 

 

 

1             EXECUTIVE SUMMARY            35

  • 1.1        Report Overview and Key Findings   35
  • 1.2        Market Definition and Scope               35
    • 1.2.1    Definition of Co-Packaged Optics (CPO)     35
    • 1.2.2    Scope of This Report 36
  • 1.3        Key Market Drivers and Restraints   36
  • 1.4        Modern High-Performance AI Data Centre Architecture    37
    • 1.4.1    Physical Infrastructure Hierarchy     37
    • 1.4.2    Network Architecture                38
    • 1.4.3    Power and Cooling Considerations 38
  • 1.5        Switches: Key Components in Modern Data Centres          39
    • 1.5.1    Switch Architecture Evolution            39
    • 1.5.2    Switch ASIC Technology         40
    • 1.5.3    Optical Transceiver Requirements   41
  • 1.6        Advancements in Switch IC Bandwidth and the Need for CPO Technology          41
    • 1.6.1    Historical Bandwidth Scaling              41
    • 1.6.2    SerDes Technology Evolution              42
    • 1.6.3    Electrical Signalling Limits    42
    • 1.6.4    Front-Panel Density Constraints      42
    • 1.6.5    Power Consumption Trajectory         42
  • 1.7        Overview of Key Challenges in Data Centre Architectures               43
    • 1.7.1    Thermal Management             43
    • 1.7.2    Power Delivery              43
    • 1.7.3    Cable Management   43
    • 1.7.4    Reliability and Serviceability                44
    • 1.7.5    Standards and Interoperability           44
  • 1.8        Key Trend of Optical Transceivers in High-End Data Centres          44
    • 1.8.1    Historical Evolution   44
    • 1.8.2    Technology Migration Path    45
  • 1.9        Design Decisions: CPO vs. Pluggables Comparison           48
    • 1.9.1    Performance Comparison    48
    • 1.9.2    Operational Comparison       48
    • 1.9.3    Economic Comparison           48
  • 1.10     What is an Optical Engine (OE)?       49
    • 1.10.1 Functional Description            49
    • 1.10.2 Optical Engine Components               49
    • 1.10.3 Performance Parameters       50
  • 1.11     Heterogeneous Integration and Co-Packaged Optics         50
    • 1.11.1 The Heterogeneous Integration Imperative 51
    • 1.11.2 Integration Approaches for CPO       51
    • 1.11.3 TSMC's Role in Heterogeneous Integration 52
  • 1.15     Overview of Interconnection Techniques in Semiconductor Packaging 52
    • 1.15.1 Wire Bonding 53
    • 1.15.2 Flip-Chip Bumping     53
    • 1.15.3 Micro-Bumping            53
    • 1.15.4 Through-Silicon Via (TSV)       53
    • 1.15.5 Hybrid Bonding            53
    • 1.15.6 Redistribution Layer (RDL)    54
  • 1.16     Key CPO Applications: Network Switch and Computing Optical I/O         54
    • 1.16.1 Scale-Out Network Switching            54
    • 1.16.2 Scale-Up Computing Optical I/O      55
  • 1.17     EIC/PIC Integration by Advanced Interconnect Techniques            56
    • 1.17.1 Integration Requirements      56
  • 1.18     2D to 3D EIC/PIC Integration Options            57
    • 1.18.1 2D Integration Architecture   57
    • 1.18.2 2.5D Integration Architecture              58
    • 1.18.3 3D Integration Architecture   58
  • 1.19     Benchmark of Different Packaging Technologies for EIC/PIC         63
  • 1.20     Examples of Packaging a 3D Optical Engine with an IC      64
    • 1.20.1 Configuration 1: EIC-on-PIC with Micro-Bumps     64
    • 1.20.2 Configuration 2: PIC-on-EIC with Through-Silicon Vias     64
    • 1.20.3 Configuration 3: 3D SoIC with Hybrid Bonding        64
  • 1.21     Types of CPO + XPU/Switch ASIC Packaging Structures    65
    • 1.21.1 Type I: Optical Engines on Package Periphery          65
    • 1.21.2 Type II: Optical Engines Co-Located with ASIC on Interposer        65
    • 1.21.3 Type III: 3D Stacked Optical Engines              66
  • 1.22     Challenges and Future Potential of CPO Technology           67
    • 1.22.1 Technical Challenges               67
    • 1.22.2 Commercial Challenges        67
      • 1.22.2.1            Future Potential           67
  • 1.23     NVIDIA vs. Broadcom: Strategic Comparison in AI Infrastructure and CPO         68
    • 1.23.1 NVIDIA's CPO Strategy: Vertical Integration               68
    • 1.23.2 Broadcom's CPO Strategy: Open Ecosystem           69
    • 1.23.3 Competitive Dynamics           69
    • 1.23.4 CPO Product Benchmark: NVIDIA vs. Broadcom   70
    • 1.23.5 NVIDIA and Broadcom: Divergent CPO Ecosystems           70
  • 1.24     Current AI System Architecture          71
    • 1.24.1 NVIDIA DGX/HGX Architecture           71
  • 1.25     Future AI Architecture              71
  • 1.26     Market Forecast           72
    • 1.26.1 Server Boards, CPUs, and GPUs/Accelerators         72
    • 1.26.2 Optical I/O for AI Interconnect CPO Forecast (Units Shipped)      72
    • 1.26.3 Optical I/O for AI Interconnect CPO Forecast (Revenue/Market Size)      73
    • 1.26.4 CPO Network Switches for AI Accelerators Forecast (Units Shipped)      74
    • 1.26.5 CPO Network Switches for AI Accelerators Forecast (Market Size and Revenue)             75
    • 1.26.6 Total CPO Market Overview  76
    • 1.26.7 Total CPO by Different EIC/PIC Integration Technology (Unit Shipments)              77
    • 1.26.8 System Integration of Network Switches by Packaging Technologies       78
    • 1.26.9 System Integration of Optical I/O Forecast by Packaging Technologies  79
  • 1.27     Co-packaged optics (CPO) industrial ecosystem  79
    • 1.27.1 PIC Design Segment  79
    • 1.27.2 ASIC and xPU Design Segment           80
    • 1.27.3 Laser Sources Segment          82
    • 1.27.4 SOI Wafer and Epi-Wafer Segment  82
    • 1.27.5 EIC, Retimers, SerDes, and PHY Segment  83
    • 1.27.6 Connectors and Fibers Segment      84
    • 1.27.7 Foundries Segment    84
    • 1.27.8 Packaging, Assembling, and Testing Segment         85
    • 1.27.9 System and Equipment Segment     86
    • 1.27.10              End Customers (Hyperscalers) Segment    86
    • 1.27.11              Ecosystem Interdependencies and Strategic Implications              87

 

2             CHALLENGES AND SOLUTIONS FOR FUTURE AI SYSTEMS            90

  • 2.1        The Rise and Challenges of Large Language Models (LLMs)           90
    • 2.1.1    The Explosive Growth of AI and Generative AI           90
      • 2.1.1.1 Historical Context and Acceleration               90
      • 2.1.1.2 Compute Demand Scaling   90
      • 2.1.1.3 Generative AI Market Expansion       90
    • 2.1.2    Modern High-Performance AI Data Centre Requirements               92
      • 2.1.2.1 Compute Density Requirements      92
      • 2.1.2.2 Network Topology Requirements      92
      • 2.1.2.3 Availability and Reliability Requirements    92
    • 2.1.3    NVIDIA's State-of-the-Art AI Systems             93
      • 2.1.3.1 DGX H100 and HGX H100     93
    • 2.1.4    Switches: Key Components in Modern Data Centres          95
      • 2.1.4.1 Switch Hierarchy in AI Data Centres               95
  • 2.2        Scale-Up, Scale-Out, and Scale-Across Networks               96
    • 2.2.1    Scale-Up Networks: GPU-to-GPU Interconnects   96
      • 2.2.1.1 NVIDIA NVLink Implementation        96
      • 2.2.1.2 CPO Value Proposition for Scale-Up               97
    • 2.2.2    Scale-Out Networks: Rack-to-Rack Communications      98
      • 2.2.2.1 Ethernet-Based Scale-Out    98
      • 2.2.2.2 InfiniBand for AI            98
      • 2.2.2.3 CPO Value Proposition for Scale-Out            98
    • 2.2.3    Scale-Up, Scale-Out, and Scale-Across Comparison        99
  • 2.3        Challenges in Network Switch Interconnects for High-End Data Centres              100
    • 2.3.1    Roadmap of Interconnect Technology for Network Switches in High-End Data Centres              100
      • 2.3.1.1 Technology Generations         100
    • 2.3.2    SerDes Bottleneck in High-Bandwidth Systems     102
      • 2.3.2.1 SerDes Function          102
      • 2.3.2.2 Channel Loss Challenges      102
    • 2.3.3    Solutions to SerDes Bottlenecks in High-Bandwidth Systems      103
      • 2.3.3.1 Linear-Drive Electronics         103
      • 2.3.3.2 Near-Package Optics                103
      • 2.3.3.3 Co-Packaged Optics 103
    • 2.3.4    Pluggable Optics: Current Bottlenecks and Limitations   104
      • 2.3.4.1 Form Factor Constraints        104
      • 2.3.4.2 Electrical Interface Limitations          104
      • 2.3.4.3 Thermal Management Challenges   104
      • 2.3.4.4 Serviceability Trade-offs        104
    • 2.3.5    On-Board Optics (OBO)          105
    • 2.3.6    Co-Packaged Optics (CPO)  106
      • 2.3.6.1 CPO Architecture        106
      • 2.3.6.2 Key Enabling Technologies    107
      • 2.3.6.3 Performance Benefits              107
      • 2.3.6.4 Implementation Challenges 107
    • 2.3.7    Transmission Losses in Pluggable Optical Transceiver Connections        108
      • 2.3.7.1 Total Path Loss             108
    • 2.3.8    Pluggable Optics vs. CPO      109
    • 2.3.9    Design Decisions for CPO Compared to Pluggables           110
    • 2.3.10 Advancements in Switch IC Bandwidth and the Need for CPO Technology          111
      • 2.3.10.1            Bandwidth Scaling Trajectory              111
      • 2.3.10.2            Physical Constraints at Scale              111
    • 2.3.11 L2 Frontside Network Architecture Diagram: CPO vs. Non-CPO 112
  • 2.4        Challenges in Compute Switch Interconnects (Optical I/O) for High-End Data Centres              113
    • 2.4.1    Number of Copper Wires in Current AI System Interconnects       113
      • 2.4.1.1 NVLink Copper Cable Count               113
      • 2.4.1.2 SuperPOD Cable Complexity              113
    • 2.4.2    Limitations of Current Copper Systems in AI            114
    • 2.4.3    NVIDIA's Connectivity Choices: Copper vs. Optical for High-Bandwidth Systems          115
      • 2.4.3.1 Current Generation: Copper-Centric             116
      • 2.4.3.2 Transition Generation: Hybrid Approach     116
      • 2.4.3.3 Future Generation: Optical-First       116
      • 2.4.3.4 Strategic Implications              116
    • 2.4.4    Copper vs. Optical for High-Bandwidth Systems: Benchmark      116
    • 2.4.5    Migration from Copper to Optical Interconnects for High-End AI Systems            117
    • 2.4.6    Current AI System Architecture          118
    • 2.4.7    L1 Backside Compute Architecture with Copper Systems              119
    • 2.4.8    L1 Backside Compute Architecture with Optical Interconnect: Co-Packaged Optics (CPO)    120
    • 2.4.9    Opportunities for Swapping Copper to Optical       120
  • 2.5        Future AI Systems in High-End Data Centres            121
    • 2.5.1    Power Efficiency Comparison: CPO vs. Pluggable Optics vs. Copper Interconnects      121
      • 2.5.1.1 Power Consumption Breakdown      121
    • 2.5.2    Latency of 60cm Data Transmission Technology Benchmark        123
    • 2.5.3    Future AI Architecture (Short to Mid-Term) 123
    • 2.5.4    Future AI Architecture (Long-Term)  125

 

3             INTRODUCTION TO CO-PACKAGED OPTICS (CPO)             128

  • 3.1        Photonic Integrated Circuits (PICs) Key Concepts 128
    • 3.1.1    What are Photonic Integrated Circuits (PICs)?         128
      • 3.1.1.1 Fundamental Definition         128
      • 3.1.1.2 Material Platforms      128
      • 3.1.1.3 Integration Levels        128
    • 3.1.2    PICs vs. Silicon Photonics: What are the Differences?       130
      • 3.1.2.1 Silicon Photonics: A Specific Implementation         130
      • 3.1.2.2 Why Silicon Photonics Dominates CPO       130
    • 3.1.3    PIC Architecture           131
      • 3.1.3.1 Transmit Path Architecture    131
      • 3.1.3.2 Receive Path Architecture     132
      • 3.1.3.3 Supporting Functions               132
    • 3.1.4    Advantages and Challenges of PICs               133
  • 3.2        Optical Engine (OE)   134
    • 3.2.1    What is an Optical Engine?   134
      • 3.2.1.1 Optical Engine Composition               134
      • 3.2.1.2 Optical Engine vs. Pluggable Transceiver    135
    • 3.2.2    How an Optical Engine Works            135
      • 3.2.2.1 Transmit Path Operation         135
      • 3.2.2.2 Receive Path Operation          136
      • 3.2.2.3 Critical Performance Parameters     136
    • 3.2.3    Optical Power Supplies           136
      • 3.2.3.1 Why External Laser Sources?              136
      • 3.2.3.2 External Laser Source Architectures              137
      • 3.2.3.3 Optical Power Delivery            137
  • 3.3        Co-Packaged Optics 138
    • 3.3.1    Three Key Concepts in Co-Packaged Optics (CPO)              138
      • 3.3.1.1 Concept 1: Proximity Integration       138
      • 3.3.1.2 Concept 2: Functional Partitioning 138
      • 3.3.1.3 Concept 3: Coherent Ecosystem Development      138
    • 3.3.2    Key Technology Building Blocks for CPO      139
      • 3.3.2.1 Silicon Photonics PIC               139
      • 3.3.2.2 Electronic IC (EIC)      140
      • 3.3.2.3 EIC-PIC Integration    140
      • 3.3.2.4 Fibre Array Units (FAUs)          140
      • 3.3.2.5 External Laser Source              140
      • 3.3.2.6 Advanced Packaging Platform            140
    • 3.3.3    Benefits of CPO: Latency Reduction              142
      • 3.3.3.1 Sources of Latency in Optical Interconnects            142
      • 3.3.3.2 CPO Latency Advantages      142
    • 3.3.4    Benefits of CPO: Power Consumption Reduction  143
      • 3.3.4.1 Power Consumption Breakdown      143
      • 3.3.4.2 Why CPO Consumes Less Power     144
    • 3.3.5    Benefits of CPO: Data Rate Improvements 144
      • 3.3.5.1 Pluggable Scaling Limitations             144
      • 3.3.5.2 CPO Scaling Advantages       145
      • 3.3.5.3 Data Rate Scaling Roadmap               145
    • 3.3.6    Overview of Value Proposition of CPO          145
      • 3.3.6.1 Value for Hyperscale Data Centre Operators            145
      • 3.3.6.2 Value for Network Equipment Vendors         146
      • 3.3.6.3 Value for the Technology Ecosystem              146
    • 3.3.7    Future Challenges in CPO     146
      • 3.3.7.1 Manufacturing and Yield Challenges             146
      • 3.3.7.2 Thermal Management Challenges   146
      • 3.3.7.3 Serviceability and Reliability Challenges    147
      • 3.3.7.4 Ecosystem and Standardisation Challenges            147
      • 3.3.7.5 Cost Challenges          147
  • 3.4        CPO Standards            148
    • 3.4.1    OIF Co-Packaging Framework            148
    • 3.4.2    OIF Standards for 1.6T and 3.2T CPO Module          149
    • 3.4.3    External Laser Small Form Pluggable (ELSFP) Implementation Agreement          150
    • 3.4.4    Telemetry and Management 150
    • 3.4.5    OIF's CEI-112G XSR / XSR+ PAM4     151
    • 3.4.6    UCIe Standard and Its Relationship to CPO              151
    • 3.4.7    The CPO Standards Process in China           152

 

4             PACKAGING FOR CO-PACKAGED OPTICS (CPO)  154

  • 4.1        Introduction to CPO Packaging         154
    • 4.1.1    Key Components to be Packaged in an Optical Transceiver           154
      • 4.1.1.1 Photonic Integrated Circuit (PIC)      154
      • 4.1.1.2 Electronic Integrated Circuit (EIC)   154
      • 4.1.1.3 Laser Source Interface            154
      • 4.1.1.4 Fibre Array Unit (FAU)               154
      • 4.1.1.5 Host ASIC Interface   155
    • 4.1.2    Heterogeneous Integration and Co-Packaged Photonics 155
      • 4.1.2.1 Why Heterogeneous Integration for CPO?  155
      • 4.1.2.2 Heterogeneous Integration Approaches for CPO   156
      • 4.1.2.3 Integration Hierarchy for CPO             156
    • 4.1.3    CPO for Network Switch: Packaging Concept          156
      • 4.1.3.1 Switch Architecture with CPO            156
      • 4.1.3.2 Package Configuration Options         157
      • 4.1.3.3 Packaging Requirements for Switch CPO    157
    • 4.1.4    1.6 Tbps Co-Packaged Optics for Network Switch                157
      • 4.1.4.1 Integration Approach                158
    • 4.1.5    CPO as Optical I/O for XPUs: Packaging Concept 159
      • 4.1.5.1 The Scale-Up Interconnect Challenge          159
      • 4.1.5.2 XPU-CPO Packaging Concept             159
      • 4.1.5.3 Implementation Approaches              159
      • 4.1.5.4 NVIDIA's Approach to XPU Optical I/O          163
      • 4.1.5.5 Packaging Implications for XPU Optical I/O               163
      • 4.1.5.6 System Architecture Evolution           163
    • 4.1.6    CPO Integration for Compute Silicon             164
      • 4.1.6.1 System Configuration              164
      • 4.1.6.2 Integration Architecture          165
      • 4.1.6.3 Thermal Partitioning 165
      • 4.1.6.4 Enabled Architectures             165
    • 4.1.7    Overview of CPO Packaging Technologies  165
  • 4.2        Overview and Development Roadmap of 2.5D and 3D Advanced Semiconductor Packaging Technologies  167
    • 4.2.1    Evolution Roadmap of Semiconductor Packaging 167
    • 4.2.2    Semiconductor Packaging Overview             168
    • 4.2.3    Key Metrics for Advanced Semiconductor Packaging Performance          171
    • 4.2.4    Overview of Interconnection Techniques in Semiconductor Packaging 175
    • 4.2.5    Overview of 2.5D Packaging Structure          178
    • 4.2.6    2.5D Package Components 178
    • 4.2.7    Benefits for CPO          178
    • 4.2.8    Challenges for CPO   178
  • 4.3        2.5D Silicon-Based Packaging Technologies            179
    • 4.3.1    2.5D Packaging Involving Silicon as Interconnect  179
    • 4.3.2    Silicon Interposer Technology             179
    • 4.3.3    Silicon Bridge Technology      179
    • 4.3.4    CPO Implications        180
    • 4.3.5    Through-Silicon Via (TSV): Current State and Future            184
      • 4.3.5.1 TSV Fabrication Process         184
      • 4.3.5.2 TSV Technology Generations               185
      • 4.3.5.3 TSV Challenges for CPO         185
      • 4.3.5.4 Future TSV Development        186
    • 4.3.6    Development Trends for 2.5D Silicon-Based Packaging   188
      • 4.3.6.1 Interposer Size Scaling            188
      • 4.3.6.2 Routing Density Advancement           188
      • 4.3.6.3 Cost Reduction Initiatives     188
      • 4.3.6.4 Integration with Advanced Features                188
    • 4.3.7    Silicon Interposer vs. Silicon Bridge Benchmark    192
      • 4.3.7.1 Implications for CPO 193
  • 4.4        2.5D Organic-Based Packaging Technologies          194
    • 4.4.1    2.5D Packaging: High-Density Fan-Out (FO) Packaging    194
      • 4.4.1.1 Fan-Out Technology Concept             194
      • 4.4.1.2 High-Density Fan-Out Variants          194
      • 4.4.1.3 Advantages for CPO  194
      • 4.4.1.4 Challenges for CPO   194
    • 4.4.2    Redistribution Layer (RDL)    194
      • 4.4.2.1 RDL Fabrication Process        194
      • 4.4.2.2 RDL Design Considerations for CPO              195
    • 4.4.3    Electronic Interconnects: SiO2 vs. Organic Dielectric         196
    • 4.4.4    Panel Level Fab-Out  198
      • 4.4.4.1 Panel-Level Processing           198
      • 4.4.4.2 Advantages for CPO  198
      • 4.4.4.3 Challenges for CPO   198
    • 4.4.5    Wafer Level Fan-Out 199
      • 4.4.5.1 Wafer-Level Processing          199
      • 4.4.5.2 Advantages for WLFO               199
      • 4.4.5.3 Challenges for WLFO                200
    • 4.4.6    Wafer-Level Fan-Out vs. Panel-Level Fan-Out         200
      • 4.4.6.1 Selection Criteria for CPO     201
    • 4.4.7    Key Trends in Fan-Out Packaging     201
    • 4.4.8    Challenges in Future Fan-Out Processes    203
      • 4.4.8.1 Die Shift and Placement Accuracy   203
      • 4.4.8.2 Warpage Control         203
      • 4.4.8.3 Yield and Cost               203
      • 4.4.8.4 High-Frequency Performance             204
  • 4.5        2.5D Glass-Based Packaging Technologies               206
    • 4.5.1    Roles of Glass in Semiconductor Packaging            206
      • 4.5.1.1 Glass Properties Relevant to Packaging      206
      • 4.5.1.2 Applications in Packaging     207
      • 4.5.1.3 Glass Core as Interposer for Advanced Semiconductor Packaging          208
    • 4.5.2    Overcoming Limitations of Silicon Interposers with Glass              210
      • 4.5.2.1 Size Limitation              210
      • 4.5.2.2 Optical Opacity            210
      • 4.5.2.3 Dielectric Loss              210
      • 4.5.2.4 Cost Structure               210
      • 4.5.2.5 Remaining Silicon Advantages           210
    • 4.5.3    Glass vs. Molding Compound             211
      • 4.5.3.1 Implications for CPO 212
    • 4.5.4    Glass Core (Interposer) Package: Process Flow     212
    • 4.5.5    Challenges of Glass Packaging         214
      • 4.5.5.1 Handling and Breakage           214
      • 4.5.5.2 Via Formation and Metallisation       214
      • 4.5.5.3 Thermal Conductivity               214
      • 4.5.5.4 RDL Adhesion                214
      • 4.5.5.5 Warpage Control         214
  • 4.6        3D Advanced Semiconductor Packaging Technologies     220
    • 4.6.1    Evolution of Bumping Technologies 220
      • 4.6.1.1 Solder Bumps (C4)     220
      • 4.6.1.2 Copper Pillar Bumps 220
      • 4.6.1.3 Micro-Bumps 220
      • 4.6.1.4 Hybrid Bonding (Bumpless) 220
    • 4.6.2    Challenges in Scaling Bumps             220
      • 4.6.2.1 Mechanical Challenges          220
      • 4.6.2.2 Electrical Challenges               221
      • 4.6.2.3 Manufacturing Challenges   221
      • 4.6.2.4 Implications for CPO 221
    • 4.6.3    Micro-Bump for Advanced Semiconductor Packaging      224
      • 4.6.3.1 Micro-Bump Structure             224
    • 4.6.4    Bumpless Cu-Cu Hybrid Bonding    224
      • 4.6.4.1 Hybrid Bonding Concept        224
      • 4.6.4.2 Process Fundamentals           224
      • 4.6.4.3 Key Characteristics   224
      • 4.6.4.4 Benefits for CPO          225
    • 4.6.5    Three Ways of Cu-Cu Hybrid Bonding: Benchmark              225
      • 4.6.5.1 Die-to-Die (D2D)         225
      • 4.6.5.2 Die-to-Wafer (D2W)  225
      • 4.6.5.3 Wafer-to-Wafer (W2W)            225
    • 4.6.6    Challenges in Cu-Cu Hybrid Bonding Manufacturing Process      227
  • 4.7        CPO Packaging: EIC and PIC Integration      231
    • 4.7.1    EIC/PIC Integration by Conventional Interconnect Techniques    231
      • 4.7.1.1 Wire Bond Integration               231
      • 4.7.1.2 Flip-Chip Integration (2D)      232
    • 4.7.2    EIC/PIC Integration by Emerging Interconnect Techniques              234
      • 4.7.2.1 2.5D Interposer Integration   234
      • 4.7.2.2 3D Micro-Bump Stacking       234
      • 4.7.2.3 3D Hybrid Bonding     234
    • 4.7.3    2D to 3D EIC/PIC Integration Options            236
      • 4.7.3.1 Technology Transition Drivers             238
      • 4.7.3.2 2D to 3D Integration Evolution            239
    • 4.7.4    Integration Roadmap by CPO Segment        240
    • 4.7.5    Benchmarking of Different Packaging Technologies for EIC/PIC  241
    • 4.7.6    Pros and Cons of 2D Integration of EIC/PIC               241
    • 4.7.7    Pros and Cons of 2.5D Integration of EIC/PIC           242
    • 4.7.8    Pros and Cons of 3D Hybrid Integration of EIC/PIC               243
    • 4.7.9    Pros and Cons of 3D Monolithic Integration of EIC/PIC      244
  • 4.8        TSV for EIC/PIC Integration   245
    • 4.8.1    TSV for EIC/PIC Integration in CPO  245
      • 4.8.1.1 TSV Configurations for EIC/PIC          245
      • 4.8.1.2 Design Considerations            245
    • 4.8.2    Benefits of TSV for PIC/EIC Integration          246
    • 4.8.3    Cisco Packaging Architectures of Optical Engine Over Generations         247
    • 4.8.4    Cisco: 2.5D Chip-on-Chip (CoC) Packaging Architecture for EIC/PIC Integration            248
      • 4.8.4.1 Architecture Description        248
      • 4.8.4.2 Manufacturing Considerations          248
    • 4.8.5    Cisco: 3D TSV for PIC/EIC Integration            249
      • 4.8.5.1 Architecture Description        249
      • 4.8.5.2 Benefits of TSV Integration    249
      • 4.8.5.3 Manufacturing Considerations          249
    • 4.8.6    Key TSV Fabrication Steps and Challenges in CPO               249
      • 4.8.6.1 Fabrication Process Flow      250
    • 4.8.7    Packaging Options for Silicon Photonics     251
    • 4.8.8    Pros and Cons of 2.5D Si Interposer for EIC/PIC Integration           251
  • 4.9        Fan-Out for EIC/PIC Integration         252
    • 4.9.1    ASE's Proposed Fan-Out Solution for CPO Packaging        252
      • 4.9.1.1 ASE Fan-Out CPO Concept  252
    • 4.9.2    FOPOP from ASE: Process    253
    • 4.9.3    Analysis of FOPOP vs. Wire Bond Packaging for CPO          254
    • 4.9.4    Optical Packaging Process Considerations for Silicon Photonics - ASE  255
    • 4.9.5    SPIL's Fan-Out Embedded Bridge (FOEB) Structure for PIC/EIC Integration in CPO        256
    • 4.9.6    Process Flow of Integrating PIC and EIC in a FOEB Structure         257
    • 4.9.7    Process Challenges in Packaging Optical Engines                258
    • 4.9.8    Challenges of Using Fan-Out for EIC/PIC Integration          258
  • 4.10     Glass-Based CPO Packaging Technologies               259
    • 4.10.1 Glass-Based Co-Packaged Optics  259
      • 4.10.1.1            Corning's Glass CPO Vision 259
    • 4.10.2 Glass CPO Package Architecture      260
    • 4.10.3 Glass-Based CPO Process Development    261
      • 4.10.3.1            Corning's 102.4 Tb/s Test Vehicle Demonstration 262
  • 4.11     Hybrid Bonding for EIC/PIC Integration         262
    • 4.11.1 TSMC: Integrated HPC Technology Platform for AI 262
    • 4.11.2 iOIS: Integrated Optical Interconnection System from TSMC        263
    • 4.11.3 Combining EIC and PIC with 3D SoIC Bond               264
    • 4.11.4 Roadmap of Bond Pitch Scaling        265
  • 4.12     System Integration of Optical Engine and ASIC/XPU            266
    • 4.12.1 Co-Packaging vs. Co-Packaged Optics (CPO)         266
    • 4.12.2 Three Types of CPO + XPU/Switch ASIC Packaging Structures      267
      • 4.12.2.1            Type 1: 2D/2.5D Peripheral Integration          267
      • 4.12.2.2            Type 2: 2.5D with Embedded Bridge               267
      • 4.12.2.3            Type 3: 3D Stacked Integration           267
  • 4.13     Future 3D-CPO Structure       268
    • 4.13.1 Future 3D-CPO Architecture Vision 268
    • 4.13.2 NVIDIA's 3D Integration of SoC, HBM, EIC, and PIC on Co-Packaged Substrates             272
      • 4.13.2.1.1        Architecture Overview             272
      • 4.13.2.1.2        Integration Approach                272
      • 4.13.2.1.3        Key Innovations            272
  • 4.14     Optical Alignment and Laser Integration     273
    • 4.14.1 How CPO is Built and the Bottleneck             273
    • 4.14.2 The fibre attach bottleneck   273
    • 4.14.3 Interface Between Coupler and FAU              274
    • 4.14.4 Grating vs. Edge Couplers: Challenges in High-Density Optical I/O for Silicon Photonics          275
    • 4.14.5 Challenges in High-Density Optical I/O for Silicon Photonics       276
  • 4.15     Fiber Array Unit (FAU)               277
    • 4.15.1 Optical Alignment Challenges and Solutions           277
    • 4.15.2 Two Alignment Approaches 278
    • 4.15.3 Reducing Optical Fiber Packaging Complexity        279
    • 4.15.4 Key Technical Challenges      279
      • 4.15.4.1            The Size Mismatch Between Silicon Waveguides and Planar Optical Fibers        279
    • 4.15.5 Fiber Attach Methods               280
    • 4.15.6 Key Players in FAU for CPO   282
    • 4.15.7 Benchmark of Optical Fiber Alignment Structure Variations          282
    • 4.15.8 Suppliers of Other Optical Components in CPO    284
  • 4.16     Suppliers of Other Optical Components in CPO    284
  • 4.17     Laser Integration          289
    • 4.17.1 On-Chip Light Source Integration Methods                289
    • 4.17.2 External Lasers for CPO          290
    • 4.17.3 Laser Attach Technology Benchmark            294
    • 4.17.4 Benchmark of Different Laser Integration Technologies    295

 

5             CO-PACKAGED OPTICS MARKET ANALYSIS               297

  • 5.1        CPO Market Definition and Scope    297
  • 5.2        CPO Market Size and Growth Projections   297
  • 5.3        Switch CPO Market Analysis               298
    • 5.3.1    Market Overview and Drivers               298
    • 5.3.2    Deployment Timeline and Adoption Phases             298
    • 5.3.3    Volume Projections and Market Sizing          298
    • 5.3.4    Market Concentration and Regional Distribution   299
    • 5.3.5    Pricing Trajectory and Cost Dynamics          300
  • 5.4        XPU Optical I/O Market Analysis       300
    • 5.4.1    Market Drivers and Value Proposition           300
    • 5.4.2    Adoption Timeline and Platform Evolution 301
    • 5.4.3    Volume and Revenue Projections     301
    • 5.4.4    Market Segmentation by Platform    302
    • 5.4.5    Technology Requirements and Differentiation         302
  • 5.5        CPO Pricing and Cost Analysis          303
    • 5.5.1    Current Pricing Landscape   303
    • 5.5.2    Cost Trajectory and Reduction Drivers          303
    • 5.5.3    Cost Parity Timeline and Dynamics 304
    • 5.5.4    Pricing Strategy Implications               305
  • 5.6        Regional Market Dynamics   305
    • 5.6.1    North America              305
    • 5.6.2    Asia-Pacific    306
    • 5.6.3    Europe                307
    • 5.6.4    Rest of World 307
  • 5.7        Total Addressable Market Analysis  308
    • 5.7.1    Core TAM Segments  308
    • 5.7.2    Serviceable Addressable Market (SAM)       309
  • 5.8        Market Forecast by Component        310
  • 5.9        Market Forecast by Technology Generation               311
    • 5.9.1    Optical Engine Bandwidth Evolution              311
    • 5.9.2    Generation Lifecycle Analysis            311
  • 5.10     Market Restraints and Barriers           312
    • 5.10.1 Manufacturing Yield and Cost            312
    • 5.10.2 Serviceability and Field Replacement Concerns    313
    • 5.10.3 Standards Maturity and Interoperability       314
    • 5.10.4 Supply Chain Capacity Constraints               314
    • 5.10.5 Competitive Alternatives        315
  • 5.11     Adoption Curve Analysis        316
    • 5.11.1 Technology Adoption Framework     316
      • 5.11.1.1            Innovators (2024-2026)          316
      • 5.11.1.2            Early Adopters (2026-2028) 317
      • 5.11.1.3            Early Majority (2028-2031)   318
      • 5.11.1.4            Late Majority (2031-2034)     318
      • 5.11.1.5            Laggards (2034+)        319
    • 5.11.2 Segment-Specific Adoption Curves                319
  • 5.12     Adoption Accelerators and Inhibitors            320
    • 5.12.1 Adoption Curve Implications               320
  • 5.13     Competitive Landscape Evolution   321
    • 5.13.1 Current Competitive Positioning      321
    • 5.13.2 Integrated Device Manufacturers (IDMs)     321
    • 5.13.3 Silicon Photonics Specialists              321
    • 5.13.4 Foundry/OSAT Providers         321
    • 5.13.5 System Vendors           321
    • 5.13.6 Laser Suppliers             322
    • 5.13.7 Competitive Dynamics and Market Structure Evolution    322
      • 5.13.7.1            Near-Term Dynamics (2025-2028)  322
        • 5.13.7.1.1        Expected Evolution (2028)    323
      • 5.13.7.2            Mid-Term Dynamics (2028-2032)     323
        • 5.13.7.2.1        Expected Evolution (2032)    323
      • 5.13.7.3            Long-Term Dynamics (2032-2036)  323
        • 5.13.7.3.1        Expected Evolution (2036)    324
    • 5.13.8 Vertical Integration Trends    324
      • 5.13.8.1            Integration Strategy Framework         324
        • 5.13.8.1.1        Full Vertical Integration (Broadcom, Intel Model)   324
        • 5.13.8.1.2        Partial Integration (Cisco, NVIDIA Model)    325
        • 5.13.8.1.3        Fabless/Assembly-Light (Ayar Labs, Ranovus Model)         325
        • 5.13.8.1.4        Platform Provider (TSMC Model)       326
      • 5.13.8.2            Strategic Implications of Integration Trends              327
  • 5.14     Scenario Analysis       328
    • 5.14.1 Scenario Framework 328
    • 5.14.2 Scenario Definitions 328
    • 5.14.3 Bull Case Scenario     328
    • 5.14.4 Base Case Scenario  329
    • 5.14.5 Bear Case Scenario   330
    • 5.14.6 Scenario Comparison and Key Variables    332

 

6             GLOBAL MARKET TRENDS IN DATACOM     333

  • 6.1        Introduction to DATACOM Market Dynamics            333
    • 6.1.1    Overview of the Data Communications Market       333
      • 6.1.1.1 Market Definition and Scope               333
      • 6.1.1.2 Market Size and Growth          333
    • 6.1.2    Key Market Drivers      333
      • 6.1.2.1 Artificial Intelligence and Machine Learning             333
      • 6.1.2.2 Cloud Computing Growth     334
      • 6.1.2.3 Data Growth   334
      • 6.1.2.4 Power and Sustainability Pressures                334
  • 6.2        Application Trends     335
    • 6.2.1    AI and Machine Learning Workload Growth               335
      • 6.2.1.1 The AI Training Revolution     335
      • 6.2.1.2 Training Cluster Architecture Evolution        335
      • 6.2.1.3 AI Inference Deployment        335
      • 6.2.1.4 Market Quantification              336
      • 6.2.1.5 Implications for CPO 336
    • 6.2.2    Hyperscale Data Centre Expansion 336
      • 6.2.2.1 Defining Hyperscale  336
    • 6.2.3    Global Hyperscale Capacity                336
    • 6.2.4    Regional Distribution                337
    • 6.2.5    Hyperscaler Investment Trends         337
      • 6.2.5.1 Capital expenditure acceleration     337
      • 6.2.5.2 AI-Specific Infrastructure       337
      • 6.2.5.3 Implications for CPO 337
    • 6.2.6    Edge Computing and Distributed AI                337
      • 6.2.6.1 Market Growth              338
    • 6.2.7    Edge AI Applications 338
    • 6.2.8    Edge Network Architecture   338
  • 6.3        Technology Trends      339
    • 6.3.1    Technology Trends Overview               339
      • 6.3.1.1 Key Technology Vectors          339
      • 6.3.1.2 Technology Interdependencies          339
    • 6.3.2    Technology Trends: Packaging           340
    • 6.3.3    Universal Chiplet Interconnect Express (UCIe)       341
    • 6.3.4    Laser Sources for CPO            341
    • 6.3.5    External vs. Integrated Laser                342

 

7             MARKET OUTLOOK    344

  • 7.1        Scale-Out Outlook     344
    • 7.1.1    Scale-Out CPO Market Evolution     344
      • 7.1.1.1 Scale-Out Market Drivers       344
      • 7.1.1.2 Market Evolution Phases        344
      • 7.1.1.3 Scale-Out CPO Market Forecast       344
    • 7.1.2    Scale-Out Technology Roadmap      345
      • 7.1.2.1 Technology Generation Evolution     345
      • 7.1.2.2 Technology Enablers by Generation                346
    • 7.1.3    Scale-Out Key Players and Competitive Landscape            346
  • 7.2        Scale-Up Outlook       347
    • 7.2.1    Scale-Up CPO Market Evolution       347
    • 7.2.2    Copper to Optical Transition               347
    • 7.2.3    Optical I/O Solution   348
    • 7.2.4    Scale-Up CPO Market Forecast         348
    • 7.2.5    Market Evolution Phases        348
    • 7.2.6    Scale-Up Technology Roadmap        349
      • 7.2.6.1 NVIDIA Optical I/O Evolution               350
      • 7.2.6.2 AMD Optical I/O Evolution    350
      • 7.2.6.3 Custom Silicon Optical I/O   350
    • 7.2.7    Scale-Up Key Players and Competitive Landscape              352
      • 7.2.7.1 Competitive Landscape Overview   352
  • 7.3        High-Density Connectors      352
    • 7.3.1    High-Density Connectors vs. CPO   352
      • 7.3.1.1 Scenario 1: Connectors Enable Extended Pluggable (Low CPO Impact) 352
      • 7.3.1.2 Scenario 2: Connectors Complement CPO (Moderate Impact)   353
      • 7.3.1.3 Scenario 3: Connectors Enable "Near-Packaged" Optics (Moderate CPO Impact)         353
      • 7.3.1.4 Scenario 4: Connector Development Delays (Positive CPO Impact)        353
  • 7.4        Emerging Supply Chain Dynamics   357
    • 7.4.1    Geographic Concentration in CPO Supply Chains                358
  • 7.5        Third-Party Suppliers and Systems Integrators        360
    • 7.5.1    Multi-Tier Supply Chain Architecture              360
      • 7.5.1.1 Tier 1: Silicon Photonics Platform     360
      • 7.5.1.2 Tier 2: CPO Assembly (OSAT)              361
      • 7.5.1.3 Tier 3: Fiber Array Unit (FAU) Suppliers          361
      • 7.5.1.4 Tier 4: External Laser Source (ELS) Suppliers            362
      • 7.5.1.5 Tier 5: Optical Fiber Supply   362
      • 7.5.1.6 Tier 6: Optical Sub-Assembly Integration    362
    • 7.5.2    Strategic Implications for Supply Chain Participants          362

 

8             COMPANY PROFILES                364 (61 company profiles)

 

9             APPENDIX        430

  • 9.1        Research Methodology and Data Sources  430

 

10          REFERENCES 431

 

List of Tables

  • Table 1. CPO Market Drivers and Restraints Analysis         37
  • Table 2. Key Data Centre Architecture Challenges Summary        41
  • Table 3. Key Data Centre Architecture Challenges Summary.       44
  • Table 4. Form Factor Evolution and Density Comparison 46
  • Table 5. Optical Transceiver Power Consumption by Generation 47
  • Table 6. Technology Migration Decision Framework             47
  • Table 7. CPO vs. Pluggables Decision Matrix             49
  • Table 8. Semiconductor Packaging Interconnection Techniques Overview          54
  • Table 9. CPO Application Segmentation (Scale-Out vs. Scale-Up)             56
  • Table 10. EIC/PIC Integration Methods Comparison           57
  • Table 11. Integration Technology Selection Criteria              61
  • Table 12. Detailed Technical Comparison: 2D vs 2.5D vs 3D         62
  • Table 13. 3D Integration Sub-Categories Comparison       62
  • Table 14. Packaging Technology Benchmark for EIC/PIC Integration        63
  • Table 15. CPO Technology Challenges and Mitigation Strategies 68
  • Table 16. NVIDIA vs. Broadcom Strategic Positioning Comparison           69
  • Table 17. NVIDIA vs. Broadcom CPO Product Specifications Benchmark             70
  • Table 18. Server Boards, CPUs, and GPU/Accelerator Forecast (2026-2036)     72
  • Table 19. Optical I/O CPO Unit Shipment Forecast (2026-2036) 73
  • Table 20. Optical I/O CPO Revenue Forecast (2026-2036)              73
  • Table 21. CPO Network Switch Unit Shipment Forecast    74
  • Table 22. CPO Network Switch Revenue Forecast (2026-2036)   75
  • Table 23. Total CPO Market Size and Revenue (2026-2036)            76
  • Table 24. CPO Unit Shipments by Integration Technology 77
  • Table 25. Network Switch CPO Adoption by Packaging Technology           78
  • Table 26. Optical I/O Forecast by Packaging Technology  79
  • Table 27. PIC Design Segment - Key Players and Capabilities       80
  • Table 28. ASIC and xPU Design Segment - Key Players and CPO Integration Strategies                81
  • Table 29. Laser Sources Segment - Key Suppliers and Technologies        82
  • Table 30. SOI Wafer and Epi-Wafer Segment - Substrate Suppliers            83
  • Table 31. EIC, Retimers, SerDes, and PHY Segment - High-Speed Electronics Suppliers           83
  • Table 32. Connectors and Fibers Segment - Optical Infrastructure Suppliers     84
  • Table 33. Foundries Segment - Silicon Photonics and Advanced Packaging Capabilities          85
  • Table 34. Packaging, Assembling, and Testing Segment - OSAT and Test Equipment Providers              85
  • Table 35. System and Equipment Segment - OEMs and ODMs    86
  • Table 36. End Customers (Hyperscalers) Segment - Data Centre Operators and AI Leaders    87
  • Table 37. CPO Industrial Ecosystem Summary - Complete Value Chain Overview         88
  • Table 38. AI Model Parameter and Compute Growth (2018-2030)             90
  • Table 39. Global AI Training Compute Demand Growth     91
  • Table 40. AI Data Centre Requirements by Workload Type               93
  • Table 41. Switch Hierarchy in AI Data Centres          96
  • Table 42. Scale-Up vs. Scale-Out vs. Scale-Across Comparison Matrix 99
  • Table 43. SerDes Bandwidth Limitations and Power Consumption           102
  • Table 44. SerDes Bottleneck Solutions Comparison           103
  • Table 45. Pluggable Optics Architecture and Limitations 104
  • Table 46. Signal Loss Comparison: Pluggable vs. CPO (dB)            109
  • Table 47. Comprehensive Pluggable vs. CPO Comparison             109
  • Table 48. Design Decision Framework for CPO Adoption 110
  • Table 49. L2 Network Architecture Comparison     112
  • Table 50.Copper Wire Count in Current AI Systems             113
  • Table 51. Copper Interconnect Specifications by System 114
  • Table 52. Copper System Limitations Summary     115
  • Table 53. Copper vs. Optical Performance Benchmark     116
  • Table 54. Power Consumption by Interconnect Technology            122
  • Table 55. Power Consumption Component Breakdown: Pluggable vs. CPO (400G)       122
  • Table 56. Latency Benchmark Comparison               123
  • Table 57. PIC Component Overview               129
  • Table 58. PICs vs. Silicon Photonics Comparison 130
  • Table 59. Silicon Photonics vs. Other PIC Platforms: Capability Comparison    130
  • Table 60. PIC Advantages and Challenges Summary          134
  • Table 61. Optical Engine vs. Pluggable Transceiver Comparison 135
  • Table 62. External Laser Source Configurations     137
  • Table 63. CPO Technology Building Blocks 141
  • Table 64. CPO Technology Components and Suppliers     141
  • Table 65. Latency Comparison: Pluggable vs. CPO              143
  • Table 66. Data Rate Scaling: Pluggable vs. CPO      145
  • Table 67. CPO Value Proposition Summary               146
  • Table 68. CPO Technical Challenges and Mitigation Approaches               147
  • Table 69. OIF CPO Standards Development Timeline         148
  • Table 70. OIF CPO Framework Functional Partitioning      149
  • Table 71. OIF CPO Module Specifications by Generation 149
  • Table 72. ELSFP Implementation Agreement Key Specifications 150
  • Table 73. CPO Telemetry and Management Requirements              150
  • Table 74. OIF CEI Specifications for CPO Applications      151
  • Table 75. UCIe Specifications and CPO Relationship         152
  • Table 76. China CPO Standards Landscape              152
  • Table 77. CPO Component Packaging Requirements         155
  • Table 78. Switch CPO Package Specifications (Representative)  157
  • Table 79. 1.6 Tbps Optical Engine Performance      158
  • Table 80. XPU Optical I/O Requirements     159
  • Table 81. Advanced Optical I/O Integration Approaches   161
  • Table 82.Overview of CPO Packaging Technologies             166
  • Table 83. Semiconductor Packaging Technology Landscape         170
  • Table 84. Packaging Technology Comparison for CPO        171
  • Table 85. Advanced Packaging Performance Metrics          172
  • Table 86. Overview of Interconnection Techniques in Semiconductor Packaging            176
  • Table 87.  Interconnection Technique Comparison for CPO           178
  • Table 88. Silicon Interposer vs. Silicon Bridge Comparison            180
  • Table 89. Silicon-Based 2.5D Packaging Options  181
  • Table 90. TSV Specifications by Application              184
  • Table 91. TSV Fabrication Process Steps     184
  • Table 92.TSV Technology Evolution  185
  • Table 93. TSV Challenges for CPO Applications      185
  • Table 94. TSV Technology Evolution.              187
  • Table 95. 2.5D Silicon Packaging Development Trends      188
  • Table 96. Key Development Areas by Technology Node     190
  • Table 97. Interposer Size Evolution for CPO               190
  • Table 98. 2.5D Silicon Packaging Roadmap by Vendor       192
  • Table 99. Roadmap Milestones for CPO Integration             192
  • Table 100. Si Interposer vs. Si Bridge Comparison 192
  • Table 101. RDL Technology Specifications 195
  • Table 102. SiO2 vs. Organic Dielectric Comparison            197
  • Table 103. WLFO vs. PLFO Comparison      200
  • Table 104. Fan-Out Packaging Trends           202
  • Table 105. Fan-Out Process Challenges      204
  • Table 106. Glass Properties vs. Silicon and Organic.           207
  • Table 107. Glass Applications in Semiconductor Packaging         208
  • Table 108. Glass Core Interposer Characteristics 209
  • Table 109. Glass vs. Silicon Interposer Comparison           211
  • Table 110. Glass Interposer Benefits for CPO           211
  • Table 111. Glass vs. Molding Compound Properties            211
  • Table 112. Glass Packaging Challenges and Solutions      216
  • Table 113. Bumping Technology Evolution 220
  • Table 114. Bump Scaling Challenges             222
  • Table 115. Micro-Bump Specifications and Applications 224
  • Table 116. Cu-Cu Hybrid Bonding Methods Comparison 226
  • Table 117. Hybrid Bonding Method Selection for CPO Applications          226
  • Table 118. Hybrid Bonding Manufacturing Challenges       228
  • Table 119. Hybrid Bonding Process Maturity by Pitch          231
  • Table 120. Critical Process Parameters for Hybrid Bonding            231
  • Table 121. Conventional EIC/PIC Integration Methods       232
  • Table 122. Conventional Method Advantages and Limitations Summary              233
  • Table 123. Emerging EIC/PIC Integration Methods 235
  • Table 124. 2D to 3D EIC/PIC Integration Options   237
  • Table 125. Technology Transition Drivers     239
  • Table 126. 2D to 3D Integration Evolution   240
  • Table 127. Integration Roadmap by CPO Segment                240
  • Table 128. EIC/PIC Packaging Technology Benchmark      241
  • Table 129. 2D EIC/PIC Integration Pros and Cons  241
  • Table 130. 2.5D EIC/PIC Integration Pros and Cons             242
  • Table 131. 3D Hybrid EIC/PIC Integration Pros and Cons 243
  • Table 132. 3D Monolithic EIC/PIC Integration Pros and Cons        244
  • Table 133. Benefits of TSV for PIC/EIC Integration 247
  • Table 134. TSV Fabrication Challenges in CPO        250
  • Table 135. Si Photonics Packaging Options Comparison 251
  • Table 136. 2.5D Si Interposer Pros and Cons for EIC/PIC  251
  • Table 137. FOPOP vs. WB Packaging Comparison 254
  • Table 138. Optical Engine Packaging Process Challenges               258
  • Table 139. Fan-Out EIC/PIC Integration Challenges             258
  • Table 140. Bond Pitch Scaling Challenges  266
  • Table 141. Co-Packaging vs. CPO Definition Comparison               266
  • Table 142. Future 3D-CPO Architecture Vision        268
  • Table 143. Architecture Evolution by Component 269
  • Table 144. 3D-CPO Integration Approaches              269
  • Table 145. Future 3D-CPO Packaging Structure Types       270
  • Table 146. Key Technology Milestones for Future 3D-CPO              270
  • Table 147. Performance Trajectory for Future 3D-CPO      271
  • Table 148. Thermal Management Evolution for 3D-CPO   271
  • Table 149.3D-CPO Vision: NVIDIA Architecture Example 272
  • Table 150. CPO Assembly Process and Bottlenecks            273
  • Table 151. Coupler-FAU Interface Critical Dimensions      274
  • Table 152. Misalignment Loss Characterisation     274
  • Table 153. FAU-PIC Interface Stability Requirements         275
  • Table 154. Grating vs. Edge Coupler Comparison 275
  • Table 155. Grating vs. Edge Coupler Comparison 276
  • Table 156. Optical Alignment Challenges Overview             277
  • Table 157. Active vs. Passive Alignment Comparison         278
  • Table 158. Fiber Attach Methods Comparison        281
  • Table 159. FAU Supplier Landscape               282
  • Table 160. Alignment Structure Benchmark              283
  • Table 161. SENKO Key CPO Solutions           284
  • Table 162. Suppliers of Optical Components in CPO: Comprehensive Overview             285
  • Table 163. Laser Source Supplier Details    289
  • Table 164. On-Chip Laser Integration Approaches               290
  • Table 165. External Laser Configurations for CPO 291
  • Table 166. External Laser Suppliers 293
  • Table 167. Laser Attach Technology Comparison  294
  • Table 168. Comprehensive Laser Integration Benchmark 296
  • Table 169. Global CPO Market Forecast ($ Millions)            297
  • Table 170.Switch CPO Unit Volume Forecast (Thousands of Optical Engines)  299
  • Table 171. Switch CPO Market Forecast by Switch Generation ($M)         299
  • Table 172. CPO Cost Trajectory Projection 300
  • Table 173. XPU Optical I/O Market Forecast              301
  • Table 174. XPU Optical I/O Market Forecast by Platform ($M)       302
  • Table 175. CPO Cost Trajectory Projection 303
  • Table 176. Total Cost of Ownership Comparison (Per 51.2T Switch, 5-Year Lifetime)    304
  • Table 177. North America CPO Market Forecast    305
  • Table 178.Asia-Pacific CPO Market Forecast            306
  • Table 179. Europe CPO Market Forecast     307
  • Table 180. Rest of World CPO Market Forecast       308
  • Table 181. Global CPO Market Summary    308
  • Table 182. CPO Total Addressable Market Quantification 309
  • Table 183.CPO Serviceable Addressable Market    309
  • Table 184. CPO Component Market Forecast ($M)              310
  • Table 185. CPO Market by Optical Engine Generation ($M)             311
  • Table 186. Generation Share Evolution         311
  • Table 187. Manufacturing Yield Improvement Trajectory  313
  • Table 188. CPO Standards Development Timeline               314
  • Table 189. Market Restraints Summary        316
  • Table 190. CPO Adoption Curve by Segment (Penetration of Addressable Market)         319
  • Table 191. CPO Market Share by Participant (2024-2026) 322
  • Table 192. Near-Term Competitive Evolution            323
  • Table 193. Competitive Landscape Evolution Timeline      324
  • Table 194. Vertical Integration Trends by Participant Type                326
  • Table 195. Vertical Integration by Company              326
  • Table 196. Bull Case Market Forecast ($M) 329
  • Table 197. Base Case Market Forecast ($M)             330
  • Table 198. Bear Case Market Forecast ($M)              331
  • Table 199. Scenario Comparison Summary              332
  • Table 200. Global DATACOM Market Size and Growth        333
  • Table 201. DATACOM Market Growth Drivers            334
  • Table 202. Global Hyperscale Data Centre Capacity           336
  • Table 203. Edge Computing Market Growth               338
  • Table 204. DATACOM Technology Trends Summary             339
  • Table 205. Packaging Technology Evolution for DATACOM              340
  • Table 206. UCIe Specifications and Adoption Timeline      341
  • Table 207. Laser Source Technology Trends              342
  • Table 208. Laser Source Comparison for CPO         342
  • Table 209. Scale-Out CPO Market Forecast by Switch Bandwidth ($M)  344
  • Table 210. Scale-Out Technology Enablers by Generation               346
  • Table 211. Scale-Out CPO Competitive Landscape             347
  • Table 212. Scale-Up CPO Market Forecast by Platform ($M)          348
  • Table 213. Scale-Up CPO Market Forecast 349
  • Table 214. Scale-Up CPO Market Evolution Phases             349
  • Table 215. Scale-Up CPO Platform Comparison    349
  • Table 216. Scale-Up vs. Scale-Out CPO Comparison         351
  • Table 217. Scale-Up CPO Competitive Landscape               352
  • Table 218. CPO vs. High-Density Connector Adoption Scenarios               353
  • Table 219. OIF High-Density Connector Specifications (Proposed)           354
  • Table 220. Technology Comparison: CPO vs. High-Density Connector-Enabled Alternatives   355
  • Table 221. Scenario Impact by Market Segment     355
  • Table 222. High-Density Connector Development Roadmap vs. CPO Timeline 356
  • Table 223. Why High-Density Connectors Are Unlikely to Derail CPO      356
  • Table 224. Scenario Summary and Strategic Implications               357
  • Table 225. NVIDIA CPO Supply Chain Geographic Distribution    358
  • Table 226. Taiwan IC Industry Market Share Evolution (2021-2025)          358
  • Table 227. TSMC COUPE Platform Technical Specifications           360
  • Table 228. External Laser Source Suppliers for NVIDIA CPO          362

 

List of Figures

  • Figure 1. Anatomy of a Modern AI Data Centre         39
  • Figure 2. Network Switch Architecture in Data Centres     40
  • Figure 3. Switch IC Bandwidth Evolution Timeline (2015-2036)   43
  • Figure 4. Optical Transceiver Technology Migration Path (Pluggable → Near-Package → CPO)  46
  • Figure 5. Optical Engine Component Architecture                50
  • Figure 6. Co-Packaged Optics 1.0: Typical Integration Flow.          51
  • Figure 7. Heterogeneous Integration Concept Diagram    52
  • Figure 8. Evolution from 2D to 2.5D to 3D Integration          60
  • Figure 9. Integration Technology Progression Roadmap    60
  • Figure 10. Optical I/O CPO Unit Shipment Forecast (2026-2036)               73
  • Figure 11. Optical I/O CPO Revenue Forecast (2026-2036)            74
  • Figure 12. CPO Network Switch Unit Shipment Forecast  75
  • Figure 13. CPO Network Switch Revenue Forecast (2026-2036). 76
  • Figure 14. Total CPO Market Size and Revenue (2026-2036)          77
  • Figure 15. CPO Unit Shipments by Integration Technology              78
  • Figure 16. Switch ASIC with pluggable optics versus co-packaged optics            81
  • Figure 17. LLM Parameter Growth Timeline (GPT-1 to GPT-5 and Beyond)             91
  • Figure 18. DGX H100/H200system topology             94
  • Figure 19. NVIDIA Rubin Architecture Overview      95
  • Figure 20. Scale-Up Network Topology (NVLink, NVSwitch)            97
  • Figure 21. Scale-Out and Scale-Up Network Topology (Ethernet/InfiniBand)      99
  • Figure 22. Three-Tier Network Architecture Diagram           100
  • Figure 23. Interconnect Technology Roadmap (2020-2036)           102
  • Figure 24. On-Board Optics Configuration 106
  • Figure 25. Switch ASIC Bandwidth Scaling (51.2T → 102.4T → 204.8T)     111
  • Figure 26. Copper-to-Optical Migration Roadmap 118
  • Figure 27. Current AI System Interconnect Architecture    119
  • Figure 28. AI Architecture Evolution (2026-2030)  125
  • Figure 29. AI Architecture Vision (2031-2036)          127
  • Figure 30. PIC Architecture for CPO Applications  133
  • Figure 31. CPO Key Concepts Illustration   139
  • Figure 32. Power Consumption Comparison (pJ/bit Roadmap)   144
  • Figure 33. Optical I/O Packaging for XPUs  160
  • Figure 34. Schematic view of three optically enabled data center platforms (LightningValley2, ThunderValley and Pegasus) and the Aurora test and measurement platform contained within the Nexus rack, which allows intra-rack and inter-rack connectivity betwee                164
  • Figure 35. Semiconductor Packaging Evolution Timeline 168
  • Figure 36. 2.5D Packaging Structure Diagram          179
  • Figure 37. 2.5D Si-Based Packaging Roadmap       191
  • Figure 38. EMIB implementation (silicon bridge).  193
  • Figure 39. FPGA + HBM in 2.5D package with interposer. 193
  • Figure 40. RDL Fabrication Process Flow    196
  • Figure 41. Panel-Level Fan-Out Process      199
  • Figure 42. Wafer-Level Fan-Out Process      200
  • Figure 43. Glass Core Interposer Structure                209
  • Figure 44. Glass Interposer Manufacturing Process Flow 213
  • Figure 45. (a) Switch composed of 2.5D advanced packaging; (b) TMV-based, (c) TSV-based, and (d) TGV-based advanced packaging architectures.      246
  • Figure 46. ASE Fan-Out CPO Solution           253
  • Figure 47. ASE FOPOP Process Flow              254
  • Figure 48. SPIL's Fan-Out Embedded Bridge (FOEB) Structure for PIC/EIC Integration in CPO 257
  • Figure 49. FOEB Integration Process Flow  258
  • Figure 50. TSMC Optical Engine Roadmap 263
  • Figure 51. TSMC iOIS Architecture   264
  • Figure 52. (a) TSMC-SoIC face-to-face (F”F) technology for EIC and PIC bonding. (b) COUPE critical components consist of TSMC-SoIC bond, TDC, embedded micro-lens and metal reflector.   265
  • Figure 53. Bond Pitch Scaling Roadmap      265
  • Figure 54.Scale-Up Optical I/O Technology Roadmap       351

 

 

Purchasers will receive the following:

  • PDF report download/by email. 
  • Comprehensive Excel spreadsheet of all data.
  • Mid-year Update

 

The Global Co-Packaged Optics Market 2026-2036
The Global Co-Packaged Optics Market 2026-2036
PDF.

The Global Co-Packaged Optics Market 2026-2036
The Global Co-Packaged Optics Market 2026-2036
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