
cover
- 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
- 2.1.1 The Explosive Growth of AI and Generative AI 90
- 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
- 2.2.1 Scale-Up Networks: GPU-to-GPU Interconnects 96
- 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
- 2.3.1 Roadmap of Interconnect Technology for Network Switches in High-End Data Centres 100
- 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
- 2.4.1 Number of Copper Wires in Current AI System Interconnects 113
- 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
- 2.5.1 Power Efficiency Comparison: CPO vs. Pluggable Optics vs. Copper Interconnects 121
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
- 3.1.1 What are Photonic Integrated Circuits (PICs)? 128
- 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
- 3.2.1 What is an Optical Engine? 134
- 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
- 3.3.1 Three Key Concepts in Co-Packaged Optics (CPO) 138
- 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
- 4.1.1 Key Components to be Packaged in an Optical Transceiver 154
- 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
- 4.4.1 2.5D Packaging: High-Density Fan-Out (FO) Packaging 194
- 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
- 4.5.1 Roles of Glass in Semiconductor Packaging 206
- 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
- 4.6.1 Evolution of Bumping Technologies 220
- 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
- 4.7.1 EIC/PIC Integration by Conventional Interconnect Techniques 231
- 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
- 4.8.1 TSV for EIC/PIC Integration in CPO 245
- 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
- 4.9.1 ASE's Proposed Fan-Out Solution for CPO Packaging 252
- 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
- 4.10.1 Glass-Based Co-Packaged Optics 259
- 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
- 5.11.1 Technology Adoption Framework 316
- 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
- 5.13.7.1 Near-Term Dynamics (2025-2028) 322
- 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
- 5.13.8.1 Integration Strategy Framework 324
- 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
- 6.1.1 Overview of the Data Communications Market 333
- 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
- 6.2.1 AI and Machine Learning Workload Growth 335
- 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
- 6.3.1 Technology Trends Overview 339
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
- 7.1.1 Scale-Out CPO Market Evolution 344
- 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
- 7.3.1 High-Density Connectors vs. CPO 352
- 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
- 7.5.1 Multi-Tier Supply Chain Architecture 360
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
Payment methods: Visa, Mastercard, American Express, Paypal, Bank Transfer. To order by Bank Transfer (Invoice) select this option from the payment methods menu after adding to cart, or contact info@futuremarketsinc.com