- Published: March 2025
- Pages: 344
- Tables: 146
- Figures: 42
The rapid growth of AI technology has put unprecedented demands on networks and data centers. Silicon photonics and photonic integrated circuits offer the most advanced networking solution to this problem. AI "factories" are a new class of data centers with extreme scale, and networking infrastructure must be reinvented to keep pace. The US-based artificial intelligence (AI) computing multinational NVIDIA recently announced its plan to leverage silicon photonics and co-packaged optics (CPO) to connect millions of GPUs in these AI factories.
Silicon photonics and photonic integrated circuits (PICs) represent a transformative technology at the intersection of semiconductors and optics, enabling the manipulation of light on silicon chips. As data centers face unprecedented bandwidth demands driven by AI workloads, cloud computing, and video streaming, traditional copper interconnects reach fundamental physical limitations in terms of bandwidth, power consumption, and density. Silicon photonics offers a solution by leveraging light's inherent advantages: higher bandwidth, lower latency, reduced power consumption, and immunity to electromagnetic interference.
The technology is particularly crucial now due to the exponential growth in AI/ML applications, which require massive data movement between processors, memory, and storage. Silicon photonics enables the high-bandwidth, energy-efficient interconnects essential for scaling these systems. Additionally, the convergence of silicon photonics with mature CMOS manufacturing processes allows for cost-effective production at scale, making widespread adoption increasingly viable.
Looking toward the future, silicon photonics will play a pivotal role in multiple frontier technologies. In quantum computing, PICs provide the precise control of photonic qubits necessary for quantum information processing. For next-generation sensing, PIC-based LiDAR systems will enable autonomous vehicles with improved performance and reduced cost. In telecommunications, silicon photonics will support the backbone of 5G/6G networks and beyond, meeting ever-increasing bandwidth demands.
As the technology matures, we're witnessing a transition from discrete optical components to highly integrated photonic circuits that combine multiple functions on a single chip, similar to the evolution seen in the electronic semiconductor industry. This integration, coupled with advanced packaging technologies like co-packaged optics, will continue to drive improvements in performance, energy efficiency, and cost, cementing silicon photonics as a foundational technology for our increasingly connected, data-intensive world.
The Global Silicon Photonics and Photonic Integrated Circuits Market 2023-2035 provides an in-depth analysis of the rapidly evolving silicon photonics and photonic integrated circuits (PICs) landscape, offering strategic insights into market dynamics, technology trends, and growth opportunities across multiple application segments from 2023 to 2035.
Key Report Features:
- Material Platform Analysis: Comparative assessment of silicon, silicon nitride, lithium niobate, indium phosphide, and emerging material technologies
- Application Segmentation: In-depth market forecasts for datacom, telecom, sensing, AI acceleration, and quantum computing applications
- Manufacturing and Packaging: Evaluation of wafer processing challenges, yield management, and advanced packaging technologies including co-packaged optics
- Competitive Landscape: Profiles of 186 companies across the entire value chain from materials suppliers to system integrators
- Technology Roadmaps: Forecasts for product development timelines, performance improvements, and market adoption rates
- Introduction to Silicon Photonics: Fundamental principles, comparative advantages over traditional technologies, and basic optical data transmission mechanisms
- Materials and Components Analysis: Comprehensive review of platform technologies including silicon-on-insulator (SOI), germanium photodetectors, silicon nitride waveguides, thin-film lithium niobate, and hybrid integration approaches
- Advanced Packaging Technologies: Detailed analysis of 2.5D and 3D integration technologies, through-silicon vias (TSVs), hybrid bonding, and co-packaged optics solutions
- Market Applications in Depth:
- Datacom: Data center architectures, transceiver evolution, co-packaged optics, and high-performance computing interconnects
- Telecommunications: 5G/6G infrastructure, optical networking, and long-haul/metro applications
- Sensing: LiDAR systems, chemical/biological sensing, and medical diagnostics
- AI/ML: Photonic processors, neural network accelerators, and programmable photonic systems
- Quantum: PIC-based quantum computing architectures, quantum communications, and single-photon sources
- Market Forecasts 2023-2035:
- Global market size and regional analysis
- Segmentation by application, material platform, and component type
- Pricing trends and volume projections for key product categories
- Detailed forecasts for emerging segments including AI transceivers and quantum PICs
- Supply Chain Analysis: Foundry landscape, fabless designers, integrated device manufacturers, and end-users
- Technology Trends: Laser integration techniques, modulator innovations, photodetector developments, and waveguide advancements
- Challenges and Future Directions: CMOS-foundry compatibility, power consumption issues, packaging optimization, and scalability solutions.
This report provides essential strategic intelligence for technology vendors, component manufacturers, system integrators, end-users, and investors to navigate the complex and rapidly evolving silicon photonics ecosystem. With detailed technical benchmarking, market forecasts, and competitive analysis, the report enables stakeholders to identify growth opportunities, anticipate technological disruptions, and develop informed strategies for this transformative market.
The report provides comprehensive profiles of 183 companies across the silicon photonics and photonic integrated circuits ecosystem, including Accelink Technologies, Aeva Technologies, Aeponyx, Advanced Fiber Resources, AIM Photonics, AIO Core, Alibaba Cloud, Amazon (AWS), ANSYS, Advanced Micro Foundry (AMF), Amkor Technology, AMO GmbH, Analog Photonics, Anello Photonics, Aryballe, A*STAR, ASE Holdings, Aurora Innovation, Axalume, AXT, Ayar Labs, Baidu, Bay Photonics, BE Epitaxy Semiconductor, Broadcom, Black Semiconductor, Broadex, ByteDance, Cadence, Camgraphic, CEA LETI, Celestial AI, Centera Photonics, Cambridge Industries Group (CIG), Ciena Corporation, CISCO Systems, CNIT, Coherent Corp., CompoundTek, Cornerstone, Crealights Technology, DustPhotonics, EFFECT Photonics, Eoptolink (Alpine Optoelectronics), Ephos, Epiphany, Fabrinet, Fast Photonics, Fiberhome, Fibertop China Shen Zhen Fibertop Technology, ficonTEC, FormFactor, Fujitsu, Genalyte, Gigalight, GlobalFoundries, HGGenuine, Hisense Broadband, HyperLight, HyperPhotonix, Icon Photonics, InnoLight Technology, Innosemi, IntelliEpi, Inphotec, Intel, Imec, IMECAS, iPronics, JABIL, JCET Group, JFS Laboratory, JSR Corporation, Juniper Networks, Ki3 Photonics, LandMark, Leoni AG, Ligentec, Lightelligence, Lightium, Lightmatter, Lightsynq Technologies, Lightwave Logic, Light Trace Photonics, Liobate Technologies, LioniX International, LPKF, Lumentum, Luceda, Luminous Computing, LuminWave Technology, Lumiphase AG, Luxshare Precision Industry, Luxtelligence SA, MACOM, Marvell, Molex, NanoLN, NanoWired, NEC Corporation, NewPhotonics, NGK Insulators, NLM Photonics, Nokia Corporation, Novel Si Integration Technology, NTT Corporation, Nvidia, O-Net, OpenLight Photonics, OriChip Optoelectronics Technology, Partow Technologies, PETRA, Phix, PHOTON IP, and many more. Each profile includes company background, technology focus, product offerings, manufacturing capabilities, partnerships, and market positioning to provide a complete view of the competitive landscape and ecosystem relationships.
1 EXECUTIVE SUMMARY 21
- 1.1 Market Overview 21
- 1.2 Electronic and Photonic Integration Compared 22
- 1.3 Silicon Photonic Transceiver Evolution 22
- 1.4 Market Map 23
- 1.5 Global Market Trends in Silicon Photonics 26
- 1.6 Competing and Complementary Photonics Technologies 27
- 1.6.1 Metaphotonics 32
- 1.6.2 III-V Photonics 32
- 1.6.3 Lithium Niobate Photonics 32
- 1.6.4 Polymer Photonics 32
- 1.6.5 Plasmonic Photonics 32
- 1.7 Potential of photonic AI acceleration 32
- 1.8 Commercial deployment of silicon photonics 33
- 1.9 Manufacturing challenges 34
2 INTRODUCTION 37
- 2.1 What is Silicon Photonics? 38
- 2.1.1 Definition and Principles of Silicon Photonics 38
- 2.1.2 Comparison with traditional technologies 39
- 2.1.3 Silicon and Photonic Integrated Circuits 41
- 2.1.4 Optical IO, Coupling and Couplers 44
- 2.1.5 Emission and Photon Sources/Lasers 44
- 2.1.6 Detection and Photodetectors 45
- 2.1.7 Compound Semiconductor Lasers and Photodetectors (III-V) 45
- 2.1.8 Modulation, Modulators, and Mach-Zehnder Interferometers 46
- 2.1.8.1 New modulator technologies 47
- 2.1.9 Light Propagation and Waveguides 48
- 2.1.10 Optical Component Density 49
- 2.2 Advantages of Silicon Photonics 49
- 2.3 Applications of Silicon Photonics 50
- 2.4 Comparison with Other Photonic Integration Technologies 51
- 2.5 Evolution from Electronic to Photonic Integration 52
- 2.6 Silicon Photonics vs Traditional Electronics 52
- 2.7 Modern high-performance AI data centers 53
- 2.8 Core Technology Components 55
- 2.8.1 Optical IO, Coupling and Couplers 56
- 2.8.2 Emission and Photon Sources/Lasers 56
- 2.8.2.1 III-V Integration Challenges 57
- 2.8.2.2 Laser Integration Approaches 58
- 2.8.3 Detection and Photodetectors 58
- 2.8.4 Modulation Technologies 58
- 2.8.4.1 Mach-Zehnder Interferometers 59
- 2.8.4.2 Ring Modulators 59
- 2.8.5 Light Propagation and Waveguides 60
- 2.8.6 Optical Component Density 60
- 2.9 Basic Optical Data Transmission 61
- 2.10 Silicon Photonic Circuit Architecture 62
3 MATERIALS AND COMPONENTS 64
- 3.1 Silicon 64
- 3.1.1 Silicon as a Photonic Material 64
- 3.1.1.1 Optical Properties of Silicon 64
- 3.1.1.2 Fabrication Processes for Silicon Photonics 64
- 3.1.2 Silicon and Silicon-on-insulator (SOI) 65
- 3.1.2.1 SOI Manufacturing Process 66
- 3.1.2.2 SOI Performance Benchmarks 69
- 3.1.2.3 Key SOI Players 69
- 3.1.1 Silicon as a Photonic Material 64
- 3.2 Germanium 70
- 3.2.1 Germanium Integration in Silicon Photonics 70
- 3.2.2 Germanium Photodetectors 70
- 3.2.3 Germanium-on-Silicon Modulators 71
- 3.3 Silicon Nitride 71
- 3.3.1 Silicon Nitride (SiN) in Photonics Integrated Circuits 71
- 3.3.2 Optical Properties and Fabrication of SiN 73
- 3.3.3 SiN Modulator Technologies 73
- 3.3.4 SiN Applications in Photonics Integrated Circuits 74
- 3.3.5 Advances in SiN Modulator Technologies 74
- 3.3.6 SiN-based Waveguides and Devices 75
- 3.3.7 SiN Performance Analysis 75
- 3.3.8 Applications of SiN in Photonics 76
- 3.3.9 SiN PIC Players 76
- 3.4 Thin Film Lithium Niobate (TFLN) 77
- 3.4.1 Overview 77
- 3.4.2 Lithium Niobate on Insulator (LNOI) 78
- 3.4.2.1 Overview of LNOI Technology 78
- 3.4.2.2 Characteristics and Properties of LNOI 79
- 3.4.2.3 LNOI Fabrication Processes 79
- 3.4.2.4 LNOI-based Modulator and Switch Technologies 80
- 3.4.2.5 Trends Toward Higher Speed and Improved Power Efficiency 80
- 3.4.2.6 High-Speed LNOI Modulators 81
- 3.4.2.6.1 Energy-Efficient LNOI Devices 81
- 3.4.2.6.2 Emerging LNOI Device Technologies 82
- 3.5 Indium Phosphide 82
- 3.5.1 Indium Phosphide (InP) Integration 82
- 3.5.1.1 InP as a Direct Bandgap Semiconductor 83
- 3.5.1.2 InP-based Active Components 83
- 3.5.1.3 Hybrid Integration of InP with Silicon Photonics 84
- 3.5.2 InP PIC Players 84
- 3.5.1 Indium Phosphide (InP) Integration 82
- 3.6 Barium Titanite and Rare Earth metals 84
- 3.6.1 Barium Titanate (BTO) Modulators 85
- 3.7 Organic Polymer on Silicon 86
- 3.7.1 Polymer-based Modulators 87
- 3.8 Wafer Processing 87
- 3.8.1 Wafer Sizes by Platform 87
- 3.8.2 Processing Challenges 88
- 3.8.3 Yield Management 88
- 3.9 Hybrid and Heterogeneous Integration 88
- 3.9.1 Monolithic Integration 89
- 3.9.2 Hybrid Integration 89
- 3.9.3 Heterogeneous Integration 89
- 3.9.4 III-V-on-Silicon 90
- 3.9.5 Bonding and Die-Attachment Techniques 90
- 3.9.6 Monolithic versus Hybrid Integration 90
4 ADVANCED PACKAGING TECHNOLOGIES 92
- 4.1 Evolution of Packaging Technologies 92
- 4.1.1 Traditional Packaging Approaches 95
- 4.1.2 Advanced Packaging Roadmap 95
- 4.1.3 Key Performance Metrics 97
- 4.2 2.5D Integration Technologies 98
- 4.2.1 Silicon Interposer Technology 99
- 4.2.2 Glass Interposer Solutions 100
- 4.2.3 Organic Substrate Options 100
- 4.3 3D Integration Approaches 101
- 4.3.1 Through-Silicon Via (TSV) 101
- 4.3.1.1 TSV Manufacturing Process 102
- 4.3.1.2 TSV Challenges and Solutions 103
- 4.3.2 Hybrid Bonding Technologies 104
- 4.3.2.1 Cu-Cu Bonding 105
- 4.3.2.2 Direct Bonding 106
- 4.3.1 Through-Silicon Via (TSV) 101
- 4.4 Co-Packaged Optics (CPO) 106
- 4.4.1 CPO Architecture Overview 106
- 4.4.2 Benefits and Challenges 107
- 4.4.3 Integration Approaches 108
- 4.4.3.1 2D Integration 109
- 4.4.3.2 2.5D Integration 109
- 4.4.3.3 3D Integration 109
- 4.4.4 Thermal Management 110
- 4.4.5 Optical Coupling Solutions 110
- 4.5 Optical Alignment 111
- 4.5.1 Active vs Passive Alignment 111
- 4.5.2 Coupling Efficiency 112
- 4.6 Manufacturing Challenges 112
5 MARKETS AND APPLICATIONS 115
- 5.1 Datacom Applications 115
- 5.1.1 Data Center Architecture Evolution 116
- 5.1.2 Transceivers 117
- 5.1.2.1 Integration 118
- 5.1.3 Artificial intelligence (AI) and machine learning (ML) 119
- 5.1.4 Pluggable optics 119
- 5.1.5 Linear drive and linear pluggable optics (LPO) 121
- 5.1.6 Interconnects 122
- 5.1.6.1 PIC-based on-device interconnects 123
- 5.1.6.2 Advanced Packaging and Co-Packaged Optics 125
- 5.1.6.2.1 Glass materials 126
- 5.1.6.2.2 Co-Packaged Optics 128
- 5.1.6.3 Photonic Engines and Accelerators 134
- 5.1.6.3.1 Photonic processing for AI 135
- 5.1.6.3.2 Convergence with software 135
- 5.1.6.3.3 Photonic field-programmable gate arrays (FPGAs) 136
- 5.1.6.4 Photonic Integrated Circuits for Quantum Computing 137
- 5.1.6.4.1 Photonic qubits 137
- 5.1.7 Optical Transceivers 140
- 5.1.7.1 Architecture and Operation 141
- 5.1.7.2 Market Players 141
- 5.1.7.3 Technology Roadmap 142
- 5.1.8 Co-Packaged Optics for Switches 142
- 5.1.8.1 CPO vs Pluggable Solutions 142
- 5.1.8.2 Power and Performance Benefits 143
- 5.1.8.3 Implementation Challenges 143
- 5.1.9 Data Center Networks 144
- 5.1.10 High-Performance Computing 144
- 5.1.10.1 On-Device Interconnects 145
- 5.1.10.2 Chip-to-Chip Communication 145
- 5.1.10.3 System Architecture Impact 145
- 5.1.11 Chip-to-Chip and Board-to-Board Interconnects 146
- 5.1.12 Ethernet Networking 146
- 5.2 Telecommunications 147
- 5.2.1 5G/6G Infrastructure 148
- 5.2.2 Bandwidth Requirements 148
- 5.2.3 Long-Haul and Metro Networks 149
- 5.2.4 5G and Fiber-to-the-X (FTTx) Applications 149
- 5.2.5 Optical Transceivers and Transponders 150
- 5.3 Sensing Applications 151
- 5.3.1 Lidar and Automotive Sensing 151
- 5.3.1.1 Photonic Integrated Circuit-based LiDAR 152
- 5.3.2 Chemical and Biological Sensing 155
- 5.3.3 Optical Coherence Tomography 157
- 5.3.1 Lidar and Automotive Sensing 151
- 5.4 Artificial Intelligence and Machine Learning 157
- 5.4.1 AI Data Traffic Requirements 158
- 5.4.2 Silicon Photonics for AI Accelerators 159
- 5.4.3 Photonic Processors 159
- 5.4.4 Photonic Processing for AI 159
- 5.4.5 Programmable Photonics 160
- 5.4.6 Neural Network Applications 161
- 5.4.7 Future AI Architecture Requirements 162
- 5.5 Quantum Computing and Communication 163
- 5.5.1 Quantum Photonic Requirements 163
- 5.5.2 Integration Challenges 163
- 5.5.3 Photonic Platform Quantum Computing 164
- 5.5.4 PICs for Quantum systems 164
- 5.5.5 Operational cycle of photonic quantum computers 166
- 5.5.6 Market Players and Development 168
- 5.5.7 AI Neuromorphic Computing 169
- 5.6 Biophotonics and Medical Diagnostics 169
6 GLOBAL MARKET SIZE 171
- 6.1 Global Silicon Photonics and Photonic Integrated Circuits Market Overview 171
- 6.1.1 Market Size and Growth Trends 171
- 6.1.2 Market Segmentation by Application 172
- 6.1.3 Modules & PICs (Dies) Market Forecast 2023-2035 174
- 6.1.4 SOI Wafers Market Forecast 2023-2035 174
- 6.1.5 LPO & New Modulator Materials Market Forecast 2023-2035 175
- 6.2 Datacom Applications 175
- 6.2.1 Market Forecast 2023-2035 175
- 6.2.1.1 Modules Market Forecast 2023-2035 176
- 6.2.1.2 PICs (Dies) Market Forecast 2023-2035 177
- 6.2.1.3 PIC Transceivers for AI 177
- 6.2.1.4 PIC Transceiver Pricing 177
- 6.2.1.5 PIC Datacom Transceiver Market Forecast 178
- 6.2.2 Key Drivers and Restraints 179
- 6.2.1 Market Forecast 2023-2035 175
- 6.3 Telecom Applications 180
- 6.3.1 Market Forecast 2023-2035 180
- 6.3.1.1 PIC-based Transceivers for 5G 181
- 6.3.2 Key Drivers and Restraints 181
- 6.3.1 Market Forecast 2023-2035 180
- 6.4 Sensing Applications 182
- 6.4.1 Market Forecast 2023-2035 182
- 6.4.2 PIC-based Sensor Market Forecast 183
- 6.4.3 PIC-based LiDAR Market Forecast, 2023-2035 183
- 6.4.4 Key Drivers and Restraints 184
- 6.5 Photonic Integrated Circuit Market, by Material 185
7 SUPPLY CHAIN ANALYSIS 186
- 7.1 Foundries and Wafer Suppliers 186
- 7.1.1 CMOS Foundries 186
- 7.1.2 Specialty Photonics Foundries 187
- 7.2 Integrated Device Manufacturers (IDMs) 188
- 7.2.1 Fabless Companies 188
- 7.2.2 Fully Integrated Photonics Companies 189
- 7.3 Foundries and Wafer Suppliers 189
- 7.4 Packaging and Testing 190
- 7.4.1 Chip-Scale Packaging 190
- 7.4.2 Module-Level Packaging 190
- 7.4.3 Testing and Characterization 191
- 7.5 System Integrators and End-Users 191
8 TECHNOLOGY TRENDS 193
- 8.1 Laser Integration Techniques 193
- 8.1.1 Direct Epitaxial Growth 193
- 8.1.2 Flip-Chip Bonding 194
- 8.1.3 Hybrid Integration 194
- 8.1.4 Advances and Challenges 194
- 8.2 Modulator Technologies 195
- 8.2.1 Silicon Modulators 196
- 8.2.2 Germanium Modulators 196
- 8.2.3 Lithium Niobate Modulators 196
- 8.2.4 Polymer Modulators 196
- 8.3 Photodetector Technologies 197
- 8.3.1 Silicon Photodetectors 197
- 8.3.2 Germanium Photodetectors 197
- 8.3.3 III-V Photodetectors 198
- 8.4 Waveguide and Coupling Innovations 198
- 8.4.1 Silicon Waveguides 198
- 8.4.2 Silicon Nitride Waveguides 198
- 8.4.3 Coupling Techniques 199
- 8.5 Packaging and Integration Advancements 199
- 8.5.1 Chip-Scale Packaging 199
- 8.5.2 Wafer-Scale Integration 200
- 8.5.3 3D Integration and Interposer Technologies 200
9 CHALLENGES AND FUTURE TRENDS 202
- 9.1 CMOS-Foundry-Compatible Devices and Integration 202
- 9.1.1 Scaling and Miniaturization 203
- 9.1.2 Process Complexity and Yield Improvement 203
- 9.2 Power Consumption and Thermal Management 204
- 9.2.1 Energy-Efficient Photonic Devices 205
- 9.2.2 Thermal Optimization Techniques 206
- 9.3 Packaging and Testing 206
- 9.3.1 Advanced Packaging Solutions 206
- 9.3.2 Automated Testing and Characterization 207
- 9.4 Scalability and Cost-Effectiveness 208
- 9.4.1 Wafer-Scale Integration 208
- 9.4.2 Outsourced Semiconductor Assembly and Test (OSAT) 209
- 9.5 Emerging Materials and Hybrid Integration 210
- 9.5.1 Novel Semiconductor Materials 210
- 9.5.2 Heterogeneous Integration Approaches 211
10 COMPANY PROFILES 213 (183 company profiles)
11 APPENDICES 336
- 11.1 Glossary of Terms 336
- 11.2 List of Abbreviations 337
- 11.3 Research Methodology 339
12 REFERENCES 340
List of Tables
- Table 1. Silicon Photonics vs. Electronics: Key Metrics Comparison. 22
- Table 2. Photonic Technologies Comparative Analysis. 28
- Table 3. Comparison between electronic and photonic computing. 32
- Table 4. Electronics companies silicon photonics commercial activities. 33
- Table 5. Manufacturing Metrics & Challenges. 33
- Table 6. Manufacturing Targets vs Current State. 34
- Table 7. Comparative cost analysis. 38
- Table 8. Challenges for CMOS-Foundry-Compatible Photonic Devices. 39
- Table 9. Silicon Photonics Integration Schemes. 40
- Table 10. Benefits of PICs. 41
- Table 11. Current & Future Photonic Integrated Circuits Applications. 42
- Table 12. Photodetector Performance. 44
- Table 13. III-V Device Performance. 44
- Table 14. Optical Modulator Performance Comparison. 45
- Table 15. Silicon Photonic Waveguide Characteristics. 47
- Table 16. Optical Component Integration Metrics. 48
- Table 17. Advantages of Silicon Photonics. 48
- Table 18. Applications of Silicon Photonics. 49
- Table 19. Comparison with Other Photonic Integration Technologies. 50
- Table 20. Silicon Photonics vs Traditional Electronics: Performance Metrics. 51
- Table 21. Switch IC Bandwidth and CPO Technology Evolution. 53
- Table 22. Challenges in data center architectures. 54
- Table 23. Key Trends of Optical Transceivers in High-End Data Centers. 54
- Table 24. Core Components Specifications and Requirements 55
- Table 25. Types of Emission and Photon Sources/Lasers. 56
- Table 26. III-V Integration Challenges. 56
- Table 27. Laser Integration Approaches Comparison. 57
- Table 28. Modulator Types and Configurations. 58
- Table 29. Waveguide Specifications and Requirements. 59
- Table 30. Data Transmission Parameters and Specifications. 60
- Table 31. Circuit Architecture Building Blocks. 61
- Table 32. Integration Approaches. 61
- Table 33. Silicon Photonics Component Specifications. 63
- Table 34. Optical Properties of Silicon. 63
- Table 35. Fabrication Processes for Silicon Photonics. 64
- Table 36. Silicon Foundry Technology Comparison. 66
- Table 37. Silicon-on-insulator (SOI) Platform Benchmarking. 67
- Table 38. SOI Performance Benchmarks. 68
- Table 39. Key SOI Players. 68
- Table 40. Germanium Integration Methods and Applications. 69
- Table 41. SiN Key Foundries. 71
- Table 42. SiN Modulator Technologies. 72
- Table 43. Silicon (SOI and SiN) Device Heterogeneous Integration. 73
- Table 44. SiN Benchmarking. 75
- Table 45. Applications of SiN in Photonics. 75
- Table 46. SiN PIC Players. 75
- Table 47. Benchmarking of TFLN. 77
- Table 48. Characteristics and Properties of LNOI. 78
- Table 49. LNOI Fabrication Processes. 78
- Table 50. LNOI-based Modulator and Switch Technologies. 79
- Table 51. Emerging LNOI Device Technologies. 81
- Table 52. InP Benchmarking. 82
- Table 53. Integration Technologies. 83
- Table 54. InP PIC Players. 83
- Table 55. BTO Benchmarking. 84
- Table 56. Comparative analysis of materials. 84
- Table 57. Benchmarking of Polymer on Insulator. 85
- Table 58. Wafer Size Comparison by Platform. 86
- Table 59. Wafer Processing Challenges. 87
- Table 60. Yield Analysis by Process Step. 87
- Table 61. Integration Scheme Comparison. 87
- Table 62. Bonding and Die-Attachment Techniques. 89
- Table 63. Monolithic versus Hybrid Integration. 90
- Table 64. Packaging Technology Comparison Matrix. 91
- Table 65. Evolution of semiconductor packaging. 91
- Table 66. Summary of key advanced semiconductor packaging approaches. 95
- Table 67. Key Performance Metrics for Advanced Packaging Technologies. 96
- Table 68. Glass Interposer Solutions. 99
- Table 69. Organic Substrate Options. 100
- Table 70. TSV Specifications by Application. 101
- Table 71. TSV Challenges and Solutions. 102
- Table 72. Comparative benchmark overview table of key semiconductor interconnection technologies 103
- Table 73. CPO Benefits and Challenges. 106
- Table 74. Performance Metrics Comparison. 107
- Table 75. CPO Integration Approaches Comparison. 107
- Table 76. Manufacturing Process Comparison. 108
- Table 77. Thermal Management Approaches. 109
- Table 78. Optical Coupling Solutions. 109
- Table 79. Alignment Tolerance Analysis. 110
- Table 80. Active vs Passive Alignment Comparison. 110
- Table 81. Coupling Efficiency Analysis. 111
- Table 82. Advanced packaging manufacturing challenges. 111
- Table 83. Energy Consumption Analysis. 114
- Table 84. Key Metrics for Advanced Semiconductor Packaging Performance. 126
- Table 85. Pluggable Optics vs. Co-Packaged Optics (CPO). 129
- Table 86. Future Challenges in Co-Packaged Optics (CPO). 129
- Table 87. Key Technology Building Blocks for Co-Packaged Optics. 130
- Table 88. Key Packaging Components for Co-Packaged Optics. 131
- Table 89. Key Players in Photonic Quantum Computing. 136
- Table 90. Comparison of PICs vs Traditional Optical Systems. 137
- Table 91. Future PIC Requirements of the Quantum Industry. 138
- Table 92. Optical Transceivers Market Players. 140
- Table 93. Power and Performance Benefits. 142
- Table 94. Implementation Challenges. 142
- Table 95. Silicon Photonics in HPC: Technical Parameters 143
- Table 96. Applications of Silicon Photonics in Telecommunications. 146
- Table 97. Bandwidth Requirements by Segment. 148
- Table 98. 5G and FTTx Applications Technical Parameters. 149
- Table 99. Opportunities for PIC Sensors in LiDAR Applications. 151
- Table 100. Challenges of PIC-based FMCW LiDARs. 152
- Table 101. Companies Developing PIC-based LiDAR. 152
- Table 102. Companies Developing PIC Biosensors. 154
- Table 103. Companies Developing PIC-based Gas Sensors. 155
- Table 104. Companies Developing Spectroscopy PICs. 156
- Table 105. AI Data Traffic Requirements. 157
- Table 106. Neural Network Applications. 160
- Table 107. Future AI Architecture Requirements. 161
- Table 108. Quantum Photonic Requirements. 162
- Table 109. Integration Challenges in Quantum Computing and Communication. 162
- Table 110. Future PIC Requirements of the Quantum Industry. 165
- Table 111. Roadmap for Photonic Quantum Hardware. 166
- Table 112. Market players and development. 167
- Table 113. Biophotonics Applications. 168
- Table 114. Global Market for Silicon Photonics and Photonic Integrated Circuits 2023-2035 (Billions USD). 170
- Table 115. Market Segmentation by Application 2023-2035 (Billions USD). 171
- Table 116. Silicon Photonics and Photonic Integrated Circuits Server Boards, CPUs and GPUs/Accelerators Forecast. 173
- Table 117. Modules & PICs (Dies) Market Forecast 2023-2035. 173
- Table 118. SOI Wafers Market Forecast 2023-2035. 173
- Table 119. LPO & New Modulator Materials Market Forecast 2023-2035. 174
- Table 120. Market Forecast for Silicon Photonics in Datacom Applications 2023-2035 (Billions USD). 174
- Table 121. Modules Market Forecast 2023-2035. 175
- Table 122. PICs (Dies) Market Forecast 2023-2035. 176
- Table 123. PIC Transceivers for AI Units Forecast, 2023-2035. 176
- Table 124. PIC Transceiver Pricing. 177
- Table 125. PIC Datacom Transceiver Market Forecast, 2025-2035. 177
- Table 126. PIC Datacom Transceiver Revenue Forecast 178
- Table 127. Quantum PIC Market Forecast, 2023-2035.. 178
- Table 128. Key market drivers and restraints for silicon photonics in Datacom Applications. 178
- Table 129. Market Forecast for Silicon Photonics in Telecom Applications 2023-2035 (Billions USD) 179
- Table 130. Key market drivers and restraints for silicon photonics in Telecom Applications. 180
- Table 131. Market Forecast for Silicon Photonics in Sensing Applications 2023-2035 (Billions USD). 181
- Table 132. Key market drivers and restraints for silicon photonics in Sensing Applications. 183
- Table 133. Photonic Integrated Circuit Market, by Material, 2023-2035. 184
- Table 134. CMOS Foundries. 185
- Table 135. Specialty Photonics Foundries. 186
- Table 136. Fabless Companies. 187
- Table 137. Fully Integrated Photonics Companies. 188
- Table 138. Foundries and Wafer Suppliers. 189
- Table 139. System Integrators and End-Users. 191
- Table 140. Laser Integration Methods Comparison. 192
- Table 141. Advanced Techniques and Challenges. 193
- Table 142. Modulator Technology Benchmarking. 194
- Table 143. Photodetector Performance Metrics . 196
- Table 144. Novel semiconductor materials for silicon photonics. 209
- Table 145. Glossary of terms. 335
- Table 146. List of abbreviations. 336
List of Figures
- Figure 1. Silicon Photonic Transceiver Evolution Timeline. 22
- Figure 2. Silicon Photonics Player Market Map. 25
- Figure 3. Basic Silicon Photonic Circuit Architecture. 37
- Figure 4. High Performance AI data center. 53
- Figure 5. Optical IO Coupling Mechanisms Diagram. 55
- Figure 6. Optical Component Density Evolution. 60
- Figure 7. Basic Optical Data Transmission Diagram. 61
- Figure 8. SOI Wafer Structure. 64
- Figure 9. Manufacturing Process Flow. 66
- Figure 10. Germanium Photodetector. 70
- Figure 11. Silicon Nitride Layer Stack. 71
- Figure 12. AEPONYX SiN PICs. 72
- Figure 13. SiN Waveguide Cross-sections. 74
- Figure 14. LNOI Device Structures . 78
- Figure 15. Timeline of different packaging technologies. 93
- Figure 16. Advanced Packaging Roadmap. 95
- Figure 17. 2D chip packaging. 97
- Figure 18. Typical structure of 2.5D IC package utilizing interposer. 99
- Figure 19. TSV Structure and Implementation. 102
- Figure 20. Hybrid Bonding Process Flow. 104
- Figure 21. Co-Packaged Optics Architecture. 106
- Figure 22. Optical module with pluggable fibre interconnect. 119
- Figure 23. Roadmap for PIC-Based Transceivers. 121
- Figure 24. Evolution Roadmap for Semiconductor Packaging. 125
- Figure 25. Roadmap for photonic quantum hardware. 139
- Figure 26. Optical Transceivers Technology Roadmap. 141
- Figure 27. 5G/6G Implementation Roadmap. 147
- Figure 28. LiDAR System Design. 151
- Figure 29. Global Market for Silicon Photonics and Photonic Integrated Circuits 2023-2035 (Billions USD). 171
- Figure 30. Market Segmentation by Application 2023-2035 (Billions USD). 172
- Figure 31. Market Forecast for Silicon Photonics in Datacom Applications 2023-2035 (Billions USD). 175
- Figure 32. Market Forecast for Silicon Photonics in Telecom Applications 2023-2035 (Billions USD). 179
- Figure 33. PIC-based Transceivers for 5G Forecast (Units and Market), 2023-2035. 180
- Figure 34. Market Forecast for Silicon Photonics in Sensing Applications 2023-2035 (Billions USD). 181
- Figure 35. PIC-based Sensor Market Forecast, 2023-2035. 182
- Figure 36. Silicon Photonics Supply Chain and Ecosystem. 185
- Figure 37. Concept for advanced packaging for integrated photonics. 199
- Figure 38. Aeries II LiDAR system. 213
- Figure 39. NVIDIA's silicon photonics switches.. 282
- Figure 40. PsiQuantum’s modularized quantum computing system networks. 290
- Figure 41. Q.ANT Native Processing Unit (NPU). 291
- Figure 42. QuiX low-loss photonic quantum processors. 296
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