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PUBLISHER: Future Markets, Inc. | PRODUCT CODE: 1590949

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PUBLISHER: Future Markets, Inc. | PRODUCT CODE: 1590949

The Global Silicon Photonics Market 2025-2035

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PAGES: 321 Pages, 130 Tables, 39 Figures
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The silicon photonics market represents a transformative force in semiconductor and optical communications technology, merging optical data transmission capabilities with traditional silicon semiconductor manufacturing. This integration enables unprecedented performance in data transmission speed, power efficiency, and computational capabilities while maintaining cost-effectiveness through established manufacturing processes. The current market is experiencing robust growth driven by several key factors. Data center expansion and cloud computing continue to demand higher bandwidth solutions, while 5G network deployments push the boundaries of telecommunications infrastructure. The rising global demand for high-speed internet, coupled with the exponential growth in artificial intelligence and machine learning applications, creates an increasingly compelling case for silicon photonics adoption.

The technology has found its strongest foothold in data centers and high-performance computing environments, where it serves as the backbone for high-speed interconnects between servers. These applications benefit from silicon photonics' ability to transmit data at higher speeds while significantly reducing power consumption compared to traditional electronic solutions. The telecommunications sector represents another major market segment, with applications ranging from 5G infrastructure to long-haul communications and metro networks.

Healthcare and biosensing applications are emerging as promising growth areas, with silicon photonics enabling advances in medical diagnostics, biological sensors, point-of-care testing devices, and DNA sequencing applications. This diversification of applications demonstrates the technology's versatility and potential for market expansion.

Emerging applications are set to drive future growth, with quantum computing, LiDAR systems for autonomous vehicles, and artificial intelligence accelerators leading the way. The edge computing infrastructure's expansion also creates new opportunities for silicon photonics implementation. However, the industry faces several key challenges.

Future market evolution will likely be shaped by several key trends, including increased integration density and miniaturization of components, enhanced functionality per chip, and improved power efficiency. New applications in neuromorphic computing, quantum photonics, and advanced sensing systems continue to emerge, while biomedical devices represent a promising growth sector.

Manufacturing evolution remains crucial to market growth, with advances in automated testing and characterization, improved yield management, and cost reduction through scale. The industry's ability to overcome current technical and commercial challenges while capitalizing on emerging opportunities will determine the ultimate realization of silicon photonics' market potential. As the technology continues to mature and find new applications, its role in shaping the future of computing and communications becomes increasingly central to global technological advancement.

"The Global Silicon Photonics Market 2025-2035" provides an in-depth analysis of the rapidly evolving industry, covering market trends, technological developments, and growth opportunities from 2025 to 2035. The report examines the convergence of optical and electronic technologies, highlighting how silicon photonics is revolutionizing data centers, telecommunications, sensing applications, and emerging quantum computing solutions.

Report contents include:

  • Detailed market forecasts spanning 2025-2035
  • Comprehensive analysis of key application segments
  • In-depth evaluation of materials and components
  • Assessment of advanced packaging technologies
  • Complete supply chain analysis
  • Extensive company profiles of 180+ market players. Companies profiled include Accelink Technologies, Aeva Technologies, Aeponyx, Advanced Fiber Resources, AIM Photonics, AIO Core, Alibaba Cloud, Amazon (AWS), ANSYS, Advanced Micro Foundry, 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, CEA LETI, Celestial AI, Centera Photonics, Cambridge Industries Group, Ciena, CISCO Systems, CNIT, Coherent Corp., CompoundTek, Cornerstone, Crealights Technology, DustPhotonics, EFFECT Photonics, Eoptolink, Ephos, Epiphany, Fabrinet, Fast Photonics, Fiberhome, Fibertop, 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, 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, Photonic Inc., POET Technologies, Pointcloud, Polariton Technologies, PsiQuantum, Q.ANT, QC82, Quandela, Quantum Computing Inc., Quantum Source, Quantum Transistors, Quintessent, QuiX Quantum, Qutronix, Rain Tree Photonics, Ranovus, Rapid Photonics, Salience Labs, Samsung, Sanan IC and more....
  • Market Segments analysed include:
    • Datacom and High-Performance Computing
    • Telecommunications Infrastructure
    • Sensing and LiDAR Systems
    • AI and Machine Learning
    • Quantum Computing
    • Neuromorphic Computing
    • Biophotonics and Medical Diagnostics
  • Critical technology components:
    • Core Components (lasers, modulators, photodetectors)
    • Integration Technologies
    • Advanced Packaging Solutions
    • Materials (Silicon, Germanium, Silicon Nitride, Lithium Niobate)
    • Wafer Processing and Manufacturing
    • Co-Packaged Optics
    • 2.5D and 3D Integration
  • Market Drivers and Opportunities
  • Comprehensive coverage of the silicon photonics ecosystem including:
    • Foundries and Wafer Suppliers
    • Integrated Device Manufacturers
    • Fabless Companies
    • Packaging and Testing Providers
    • System Integrators
    • End-Users
  • Emerging Technologies:
    • Novel Integration Techniques
    • Advanced Modulator Technologies
    • Next-Generation Photodetectors
    • Innovative Waveguide Designs
    • Breakthrough Packaging Solutions
  • Manufacturing and Integration
    • CMOS-Compatible Manufacturing
    • Wafer-Scale Integration
    • Hybrid and Heterogeneous Integration
    • Yield Management
    • Cost Optimization Strategies
  • Challenges and Solutions:
    • Thermal Management
    • Packaging Complexity
    • Integration Challenges
    • Cost Reduction Strategies
    • Scaling and Miniaturization
    • Testing and Characterization
  • Detailed profiles of 160+ companies including:
    • Major Semiconductor Manufacturers
    • Specialized Photonics Companies
    • Research Institutions
    • Start-ups and Innovators
    • System Integrators
    • Technology Providers

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

  • 1.1. Market Overview
  • 1.2. Electronic and Photonic Integration Compared
  • 1.3. Silicon Photonic Transceiver Evolution
  • 1.4. Market Map
  • 1.5. Global Market Trends in Silicon Photonics
  • 1.6. Competing and Complementary Photonics Technologies
    • 1.6.1. Metaphotonics
    • 1.6.2. III-V Photonics
    • 1.6.3. Lithium Niobate Photonics
    • 1.6.4. Polymer Photonics
    • 1.6.5. Plasmonic Photonics
  • 1.7. Potential of photonic AI acceleration
  • 1.8. Commercial deployment of silicon photonics
  • 1.9. Manufacturing challenges

2. INTRODUCTION TO SILICON PHOTONICS

  • 2.1. What is Silicon Photonics?
    • 2.1.1. Definition and Principles of Silicon Photonics
    • 2.1.2. Comparison with traditional technologies
    • 2.1.3. Silicon and Photonic Integrated Circuits
    • 2.1.4. Optical IO, Coupling and Couplers
    • 2.1.5. Emission and Photon Sources/Lasers
    • 2.1.6. Detection and Photodetectors
    • 2.1.7. Compound Semiconductor Lasers and Photodetectors (III-V)
    • 2.1.8. Modulation, Modulators, and Mach-Zehnder Interferometers
    • 2.1.9. Light Propagation and Waveguides
    • 2.1.10. Optical Component Density
  • 2.2. Advantages of Silicon Photonics
  • 2.3. Applications of Silicon Photonics
  • 2.4. Comparison with Other Photonic Integration Technologies
  • 2.5. Evolution from Electronic to Photonic Integration
  • 2.6. Silicon Photonics vs Traditional Electronics
  • 2.7. Modern high-performance AI data centers
  • 2.8. Core Technology Components
    • 2.8.1. Optical IO, Coupling and Couplers
    • 2.8.2. Emission and Photon Sources/Lasers
      • 2.8.2.1. III-V Integration Challenges
      • 2.8.2.2. Laser Integration Approaches
    • 2.8.3. Detection and Photodetectors
    • 2.8.4. Modulation Technologies
      • 2.8.4.1. Mach-Zehnder Interferometers
      • 2.8.4.2. Ring Modulators
    • 2.8.5. Light Propagation and Waveguides
    • 2.8.6. Optical Component Density
  • 2.9. Basic Optical Data Transmission
  • 2.10. Silicon Photonic Circuit Architecture

3. MATERIALS AND COMPONENTS

  • 3.1. Silicon
    • 3.1.1. Silicon as a Photonic Material
      • 3.1.1.1. Optical Properties of Silicon
      • 3.1.1.2. Fabrication Processes for Silicon Photonics
    • 3.1.2. Silicon and Silicon-on-insulator (SOI)
      • 3.1.2.1. SOI Manufacturing Process
      • 3.1.2.2. SOI Performance Benchmarks
      • 3.1.2.3. Key SOI Players
  • 3.2. Germanium
    • 3.2.1. Germanium Integration in Silicon Photonics
    • 3.2.2. Germanium Photodetectors
    • 3.2.3. Germanium-on-Silicon Modulators
  • 3.3. Silicon Nitride
    • 3.3.1. Silicon Nitride (SiN) in Photonics Integrated Circuits
    • 3.3.2. Optical Properties and Fabrication of SiN
    • 3.3.3. SiN Modulator Technologies
    • 3.3.4. SiN Applications in Photonics Integrated Circuits
    • 3.3.5. Advances in SiN Modulator Technologies
    • 3.3.6. SiN-based Waveguides and Devices
    • 3.3.7. SiN Performance Analysis
    • 3.3.8. Applications of SiN in Photonics
    • 3.3.9. SiN PIC Players
  • 3.4. Thin Film Lithium Niobate
    • 3.4.1. Lithium Niobate on Insulator (LNOI)
      • 3.4.1.1. Overview of LNOI Technology
      • 3.4.1.2. Characteristics and Properties of LNOI
      • 3.4.1.3. LNOI Fabrication Processes
      • 3.4.1.4. LNOI-based Modulator and Switch Technologies
      • 3.4.1.5. Trends Toward Higher Speed and Improved Power Efficiency
      • 3.4.1.6. High-Speed LNOI Modulators
        • 3.4.1.6.1. Energy-Efficient LNOI Devices
        • 3.4.1.6.2. Emerging LNOI Device Technologies
  • 3.5. Indium Phosphide
    • 3.5.1. Indium Phosphide (InP) Integration
      • 3.5.1.1. InP as a Direct Bandgap Semiconductor
      • 3.5.1.2. InP-based Active Components
      • 3.5.1.3. Hybrid Integration of InP with Silicon Photonics
    • 3.5.2. InP PIC Players
  • 3.6. Barium Titanite and Rare Earth metals
    • 3.6.1. Barium Titanate (BTO) Modulators
  • 3.7. Organic Polymer on Silicon
    • 3.7.1. Polymer-based Modulators
  • 3.8. Wafer Processing
    • 3.8.1. Wafer Sizes by Platform
    • 3.8.2. Processing Challenges
    • 3.8.3. Yield Management
  • 3.9. Hybrid and Heterogeneous Integration
    • 3.9.1. Monolithic Integration
    • 3.9.2. Hybrid Integration
    • 3.9.3. Heterogeneous Integration
    • 3.9.4. III-V-on-Silicon
    • 3.9.5. Bonding and Die-Attachment Techniques
    • 3.9.6. Monolithic versus Hybrid Integration

4. ADVANCED PACKAGING TECHNOLOGIES

  • 4.1. Evolution of Packaging Technologies
    • 4.1.1. Traditional Packaging Approaches
    • 4.1.2. Advanced Packaging Roadmap
    • 4.1.3. Key Performance Metrics
  • 4.2. 2.5D Integration Technologies
    • 4.2.1. Silicon Interposer Technology
    • 4.2.2. Glass Interposer Solutions
    • 4.2.3. Organic Substrate Options
  • 4.3. 3D Integration Approaches
    • 4.3.1. Through-Silicon Via (TSV)
      • 4.3.1.1. TSV Manufacturing Process
      • 4.3.1.2. TSV Challenges and Solutions
    • 4.3.2. Hybrid Bonding Technologies
      • 4.3.2.1. Cu-Cu Bonding
      • 4.3.2.2. Direct Bonding
  • 4.4. Co-Packaged Optics (CPO)
    • 4.4.1. CPO Architecture Overview
    • 4.4.2. Benefits and Challenges
    • 4.4.3. Integration Approaches
      • 4.4.3.1. 2D Integration
      • 4.4.3.2. 2.5D Integration
      • 4.4.3.3. 3D Integration
    • 4.4.4. Thermal Management
    • 4.4.5. Optical Coupling Solutions
  • 4.5. Optical Alignment
    • 4.5.1. Active vs Passive Alignment
    • 4.5.2. Coupling Efficiency
  • 4.6. Manufacturing Challenges

5. MARKETS AND APPLICATIONS

  • 5.1. Datacom Applications
    • 5.1.1. Data Center Architecture Evolution
    • 5.1.2. Transceivers
      • 5.1.2.1. Integration
    • 5.1.3. Artificial intelligence (AI) and machine learning (ML)
    • 5.1.4. Pluggable optics
    • 5.1.5. Linear drive and linear pluggable optics (LPO)
    • 5.1.6. Interconnects
      • 5.1.6.1. PIC-based on-device interconnects
      • 5.1.6.2. Advanced Packaging and Co-Packaged Optics
        • 5.1.6.2.1. Glass materials
        • 5.1.6.2.2. Co-Packaged Optics
      • 5.1.6.3. Photonic Engines and Accelerators
        • 5.1.6.3.1. Photonic processing for AI
        • 5.1.6.3.2. Convergence with software
        • 5.1.6.3.3. Photonic field-programmable gate arrays (FPGAs)
      • 5.1.6.4. Photonic Integrated Circuits for Quantum Computing
        • 5.1.6.4.1. Photonic qubits
    • 5.1.7. Optical Transceivers
      • 5.1.7.1. Architecture and Operation
      • 5.1.7.2. Market Players
      • 5.1.7.3. Technology Roadmap
    • 5.1.8. Co-Packaged Optics for Switches
      • 5.1.8.1. CPO vs Pluggable Solutions
      • 5.1.8.2. Power and Performance Benefits
      • 5.1.8.3. Implementation Challenges
    • 5.1.9. Data Center Networks
    • 5.1.10. High-Performance Computing
      • 5.1.10.1. On-Device Interconnects
      • 5.1.10.2. Chip-to-Chip Communication
      • 5.1.10.3. System Architecture Impact
    • 5.1.11. Chip-to-Chip and Board-to-Board Interconnects
    • 5.1.12. Ethernet Networking
  • 5.2. Telecommunications
    • 5.2.1. 5G/6G Infrastructure
    • 5.2.2. Bandwidth Requirements
    • 5.2.3. Long-Haul and Metro Networks
    • 5.2.4. 5G and Fiber-to-the-X (FTTx) Applications
    • 5.2.5. Optical Transceivers and Transponders
  • 5.3. Sensing Applications
    • 5.3.1. Lidar and Automotive Sensing
      • 5.3.1.1. Photonic Integrated Circuit-based LiDAR
    • 5.3.2. Chemical and Biological Sensing
    • 5.3.3. Optical Coherence Tomography
  • 5.4. Artificial Intelligence and Machine Learning
    • 5.4.1. AI Data Traffic Requirements
    • 5.4.2. Silicon Photonics for AI Accelerators
    • 5.4.3. Neural Network Applications
    • 5.4.4. Future AI Architecture Requirements
  • 5.5. Emerging Applications
    • 5.5.1. Quantum Computing and Communication
      • 5.5.1.1. Quantum Photonic Requirements
      • 5.5.1.2. Integration Challenges
      • 5.5.1.3. Market Players and Development
    • 5.5.2. Neuromorphic Computing
    • 5.5.3. Biophotonics and Medical Diagnostics

6. GLOBAL MARKET SIZE

  • 6.1. Global Silicon Photonics Market Overview
    • 6.1.1. Market Size and Growth Trends
    • 6.1.2. Market Segmentation by Application
  • 6.2. Datacom Applications
    • 6.2.1. Market Forecast 2023-2035
    • 6.2.2. Key Drivers and Restraints
  • 6.3. Telecom Applications
    • 6.3.1. Market Forecast 2023-2035
    • 6.3.2. Key Drivers and Restraints
  • 6.4. Sensing Applications
    • 6.4.1. Market Forecast 2023-2035
    • 6.4.2. Key Drivers and Restraints

7. SUPPLY CHAIN ANALYSIS

  • 7.1. Foundries and Wafer Suppliers
    • 7.1.1. CMOS Foundries
    • 7.1.2. Specialty Photonics Foundries
  • 7.2. Integrated Device Manufacturers (IDMs)
    • 7.2.1. Fabless Companies
    • 7.2.2. Fully Integrated Photonics Companies
  • 7.3. Foundries and Wafer Suppliers
  • 7.4. Packaging and Testing
    • 7.4.1. Chip-Scale Packaging
    • 7.4.2. Module-Level Packaging
    • 7.4.3. Testing and Characterization
  • 7.5. System Integrators and End-Users

8. TECHNOLOGY TRENDS

  • 8.1. Laser Integration Techniques
    • 8.1.1. Direct Epitaxial Growth
    • 8.1.2. Flip-Chip Bonding
    • 8.1.3. Hybrid Integration
    • 8.1.4. Advances and Challenges
  • 8.2. Modulator Technologies
    • 8.2.1. Silicon Modulators
    • 8.2.2. Germanium Modulators
    • 8.2.3. Lithium Niobate Modulators
    • 8.2.4. Polymer Modulators
  • 8.3. Photodetector Technologies
    • 8.3.1. Silicon Photodetectors
    • 8.3.2. Germanium Photodetectors
    • 8.3.3. III-V Photodetectors
  • 8.4. Waveguide and Coupling Innovations
    • 8.4.1. Silicon Waveguides
    • 8.4.2. Silicon Nitride Waveguides
    • 8.4.3. Coupling Techniques
  • 8.5. Packaging and Integration Advancements
    • 8.5.1. Chip-Scale Packaging
    • 8.5.2. Wafer-Scale Integration
    • 8.5.3. 3D Integration and Interposer Technologies

9. CHALLENGES AND FUTURE TRENDS

  • 9.1. CMOS-Foundry-Compatible Devices and Integration
    • 9.1.1. Scaling and Miniaturization
    • 9.1.2. Process Complexity and Yield Improvement
  • 9.2. Power Consumption and Thermal Management
    • 9.2.1. Energy-Efficient Photonic Devices
    • 9.2.2. Thermal Optimization Techniques
  • 9.3. Packaging and Testing
    • 9.3.1. Advanced Packaging Solutions
    • 9.3.2. Automated Testing and Characterization
  • 9.4. Scalability and Cost-Effectiveness
    • 9.4.1. Wafer-Scale Integration
    • 9.4.2. Outsourced Semiconductor Assembly and Test (OSAT)
  • 9.5. Emerging Materials and Hybrid Integration
    • 9.5.1. Novel Semiconductor Materials
    • 9.5.2. Heterogeneous Integration Approaches

10. COMPANY PROFILES (181 company profiles)

11. APPENDICES

  • 11.1. Glossary of Terms
  • 11.2. List of Abbreviations
  • 11.3. Research Methodology

12. REFERENCES

List of Tables

  • Table 1. Silicon Photonics vs. Electronics: Key Metrics Comparison
  • Table 2. Photonic Technologies Comparative Analysis
  • Table 3. Comparison between electronic and photonic computing
  • Table 4. Electronics companies silicon photonics commercial activities
  • Table 5. Manufacturing Metrics & Challenges
  • Table 6. Manufacturing Targets vs Current State
  • Table 7. Comparative cost analysis
  • Table 8. Silicon Photonics Integration Schemes
  • Table 9. Benefits of PICs
  • Table 10. Photodetector Performance
  • Table 11. III-V Device Performance
  • Table 12. Optical Modulator Performance Comparison
  • Table 13. Silicon Photonic Waveguide Characteristics
  • Table 14. Optical Component Integration Metrics
  • Table 15. Advantages of Silicon Photonics
  • Table 16. Applications of Silicon Photonics
  • Table 17. Comparison with Other Photonic Integration Technologies
  • Table 18. Silicon Photonics vs Traditional Electronics: Performance Metrics
  • Table 19. Switch IC Bandwidth and CPO Technology Evolution
  • Table 20. Challenges in data center architectures
  • Table 21. Key Trends of Optical Transceivers in High-End Data Centers
  • Table 22. Core Components Specifications and Requirements
  • Table 23. Types of Emission and Photon Sources/Lasers
  • Table 24. III-V Integration Challenges
  • Table 25. Laser Integration Approaches Comparison
  • Table 26. Modulator Types and Configurations
  • Table 27. Waveguide Specifications and Requirements
  • Table 28. Data Transmission Parameters and Specifications
  • Table 29. Circuit Architecture Building Blocks
  • Table 30. Integration Approaches
  • Table 31. Silicon Photonics Component Specifications
  • Table 32. Optical Properties of Silicon
  • Table 33. Fabrication Processes for Silicon Photonics
  • Table 34. Silicon Foundry Technology Comparison
  • Table 35. Silicon-on-insulator (SOI) Platform Benchmarking
  • Table 36. SOI Performance Benchmarks
  • Table 37. Key SOI Players
  • Table 38. Germanium Integration Methods and Applications
  • Table 39. SiN Key Foundries
  • Table 40. SiN Modulator Technologies
  • Table 41. Silicon (SOI and SiN) Device Heterogeneous Integration
  • Table 42. SiN Benchmarking
  • Table 43. Applications of SiN in Photonics
  • Table 44. SiN PIC Players
  • Table 45. Benchmarking of TFLN
  • Table 46. Characteristics and Properties of LNOI
  • Table 47. LNOI Fabrication Processes
  • Table 48. LNOI-based Modulator and Switch Technologies
  • Table 49. Emerging LNOI Device Technologies
  • Table 50. InP Benchmarking
  • Table 51. Integration Technologies
  • Table 52. InP PIC Players
  • Table 53. BTO Benchmarking
  • Table 54. Comparative analysis of materials
  • Table 55. Benchmarking of Polymer on Insulator
  • Table 56. Wafer Size Comparison by Platform
  • Table 57. Wafer Processing Challenges
  • Table 58. Yield Analysis by Process Step
  • Table 59. Integration Scheme Comparison
  • Table 60. Bonding and Die-Attachment Techniques
  • Table 61. Monolithic versus Hybrid Integration
  • Table 62. Packaging Technology Comparison Matrix
  • Table 63. Evolution of semiconductor packaging
  • Table 64. Summary of key advanced semiconductor packaging approaches
  • Table 65. Key Performance Metrics for Advanced Packaging Technologies
  • Table 66. Glass Interposer Solutions
  • Table 67. Organic Substrate Options
  • Table 68. TSV Specifications by Application
  • Table 69. TSV Challenges and Solutions
  • Table 70. Comparative benchmark overview table of key semiconductor interconnection technologies
  • Table 71. CPO Benefits and Challenges
  • Table 72. Performance Metrics Comparison
  • Table 73. CPO Integration Approaches Comparison
  • Table 74. Manufacturing Process Comparison
  • Table 75. Thermal Management Approaches
  • Table 76. Optical Coupling Solutions
  • Table 77. Alignment Tolerance Analysis
  • Table 78. Active vs Passive Alignment Comparison
  • Table 79. Coupling Efficiency Analysis
  • Table 80. Advanced packaging manufacturing challenges
  • Table 81. Energy Consumption Analysis
  • Table 82. Key Metrics for Advanced Semiconductor Packaging Performance
  • Table 83. Pluggable Optics vs. Co-Packaged Optics (CPO)
  • Table 84. Future Challenges in Co-Packaged Optics (CPO)
  • Table 85. Key Technology Building Blocks for Co-Packaged Optics
  • Table 86. Key Packaging Components for Co-Packaged Optics
  • Table 87. Key Players in Photonic Quantum Computing
  • Table 88. Comparison of PICs vs Traditional Optical Systems
  • Table 89. Future PIC Requirements of the Quantum Industry
  • Table 90. Optical Transceivers Market Players
  • Table 91. Power and Performance Benefits
  • Table 92. Implementation Challenges
  • Table 93. Silicon Photonics in HPC: Technical Parameters
  • Table 94. Applications of Silicon Photonics in Telecommunications
  • Table 95. Bandwidth Requirements by Segment
  • Table 96. 5G and FTTx Applications Technical Parameters
  • Table 97. Opportunities for PIC Sensors in LiDAR Applications
  • Table 98. Challenges of PIC-based FMCW LiDARs
  • Table 99. Companies Developing PIC-based LiDAR
  • Table 100. Companies Developing PIC Biosensors
  • Table 101. Companies Developing PIC-based Gas Sensors
  • Table 102. Companies Developing Spectroscopy PICs
  • Table 103. AI Data Traffic Requirements
  • Table 104. Neural Network Applications
  • Table 105. Future AI Architecture Requirements
  • Table 106. Quantum Photonic Requirements
  • Table 107. Integration Challenges in Quantum Computing and Communication
  • Table 108. Market players and development
  • Table 109. Biophotonics Applications
  • Table 110. Global Market for Silicon Photonics 2023-2035 (Billions USD)
  • Table 111. Market Segmentation by Application 2023-2035 (Billions USD)
  • Table 112. Market Forecast for Silicon Photonics in Datacom Applications 2023-2035 (Billions USD)
  • Table 113. Key market drivers and restraints for silicon photonics in Datacom Applications
  • Table 114. Market Forecast for Silicon Photonics in Telecom Applications 2023-2035 (Billions USD)
  • Table 115. Key market drivers and restraints for silicon photonics in Telecom Applications
  • Table 116. Market Forecast for Silicon Photonics in Sensing Applications 2023-2035 (Billions USD)
  • Table 117. Key market drivers and restraints for silicon photonics in Sensing Applications
  • Table 118. CMOS Foundries
  • Table 119. Specialty Photonics Foundries
  • Table 120. Fabless Companies
  • Table 121. Fully Integrated Photonics Companies
  • Table 122. Foundries and Wafer Suppliers
  • Table 123. System Integrators and End-Users
  • Table 124. Laser Integration Methods Comparison
  • Table 125. Advanced Techniques and Challenges
  • Table 126. Modulator Technology Benchmarking
  • Table 127. Photodetector Performance Metrics
  • Table 128. Novel semiconductor materials for silicon photonics
  • Table 129. Glossary of terms
  • Table 130. List of abbreviations

List of Figures

  • Figure 1. Silicon Photonic Transceiver Evolution Timeline
  • Figure 2. Silicon Photonics Player Market Map
  • Figure 3. Basic Silicon Photonic Circuit Architecture
  • Figure 4. High Performance AI data center
  • Figure 5. Optical IO Coupling Mechanisms Diagram
  • Figure 6. Optical Component Density Evolution
  • Figure 7. Basic Optical Data Transmission Diagram
  • Figure 8. SOI Wafer Structure
  • Figure 9. Manufacturing Process Flow
  • Figure 10. Germanium Photodetector
  • Figure 11. Silicon Nitride Layer Stack
  • Figure 12. AEPONYX SiN PICs
  • Figure 13. SiN Waveguide Cross-sections
  • Figure 14. LNOI Device Structures
  • Figure 15. Timeline of different packaging technologies
  • Figure 16. Advanced Packaging Roadmap
  • Figure 17. 2D chip packaging
  • Figure 18. Typical structure of 2.5D IC package utilizing interposer
  • Figure 19. TSV Structure and Implementation
  • Figure 20. Hybrid Bonding Process Flow
  • Figure 21. Co-Packaged Optics Architecture
  • Figure 22. Optical module with pluggable fibre interconnect
  • Figure 23. Roadmap for PIC-Based Transceivers
  • Figure 24. Evolution Roadmap for Semiconductor Packaging
  • Figure 25. Roadmap for photonic quantum hardware
  • Figure 26. Optical Transceivers Technology Roadmap
  • Figure 27. 5G/6G Implementation Roadmap
  • Figure 28. LiDAR System Design
  • Figure 29. Global Market for Silicon Photonics 2023-2035 (Billions USD)
  • Figure 30. Market Segmentation by Application 2023-2035 (Billions USD)
  • Figure 31. Market Forecast for Silicon Photonics in Datacom Applications 2023-2035 (Billions USD)
  • Figure 32. Market Forecast for Silicon Photonics in Telecom Applications 2023-2035 (Billions USD)
  • Figure 33. Market Forecast for Silicon Photonics in Sensing Applications 2023-2035 (Billions USD)
  • Figure 34. Silicon Photonics Supply Chain and Ecosystem
  • Figure 35. Concept for advanced packaging for integrated photonics
  • Figure 36. Aeries II LiDAR system
  • Figure 37. PsiQuantum's modularized quantum computing system networks
  • Figure 38. Q.ANT Native Processing Unit (NPU)
  • Figure 39. QuiX low-loss photonic quantum processors
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