The Global Market for Reconfigurable Intelligent Surfaces (RIS) 2025-2035

1.1 Overview of Reconfigurable Intelligent Surfaces (RIS)
1.2 Key Market Drivers and Challenges
1.3 Technology and Market Trends
1.4 Metamaterials key to RIS
1.5 Market Size and Growth Projections
1.6 Competitive Landscape Overview
1.7 Future Outlook and Opportunities

2.1 Technology overview
2.1.1 Key features and functionality
2.1.2 Frequencies
2.1.3 Physics of Electromagnetic Wave Manipulation
2.1.3.1 Reflection
2.1.3.2 Refraction
2.1.3.3 Diffraction
2.1.3.4 Absorption
2.1.4 RIS Operating Principles
2.1.4.1 Passive RIS
2.1.4.2 Active RIS
2.1.4.3 Hybrid RIS
2.1.5 Key Performance Parameters
2.1.5.1 Reflection Coefficient
2.1.5.2 Phase Shift Range
2.1.5.3 Bandwidth
2.1.5.4 Power Consumption
2.1.5.5 Reconfiguration Speed
2.1.6 Design Considerations for RIS
2.1.6.1 Surface Element Design
2.1.6.2 Array Configuration
2.1.6.3 Control Mechanisms
2.1.6.4 Integration with Existing Infrastructure
2.2 System Architecture
2.3 Importance in Modern Wireless Communications
2.4 Advantages Over Traditional Wireless Technologies
2.5 Current Limitations and Challenges
2.6 Comparison with Other Smart Electromagnetic (EM) Devices

3.1 Transparent vs. Non-Transparent Reflectors
3.1.1 Transparent Reflectors
3.1.2 Non-Transparent Reflectors
3.1.3 By company
3.2 Metasurfaces
3.2.1 Principles of Metasurfaces
3.2.2 Types of Metasurfaces
3.2.2.1 Meta-Lens
3.2.2.2 Metasurface holograms
3.2.2.3 Flexible metasurfaces
3.2.3 Fabrication Techniques
3.2.4 Characteristics
3.3 Liquid Crystal-based RIS
3.3.1 Operating Principles
3.3.2 Advantages and Limitations
3.4 MEMS-based RIS
3.4.1 MEMS Technology Overview
3.4.2 Design and Fabrication
3.4.3 Performance Metrics
3.5 Varactor Diode-based RIS
3.5.1 Overview
3.6 PIN Diode-based RIS
3.6.1 Overview
3.7 Other Materials
3.7.1 Ferroelectric materials
3.7.2 Phase Change Materials
3.7.3 Graphene
3.8 Comparison of RIS Technologies
3.8.1 Performance Metrics
3.8.2 Cost Analysis
3.8.3 Scalability and Manufacturing Considerations

4.1 5G
4.1.1 Overview
4.1.2 Market drivers
4.1.2.1 Coverage Enhancement Needs
4.1.2.2 Energy Efficiency Requirements
4.1.2.3 Capacity Improvement Demands
4.1.2.4 Cost Optimization Goals
4.1.3 Applications
4.1.4 RIS operation phases
4.1.5 Functionalities of RIS
4.1.6 RIS prototypes
4.1.7 5G Network Requirements
4.1.8 RIS Role in 5G Infrastructure
4.1.9 Integration with 5G Networks
4.1.9.1 Network Integration Strategies
4.1.9.2 Channel Modeling
4.1.9.3 Signal Processing
4.1.9.4 Integration Challenges and Solutions
4.1.10 Performance Enhancement
4.1.10.1 Coverage Optimization
4.1.10.2 Capacity Enhancement
4.1.10.3 Energy Efficiency
4.1.11 Advanced Applications
4.1.11.1 mmWave Communications
4.1.11.2 Massive MIMO Systems
4.1.11.3 IoT Applications
4.1.12 Implementation Challenges
4.1.12.1 Technical Challenges
4.1.12.2 Standardization
4.1.13 Future Directions
4.1.13.1 Hardware Advancements
4.1.13.2 Control Systems
4.1.13.3 Integration Capabilities
4.1.13.4 Performance Enhancement
4.1.14 Market and technology roadmap
4.2 6G and Beyond
4.2.1 6G Reconfigurable intelligent surfaces and metamaterials opportunities
4.2.2 RIS materials applications
4.2.3 RIS costs in volume
4.2.4 RIS formulations
4.2.5 RIS in Terahertz Communications
4.2.6 Holographic Radio
4.2.7 Intelligent Reflecting Surfaces for Satellite Communications
4.3 MIMO Systems and RIS
4.3.1 RIS-assisted MIMO
4.3.2 RIS-based Massive MIMO
4.3.3 Performance Enhancements and Challenges
4.4 Beamforming and RIS
4.4.1 Passive Beamforming
4.4.2 Hybrid Beamforming with RIS
4.4.3 Adaptive Beamforming Techniques
4.5 Energy Efficiency in Wireless Networks
4.5.1 RIS for Green Communications
4.5.2 Energy Harvesting with RIS

5.1 Telecommunications
5.1.1 Coverage Enhancement
5.1.2 Capacity Improvement
5.1.3 Interference Mitigation
5.1.4 Market forecast
5.2 Smart Cities and IoT
5.2.1 Urban Environment Monitoring
5.2.2 Smart Transportation Systems
5.2.3 Energy Management in Buildings
5.2.4 Market forecast
5.3 Industrial IoT and Industry 4.0
5.3.1 Factory Automation
5.3.2 Warehouse Management
5.3.3 Process Control and Monitoring
5.3.4 Market forecast
5.4 Healthcare and Medical Applications
5.4.1 Wireless Body Area Networks
5.4.2 Remote Patient Monitoring
5.4.3 Medical Imaging Enhancement
5.4.4 Market forecast
5.5 Automotive and Transportation
5.5.1 Vehicle-to-Everything (V2X) Communications
5.5.2 Autonomous Vehicles
5.5.3 Intelligent Transportation Systems
5.5.4 Market forecast (IoT)
5.6 Aerospace and Defense
5.6.1 Radar Systems Enhancement
5.6.2 Secure Communications
5.6.3 Stealth Technology
5.6.4 UAVs
5.7 Smart Home and Consumer Electronics
5.7.1 In-home Wireless Coverage Optimization
5.7.2 Device-to-Device Communications
5.7.3 Augmented and Virtual Reality Applications

6.1 Global Market Size and Growth Projections
6.1.1 Market Segmentation by Technology
6.1.2 Market Segmentation by Market
6.1.3 Market Segmentation by Geography
6.2 Key Market Drivers
6.2.1 Increasing Demand for High-Speed, Low-Latency Communications
6.2.2 Growth in IoT and Smart Device Adoption
6.2.3 Advancements in 5G and 6G Technologies
6.2.4 Need for Energy-Efficient Wireless Solutions
6.2.5 Other drivers
6.3 Market Challenges and Barriers
6.3.1 High Initial Implementation Costs
6.3.2 Technical Complexities in Large-Scale Deployment
6.3.3 Standardization and Interoperability Issues
6.3.4 Regulatory and Compliance Challenges
6.3.5 Other challenges and barriers
6.4 Emerging Market Opportunities
6.4.1 Integration with Edge Computing
6.4.2 RIS for Satellite and Space Communications
6.4.3 Advanced Materials for RIS
6.4.4 AI and Machine Learning Integration
6.4.5 Quantum RIS Concepts
6.4.6 Cognitive RIS
6.4.7 Self-configuring and Self-healing RIS
6.4.8 Integration with Blockchain for Secure Communications
6.5 Future Outlook
6.5.1 RIS in 6G and Beyond
6.5.2 Holographic Communications
6.5.3 Space-based RIS Networks
6.5.4 AI and Machine Learning in RIS Control
6.5.5 RIS for Terahertz and Optical Wireless Communications
6.5.6 Biological and Health Implications of Large-Scale RIS Deployment

7.1 Current Standards Related to RIS
7.1.1 IEEE Standards
7.1.2 3GPP Specifications
7.1.3 ETSI Standards
7.2 Spectrum Allocation and Management
7.2.1 Safety and Electromagnetic Compatibility Regulations
7.2.2 Data Privacy and Security Considerations

8.1 Energy Efficiency of RIS-enabled Networks
8.2 Life Cycle Assessment of RIS Technologies
8.3 E-waste Management and Recycling
8.4 Sustainable Manufacturing Practices
8.5 RIS Role in Smart Grid and Energy Management
8.6 Environmental Impact of Large-Scale RIS Deployment

9.1 Technical Challenges in RIS Implementation
9.2 Scaling Up Production and Cost Reduction
9.3 Integration with Existing Infrastructure
9.4 Performance in Complex Environments
9.5 Security and Privacy Concerns

11.1 Glossary of Terms
11.2 List of Abbreviations
11.3 Research Methodology

Table 1. Key Market Drivers and Challenges in RIS
Table 2. Reconfigurable Intelligent Surfaces (RIS) Technology and Market Trends
Table 3. Future Outlook and Opportunities in RIS
Table 4. Overview of different RIS types
Table 5. RIS operation phases
Table 6. RIS Hardware
Table 7. Comparison of different RIS techniques
Table 8. RIS functionalities
Table 9. Challenges for fully functionalized RIS environments
Table 10. Comparison of Reflection Coefficient Across Different RIS Technologies
Table 11. Benchmarking of Reconfigurable Intelligent Surfaces (RIS) types
Table 12. Comparison of Key Performance Metrics for Different RIS Technologies
Table 13.Comparison of Phase Shift Range Across Different RIS Technologies
Table 14. Bandwidth and Frequency Ranges for Various RIS Technologies
Table 15. Power Consumption Comparison of RIS Technologies
Table 16. Energy Efficiency Comparison: RIS-enabled vs. Traditional Wireless Networks
Table 17. Reconfiguration Speed Comparison Across Different RIS Types
Table 18. Integration Considerations
Table 19. Advantages Over Traditional Wireless Technologies
Table 20. Current Limitations and Challenges
Table 21. RIS vs Other Smart Electromagnetic (EM) Devices
Table 22. Types of RIS by transparency
Table 23. Comparative Analysis of Transparent vs. Non-Transparent Reflectors in RIS
Table 24. Transparency/Non-Transparency Categorization by company
Table 25.Types of Metasurfaces
Table 26. Metasurface fabrication techniques
Table 27. Distinguishing between conductive and optical metamaterials
Table 28. Advantages and Limitations of Liquid Crystal-based RIS
Table 29. MEMS-based RIS Technology Performance Metrics
Table 30. Comparison of RIS Performance in Different Environmental Conditions
Table 31. Cost Analysis
Table 32. Market drivers for reconfigurable intelligent surfaces in 5G
Table 33. Coverage Enhancement Metrics
Table 34. Energy Efficiency Metrics
Table 35. Cost Optimization Metrics
Table 36. Reconfigurable intelligent surface (RIS) - applications in 5G
Table 37. RIS operation phases
Table 38. Functionalities of RIS
Table 39. RIS 5G Prototypes
Table 40. 5G Network Requirements
Table 41. RIS applications in wireless networks
Table 42. Network integration strategies for RIS technology
Table 43. Integration with Existing Infrastructure
Table 44. Performance Metrics in 5G Network Integration
Table 45. Path Loss Models
Table 46. Channel Estimation Techniques
Table 47. Multi-user Scenarios
Table 48. Precoding Techniques
Table 49. Integration Challenges and Solutions
Table 50. Coverage Extension Methods
Table 51. Indoor Coverage Solutions
Table 52. Capacity Enhancement
Table 53. Energy Efficiency
Table 54. Power Consumption Analysis
Table 55. High-Frequency Challenges
Table 56. RIS Solutions for mmWave
Table 57. Performance Analysis
Table 58. Implementation Challenges
Table 59. Technical Challenges for RIS
Table 60. Hardware Limitations for RIS in 5G
Table 61. Standardization Challenges
Table 62. RIS Materials Applications
Table 63. RIS costs in volume
Table 64. RIS formulations
Table 65. Adaptive Beamforming Techniques
Table 66. Global market forecast for RIS Adoption in 5G/6G Networks (2025-2035), Millions USD
Table 67. Urban Environment Monitoring Applications
Table 68. Smart Transportation Applications
Table 69. Energy Management Applications
Table 70. Global market forecast for RIS Adoption in Smart Cities and IoT (2025-2035), Millions USD
Table 71.Industrial IoT Applications
Table 72. Process Control Applications
Table 73. Global market forecast for RIS Adoption in Industrial IoT and Industry 4.0 Applications (2025-2035), Millions USD
Table 74. Wireless Body Area Networks Applications
Table 75. Remote Patient Monitoring Applications
Table 76. Global Market Forecast for RIS Adoption in Healthcare/Medical (2025-2035), Millions USD
Table 77.Automotive and Transportation Applications
Table 78. Global market forecast for RIS Adoption in Automotive and Transportation (2025-2035), Millions USD
Table 79. Augmented and Virtual Reality Applications
Table 80. Global RIS Market Size, by Technology Type, 2025-2035 (USD Million)
Table 81. Global RIS Market Size, by market, 2025-2035 (USD Million)
Table 82. Global RIS Market Size, by Region, 2025-2035 (USD Million)
Table 83. Applications in Satellite and Space Communications
Table 84.RIS Material Types and Applications
Table 85. Quantum RIS Concepts
Table 86. Biological and Health Implications
Table 87. Safety and Electromagnetic Compatibility Regulations
Table 88. Data Privacy and Security Considerations
Table 89. Environmental Impact Comparison: RIS vs. Traditional Wireless Infrastructure
Table 90. Energy Efficiency Metrics
Table 91. Life Cycle Assessment of RIS Technologies
Table 92. E-waste Management and Recycling
Table 93. Sustainable Manufacturing for RIS Technology
Table 94. Smart Grid Integration
Table 95. Environmental Impact of Large-Scale RIS Deployment
Table 96. Technical Challenges in RIS Implementation
Table 97. Glossary of Terms
Table 98. List of Abbreviations

Figure 1. A typical use case of an RIS, where it receives a signal from the transmitter and re-radiates it focused on the receiver
Figure 2. Basic RIS application: coverage extension in a cellular network
Figure 3. Comparison of different wireless systems
Figure 4. Schematic Diagram of a Typical RIS Structure
Figure 5. Intelligent reflection and refraction
Figure 6. Hardware architecture of RIS
Figure 7. Scanning electron microscope (SEM) images of several metalens antenna forms
Figure 8. Transparent and flexible metamaterial film developed by Sekishi Chemical
Figure 9. The structure of a three-layered PIN diode based 2-bit RIS panel
Figure 10. NTT DOCOMO transparent RIS
Figure 11. Meta Nanoweb®
Figure 12. RIS mmWave communication
Figure 13. RIS in 5G Market and technology roadmap
Figure 14. Comparison between 5G and 6G wireless systems in terms of key-performance indicators
Figure 15. RIS-assisted wireless communication
Figure 16. RIS-enabled, self-sufficient ultra-massive 6G UM-MIMO base station design
Figure 17. Active and passive beamforming in RIS-assisted cell-free massive MIMO
Figure 18. Lumotive advanced beam steering concept
Figure 19. Deployment of RIS in a building for communication
Figure 20. RIS-assisted indoor enhancement of outdoor macro station coverage
Figure 21. Global market forecast for RIS Adoption in 5G/6G Networks (2025-2035), Millions USD
Figure 22. Global market forecast for RIS Adoption in Smart Cities and IoT (2025-2035), Millions USD
Figure 23. RIS-aided IoT communication
Figure 24. Global market forecast for RIS Adoption in IoT Applications (2025-2035), Millions USD
Figure 25. Global Market Forecast for RIS Adoption in Healthcare/Medical (2025-2035), Millions USD
Figure 26. RIS-assisted V2V communication system
Figure 27. RIS vehicle network communication
Figure 28. Global market forecast for RIS Adoption in Automotive and Transportation (2025-2035), Millions USD
Figure 29. PHY-Layer security issue scheme of RIS
Figure 30. RIS UAV communication
Figure 31. RIS VLC in a smart office room
Figure 32. Global RIS Market Size, by Technology Type, 2025-2035 (USD Million)
Figure 33. Global RIS Market Size, by Application, 2025-2035 (USD Million)
Figure 34. Global RIS Market Size, by Region, 2025-2035 (USD Million)
Figure 35. RIS-enabled wireless edge computing
Figure 36. Edgehog Advanced Technologies Omnidirectional anti-reflective coating
Figure 37. FM/R technology
Figure 38. Metablade antenna
Figure 39. MTenna flat panel antenna
Figure 40. Kymeta u8 antenna installed on a vehicle
Figure 41. LIDAR system for autonomous vehicles
Figure 42. Light-control metasurface beam-steering chips
Figure 43. Metaboard wireless charger
Figure 44. Metalenz metasurface-based optics on a chip
Figure 45. NTT DOCOMO transparent RIS
Figure 46. ZTE dynamic reconfigurable intelligent surface 2.0 product