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

Description

List of Tables

RIS, also known as Intelligent Reflecting Surfaces (IRS) or software-controlled metasurfaces, are artificial structures composed of a large number of small, passive elements that can be electronically controlled to manipulate electromagnetic waves. These surfaces can reflect, refract, absorb, or focus incoming signals in desired directions, effectively shaping the wireless propagation environment. Due to recent advances in metamaterials, Reconfigurable Intelligent Surface (RIS) has emerged as a promising technology for future 6G wireless communications. Benefiting from its high array gain, low cost, and low power consumption, RISs are expected to greatly enlarge signal coverage, improve system capacity, and increase energy efficiency.

RIS technology offers revolutionary capabilities in manipulating electromagnetic waves, enabling enhanced coverage, capacity, and energy efficiency in wireless networks. As 5G networks expand and 6G development accelerates, RIS is expected to play a crucial role in overcoming current limitations in wireless communications. Key applications span telecommunications, smart cities, Industrial IoT, healthcare, automotive, aerospace, and consumer electronics. The market is driven by increasing demand for high-speed, low-latency communications, growth in IoT adoption, and the need for energy-efficient wireless solutions. However, challenges include high initial costs, technical complexities in large-scale deployment, and standardization issues.

Report contents include:

Market Size and Growth Projections: Detailed forecasts of the RIS market size and growth rate from 2025 to 2035, segmented by technology type, application, and geography.
Technology Deep Dive: Comprehensive analysis of various RIS technologies, including metasurfaces, liquid crystal-based RIS, MEMS-based RIS, and emerging approaches.
Application Landscape:Exploration of key application areas such as 5G/6G networks, IoT, smart cities, autonomous vehicles, and aerospace communications.
Competitive Landscape: Profiles of leading companies and emerging players in the RIS space, including their technologies, strategies, and market positioning. Companies profiled include Alcan Systems, Alphacore Inc., Edgehog Advanced Technologies, Evolv Technologies Inc., Fractal Antenna Systems Inc., Greenerwave, Huawei, Kymeta Corporation, Leadoptik Inc., Lumotive, META, Metaboards Limited, Metawave Corporation, Nokia, NTT DOCOMO, Pivotal Commware Inc., SK Telecom, Teraview Limited, and ZTE Corporation.
Future Outlook: Assessment of emerging trends, potential disruptions, and long-term prospects for RIS technology.
Developments in RIS technology, including:
- Integration with AI and machine learning for adaptive control
- Quantum RIS concepts pushing the boundaries of performance
- Self-configuring and self-healing RIS for enhanced reliability
- Holographic radio and terahertz communications enabled by RIS
Market Drivers and Opportunities
Challenges and Market Dynamics
Technology Benchmarking and Performance Analysis
Comprehensive comparison of different RIS technologies.
Integration with Wireless Communication Systems.
Environmental and Sustainability Considerations.
Standardization and Regulatory Landscape.

1. EXECUTIVE SUMMARY

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. INTRODUCTION

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. RIS TECHNOLOGIES

3.1. Metasurfaces
- 3.1.1. Principles of Metasurfaces
- 3.1.2. Types of Metasurfaces
  - 3.1.2.1. Meta-Lens
  - 3.1.2.2. Metasurface holograms
  - 3.1.2.3. Flexible metasurfaces
- 3.1.3. Fabrication Techniques
- 3.1.4. Characteristics
3.2. Liquid Crystal-based RIS
- 3.2.1. Operating Principles
- 3.2.2. Advantages and Limitations
3.3. MEMS-based RIS
- 3.3.1. MEMS Technology Overview
- 3.3.2. Design and Fabrication
- 3.3.3. Performance Metrics
3.4. Varactor Diode-based RIS
- 3.4.1. Overview
3.5. PIN Diode-based RIS
- 3.5.1. Overview
3.6. Other Materials
- 3.6.1. Ferroelectric materials
- 3.6.2. Phase Change Materials
- 3.6.3. Graphene
3.7. Comparison of RIS Technologies
- 3.7.1. Performance Metrics
- 3.7.2. Cost Analysis
- 3.7.3. Scalability and Manufacturing Considerations

4. RIS IN WIRELESS COMMUNICATION SYSTEMS

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. MARKET AND APPLICATIONS

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. MARKET ANALYSIS AND TRENDS

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. STANDARDIZATION AND REGULATORY ENVIRONMENT

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. ENVIRONMENTAL AND SUSTAINABILITY 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. CHALLENGES AND LIMITATIONS

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

10. COMPANY PROFILES (20 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. 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 Metasurfaces
Table 23. Metasurface fabrication techniques
Table 24. Distinguishing between conductive and optical metamaterials
Table 25. Advantages and Limitations of Liquid Crystal-based RIS
Table 26. MEMS-based RIS Technology Performance Metrics
Table 27. Comparison of RIS Performance in Different Environmental Conditions
Table 28. Cost Analysis
Table 29. Market drivers for reconfigurable intelligent surfaces in 5G
Table 30. Coverage Enhancement Metrics
Table 31. Energy Efficiency Metrics
Table 32. Cost Optimization Metrics
Table 33. Reconfigurable intelligent surface (RIS) - applications in 5G
Table 34. RIS operation phases
Table 35. Functionalities of RIS
Table 36. RIS 5G Prototypes
Table 37. 5G Network Requirements
Table 38. RIS applications in wireless networks
Table 39. Network integration strategies for RIS technology
Table 40. Integration with Existing Infrastructure
Table 41. Performance Metrics in 5G Network Integration
Table 42. Path Loss Models
Table 43. Channel Estimation Techniques
Table 44. Multi-user Scenarios
Table 45. Precoding Techniques
Table 46. Integration Challenges and Solutions
Table 47. Coverage Extension Methods
Table 48. Indoor Coverage Solutions
Table 49. Capacity Enhancement
Table 50. Energy Efficiency
Table 51. Power Consumption Analysis
Table 52. High-Frequency Challenges
Table 53. RIS Solutions for mmWave
Table 54. Performance Analysis
Table 55. Implementation Challenges
Table 56. Technical Challenges for RIS
Table 57. Hardware Limitations for RIS in 5G
Table 58. Standardization Challenges
Table 59. RIS Materials Applications
Table 60. RIS costs in volume
Table 61. RIS formulations
Table 62. Adaptive Beamforming Techniques
Table 63. Global market forecast for RIS Adoption in 5G/6G Networks (2025-2035), Millions USD
Table 64. Urban Environment Monitoring Applications
Table 65. Smart Transportation Applications
Table 66. Energy Management Applications
Table 67. Global market forecast for RIS Adoption in Smart Cities and IoT (2025-2035), Millions USD
Table 68.Industrial IoT Applications
Table 69. Process Control Applications
Table 70. Global market forecast for RIS Adoption in Industrial IoT and Industry 4.0 Applications (2025-2035), Millions USD
Table 71. Wireless Body Area Networks Applications
Table 72. Remote Patient Monitoring Applications
Table 73. Global Market Forecast for RIS Adoption in Healthcare/Medical (2025-2035), Millions USD
Table 74.Automotive and Transportation Applications
Table 75. Global market forecast for RIS Adoption in Automotive and Transportation (2025-2035), Millions USD
Table 76. Augmented and Virtual Reality Applications
Table 77. Global RIS Market Size, by Technology Type, 2025-2035 (USD Million)
Table 78. Global RIS Market Size, by market, 2025-2035 (USD Million)
Table 79. Global RIS Market Size, by Region, 2025-2035 (USD Million)
Table 80. Applications in Satellite and Space Communications
Table 81.RIS Material Types and Applications
Table 82. Quantum RIS Concepts
Table 83. Biological and Health Implications
Table 84. Safety and Electromagnetic Compatibility Regulations
Table 85. Data Privacy and Security Considerations
Table 86. Environmental Impact Comparison: RIS vs. Traditional Wireless Infrastructure
Table 87. Energy Efficiency Metrics
Table 88. Life Cycle Assessment of RIS Technologies
Table 89. E-waste Management and Recycling
Table 90. Sustainable Manufacturing for RIS Technology
Table 91. Smart Grid Integration
Table 92. Environmental Impact of Large-Scale RIS Deployment
Table 93. Technical Challenges in RIS Implementation
Table 94. Glossary of Terms
Table 95. List of Abbreviations

List of Figures

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-R
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

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

Description

Table of Contents

List of Tables

Report contents include:

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. INTRODUCTION

3. RIS TECHNOLOGIES

4. RIS IN WIRELESS COMMUNICATION SYSTEMS

5. MARKET AND APPLICATIONS

6. MARKET ANALYSIS AND TRENDS

7. STANDARDIZATION AND REGULATORY ENVIRONMENT

8. ENVIRONMENTAL AND SUSTAINABILITY CONSIDERATIONS

9. CHALLENGES AND LIMITATIONS

10. COMPANY PROFILES (20 company profiles)

11. APPENDICES

12. REFERENCES

List of Tables

List of Figures