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Reconfigurable Intelligent Surfaces (RIS) Global Market 2025-2035

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  • Published: September 2024
  • Pages: 215
  • Tables: 30
  • Figures: 38

 

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            12

  • 1.1        Overview of Reconfigurable Intelligent Surfaces (RIS)        12
  • 1.2        Key Market Drivers and Challenges 14
  • 1.3        Technology Trends      16
  • 1.4        Metamaterial key to RIS          17
  • 1.5        Market Size and Growth Projections               18
  • 1.6        Competitive Landscape Overview   19
  • 1.7        Future Outlook and Opportunities   20

 

2             INTRODUCTION          22

  • 2.1        Technology overview 22
    • 2.1.1    Key features and functionality            23
    • 2.1.2    Frequencies    26
    • 2.1.3    Physics of Electromagnetic Wave Manipulation     28
      • 2.1.3.1 Reflection         29
      • 2.1.3.2 Refraction        30
      • 2.1.3.3 Diffraction       31
      • 2.1.3.4 Absorption       32
    • 2.1.4    RIS Operating Principles         32
      • 2.1.4.1 Passive RIS      33
      • 2.1.4.2 Active RIS         35
      • 2.1.4.3 Hybrid RIS        36
    • 2.1.5    Key Performance Parameters             37
      • 2.1.5.1 Reflection Coefficient              38
      • 2.1.5.2 Phase Shift Range      39
      • 2.1.5.3 Bandwidth       39
      • 2.1.5.4 Power Consumption 40
      • 2.1.5.5 Reconfiguration Speed            40
    • 2.1.6    Design Considerations for RIS            42
      • 2.1.6.1 Surface Element Design         42
      • 2.1.6.2 Array Configuration   43
      • 2.1.6.3 Control Mechanisms 44
      • 2.1.6.4 Integration with Existing Infrastructure         46
  • 2.2        System Architecture  46
  • 2.3        Importance in Modern Wireless Communications               47
  • 2.4        Advantages Over Traditional Wireless Technologies            48
  • 2.5        Current Limitations and Challenges               49
  • 2.6        Comparison with Other Smart Electromagnetic (EM) Devices      51

 

3             RIS TECHNOLOGIES 54

  • 3.1        Metasurfaces 54
    • 3.1.1    Principles of Metasurfaces   55
    • 3.1.2    Types of Metasurfaces            55
    • 3.1.3    Fabrication Techniques           60
    • 3.1.4    Performance Characteristics              61
  • 3.2        Liquid Crystal-based RIS        63
    • 3.2.1    Operating Principles  63
    • 3.2.2    Advantages and Limitations 64
  • 3.3        MEMS-based RIS         67
    • 3.3.1    MEMS Technology Overview 68
    • 3.3.2    Design and Fabrication           69
    • 3.3.3    Performance Metrics 71
  • 3.4        Varactor Diode-based RIS     71
    • 3.4.1    Overview           72
  • 3.5        PIN Diode-based RIS 73
    • 3.5.1    Overview           73
  • 3.6        Other Materials            74
    • 3.6.1    Ferroelectric materials            75
    • 3.6.2    Phase Change Materials         76
    • 3.6.3    Graphene         77
  • 3.7        Comparison of RIS Technologies      80
    • 3.7.1    Performance Metrics 80
    • 3.7.2    Cost Analysis 81
    • 3.7.3    Scalability and Manufacturing Considerations       82

 

4             RIS IN WIRELESS COMMUNICATION SYSTEMS      84

  • 4.1        Integration with 5G Networks              84
    • 4.1.1    Enhanced Mobile Broadband (eMBB)           84
    • 4.1.2    Ultra-Reliable Low-Latency Communication (URLLC)       85
    • 4.1.3    Massive Machine-Type Communications (mMTC) 87
  • 4.2        6G and Beyond             89
    • 4.2.1    RIS in Terahertz Communications    89
    • 4.2.2    Holographic Radio     91
    • 4.2.3    Intelligent Reflecting Surfaces for Satellite Communications       92
  • 4.3        MIMO Systems and RIS           94
    • 4.3.1    RIS-assisted MIMO    94
    • 4.3.2    RIS-based Massive MIMO      96
    • 4.3.3    Performance Enhancements and Challenges          97
  • 4.4        Beamforming and RIS              99
    • 4.4.1    Passive Beamforming              100
    • 4.4.2    Hybrid Beamforming with RIS             101
    • 4.4.3    Adaptive Beamforming Techniques 102
  • 4.5        Energy Efficiency in Wireless Networks        104
    • 4.5.1    RIS for Green Communications         104
    • 4.5.2    Energy Harvesting with RIS   105
    • 4.5.3    Power Consumption Analysis            107

 

5             MARKETS AND APPLICATIONS              109

  • 5.1        Telecommunications                109
    • 5.1.1    Coverage Enhancement         109
    • 5.1.2    Capacity Improvement            111
    • 5.1.3    Interference Mitigation            112
    • 5.1.4    Market forecast            113
  • 5.2        Smart Cities and IoT  114
    • 5.2.1    Urban Environment Monitoring          115
    • 5.2.2    Smart Transportation Systems           116
    • 5.2.3    Energy Management in Buildings      117
    • 5.2.4    Market forecast            117
  • 5.3        Industrial IoT and Industry 4.0            119
    • 5.3.1    Factory Automation   119
    • 5.3.2    Warehouse Management      120
    • 5.3.3    Process Control and Monitoring       121
    • 5.3.4    Market forecast (IoT) 122
  • 5.4        Healthcare and Medical Applications           124
    • 5.4.1    Wireless Body Area Networks             124
    • 5.4.2    Remote Patient Monitoring   125
    • 5.4.3    Medical Imaging Enhancement         126
  • 5.5        Automotive and Transportation         128
    • 5.5.1    Vehicle-to-Everything (V2X) Communications        128
    • 5.5.2    Autonomous Vehicles              129
    • 5.5.3    Intelligent Transportation Systems  130
    • 5.5.4    Market forecast (IoT) 131
  • 5.6        Aerospace and Defense         133
    • 5.6.1    Radar Systems Enhancement            133
    • 5.6.2    Secure Communications      135
    • 5.6.3    Stealth Technology     136
  • 5.7        Smart Home and Consumer Electronics     137
    • 5.7.1    In-home Wireless Coverage Optimization  138
    • 5.7.2    Device-to-Device Communications               139
    • 5.7.3    Augmented and Virtual Reality Applications             140

 

6             MARKET ANALYSIS AND TRENDS     142

  • 6.1        Global Market Size and Growth Projections              142
    • 6.1.1    Market Segmentation by Technology              142
    • 6.1.2    Market Segmentation by Application             143
    • 6.1.3    Market Segmentation by Geography              145
  • 6.2        Key Market Drivers      147
    • 6.2.1    Increasing Demand for High-Speed, Low-Latency Communications      147
    • 6.2.2    Growth in IoT and Smart Device Adoption  148
    • 6.2.3    Advancements in 5G and 6G Technologies                149
    • 6.2.4    Need for Energy-Efficient Wireless Solutions           150
  • 6.3        Market Challenges and Barriers        151
    • 6.3.1    High Initial Implementation Costs   151
    • 6.3.2    Technical Complexities in Large-Scale Deployment            152
    • 6.3.3    Standardization and Interoperability Issues              153
    • 6.3.4    Regulatory and Compliance Challenges     153
  • 6.4        Emerging Market Opportunities         154
    • 6.4.1    Integration with Edge Computing     154
    • 6.4.2    RIS for Satellite and Space Communications          155
    • 6.4.3    Advanced Materials for RIS   156
    • 6.4.4    AI and Machine Learning Integration              157
    • 6.4.5    Quantum RIS Concepts          158
    • 6.4.6    Cognitive RIS  159
    • 6.4.7    Self-configuring and Self-healing RIS            160
    • 6.4.8    Integration with Blockchain for Secure Communications 161
  • 6.5        Future Outlook             162
    • 6.5.1    RIS in 6G and Beyond               162
    • 6.5.2    Holographic Communications           163
    • 6.5.3    Space-based RIS Networks  163
    • 6.5.4    AI and Machine Learning in RIS Control       164
    • 6.5.5    RIS for Terahertz and Optical Wireless Communications 165
    • 6.5.6    Biological and Health Implications of Large-Scale RIS Deployment          166

 

7             STANDARDIZATION AND REGULATORY ENVIRONMENT   167

  • 7.1        Current Standards Related to RIS    167
    • 7.1.1    IEEE Standards             167
    • 7.1.2    3GPP Specifications 167
    • 7.1.3    ETSI Standards             168
  • 7.2        Spectrum Allocation and Management       168
    • 7.2.1    Safety and Electromagnetic Compatibility Regulations    168
    • 7.2.2    Data Privacy and Security Considerations 169

 

8             ENVIRONMENTAL AND SUSTAINABILITY CONSIDERATIONS        171

  • 8.1        Energy Efficiency of RIS-enabled Networks               172
  • 8.2        Life Cycle Assessment of RIS Technologies               173
  • 8.3        E-waste Management and Recycling             173
  • 8.4        Sustainable Manufacturing Practices            174
  • 8.5        RIS Role in Smart Grid and Energy Management    175
  • 8.6        Environmental Impact of Large-Scale RIS Deployment     175

 

9             CHALLENGES AND LIMITATIONS     176

  • 9.1        Technical Challenges in RIS Implementation           176
  • 9.2        Scaling Up Production and Cost Reduction              177
  • 9.3        Integration with Existing Infrastructure         178
  • 9.4        Performance in Complex Environments      179
  • 9.5        Security and Privacy Concerns          179

 

10          COMPANY PROFILES                181 (19 company profiles)

 

11          APPENDICES  203

  • 11.1     Glossary of Terms       203
  • 11.2     List of Abbreviations  205
  • 11.3     Research Methodology           207

 

12          REFERENCES 208

 

List of Tables

  • Table 1. Key Market Drivers and Challenges in RIS.              14
  • Table 2. Future Outlook and Opportunities in RIS. 20
  • Table 3. Overview of different RIS types.      23
  • Table 4. RIS operation phases.           24
  • Table 5. RIS Hardware.             24
  • Table 6. Comparison of different RIS techniques.  25
  • Table 7. RIS functionalities.  26
  • Table 8. Challenges for fully functionalized RIS environments.    27
  • Table 9. Benchmarking of Reconfigurable Intelligent Surfaces (RIS) types.          32
  • Table 10. Comparison of Key Performance Metrics for Different RIS Technologies.        37
  • Table 11. Bandwidth and Frequency Ranges for Various RIS Technologies.         39
  • Table 12. Energy Efficiency Comparison: RIS-enabled vs. Traditional Wireless Networks.         40
  • Table 13. Reconfiguration Speed Comparison Across Different RIS Types.          40
  • Table 14. Advantages Over Traditional Wireless Technologies.     48
  • Table 15. Current Limitations and Challenges,       49
  • Table 16. RIS vs Other Smart Electromagnetic (EM) Devices.        51
  • Table 17. Metasurface fabrication techniques.       60
  • Table 18. Distinguishing between conductive and optical metamaterials.           61
  • Table 19. Advantages and Limitations of Liquid Crystal-based RIS.          65
  • Table 20. Comparison of RIS Performance in Different Environmental Conditions.        80
  • Table 21. Global market forecast for RIS Adoption in 5G/6G Networks (2025-2035), Millions USD.     113
  • Table 22. Global market forecast for RIS Adoption in Smart Cities (2025-2035), Millions USD.              117
  • Table 23. Global market forecast for RIS Adoption in IoT Applications (2025-2035), Millions USD.      122
  • Table 24. Global market forecast for RIS Adoption in Automotive and Transportation (2025-2035), Millions USD. 131
  • Table 25. Global RIS Market Size, by Technology Type, 2025-2035 (USD Million).            142
  • Table 26. Global RIS Market Size, by Application, 2025-2035 (USD Million).       144
  • Table 27. Global RIS Market Size, by Region, 2025-2035 (USD Million).  145
  • Table 28. Environmental Impact Comparison: RIS vs. Traditional Wireless Infrastructure,        171
  • Table 29. Glossary of Terms. 203
  • Table 30. List of Abbreviations.          205

 

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.          12
  • Figure 2. Basic RIS application: coverage extension in a cellular network.            22
  • Figure 3. Schematic Diagram of a Typical RIS Structure.   22
  • Figure 4. Intelligent reflection and refraction.           28
  • Figure 5. Comparison of Reflection Coefficient Across Different RIS Technologies.       29
  • Figure 6. Comparison of Phase Shift Range Across Different RIS Technologies.                39
  • Figure 7. Power Consumption Comparison of RIS Technologies. 40
  • Figure 8. Reconfiguration Speed Ranges of RIS Technologies (Range Plot).         41
  • Figure 9. Feed modules, reconfigurable electromagnetic surfaces and control modules.         47
  • Figure 10. Scanning electron microscope (SEM) images of several metalens antenna forms. 57
  • Figure 11. Transparent and flexible metamaterial film developed by Sekishi Chemical.             58
  • Figure 12. Comparison between 5G and 6G wireless systems in terms of key-performance indicators.                89
  • Figure 13. RIS-enabled, self-sufficient ultra-massive 6G UM-MIMO base station design.          94
  • Figure 14. Active and passive beamforming in RIS-assisted cell-free massive MIMO.   97
  • Figure 15. Lumotive advanced beam steering concept.    99
  • Figure 16. RIS-assisted outdoor macro station .     110
  • Figure 17. RIS-assisted indoor enhancement of outdoor macro station coverage.         111
  • Figure 18. Global market forecast for RIS Adoption in 5G/6G Networks (2025-2035), Millions USD.   113
  • Figure 19. Global market forecast for RIS Adoption in Smart Cities (2025-2035), Millions USD.            118
  • Figure 20. Global market forecast for RIS Adoption in IoT Applications (2025-2035), Millions USD.    123
  • Figure 21. Global market forecast for RIS Adoption in Automotive and Transportation (2025-2035), Millions USD. 131
  • Figure 22. RIS-based satellite communication scenario.  135
  • Figure 23. Global RIS Market Size, by Technology Type, 2025-2035 (USD Million).          142
  • Figure 24. Global RIS Market Size, by Application, 2025-2035 (USD Million).     144
  • Figure 25. Global RIS Market Size, by Region, 2025-2035 (USD Million). 146
  • Figure 26. RIS-enabled wireless edge computing. 154
  • Figure 27. Edgehog Advanced Technologies Omnidirectional anti-reflective coating.   183
  • Figure 28. Evolv Edge screening system.     184
  • Figure 29. FM/R technology. 186
  • Figure 30. Metablade antenna.          187
  • Figure 31. MTenna flat panel antenna.          190
  • Figure 32. Kymeta u8 antenna installed on a vehicle.          190
  • Figure 33. LIDAR system for autonomous vehicles.              193
  • Figure 34. Light-control metasurface beam-steering chips.           194
  • Figure 35. Metaboard wireless charger.        195
  • Figure 36. Meta Nanoweb® Sekisui. 196
  • Figure 37. NTT DOCOMO transparent RIS. 199
  • Figure 38. ZTE dynamic reconfigurable intelligent surface 2.0 product.  202

 

 

 

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