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市场调查报告书
商品编码
1642205

感知无线电-市场占有率分析、行业趋势和统计、成长预测（2025-2030 年）

Cognitive Radio - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

感知无线电市场规模预计在 2025 年为 103 亿美元，预计到 2030 年将达到 220.8 亿美元，预测期内（2025-2030 年）的复合年增长率为 16.48%。

认知无线电-市场-IMG1

新兴的5G技术将用于满足未来无线技术的大量行动资料流量。更大的容量将需要更多的频谱，从而导致CR整合到5G网路中。 CR 会不断调整自身以提供最佳的通讯管道，但重点在于实现更有效率的频谱利用率。

关键亮点

  • 当今世界，经济与通讯基础设施紧密依存。感知无线电从多个维度提高了频谱效率，使得行动通讯模式更加个人化。 CR 识别频段内的可用通道，并透过动态改变传输参数利用这些通道进行通讯。
  • 为了在现实场景中实现这项技术，必须克服几个技术障碍。感知无线电必须更加敏感，才能在衰退期间区分出主讯号和閒置频段。使用本地感知的单一感知无线电可能无法在严重衰落条件下实现这种增加的灵敏度，因为所需的感知时间可能比感知週期更长。
  • 在新冠肺炎疫情期间和之后，人们许多日常业务对网路的依赖增加了。网路流量的重大转变推动了对更多频率频谱的需求，从而产生了感知无线电市场的需求。
  • 农村宽频通讯业者广泛使用感知无线电将有助于农村独立通讯业者避免在欠发达农村市场部署无线电的高成本和有限的频谱问题，从而增加其在公共中的应用。

感知无线电市场趋势

随着 5G 应用的出现，通讯领域正在获得发展动力。

  • 大多数无线通讯系统基于固定频率分配，导致频率利用率低。工业IoT、连网汽车和其他 IT 应用的需求不断增长，加速了对更多频谱的需求。感知无线电在这里起着关键作用，因为它可以自动侦测无线电频段内的可用频道，从而允许更多通讯同时进行，而不会干扰授权使用者。
  • 根据GSMA统计，截至2022年11月底，已有87个国家的225多家业者推出了5G服务。到2023年终，5G行动连线数预计将达到15亿。这种成长将需要各个频段的额外频谱资源。
  • 为提升大容量情境下的动态使用者体验，中兴通讯与中国电信共同开发了基于中兴通讯Radio Composer的自适应时空认知网路。此网路解决方案分析了不同时间内交通空间的分布趋势。

爱立信与 AXIAN Telecom 宣布建立伙伴关係，为马达加斯加提供更快、更可靠的行动服务，同时降低网路能耗并加强 5G 生态系统。透过此次合作，AXIAN 旨在加速马达加斯加和坦尚尼亚的数位化进程，提高网路容量并为客户提供更快的通讯。

预测期内，亚太地区将成为成长最快的地区

  • 亚太国家处于5G行动技术的前沿。首个商用5G网路在韩国开通。 5G技术的建立需要时间，但预计到2025年将达到18亿个连接。
  • 700MHz频段，特别是3500MHz频段，是目前适合5G发展的频段，应尽可能优先分配。 3,500MHz 的特定频率范围因国家而异。可能需要进行大量的重新分配工作，以允许行动电话营运商最大限度地利用可用频宽，同时仍提供不受干扰的频谱存取。
  • Nokia、Docomo 和 NTT 正在合作开发新的 6G 技术。这三家公司预计将致力于新频率技术、网路感测器、认知、自动化和专用架构的研发。
  • 日本内务部将推出频谱竞标，包括毫米波（mmWave）频谱。该频谱预计将用于固定无线接入，以扩大体育场和其他大型场馆的覆盖范围，并为住宅提供宽频。

感知无线电产业概况

由于少数参与企业满足了需求，因此该市场竞争适中。这些感知无线电提供者正在与各种公司签订合约并进行投资，以帮助扩展他们的服务。随着对更快、更稳定的网路连接的需求不断增长，感知无线电解决方案的增强发展正在扩大业务成长的范围。该领域的一些主要参与者包括 BAE Systems PLC、Thales Group、Raytheon Company 和 Rohde &Schwarz GmbH & Co.KG。

2022年10月，STC采用爱立信技术，确保在其网路流量激增期间提供主动支援并改善客户体验。基于人工智慧的认知软体解决方案利用自动化、巨量资料可扩展性、速度、准确性和一致性来改善网路优化。该解决方案有望有助于排放虚拟驱动测试和远端自动频谱分析等营运活动产生的碳排放。

2022年6月，印度理工学院曼迪分校开发了一种合作频谱感测器，以提供尖端通讯解决方案并提高无线电频谱的再生性。该解决方案的想法是为次要用户使用的无线设备（如行动电话）配备自己的感测器，这些感测器可以检测主要用户未使用的频谱空洞，并在主频道不可用或拥塞时使用。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 调查前提条件
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场动态

  • 市场概况
  • 市场驱动因素
    • 频谱优化需求日益增加
    • 5G业务在终端产业应用发展不断加强
  • 市场限制
    • 缺乏适当的计算安全基础设施
  • 产业吸引力-波特五力分析
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • 产业价值链分析
  • COVID-19 工业影响评估

第五章 市场区隔

  • 按应用
    • 频谱感知与分配
    • 位置侦测
    • 认知路由
    • QoS（服务品质）最佳化
    • 其他的
  • 按服务
    • 专业服务
    • 託管服务
  • 按最终用户产业
    • 通讯业
    • IT 和 IT 公司
    • 政府和国防
    • 运输
    • 其他的
  • 地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 欧洲其他地区
    • 亚太地区
      • 中国
      • 日本
      • 韩国
      • 其他亚太地区
    • 拉丁美洲
    • 中东和非洲

第六章 竞争格局

  • 公司简介
    • BAE Systems PLC
    • Thales Group
    • Raytheon Company
    • Innovation Nutaq Inc.（NuRAN Wireless Inc.）
    • Shared Spectrum Company
    • Rohde & Schwarz GmbH & Co KG
    • Spectrum Signal Processing（Vecima）
    • Rockwell Collins Inc.（United Technologies Company）

第七章投资分析

第八章 市场机会与未来趋势

简介目录
Product Code: 67374

The Cognitive Radio Market size is estimated at USD 10.30 billion in 2025, and is expected to reach USD 22.08 billion by 2030, at a CAGR of 16.48% during the forecast period (2025-2030).

Cognitive Radio - Market - IMG1

The emerging 5G technologies are used to meet future wireless technologies' heavy mobile data traffic. More capacity will demand more spectrum, resulting in the integration of CR in 5G networks. The focus of CR is to enable much more efficient use of the spectrum, though it adapts itself to provide the optimum communications channel.

Key Highlights

  • In today's world, the economy and communication infrastructure closely depend on each other. With improved spectrum utilization efficiency in numerous dimensions, cognitive radio will make the mobile communication paradigm more personal. CR identifies the free channels in the spectrum and uses them for communication by dynamically changing the transmission parameters, leading to better utilization of channel resources.
  • Some technical hurdles must be overcome before the technology can be implemented in a real-world scenario. To differentiate between a primary signal that is fading and white space, cognitive radios must be more sensitive. A single cognitive radio using local sensing may not be able to achieve this improved sensitivity in cases of severe fading since the necessary sensing time may be longer than the sensing period.
  • There was an increased reliance on the internet for numerous daily tasks during and after the COVID-19 pandemic. The heavy shift towards network traffic urged the need for more spectrums with multiple frequencies, which created a demand for the cognitive radio market.
  • The extensive usage of cognitive radio by rural broadband telcos helps independent local carriers get around the issue of high costs and limited spectrum to deploy wireless in underdeveloped rural markets, thereby increasing its use for public safety.

Cognitive Radio Market Trends

Telecommunication Sector is Gaining Traction Due to Emergence of 5G Applications

  • As most wireless communication systems are based on fixed frequency allocation, this results in low spectrum utilization. The growing demand for IoT for industrial use, connected vehicles, and other IT-enabled applications is accelerating the need for more spectrums. Cognitive radio hence plays an important role here as it automatically detects available channels in a wireless spectrum, enabling more communication to run concurrently without obstructing the licensed users.
  • According to the GSMA, at the end of November 2022, more than 225 operators from 87 countries launched 5G services. By the end of 2023, the number of 5G mobile connections is expected to reach 1.5 billion. This growth will require additional spectrum resources in different frequency bands.
  • To enhance dynamic user experiences in high-capacity scenarios, ZTE Corporation and China Telecom jointly developed a self-adaptive spatiotemporal cognitive network based on ZTE's Radio Composer. The network solution analyzes the traffic space distribution trend in different periods.

Ericsson and AXIAN Telecom announced a partnership to provide faster and more reliable mobile services throughout Madagascar while reducing network energy consumption and enhancing the 5G ecosystem. Through this partnership, AXIAN aims to boost digitalization across Madagascar and Tanzania, increasing network capacities and providing enhanced speeds to its customers.

Asia-Pacific to Register the Fastest Growth During the Forecast Period

  • Countries in the Asia-Pacific region have been at the forefront of 5G mobile technologies. The first commercial 5G network was launched in South Korea. Though establishing 5G technology will take time, it is expected that it will reach 1.8 billion connections by 2025.
  • The 700 MHz bands, particularly the 3500 MHz range, are the currently preferred frequencies for 5G and should be the primary focus for awards wherever feasible. The precise range of spectrum within 3500 MHz varies by country. There may be a need for extensive refarming work to ensure that mobile operators have access to a spectrum that does not suffer from interference while maximizing the bandwidth available.
  • Nokia, Docomo, and NTT have partnered on emerging 6G technologies. The trio is projected to work to develop new spectrum technologies, a network as a sensor, and cognitive, automated, and specialized architectures.
  • Japan's Ministry of Internal Affairs and Communications (MIC) will introduce a spectrum auction, including a millimeter-wave (mmWave) spectrum. The spectrum is expected to be used for fixed wireless access to increase coverage in stadiums and other extensive facilities and deliver broadband in residential areas.

Cognitive Radio Industry Overview

A few players meet the demand, this market has moderate competition. These cognitive radio providers sign contracts and invest with various companies to help expand their services. As the demand for fast and stable network connections increases, they have a broader scope of expansion with the development of enhanced cognitive radio solutions. Some significant companies offering services in this sector include BAE Systems PLC, Thales Group, Raytheon Company, and Rohde & Schwarz GmbH & Co. KG.

In October 2022, STC adopted Ericsson's technologies to ensure proactive support and elevate customer experiences during surges in high traffic on the network. The AI-based Cognitive Software solution leverages automation, big data scalability, speed, accuracy, and consistency for improved network optimization. The solution was expected to contribute to reducing carbon dioxide emissions from operational activities like the use of virtual drive testing and remote automatic spectrum analysis.

In June 2022, the Indian Institute of Technology, Mandi, developed cooperative spectrum sensors to offer cutting-edge telecom solutions and improve the radio-frequency spectrum's reusability. The idea of this solution was that a wireless device, such as a cell phone, used by the secondary user could be fitted with a unique sensor that could detect spectrum holes that the primary user does not use and use them when the main channel is unavailable or crowded.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing Need to Optimise the Spectrum Utilisation
    • 4.2.2 Rising Development of 5G Service Applications Among End-user Industries
  • 4.3 Market Restraints
    • 4.3.1 Lack of Proper Computational Security Infrastructure
  • 4.4 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Buyers/Consumers
    • 4.4.2 Bargaining Power of Suppliers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry
  • 4.5 Industry Value Chain Analysis
  • 4.6 Assessment of COVID-19 impact on the industry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Spectrum Sensing & Allocation
    • 5.1.2 Location Detection
    • 5.1.3 Cognitive Routing
    • 5.1.4 QoS (Quality of Service) Optimisation
    • 5.1.5 Other Applications
  • 5.2 By Service
    • 5.2.1 Professional Services
    • 5.2.2 Managed Services
  • 5.3 By End-user Industry
    • 5.3.1 Telecommunication
    • 5.3.2 IT & ITes
    • 5.3.3 Government & Defense
    • 5.3.4 Transportation
    • 5.3.5 Other End-user Industries
  • 5.4 Geography
    • 5.4.1 North America
      • 5.4.1.1 United States
      • 5.4.1.2 Canada
    • 5.4.2 Europe
      • 5.4.2.1 United Kingdom
      • 5.4.2.2 Germany
      • 5.4.2.3 France
      • 5.4.2.4 Rest of Europe
    • 5.4.3 Asia-Pacific
      • 5.4.3.1 China
      • 5.4.3.2 Japan
      • 5.4.3.3 South Korea
      • 5.4.3.4 Rest of Asia-Pacific
    • 5.4.4 Latin America
    • 5.4.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 BAE Systems PLC
    • 6.1.2 Thales Group
    • 6.1.3 Raytheon Company
    • 6.1.4 Innovation Nutaq Inc. (NuRAN Wireless Inc.)
    • 6.1.5 Shared Spectrum Company
    • 6.1.6 Rohde & Schwarz GmbH & Co KG
    • 6.1.7 Spectrum Signal Processing (Vecima)
    • 6.1.8 Rockwell Collins Inc. (United Technologies Company)

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS