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市場調查報告書
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1433936

感知無線電市場佔有率分析、產業趨勢與統計、成長預測（2024-2029）

Cognitive Radio - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

感知無線電市場規模預計在2024年為88.4億美元，預計到2029年將達到189.6億美元，在預測期內（2024-2029年）複合年成長率為16.48%。

認知無線電 - 市場

新的5G技術將用於應對未來無線技術帶來的大量行動資料流量。更多容量將需要更多頻譜，從而將 CR 整合到 5G 網路中。 CR 的重點是更有效地利用頻譜，同時適應提供最佳的通訊頻道。

主要亮點

  • 當今世界，經濟和通訊基礎設施緊密相互依存。感知無線電將透過多種方式提高頻譜效率，使行動通訊範式更加個人化。 CR 識別頻譜中的空閒通道，並透過動態改變傳輸參數將它們用於通訊。提高了通路資源的有效利用。
  • 要在現實場景中實施該技術，必須克服幾個技術障礙。感知無線電需要靈敏地區分衰退的主訊號和閒置頻段訊號。在嚴重衰退的情況下，具有本地感測功能的單一感知無線電可能無法實現這種更高的靈敏度，因為所需的感測時間可能比感測週期長。
  • 在 COVID-19感染疾病期間和之後，許多日常業務變得越來越依賴網路。網路流量的顯著變化增加了對更多頻率的頻譜的需求，從而創造了對感知無線電市場的需求。
  • 農村寬頻通訊業者廣泛使用感知無線電將有助於獨立的農村通訊業者避免在未開發的農村市場部署無線電的高成本和有限的頻譜問題，這將增加無線電在公共方面的使用。

感知無線電市場趨勢

隨著5G應用的到來，通訊領域蓄勢待發

  • 大多數無線通訊系統基於固定頻率分配，導致頻譜利用率較低。工業應用、聯網汽車和其他 IT 支援的應用對物聯網的需求不斷成長，加速了對更多頻譜的需求。因此，感知無線電在這裡發揮關鍵作用，因為它會自動偵測無線電頻譜內的可用頻道，並允許同時進行更多通訊，而不會打擾授權使用者。
  • 根據GSMA統計，截至2022年11月底，已有87個國家超過225家業通訊業者推出5G服務。到年終，5G行動連線數預計將達到15億。這種成長將需要不同頻寬的額外頻譜資源。
  • 為了提升大容量情境下的動態使用者體驗，中興通訊與中國電信共同開發了基於中興通訊Radio Composer的自適應時空認知網路。網路方案分析不同時間內流量空間的分佈趨勢。

愛立信和 AXIAN Telecom 宣佈建立合作夥伴關係，在馬達加斯加提供更快、更可靠的行動服務，同時降低網路能耗並加強 5G 生態系統。透過此次合作，AXIAN 旨在加速馬達加斯加和坦尚尼亞的數位化，增加網路容量並為客戶提供更快的速度。

亞太地區在預測期內成長最快

  • 亞太地區國家處於 5G 行動技術的前沿。第一個商用5G網路已在韓國推出。儘管5G技術的建立還需要時間，但預計到2025年連線數將達到18億。
  • 700 MHz頻寬，特別是 3500 MHz 頻段，是目前 5G 的建議頻率，應盡可能成為獎項的主要關注點。 3500 MHz 內的確切頻譜範圍因國家而異。可能需要進行廣泛的重組工作，以最大限度地提高可用頻寬，同時確保行動電話營運商能夠獲得無干擾的頻譜。
  • Nokia、Docomo 和 NTT 正在合作開發新的 6G 技術。三人預計將致力於開發新的頻譜技術、感測器網路以及專門的認知和自動化架構。
  • 日本內務部（MIC）將推出頻譜競標，其中包括毫米波（mmWave）頻譜。該頻譜預計將用於固定無線接入，以增加體育場和其他大型場館的覆蓋範圍，並在住宅提供寬頻。

感知無線電產業概述

該市場競爭適度，滿足需求的參與者較少。這些感知無線電提供者正在與多家公司簽約並對其進行投資，以幫助他們擴展服務。隨著對快速、穩定的網路連接的需求的增加，增強型感知無線電解決方案的發展將進一步擴展網路連接的範圍。服務於該領域的主要企業包括 BAE Systems PLC、Thales Group、Raytheon Company 和 Rohde &Schwarz GmbH &Co. KG。

2022 年 10 月，STC 採用愛立信技術，確保在網路高流量高峰期間提供主動支援並改善客戶體驗。基於人工智慧的認知軟體解決方案利用自動化、巨量資料擴充性、速度、準確性和一致性來改善網路最佳化。該解決方案預計將有助於減少虛擬路測和遠端自動頻譜分析等營運活動中的碳排放。

2022年6月，印度理工學院Mandi開發了一款協作頻譜感測器，提供尖端的通訊解決方案並提高射頻頻譜的再生性。該解決方案的想法是，次要用戶使用的行動電話等無線設備可以安裝自己的感測器，可以檢測主要用戶未使用的頻譜空洞，並可以在主信道不可用時使用.就是這個意思。或者擁擠。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 調查先決條件
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 市場促進因素
    • 最佳化頻譜利用率的需求日益增加
    • 加大終端產業5G服務應用開發力度
  • 市場限制因素
    • 缺乏足夠的運算安全基礎設施
  • 產業吸引力－波特五力分析
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度
  • 產業價值鏈分析
  • 評估 COVID-19 對產業的影響

第5章市場區隔

  • 按用途
    • 頻譜感知和分配
    • 位置偵測
    • 認知路由
    • QoS（服務品質）最佳化
    • 其他用途
  • 按服務
    • 專業服務
    • 管理服務
  • 按最終用戶產業
    • 通訊業
    • IT和IT公司
    • 政府/國防
    • 運輸
    • 其他最終用戶產業
  • 地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 韓國
      • 其他亞太地區
    • 拉丁美洲
    • 中東/非洲

第6章 競爭形勢

  • 公司簡介
    • 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7章 投資分析

第8章 市場機會及未來趨勢

簡介目錄
Product Code: 67374

The Cognitive Radio Market size is estimated at USD 8.84 billion in 2024, and is expected to reach USD 18.96 billion by 2029, growing at a CAGR of 16.48% during the forecast period (2024-2029).

Cognitive Radio - Market

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