市场调查报告书
商品编码
1476304
到 2030 年感知无线电市场预测:按组件、应用、最终用户和地区进行的全球分析Cognitive Radio Market Forecasts to 2030 - Global Analysis By Component (Software, Hardware and Services), By Application (Spectrum Sensing & Allocation, Cognitive Routing, Location Detection and Other Applications), End User and By Geography |
根据Stratistics MRC预测,2023年全球感知无线电市场规模将达76亿美元,预计2030年将达到282.3亿美元,预测期内复合年增长率为20.6%。
感知无线电是一种智慧无线通讯系统,可根据即时环境条件和使用者需求动态调整工作参数。透过感知和适应可用频率来优化频率使用,从而实现高效可靠的通讯。感知无线电可提高频谱效率、减轻干扰并支援不同无线网路中的各种应用。
根据GSMA统计,截至2022年11月底,已有87个国家超过225通讯业者推出5G服务。
不断增长的行动资料需求
随着智慧型手机、物联网设备和其他无线技术的普及,资料消费量正在迅速增加。感知无线电技术透过智慧优化频宽的使用来满足这项需求,从而实现无线网路上更有效率、更可靠的资料传输。透过动态适应可用频率并有效管理频谱资源,感知无线电有助于满足不断增长的行动资料需求,同时提高网路容量和效能。
复杂性和互通性问题
实施感知无线电技术需要与现有的通讯系统和通讯协定集成,这可能非常复杂且成本高昂。确保不同感知无线电设备和网路之间的无缝互通性很困难,特别是由于标准和实现的变化。这种复杂性可能会阻碍采用,特别是在资源有限的小型组织中。
人工智慧和机器学习的进步
人工智慧演算法可以分析来自频谱感知的大量资料,以智慧预测并适应不断变化的无线环境。机器学习技术使无线电能够从经验中学习并即时优化频谱使用,以提高效率和性能。这些进步将使感知无线电能够智慧地分配资源、减轻干扰并支援日益复杂的无线应用,从而推动市场成长和创新。
安全问题
由于动态频谱存取和共用频谱环境固有的脆弱性,安全性问题对感知无线电市场构成了重大威胁。感知无线电网路容易受到各种安全威胁,包括频谱感知资料篡改、频谱劫持和未授权存取。恶意行为者可以利用这些漏洞来破坏通讯、损害资料完整性并获得对敏感资讯的未授权存取,从而限制市场成长。
COVID-19 的疫情对感知无线电市场既有正面的影响,也有负面的影响。对通讯和连接解决方案的需求不断增长正在推动市场成长,而供应链中断和经济不确定性也带来了挑战。然而,对数位转型的日益重视和灵活通讯技术的采用也为疫情期间的市场扩张提供了机会。
预计软体产业在预测期内将是最大的产业
在感知无线电市场中,软体部分预计将在预测期内成为最大的部分。这主要是由于越来越多地采用软体定义无线电(SDR) 解决方案,与传统的基于硬体的方法相比,该解决方案更加灵活、扩充性且更具成本效益。此外,人工智慧 (AI) 和机器学习 (ML) 技术的进步正在推动复杂的感知无线电软体的开发,这些软体可实现智慧频谱管理、动态频谱存取和高效的无线电资源分配,并推动软体领域的增长。
预计政府和国防部门在预测期内的复合年增长率最高。
由于军事通讯、频谱共用和战术无线电应用中越来越多地采用感知无线电技术,预计政府和国防部门在预测期内认知感知无线电市场将出现强劲增长。世界各国政府正在投资先进通讯系统,以加强其国家安全和国防能力,从而推动对感知无线电解决方案的需求。此外,有关频率分配和互通性标准的监管要求进一步推动了该领域的市场成长。
在预测期内,北美由于其先进的基础设施、高研发投资以及新兴技术的高采用率,预计将主导感知无线电市场。此外,北美的国防部门实力雄厚,推动了军事应用感知无线电的需求。此外,积极的政府措施以及产业参与者和研究机构之间的合作正在进一步加强市场成长轨迹并巩固北美在感知无线电市场的领导地位。
在预测期内,由于通讯基础设施投资增加、物联网设备采用不断增加以及对频率高效无线技术的需求不断增长等因素,预计亚太地区认知感知无线电市场将快速扩张。中国、印度和日本等政府正积极推行感知无线电倡议,以解决频谱短缺问题并支持数位转型工作。此外,该地区快速增长的工业部门和不断扩大的都市区增加了对先进通讯解决方案的需求,进一步推动了市场成长。
According to Stratistics MRC, the Global Cognitive Radio Market is accounted for $7.60 billion in 2023 and is expected to reach $28.23 billion by 2030 growing at a CAGR of 20.6% during the forecast period. Cognitive Radio is an intelligent wireless communication system that dynamically adjusts its operating parameters based on real-time environmental conditions and user requirements. It optimizes spectrum utilization by sensing and adapting to available frequencies, enabling efficient and reliable communication. Cognitive radio enhances spectrum efficiency, mitigates interference, and supports various applications across diverse wireless networks.
According to the GSMA, at the end of November 2022, more than 225 operators from 87 countries launched 5G services.
Growing demand for mobile data
With the proliferation of smartphones, IoT devices, and other wireless technologies, there has been an exponential increase in data consumption. Cognitive radio technology addresses this demand by intelligently optimizing spectrum utilization, enabling more efficient and reliable transmission of data over wireless networks. By dynamically adapting to available frequencies and managing spectrum resources effectively, cognitive radio helps meet the increasing demand for mobile data while enhancing network capacity and performance.
Complexity and interoperability issues
Implementing cognitive radio technology involves integrating with existing communication systems and protocols, which can be complex and costly. Ensuring seamless interoperability between different cognitive radio devices and networks is challenging, particularly due to variations in standards and implementations. This complexity may hinder adoption, especially among smaller organizations with limited resources.
Advancements in AI and machine learning
AI algorithms can analyze vast amounts of data from spectrum sensing to intelligently predict and adapt to changing radio environments. Machine learning techniques enable radios to learn from experience and optimize spectrum utilization in real-time, improving efficiency and performance. These advancements empower cognitive radio to intelligently allocate resources, mitigate interference, and support increasingly complex wireless applications, driving market growth and innovation.
Security concerns
Security concerns pose a significant threat to the cognitive radio market due to the inherent vulnerabilities in dynamic spectrum access and shared spectrum environments. Cognitive radio networks may be susceptible to various security threats, including spectrum sensing data falsification, spectrum hijacking, and unauthorized access. Malicious actors could exploit these vulnerabilities to disrupt communications, compromise data integrity, or gain unauthorized access to sensitive information, which will limit market growth.
The COVID-19 pandemic has both positively and negatively impacted the cognitive radio market. While the increased demand for remote communication and connectivity solutions has driven market growth, disruptions in supply chains and economic uncertainties have posed challenges. However, the growing emphasis on digital transformation and the adoption of flexible communication technologies have also presented opportunities for market expansion amidst the pandemic.
The software segment is expected to be the largest during the forecast period
In the cognitive radio market, the software segment is anticipated to emerge as the largest during the forecast period. This is primarily attributed to the increasing adoption of software-defined radio (SDR) solutions, which offer greater flexibility, scalability, and cost-effectiveness compared to traditional hardware-based approaches. Additionally, advancements in artificial intelligence (AI) and machine learning (ML) technologies are driving the development of sophisticated cognitive radio software, enabling intelligent spectrum management, dynamic spectrum access, and efficient radio resource allocation, thus fueling the growth of the software segment.
The government and defense segment is expected to have the highest CAGR during the forecast period
The government and defense segment is anticipated to experience robust growth during the forecast period in the cognitive radio market due to increased adoption of cognitive radio technology for military communications, spectrum sharing, and tactical radio applications. Governments worldwide are investing in advanced communication systems to enhance national security and defense capabilities, driving the demand for cognitive radio solutions. Additionally, regulatory mandates for spectrum allocation and interoperability standards further boost market growth in this segment.
Over the forecast period, North America is positioned to dominate the cognitive radio market owing to its advanced infrastructure, significant investments in R&D, and high adoption rate of emerging technologies. Additionally, North America has a robust defense sector, driving demand for cognitive radio in military applications. Moreover, supportive government initiatives and partnerships between industry players and research institutions further strengthen the market's growth trajectory, solidifying North America's leadership in the cognitive radio market.
Over the forecast period, the Asia Pacific region is poised for rapid expansion in the cognitive radio market due to factors such as increasing investments in telecommunications infrastructure, growing adoption of IoT devices, and rising demand for spectrum-efficient wireless technologies. Governments in countries like China, India, and Japan are actively promoting cognitive radio initiatives to address spectrum scarcity and support digital transformation efforts. Additionally, the region's burgeoning industrial sector and expanding urban populations drive the need for advanced communication solutions, further fueling market growth.
Key players in the market
Some of the key players in Cognitive Radio Market include Aviat Networks, Inc., BAE Systems plc, Cobham plc, Cognitive Systems Corporation, Ericsson AB, Huawei Technologies Co., Ltd., Indra Sistemas, S.A., Intellisense Systems Inc., Keysight Technologies, Inc., NEC Corporation, Neva SGR, Nokia Corporation, Qualcomm Incorporated, Raytheon Technologies Corporation, Rohde & Schwarz GmbH & Co KG, Shared Spectrum Company, Spectrum Signal Processing by Vecima, Texas Instruments Incorporated, Thales Group and Xilinx, Inc.
In September 2023, Rohde and Schwarz collaborated with Greenerwave to validate Reconfigurable Intelligent Surface (RIS) modules, showcasing their ability to improve wireless communication efficiency, particularly in 5G FR2. This research lays the foundation for progress in 6G technology.
In March 2023, Intellisense Systems Inc. selected BrainChip's Akida neuromorphic technology to improve the cognitive communication capabilities on size, weight, and power (SWaP)-constrained platforms (such as spacecraft and robotics) for commercial and government markets. The NECR technology from Intellisense offers NASA a variety of applications and can be used to improve the stability and dependability of space communication and networking, particularly for cognitive radio equipment.
In February 2023, Italian manufacturer Neva SGR invested in CoreTigo, which provides machine builders, automation equipment manufacturers, and system integrators with the tools to create, most reliably and cost-effectively, more connected production environments no longer constrained by wires. CoreTigo decreases the complexity of industrial automation systems by reimagining traditional network and connectivity concepts.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.