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市场调查报告书
商品编码
1779023
5G 安全市场 - 全球产业规模、份额、趋势、机会及预测(按产品、架构、网路安全、产业、地区、竞争)5G Security Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Offering, By Architecture, By Network Security, By Industry, By Region, By Competition 2020-2030F |
2024年,全球5G安全市场规模为37.6亿美元,预计2030年将达260.6亿美元,复合年增长率为38.08%。全球5G安全市场涵盖旨在保护5G网路、使用者和设备免受网路威胁的解决方案、服务和基础设施。 5G网路虽然实现了更快的速度、超低延迟和海量设备连接,但复杂性的提升、虚拟化基础设施和更开放的架构也带来了新的漏洞。 5G安全性涉及资料传输安全性、网路切片保护、身分管理以及跨互联繫统的端对端加密。
市场概览 | |
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预测期 | 2026-2030 |
2024年市场规模 | 37.6亿美元 |
2030年市场规模 | 260.6亿美元 |
2025-2030 年复合年增长率 | 38.08% |
成长最快的领域 | 卫生保健 |
最大的市场 | 北美洲 |
随着全球电信业者快速部署 5G 技术,对强大安全措施的需求变得至关重要。与前几代技术不同,5G 支援自动驾驶汽车、智慧製造和远端手术等关键任务应用。这些应用需要不间断的服务以及对网路完整性的高度信任。因此,政府和企业正在投资先进的 5G 安全解决方案,包括防火墙、端点安全、威胁情报平台和人工智慧驱动的威胁侦测工具。此外,欧盟和美国联邦通讯委员会等机构的法规和合规要求也促使利害关係人采用更强大的 5G 安全框架。
随着医疗保健、汽车和智慧城市等产业纷纷采用 5G 技术,5G 安全市场预计将大幅成长。人们对国家级网路攻击、资料隐私外洩以及国防和关键基础设施安全通讯需求日益增长的担忧,将进一步加速市场成长。供应商正专注于开发针对 5G 环境客製化的网路层级加密、零信任架构和云端原生安全工具。随着数位转型的深入和物联网的扩展,主动整合的 5G 安全策略将成为保护全球数位生态系统的核心,并在未来十年推动该市场的持续需求和创新。
5G基础设施和互联设备的快速扩张
保护网路切片和多租用户架构的复杂性
人工智慧和机器学习在威胁侦测中的集成
The Global 5G Security Market was valued at USD 3.76 Billion in 2024 and is expected to reach USD 26.06 Billion by 2030 with a CAGR of 38.08% through 2030. The Global 5G Security Market encompasses solutions, services, and infrastructure designed to protect 5G networks, users, and devices from cyber threats. As 5G networks enable faster speeds, ultra-low latency, and massive device connectivity, they also introduce new vulnerabilities due to increased complexity, virtualized infrastructure, and more open architecture. 5G security involves securing data transmission, protecting network slices, managing identities, and ensuring end-to-end encryption across connected systems.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 3.76 Billion |
Market Size 2030 | USD 26.06 Billion |
CAGR 2025-2030 | 38.08% |
Fastest Growing Segment | Healthcare |
Largest Market | North America |
With the rapid rollout of 5G technology by telecom operators globally, the demand for robust security measures has become essential. Unlike previous generations, 5G enables mission-critical applications such as autonomous vehicles, smart manufacturing, and remote surgeries. These applications require uninterrupted service and high trust in network integrity. As a result, governments and enterprises are investing in advanced 5G security solutions, including firewalls, endpoint security, threat intelligence platforms, and AI-driven threat detection tools. Furthermore, regulations and compliance mandates from bodies such as the European Union and the U.S. Federal Communications Commission are compelling stakeholders to adopt stronger 5G security frameworks.
The 5G Security Market is expected to grow significantly as industries such as healthcare, automotive, and smart cities adopt 5G-enabled technologies. Increasing concerns over nation-state cyberattacks, data privacy breaches, and the need for secure communications in defense and critical infrastructure will further accelerate market growth. Vendors are focusing on developing network-level encryption, zero-trust architectures, and cloud-native security tools tailored for 5G environments. As digital transformation intensifies and the Internet of Things expands, the importance of proactive and integrated 5G security strategies will become central to safeguarding global digital ecosystems, driving sustained demand and innovation in this market over the next decade.
Key Market Drivers
Rapid Expansion of 5G Infrastructure and Connected Devices
The accelerated global deployment of 5G infrastructure is fueling demand for advanced security frameworks. Governments and telecommunications companies are racing to build expansive 5G networks to support real-time data delivery, automation, and latency-sensitive applications. This mass expansion results in a broader attack surface, making security integration a mission-critical priority from the outset of deployment.
As 5G supports exponential growth in connected devices per square kilometer, vulnerabilities multiply. From smart meters and surveillance cameras to autonomous drones, each node becomes a potential target. Traditional security models cannot handle the dynamic and decentralized nature of 5G networks. Hence, zero-trust architectures and AI-based network monitoring are seeing robust adoption, accelerating investments in the 5G Security Market. In 2024, South Korea installed more than 340,000 5G base stations, marking a 30% increase year-on-year. These supported over 20 million connected devices, signaling how rapidly networks are scaling. Each base station and connected device expands the threat landscape, compelling operators to adopt layered, proactive security approaches to manage risk across the entire network.
Key Market Challenges
Complexity of Securing Network Slicing and Multi-Tenant Architectures
As 5G evolves beyond its predecessors, one of its most transformative features-network slicing-also becomes a critical security concern. Network slicing enables service providers to create multiple virtualized and isolated networks over a single physical infrastructure. These slices can be customized to meet distinct service-level requirements, catering to diverse industries such as healthcare, manufacturing, and autonomous transportation. However, this segmentation introduces a complex multi-tenant environment where different applications, services, and enterprises coexist within the same infrastructure. The challenge lies in ensuring that a compromise in one slice does not lead to lateral attacks across others. Traditional perimeter-based security models are inadequate in such a dynamic environment. Therefore, securing every individual slice with its own access controls, authentication mechanisms, and intrusion detection systems becomes essential. Without real-time visibility into inter-slice traffic and automated response mechanisms, operators face increased vulnerability and potential cascading failures.
The implementation of security within network slices is not uniform across service providers, often leading to inconsistent standards and increased risk exposure. Multi-tenancy exacerbates this issue, as tenants with varying levels of security maturity and compliance may operate side by side. Shared underlying infrastructure means one tenant's lax controls can indirectly endanger others, creating trust and accountability challenges. Regulators are yet to mandate strict guidelines for slice-level isolation, and most 5G architectures today are not equipped with native tools to monitor threats at this granular level. This shortfall forces providers to invest heavily in third-party security solutions or develop proprietary tools, which increases capital expenditure and operational complexity. The issue becomes more critical as enterprises rely on 5G for mission-critical operations. A breach affecting industrial automation or emergency services running on compromised slices could result in significant operational and financial damage, further underlining the urgency of resolving this architectural security challenge.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning in Threat Detection
Artificial Intelligence (AI) and Machine Learning (ML) are emerging as indispensable tools in the fight against increasingly complex 5G-related cyber threats. With the ultra-low latency and high device density that 5G supports, manual monitoring and traditional security analytics no longer suffice. AI-powered systems are being deployed to automate threat detection, predict anomalies in real-time, and respond to potential breaches before they cause systemic disruptions. These intelligent systems continuously learn from vast datasets-generated by 5G's massive machine-type communications-enabling faster identification of zero-day vulnerabilities and advanced persistent threats.
AI and ML enhance adaptive security models that evolve with shifting network conditions and attacker tactics. For telecom providers and enterprises, integrating these technologies into 5G security operations translates into reduced downtime, faster incident response, and stronger regulatory compliance. AI-driven security information and event management (SIEM) tools and behavior analytics platforms are being embedded within network slices and edge computing environments to safeguard mission-critical applications. This trend will accelerate as the cost of AI solutions decreases and as more stakeholders recognize the necessity of real-time, automated cyber defense in 5G environments.
In this report, the Global 5G Security Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global 5G Security Market.
Global 5G Security Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report: