5G 보안 세계 시장 규모는 2024년에 37억 6,000만 달러, 2030년까지 CAGR은 38.08%로 2030년에는 260억 6,000만 달러에 달할 것으로 예측됩니다.
5G 보안 세계 시장에는 5G 네트워크, 사용자, 디바이스를 사이버 위협으로부터 보호하기 위해 설계된 솔루션, 서비스, 인프라가 포함됩니다. 5G 네트워크는 빠른 속도, 초저지연, 대규모 디바이스 연결을 가능하게 하는 반면, 복잡성, 가상화된 인프라, 개방형 아키텍처로 인해 새로운 취약점을 야기할 수 있습니다. 5G 보안은 데이터 전송의 안전성 확보, 네트워크 슬라이스 보호, 아이덴티티 관리, 연결된 시스템 전체의 엔드투엔드 암호화 등을 다룹니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 37억 6,000만 달러 |
| 시장 규모 : 2030년 | 260억 6,000만 달러 |
| CAGR : 2025-2030년 | 38.08% |
| 급성장 부문 | 헬스케어 |
| 최대 시장 | 북미 |
전 세계 통신사업자들이 5G 기술을 빠르게 도입함에 따라 강력한 보안 대책에 대한 요구가 높아지고 있습니다. 이전 세대와 달리 5G는 자율주행차, 스마트 제조, 원격 수술과 같은 미션 크리티컬한 애플리케이션을 가능하게 합니다. 이러한 애플리케이션은 중단 없는 서비스와 네트워크 무결성에 대한 높은 신뢰성이 요구됩니다. 이에 따라 정부와 기업은 방화벽, 엔드포인트 보안, 위협 인텔리전스 플랫폼, AI 기반 위협 탐지 도구 등 첨단 5G 보안 솔루션에 투자하고 있습니다. 또한, 유럽연합(EU), 미국 연방통신위원회(FCC) 등의 규제와 컴플라이언스 의무화로 인해 이해관계자들은 더욱 강력한 5G 보안 프레임워크를 채택해야 하는 상황에 직면해 있습니다.
5G 보안 시장은 헬스케어, 자동차, 스마트 시티 등의 산업에서 5G 대응 기술을 채택함에 따라 크게 성장할 것으로 예상됩니다. 국가의 사이버 공격과 데이터 프라이버시 침해에 대한 우려의 증가, 국방 및 중요 인프라에서 안전한 통신에 대한 필요성은 시장 성장을 더욱 가속화할 것으로 보입니다. 벤더들은 5G 환경에 맞는 네트워크 레벨 암호화, 제로 트러스트 아키텍처, 클라우드 네이티브 보안 툴 개발에 집중하고 있습니다. 디지털 전환이 심화되고 사물인터넷이 확대됨에 따라 선제적이고 통합적인 5G 보안 전략의 중요성은 세계 디지털 생태계를 보호하고 향후 10년간 이 시장의 지속적인 수요와 혁신을 촉진하기 위한 핵심적인 역할을 하게 될 것입니다.
5G 인프라와 커넥티드 디바이스의 급속한 확대
네트워크 슬라이싱과 멀티테넌트 아키텍처의 보안 확보의 복잡성
위협 탐지에 인공지능과 머신러닝을 통합하는 방법
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 | |
|---|---|
| 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: