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市場調査レポート
商品コード
1779023
5Gセキュリティ市場- 世界の産業規模、シェア、動向、機会、予測、提供別、アーキテクチャ別、ネットワークセキュリティ別、産業別、地域別、競合、2020年~2030年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 |
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カスタマイズ可能
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5Gセキュリティ市場- 世界の産業規模、シェア、動向、機会、予測、提供別、アーキテクチャ別、ネットワークセキュリティ別、産業別、地域別、競合、2020年~2030年 |
出版日: 2025年07月29日
発行: TechSci Research
ページ情報: 英文 185 Pages
納期: 2~3営業日
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5Gセキュリティの世界市場規模は2024年に37億6,000万米ドル、2030年までのCAGRは38.08%で2030年には260億6,000万米ドルに達すると予測されています。
5Gセキュリティの世界市場には、5Gネットワーク、ユーザー、デバイスをサイバー脅威から保護するために設計されたソリューション、サービス、インフラが含まれます。5Gネットワークは、高速化、超低遅延、大規模なデバイス接続を可能にする一方で、複雑化、仮想化されたインフラ、よりオープンなアーキテクチャにより、新たな脆弱性をもたらします。5Gセキュリティでは、データ伝送の安全性確保、ネットワークスライスの保護、アイデンティティの管理、接続されたシステム全体でのエンドツーエンドの暗号化などを扱っています。
市場概要 | |
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予測期間 | 2026年~2030年 |
市場規模:2024年 | 37億6,000万米ドル |
市場規模:2030年 | 260億6,000万米ドル |
CAGR:2025年~2030年 | 38.08% |
急成長セグメント | ヘルスケア |
最大市場 | 北米 |
世界の通信事業者による5G技術の急速な展開に伴い、強固なセキュリティ対策の需要が不可欠となっています。旧世代とは異なり、5Gは自律走行車、スマート製造、遠隔手術などのミッションクリティカルなアプリケーションを可能にします。これらのアプリケーションでは、中断のないサービスとネットワークの完全性に対する高い信頼性が求められます。その結果、政府や企業は、ファイアウォール、エンドポイントセキュリティ、脅威インテリジェンスプラットフォーム、AI主導の脅威検出ツールなど、先進的な5Gセキュリティソリューションへの投資を進めています。さらに、欧州連合(EU)や米国連邦通信委員会(FCC)などの規制やコンプライアンスの義務化により、利害関係者はより強力な5Gセキュリティフレームワークの採用を迫られています。
5Gセキュリティ市場は、ヘルスケア、自動車、スマートシティなどの業界が5G対応技術を採用するにつれて大きく成長すると予想されます。国家によるサイバー攻撃やデータプライバシー侵害に対する懸念の高まり、防衛や重要インフラにおける安全な通信の必要性は、市場の成長をさらに加速させると思われます。ベンダーは、5G環境に合わせたネットワークレベルの暗号化、ゼロトラストアーキテクチャ、クラウドネイティブなセキュリティツールの開発に注力しています。デジタルトランスフォーメーションが激化し、モノのインターネットが拡大するにつれて、プロアクティブで統合的な5Gセキュリティ戦略の重要性は、世界なデジタルエコシステムを保護するための中心的存在となり、今後10年間、この市場における持続的な需要とイノベーションを促進します。
5Gインフラとコネクテッドデバイスの急速な拡大
ネットワークスライシングとマルチテナントアーキテクチャのセキュリティ確保の複雑さ
脅威検知における人工知能と機械学習の統合
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: