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市場調査レポート
商品コード
1772675
ディープパケットインスペクション市場規模、シェア、成長分析、コンポーネント別、展開別、設置別、企業規模別、用途別、最終用途別、地域別 - 産業予測、2025年~2032年Deep Packet Inspection Market Size, Share, and Growth Analysis, By Component (Solution, Services), By Deployment (Cloud, On-premises), By Installation, By Enterprise Size, By Application, By End Use, By Region - Industry Forecast 2025-2032 |
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ディープパケットインスペクション市場規模、シェア、成長分析、コンポーネント別、展開別、設置別、企業規模別、用途別、最終用途別、地域別 - 産業予測、2025年~2032年 |
出版日: 2025年07月11日
発行: SkyQuest
ページ情報: 英文 196 Pages
納期: 3~5営業日
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ディープパケットインスペクションの世界市場規模は、2023年に273億米ドルと評価され、2024年の344億8,000万米ドルから2032年には2,232億5,000万米ドルに成長し、予測期間(2025年〜2032年)のCAGRは26.3%で成長する見通しです。
ランサムウェア、フィッシング、DDoS攻撃などのサイバー脅威の増加は、従来のセキュリティ対策の限界を露呈し、不可欠なツールとしてディープパケットインスペクション(DPI)に道を開いた。DPIは、ネットワークトラフィックをパケットレベルで解析し、暗号化されたデータに隠された脅威を効果的に特定して緩和します。政府機関や通信を含む様々なセクターが、高度なサイバースパイや高度な持続的脅威に対抗するため、DPIをセキュリティフレームワークに統合しています。企業がプロアクティブなセキュリティ戦略への投資を強化する中、DPIソリューションの需要は大きな伸びを示しています。さらに、5Gネットワークの拡大により、データトラフィック管理の強化の必要性が高まっており、DPIは通信事業者の帯域幅利用の最適化、ネットワークパフォーマンスの確保、重要なアプリケーションの高品質サービスの維持に役立っています。
Global Deep Packet Inspection Market size was valued at USD 27.3 billion in 2023 and is poised to grow from USD 34.48 billion in 2024 to USD 223.25 billion by 2032, growing at a CAGR of 26.3% during the forecast period (2025-2032).
The rise in cyber threats like ransomware, phishing, and DDoS attacks has exposed the limitations of traditional security measures, paving the way for deep packet inspection (DPI) as an essential tool. DPI analyzes network traffic at the packet level, effectively identifying and mitigating threats hidden in encrypted data. Various sectors, including government and telecommunications, are integrating DPI into their security frameworks to combat sophisticated cyber espionage and advanced persistent threats. As organizations ramp up investment in proactive security strategies, the demand for DPI solutions is witnessing significant growth. Furthermore, the expansion of 5G networks is driving the need for enhanced data traffic management, as DPI helps telecom operators optimize bandwidth use, ensure network performance, and maintain high-quality service for critical applications.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Deep Packet Inspection market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Deep Packet Inspection Market Segments Analysis
Global Deep Packet Inspection Market is segmented by Component, Deployment, Installation, Enterprise Size, Application, End Use and region. Based on Component, the market is segmented into Solution and Services. Based on Deployment, the market is segmented into Cloud and On-premises. Based on Installation, the market is segmented into Integrated and Standalone. Based on Enterprise Size, the market is segmented into Small And Medium Size Enterprises and Large Size Enterprises. Based on Application, the market is segmented into Network Security, Network Management, Network & Subscriber Analysis, Content Regulation and Others. Based on End Use, the market is segmented into Banking, Financial Services and Insurance (BFSI), Government, Healthcare, IT & Telecom, Manufacturing, Retail and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Deep Packet Inspection Market
The increasing frequency and sophistication of cyberattacks, malware, and data breaches significantly drive the demand for deep packet inspection solutions. Organizations require AI-driven deep packet inspection to effectively analyze encrypted traffic, detect anomalies, and thwart security threats in real time. Additionally, the necessity to comply with various regulations further motivates businesses to adopt advanced network security frameworks based on deep packet inspection. As cyber threats evolve, the need for robust, effective security measures becomes paramount, leading companies to seek innovative solutions that ensure both protection and compliance, enhancing their overall network security posture.
Restraints in the Global Deep Packet Inspection Market
The global deep packet inspection market faces significant challenges due to the demanding processing power needed to evaluate substantial amounts of network traffic. This requirement can lead to decreased network performance and heightened latency concerns, particularly within high-speed networks like 5G and fiber-optic systems. Ensuring seamless real-time analysis in these environments is difficult, as it risks compromising both user experience and overall operational efficiency. As the complexity of network traffic increases, balancing effective deep packet inspection with maintaining optimal performance remains a critical hurdle for industry stakeholders.
Market Trends of the Global Deep Packet Inspection Market
The global deep packet inspection (DPI) market is witnessing a significant shift towards AI-powered solutions, enhancing capabilities in threat detection and traffic analysis. As enterprises contend with increasingly sophisticated cyber threats, the integration of AI and machine learning in DPI technology is becoming essential. This trend is particularly evident in sectors such as telecommunications, financial services, and cloud computing, where data privacy and security are paramount. These advanced DPI solutions not only automate threat identification but also provide real-time responses to mitigate risks, driving greater efficiency and resilience in network management. This evolution underscores the growing importance of intelligent security measures in an interconnected digital landscape.