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시장보고서
상품코드
1772675
댑 패킷 인스펙션(DPI) 시장 규모, 점유율, 성장 분석, 컴포넌트별, 전개 형태별, 설치별, 기업 규모별, 용도별, 최종 용도별, 지역별 - 산업 예측(2025-2032년)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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댑 패킷 인스펙션(DPI) 세계 시장 규모는 2023년 273억 달러, 2024년 344억 8,000만 달러에서 2032년에는 2,232억 5,000만 달러에 이르고, 예측 기간(2025년-2032년) CAGR은 26.3%를 나타낼 전망입니다.
랜섬웨어, 피싱, DDoS 공격과 같은 사이버 위협 증가는 기존 보안 대책의 한계를 드러내고, 심층 패킷 검사(DPI)를 필수적인 도구로 활용하기 위한 길을 열어주었습니다. 암호화된 데이터에 숨겨진 위협을 효과적으로 식별하고 완화합니다. 정부 기관 및 통신을 포함한 다양한 분야에서 DPI를 보안 프레임워크에 통합하여 지능형 사이버 스파이 및 지능형 지속 위협에 대응하고 있습니다. 기업들이 사전 예방적 보안 전략에 대한 투자를 강화하면서 DPI 솔루션에 대한 수요가 크게 증가하고 있습니다. 또한, 5G 네트워크의 확장으로 데이터 트래픽 관리 강화의 필요성이 대두되고 있으며, DPI는 통신 사업자가 대역폭 사용을 최적화하고, 네트워크 성능을 보장하며, 중요한 용도의 고품질 서비스를 유지하는 데 도움을 주고 있습니다.
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.