Network Forensics Market is Expected to grow at a robust CAGR of 14.78% through 2030F

Network Forensics Market is increasing due to the rising need for advanced threat detection and investigation amid growing cyberattacks and digital transformation during the forecast period 2026-2030F.      

According to TechSci Research report, “Network Forensics Market – Global Industry Size, Share, Trends, Competition Forecast & Opportunities, 2020-2030F”, The Global Network Forensics Market was valued at USD 2.77 billion in 2024 and is expected to reach USD 6.39 billion by 2030 with a CAGR of 14.78% during the forecast period.

The integration of artificial intelligence (AI) and machine learning (ML) into network forensics solutions is a pivotal driver for the network forensics market, as these technologies revolutionize the speed and accuracy of threat detection and analysis. AI and ML enable forensics platforms to process massive volumes of network traffic data in real time, identifying patterns, anomalies, and potential threats that would be impossible to detect manually. These technologies can correlate data from multiple sources, such as firewalls, IDS, and NetFlow records, to uncover hidden threats like insider attacks or zero-day exploits.

AI-driven network forensics tools also support predictive analytics, allowing organizations to anticipate and mitigate risks before they escalate. By learning from historical data, ML algorithms improve the accuracy of anomaly detection and reduce false positives, enabling faster incident response. The complexity of modern cyberattacks, which often involve encrypted traffic or lateral movement within networks, necessitates advanced forensics capabilities that AI and ML provide.

Industries such as finance, healthcare, and IT are increasingly adopting AI-powered network forensics to enhance their cybersecurity posture and streamline investigations. The automation of repetitive tasks, such as log analysis and packet inspection, frees up security teams to focus on strategic priorities, further driving demand for these advanced solutions. This driver underscores the transformative potential of AI and ML in reshaping network forensics practices.

A 2024 cybersecurity analysis revealed that 73% of organizations using AI-driven network forensics reported a 45% reduction in incident response time. Approximately 68% of enterprises integrated ML, with 55% noting a 35% improvement in anomaly detection accuracy. AI adoption in network forensics grew by 40%, with 85% of IT firms citing predictive analytics as a key investment driver, enhancing threat mitigation by 30%.

The lack of skilled cybersecurity professionals is another major obstacle hindering the growth of the Network Forensics Market. Network forensics is a highly specialized domain that requires expertise in areas such as network protocols, intrusion detection, malware analysis, traffic pattern recognition, and incident response. It also demands proficiency in using complex forensics tools, scripting languages, and data correlation techniques to identify, trace, and respond to security breaches effectively. However, there exists a significant global talent gap in the cybersecurity sector, with demand for experienced analysts far outpacing the supply.

This shortage severely limits the ability of organizations to implement and operate network forensics tools to their full potential. Many enterprises either lack a dedicated cybersecurity team or are forced to rely on general IT personnel who may not possess the technical depth required for in-depth forensic analysis. This results in inefficient investigations, prolonged response times, and missed threat indicators. Moreover, the ever-evolving threat landscape requires constant upskilling, yet training programs and certifications for network forensics remain limited in availability and expensive to pursue.

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Based on Application, the Network Security segment emerged as the dominant application in the Global Network Forensics Market and is expected to maintain its leading position throughout the forecast period. This dominance is primarily attributed to the growing complexity and frequency of cyber threats targeting enterprise networks, which has compelled organizations across sectors to enhance their network visibility and response capabilities. As organizations increasingly rely on interconnected systems, cloud infrastructure, and remote access, network boundaries have become more porous, making them prime targets for malicious actors.

Network security within the network forensics ecosystem provides continuous monitoring, traffic analysis, and real-time threat detection, enabling early identification and containment of breaches. The surge in advanced persistent threats, distributed denial-of-service attacks, and data exfiltration attempts has further emphasized the necessity for robust network forensics solutions within this segment. Additionally, stringent regulatory frameworks such as the General Data Protection Regulation and the Health Insurance Portability and Accountability Act have reinforced the need for network forensics to ensure compliance and evidence collection.

Enterprises are investing heavily in solutions that can proactively detect anomalies and provide actionable insights through packet-level data analysis and behavior-based threat identification. Furthermore, the rise in network traffic volumes due to digital transformation and increased remote work practices has driven the adoption of scalable and intelligent network security tools integrated with artificial intelligence and machine learning. These tools enhance forensic investigations by automating pattern recognition, incident correlation, and threat attribution.

Europe has emerged as the fastest-growing region in the Global Network Forensics Market in 2024 and is expected to continue its rapid expansion during the forecast period. This growth is driven by several key factors, including the increasing frequency of sophisticated cyber threats targeting critical infrastructure, government agencies, and large enterprises across the region. European countries have witnessed a surge in cyberattacks, prompting heightened awareness and significant investments in network security and forensic technologies. Moreover, the enforcement of strict regulatory frameworks such as the General Data Protection Regulation has compelled organizations to adopt robust cybersecurity and forensic measures to ensure compliance and avoid penalties. The region’s focus on data privacy and incident accountability has led to the widespread implementation of advanced network monitoring and forensic analysis solutions to detect, trace, and investigate malicious activities within corporate networks.

In addition, the digital transformation of industries, growth in cloud adoption, and rising integration of Internet of Things devices across Europe have significantly increased the complexity of network environments, creating greater demand for network forensics tools capable of managing and securing diverse digital infrastructures. Countries such as Germany, France, the Netherlands, and the United Kingdom are leading the charge with investments in cybersecurity innovation, research, and public-private partnerships. Furthermore, Europe benefits from a strong ecosystem of cybersecurity vendors, research institutions, and government-backed cybersecurity initiatives that support technological development and market growth.

The region is also witnessing increasing adoption of artificial intelligence and machine learning-based solutions in network forensics, which enhances real-time threat detection and forensic investigation capabilities. The rise in remote working models and cross-border data transfers has further emphasized the need for comprehensive forensic tools to secure communications and ensure business continuity. All these factors combined make Europe the fastest-growing region in the Global Network Forensics Market, with strong momentum expected in the coming years.

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Key market players in the Global Network Forensics Market are: -

• Cisco Systems, Inc.
• IBM Corporation
• FireEye, Inc.
• NETSCOUT Systems, Inc.
• SolarWinds Corporation
• LogRhythm, Inc.
• Viavi Solutions Inc.
• RSA Security LLC
• NIKSUN, Inc.
• Zoho Corporation

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“Network Forensics Market is poised for significant growth in the coming years, driven by the increasing complexity of cyber threats, rising adoption of cloud computing, and expanding digital transformation across industries. Organizations are prioritizing real-time threat detection, incident response, and regulatory compliance, fueling demand for advanced forensic tools. The integration of artificial intelligence, machine learning, and automation into forensic solutions is enhancing threat visibility and investigation efficiency. Additionally, growing awareness about data security and the need to safeguard critical infrastructure will further accelerate market expansion. These factors collectively indicate a strong and sustained growth trajectory for the Network Forensics Market.” said Mr. Karan Chechi, Research Director of TechSci Research, a research-based Global management consulting firm.

“Network Forensics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component (Solution, Services), By Deployment Mode (On-Premises, Cloud-Based), By Application (Data Center Security, Endpoint Security, Intrusion Detection, Network Security, Others), By Region & Competition 2020-2030F”, has evaluated the future growth potential of Global Network Forensics Market and provides statistics & information on market size, structure, and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global Network Forensics Market.

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