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

Market Overview

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 Network Forensics Market refers to the industry focused on monitoring, capturing, storing, and analyzing network traffic for the purpose of detecting and investigating cyber threats, data breaches, and malicious activities. It plays a crucial role in modern cybersecurity infrastructure, enabling organizations to trace the origin and impact of cyber incidents and enhance their response capabilities. As businesses and governments increasingly rely on digital infrastructures, the attack surface has widened, making network forensics an essential component of incident response strategies.

The market includes software and hardware solutions designed to inspect packets, reconstruct sessions, and identify unauthorized access or data exfiltration. Network forensics is particularly vital in sectors such as banking, financial services, healthcare, telecommunications, and government, where the confidentiality and integrity of data are paramount. The rising sophistication of cyberattacks, including ransomware, phishing, and advanced persistent threats, is driving enterprises to adopt proactive and real-time forensic tools. Additionally, the shift towards cloud computing, the Internet of Things, and remote working environments is further complicating network architectures, leading to greater demand for scalable and intelligent forensic solutions.

Artificial intelligence and machine learning are also being integrated into network forensics platforms to automate anomaly detection and threat analysis, thus improving accuracy and reducing response times. Regulatory requirements and compliance mandates, such as the General Data Protection Regulation and the Health Insurance Portability and Accountability Act, are compelling organizations to invest in forensic capabilities to ensure transparency and accountability.

Moreover, the emergence of zero-trust architectures and endpoint detection and response systems is enhancing the relevance of network forensics as part of a layered defense strategy. As cyber threats continue to evolve, organizations are expected to allocate increased budgets toward advanced forensic solutions that provide deep visibility, rapid breach detection, and actionable insights. This dynamic environment, coupled with technological advancements and growing security awareness, will propel the steady growth of the global Network Forensics Market in the coming years..

Key Market Drivers

Rising Sophistication of Cyberattacks Necessitating Advanced Network Forensics Solutions

The escalating complexity and frequency of cyberattacks are a primary driver for the network forensics market, as organizations seek advanced tools to investigate and mitigate sophisticated threats. Cybercriminals are leveraging advanced techniques such as ransomware, distributed denial-of-service (DDoS) attacks, and advanced persistent threats (APTs) to exploit vulnerabilities in networked environments. These attacks often leave minimal traces on individual devices, making network forensics critical for capturing and analyzing network traffic to identify attack vectors, reconstruct attack timelines, and trace malicious activities back to their source.

Network forensics solutions enable organizations to monitor real-time data packets, logs, and flow data from routers, firewalls, and intrusion detection systems (IDS), providing granular visibility into network activities. This capability is essential for detecting anomalies, such as unusual traffic spikes or unauthorized access, which may indicate a breach. The proliferation of cloud computing, Internet of Things (IoT) devices, and 5G networks has exponentially increased network traffic, amplifying the need for robust forensics tools to handle large-scale, dynamic data.

By analyzing network-based evidence, organizations can uncover hidden threats, such as encrypted malicious communications or data exfiltration attempts, which traditional endpoint security might miss. Furthermore, network forensics supports proactive threat hunting by correlating attack patterns with historical data to predict and prevent future incidents. The integration of artificial intelligence (AI) and machine learning (ML) into network forensics platforms enhances their ability to process vast datasets, detect anomalies in real time, and automate incident response.

As cyber threats continue to evolve, organizations across industries, including banking, financial services, and insurance (BFSI), healthcare, and government, are investing heavily in network forensics to safeguard critical infrastructure and sensitive data. This driver underscores the pivotal role of network forensics in strengthening cybersecurity frameworks and ensuring rapid response to complex cyber incidents.

A 2024 cybersecurity report indicated that 67% of organizations faced advanced cyberattacks, with 52% relying on network forensics for incident investigation. DDoS attacks increased by 35% year-over-year, contributing to a 40% rise in network traffic analysis tool adoption. Approximately 70% of enterprises reported a 25% improvement in threat detection times using AI-driven network forensics, with 80% of BFSI firms citing network forensics as critical for ransomware mitigation.

Stringent Regulatory Compliance Mandates Driving Network Forensics Adoption

The increasing stringency of data protection and cybersecurity regulations globally is a significant driver for the network forensics market, as organizations strive to comply with legal and industry standards. Regulations such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) require organizations to maintain detailed records of network activities to demonstrate compliance and support audits.

Network forensics solutions are essential for meeting these mandates, as they enable the collection, preservation, and analysis of network traffic and logs to ensure data integrity and chain of custody. These tools provide comprehensive audit trails, capturing details of network communications, user activities, and data transfers, which are critical for regulatory reporting and legal investigations. Non-compliance can lead to substantial fines, with GDPR violations alone resulting in penalties of up to €20 million or 4% of annual global turnover, prompting organizations to prioritize network forensics investments.

Industries handling sensitive data, such as healthcare, finance, and government, face heightened scrutiny, making network forensics a cornerstone of their compliance strategies. The shift toward cloud-based and hybrid network environments has further complicated compliance, as organizations must monitor distributed systems across multiple platforms.

Network forensics platforms address this challenge by offering centralized data collection and real-time monitoring capabilities, ensuring compliance with evolving regulatory frameworks. As new data privacy laws emerge and existing regulations tighten, the demand for network forensics solutions that support compliance and legal evidence collection continues to grow, reinforcing their critical role in organizational risk management.

In 2024, a global compliance survey revealed that 75% of organizations adopted network forensics to meet regulatory requirements. GDPR fines reached €2.9 billion, driving a 30% increase in network forensics investments. Approximately 68% of healthcare firms reported a 20% rise in forensics budgets to comply with HIPAA, while 85% of BFSI organizations cited network forensics as essential for PCI DSS audits, with 60% noting improved audit success rates.

Surge in Network Traffic Due to Digital Transformation Initiatives

The rapid expansion of network traffic driven by digital transformation initiatives is a key driver for the network forensics market, as organizations grapple with the need to monitor and analyze vast amounts of data. The widespread adoption of cloud computing, IoT devices, and 5G networks has led to an unprecedented increase in network activity, generating massive volumes of data packets, logs, and flow records. Network forensics solutions are critical for capturing, storing, and analyzing this data to identify security incidents, optimize network performance, and ensure operational continuity.

These platforms enable organizations to reconstruct network events, detect anomalies, and investigate potential breaches by analyzing traffic patterns and metadata. The complexity of modern network architectures, including hybrid and multi-cloud environments, amplifies the need for scalable forensics tools capable of handling diverse data sources, such as routers, switches, and cloud-based servers. As businesses embrace digital transformation to enhance efficiency and customer experiences, the reliance on network forensics grows to address challenges like data exfiltration, insider threats, and network congestion.

AI-powered network forensics tools further enhance capabilities by automating traffic analysis and providing real-time insights into potential vulnerabilities. Industries such as retail, manufacturing, and telecommunications, which rely heavily on connected devices and digital platforms, are particularly dependent on network forensics to maintain security and performance. This driver highlights the critical role of network forensics in managing the complexities of modern network environments and supporting data-driven decision-making.

A 2024 technology report noted that global network traffic reached 4.2 zettabytes, with 60% of enterprises citing network forensics as vital for managing data growth. IoT device adoption grew by 45%, contributing to a 35% increase in network forensics tool usage. Approximately 70% of organizations reported a 25% improvement in network performance after implementing forensics solutions, with 80% noting enhanced detection of data exfiltration attempts.

Growing Adoption of Cloud-Based Network Forensics Solutions

The increasing shift toward cloud-based network forensics solutions is a major driver for the network forensics market, as organizations seek scalable and cost-effective tools to secure dynamic network environments. Cloud-based platforms offer flexibility, eliminating the need for significant upfront investments in hardware and infrastructure, making them accessible to small and medium-sized enterprises (SMEs). These solutions provide seamless integration with cloud-native environments, such as AWS, Azure, and Google Cloud, enabling organizations to monitor and analyze network traffic across distributed systems.

The scalability of cloud-based forensics tools ensures they can handle the growing volume of network data without compromising performance. Additionally, these platforms offer real-time analytics, automated updates, and enhanced security features, which are critical for addressing modern cyber threats. The rise of remote work and distributed IT infrastructures has further accelerated the adoption of cloud-based network forensics, as organizations require centralized tools to monitor geographically dispersed networks.

These solutions also simplify compliance by providing built-in features for data retention and audit reporting, aligning with regulatory requirements. The ability to deploy network forensics in the cloud enhances organizational agility, enabling rapid response to incidents and reducing operational costs. This driver reflects the transformative impact of cloud technology on the network forensics market, driving demand for solutions that support modern, decentralized network architectures.

A 2024 industry survey showed that 70% of organizations adopted cloud-based network forensics, with 80% citing scalability as a key benefit. SMEs reported a 35% reduction in forensics costs after transitioning to cloud platforms. Approximately 65% of enterprises noted a 30% improvement in analysis speed, with 75% integrating cloud-based forensics with SIEM systems, enhancing threat detection by 25%.

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Key Market Challenges

Scalability and Data Volume Management

One of the most critical challenges facing the Network Forensics Market is the issue of scalability in handling the exponential growth of network data volumes. With the increasing adoption of cloud computing, Internet of Things devices, and high-bandwidth applications, organizations are witnessing a tremendous surge in data traffic across their networks. This surge generates an overwhelming quantity of logs, packets, and session data that need to be captured, stored, analyzed, and correlated in real-time.

The complexity is further exacerbated by the heterogeneity of modern enterprise networks, which span across hybrid infrastructures, virtualized environments, and geographically distributed endpoints. Traditional forensics solutions often fall short in their ability to scale with this pace, thereby impairing performance, accuracy, and timeliness of forensic investigations. Moreover, maintaining real-time visibility and traceability becomes increasingly difficult, especially when network traffic is encrypted or obfuscated.

Enterprises need network forensics platforms that can seamlessly scale horizontally and vertically, while still maintaining low latency and high fidelity of captured data. However, designing and deploying such scalable architectures involves considerable investment in infrastructure, storage, bandwidth, and skilled personnel, which becomes a major barrier for small and medium enterprises.

In addition, regulatory compliance mandates demand that organizations store network traffic data for extended periods, significantly increasing storage and retrieval costs. Thus, the inability of many network forensics tools to cost-effectively scale in response to growing network traffic is a significant constraint that continues to impede the broader adoption of advanced forensics capabilities across industries.

Complexity of Encrypted Traffic and Evasion Techniques

The rising prevalence of encrypted network traffic poses a substantial challenge to the effectiveness of network forensics solutions. While encryption is crucial for ensuring data confidentiality and integrity, it simultaneously limits visibility into network payloads, making it extremely difficult for forensic tools to inspect content and identify potential threats. This issue is magnified by the growing use of advanced evasion techniques by threat actors, such as tunneling, traffic obfuscation, and protocol manipulation. Attackers increasingly leverage secure channels such as HTTPS, Secure Shell, and Virtual Private Networks to mask their movements and exfiltrate data undetected.

In many cases, sophisticated adversaries also utilize custom encryption schemes or dynamically change command-and-control protocols to further evade detection. Consequently, network forensics solutions are rendered less effective, as they are unable to decrypt or interpret encrypted payloads without violating privacy policies or introducing performance overhead. Furthermore, the process of decrypting traffic for inspection can raise serious legal and ethical concerns, especially in industries such as healthcare, finance, and education where privacy compliance is paramount.

Balancing security with user privacy becomes a persistent dilemma for organizations. Although some vendors offer decryption-enabled forensics tools, these solutions often require complex key management, secure handling of decrypted data, and significant computational resources. Additionally, the enforcement of end-to-end encryption by service providers further limits visibility for enterprises trying to monitor suspicious activities within encrypted streams. As a result, the increasing dominance of encrypted network traffic and adversarial evasion strategies severely undermines the ability of forensics tools to deliver actionable insights, thereby posing a serious threat to the market’s effectiveness and trustworthiness.

Key Market Trends

Rise of Cloud‑Based and Hybrid Network Forensics Solutions

The emergence of cloud computing and hybrid information technology environments is catalysing a shift toward cloud‑based network forensics solutions—a defining trend in the evolving market landscape. As organisations accelerate cloud migration and deploy infrastructure across public clouds, private data centres, and hybrid configurations, traditional on‑premise packet capture and forensic tools prove inadequate in offering full visibility, particularly for east‑west traffic inside the cloud.

Cloud‑based network forensics platforms address this by providing scalable, centralized capture engines capable of ingesting data from diverse environments. These solutions automate the collection, storage, and analysis of network packets across cloud‑native, hybrid, and multi‑cloud domains, effectively bridging visibility gaps that legacy tools often leave exposed. Vendors are embedding smart storage tiering and cloud‑burst capabilities to manage large data volumes while controlling costs.

The combination of encryption, containerization, and ephemeral workloads in hybrid ecosystems has reinforced the need for forensic platforms that can dynamically adapt and preserve forensic integrity. As businesses seek to support regulatory compliance—such as breach transparency mandates and cyber‑insurance evidence requirements—cloud-enabled network forensics platforms are becoming best practice in digital forensics strategies across industries.

Artificial Intelligence, Machine Learning, and Automation in Forensics Workflows

The integration of artificial intelligence and machine learning into network forensics represents a transformative trend that is reshaping how organisations detect, investigate, and respond to advanced threats. These technologies enable the automation of anomaly detection and predictive analytics, dramatically reducing the manual burden on security teams and improving response times. AI-driven algorithms continuously learn from baseline network behavior to flag suspicious patterns—including lateral movement or credential compromise—that traditional signature-based methods may miss.

In addition, the rise of network detection and response platforms (NDR) that embed forensic capture within behavioral analytics tools is shrinking tool sprawl and streamlining workflows. Some modern platforms now recommend investigative steps to analysts, generate natural‑language incident summaries, and automate containment measures—creating context‑aware, orchestrated response capabilities. Automation extends to storage management via indexing, deduplication, and tiered retention, helping organisations maintain low latency and regulatory compliance without investing in costly infrastructure.

Adaptation to 5G, IoT and Encrypted Traffic Surveillance

The expansion of 5G networks, Internet of Things ecosystems, and encrypted traffic has created unprecedented forensic visibility challenges and stimulated new capabilities in network forensics. Standalone 5G deployments enable high-speed, low-latency east‑west data flows between network slices, increasing session density and elevating risks of lateral intrusion.

Network forensics vendors are responding with packet capture probes capable of decoding protocols such as GPRS Tunnelling Protocol, HTTP/2, and HTTP/3 at line rate within 5G environments providing agents with visibility into subscriber behaviors, signaling abuse, and session-level traffic anomalies.

Concurrently, the proliferation of Internet of Things devices in manufacturing, healthcare, retail, and smart city applications has introduced highly distributed and heterogeneous traffic sources. Forensic platforms are expanding to support IoT device profiling, cloud-linked logs, and protocol reconstruction with automation and AI-assisted analysis.

Encryption is also becoming pervasive, especially through TLS and secure tunnels, obscuring payload content and complicating forensic inspections. To address this, network forensics solutions now rely on encrypted traffic analytics—examining metadata or TLS fingerprint patterns for anomalies—and in select cases, offering controlled decryption workflows under strict compliance controls.

Together, these forces are driving a renaissance in network forensics capabilities, ensuring that modern infrastructures remain transparent, secure, and compliant in environments increasingly defined by encryption, mobility, and connectivity density.

Segmental Insights

Component Insights

In 2024, the Solution segment emerged as the dominant component in the global Network Forensics Market and is expected to maintain its dominance during the forecast period. This dominance is attributed to the increasing demand for advanced forensic tools that offer real-time network traffic analysis, intrusion detection, deep packet inspection, and threat intelligence capabilities. As organizations face sophisticated cyber threats, there is a growing preference for comprehensive solutions that can quickly identify, analyze, and respond to anomalies across complex digital infrastructures.

Network forensics solutions are being rapidly adopted by enterprises across sectors such as banking, financial services and insurance, government, healthcare, and manufacturing due to their ability to enhance incident response, reduce investigation time, and support regulatory compliance. Moreover, advancements in artificial intelligence and machine learning are being integrated into these solutions, enabling automation of forensic workflows, predictive analytics, and behavioral threat detection—further reinforcing their market value.

The proliferation of cloud computing, remote work environments, and encrypted traffic has also amplified the need for scalable and adaptable forensic solutions that can operate seamlessly across hybrid infrastructures. While services such as consulting, training, and managed forensics are gaining traction, especially among small and medium-sized enterprises with limited in-house expertise, they are largely considered complementary to the core solution offerings. Enterprises are prioritizing investments in robust forensic platforms over standalone services, driving higher revenue share for the solution segment.

Furthermore, continuous innovations by technology providers to develop modular, interoperable, and cost-effective network forensic solutions are expected to sustain the segment’s leadership position throughout the forecast period. As regulatory scrutiny around data breaches and cyber incident reporting intensifies globally, organizations are expected to continue prioritizing full-spectrum forensic solutions to strengthen their cybersecurity posture, ensure digital resilience, and meet compliance obligations cementing the solution segment’s long-term growth trajectory in the global Network Forensics Market.

Deployment Mode Insights

In 2024, the On-Premises deployment mode segment dominated the global Network Forensics Market and is expected to maintain its dominance during the forecast period. This dominance is primarily driven by the critical need for high levels of data security, control, and compliance in sensitive industry verticals such as banking, financial services and insurance, government, defense, and healthcare. Organizations operating in these sectors often deal with confidential data and stringent regulatory frameworks that require full ownership and monitoring of network infrastructure, making on-premises deployment the preferred choice.

On-premises network forensics solutions provide enterprises with direct oversight of their hardware and software assets, enabling faster incident response, reduced latency, and enhanced integration with existing security frameworks. The ability to customize deployment configurations and tailor security protocols to meet specific organizational needs further supports the continued adoption of this deployment model. Moreover, on-premises solutions minimize reliance on third-party service providers, reducing concerns about data sovereignty and exposure to external cyber threats.

Despite the growing popularity of cloud-based deployments, particularly among small and medium-sized enterprises due to their cost efficiency and scalability, on-premises deployment remains favored by large enterprises with adequate internal resources and infrastructure. These organizations prioritize stability, low risk, and maximum control, especially when conducting forensic investigations involving highly sensitive or classified data. Additionally, concerns about latency in data retrieval, integration challenges with cloud service providers, and potential vendor lock-in further discourage certain enterprises from migrating to cloud-based platforms.

While the cloud-based segment is expected to witness notable growth, particularly due to rising demand for remote access and digital transformation initiatives, the on-premises segment’s mature infrastructure, proven reliability, and compliance compatibility will continue to position it as the dominant deployment mode throughout the forecast period in the global Network Forensics Market. As cyber threats continue to evolve in complexity and regulatory standards become more stringent, the role of on-premises solutions in ensuring operational continuity and forensic transparency will remain pivotal.

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Regional Insights

Largest Region

In 2024, North America emerged as the dominant region in the global Network Forensics Market and is expected to maintain its leading position during the forecast period. The region’s dominance is primarily attributed to the presence of a highly developed technological infrastructure, advanced cybersecurity frameworks, and a large concentration of key network forensics solution providers. North America, led by the United States and Canada, has been at the forefront of adopting sophisticated network security and analytics tools in response to the growing frequency and sophistication of cyber threats targeting enterprises, government institutions, and critical infrastructure.

The region's regulatory landscape, which includes strict compliance mandates such as the Health Insurance Portability and Accountability Act, Payment Card Industry Data Security Standard, and other federal cybersecurity frameworks, further accelerates the adoption of network forensics solutions to ensure compliance and minimize data breach risks. Moreover, the increasing focus on digital transformation, cloud migration, and enterprise mobility across sectors such as banking, financial services and insurance, healthcare, retail, and defense has amplified the need for robust network traffic analysis and real-time threat detection. High levels of investment in cybersecurity research and development, coupled with government-backed initiatives promoting cyber resilience, also support the expansion of the network forensics ecosystem in the region.

Additionally, North American enterprises are more proactive in incident response planning and forensic investigations, which increases demand for advanced network forensics tools capable of identifying, analyzing, and mitigating security incidents. While other regions such as Europe and Asia Pacific are experiencing rapid growth due to increasing cyber risks and digital adoption, North America’s early technological adoption, cybersecurity awareness, and established vendor landscape provide a significant competitive edge. These factors collectively contribute to the region’s sustained dominance in the global Network Forensics Market throughout the forecast period.

Emerging Region

The Middle East and Africa region is emerging as a significant player in the global Network Forensics Market, driven by increasing investments in cybersecurity infrastructure, rising digital transformation initiatives, and growing awareness about cyber threat detection. Governments across the region, particularly in the Gulf Cooperation Council countries such as the United Arab Emirates and Saudi Arabia, are launching strategic digital agendas that prioritize national cybersecurity frameworks.

These initiatives are fostering demand for advanced network security and forensic capabilities to monitor, analyze, and respond to increasingly sophisticated cyberattacks. Furthermore, the rapid adoption of smart city projects, digital banking platforms, and e-government services is expanding the region’s digital footprint, exposing organizations to heightened network vulnerabilities and necessitating robust forensic tools. Despite being at an earlier stage of adoption compared to developed markets, enterprises in the Middle East and Africa are showing increased interest in network forensics to comply with regulatory requirements, investigate cyber incidents, and ensure operational continuity.

The emergence of regional cybersecurity service providers and growing partnerships with international vendors are further driving market penetration in this region. In Africa, the rise of mobile internet users, coupled with digitalization in sectors such as finance, healthcare, and energy, is creating a fertile ground for network forensics adoption. Although infrastructure limitations and a shortage of skilled professionals pose initial barriers, the increasing frequency of cyberattacks and cross-border data breaches is compelling both public and private sectors to invest in forensic capabilities.

As awareness grows and regulatory frameworks mature, the Middle East and Africa region is expected to transition from a nascent stage to a more established presence in the Network Forensics Market, making it one of the most promising emerging regions during the forecast period.

Recent Development

• In May 2024, Palo Alto Networks partnered with IBM to advance artificial intelligence-powered cybersecurity solutions. As part of the collaboration, IBM integrated Palo Alto Networks’ security platforms into its consulting services and committed to training over 1,000 security professionals. Simultaneously, Palo Alto Networks announced plans to acquire IBM’s QRadar Software as a Service assets, aiming to strengthen its artificial intelligence-driven threat detection and response capabilities. This strategic move underscores both companies' focus on next-generation cybersecurity innovation and service delivery.
• In February 2025, Cisco expanded its presence in Saudi Arabia by establishing cloud data centers focused on delivering secure services and supporting artificial intelligence governance. This strategic move aligns with the country’s Vision 2030 objectives. Alongside the infrastructure expansion, Cisco also launched an artificial intelligence talent development initiative aimed at nurturing local expertise and building a skilled workforce. The dual effort reflects Cisco’s commitment to technological advancement and sustainable digital transformation within the Kingdom of Saudi Arabia.
• In June 2025, Cisco unveiled a significant investment in developing artificial intelligence-ready data centers and modern enterprise workspaces. This initiative is part of the company’s broader strategy to strengthen its role in the evolving global artificial intelligence infrastructure landscape. By focusing on scalable, secure, and efficient solutions, Cisco aims to support the increasing demand for advanced computing capabilities and position itself as a key enabler of artificial intelligence innovation across industries and international markets.
• In March 2024, Cisco completed its USD 28 billion acquisition of Splunk, aiming to integrate Splunk’s powerful analytics and observability tools into its comprehensive security and networking portfolio. This strategic acquisition enhances Cisco’s capability to offer unified visibility across both cloud-based and on-premises environments. By leveraging real-time telemetry and advanced threat detection, Cisco is strengthening its position in delivering an integrated security ecosystem that addresses evolving cybersecurity challenges and provides deeper insights across complex digital infrastructures.

Key Market Players

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

Report Scope:

In this report, the Global Network Forensics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

•  Network Forensics Market, By Component:

o   Solution

o   Services

• Network Forensics Market, By Deployment Mode:

o   On-Premises

o   Cloud-Based

• Network Forensics Market, By Application:

o   Data Center Security

o   Endpoint Security

o   Intrusion Detection

o   Network Security

o   Others

• Network Forensics Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Europe

§  Germany

§  France

§  United Kingdom

§  Italy

§  Spain

o   South America

§  Brazil

§  Argentina

§  Colombia

o   Asia-Pacific

§  China

§  India

§  Japan

§  South Korea

§  Australia

o   Middle East & Africa

§  Saudi Arabia

§  UAE

§  South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Network Forensics Market.

Available Customizations:

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Company Information

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