Intrusion Detection & Prevention Systems Market by Component (Hardware, Services, Software), Solution Type (Intrusion Detection Systems, Intrusion Prevention Systems), Organization Size, Detection Technique, Deployment, End User Industry - Global Forecast
Description
The Intrusion Detection & Prevention Systems Market was valued at USD 11.70 billion in 2024 and is projected to grow to USD 12.94 billion in 2025, with a CAGR of 12.40%, reaching USD 29.83 billion by 2032.
Concise executive introduction framing why modern intrusion detection and prevention capabilities are central to enterprise security resilience and operational maturity
The evolving threat environment and accelerating adoption of cloud-native architectures have thrust intrusion detection and intrusion prevention capabilities into the center of enterprise security strategy. Modern IDS/IPS solutions no longer serve only as perimeter sentries; they are integral to layered defense models that combine network telemetry, host signals, and cloud activity to detect subtle adversary behaviors. Security and risk leaders are increasingly focused on integrating detection systems with orchestration, response automation, and threat intelligence pipelines to reduce dwell time and improve containment outcomes.
As organizations pursue digital transformation, the interoperability of detection techniques-anomaly-based, signature-based, and stateful protocol analysis-becomes a determinant of operational efficacy. The tension between inline prevention and out-of-band detection is being balanced through adaptive architectures that allow rapid tuning, contextual enrichment, and safe automated responses. This introduction sets the stage for a detailed examination of technological shifts, regulatory influences, supplier dynamics, and deployment choices that together define the current IDS/IPS landscape.
How cloud migration, machine learning, and converged security operations are fundamentally transforming detection and prevention capabilities and workflows
Significant transformative shifts are reshaping how organizations design, procure, and operate intrusion detection and prevention systems. Cloud migration and hybrid architectures have driven demand for solutions that natively support both cloud and on-premise deployments while preserving consistent detection logic and telemetry fusion. Concurrently, the rise of encrypted traffic and distributed workloads has required advances in packet inspection, metadata analysis, and endpoint telemetry integration to maintain visibility without degrading performance.
Machine learning and anomaly detection techniques are being embedded to identify novel attack patterns, while signature-based engines remain essential for known threat vectors. The convergence of network detection with endpoint detection and response, along with security orchestration, automation, and response platforms, is enabling coordinated containment workflows. Additionally, managed service models and increased vendor partnerships are lowering the operational burden for resource-constrained security teams. Taken together, these shifts create an operating model focused on continuous adaptation, faster incident validation, and pragmatic automation that supports both detection fidelity and enterprise risk objectives.
Assessing how recent United States tariff changes are reshaping procurement strategies, supply chain resilience, and the shift toward software and service delivery models
Recent tariff developments originating from policy changes and trade measures in the United States have introduced new variables for procurement, supply chain planning, and vendor selection in the IDS/IPS ecosystem. Hardware-dependent solutions, particularly those requiring specialized appliances or components sourced through complex global supply chains, face increased acquisition costs and extended lead times that can affect deployment schedules. In response, security architects are reassessing the balance between appliance-centric deployments and software-defined or virtualized options that can be instantiated on generic infrastructure or cloud platforms.
Tariff impacts are also accelerating interest in services and software models that decouple capability from physical device procurement. Organizations increasingly prioritize managed services, software subscriptions, and cloud-native detection offerings that mitigate import exposure and simplify lifecycle management. At the same time, procurement teams are demanding greater supply chain transparency and vendor assurances around component provenance and logistics contingency planning. These dynamics are prompting vendors to diversify component sourcing, expand cloud delivery footprints, and offer flexible commercial terms to preserve buyer confidence and continuity of protection.
In-depth segmentation analysis revealing component, solution type, deployment, industry, organization size, and detection technique dynamics that drive IDS/IPS decision-making
A granular segmentation-driven view clarifies where value and operational risk concentrate across IDS/IPS choices. Based on component, distinctions among hardware, services, and software highlight that services encompass maintenance and support, managed services, and professional services-each delivering different outcomes for lifecycle management, tuning, and incident response. Organizations that emphasize software-centric deployments often trade appliance complexity for quicker updates and integration flexibility, whereas hardware-led approaches can deliver deterministic performance for high-throughput environments.
Based on solution type, the choice between intrusion detection systems and intrusion prevention systems reflects an operational posture: detection-focused architectures prioritize visibility and investigation, while prevention-capable deployments favor inline response and automated mitigation. Based on deployment, cloud and on-premise options create trade-offs in control, latency, and integration with existing telemetry sources; hybrid architectures increasingly combine the two to retain sensitive data on-premise while leveraging cloud scale for analytics.
Based on end user industry, sectors such as BFSI, energy and utilities, government and defense, healthcare, manufacturing, retail and consumer goods, and telecom and IT exhibit distinct regulatory, availability, and threat-profile constraints that guide detection priorities and compliance requirements. Based on organization size, large enterprises and SMEs differ in resource availability and appetite for managed versus in-house models. Based on detection technique, anomaly-based, signature-based, and stateful protocol analysis each contribute complementary coverage, and mature deployments combine multiple techniques to reduce false positives while improving detection breadth.
Regional dynamics and regulatory nuances across the Americas, Europe, the Middle East & Africa, and Asia-Pacific that influence deployment, procurement, and operational choices
Geographic dynamics materially shape technology adoption patterns and regulatory expectations for intrusion detection and prevention systems. In the Americas, investment often centers on cloud-enabled analytics, rapid incident response, and integration with established security operations centers that emphasize automation and threat intelligence sharing. Organizations in this region frequently prioritize scalability and vendor ecosystems that support hybrid deployments to manage distributed enterprise footprints.
Across Europe, the Middle East & Africa, regulatory frameworks and data protection requirements influence where telemetry is processed and stored, prompting architectures that respect data residency while enabling centralized analysis. In this region, procurement choices often balance compliance with the need for advanced detection capabilities. In the Asia-Pacific region, rapid digital transformation and increasing cloud adoption have spurred demand for flexible deployment models and managed services, particularly among organizations that require rapid time-to-protection and scalability for large user bases.
Regional differences also affect supply chain considerations, talent availability, and local partner ecosystems. Vendors and buyers alike are aligning commercial models to support regional requirements through localized cloud regions, partner-managed offerings, and training investments to close operational skill gaps that would otherwise impede effective IDS/IPS utilization.
Vendor ecosystem dynamics, innovation focus areas, and partnership models shaping competitive differentiation and buyer evaluation criteria in IDS/IPS solutions
Competitive dynamics in the IDS/IPS landscape are driven by a mix of established network security providers, cloud-native entrants, and specialist detection vendors. Established providers leverage broad portfolios to integrate detection with routing, firewalling, and endpoint controls, while cloud-centric firms emphasize scalability, telemetry fusion, and rapid feature delivery through continuous updates. Specialist vendors focus on depth in areas such as anomaly detection, protocol analysis, or high-throughput inspection, often partnering with larger suppliers to extend market reach.
Innovation investment is concentrated in areas that improve detection accuracy, reduce analyst toil, and enable safer automation. Partnerships between security vendors and cloud hyperscalers are increasing to provide native cloud telemetry ingestion, while managed security service providers are expanding their offerings to include tuned IDS/IPS stacks for customers without mature in-house operations. Commercial differentiation is also emerging through integration capabilities with orchestration and SOAR ecosystems, transparent performance benchmarking, and service-level assurances that address enterprise uptime and incident response timelines.
Buyers evaluating suppliers should assess update cadences, integration breadth, incident response maturity, and the ability to provide transparent performance under realistic traffic conditions. Vendor roadmaps that emphasize open telemetry, third-party validation, and ecosystem partnerships tend to align best with enterprise priorities for long-term operational resilience.
Practical and prioritized recommendations for security leaders to optimize detection coverage, operational readiness, and resilient procurement choices for IDS/IPS
Leaders seeking to strengthen intrusion detection and prevention capabilities should prioritize a pragmatic, phased approach that aligns technology choices with operational readiness. Begin by clarifying detection objectives and acceptable risk levels, then map those priorities to a blend of detection techniques-anomaly-based, signature-based, and stateful protocol analysis-to ensure complementary coverage. Invest in telemetry normalization and enrichment early to reduce false positives and accelerate incident validation across network and endpoint signals.
Adopt flexible deployment strategies that allow workloads to migrate between cloud and on-premise environments without losing continuity of detection logic. For organizations constrained by staffing, consider managed services that include continuous tuning and incident response playbooks, while retaining options for rapid escalation to in-house teams. Emphasize vendor capabilities around automated validation, integration with SOAR, and transparent testing under representative traffic conditions. Finally, build supply chain resilience into procurement decisions by seeking vendors with diverse sourcing, cloud delivery options, and contractual safeguards that mitigate logistics disruption risks.
Robust mixed-methods research methodology combining practitioner interviews, vendor briefings, technical validation, and cross-source triangulation to ensure objective insights
The research approach combines primary engagement with security practitioners, vendor briefings, and independent technical validation to construct a comprehensive view of IDS/IPS trends. Primary inputs include structured interviews with security operations leaders, network architects, and managed service providers to capture operational pain points, deployment preferences, and outcomes tied to different detection techniques and service models. Vendor briefings inform product roadmaps, integration patterns, and commercial structures without relying on promotional claims alone.
Secondary research draws on publicly available technical documentation, incident postmortems, standards bodies guidance, and academic literature on detection methodologies to ground analysis in established principles. Technical validation includes controlled performance testing scenarios, review of telemetry enrichment practices, and assessment of automation capabilities that influence detection efficacy. Findings are triangulated across sources to ensure consistency and verified through iterative review cycles with domain experts to reduce bias and ensure the final outputs reflect practical operational realities.
Conclusion summarizing how adaptive detection architectures, operational integration, and supply chain resilience collectively determine security outcomes
In conclusion, intrusion detection and prevention systems are at a strategic inflection point where architecture decisions, operational maturity, and supply chain realities converge to determine protection effectiveness. The interplay between cloud adoption, advanced detection techniques, and evolving regulatory expectations requires security leaders to adopt adaptable platforms that can be tuned, scaled, and integrated across heterogeneous environments. Embracing a layered approach that combines multiple detection techniques and leverages managed services where appropriate will enable organizations to maintain vigilance while managing resource constraints.
Ultimately, successful IDS/IPS strategies balance immediate detection needs with long-term operational sustainability. Organizations that invest in telemetry integration, automation for incident response, and procurement strategies that account for supply chain variability will be better positioned to reduce dwell time and contain sophisticated adversaries. The insights presented herein are intended to guide decision-making, inform procurement dialogues, and support roadmap prioritization that aligns detection capabilities with enterprise resilience objectives.
Please Note: PDF & Excel + Online Access - 1 Year
Concise executive introduction framing why modern intrusion detection and prevention capabilities are central to enterprise security resilience and operational maturity
The evolving threat environment and accelerating adoption of cloud-native architectures have thrust intrusion detection and intrusion prevention capabilities into the center of enterprise security strategy. Modern IDS/IPS solutions no longer serve only as perimeter sentries; they are integral to layered defense models that combine network telemetry, host signals, and cloud activity to detect subtle adversary behaviors. Security and risk leaders are increasingly focused on integrating detection systems with orchestration, response automation, and threat intelligence pipelines to reduce dwell time and improve containment outcomes.
As organizations pursue digital transformation, the interoperability of detection techniques-anomaly-based, signature-based, and stateful protocol analysis-becomes a determinant of operational efficacy. The tension between inline prevention and out-of-band detection is being balanced through adaptive architectures that allow rapid tuning, contextual enrichment, and safe automated responses. This introduction sets the stage for a detailed examination of technological shifts, regulatory influences, supplier dynamics, and deployment choices that together define the current IDS/IPS landscape.
How cloud migration, machine learning, and converged security operations are fundamentally transforming detection and prevention capabilities and workflows
Significant transformative shifts are reshaping how organizations design, procure, and operate intrusion detection and prevention systems. Cloud migration and hybrid architectures have driven demand for solutions that natively support both cloud and on-premise deployments while preserving consistent detection logic and telemetry fusion. Concurrently, the rise of encrypted traffic and distributed workloads has required advances in packet inspection, metadata analysis, and endpoint telemetry integration to maintain visibility without degrading performance.
Machine learning and anomaly detection techniques are being embedded to identify novel attack patterns, while signature-based engines remain essential for known threat vectors. The convergence of network detection with endpoint detection and response, along with security orchestration, automation, and response platforms, is enabling coordinated containment workflows. Additionally, managed service models and increased vendor partnerships are lowering the operational burden for resource-constrained security teams. Taken together, these shifts create an operating model focused on continuous adaptation, faster incident validation, and pragmatic automation that supports both detection fidelity and enterprise risk objectives.
Assessing how recent United States tariff changes are reshaping procurement strategies, supply chain resilience, and the shift toward software and service delivery models
Recent tariff developments originating from policy changes and trade measures in the United States have introduced new variables for procurement, supply chain planning, and vendor selection in the IDS/IPS ecosystem. Hardware-dependent solutions, particularly those requiring specialized appliances or components sourced through complex global supply chains, face increased acquisition costs and extended lead times that can affect deployment schedules. In response, security architects are reassessing the balance between appliance-centric deployments and software-defined or virtualized options that can be instantiated on generic infrastructure or cloud platforms.
Tariff impacts are also accelerating interest in services and software models that decouple capability from physical device procurement. Organizations increasingly prioritize managed services, software subscriptions, and cloud-native detection offerings that mitigate import exposure and simplify lifecycle management. At the same time, procurement teams are demanding greater supply chain transparency and vendor assurances around component provenance and logistics contingency planning. These dynamics are prompting vendors to diversify component sourcing, expand cloud delivery footprints, and offer flexible commercial terms to preserve buyer confidence and continuity of protection.
In-depth segmentation analysis revealing component, solution type, deployment, industry, organization size, and detection technique dynamics that drive IDS/IPS decision-making
A granular segmentation-driven view clarifies where value and operational risk concentrate across IDS/IPS choices. Based on component, distinctions among hardware, services, and software highlight that services encompass maintenance and support, managed services, and professional services-each delivering different outcomes for lifecycle management, tuning, and incident response. Organizations that emphasize software-centric deployments often trade appliance complexity for quicker updates and integration flexibility, whereas hardware-led approaches can deliver deterministic performance for high-throughput environments.
Based on solution type, the choice between intrusion detection systems and intrusion prevention systems reflects an operational posture: detection-focused architectures prioritize visibility and investigation, while prevention-capable deployments favor inline response and automated mitigation. Based on deployment, cloud and on-premise options create trade-offs in control, latency, and integration with existing telemetry sources; hybrid architectures increasingly combine the two to retain sensitive data on-premise while leveraging cloud scale for analytics.
Based on end user industry, sectors such as BFSI, energy and utilities, government and defense, healthcare, manufacturing, retail and consumer goods, and telecom and IT exhibit distinct regulatory, availability, and threat-profile constraints that guide detection priorities and compliance requirements. Based on organization size, large enterprises and SMEs differ in resource availability and appetite for managed versus in-house models. Based on detection technique, anomaly-based, signature-based, and stateful protocol analysis each contribute complementary coverage, and mature deployments combine multiple techniques to reduce false positives while improving detection breadth.
Regional dynamics and regulatory nuances across the Americas, Europe, the Middle East & Africa, and Asia-Pacific that influence deployment, procurement, and operational choices
Geographic dynamics materially shape technology adoption patterns and regulatory expectations for intrusion detection and prevention systems. In the Americas, investment often centers on cloud-enabled analytics, rapid incident response, and integration with established security operations centers that emphasize automation and threat intelligence sharing. Organizations in this region frequently prioritize scalability and vendor ecosystems that support hybrid deployments to manage distributed enterprise footprints.
Across Europe, the Middle East & Africa, regulatory frameworks and data protection requirements influence where telemetry is processed and stored, prompting architectures that respect data residency while enabling centralized analysis. In this region, procurement choices often balance compliance with the need for advanced detection capabilities. In the Asia-Pacific region, rapid digital transformation and increasing cloud adoption have spurred demand for flexible deployment models and managed services, particularly among organizations that require rapid time-to-protection and scalability for large user bases.
Regional differences also affect supply chain considerations, talent availability, and local partner ecosystems. Vendors and buyers alike are aligning commercial models to support regional requirements through localized cloud regions, partner-managed offerings, and training investments to close operational skill gaps that would otherwise impede effective IDS/IPS utilization.
Vendor ecosystem dynamics, innovation focus areas, and partnership models shaping competitive differentiation and buyer evaluation criteria in IDS/IPS solutions
Competitive dynamics in the IDS/IPS landscape are driven by a mix of established network security providers, cloud-native entrants, and specialist detection vendors. Established providers leverage broad portfolios to integrate detection with routing, firewalling, and endpoint controls, while cloud-centric firms emphasize scalability, telemetry fusion, and rapid feature delivery through continuous updates. Specialist vendors focus on depth in areas such as anomaly detection, protocol analysis, or high-throughput inspection, often partnering with larger suppliers to extend market reach.
Innovation investment is concentrated in areas that improve detection accuracy, reduce analyst toil, and enable safer automation. Partnerships between security vendors and cloud hyperscalers are increasing to provide native cloud telemetry ingestion, while managed security service providers are expanding their offerings to include tuned IDS/IPS stacks for customers without mature in-house operations. Commercial differentiation is also emerging through integration capabilities with orchestration and SOAR ecosystems, transparent performance benchmarking, and service-level assurances that address enterprise uptime and incident response timelines.
Buyers evaluating suppliers should assess update cadences, integration breadth, incident response maturity, and the ability to provide transparent performance under realistic traffic conditions. Vendor roadmaps that emphasize open telemetry, third-party validation, and ecosystem partnerships tend to align best with enterprise priorities for long-term operational resilience.
Practical and prioritized recommendations for security leaders to optimize detection coverage, operational readiness, and resilient procurement choices for IDS/IPS
Leaders seeking to strengthen intrusion detection and prevention capabilities should prioritize a pragmatic, phased approach that aligns technology choices with operational readiness. Begin by clarifying detection objectives and acceptable risk levels, then map those priorities to a blend of detection techniques-anomaly-based, signature-based, and stateful protocol analysis-to ensure complementary coverage. Invest in telemetry normalization and enrichment early to reduce false positives and accelerate incident validation across network and endpoint signals.
Adopt flexible deployment strategies that allow workloads to migrate between cloud and on-premise environments without losing continuity of detection logic. For organizations constrained by staffing, consider managed services that include continuous tuning and incident response playbooks, while retaining options for rapid escalation to in-house teams. Emphasize vendor capabilities around automated validation, integration with SOAR, and transparent testing under representative traffic conditions. Finally, build supply chain resilience into procurement decisions by seeking vendors with diverse sourcing, cloud delivery options, and contractual safeguards that mitigate logistics disruption risks.
Robust mixed-methods research methodology combining practitioner interviews, vendor briefings, technical validation, and cross-source triangulation to ensure objective insights
The research approach combines primary engagement with security practitioners, vendor briefings, and independent technical validation to construct a comprehensive view of IDS/IPS trends. Primary inputs include structured interviews with security operations leaders, network architects, and managed service providers to capture operational pain points, deployment preferences, and outcomes tied to different detection techniques and service models. Vendor briefings inform product roadmaps, integration patterns, and commercial structures without relying on promotional claims alone.
Secondary research draws on publicly available technical documentation, incident postmortems, standards bodies guidance, and academic literature on detection methodologies to ground analysis in established principles. Technical validation includes controlled performance testing scenarios, review of telemetry enrichment practices, and assessment of automation capabilities that influence detection efficacy. Findings are triangulated across sources to ensure consistency and verified through iterative review cycles with domain experts to reduce bias and ensure the final outputs reflect practical operational realities.
Conclusion summarizing how adaptive detection architectures, operational integration, and supply chain resilience collectively determine security outcomes
In conclusion, intrusion detection and prevention systems are at a strategic inflection point where architecture decisions, operational maturity, and supply chain realities converge to determine protection effectiveness. The interplay between cloud adoption, advanced detection techniques, and evolving regulatory expectations requires security leaders to adopt adaptable platforms that can be tuned, scaled, and integrated across heterogeneous environments. Embracing a layered approach that combines multiple detection techniques and leverages managed services where appropriate will enable organizations to maintain vigilance while managing resource constraints.
Ultimately, successful IDS/IPS strategies balance immediate detection needs with long-term operational sustainability. Organizations that invest in telemetry integration, automation for incident response, and procurement strategies that account for supply chain variability will be better positioned to reduce dwell time and contain sophisticated adversaries. The insights presented herein are intended to guide decision-making, inform procurement dialogues, and support roadmap prioritization that aligns detection capabilities with enterprise resilience objectives.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
185 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Rise of AI-driven anomaly detection models enhancing real-time threat prevention capabilities
- 5.2. Integration of intrusion prevention with zero trust architectures across enterprise networks
- 5.3. Deployment of container-aware IDS solutions to secure microservices and Kubernetes clusters at scale
- 5.4. Adoption of UEBA-powered intrusion detection platforms for advanced insider threat identification
- 5.5. Expansion of managed detection and response services incorporating proactive intrusion prevention measures
- 5.6. Emergence of 5G network-specific intrusion detection systems addressing low-latency security challenges
- 5.7. Utilization of threat intelligence consortiums to update IPS signatures in real time across global deployments
- 5.8. Adoption of encrypted traffic analysis using machine learning to detect evasive malware within SSL tunnels
- 5.9. Consolidation of network detection and endpoint prevention into unified agents for streamlined security operations
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Intrusion Detection & Prevention Systems Market, by Component
- 8.1. Hardware
- 8.2. Services
- 8.2.1. Maintenance & Support
- 8.2.2. Managed Services
- 8.2.3. Professional Services
- 8.3. Software
- 9. Intrusion Detection & Prevention Systems Market, by Solution Type
- 9.1. Intrusion Detection Systems
- 9.2. Intrusion Prevention Systems
- 10. Intrusion Detection & Prevention Systems Market, by Organization Size
- 10.1. Large Enterprises
- 10.2. SMEs
- 11. Intrusion Detection & Prevention Systems Market, by Detection Technique
- 11.1. Anomaly-Based
- 11.2. Signature-Based
- 11.3. Stateful Protocol Analysis
- 12. Intrusion Detection & Prevention Systems Market, by Deployment
- 12.1. Cloud
- 12.2. On-Premise
- 13. Intrusion Detection & Prevention Systems Market, by End User Industry
- 13.1. BFSI
- 13.2. Energy & Utilities
- 13.3. Government & Defense
- 13.4. Healthcare
- 13.5. Manufacturing
- 13.6. Retail & Consumer Goods
- 13.7. Telecom & IT
- 14. Intrusion Detection & Prevention Systems Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Intrusion Detection & Prevention Systems Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Intrusion Detection & Prevention Systems Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Cisco Systems, Inc.
- 17.3.2. Palo Alto Networks, Inc.
- 17.3.3. Fortinet, Inc.
- 17.3.4. Check Point Software Technologies Ltd.
- 17.3.5. IBM Corporation
- 17.3.6. McAfee LLC
- 17.3.7. Trend Micro Incorporated
- 17.3.8. Juniper Networks, Inc.
- 17.3.9. Darktrace Limited
- 17.3.10. FireEye, Inc.
- 17.3.11. AT&T Inc.
- 17.3.12. WatchGuard Technologies, Inc.
- 17.3.13. Sophos Group plc
- 17.3.14. Broadcom Inc.
- 17.3.15. Huawei Technologies Co., Ltd.
- 17.3.16. ExtraHop Networks, Inc.
- 17.3.17. Alert Logic, Inc.
- 17.3.18. Hillstone Networks Inc.
- 17.3.19. NSFOCUS Ltd.
- 17.3.20. BAE Systems plc
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