Deep Packet Inspection Market by Component (Services, Solutions), Installation (Integrated, Standalone), Deployment Mode, Enterprise Size, Application, End-user - Global Forecast 2025-2032
Description
The Deep Packet Inspection Market was valued at USD 25.58 billion in 2024 and is projected to grow to USD 27.03 billion in 2025, with a CAGR of 6.65%, reaching USD 42.84 billion by 2032.
Introducing a concise strategic framing of deep packet inspection that explains its evolving technical role across modern network architectures and operational priorities
Deep packet inspection (DPI) sits at the intersection of network observability, security enforcement, and traffic optimization, evolving from an appliance-centric utility to a flexible, policy-driven platform. Today’s DPI implementations must reconcile high-throughput packet processing with pervasive encryption, privacy constraints, and dynamic service models. This introduction synthesizes the technical role DPI plays across modern architectures and outlines why organizations are re-evaluating deployment patterns to balance visibility, latency, and compliance.
Enterprises and service providers are shifting from static rule sets toward context-aware policies that leverage metadata, flow analysis, and selective decryption in controlled environments. As applications migrate to cloud-native topologies and microsegmented fabrics, DPI capabilities are being reimagined to operate as distributed services that integrate with orchestration layers and telemetry pipelines. In parallel, operational teams demand clearer economics around managed versus in-house models, while architects prioritize modularity and API-driven controls to future-proof DPI investments.
Explaining the converging technological and regulatory forces that are redefining how deep packet inspection is architected, deployed, and consumed across diverse IT environments
The landscape for deep packet inspection is experiencing transformative shifts driven by four converging forces: pervasive encryption, cloud-native application patterns, edge compute expansion, and regulatory emphasis on data protection. Encryption increases the visibility challenge but also spurs innovation in metadata analytics and selective, policy-governed inspection techniques. Meanwhile, the migration of workloads to cloud environments requires DPI to be re-architected for elasticity and multi-tenancy rather than monolithic appliances.
Edge computing and the rise of distributed services push DPI capabilities closer to users and devices, reducing latency for real-time inspection while creating new orchestration and lifecycle complexities. Regulatory developments compel tighter controls on how inspection is performed, logged, and retained, prompting investment in privacy-preserving techniques and stronger integration with identity and access management systems. Collectively, these shifts are accelerating a move toward DPI implementations that are software-defined, orchestrated, and delivered as modular services within broader security and performance stacks.
Analyzing how 2025 tariff shifts on networking hardware components are reshaping procurement preferences, supply chains, and vendor strategies with tangible operational repercussions
Tariff changes announced in 2025 affecting imports of networking components and inspection appliances have a cascading influence across procurement, deployment cadence, and vendor strategies. Higher duties on hardware components create an incentive to pivot toward software-centric appliances and cloud-hosted inspection services that rely less on specialized imported chassis. As buyers reassess total cost of ownership, procurement teams are likely to prioritize vendors with flexible consumption models and hardware-agnostic software that supports commodity servers and virtualized infrastructures.
Service providers and integrators face increased pressure to rationalize supply chains and qualify alternative suppliers, while managed service offerings become more attractive to enterprises seeking to avoid capital expenditures and logistics risk. The tariff environment also influences innovation trajectories: vendors accelerate investments in software optimization, offloading techniques, and smart NIC support to reduce dependency on proprietary hardware. In addition, the shift incentivizes localized manufacturing and regional partnerships, which in turn impacts time-to-deploy for large-scale rollouts and affects decisions around on-premises versus cloud-based deployment modes.
Unpacking nuanced segmentation-driven perspectives that reveal distinct buyer priorities, deployment constraints, and industry-specific technical requirements for deep packet inspection
Effective segmentation-driven insight illuminates where value concentrates and how go-to-market strategies should be tailored. When the market is parsed by component, services and solutions surface distinct buyer priorities: solutions emphasize integrated feature sets and interoperability, whereas services split into managed services that appeal to outcomes-oriented buyers and professional services that support complex integration and customization. This distinction affects vendor positioning, as those offering managed operations, continuous tuning, and SLA guarantees speak differently to procurement teams than vendors selling project-based consulting engagements.
Installation modality bifurcates demand between integrated systems that simplify deployment and standalone elements that enable targeted enhancements to existing stacks, informing channel strategies and partner enablement. Deployment mode decisions between cloud-based and on-premises options hinge on factors such as data sovereignty, latency sensitivity, and integration with existing orchestration. Enterprise size further differentiates requirements: large enterprises typically demand extensive customization, orchestration integration, and centralized governance, while small and medium enterprises favor packaged solutions with lower operational overhead. Application-level segmentation shows varied technical drivers; use cases such as data loss prevention, database management with both SQL and NoSQL considerations, intrusion detection and prevention, network performance management, and traffic management impose distinct latency, throughput, and logging requirements. Finally, end-user industry dynamics-whether in banking, government, healthcare, IT and telecom, manufacturing, or retail-shape compliance constraints, traffic patterns, and procurement cycles, requiring vendors and integrators to craft industry-specific value propositions and reference architectures.
Examining how regional regulatory regimes, infrastructure maturity, and procurement behavior shape differentiated adoption patterns for deep packet inspection across global markets
Regional dynamics influence technology adoption, partner ecosystems, and regulatory compliance, creating differentiated opportunity landscapes. In the Americas, adoption is driven by a strong appetite for cloud and managed services, mature telco ecosystems, and stringent privacy frameworks that demand robust DPI controls integrated with enterprise security stacks. Buyers in this region often prioritize rapid time-to-value and are receptive to subscription-based models, while service providers focus on augmenting edge capabilities and monetizing analytics derived from inspection data.
Europe, Middle East & Africa present a varied mosaic: privacy and data protection frameworks in Europe necessitate privacy-preserving inspection and strict data handling protocols, whereas in parts of the Middle East and Africa infrastructural modernization priorities encourage hybrid approaches that combine on-premises resilience with cloud agility. Regional vendor partnerships and localized compliance expertise frequently determine procurement decisions. In Asia-Pacific, a mix of advanced markets and rapidly digitizing economies creates both sophisticated demand for high-throughput DPI in large enterprises and scalable, cost-conscious solutions for smaller firms. In many APAC markets, local manufacturing initiatives and regional supply chains also influence vendor selection and deployment timing.
Highlighting strategic vendor moves that combine software-first engineering, ecosystem partnerships, and privacy-aware capabilities to secure competitive advantage in inspection solutions
Leading companies in the DPI space are aligning product roadmaps with software-first architectures, expanding managed service portfolios, and strengthening ecosystem partnerships to embed inspection capabilities within broader security and observability suites. Many vendors are investing in containerized deployment models, integration with orchestration platforms, and acceleration via programmable data planes to meet the needs of both cloud-native applications and high-throughput core networks. Strategic alliances with cloud providers, NIC manufacturers, and systems integrators help companies offer validated reference architectures that reduce deployment risk for large customers.
Competitive differentiation increasingly rests on the ability to deliver privacy-aware inspection workflows, robust analytics, and clear operational playbooks for deployment and incident response. Companies that couple intelligent telemetry with automation for policy lifecycle management stand to win long-term engagements. At the same time, success hinges on transparent compliance documentation, extensible APIs for SIEM and SOAR integrations, and flexible commercial terms that accommodate both capital and operational buying models. Partnerships with regional integrators and localized support capabilities also remain critical to closing enterprise deals in regulated and complex verticals.
Action-oriented recommendations for technology leaders to adopt modular architectures, privacy-first practices, and strategic partnerships that lower deployment risk and accelerate adoption
Industry leaders should prioritize modular, software-defined architectures that decouple inspection logic from proprietary hardware while optimizing for accelerated packet processing. By investing in platform portability and support for commodity servers and smart NICs, organizations reduce supply chain risk and increase deployment flexibility. Concurrently, operational teams must adopt automation and policy orchestration to manage distributed inspection points, enabling consistent enforcement and faster incident response across hybrid environments.
Vendors and buying organizations must also adopt privacy-by-design principles, implementing selective inspection, strong access controls, and comprehensive audit trails to meet regulatory requirements and maintain stakeholder trust. Strategic partnerships with cloud providers, systems integrators, and regional manufacturers will accelerate time-to-deploy and local compliance. Finally, leaders should pilot managed service engagements to evaluate outcomes before committing to large capital investments, using these pilots to refine SLAs, logging protocols, and change management processes that will scale across the enterprise.
Describing a layered research methodology that integrates primary interviews, technical testing, and rigorous secondary analysis to ensure credible, actionable findings
This research synthesizes primary qualitative inputs and rigorous secondary analysis to deliver actionable insights. Primary inputs include structured interviews with network architects, security operations leaders, and systems integrators, complemented by technical evaluations of vendor offerings and hands-on testing of representative deployment scenarios. Secondary analysis leverages industry literature, vendor documentation, regulatory texts, and field reports to triangulate findings and validate technical claims.
Methodologically, the study applies a layered approach: mapping requirements across component and services dimensions, assessing installation and deployment trade-offs, and evaluating sector-specific constraints such as compliance and latency sensitivity. Triangulation ensures consistency between observed behaviors, documented capabilities, and stakeholder intent. Quality assurance measures include cross-validation of interview transcripts, repeatability checks on technical tests, and expert peer review to surface divergent interpretations. Limitations stem from rapidly evolving product roadmaps and regionally specific regulatory nuances, which are noted to contextualize the analysis and guide follow-up inquiries.
Concluding perspectives that synthesize technical, operational, and commercial imperatives to guide pragmatic decision-making for deep packet inspection initiatives
In conclusion, deep packet inspection is transitioning from a monolithic, appliance-bound function to a set of distributed, policy-driven services that must coexist with encryption, cloud-native workloads, and heightened regulatory scrutiny. The essential task for organizations is to balance the need for visibility and control with imperatives around privacy, performance, and operational simplicity. Those that adopt software-defined, portable DPI solutions and embrace automation will be better positioned to respond to changing network topologies and procurement dynamics.
Success also depends on aligning commercial models with operational realities: managed services and flexible licensing can mitigate supply chain pressures and accelerate deployment, while industry-specific reference architectures reduce integration complexity. By grounding decisions in clear use-case prioritization, rigorous validation, and privacy-preserving inspection techniques, stakeholders can derive sustained value from DPI investments while minimizing risk.
Note: PDF & Excel + Online Access - 1 Year
Introducing a concise strategic framing of deep packet inspection that explains its evolving technical role across modern network architectures and operational priorities
Deep packet inspection (DPI) sits at the intersection of network observability, security enforcement, and traffic optimization, evolving from an appliance-centric utility to a flexible, policy-driven platform. Today’s DPI implementations must reconcile high-throughput packet processing with pervasive encryption, privacy constraints, and dynamic service models. This introduction synthesizes the technical role DPI plays across modern architectures and outlines why organizations are re-evaluating deployment patterns to balance visibility, latency, and compliance.
Enterprises and service providers are shifting from static rule sets toward context-aware policies that leverage metadata, flow analysis, and selective decryption in controlled environments. As applications migrate to cloud-native topologies and microsegmented fabrics, DPI capabilities are being reimagined to operate as distributed services that integrate with orchestration layers and telemetry pipelines. In parallel, operational teams demand clearer economics around managed versus in-house models, while architects prioritize modularity and API-driven controls to future-proof DPI investments.
Explaining the converging technological and regulatory forces that are redefining how deep packet inspection is architected, deployed, and consumed across diverse IT environments
The landscape for deep packet inspection is experiencing transformative shifts driven by four converging forces: pervasive encryption, cloud-native application patterns, edge compute expansion, and regulatory emphasis on data protection. Encryption increases the visibility challenge but also spurs innovation in metadata analytics and selective, policy-governed inspection techniques. Meanwhile, the migration of workloads to cloud environments requires DPI to be re-architected for elasticity and multi-tenancy rather than monolithic appliances.
Edge computing and the rise of distributed services push DPI capabilities closer to users and devices, reducing latency for real-time inspection while creating new orchestration and lifecycle complexities. Regulatory developments compel tighter controls on how inspection is performed, logged, and retained, prompting investment in privacy-preserving techniques and stronger integration with identity and access management systems. Collectively, these shifts are accelerating a move toward DPI implementations that are software-defined, orchestrated, and delivered as modular services within broader security and performance stacks.
Analyzing how 2025 tariff shifts on networking hardware components are reshaping procurement preferences, supply chains, and vendor strategies with tangible operational repercussions
Tariff changes announced in 2025 affecting imports of networking components and inspection appliances have a cascading influence across procurement, deployment cadence, and vendor strategies. Higher duties on hardware components create an incentive to pivot toward software-centric appliances and cloud-hosted inspection services that rely less on specialized imported chassis. As buyers reassess total cost of ownership, procurement teams are likely to prioritize vendors with flexible consumption models and hardware-agnostic software that supports commodity servers and virtualized infrastructures.
Service providers and integrators face increased pressure to rationalize supply chains and qualify alternative suppliers, while managed service offerings become more attractive to enterprises seeking to avoid capital expenditures and logistics risk. The tariff environment also influences innovation trajectories: vendors accelerate investments in software optimization, offloading techniques, and smart NIC support to reduce dependency on proprietary hardware. In addition, the shift incentivizes localized manufacturing and regional partnerships, which in turn impacts time-to-deploy for large-scale rollouts and affects decisions around on-premises versus cloud-based deployment modes.
Unpacking nuanced segmentation-driven perspectives that reveal distinct buyer priorities, deployment constraints, and industry-specific technical requirements for deep packet inspection
Effective segmentation-driven insight illuminates where value concentrates and how go-to-market strategies should be tailored. When the market is parsed by component, services and solutions surface distinct buyer priorities: solutions emphasize integrated feature sets and interoperability, whereas services split into managed services that appeal to outcomes-oriented buyers and professional services that support complex integration and customization. This distinction affects vendor positioning, as those offering managed operations, continuous tuning, and SLA guarantees speak differently to procurement teams than vendors selling project-based consulting engagements.
Installation modality bifurcates demand between integrated systems that simplify deployment and standalone elements that enable targeted enhancements to existing stacks, informing channel strategies and partner enablement. Deployment mode decisions between cloud-based and on-premises options hinge on factors such as data sovereignty, latency sensitivity, and integration with existing orchestration. Enterprise size further differentiates requirements: large enterprises typically demand extensive customization, orchestration integration, and centralized governance, while small and medium enterprises favor packaged solutions with lower operational overhead. Application-level segmentation shows varied technical drivers; use cases such as data loss prevention, database management with both SQL and NoSQL considerations, intrusion detection and prevention, network performance management, and traffic management impose distinct latency, throughput, and logging requirements. Finally, end-user industry dynamics-whether in banking, government, healthcare, IT and telecom, manufacturing, or retail-shape compliance constraints, traffic patterns, and procurement cycles, requiring vendors and integrators to craft industry-specific value propositions and reference architectures.
Examining how regional regulatory regimes, infrastructure maturity, and procurement behavior shape differentiated adoption patterns for deep packet inspection across global markets
Regional dynamics influence technology adoption, partner ecosystems, and regulatory compliance, creating differentiated opportunity landscapes. In the Americas, adoption is driven by a strong appetite for cloud and managed services, mature telco ecosystems, and stringent privacy frameworks that demand robust DPI controls integrated with enterprise security stacks. Buyers in this region often prioritize rapid time-to-value and are receptive to subscription-based models, while service providers focus on augmenting edge capabilities and monetizing analytics derived from inspection data.
Europe, Middle East & Africa present a varied mosaic: privacy and data protection frameworks in Europe necessitate privacy-preserving inspection and strict data handling protocols, whereas in parts of the Middle East and Africa infrastructural modernization priorities encourage hybrid approaches that combine on-premises resilience with cloud agility. Regional vendor partnerships and localized compliance expertise frequently determine procurement decisions. In Asia-Pacific, a mix of advanced markets and rapidly digitizing economies creates both sophisticated demand for high-throughput DPI in large enterprises and scalable, cost-conscious solutions for smaller firms. In many APAC markets, local manufacturing initiatives and regional supply chains also influence vendor selection and deployment timing.
Highlighting strategic vendor moves that combine software-first engineering, ecosystem partnerships, and privacy-aware capabilities to secure competitive advantage in inspection solutions
Leading companies in the DPI space are aligning product roadmaps with software-first architectures, expanding managed service portfolios, and strengthening ecosystem partnerships to embed inspection capabilities within broader security and observability suites. Many vendors are investing in containerized deployment models, integration with orchestration platforms, and acceleration via programmable data planes to meet the needs of both cloud-native applications and high-throughput core networks. Strategic alliances with cloud providers, NIC manufacturers, and systems integrators help companies offer validated reference architectures that reduce deployment risk for large customers.
Competitive differentiation increasingly rests on the ability to deliver privacy-aware inspection workflows, robust analytics, and clear operational playbooks for deployment and incident response. Companies that couple intelligent telemetry with automation for policy lifecycle management stand to win long-term engagements. At the same time, success hinges on transparent compliance documentation, extensible APIs for SIEM and SOAR integrations, and flexible commercial terms that accommodate both capital and operational buying models. Partnerships with regional integrators and localized support capabilities also remain critical to closing enterprise deals in regulated and complex verticals.
Action-oriented recommendations for technology leaders to adopt modular architectures, privacy-first practices, and strategic partnerships that lower deployment risk and accelerate adoption
Industry leaders should prioritize modular, software-defined architectures that decouple inspection logic from proprietary hardware while optimizing for accelerated packet processing. By investing in platform portability and support for commodity servers and smart NICs, organizations reduce supply chain risk and increase deployment flexibility. Concurrently, operational teams must adopt automation and policy orchestration to manage distributed inspection points, enabling consistent enforcement and faster incident response across hybrid environments.
Vendors and buying organizations must also adopt privacy-by-design principles, implementing selective inspection, strong access controls, and comprehensive audit trails to meet regulatory requirements and maintain stakeholder trust. Strategic partnerships with cloud providers, systems integrators, and regional manufacturers will accelerate time-to-deploy and local compliance. Finally, leaders should pilot managed service engagements to evaluate outcomes before committing to large capital investments, using these pilots to refine SLAs, logging protocols, and change management processes that will scale across the enterprise.
Describing a layered research methodology that integrates primary interviews, technical testing, and rigorous secondary analysis to ensure credible, actionable findings
This research synthesizes primary qualitative inputs and rigorous secondary analysis to deliver actionable insights. Primary inputs include structured interviews with network architects, security operations leaders, and systems integrators, complemented by technical evaluations of vendor offerings and hands-on testing of representative deployment scenarios. Secondary analysis leverages industry literature, vendor documentation, regulatory texts, and field reports to triangulate findings and validate technical claims.
Methodologically, the study applies a layered approach: mapping requirements across component and services dimensions, assessing installation and deployment trade-offs, and evaluating sector-specific constraints such as compliance and latency sensitivity. Triangulation ensures consistency between observed behaviors, documented capabilities, and stakeholder intent. Quality assurance measures include cross-validation of interview transcripts, repeatability checks on technical tests, and expert peer review to surface divergent interpretations. Limitations stem from rapidly evolving product roadmaps and regionally specific regulatory nuances, which are noted to contextualize the analysis and guide follow-up inquiries.
Concluding perspectives that synthesize technical, operational, and commercial imperatives to guide pragmatic decision-making for deep packet inspection initiatives
In conclusion, deep packet inspection is transitioning from a monolithic, appliance-bound function to a set of distributed, policy-driven services that must coexist with encryption, cloud-native workloads, and heightened regulatory scrutiny. The essential task for organizations is to balance the need for visibility and control with imperatives around privacy, performance, and operational simplicity. Those that adopt software-defined, portable DPI solutions and embrace automation will be better positioned to respond to changing network topologies and procurement dynamics.
Success also depends on aligning commercial models with operational realities: managed services and flexible licensing can mitigate supply chain pressures and accelerate deployment, while industry-specific reference architectures reduce integration complexity. By grounding decisions in clear use-case prioritization, rigorous validation, and privacy-preserving inspection techniques, stakeholders can derive sustained value from DPI investments while minimizing risk.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
190 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. Impact of widespread adoption of TLS 1.3 and QUIC encryption on deep packet inspection capabilities in enterprise networks
- 5.2. Integration of machine learning algorithms into DPI solutions for real-time anomalous traffic detection and classification
- 5.3. Use of hardware acceleration with FPGA and ASIC platforms to improve DPI throughput and reduce latency in high-speed networks
- 5.4. Evolution of DPI deployment models with edge computing architectures to enable distributed traffic analytics at network perimeters
- 5.5. Regulatory challenges and compliance strategies for DPI in light of GDPR, CCPA, and other global data privacy requirements
- 5.6. Adoption of DPI as a virtualized network function within NFV frameworks to support dynamic service chaining and orchestration
- 5.7. Role of DPI in securing IoT and industrial control system communications against sophisticated protocol-based exploits
- 5.8. Application of DPI for user experience monitoring and quality of service optimization in 5G network slicing environments
- 5.9. Leveraging cloud-native DPI solutions to analyze encrypted traffic flows without compromising multi-tenant infrastructure security
- 5.10. Challenges of balancing deep packet inspection accuracy and user privacy in zero trust and secure access service edge architectures
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Deep Packet Inspection Market, by Component
- 8.1. Services
- 8.1.1. Managed Services
- 8.1.2. Professional Services
- 8.2. Solutions
- 9. Deep Packet Inspection Market, by Installation
- 9.1. Integrated
- 9.2. Standalone
- 10. Deep Packet Inspection Market, by Deployment Mode
- 10.1. Cloud-Based
- 10.2. On-Premises
- 11. Deep Packet Inspection Market, by Enterprise Size
- 11.1. Large Enterprises
- 11.2. Small & Medium Enterprises
- 12. Deep Packet Inspection Market, by Application
- 12.1. Data Loss Prevention
- 12.2. Database Management
- 12.2.1. NoSQL Database Management
- 12.2.2. SQL Database Management
- 12.3. Intrusion Detection & Prevention System
- 12.4. Network Performance Management
- 12.5. Traffic Management
- 13. Deep Packet Inspection Market, by End-user
- 13.1. Banking, Financial Services and Insurance (BFSI)
- 13.2. Government
- 13.3. Healthcare
- 13.4. IT & Telecom
- 13.5. Manufacturing
- 13.6. Retail
- 14. Deep Packet Inspection 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. Deep Packet Inspection Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Deep Packet Inspection 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. AllotWorks
- 17.3.2. Broadcom Inc.
- 17.3.3. Cisco Systems, Inc.
- 17.3.4. Cubro Network Visibility
- 17.3.5. Enea AB
- 17.3.6. Extreme Networks, Inc.
- 17.3.7. Huawei Technologies Co., Ltd.
- 17.3.8. International Business Machines Corporation
- 17.3.9. Juniper Networks, Inc.
- 17.3.10. LevelBlue
- 17.3.11. Lionic Corporation
- 17.3.12. LogRhythm, Inc.
- 17.3.13. Lumen Technologies
- 17.3.14. NEC Corporation
- 17.3.15. Netify
- 17.3.16. Netronome Systems, Inc.
- 17.3.17. NetScout Systems, Inc.
- 17.3.18. NexNet Solutions
- 17.3.19. Nokia Corporation
- 17.3.20. Rohde & Schwarz GmbH & Co KG
- 17.3.21. Sandvine Incorporated
- 17.3.22. SolarWinds Corporation
- 17.3.23. Trovicor Intelligence
- 17.3.24. Viavi Solutions Inc.
- 17.3.25. WiseSpot Company Limited
- 17.3.26. Zoho Corporation
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