Enterprise Cybersecurity Data Analytics Platforms sector
Strategic acquirers, private equity (buyout funds and growth funds) firms, and valuation benchmarks for Enterprise Cybersecurity Data Analytics Platforms
1.1 - About Enterprise Cybersecurity Data Analytics Platforms sector
Companies in the Enterprise Cybersecurity Data Analytics Platforms category provide big-data-driven security tooling that ingests, normalizes, and analyzes massive volumes of logs, network flows, and endpoint telemetry. They deliver advanced detection, investigation, and response capabilities by correlating signals at scale and applying machine learning. Buyers use these platforms to surface high-risk events faster, reduce false positives, and centralize security data governance.
Offerings typically include cloud-native SIEM for centralized log management and correlation, SOAR to automate playbooks and orchestrate responses, and UEBA to profile user and entity behavior. Vendors also provide threat intelligence aggregation, anomaly detection on network traffic and endpoint telemetry, scalable streaming ingestion pipelines, a security data lake, real-time alerting, and investigation workbenches with case management, audit trails, and API integrations into EDR, IAM, and ticketing systems.
Primary customers include enterprise SOC teams, regulated financial institutions, and cloud-native SaaS providers seeking scalable detection and response. Outcomes typically include faster threat identification, reduced mean time to detect and respond, improved compliance reporting and audit readiness, and consolidation of fragmented security telemetry into a single analytics layer, enabling better risk prioritization and more efficient incident workflows across hybrid and multi-cloud environments.
2. Buyers in the Enterprise Cybersecurity Data Analytics Platforms sector
2.1 Top strategic acquirers of Enterprise Cybersecurity Data Analytics Platforms companies
Riskified
HQ: United States
Website
- Description: Provider of an AI-powered fraud and risk intelligence platform that delivers real-time decisions for every ecommerce interaction, guarantees chargeback protection, fights fraud and policy abuse at scale, and supplies identity-based insights that help online merchants boost approvals, protect revenue and strengthen customer retention.
- Key Products:
- AI-Powered Fraud & Risk Intelligence Platform: Uses machine-learning to analyze each online interaction in real time, issuing approve/decline decisions and identity insights that raise approval rates and block fraud
- Chargeback Guarantee Service: Assumes liability for card-not-present chargebacks, letting merchants safely accept more orders and recover revenue lost to disputes
- Policy & Abuse Prevention Tools: Detects and stops policy abuse such as reseller bots, returns fraud and account takeovers, preserving margins without adding checkout friction
- Agentic Commerce Protection: Joint HUMAN Sightline AgenticTrust integration identifies legitimate AI shopping agent traffic, reduces false declines and prevents emerging AI-driven fraud schemes.
- Company type: Private company
- Employees: ●●●●●
- Total funding raised: $●●●m
- Backers: ●●●●●●●●●●
- Acquisitions: ●●
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2.2 - Strategic buyer groups for Enterprise Cybersecurity Data Analytics Platforms sector
M&A buyer group 1: Security Analytics
50 companies
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Description: Companies in the Enterprise Security Analytics Platforms category deliver cloud-native systems that ingest, normalize, and analyze high-volume security telemetry across endpoints, networks, identities, cloud workloads, and external attack surfaces. They correlate events, apply behavioral analytics, and orchestrate response to surface true threats faster. The value proposition is unified SOC visibility, automated investigation, and repeatable incident response that reduce risk, tooling sprawl, and mean time to detect and remediate.
Netscout
- Type: N/A
- Employees: ●●●●●
- Description: Provider of network and application performance management, packet-level analytics, cybersecurity, and DDoS protection solutions that give enterprises and communication service providers real-time visibility, threat detection, and performance optimization across physical, virtual, and cloud environments.
- Key Products:
- nGeniusONE for Enterprise: Provides real-time visibility across enterprise networks, correlating packet data to monitor application and network performance, troubleshoot issues, and enhance user experience
- InfiniStreamNG: Captures, stores, and analyzes packet-level traffic in real time, enabling deep troubleshooting and performance optimization across heterogeneous IT infrastructures
- Omnis CyberStream: Utilizes packet-level analytics to detect, investigate, and respond to cyberthreats in real time, identifying suspicious activity and accelerating security response
- Arbor Sightline: Applies network intelligence analytics to detect, analyze, and mitigate DDoS attacks across complex service provider and enterprise networks, safeguarding service availability and performance.
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●● companies
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Buyer group 3: ████████ ████████
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Key Products: ████████, ████████, ████████, ████████
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3. Investors and private equity firms in Enterprise Cybersecurity Data Analytics Platforms sector
3.1 - Buyout funds in the Enterprise Cybersecurity Data Analytics Platforms sector
2.2 - Strategic buyer groups for Enterprise Cybersecurity Data Analytics Platforms sector
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4 - Top valuation comps for Enterprise Cybersecurity Data Analytics Platforms companies
4.2 - Public trading comparable groups for Enterprise Cybersecurity Data Analytics Platforms sector
Valuation benchmark group 1: Enterprise Cybersecurity Software Companies
14 companies
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Description: Companies in this group are public cybersecurity software providers delivering platforms that secure networks, endpoints, applications, identities, and cloud workloads. Offerings are predominantly subscription-based SaaS and maintenance, often paired with virtual or physical appliances, generating high gross margins. They are grouped as trading comparables given similar product portfolios, recurring revenue models, enterprise customer profiles, and valuation drivers tied to ARR growth, net retention, and operating leverage.
Cisco Systems
- Enterprise value: $●●●m
- Market Cap: $●●●m
- EV/Revenue: ●.●x
- EV/EBITDA: ●●.●x
- Description: Provider of networking, security, collaboration, and cloud management products and services, integrating these technologies to create highly secure, intelligent platforms for digital businesses worldwide. Offers technical support, advanced services, and advisory services for seamless deployment and optimization of IT environments.
- Key Products:
- Networking: Solutions including campus switching, data center switching, enterprise routing, and wireless products for secure connectivity
- Security: End-to-end security products such as network security, cloud security, security endpoints, unified threat management, and zero trust solutions
- Collaboration: Products such as Webex, collaboration devices, calling, contact center, and communication platforms
- Cloud Management: Platforms and services for managing cloud environments
- Technical Services: Support, advisory, and optimization services for IT environments.
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Revenue growth
Median
15.7%
2025E
16.0%
2026E
EBITDA margin
Median
28.2%
2025E
28.6%
2026E
Cash EBITDA margin
Median
27.6%
2025E
28.0%
2026E
EV/Revenue
Median
8.4x
2025E
6.8x
2026E
EV/EBITDA
Median
28.9x
2025E
24.4x
2026E
EV/Cash EBITDA
Median
29.0x
2025E
25.5x
2026E
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