2026 Global: Botnet Detection Market-Competitive Review (2032) report
Description
The 2026 Global: Botnet Detection Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for botnet detection market by geography and historical trend. The scope of the report extends to sizing of the botnet detection market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Recorded Future, CrowdStrike, Palo Alto Networks, Akamai, Imperva, Radware, Cloudflare, HUMAN Security (PerimeterX), DataDome, and Netacea are among the ten major companies shaping the botnet detection market through a mix of threat intelligence, behavioral analytics, edge mitigation, and integrated security platforms. Recorded Future leverages vast open‑, deep‑, and dark‑web collection with real‑time analytics to provide contextualized indicators of compromise and attacker infrastructure that support botnet hunting and attribution. CrowdStrike brings endpoint detection and response (EDR) and cloud‑native telemetry together with threat hunting teams to detect botnet‑driven lateral movement and C2 communications across endpoints and cloud workloads. Palo Alto Networks integrates next‑generation firewalling, cloud security, and unitary threat intelligence to block botnet traffic at network and application layers while feeding telemetry into centralized detection engines. Akamai couples its global CDN and edge platform with behavioral modeling to mitigate large‑scale botnet traffic and credential‑stuffing attacks at the edge, reducing origin load and attack surface. Imperva (including the Distil legacy) and Radware emphasize intent‑driven bot detection and deception techniques: Imperva pairs device fingerprinting and automated defenses with application security, while Radware uses machine learning, intent analysis, and active deception to slow and confuse botnet campaigns. Cloudflare offers turnkey edge defenses, rate limiting, and global reputation controls that rapidly absorb and filter volumetric botnet floods and automated abuse close to source. HUMAN Security (PerimeterX) focuses on behavioral analytics and collective industry intelligence to identify sophisticated botnets and fraud patterns in real time, supporting retail and financial use cases where transaction integrity is critical. DataDome provides high‑performance, low‑latency bot detection with in‑memory pattern matching and ML scoring to defend APIs and web properties against scraping and credential stuffing at scale. Netacea emphasizes session‑ and intent‑based analysis to predict bot goals and prioritize nondisruptive mitigations that preserve legitimate user experience while reducing false positives.
These vendors differentiate on data sources, detection approach, deployment model, and ecosystem integration: some lead with raw threat intelligence and human analysis to attribute botnets and map attacker infrastructures, others prioritize behavioral biometrics and session intent to separate human from machine without user friction, while CDN and WAF providers emphasize edge enforcement to shield origins from botnet traffic. Enterprise buyers evaluate scalability for global retail spikes, accuracy to avoid customer friction, forensic visibility for incident response, and integration with SIEM/XDR pipelines and cloud platforms; Recorded Future, CrowdStrike, and Palo Alto typically appeal to organizations needing deep telemetry and investigation, whereas Akamai, Cloudflare, and DataDome suit high‑traffic consumer services requiring high‑throughput edge mitigation. Emerging needs—API protection, ML‑driven synthetic user detection, and adaptive, privacy‑aware behavioral models—are driving consolidation and feature convergence as vendors add deception, threat sharing, and managed detection services to address increasingly autonomous, AI‑assisted botnets.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for botnet detection market by geography and historical trend. The scope of the report extends to sizing of the botnet detection market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
Recorded Future, CrowdStrike, Palo Alto Networks, Akamai, Imperva, Radware, Cloudflare, HUMAN Security (PerimeterX), DataDome, and Netacea are among the ten major companies shaping the botnet detection market through a mix of threat intelligence, behavioral analytics, edge mitigation, and integrated security platforms. Recorded Future leverages vast open‑, deep‑, and dark‑web collection with real‑time analytics to provide contextualized indicators of compromise and attacker infrastructure that support botnet hunting and attribution. CrowdStrike brings endpoint detection and response (EDR) and cloud‑native telemetry together with threat hunting teams to detect botnet‑driven lateral movement and C2 communications across endpoints and cloud workloads. Palo Alto Networks integrates next‑generation firewalling, cloud security, and unitary threat intelligence to block botnet traffic at network and application layers while feeding telemetry into centralized detection engines. Akamai couples its global CDN and edge platform with behavioral modeling to mitigate large‑scale botnet traffic and credential‑stuffing attacks at the edge, reducing origin load and attack surface. Imperva (including the Distil legacy) and Radware emphasize intent‑driven bot detection and deception techniques: Imperva pairs device fingerprinting and automated defenses with application security, while Radware uses machine learning, intent analysis, and active deception to slow and confuse botnet campaigns. Cloudflare offers turnkey edge defenses, rate limiting, and global reputation controls that rapidly absorb and filter volumetric botnet floods and automated abuse close to source. HUMAN Security (PerimeterX) focuses on behavioral analytics and collective industry intelligence to identify sophisticated botnets and fraud patterns in real time, supporting retail and financial use cases where transaction integrity is critical. DataDome provides high‑performance, low‑latency bot detection with in‑memory pattern matching and ML scoring to defend APIs and web properties against scraping and credential stuffing at scale. Netacea emphasizes session‑ and intent‑based analysis to predict bot goals and prioritize nondisruptive mitigations that preserve legitimate user experience while reducing false positives.
These vendors differentiate on data sources, detection approach, deployment model, and ecosystem integration: some lead with raw threat intelligence and human analysis to attribute botnets and map attacker infrastructures, others prioritize behavioral biometrics and session intent to separate human from machine without user friction, while CDN and WAF providers emphasize edge enforcement to shield origins from botnet traffic. Enterprise buyers evaluate scalability for global retail spikes, accuracy to avoid customer friction, forensic visibility for incident response, and integration with SIEM/XDR pipelines and cloud platforms; Recorded Future, CrowdStrike, and Palo Alto typically appeal to organizations needing deep telemetry and investigation, whereas Akamai, Cloudflare, and DataDome suit high‑traffic consumer services requiring high‑throughput edge mitigation. Emerging needs—API protection, ML‑driven synthetic user detection, and adaptive, privacy‑aware behavioral models—are driving consolidation and feature convergence as vendors add deception, threat sharing, and managed detection services to address increasingly autonomous, AI‑assisted botnets.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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