2026 Global: Artificial Intelligence (Ai) In Security Market-Competitive Review (2032) report
Description
The 2026 Global: Artificial Intelligence (Ai) In Security 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 artificial intelligence (ai) in security market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in security 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:
The Artificial Intelligence (AI) in Security Market is dominated by ten major companies leveraging machine learning, behavioral analysis, and autonomous response systems to combat evolving cyber threats across endpoints, networks, clouds, and identities. Leading players include Palo Alto Networks, CrowdStrike, Darktrace, Microsoft, Fortinet, SentinelOne, Vectra AI, Abnormal Security, Check Point Software Technologies, and Zscaler, each offering specialized AI-driven platforms for real-time detection and mitigation. These firms integrate advanced analytics to handle zero-day attacks, ransomware, and insider threats, with market revenues exceeding billions for top providers like Microsoft ($69.63B) and Palo Alto Networks ($2.26B) as of late 2024-2025. Their solutions emphasize automation, reducing response times and human error in complex IT environments.
Palo Alto Networks' Cortex XDR and XSIAM platforms unify network, endpoint, and cloud data with AI for pattern detection and automated responses, serving global enterprises with seamless integrations. CrowdStrike's Falcon XDR employs behavioral AI and self-healing automation to visualize attack paths and neutralize threats autonomously, earning praise for its intuitive forensics. Darktrace's ActiveAI Security Platform mimics human immune systems, using self-learning algorithms for real-time anomaly detection and self-healing across networks. Microsoft Defender XDR integrates AI across its ecosystem for unified threat protection in endpoints, email, and cloud, streamlining operations for SMEs and enterprises. Fortinet's FortiAI enhances its Security Fabric with neural networks for zero-day threat detection and AIOps-driven triage, spanning firewalls to multi-cloud defenses.
SentinelOne's Singularity XDR provides autonomous rollback and hyperautomation via AI SIEM, excelling in endpoint and identity protection. Vectra AI's Cognito platform delivers network detection and response (NDR) by analyzing traffic and behaviors for lateral movement and DNS attacks. Check Point's Infinity Platform offers AI-powered unified management for cloud and endpoints, with behavioral analysis and automated responses. Zscaler's Zero Trust Exchange uses AI for real-time threat mitigation in cloud connections, eliminating legacy appliances. Abnormal Security focuses on email and cloud threat prevention with ML-driven anomaly detection, while emerging players like Wiz bolster AI-specific posture management. Collectively, these companies drive the market's growth through innovation and adaptability.
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 artificial intelligence (ai) in security market by geography and historical trend. The scope of the report extends to sizing of the artificial intelligence (ai) in security 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:
The Artificial Intelligence (AI) in Security Market is dominated by ten major companies leveraging machine learning, behavioral analysis, and autonomous response systems to combat evolving cyber threats across endpoints, networks, clouds, and identities. Leading players include Palo Alto Networks, CrowdStrike, Darktrace, Microsoft, Fortinet, SentinelOne, Vectra AI, Abnormal Security, Check Point Software Technologies, and Zscaler, each offering specialized AI-driven platforms for real-time detection and mitigation. These firms integrate advanced analytics to handle zero-day attacks, ransomware, and insider threats, with market revenues exceeding billions for top providers like Microsoft ($69.63B) and Palo Alto Networks ($2.26B) as of late 2024-2025. Their solutions emphasize automation, reducing response times and human error in complex IT environments.
Palo Alto Networks' Cortex XDR and XSIAM platforms unify network, endpoint, and cloud data with AI for pattern detection and automated responses, serving global enterprises with seamless integrations. CrowdStrike's Falcon XDR employs behavioral AI and self-healing automation to visualize attack paths and neutralize threats autonomously, earning praise for its intuitive forensics. Darktrace's ActiveAI Security Platform mimics human immune systems, using self-learning algorithms for real-time anomaly detection and self-healing across networks. Microsoft Defender XDR integrates AI across its ecosystem for unified threat protection in endpoints, email, and cloud, streamlining operations for SMEs and enterprises. Fortinet's FortiAI enhances its Security Fabric with neural networks for zero-day threat detection and AIOps-driven triage, spanning firewalls to multi-cloud defenses.
SentinelOne's Singularity XDR provides autonomous rollback and hyperautomation via AI SIEM, excelling in endpoint and identity protection. Vectra AI's Cognito platform delivers network detection and response (NDR) by analyzing traffic and behaviors for lateral movement and DNS attacks. Check Point's Infinity Platform offers AI-powered unified management for cloud and endpoints, with behavioral analysis and automated responses. Zscaler's Zero Trust Exchange uses AI for real-time threat mitigation in cloud connections, eliminating legacy appliances. Abnormal Security focuses on email and cloud threat prevention with ML-driven anomaly detection, while emerging players like Wiz bolster AI-specific posture management. Collectively, these companies drive the market's growth through innovation and adaptability.
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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