Austin, Aug. 07, 2026 (GLOBE NEWSWIRE) -- The Artificial Intelligence in Cybersecurity Market was valued at USD 32.00 Billion in 2025 and is projected to reach USD 275.02 Billion by 2035, growing at a CAGR of 24.0% during the forecast period.
Increasing Cyber Threat Sophistication and Enterprise Digital Transformation Accelerate Market Growth
The rising trends of ransomware, phishing attacks, advanced persistent threats, and others are still contributing towards increasing enterprise demands for AI-based cybersecurity measures. Businesses have been seen leveraging artificial intelligence techniques to automate the process of threat detection and incident responses, along with enhancing their behavioral analysis and prediction of future threats. In addition, with the rising trends of cloud computing technology, growing infrastructure, and lack of cybersecurity experts, there is also a need to adopt AI-based security systems that can enhance human intelligence.
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Segmentation Analysis
By Type
Network Security was the largest revenue contributor within the artificial intelligence in cybersecurity market in 2025, contributing 36% to the market’s total revenue, owing to high demands for network security to prevent the networks from sophisticated cyber-attacks. Network Security powered by AI helps in continuously monitoring the traffic, detecting anomalies, and preventing cyber threats in real time. Among all segments, Cloud Security is expected to witness the highest growth rate.
By Offering
The Software market segment captured the maximum market share of 58%, backed by the high use of AI-based cybersecurity software used for detecting threats, endpoint security, behavioral analytics, and automated incident response. Advancements in machine learning and cloud-native security solutions have added impetus to the demand in the market. The Services market segment is anticipated to show the highest growth rate owing to the increasing need for consulting and deployment services.
By Technology
Machine Learning topped the list in the technologies category, capturing a 52% share in the market in 2025 owing to its capability of analyzing massive amounts of data relating to security, recognizing attack patterns, lowering false positives, and real-time threat detection through predictive analytics. Context-aware computing is predicted to experience the most significant rate of growth, attributed to the increasing use of adaptive cybersecurity, Zero Trust architectures, and AI identity management.
By Vertical
BFSI was the leading segment and held a revenue share of 24% in 2025 due to the rising number of cyber frauds, fast adoption of digital banking, stringent compliance with regulations, and high investment in AI-enabled data security and fraud detection. In terms of CAGR, the Healthcare market is forecasted to be the fastest-growing due to the rising number of cyberattacks on EHR, medical devices, telemedicine, and cloud services.
By Application
The Threat Intelligence section accounted for the maximum market share of 27%, owing to the growing popularity of AI-driven platforms that could help organizations identify threats, vulnerabilities, and offer automatic protection against them. The Fraud Detection/Anti-Fraud market is expected to register the highest CAGR in the future owing to the growing number of online payments, e-commerce, online banking, and advanced financial fraud.
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Regional Insights
North America emerged as the leader in the artificial intelligence in cybersecurity market in 2025, holding 40.08% of the global market share. The dominance of the region is due to the presence of key cybersecurity technology vendors, advanced digital infrastructure, regulations such as CCPA and HIPAA, and growing spending on AI-enabled threat intelligence, automated incident response, and behavior analytics solutions among enterprises.
The value of the U.S. artificial intelligence in cybersecurity market was estimated at around USD 9.50 Billion in 2025 and is expected to grow to around USD 79.73 Billion by 2035, growing at a CAGR of 23.7%. The country holds the dominant position in the global market owing to its digital economy, increased cyberattack frequency, widespread use of the cloud, and growing spending on AI-driven cybersecurity solutions.
The Europe artificial intelligence in cybersecurity market was valued at approximately USD 8.96 Billion in 2025 and is expected to grow to USD 73.82 Billion by 2035, registering a CAGR of 23.54% during the forecast period. Europe continues to be one of the leading regions owing to regulatory laws on data protection, growing investments in enterprise cybersecurity, and use of advanced technologies for threat detection and response.
Asia Pacific is anticipated to exhibit the highest growth rate during the forecast period due to growing digital transformation, increased cloud implementation, rising deployment of IoT, and increasing investments in AI-driven cybersecurity systems in China, India, Japan, and Australia. Growing government initiatives for cybersecurity and awareness among enterprises of advanced cyber threats are driving the regional market growth.
Key Players:
- Palo Alto Networks
- CrowdStrike
- Microsoft
- IBM Security
- Cisco Systems
- Fortinet
- Check Point Software
- Trend Micro
- Splunk
- SentinelOne
- Darktrace
- Vectra AI
- Cybereason
- Rapid7
- Trellix (FireEye/McAfee Enterprise)
- Sophos
- Elastic
- LogRhythm
- Deep Instinct
- Exabeam
Recent Developments
2025: Darktrace expanded its self-learning AI-powered threat detection platform to strengthen autonomous, real-time anomaly detection across increasingly complex enterprise network environments.
2024: Vectra AI expanded its AI-powered Network Detection and Response (NDR) platform, strengthening behavioral analytics and proactive threat hunting capabilities for enterprise cybersecurity.
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Exclusive Sections of the Report (The USPs):
- AI-Powered Cybersecurity Adoption & Enterprise Security Framework Analysis – evaluates enterprise adoption trends across network, cloud, endpoint, and hybrid cybersecurity environments.
- Machine Learning & Context-Aware Computing Performance Benchmarks – analyzes advancements in AI-driven threat detection, behavioral analytics, predictive intelligence, and automated incident response.
- Network Security, Cloud Security & Threat Intelligence Application Analysis – assesses technology adoption across enterprise cybersecurity infrastructure and cloud-native security deployments.
- BFSI, Healthcare & Enterprise Cybersecurity Investment Insights – identifies investment trends driving AI-powered cybersecurity adoption across major industry verticals.
- Regulatory Compliance & AI Governance Tracker – examines GDPR, AI governance, explainability, compliance requirements, and their impact on enterprise cybersecurity strategies.
- AI-Driven Threat Detection & Next-Generation Cyber Defense Innovation Analysis – evaluates emerging AI technologies transforming predictive cybersecurity, automated threat response, and enterprise security operations.
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