United States AI in cybersecurity Industry is to reach USD 10,943.8 million by 2030-Driven by Demand for Automated, Real-Time Detection and Zero-Trust Security | DataM Intelligence

Leander, Texas and TOKYO, Japan- The U.S. AI in cybersecurity market size was estimated at approximately USD 4,748.7 million in 2024 and is projected to grow to about USD 10,943.8 million by 2030, with a compound annual growth rate (CAGR) of 14.9% from 2025 to 2030.

AI in Cybersecurity Market reached US$ 26.29 billion in 2024 and is expected to reach US$ 109.33 billion by 2032, growing with a CAGR of 19.50% during the forecast period 2025-2032.

This growth is driven by rising cyberattacks, cloud adoption, and complex IT environments push organizations to use AI for faster detection, automated response, and stronger real-time security.

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Industry Latest News 2025:

✅ November 2025: PwC's 2026 Global Digital Trust Insights survey shows AI as the top priority for cyber budgets (46%), surpassing cloud security and managed services. Security leaders prioritize AI threat hunting (60%) and agentic AI capabilities (47%) for enhanced cyber defense.

✅ November 2025: Google launched "Private AI Compute," a privacy-enhancing cloud technology designed to enable AI processing with on-device level privacy, aiming to securely unlock AI's power for cybersecurity applications without compromising personal data.

✅ November 2025: Industry reports emphasized the urgent need to develop AI-based defense systems to counteract sophisticated AI-powered cyber threats and protect critical infrastructure in government and private sectors.

✅ November 2025: NSFOCUS received Frost & Sullivan's 2025 Global Competitive Strategy Leadership award for AI-driven security operations, showing recognition of innovation and leadership in AI cybersecurity solutions

✅ November 2025: Cybercrime takedowns and arrests increased as AI-powered crime networks grow, with law enforcement intensifying campaigns against ransomware-as-a-service and other AI-augmented threats.

Recent Mergers & Acquisitions

- Google acquired AI/cloud security firm Wiz for $32B in March.

- Palo Alto Networks to acquire CyberArk for $25B announced in July.

- Mitsubishi Electric acquired Nozomi Networks for $900M in Q3.

- Check Point Software announced $300M acquisition of AI security startup Lakera.

- CrowdStrike planned $260M acquisition of AI security startup Pangea.

- F5 acquired AI security firm CalypsoAI for $180M.

- SentinelOne reached deals to acquire AI security startups Prompt Security ($180M) and Observo AI ($225M).

- Cato Networks acquired AI security firm Aim Security in September; financial terms not disclosed.

- Zscaler acquired MDR player Red Canary for $675M, closed in August.

- Q3 2025 total cybersecurity M&A deal value reached $27.1B across 70 deals.

Market Segmentation Analysis

By Security Type

- key areas include Network Security, the largest segment due to the critical need to protect complex network infrastructures; Endpoint Security, Application Security, Hardware Security, with a catch-all Others category for emerging niches.

By Component:

- Component segmentation breaks down into Hardware, Solutions, and Services, covering physical devices to software and support services essential for cybersecurity frameworks.

By Deployment:

- Deployment Type spans Cloud-Based and On-premises solutions, with cloud growing rapidly owing to scalability and flexibility in threat response.

By Technology:

- Technology segmentation focuses on Machine Learning as the core driver of AI capabilities, Natural Language Processing (NLP) enabling smarter anomaly and threat analysis, Context-aware computing for adaptive security, and Others including emerging AI techniques.

- Online Gaming: Requires low latency, high-speed content delivery.
Advertising: Relies on CDN for rapid delivery of ads and personalized content.

By Application:

- Application-wise, the market includes Identity and Access Management, NLP-powered functions, Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence, among others, driven by their critical roles in automated cyber defense.

By End- User:

- End-Use Industry segmentation shows broad adoption across Banking, Financial Services and Insurance (BFSI) as a dominant vertical due to regulatory and security demands, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, and Others such as education and energy sectors

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TheU.S. AI in Cybersecurity Market report would provide approximately

69 tables,
68 figures
202 Pages.

Growth Drivers:-

Increasing complexity and frequency of cyber threats demanding advanced AI-driven detection and response.

Growing adoption of IoT and connected devices expanding attack surfaces.

Rising concerns about data protection and privacy regulations driving AI security tool adoption.

Digital transformation and cloud integration accelerating need for scalable AI cybersecurity solutions.

AI enabling real-time threat detection, automated incident response, and adaptive security models.

BFSI sector's strong investment in AI for fraud detection, risk management, and compliance.

North America's leadership with advanced tech infrastructure and high AI adoption.

Strategic M&A and partnerships fueling innovation in AI cybersecurity offerings.
Expansion of 5G, Wi-Fi 6 technologies increasing vulnerabilities and reliance on AI defense.

Regional Insights:-

North America leads with approximately 38% market share, driven by advanced AI research, mature cybersecurity infrastructure, and presence of major tech firms.

Asia Pacific is the fastest-growing region, with highest CAGR, fueled by rapid digitalization, IoT adoption, government initiatives, and investments in 5G and autonomous infrastructure, especially in China, India, Japan, and South Korea.

Europe is the second-fastest growing region, with strong adoption due to strict regulations like the EU AI Act and investment in AI cybersecurity solutions.

Middle East & Africa shows substantial growth with rising cybersecurity threats and regulatory efforts prompting demand in GCC countries and South Africa.

Latin America is growing moderately, driven by infrastructure investments and gradual technology adoption in countries like Brazil, Mexico, and Argentina.

Key Trends and Technological Advancements

AI has surpassed ransomware as the top concern among security leaders due to its dual innovation and risk nature.

Rapid integration of AI/ML for real-time threat detection and incident response is expanding.

Generative AI emergence leads to increased security spending by more than 15%.

Multi-agent AI systems are increasingly used to assist security operations, predicted to cover 70% of AI apps by 2028.

Autonomous AI agents (agentic AI) started supporting independent threat detection and response, elevating SOC efficiency.

AI is heavily deployed to counter advanced cyber threats like phishing, malware, and deep fakes.

Cloud-based AI cybersecurity solutions drive scalability and adaptation to evolving attack surfaces.

Explainable AI improving trust and transparency in AI-driven security decisions.
AI-enhanced deception technologies enhance threat hunting and incident response.

Governments and enterprises increasing investment in AI to protect critical infrastructure.

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Key Players:

NVIDIA, Amazon Web Services, Inc., Cylance Inc. (BlackBerry), Darktrace, Microsoft Corporation, Fortinet, Inc., IBM Corporation, Intel Corporation, LexisNexis, and Micron Technology, Inc.

Key Highlights

- NVIDIA: Leading provider of AI-accelerated cybersecurity with up to 600x faster threat detection, powered by platforms like Morpheus and strong generative-AI infrastructure partnerships, including OpenAI.

- Amazon Web Services (AWS): Provides scalable cloud-based AI cybersecurity services integrated with its extensive cloud platform, focusing on threat detection, risk assessment, and compliance through AI models.

- Cylance Inc. (BlackBerry): Pioneer in AI-driven endpoint protection, utilizing machine learning to proactively predict and prevent cyber threats. Strong in autonomous threat prevention and cloud-native security products.

- Darktrace: Known for its AI-based cyber defense platform using machine learning for anomaly detection and autonomous response in enterprise environments. Emphasizes real-time threat hunting and self-learning AI.

- Microsoft Corporation: Offers comprehensive AI cybersecurity solutions integrated across Azure cloud services and enterprise software, leveraging machine learning and behavioral analytics for identity management, threat intelligence, and automated incident response.

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