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세계의 사이버 보안용 에이전트형 AI 시장 규모, 점유율, 업계 분석 리포트 : 컴포넌트별, 애플리케이션별, 배포별, 최종 용도별, 지역별 전망 및 예측(2025-2032년)

Global Agentic AI In Cybersecurity Market Size, Share & Industry Analysis Report By Component, By Application, By Deployment, By End Use, By Regional Outlook and Forecast, 2025 - 2032
발행일: | 리서치사: KBV Research | 페이지 정보: 영문 561 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

사이버 보안용 에이전트형 AI 시장 규모는 예측 기간 중 시장 성장 CAGR 34.0%로 증가하며, 2032년까지 2,277억 4,000만 달러에 달할 것으로 예상되고 있습니다.

주요 하이라이트:

  • 2024년 세계의 사이버 보안용 에이전트형 AI 시장에서 북미 시장이 우위를 점하고 있으며, 2024년 매출 점유율 37.00%를 차지했습니다.
  • 미국 시장은 2032년까지 596억 5,000만 달러 규모에 도달할 것으로 예상되며, 북미 시장에서의 리더십을 유지할 것으로 예측됩니다.
  • 다양한 구성 요소 중 솔루션 부문이 2024년 63.37%의 매출 점유율을 차지하며 세계 시장을 장악했습니다.
  • 용도 측면에서는 위협 감지 및 대응 부문이 세계 시장을 주도할 것으로 예상되며, 2032년까지 42.36%의 매출 점유율을 차지할 것으로 예측됩니다.
  • 클라우드 부문은 2024년 52.28%의 매출 점유율을 차지하며 주요 성장 동력으로 부상하며, 예측 기간 중에도 우위를 유지할 것으로 예측됩니다.
  • 최종 용도 IT 및 통신 시장은 2032년 522억 6,000만 달러 규모로 성장할 것으로 예상되며, 예측 기간 중 지배적인 위치를 유지할 것으로 예측됩니다.

사이버 보안의 에이전트형 AI 시장은 시스템이 기존의 규칙 기반 자동화에서 설정된 한계 내에서 사고, 계획, 행동할 수 있는 자율적인 에이전트로 전환하면서 빠르게 변화하고 있습니다. 에이전트 AI는 알림을 보내거나 문제 발견만 하는 기존 모델과는 다릅니다. 위협을 조사하고, 침해된 자산을 격리하고, 심지어 스스로 복구를 시작할 수도 있습니다. 이러한 변화는 사이버 공격이 점점 더 복잡해지고 숙련된 인재가 부족하기 때문입니다. 기업, 정부, 그리고 보안 벤더들은 운영, 사고 대응, 취약점 관리에 에이전트 기능을 추가하고 있습니다. 조직이 속도와 자유, 그리고 책임감, 투명성, 안전성의 균형을 모색하는 가운데, 기술은 규칙과 도덕과 함께 계속 진화하고 있습니다.

이 시장의 가장 중요한 동향은 보안 운영의 자율성 활용을 통한 경보 피로 감소 및 대응 시간 단축, 명확한 책임성을 확보하기 위한 강력한 거버넌스 시스템, 그리고 서로 다른 비즈니스 환경 간에 협력하는 멀티 에이전트 아키텍처의 부상 등을 들 수 있습니다. 주요 기업은 신중한 파일럿 배포, 제품 설계에 거버넌스 통합, 자율적인 위협 사냥 및 악성코드 분석과 같은 새로운 기능 개발 등의 전략을 채택하고 있습니다. 클라우드 프로바이더, 유명 사이버 보안 기업, 그리고 스타트업들이 각자의 우위를 점하기 위해 경쟁은 더욱 치열해지고 있습니다. 이 분야에서 성공의 열쇠는 기술의 진보가 아니라 자율 보안 에이전트를 안전하고 개방적이며 컴플라이언스를 준수하는 방식으로 배포하고 신뢰를 구축할 수 있느냐에 달려 있습니다.

KBV Cardinal matrix - 사이버 보안 분야에서의 에이전트형 AI 시장 경쟁 분석

KBV Cardinal matrix에 나타난 분석에 따르면 Microsoft Corporation, Google LLC, NVIDIA Corporation이 사이버 보안용 에이전트형 AI 시장의 선두주자입니다. 2025년 8월, 구글 LLC는 에이전트형 AI를 보호하기 위한 고급 AI 보안 기능을 발표했습니다. Security Command Center 업데이트에는 확장된 AI 에이전트 감지, 모델 아머(Model Armor)를 통한 안전 조치, 실시간 런타임 위협 보호, 강화된 거버넌스 제어 기능이 포함되어 취약점, 신속한 주입, 데이터 유출, 외부 사이버 위험에 대한 방어가 강화되었습니다. 에 대한 방어가 강화되어 있습니다. Salesforce, Inc., IBM Corporation, Palo Alto Networks, Inc. 등의 기업은 사이버 보안용 에이전트형 AI 시장의 주요 혁신 기업입니다.

COVID-19의 영향 분석

COVID-19 팬데믹으로 인해 기업은 클라우드 워크로드, 원격 근무자, 디지털 서비스를 사이버 공격 증가로부터 보호하기 위해 발 빠르게 움직이고 있으며, 사이버 보안에서 에이전트 AI의 활용이 가속화되고 있습니다. 인간 중심의 SOC 운영으로는 대응을 따라잡을 수 없었기 때문에 위협 발견, 경보 정리, 신속한 대응을 위해 자율 에이전트를 도입했습니다. 직원들이 분산되어 있으며, 엔드포인트와 ID에 대한 위험이 증가했습니다. 에이전트 AI는 행동을 모니터링하고, 비정상적인 행동을 보고하며, 상시 모니터링 없이 제로 트러스트 액세스를 실시하여 이러한 상황에 대응했습니다. 이 툴들은 의료, 물류, 정부 등 중요한 분야에서 기밀 데이터 보호와 업무 연속성을 위해 사용되어 왔으며, 고위험 상황에서도 효과적으로 작동하는 것으로 입증되었습니다. 이 위기는 장기적인 투자로 이어졌고, 벤더들은 SIEM, SOAR, XDR 플랫폼에 에이전트 AI를 추가했습니다. 이에 따라 자율형 사이버 보안은 체류 시간과 운영 비용을 절감할 수 있는 일반적인 방법이 되었습니다. 이처럼 COVID-19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

시장 점유율 분석

응용 전망

애플리케이션을 기반으로 시장은 위협 감지 및 대응, 취약점 관리, 기타 애플리케이션으로 분류됩니다. 취약점 관리 부문은 2024년 사이버 보안 분야 에이전트형 AI 시장에서 36%의 매출 점유율을 기록할 것으로 예측됩니다. 기업은 취약점이 악용되기 전에 취약점을 파악하기 위해 사전 위험 평가와 IT 자산의 지속적인 스캐닝에 점점 더 집중하고 있습니다. 에이전트형 AI는 심각도, 컨텍스트, 잠재적 비즈니스 영향에 따라 취약점의 우선순위를 정함으로써 이 프로세스를 강화하여 조직이 리소스를 보다 효과적으로 배분할 수 있도록 지원합니다.

전개 전망

도입 형태에 따라 시장은 클라우드와 On-Premise로 분류됩니다. On-Premise 부문은 2024년 사이버 보안 분야 에이전트형 AI 시장에서 48%의 매출 점유율을 차지했습니다.이는 엄격한 규제, 컴플라이언스, 데이터 주권 요구 사항을 가진 업계와 정부에 의해 크게 지원되고 있습니다. 국방, 은행, 중요 인프라 등의 분야에서는 기밀 데이터에 대한 직접적인 통제권을 유지하고 맞춤형 보안 프레임워크를 유지하기 위해 On-Premise 도입이 계속 선호되고 있습니다.

지역 전망

지역별로 사이버 보안 에이전트 AI 시장은 북미, 유럽, 아시아태평양 및 LAMEA에서 분석되고 있습니다. 북미 부문은 2024년 사이버 보안 분야 에이전트 AI 시장에서 37%의 매출 점유율을 기록할 것으로 예측됩니다. 북미와 유럽은 현재 사이버 보안 분야에서 에이전트형 AI 시장을 선도하는 지역입니다. 이는 첨단 디지털 인프라, 클라우드 기술을 이용하는 많은 사람들, 그리고 엄격한 규칙이 있기 때문입니다. 북미, 특히 미국과 캐나다의 기업은 증가하는 사이버 공격에 대응하기 위해 자율 보안 에이전트를 사용하는 최초의 기업 중 하나입니다. 그들은 민간 부문의 투자와 정부 지원 사이버 보안 프로그램으로부터 많은 지원을 받고 있습니다. 영국, 독일, 프랑스 등 유럽에서도 GDPR(EU 개인정보보호규정), NIS2 등 엄격한 데이터 보호 및 사이버 보안법을 준수하며 안전한 AI 도입을 최우선 과제로 삼고 있습니다. 두 지역 모두 거버넌스, 개방성, 컴플라이언스를 중시하므로 새로운 아이디어가 성장할 수 있는 최적의 장소인 동시에 사람들이 에이전트 AI 시스템 사용을 신뢰하고 책임감을 가질 수 있도록 하고 있습니다.

아시아태평양 및 LAMEA는 디지털 기술의 급속한 발전, 사이버 위협 증가, 정부의 사이버 보안에 대한 관심 증가로 인해 큰 잠재력을 가진 시장으로 부상하고 있습니다. 중국, 일본, 한국, 인도 등 아시아태평양 국가들은 AI 기반 보안 솔루션에 많은 투자를 하고 있습니다. 이는 클라우드 배포과 대규모 디지털 생태계의 확산으로 많은 사람들이 자율적인 위협 감지 및 대응을 요구하고 있기 때문입니다. 한편, LAMEA에서는 브라질, UAE, 사우디아라비아, 남아프리카공화국 등의 지역에서 기업이 중요한 자산을 보호하고 변화하는 규제에 대응하기 위해 사이버 보안 시스템을 업그레이드하면서 도입이 빠르게 진행되고 있습니다. 북미와 유럽에 비해 아직 초기 단계이지만, 기업이 에이전트 AI를 활용해 기술 격차를 해소하고 고도화되는 공격에 대한 저항력을 높이면서 큰 성장이 예상됩니다.

시장 경쟁과 특성

사이버 보안의 에이전트형 AI 시장에서의 경쟁은 세분화되어 있으며, 혁신 주도형입니다. 스타트업과 전문 벤더들은 틈새 자동화, 위협 사냥, 자율적 대응에 초점을 맞추고, 데이터 연계, 모델 견고성, 설명 가능성으로 차별화를 꾀하고 있습니다. 구매자는 성숙도 및 통합에 대한 다양한 문제에 직면하고 있으며, 기업이 신뢰성과 진정한 운영 효율성을 입증하기 위해 경쟁하면서 통합, 전략적 제휴 및 신속한 기능 차별화의 기회가 생겨나고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 시장 동향

제5장 경쟁 상황

제6장 사이버 보안용 에이전트형 AI 시장의 밸류체인 분석

제7장 제품수명주기 - 사이버 보안용 에이전트형 AI 시장

제8장 시장 통합 - 사이버 보안용 에이전트형 AI 시장

제9장 주요 고객 기준 - 사이버 보안용 에이전트형 AI 시장

제10장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석 2024
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter's Five Forces 분석

제11장 세계의 사이버 보안용 에이전트형 AI 시장 : 컴포넌트별

  • 글로벌 솔루션 시장 : 지역별
  • 글로벌 서비스 시장 : 지역별

제12장 세계의 사이버 보안용 에이전트형 AI 시장 : 애플리케이션별

  • 세계의 위협 탐지·대응 시장 : 지역별
  • 세계의 취약성 관리 시장 : 지역별
  • 세계의 기타 애플리케이션 시장 : 지역별

제13장 세계의 사이버 보안용 에이전트형 AI 시장 : 배포별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제14장 세계의 사이버 보안용 에이전트형 AI 시장 : 최종 용도별

  • 세계의 IT·통신 시장 : 지역별
  • 세계의 BFSI 시장 : 지역별
  • 세계의 정부·방위 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 소매·E-Commerce 시장 : 지역별
  • 세계의 기타 최종 용도 시장 : 지역별

제15장 세계의 사이버 보안용 에이전트형 AI 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 주요 요인
    • 북미의 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
  • 시장에 영향을 미치는 주요 요인
    • 유럽의 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
  • 시장에 영향을 미치는 주요 요인
    • 아시아태평양의 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
  • 시장에 영향을 미치는 주요 요인
    • 라틴아메리카·중동 및 아프리카의 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제16장 기업 개요

  • Crowdstrike Holdings, Inc
  • Palo Alto Networks, Inc
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc
  • NVIDIA Corporation
  • SentinelOne, Inc

제17장 사이버 보안용 에이전트형 AI 시장의 성공 필수 조건

KSA

The Global Agentic AI In Cybersecurity Market size is expected to reach USD 227.74 billion by 2032, rising at a market growth of 34.0% CAGR during the forecast period.

Key Highlights:

  • The North America market dominated Global Agentic AI In Cybersecurity Market in 2024, accounting for a 37.00% revenue share in 2024.
  • The U.S. market is projected to maintain its leadership in North America, reaching a market size of USD 59.65 billion by 2032.
  • Among the various Component, the Solution segment dominated the global market, contributing a revenue share of 63.37% in 2024.
  • In terms of Application, Threat Detection & Response segment are expected to lead the global market, with a projected revenue share of 42.36% by 2032.
  • The Cloud segment emerged as the leading Deployment in 2024, capturing a 52.28% revenue share, and is projected to retain its dominance during the forecast period.
  • The IT & Telecom Market in End Use is poised to grow at the market in 2032 with a market size of USD 52.26 billion and is projected to maintain its dominant position throughout the forecast period.

The agentic AI cybersecurity market is changing quickly as systems move from traditional rule-based automation to autonomous agents that can think, plan, and act within set limits. Agentic AI is different from older models that only sent alerts or found problems. It can now investigate threats, isolate compromised assets, and even start fixing them on its own. The change is happening because cyberattacks are getting more complicated and there aren't enough skilled workers. Companies, governments, and security vendors are all adding agentic functions to their operations, incident response, and vulnerability management. As organizations try to find a balance between speed and freedom and accountability, transparency, and safety, the technology is getting better along with the rules and morals.

Some of the most important trends in this market are the use of autonomy in security operations to cut down on alert fatigue and speed up response times, strong governance systems to make sure that things are clear and accountable, and the rise of multi-agent architectures that work together across different business environments. Top companies are using strategies like careful pilot deployments, building governance into product design, and coming up with new features like autonomous threat hunting and malware analysis. There is more competition now, with cloud providers, well-known cybersecurity companies, and new businesses all trying to be the best. In this area, success is becoming less about how advanced the technology is and more about how well you can build trust by deploying autonomous security agents in a safe, open, and compliant way.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In July, 2025, IBM Corporation unveiled industry-first governance tools for agentic AI security, enhancing compliance, lifecycle management, and risk mitigation. The offerings integrate Guardium AI Security with watsonx.governance, add compliance accelerators, and introduce consultancy services. Focused on governance, integration, and monitoring, IBM strengthens enterprise resilience while addressing rising concerns over agentic AI risks and security. Additionally, In August, 2025, CrowdStrike Holdings, Inc. unveiled Falcon Next-Gen Identity Security, a unified solution protecting human, non-human, and AI agent identities across hybrid environments. Built into the AI-native Falcon platform, it integrates access prevention, identity threat detection, privileged access management, and agentic AI-driven protection to block real-time identity attacks, lateral movement, and privilege escalation.

KBV Cardinal Matrix - Agentic AI In Cybersecurity Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation, Google LLC, and NVIDIA Corporation are the forerunners in the Agentic AI In Cybersecurity Market. In August, 2025, Google LLC unveiled advanced AI security capabilities to protect agentic AI. Updates to Security Command Center include expanded AI agent discovery, Model Armor safeguards, real-time runtime threat protection, and enhanced governance controls, strengthening defenses against vulnerabilities, prompt injection, data leakage, and external cyber risks. Companies such as Salesforce, Inc., IBM Corporation, Palo Alto Networks, Inc. are some of the key innovators in Agentic AI In Cybersecurity Market.

COVID 19 Impact Analysis

The COVID-19 pandemic sped up the use of agentic AI in cybersecurity as companies rushed to protect their cloud workloads, remote workers, and digital services from a rise in cyberattacks. Human-centered SOC operations couldn't keep up, so autonomous agents were put in place to find threats, sort alerts, and respond quickly. Distributed workforces raised the risks to endpoints and identities. Agentic AI helped by keeping an eye on behavior, reporting strange behavior, and enforcing zero-trust access without constant supervision. These tools were used by important sectors like healthcare, logistics, and government to protect sensitive data and keep things running, showing that they work well in high-stakes situations. The crisis also led to long-term investments, with vendors adding agentic AI to SIEM, SOAR, and XDR platforms. This made autonomous cybersecurity a common way to lower dwell time and operational costs. Thus, the COVD-19 pandemic had a positive impact on the market.

Market Share Analysis

Application Outlook

Based on Application, the market is segmented into Threat Detection & Response, Vulnerability Management, and Other Application. The vulnerability management segment recorded 36% revenue share in the Agentic AI In Cybersecurity Market in 2024. Enterprises are increasingly focusing on proactive risk assessment and continuous scanning of IT assets to identify weaknesses before exploitation. Agentic AI enhances this process by prioritizing vulnerabilities based on severity, context, and potential business impact, allowing organizations to allocate resources more effectively.

Deployment Outlook

Based on Deployment, the market is segmented into Cloud, and On-premises. The on-premises segment gained 48% revenue share in the Agentic AI In Cybersecurity Market in 2024. This is largely supported by industries and governments with strict regulatory, compliance, and data sovereignty requirements. Sectors such as defense, banking, and critical infrastructure continue to prefer on-premises deployment to retain direct control over sensitive data and maintain customized security frameworks.

Regional Outlook

Region-wise, the agentic AI In cybersecurity market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 37% revenue share in the agentic AI In cybersecurity market in 2024. North America and Europe are currently the top regions in the agentic AI cybersecurity market. This is because they have advanced digital infrastructure, a lot of people using cloud technologies, and strict rules. Businesses in North America, especially in the US and Canada, are some of the first to use autonomous security agents to fight rising cyberattacks. They get a lot of help from both private sector investments and government-backed cybersecurity programs. Europe is also advanced, with countries like the UK, Germany, and France making safe AI adoption a top priority by following strict data protection and cybersecurity laws like GDPR and NIS2. Both areas stress governance, openness, and compliance, which makes them great places for new ideas to grow while also making sure that people can trust and be held accountable for using agentic AI systems.

Asia-Pacific and LAMEA are becoming high-potential markets because of the rapid growth of digital technology, the rise of cyberthreats, and the government's growing focus on cybersecurity. Countries like China, Japan, South Korea, and India are putting a lot of money into AI-based security solutions in the Asia-Pacific region. This is because cloud adoption and big digital ecosystems are making a lot of people want autonomous threat detection and response. In LAMEA, on the other hand, places like Brazil, the UAE, Saudi Arabia, and South Africa are seeing faster adoption as companies upgrade their cybersecurity systems to protect important assets and keep up with changing rules. Both regions are still in the early stages compared to North America and Europe, but they are expected to see a lot of growth as businesses use agentic AI to fill skill gaps and make themselves more resistant to attacks that are getting more sophisticated.

Market Competition and Attributes

Competition in the agentic-AI cybersecurity market is fragmented and innovation-driven. Startups and specialist vendors focus on niche automation, threat-hunting, and autonomous response, differentiating via data partnerships, model robustness, and explainability. Buyers face varied maturity and integration challenges, creating opportunity for consolidation, strategic alliances, and rapid feature differentiation as firms race to prove reliability and true operational efficacy.

Recent Strategies Deployed in the Market

  • Aug-2025: Palo Alto Networks, Inc. acquired CyberArk, aiming to strengthen cybersecurity in the era of agentic AI. The deal focuses on securing both human and non-human identities while enhancing identity protection, privileged access management, and defense against evolving AI-driven threats across enterprise environments globally.
  • Aug-2025: SentinelOne, Inc. acquired Prompt Security, a software company to enhance GenAI and agentic AI security. The move integrates real-time AI visibility, automated threat prevention, and policy-based controls across enterprise AI tools. This strengthens SentinelOne's Singularity Platform, enabling safe, scalable adoption of AI agents while protecting against data leakage, prompt injection, and misuse.
  • Jul-2025: Palo Alto Networks, Inc. teamed up with Okta, a cloud-based identity and access management (IAM) platform to deliver unified AI-driven security. By integrating Okta Workforce Identity, Identity Threat Protection with Okta AI, and Palo Alto's Cortex platform, the collaboration enhances conditional access, automates threat responses, secures app access on any device, and provides unified protection against advanced identity-related cyberattacks.
  • Jul-2025: Microsoft Corporation teamed up with Accenture, an IT company to build generative AI cybersecurity tools, merging Accenture's expertise with Microsoft's security technologies. The collaboration targets SOC modernization, AI-driven data protection, security-centric migration, and identity management. Early success with Nationwide Building Society highlights improved threat detection, reduced costs, and enhanced resilience, showcasing future-ready cybersecurity innovation.
  • Jul-2025: Darktrace Holdings Limited acquired Mira Security, a U.S.-based startup specializing in encrypted network traffic visibility. The deal enhances Darktrace's AI-driven cybersecurity platform by integrating Mira's in-line decryption and traffic inspection capabilities, strengthening protection across on-premises, cloud, and hybrid environments while advancing next-generation networking innovations through Mira's technical expertise and standards-body experience.

List of Key Companies Profiled

  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.

Global Agentic AI In Cybersecurity Market Report Segmentation

By Component

  • Solution
  • Services

By Application

  • Threat Detection & Response
  • Vulnerability Management
  • Other Application

By Deployment

  • Cloud
  • On-premises

By End Use

  • IT & Telecom
  • BFSI
  • Government & Defense
  • Healthcare
  • Retail & E-commerce
  • Other End Use

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Agentic AI In Cybersecurity Market, by Component
    • 1.4.2 Global Agentic AI In Cybersecurity Market, by Application
    • 1.4.3 Global Agentic AI In Cybersecurity Market, by Deployment
    • 1.4.4 Global Agentic AI In Cybersecurity Market, by End Use
    • 1.4.5 Global Agentic AI In Cybersecurity Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - Global Agentic AI In Cybersecurity Market

Chapter 5. State of Competition - Global Agentic AI In Cybersecurity Market

Chapter 6. Value Chain Analysis of Agentic AI In Cybersecurity Market

Chapter 7. Product Life Cycle - Agentic AI In Cybersecurity Market

Chapter 8. Market Consolidation - Agentic AI in Cybersecurity Market

Chapter 9. Key Customer Criteria - Agentic AI In Cybersecurity Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
    • 10.2.3 Acquisition and Mergers
  • 10.3 Market Share Analysis, 2024
  • 10.4 Top Winning Strategies
    • 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 10.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2024, Oct - 2025, Aug) Leading Players
  • 10.5 Porter Five Forces Analysis

Chapter 11. Global Agentic AI In Cybersecurity Market by Component

  • 11.1 Global Solution Market by Region
  • 11.2 Global Services Market by Region

Chapter 12. Global Agentic AI In Cybersecurity Market by Application

  • 12.1 Global Threat Detection & Response Market by Region
  • 12.2 Global Vulnerability Management Market by Region
  • 12.3 Global Other Application Market by Region

Chapter 13. Global Agentic AI In Cybersecurity Market by Deployment

  • 13.1 Global Cloud Market by Region
  • 13.2 Global On-premises Market by Region

Chapter 14. Global Agentic AI In Cybersecurity Market by End Use

  • 14.1 Global IT & Telecom Market by Region
  • 14.2 Global BFSI Market by Region
  • 14.3 Global Government & Defense Market by Region
  • 14.4 Global Healthcare Market by Region
  • 14.5 Global Retail & E-commerce Market by Region
  • 14.6 Global Other End Use Market by Region

Chapter 15. Global Agentic AI In Cybersecurity Market by Region

  • 15.1 North America Agentic AI In Cybersecurity Market
  • 15.2 Key Factors Impacting the Market
    • 15.2.1 Market Drivers
    • 15.2.2 Market Restraints
    • 15.2.3 Market Opportunities
    • 15.2.4 Market Challenges
    • 15.2.5 Market Trends - North America Agentic AI In Cybersecurity Market
    • 15.2.6 State of Competition - North America Agentic AI In Cybersecurity Market
    • 15.2.7 North America Agentic AI In Cybersecurity Market by Component
      • 15.2.7.1 North America Solution Market by Country
      • 15.2.7.2 North America Services Market by Country
    • 15.2.8 North America Agentic AI In Cybersecurity Market by Application
      • 15.2.8.1 North America Threat Detection & Response Market by Country
      • 15.2.8.2 North America Vulnerability Management Market by Country
      • 15.2.8.3 North America Other Application Market by Country
    • 15.2.9 North America Agentic AI In Cybersecurity Market by Deployment
      • 15.2.9.1 North America Cloud Market by Country
      • 15.2.9.2 North America On-premises Market by Country
    • 15.2.10 North America Agentic AI In Cybersecurity Market by End Use
      • 15.2.10.1 North America IT & Telecom Market by Country
      • 15.2.10.2 North America BFSI Market by Country
      • 15.2.10.3 North America Government & Defense Market by Country
      • 15.2.10.4 North America Healthcare Market by Country
      • 15.2.10.5 North America Retail & E-commerce Market by Country
      • 15.2.10.6 North America Other End Use Market by Country
    • 15.2.11 North America Agentic AI In Cybersecurity Market by Country
      • 15.2.11.1 US Agentic AI In Cybersecurity Market
        • 15.2.11.1.1 US Agentic AI In Cybersecurity Market by Component
        • 15.2.11.1.2 US Agentic AI In Cybersecurity Market by Application
        • 15.2.11.1.3 US Agentic AI In Cybersecurity Market by Deployment
        • 15.2.11.1.4 US Agentic AI In Cybersecurity Market by End Use
      • 15.2.11.2 Canada Agentic AI In Cybersecurity Market
        • 15.2.11.2.1 Canada Agentic AI In Cybersecurity Market by Component
        • 15.2.11.2.2 Canada Agentic AI In Cybersecurity Market by Application
        • 15.2.11.2.3 Canada Agentic AI In Cybersecurity Market by Deployment
        • 15.2.11.2.4 Canada Agentic AI In Cybersecurity Market by End Use
      • 15.2.11.3 Mexico Agentic AI In Cybersecurity Market
        • 15.2.11.3.1 Mexico Agentic AI In Cybersecurity Market by Component
        • 15.2.11.3.2 Mexico Agentic AI In Cybersecurity Market by Application
        • 15.2.11.3.3 Mexico Agentic AI In Cybersecurity Market by Deployment
        • 15.2.11.3.4 Mexico Agentic AI In Cybersecurity Market by End Use
      • 15.2.11.4 Rest of North America Agentic AI In Cybersecurity Market
        • 15.2.11.4.1 Rest of North America Agentic AI In Cybersecurity Market by Component
        • 15.2.11.4.2 Rest of North America Agentic AI In Cybersecurity Market by Application
        • 15.2.11.4.3 Rest of North America Agentic AI In Cybersecurity Market by Deployment
        • 15.2.11.4.4 Rest of North America Agentic AI In Cybersecurity Market by End Use
  • 15.3 Europe Agentic AI In Cybersecurity Market
  • 15.4 Key Factors Impacting the Market
    • 15.4.1 Market Drivers
    • 15.4.2 Market Restraints
    • 15.4.3 Market Opportunities
    • 15.4.4 Market Challenges
    • 15.4.5 Market Trends - Europe Agentic AI In Cybersecurity Market
    • 15.4.6 State of Competition - Europe Agentic AI In Cybersecurity Market
    • 15.4.7 Europe Agentic AI In Cybersecurity Market by Component
      • 15.4.7.1 Europe Solution Market by Country
      • 15.4.7.2 Europe Services Market by Country
    • 15.4.8 Europe Agentic AI In Cybersecurity Market by Application
      • 15.4.8.1 Europe Threat Detection & Response Market by Country
      • 15.4.8.2 Europe Vulnerability Management Market by Country
      • 15.4.8.3 Europe Other Application Market by Country
    • 15.4.9 Europe Agentic AI In Cybersecurity Market by Deployment
      • 15.4.9.1 Europe Cloud Market by Country
      • 15.4.9.2 Europe On-premises Market by Country
    • 15.4.10 Europe Agentic AI In Cybersecurity Market by End Use
      • 15.4.10.1 Europe IT & Telecom Market by Country
      • 15.4.10.2 Europe BFSI Market by Country
      • 15.4.10.3 Europe Government & Defense Market by Country
      • 15.4.10.4 Europe Healthcare Market by Country
      • 15.4.10.5 Europe Retail & E-commerce Market by Country
      • 15.4.10.6 Europe Other End Use Market by Country
    • 15.4.11 Europe Agentic AI In Cybersecurity Market by Country
      • 15.4.11.1 Germany Agentic AI In Cybersecurity Market
        • 15.4.11.1.1 Germany Agentic AI In Cybersecurity Market by Component
        • 15.4.11.1.2 Germany Agentic AI In Cybersecurity Market by Application
        • 15.4.11.1.3 Germany Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.1.4 Germany Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.2 UK Agentic AI In Cybersecurity Market
        • 15.4.11.2.1 UK Agentic AI In Cybersecurity Market by Component
        • 15.4.11.2.2 UK Agentic AI In Cybersecurity Market by Application
        • 15.4.11.2.3 UK Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.2.4 UK Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.3 France Agentic AI In Cybersecurity Market
        • 15.4.11.3.1 France Agentic AI In Cybersecurity Market by Component
        • 15.4.11.3.2 France Agentic AI In Cybersecurity Market by Application
        • 15.4.11.3.3 France Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.3.4 France Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.4 Russia Agentic AI In Cybersecurity Market
        • 15.4.11.4.1 Russia Agentic AI In Cybersecurity Market by Component
        • 15.4.11.4.2 Russia Agentic AI In Cybersecurity Market by Application
        • 15.4.11.4.3 Russia Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.4.4 Russia Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.5 Spain Agentic AI In Cybersecurity Market
        • 15.4.11.5.1 Spain Agentic AI In Cybersecurity Market by Component
        • 15.4.11.5.2 Spain Agentic AI In Cybersecurity Market by Application
        • 15.4.11.5.3 Spain Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.5.4 Spain Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.6 Italy Agentic AI In Cybersecurity Market
        • 15.4.11.6.1 Italy Agentic AI In Cybersecurity Market by Component
        • 15.4.11.6.2 Italy Agentic AI In Cybersecurity Market by Application
        • 15.4.11.6.3 Italy Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.6.4 Italy Agentic AI In Cybersecurity Market by End Use
      • 15.4.11.7 Rest of Europe Agentic AI In Cybersecurity Market
        • 15.4.11.7.1 Rest of Europe Agentic AI In Cybersecurity Market by Component
        • 15.4.11.7.2 Rest of Europe Agentic AI In Cybersecurity Market by Application
        • 15.4.11.7.3 Rest of Europe Agentic AI In Cybersecurity Market by Deployment
        • 15.4.11.7.4 Rest of Europe Agentic AI In Cybersecurity Market by End Use
  • 15.5 Asia Pacific Agentic AI In Cybersecurity Market
  • 15.6 Key Factors Impacting the Market
    • 15.6.1 Market Drivers
    • 15.6.2 Market Restraints
    • 15.6.3 Market Opportunities
    • 15.6.4 Market Challenges
    • 15.6.5 Market Trends - Asia Pacific Agentic AI In Cybersecurity Market
    • 15.6.6 State of Competition - Asia Pacific Agentic AI In Cybersecurity Market
    • 15.6.7 Asia Pacific Agentic AI In Cybersecurity Market by Component
      • 15.6.7.1 Asia Pacific Solution Market by Country
      • 15.6.7.2 Asia Pacific Services Market by Country
    • 15.6.8 Asia Pacific Agentic AI In Cybersecurity Market by Application
      • 15.6.8.1 Asia Pacific Threat Detection & Response Market by Country
      • 15.6.8.2 Asia Pacific Vulnerability Management Market by Country
      • 15.6.8.3 Asia Pacific Other Application Market by Country
    • 15.6.9 Asia Pacific Agentic AI In Cybersecurity Market by Deployment
      • 15.6.9.1 Asia Pacific Cloud Market by Country
      • 15.6.9.2 Asia Pacific On-premises Market by Country
    • 15.6.10 Asia Pacific Agentic AI In Cybersecurity Market by End Use
      • 15.6.10.1 Asia Pacific IT & Telecom Market by Country
      • 15.6.10.2 Asia Pacific BFSI Market by Country
      • 15.6.10.3 Asia Pacific Government & Defense Market by Country
      • 15.6.10.4 Asia Pacific Healthcare Market by Country
      • 15.6.10.5 Asia Pacific Retail & E-commerce Market by Country
      • 15.6.10.6 Asia Pacific Other End Use Market by Country
    • 15.6.11 Asia Pacific Agentic AI In Cybersecurity Market by Country
      • 15.6.11.1 China Agentic AI In Cybersecurity Market
        • 15.6.11.1.1 China Agentic AI In Cybersecurity Market by Component
        • 15.6.11.1.2 China Agentic AI In Cybersecurity Market by Application
        • 15.6.11.1.3 China Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.1.4 China Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.2 Japan Agentic AI In Cybersecurity Market
        • 15.6.11.2.1 Japan Agentic AI In Cybersecurity Market by Component
        • 15.6.11.2.2 Japan Agentic AI In Cybersecurity Market by Application
        • 15.6.11.2.3 Japan Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.2.4 Japan Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.3 India Agentic AI In Cybersecurity Market
        • 15.6.11.3.1 India Agentic AI In Cybersecurity Market by Component
        • 15.6.11.3.2 India Agentic AI In Cybersecurity Market by Application
        • 15.6.11.3.3 India Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.3.4 India Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.4 South Korea Agentic AI In Cybersecurity Market
        • 15.6.11.4.1 South Korea Agentic AI In Cybersecurity Market by Component
        • 15.6.11.4.2 South Korea Agentic AI In Cybersecurity Market by Application
        • 15.6.11.4.3 South Korea Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.4.4 South Korea Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.5 Singapore Agentic AI In Cybersecurity Market
        • 15.6.11.5.1 Singapore Agentic AI In Cybersecurity Market by Component
        • 15.6.11.5.2 Singapore Agentic AI In Cybersecurity Market by Application
        • 15.6.11.5.3 Singapore Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.5.4 Singapore Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.6 Malaysia Agentic AI In Cybersecurity Market
        • 15.6.11.6.1 Malaysia Agentic AI In Cybersecurity Market by Component
        • 15.6.11.6.2 Malaysia Agentic AI In Cybersecurity Market by Application
        • 15.6.11.6.3 Malaysia Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.6.4 Malaysia Agentic AI In Cybersecurity Market by End Use
      • 15.6.11.7 Rest of Asia Pacific Agentic AI In Cybersecurity Market
        • 15.6.11.7.1 Rest of Asia Pacific Agentic AI In Cybersecurity Market by Component
        • 15.6.11.7.2 Rest of Asia Pacific Agentic AI In Cybersecurity Market by Application
        • 15.6.11.7.3 Rest of Asia Pacific Agentic AI In Cybersecurity Market by Deployment
        • 15.6.11.7.4 Rest of Asia Pacific Agentic AI In Cybersecurity Market by End Use
  • 15.7 LAMEA Agentic AI In Cybersecurity Market
  • 15.8 Key Factors Impacting the Market
    • 15.8.1 Market Drivers
    • 15.8.2 Market Restraints
    • 15.8.3 Market Opportunities
    • 15.8.4 Market Challenges
    • 15.8.5 Market Trends - LAMEA Agentic AI In Cybersecurity Market
    • 15.8.6 State of Competition - LAMEA Agentic AI In Cybersecurity Market
    • 15.8.7 LAMEA Agentic AI In Cybersecurity Market by Component
      • 15.8.7.1 LAMEA Solution Market by Country
      • 15.8.7.2 LAMEA Services Market by Country
    • 15.8.8 LAMEA Agentic AI In Cybersecurity Market by Application
      • 15.8.8.1 LAMEA Threat Detection & Response Market by Country
      • 15.8.8.2 LAMEA Vulnerability Management Market by Country
      • 15.8.8.3 LAMEA Other Application Market by Country
    • 15.8.9 LAMEA Agentic AI In Cybersecurity Market by Deployment
      • 15.8.9.1 LAMEA Cloud Market by Country
      • 15.8.9.2 LAMEA On-premises Market by Country
    • 15.8.10 LAMEA Agentic AI In Cybersecurity Market by End Use
      • 15.8.10.1 LAMEA IT & Telecom Market by Country
      • 15.8.10.2 LAMEA BFSI Market by Country
      • 15.8.10.3 LAMEA Government & Defense Market by Country
      • 15.8.10.4 LAMEA Healthcare Market by Country
      • 15.8.10.5 LAMEA Retail & E-commerce Market by Country
      • 15.8.10.6 LAMEA Other End Use Market by Country
    • 15.8.11 LAMEA Agentic AI In Cybersecurity Market by Country
      • 15.8.11.1 Brazil Agentic AI In Cybersecurity Market
        • 15.8.11.1.1 Brazil Agentic AI In Cybersecurity Market by Component
        • 15.8.11.1.2 Brazil Agentic AI In Cybersecurity Market by Application
        • 15.8.11.1.3 Brazil Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.1.4 Brazil Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.2 Argentina Agentic AI In Cybersecurity Market
        • 15.8.11.2.1 Argentina Agentic AI In Cybersecurity Market by Component
        • 15.8.11.2.2 Argentina Agentic AI In Cybersecurity Market by Application
        • 15.8.11.2.3 Argentina Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.2.4 Argentina Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.3 UAE Agentic AI In Cybersecurity Market
        • 15.8.11.3.1 UAE Agentic AI In Cybersecurity Market by Component
        • 15.8.11.3.2 UAE Agentic AI In Cybersecurity Market by Application
        • 15.8.11.3.3 UAE Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.3.4 UAE Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.4 Saudi Arabia Agentic AI In Cybersecurity Market
        • 15.8.11.4.1 Saudi Arabia Agentic AI In Cybersecurity Market by Component
        • 15.8.11.4.2 Saudi Arabia Agentic AI In Cybersecurity Market by Application
        • 15.8.11.4.3 Saudi Arabia Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.4.4 Saudi Arabia Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.5 South Africa Agentic AI In Cybersecurity Market
        • 15.8.11.5.1 South Africa Agentic AI In Cybersecurity Market by Component
        • 15.8.11.5.2 South Africa Agentic AI In Cybersecurity Market by Application
        • 15.8.11.5.3 South Africa Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.5.4 South Africa Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.6 Nigeria Agentic AI In Cybersecurity Market
        • 15.8.11.6.1 Nigeria Agentic AI In Cybersecurity Market by Component
        • 15.8.11.6.2 Nigeria Agentic AI In Cybersecurity Market by Application
        • 15.8.11.6.3 Nigeria Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.6.4 Nigeria Agentic AI In Cybersecurity Market by End Use
      • 15.8.11.7 Rest of LAMEA Agentic AI In Cybersecurity Market
        • 15.8.11.7.1 Rest of LAMEA Agentic AI In Cybersecurity Market by Component
        • 15.8.11.7.2 Rest of LAMEA Agentic AI In Cybersecurity Market by Application
        • 15.8.11.7.3 Rest of LAMEA Agentic AI In Cybersecurity Market by Deployment
        • 15.8.11.7.4 Rest of LAMEA Agentic AI In Cybersecurity Market by End Use

Chapter 16. Company Profiles

  • 16.1 Crowdstrike Holdings, Inc.
    • 16.1.1 Company Overview
    • 16.1.2 Financial Analysis
    • 16.1.3 Regional Analysis
    • 16.1.4 Research & Development Expenses
    • 16.1.5 Recent strategies and developments:
      • 16.1.5.1 Partnerships, Collaborations, and Agreements:
      • 16.1.5.2 Product Launches and Product Expansions:
    • 16.1.6 SWOT Analysis
  • 16.2 Palo Alto Networks, Inc.
    • 16.2.1 Company Overview
    • 16.2.2 Financial Analysis
    • 16.2.3 Regional Analysis
    • 16.2.4 Research & Development Expense
    • 16.2.5 Recent strategies and developments:
      • 16.2.5.1 Partnerships, Collaborations, and Agreements:
      • 16.2.5.2 Acquisition and Mergers:
    • 16.2.6 SWOT Analysis
  • 16.3 Microsoft Corporation
    • 16.3.1 Company Overview
    • 16.3.2 Financial Analysis
    • 16.3.3 Segmental and Regional Analysis
    • 16.3.4 Research & Development Expenses
    • 16.3.5 Recent strategies and developments:
      • 16.3.5.1 Partnerships, Collaborations, and Agreements:
    • 16.3.6 SWOT Analysis
  • 16.4 IBM Corporation
    • 16.4.1 Company Overview
    • 16.4.2 Financial Analysis
    • 16.4.3 Regional & Segmental Analysis
    • 16.4.4 Research & Development Expenses
    • 16.4.5 Recent strategies and developments:
      • 16.4.5.1 Product Launches and Product Expansions:
    • 16.4.6 SWOT Analysis
  • 16.5 Darktrace Holdings Limited
    • 16.5.1 Company Overview
    • 16.5.2 Recent strategies and developments:
      • 16.5.2.1 Product Launches and Product Expansions:
      • 16.5.2.2 Acquisition and Mergers:
  • 16.6 Google LLC
    • 16.6.1 Company Overview
    • 16.6.2 Financial Analysis
    • 16.6.3 Segmental and Regional Analysis
    • 16.6.4 Research & Development Expenses
    • 16.6.5 Recent strategies and developments:
      • 16.6.5.1 Product Launches and Product Expansions:
    • 16.6.6 SWOT Analysis
  • 16.7 Anthropic PBC
    • 16.7.1 Company Overview
  • 16.8 Salesforce, Inc.
    • 16.8.1 Company Overview
    • 16.8.2 Financial Analysis
    • 16.8.3 Regional Analysis
    • 16.8.4 Research & Development Expenses
    • 16.8.5 SWOT Analysis
  • 16.9 NVIDIA Corporation
    • 16.9.1 Company Overview
    • 16.9.2 Financial Analysis
    • 16.9.3 Segmental and Regional Analysis
    • 16.9.4 Research & Development Expenses
    • 16.9.5 Recent strategies and developments:
      • 16.9.5.1 Product Launches and Product Expansions:
    • 16.9.6 SWOT Analysis
  • 16.10. SentinelOne, Inc.
    • 16.10.1 Company Overview
    • 16.10.2 Recent strategies and developments:
      • 16.10.2.1 Partnerships, Collaborations, and Agreements:
      • 16.10.2.2 Product Launches and Product Expansions:
      • 16.10.2.3 Acquisition and Mergers:
    • 16.10.3 SWOT Analysis

Chapter 17. Winning Imperatives of Agentic AI In Cybersecurity Market

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