Name: 글로벌 시장 동향
SKU: ICT7003
Availability: InStock

보고서 요약(국문)

개요
글로벌 인공지능(AI) 보안 시장은 2022년 210억 달러 규모에 달했으며, 2023년부터 2030년까지 연평균 19.1%의 성장률을 기록하며 2030년에는 542억 달러에 이를 것으로 예상됩니다.
사이버 위협의 증가와 복잡성 심화, 그리고 물리적 보안 문제에 대한 우려가 커지면서 기업들은 더욱 발전되고 자동화된 보안 솔루션을 모색하고 있습니다. 디지털 시대에 생성되는 방대한 양의 데이터는 인간 분석가가 효과적으로 처리하기에는 역부족입니다. AI를 활용한 실시간 데이터 분석은 취약점과 위험 요소를 찾아내는 데 도움이 될 수 있습니다.
예를 들어, 선도적인 사이버 보안 기업인 McAfee는 2023년 9월 21일, 실시간으로 사기를 식별하고 차단하도록 설계된 혁신적인 AI 기반 사기 방지 기능을 공개했습니다. 사이버 위협이 계속해서 진화하고 더욱 정교해짐에 따라, 이러한 기술은 온라인 보안에 있어 중요한 진전을 의미합니다. AI 기반 사기 방지 시스템은 머신 러닝 알고리즘과 실시간 데이터 분석을 활용하여 사기 행위를 탐지합니다.
아시아 태평양 지역은 전 세계 인공지능(AI) 보안 시장의 7분의 3 이상을 차지하는 성장 지역 중 하나이며, 최근 몇 년 동안 사이버 위협과 공격이 급증했습니다. 디지털 기술과 인터넷에 대한 의존도가 높아짐에 따라 이 지역의 기업과 정부는 끊임없는 사이버 보안 문제에 직면하고 있습니다. AI는 고급 위협 탐지 및 대응 기능을 제공하여 이러한 위협에 대응하는 데 중요한 도구가 됩니다.
시장 동향
정부 주도 정책이 시장 성장을 촉진
정부 기관은 보안 분야의 AI 연구 개발을 지원하기 위해 상당한 자금을 할당하는 경우가 많으며, 이러한 투자는 AI 기술, 사이버 보안 솔루션 및 관련 프로젝트 개발에 자금을 지원할 수 있습니다. 재정 지원은 혁신을 장려하고 보안 분야에서 AI 도입을 가속화합니다. 정부는 보안 분야에서 AI 도입을 위한 규제 프레임워크와 표준을 수립하며, 이러한 규정은 책임 있는 AI 사용, 데이터 개인 정보 보호 및 윤리적 관행을 보장할 수 있습니다.

카네기 국제평화재단의 보고서에 따르면, 2022년 중국 정부는 인공지능(AI) 거버넌스에 대해 서로 다른 세 가지 접근 방식을 시행했으며, 각 접근 방식은 관료 조직의 각기 다른 부서에서 주도했습니다. 강력한 규제 기관인 중국 사이버공간관리국(CAAC)은 특정 AI 애플리케이션에 대한 규칙 기반 거버넌스에 중점을 두고 있습니다. CAAC는 알고리즘 해석 가능성과 사용자 권리 보호 조항을 포함하여 인터넷 추천 알고리즘 규제에 대한 규칙 초안을 발표했습니다. CAAC는 여러 규제 기관이 참여하는 모든 인터넷 알고리즘 관리 로드맵을 3년 단위로 수립하고 있습니다.
AI에 머신러닝을 적용하면 위협과 악성코드에 대응할 수 있습니다.
사이버 위협과 악성코드 공격은 점점 더 정교해지고 적응력이 높아지고 있습니다. 기존의 시그니처 기반 접근 방식으로는 이러한 고도화된 위협을 탐지하고 예방하기에 더 이상 충분하지 않습니다. 머신러닝과 AI는 패턴과 행동을 분석하여 새로운 위협을 식별할 수 있습니다. 정상적인 행동과 악의적인 행동을 구분하는 모델을 훈련시키려면 대규모 데이터 세트가 필수적입니다.

미국 상원 군사위원회 보고서에 따르면, 상원 군사위원회 산하 사이버 소위원회는 2022년 5월 사이버 공간에서 인공지능(AI)과 머신러닝(ML)을 활용하는 것의 중요성에 초점을 맞춘 의회 청문회를 개최했습니다. 이 청문회에는 구글과 조지타운 대학교 안보 및 신기술 센터의 주요 관계자들이 참석했습니다.
기술 발전이 시장 성장을 촉진
악성 소프트웨어, 랜섬웨어, 피싱 공격과 같은 사이버 위협의 복잡성이 증가함에 따라 AI 기반 보안 솔루션에 대한 수요가 크게 증가했습니다. AI는 실시간으로 방대한 양의 데이터를 정확하고 신속하게 분석하여 보안 침해를 나타내는 패턴과 이상 징후를 식별하는 데 필수적입니다. 또한 네트워크 트래픽 모니터링 및 의심스러운 활동 표시와 같은 많은 보안 작업을 자동화합니다.

예를 들어, 2022년 9월 20일 NVIDIA는 제조, 물류, 의료와 같은 산업 분야의 보안 및 안전을 강화하도록 설계된 고정밀 엣지 AI용 NVIDIA IGX 플랫폼을 발표했습니다. 이 플랫폼은 프로그래밍 및 구성이 가능하여 다양한 산업 분야의 요구에 맞는 적응형 솔루션을 제공합니다. 물리적 환경에서 인간과 기계의 협업 및 안전성을 향상시키는 것을 목표로 합니다. IGX는 제조 및 물류와 같이 엄격한 규제가 적용되는 산업에서 작동하는 자율 시스템의 안전과 보안을 개선하는 데 중점을 둡니다.
잘못된 식별 및 데이터 유출
AI 기반 보안 시스템은 오탐(false positive) 및 미탐(false negative, 실제 위협을 감지하지 못함)이라고 하는 잘못된 위협 식별 활동을 생성합니다. 정확한 위협 감지와 오경보 최소화 사이의 적절한 균형을 유지하는 것은 어려울 수 있습니다. 사이버 범죄자는 적대적 공격을 사용하여 AI 알고리즘을 조작할 수 있습니다. 탐지를 회피하거나 AI 시스템을 오도하도록 설계된 악의적인 입력을 만들어 신뢰도를 떨어뜨릴 수 있습니다.

IBM의 2023년 보고서에 따르면 전 세계 데이터 유출 사고의 평균 비용은 445만 달러로 사상 최고치를 기록했으며, 이는 이전 3년 대비 15% 증가한 수치입니다. 같은 3년 동안 탐지 및 대응 비용은 42%나 급증하여 현재 전체 유출 사고 비용의 대부분을 차지하고 있으며, 이는 더욱 심층적인 유출 조사로의 전환을 시사합니다.
세그먼트 분석
글로벌 인공지능(AI) 보안 시장은 제품/서비스, 배포 유형, 보안 유형, 기술, 애플리케이션, 최종 사용자 및 지역별로 세분화됩니다.
클라우드 환경에서의 AI 기반 보안 솔루션
사이버 위협이 더욱 복잡해지고 확산됨에 따라 고급 보안 솔루션의 중요성이 점점 커지고 있습니다. AI는 방대한 양의 데이터를 즉시 분석하여 실시간 위험 탐지 및 대응을 가능하게 합니다. 클라우드 환경의 규모와 복잡성은 잠재적 위협이 침투할 수 있는 많은 기회를 제공합니다. AI는 클라우드 컴퓨팅의 규모를 처리하고 네트워크 트래픽, 사용자 행동 및 시스템 로그를 지속적으로 모니터링하고 분석할 수 있습니다.

예를 들어, 2023년 8월 29일 구글 클라우드는 사이버 보안 회사인 맨디언트(Mandiant) 인수를 활용하여 크로니클 보안 운영(Chronicle Security Operations) 고객에게 관리형 위협 탐지 서비스를 제공하기 시작했습니다. '맨디언트 헌트 포 크로니클 보안 운영(Mandiant Hunt for Chronicle Security Operations)'이라는 이름의 이 서비스는 고객의 크로니클 환경 내에서 맨디언트의 위협 탐지 인텔리전스와 전문 인력에 대한 접근을 제공합니다.
지리적 시장 침투
사이버 위협 증가로 시장 성장 촉진
북미는 전 세계 인공지능(AI) 보안 시장의 3분의 1 이상을 차지하며 시장을 주도하고 있습니다. 특히 미국과 캐나다는 점점 더 증가하고 진화하는 사이버 위협 환경에 직면하고 있습니다. 사이버 공격, 데이터 유출, 랜섬웨어 공격의 빈도와 정교함이 증가하고 있습니다. 이러한 위험을 효율적으로 식별, 감소 및 대응하는 데 있어 AI는 중요한 도구로 여겨지고 있습니다.
예를 들어, 2023년 4월 24일 노스다코타주는 인공지능과 머신러닝을 활용하여 사이버 보안을 강화했습니다. 해당 주는 사이버 보안 업체인 팔로알토 네트웍스와 협력하여 학교, 관공서, 경찰서 등 25만 개의 엔드포인트를 보호하는 자율 보안 운영 센터(SOC)를 구축했습니다. AI와 머신러닝(ML)은 경미한 보안 사고 해결을 자동화하고 누적된 사고를 처리하여, 인간 분석가들이 더욱 복잡한 업무에 집중할 수 있도록 지원합니다.
경쟁 환경
이 시장의 주요 글로벌 업체로는 Palo Alto Networks Inc., Trellix, Darktrace, Cyclens Inc., Fortinet, Inc., Nozomi Networks Inc., ESET, s.r.o., ThreatMetrix, Inc. 및 Vectra AI, Inc. 등이 있습니다.
COVID-19 영향 분석
봉쇄 및 사회적 거리두기 조치로 인해 기업들은 시설 및 자산의 원격 모니터링을 위해 AI 기반 감시 및 보안 솔루션을 도입했습니다. AI 기반 카메라와 센서는 이상 징후 및 잠재적인 보안 위협을 감지하여 현장 보안 인력의 필요성을 줄여줍니다. 팬데믹 기간 동안 사이버 공격이 급증하면서 AI 기반 사이버 보안 도구의 중요성이 더욱 커졌습니다.
AI 시스템은 방대한 양의 데이터를 분석하여 위험을 신속하게 식별하고 해결함으로써 기업이 네트워크와 데이터를 보호할 수 있도록 지원합니다. AI를 활용하여 보안 사고 조사 및 대응과 같은 일상적인 보안 업무를 자동화함으로써 보안 팀은 보안 운영의 더욱 복잡하고 전략적인 측면에 집중할 수 있게 되었습니다.
사이버 공격과 사이버 스파이 활동은 지정학적 위기 시기에 증가하는 경향이 있습니다. 중요 인프라, 정부 기관 및 민간 기업은 국가 지원 행위자뿐만 아니라 비국가 행위자의 표적이 될 수 있습니다. AI 기반 사이버 보안 솔루션은 이러한 공격을 식별하고 대응하는 데 필수적입니다. 이러한 갈등은 AI 연구 개발 분야의 국제 협력에 영향을 미치는 지정학적 긴장으로 이어질 수 있습니다.

AI의 영향
AI 기반 보안 솔루션은 대량의 데이터를 실시간으로 분석하여 보안 위협과 이상 징후를 신속하게 탐지할 수 있습니다. 머신러닝 알고리즘은 사이버 공격과 관련된 패턴과 행동을 식별하여 더 빠른 대응을 가능하게 합니다. 이전 데이터와 지속적인 네트워크 모니터링을 기반으로 AI는 잠재적인 보안 위험을 예측하는 데 사용될 수 있으며, 이러한 선제적 접근 방식은 조직이 사이버 공격에 대비하고 공격 발생 전에 차단하는 데 도움이 됩니다.
AI 기반 보안 도구는 사용자 및 엔티티 행동을 분석하여 의심스러운 활동을 식별할 수 있습니다. 일반적인 사용자 행동을 이해함으로써 AI는 보안 침해를 나타낼 수 있는 편차를 표시할 수 있습니다. AI는 손상된 장치 격리, 악성 트래픽 차단 또는 사고 대응 절차 시작과 같은 보안 사고 대응을 자동화할 수 있으며, 이러한 자동화는 대응 시간을 단축하고 인적 오류를 최소화합니다.
예를 들어, 2022년 9월 11일 록히드 마틴은 아이오와 대학교 운영자 성능 연구소와 협력하여 모의 공대지 임무에서 유인 및 무인 항공기를 조정하는 데 인공지능(AI)을 성공적으로 시연했습니다. AI 에이전트는 신속한 의사 결정을 위한 데이터를 제공하고 조종사의 업무 부담을 줄였습니다. 이번 시연의 성공은 합동 전 영역 작전(Joint All Domain Operations)에서의 AI 기반 협업과 자율 임무 완수를 위한 길을 열어줄 수 있습니다.
러시아-우크라이나 전쟁의 영향
지정학적 위기 상황에서는 사이버 공격과 사이버 스파이 활동이 증가하는 경향이 있습니다. 중요 기반 시설, 정부 기관 및 민간 조직은 국가 지원 행위자뿐 아니라 비국가 행위자의 표적이 될 수 있습니다. AI 기반 사이버 보안 솔루션은 이러한 공격을 식별하고 대응하는 데 필수적입니다. 이 분쟁은 AI 연구 개발 분야의 국제 협력에 영향을 미치는 지정학적 긴장을 초래할 수 있습니다.
또한, 이 분쟁은 AI 인프라에 필수적인 반도체 및 기타 하드웨어를 포함한 기술 구성 요소의 글로벌 공급망을 교란할 수 있습니다. 공급망 차질은 AI 프로젝트 지연을 초래하고 AI 기반 보안 솔루션의 가용성에 영향을 미칠 수 있습니다. 조직과 정부는 진화하는 안보 위협과 국가 이익에 따라 AI 개발 및 배포에 대한 자원과 우선순위를 재분배하며, 이는 안보 및 국방과 직접적인 관련이 있는 AI 기술에 대한 관심으로 이어집니다.

제공 제품별
• 하드웨어
• 소프트웨어
• 서비스
배포 유형별
• 클라우드
• 온프레미스
보안 유형별
• 네트워크 보안
• 엔드포인트 보안
• 애플리케이션 보안
• 클라우드 보안
기술별
• 머신 러닝
• 자연어 처리
• 상황 인식 컴퓨팅
애플리케이션별
• 신원 및 접근 관리
• 위험 및 규정 준수 관리
• 데이터 손실 방지
• 통합 위협 관리
• 보안 및 취약점 관리
• 기타
최종 사용자별
• 금융·보험(BFSI)
• 소매
• 방위 산업
• 제조
• 기업
• 기타
지역별
• 북미
o 미국
o 캐나다
o 멕시코
• 유럽
o 독일
o 영국
o 프랑스
o 이탈리아
o 러시아
o 기타 유럽
• 남미
o 브라질
o 아르헨티나
o 기타 남미
• 아시아 태평양
o 중국
o 인도
o 일본
o 호주
o 기타 아시아 태평양
• 중동 및 아프리카
주요 개발 사항
• 2022년 10월, UBS와 마이크로소프트는 최근 협력 관계 확대를 발표했습니다. UBS는 향후 5년 동안 핵심 워크로드를 포함한 애플리케이션의 50% 이상을 Azure에서 운영할 계획입니다. 이러한 조치는 UBS의 글로벌 기술 인프라를 현대화하기 위한 것으로, 은행의 "클라우드 우선" 정책과 일맥상통합니다.
• 2022년 9월, IBM의 관리형 인프라 서비스 사업부에서 분사한 독립 기업 Kyndryl과 Elasticsearch 및 Elastic Stack 개발사인 Elastic은 데이터 관찰 가능성을 강화하기 위한 파트너십 확대를 발표했습니다. 이번 협력을 통해 Kyndryl의 데이터 및 AI 운영 전문성과 Elastic의 검색, 관찰 가능성 및 보안 솔루션을 결합하여 기업이 데이터에서 더 나은 인사이트를 얻을 수 있도록 지원하는 것을 목표로 합니다.
• 2022년 3월, 삼성은 마스터카드와 협력하여 지문 스캐너가 통합된 생체인식 신용카드를 개발했습니다. 이 카드에는 다양한 삼성 칩이 탑재되어 마스터카드 칩 결제를 지원하는 대부분의 POS 단말기와 호환됩니다.
보고서 구매 이유

• 제품, 배포 유형, 보안 유형, 기술, 애플리케이션, 최종 사용자 및 지역별 글로벌 인공지능(AI) 보안 시장 세분화를 시각화하고 주요 상업 자산 및 플레이어를 파악합니다.

• 트렌드 및 공동 개발 분석을 통해 사업 기회를 식별합니다.

• 모든 세그먼트를 포함한 인공지능(AI) 보안 시장 수준의 다양한 데이터가 담긴 Excel 데이터 시트를 제공합니다.

• 심층적인 질적 인터뷰와 연구를 바탕으로 종합적인 분석 결과를 담은 PDF 보고서를 제공합니다.

• 주요 플레이어의 핵심 제품을 모두 포함하는 제품 맵핑 Excel 파일을 제공합니다.

글로벌 인공지능(AI) 보안 시장 보고서는 약 85개의 표, 93개의 그림, 204페이지로 구성됩니다.
대상 고객 (2023년 기준)
• 제조업체/구매자
• 산업 투자자/투자 은행가
• 시장 조사 전문가
• 신흥 기업

보고서 요약(영어 원문)

Overview
Global Artificial Intelligence (AI) in Security Market reached US$ 21.0 billion in 2022 and is expected to reach US$ 54.2 billion by 2030, growing with a CAGR of 19.1% during the forecast period 2023-2030.
The increasing number and rising complexity for cyber threats, as well as physical security concerns, are pushing organizations to seek more advanced and automated security solutions. The sheer volume of data generated in the digital age is overwhelming for human analysts to process effectively. Real-time analysis of enormous data sets by AI could help to find vulnerabilities and risks.
For instance, on 21 September 2023, McAfee, a leading cybersecurity company, recently unveiled an innovative AI-powered scam protection feature designed to identify and block scams in real-time. As cyber threats continue to evolve and become more sophisticated, this technology represents a significant advancement in online security. The AI-powered scam protection system leverages machine learning algorithms and real-time data analysis to detect fraudulent activities.
Asia-Pacific is among the growing regions in the global artificial intelligence (AI) in security market covering more than 3/7th of the market and the region has witnessed a surge in cyber threats and attacks in recent years. With the growing reliance on digital technologies and the internet, businesses and governments in the region face constant cybersecurity challenges. AI offers advanced threat detection and response capabilities, making it a crucial tool for addressing these threats.
Dynamics
Government Initiatives Boost the Market
Government agencies often allocate substantial funds to support AI research and development in the security domain and these investments can fund the creation of AI technologies, cybersecurity solutions and related projects. Financial support encourages innovation and accelerates the adoption of AI in security. Governments establish regulatory frameworks and standards for AI adoption in security, these regulations can ensure responsible AI usage, data privacy and ethical practices.
According to a report from the Carnegie Endowment for International Peace, in 2022, the Chinese government has implemented three distinct approaches to artificial intelligence governance, each championed by different branches of the bureaucracy and this powerful regulator focuses on rule-based governance for specific AI applications. It released draft rules for regulating internet recommendation algorithms, including provisions for algorithmic interpretability and user rights protection. The Cyberspace Administration of China is working on a three-year roadmap for governing all internet algorithms, involving multiple regulators.
Implementing Machine Learning with AI Enables Threats and Malware
Cyber threats and malware attacks have grown increasingly sophisticated and adaptive. Traditional signature-based approaches are no longer sufficient to detect and prevent these advanced threats. ML and AI can analyze patterns and behaviors to identify novel threats. The availability of large datasets is crucial for training models to recognize normal and malicious behavior.
According to a report from the Senate Committee on Armed Services, U.S. Senate Armed Services Committee's Subcommittee on Cyber held a congressional hearing in May 2022 focused on the significance of leveraging artificial intelligence (AI) and machine learning (ML) in the realm of cyberspace. The hearing featured key representatives from Google and the Center for Security and Emerging Technology at Georgetown University.
Technology Advancement Boosts the Market
The rising complexity of cyber threats like malware, ransomware and phishing attacks has created a strong demand for the growth of AI-powered security solutions. In real-time AI analyzes a large volume of data accurately and quickly which is essential for identifying patterns and anomalies that indicate security breaches. It also automates many routines of security tasks like monitoring network traffic and flagging suspicious activities.
For instance, on 20 September 2022, NVIDIA introduced the NVIDIA IGX platform for high-precision edge AI, designed to enhance security and safety in industries such as manufacturing, logistics and healthcare and this platform is programmable and configurable, providing an adaptable solution for various industries needs. It aims to improve human-machine collaboration and safety in physical-world environments. IGX focuses on improving the safety and security of autonomous systems operating in industries with stringent regulations, such as manufacturing and logistics.
Incorrect Identification and Data Breaches
AI-powered security systems generate incorrect identification threat activity called false positives and false negatives (failing to detect actual threats). Achieving the right balance between accurate threat detection and minimizing false alarms can be challenging. Cybercriminals can use adversarial attacks to manipulate AI algorithms. They can craft malicious inputs designed to evade detection or mislead AI systems, making them less reliable.
According to an IBM report in 2023, the average cost of a data breach worldwide increased to an all-time high of US$ 4.45 Million, a 15% rise over the previous three years. Over the same three-year period, detection and escalation costs significantly increased by 42% and they now make up the majority of breach expenses, indicating a shift toward more involved breach investigations.
Segment Analysis
The global artificial intelligence (AI) in security market is segmented based on offering, deployment type, security type, technology, application, end-user and region.
AI-Powered Security Solutions in Cloud Environments
Advanced security solutions are becoming more and more important as cyber threats become more complex and widespread. Massive volumes of data may be instantly analyzed by AI, enabling real-time danger detection and reaction. The size and complexity of cloud environments provide many opportunities for possible threats to enter. AI can handle the scale of cloud computing, continuously monitoring and analyzing network traffic, user behavior and system logs.
For instance, on 29 August 2023, Google Cloud leveraged its acquisition of cybersecurity firm Mandiant to offer managed threat-hunting services to its Chronicle Security Operations customers. The service, Mandiant Hunt for Chronicle Security Operations, will provide access to Mandiant's threat-hunting intelligence and personnel within customers' Chronicle environments.
Geographical Penetration
Rising Cyber Threats Boost the Market
North America is dominating the global artificial intelligence (AI) in security market covering more than 1/3rd of the market particularly U.S. and Canada face a growing and evolving cyber threat landscape. The frequency and sophistication of cyberattacks, data breaches and ransomware incidents have increased. For efficiently identifying, reducing and responding to these dangers, AI is viewed as a crucial tool.
For instance, on 24 April 2023, North Dakota used artificial intelligence and machine learning to enhance its cybersecurity efforts. The state partnered with cybersecurity vendor Palo Alto Networks to build an autonomous security operations center (SOC) to protect 250,000 endpoints, including schools, government offices and police stations. AI and ML help automate low-level security incident resolution and address backlogged incidents, allowing human analysts to focus on more complex tasks.
Competitive Landscape
The major global players in the market include Palo Alto Networks Inc., Trellix, Darktrace,Cyclance Inc., Fortinet, Inc., Nozomi Networks Inc., , ESET, s.r.o., ThreatMetrix, Inc. and Vectra AI, Inc..
COVID-19 Impact Analysis
The lockdowns and social distancing measures in place organizations have turned to AI-driven surveillance and security solutions for remote monitoring of facilities and properties. AI-powered cameras and sensors can detect anomalies and potential security threats, reducing the need for physical security personnel on-site. AI-driven cybersecurity tools have become more critical as cyberattacks surged during the pandemic.
AI-driven cybersecurity tools have become more critical as cyberattacks surged during the pandemic. AI systems examine huge quantities of data to quickly identify and address dangers, assisting enterprises in safeguarding their networks and data. Security teams are able to focus on more complex and strategic aspects of security operations since AI has been used to automate regular security duties, such as security incident investigation and response.
Cyberattacks and cyber espionage activities tend to rise during periods of geopolitical crisis. Critical infrastructure, governmental institutions and private organizations may be the target of state-sponsored as well as non-state actors. Cybersecurity solutions powered by AI will be essential in identifying and countering these attacks. The conflict may lead to geopolitical tensions affecting international collaboration in AI research and development.
AI Impact
AI-powered security solutions analyze large amounts of data in real-time which allows for the rapid detection of security threats and anomalies. Machine learning algorithms identify patterns and behaviors associated with cyberattacks and enable quicker response times. Based on previous data and continuous network monitoring, AI may be used to anticipate potential security risks and this proactive approach helps organizations get ready for and stop cyberattacks before they happen.
AI-driven security tools can analyze user and entity behavior to identify suspicious activities. By understanding typical user behavior, AI can flag deviations that may indicate a security breach. AI can automate responses to security incidents, such as isolating compromised devices, blocking malicious traffic or initiating incident response procedures and this automation reduces the response time and minimizes human error.
For instance, on 11 September 2022, Lockheed Martin, in collaboration with the University of Iowa's Operator Performance Laboratory, successfully demonstrated the use of artificial intelligence (AI) in coordinating manned and unmanned aircraft in a simulated air-to-ground mission. The AI agents provided data for rapid decision-making and reduced pilot workload. The success of this demonstration could pave the way for AI-enabled collaboration in Joint All Domain Operations and autonomous mission completion.
Russia- Ukraine War Impact
Cyberattacks and cyber espionage activities tend to rise during periods of geopolitical crisis. Critical infrastructure, governmental institutions and private organizations may be the target of state-sponsored as well as non-state actors. Cybersecurity solutions powered by AI will be essential in identifying and countering these attacks. The conflict may lead to geopolitical tensions affecting international collaboration in AI research and development.
The conflict may disrupt the global supply chain for technology components, including semiconductors and other hardware critical for AI infrastructure. Supply chain disruptions can lead to delays in AI projects and impact the availability of AI-powered security solutions. Organizations and governments reallocate resources and priorities in AI development and deployment based on evolving security threats and national interests and which leads to a shift in focus towards AI technologies with direct relevance to security and defense.
By Offering
• Hardware
• Software
• Services
By Deployment Type
• Cloud
• On-Premise
By Security Type
• Network Security
• Endpoint Security
• Application Security
• Cloud Security
By Technology
• Machine Learning
• Natural Language Processing
• Context-Aware Computing
By Application
• Identity and Access Management
• Risk and Compliance Management
• Data Loss Prevention
• Unified Threat Management
• Security and Vulnerability Management
• Others
By End-User
• BFSI
• Retail
• Defense
• Manufacturing
• Enterprise
• Others
By Region
• North America
o U.S.
o Canada
o Mexico
• Europe
o Germany
o UK
o France
o Italy
o Russia
o Rest of Europe
• South America
o Brazil
o Argentina
o Rest of South America
• Asia-Pacific
o China
o India
o Japan
o Australia
o Rest of Asia-Pacific
• Middle East and Africa
Key Developments
• In October 2022, UBS and Microsoft recently announced an expansion of their relationship. UBS intends to run more than 50% of its applications, including crucial workloads, on Azure during the following five years. This action intends to update UBS's global technological infrastructure and is consistent with the bank's "cloud first" policy.
• In September 2022, Kyndryl, an independent company spun off from IBM's Managed Infrastructure Services business and Elastic, the company behind Elasticsearch and the Elastic Stack, announced an expanded partnership to enable data observability. The collaboration aims to help organizations gain better insights from their data by leveraging Kyndryl's expertise in data and AI operations alongside Elastic's solutions for search, observability and security.
• In March 2022, in collaboration with Mastercard, Samsung is developing biometric credit cards with integrated fingerprint scanners and these cards will feature numerous distinct Samsung chips and be compatible with the majority of point-of-sale terminals that support Mastercard chip payments.
Why Purchase the Report?
• To visualize the global artificial intelligence (AI) in security market segmentation based on offering, deployment type, security type, technology, application, end-user and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of artificial intelligence (AI) in security market-level with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as excel consisting of key products of all the major players.
The global artificial intelligence (AI) in security market report would provide approximately 85 tables, 93 figures and 204 Pages.
Target Audience 2023
• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

상세 목차

1. Methodology and Scope
1.1. Research Methodology
1.2. Research Objective and Scope of the Report
2. Definition and Overview
3. Executive Summary
3.1. Snippet by Offering
3.2. Snippet by Deployment Type
3.3. Snippet by Security Type
3.4. Snippet by Technology
3.5. Snippet by Application
3.6. Snippet by End-User
3.7. Snippet by Region
4. Dynamics
4.1. Impacting Factors
4.1.1. Drivers
4.1.1.1. Government Initiatives Boost the Market
4.1.1.2. Implementing Machine Learning with AI Enables Threats and Malware
4.1.1.3. Technology Advancement Boosts the Market
4.1.2. Restraints
4.1.2.1. Incorrect Identification and Data Breaches
4.1.3. Opportunity
4.1.4. Impact Analysis
5. Industry Analysis
5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion
6. COVID-19 Analysis
6.1. Analysis of COVID-19
6.1.1. Scenario Before COVID
6.1.2. Scenario During COVID
6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion
7. By Offering
7.1. Introduction
7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
7.1.2. Market Attractiveness Index, By Offering
7.2. Hardware*
7.2.1. Introduction
7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Software
7.4. Services
8. By Deployment Type
8.1. Introduction
8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
8.1.2. Market Attractiveness Index, By Deployment Type
8.2. Cloud*
8.2.1. Introduction
8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. On-Premise
9. By Security Type
9.1. Introduction
9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
9.1.2. Market Attractiveness Index, By Security Type
9.2. Network Security*
9.2.1. Introduction
9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Endpoint Security
9.4. Application Security
9.5. Cloud Security
10. By Technology
10.1. Introduction
10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
10.1.2. Market Attractiveness Index, By Technology
10.2. Machine Learning*
10.2.1. Introduction
10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Natural Language Processing
10.4. Context-Aware Computing
11. By Application
11.1. Introduction
11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
11.1.2. Market Attractiveness Index, By Application
11.2. Identity and Access Management*
11.2.1. Introduction
11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Risk and Compliance Management
11.4. Data Loss Prevention
11.5. Unified Threat Management
11.6. Security and Vulnerability Management
11.7. Others
12. By End-User
12.1. Introduction
12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
12.1.2. Market Attractiveness Index, By End-User
12.2. BFSI*
12.2.1. Introduction
12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
12.3. Retail
12.4. Defense
12.5. Manufacturing
12.6. Enterprise
12.7. Others
13. By Region
13.1. Introduction
13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
13.1.2. Market Attractiveness Index, By Region
13.2. North America
13.2.1. Introduction
13.2.2. Key Region-Specific Dynamics
13.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
13.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
13.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
13.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
13.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
13.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
13.2.9.1. U.S.
13.2.9.2. Canada
13.2.9.3. Mexico
13.3. Europe
13.3.1. Introduction
13.3.2. Key Region-Specific Dynamics
13.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
13.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
13.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
13.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
13.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
13.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
13.3.9.1. Germany
13.3.9.2. UK
13.3.9.3. France
13.3.9.4. Italy
13.3.9.5. Russia
13.3.9.6. Rest of Europe
13.4. South America
13.4.1. Introduction
13.4.2. Key Region-Specific Dynamics
13.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
13.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
13.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
13.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
13.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
13.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
13.4.9.1. Brazil
13.4.9.2. Argentina
13.4.9.3. Rest of South America
13.5. Asia-Pacific
13.5.1. Introduction
13.5.2. Key Region-Specific Dynamics
13.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
13.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
13.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
13.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
13.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
13.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
13.5.9.1. China
13.5.9.2. India
13.5.9.3. Japan
13.5.9.4. Australia
13.5.9.5. Rest of Asia-Pacific
13.6. Middle East and Africa
13.6.1. Introduction
13.6.2. Key Region-Specific Dynamics
13.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
13.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
13.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Security Type
13.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
13.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
13.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
14. Competitive Landscape
14.1. Competitive Scenario
14.2. Market Positioning/Share Analysis
14.3. Mergers and Acquisitions Analysis
15. Company Profiles
15.1. Palo Alto Networks Inc.*
15.1.1. Company Overview
15.1.2. Product Portfolio and Description
15.1.3. Financial Overview
15.1.4. Key Developments
15.2. Trellix
15.3. Darktrace
15.4. Cyclance Inc.
15.5. Fortinet, Inc.
15.6. Nozomi Networks Inc.
15.7. Bitdefender
15.8. ESET, s.r.o.
15.9. ThreatMetrix, Inc.
15.10. Vectra AI, Inc.
LIST NOT EXHAUSTIVE
16. Appendix
16.1. About Us and Services
16.2. Contact Us

언급된 주요 기업들

Palo Alto Networks Inc., 4.	Key Developments, Trellix, Darktrace, Cyclance Inc., Fortinet, Inc., Nozomi Networks Inc., Bitdefender, ESET, s.r.o., ThreatMetrix, Inc., Vectra AI, Inc.

표 목록 (Tables)

List of Tables

Table 1 Global Artificial Intelligence (AI) in Security Market Value, By Offering, 2023, 2027 & 2031 (US$ Billion)

Table 2 Global Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2023, 2027 & 2031 (US$ Billion)

Table 3 Global Artificial Intelligence (AI) in Security Market Value, By Security Type, 2023, 2027 & 2031 (US$ Billion)

Table 4 Global Artificial Intelligence (AI) in Security Market Value, By Technology, 2023, 2027 & 2031 (US$ Billion)

Table 5 Global Artificial Intelligence (AI) in Security Market Value, By Application, 2023, 2027 & 2031 (US$ Billion)

Table 6 Global Artificial Intelligence (AI) in Security Market Value, By End-User, 2023, 2027 & 2031 (US$ Billion)

Table 7 Global Artificial Intelligence (AI) in Security Market Value, By Region, 2023, 2027 & 2031 (US$ Billion)

Table 8 Global Artificial Intelligence (AI) in Security Market Value, By Offering, 2023, 2027 & 2031 (US$ Billion)

Table 9 Global Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 10 Global Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2023, 2027 & 2031 (US$ Billion)

Table 11 Global Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 12 Global Artificial Intelligence (AI) in Security Market Value, By Security Type, 2023, 2027 & 2031 (US$ Billion)

Table 13 Global Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 14 Global Artificial Intelligence (AI) in Security Market Value, By Technology, 2023, 2027 & 2031 (US$ Billion)

Table 15 Global Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 16 Global Artificial Intelligence (AI) in Security Market Value, By Application, 2023, 2027 & 2031 (US$ Billion)

Table 17 Global Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 18 Global Artificial Intelligence (AI) in Security Market Value, By End-User, 2023, 2027 & 2031 (US$ Billion)

Table 19 Global Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 20 Global Artificial Intelligence (AI) in Security Market Value, By Region, 2023, 2027 & 2031 (US$ Billion)

Table 21 Global Artificial Intelligence (AI) in Security Market Value, By Region, 2022-2031 (US$ Billion)

Table 22 North America Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 23 North America Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 24 North America Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 25 North America Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 26 North America Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 27 North America Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 28 North America Artificial Intelligence (AI) in Security Market Value, By Country, 2022-2031 (US$ Billion)

Table 29 South America Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 30 South America Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 31 South America Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 32 South America Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 33 South America Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 34 South America Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 35 South America Artificial Intelligence (AI) in Security Market Value, By Country, 2022-2031 (US$ Billion)

Table 36 Europe Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 37 Europe Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 38 Europe Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 39 Europe Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 40 Europe Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 41 Europe Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 42 Europe Artificial Intelligence (AI) in Security Market Value, By Country, 2022-2031 (US$ Billion)

Table 43 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 44 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 45 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 46 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 47 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 48 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 49 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, By Country, 2022-2031 (US$ Billion)

Table 50 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By Offering, 2022-2031 (US$ Billion)

Table 51 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By Deployment Type, 2022-2031 (US$ Billion)

Table 52 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By Security Type, 2022-2031 (US$ Billion)

Table 53 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By Technology, 2022-2031 (US$ Billion)

Table 54 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By Application, 2022-2031 (US$ Billion)

Table 55 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, By End-User, 2022-2031 (US$ Billion)

Table 56 Palo Alto Networks Inc.: Overview

Table 57 Palo Alto Networks Inc.: Product Portfolio

Table 58 Palo Alto Networks Inc.: Key Developments

Table 59 Trellix: Overview

Table 60 Trellix: Product Portfolio

Table 61 Trellix: Key Developments

Table 62 Darktrace: Overview

Table 63 Darktrace: Product Portfolio

Table 64 Darktrace: Key Developments

Table 65 Cyclance Inc.: Overview

Table 66 Cyclance Inc.: Product Portfolio

Table 67 Cyclance Inc.: Key Developments

Table 68 Fortinet, Inc.: Overview

Table 69 Fortinet, Inc.: Product Portfolio

Table 70 Fortinet, Inc.: Key Developments

Table 71 Nozomi Networks Inc.: Overview

Table 72 Nozomi Networks Inc.: Product Portfolio

Table 73 Nozomi Networks Inc.: Key Developments

Table 74 Bitdefender: Overview

Table 75 Bitdefender: Product Portfolio

Table 76 Bitdefender: Key Developments

Table 77 ESET, s.r.o.: Overview

Table 78 ESET, s.r.o.: Product Portfolio

Table 79 ESET, s.r.o.: Key Developments

Table 80 ThreatMetrix, Inc.: Overview

Table 81 ThreatMetrix, Inc.: Product Portfolio

Table 82 ThreatMetrix, Inc.: Key Developments

Table 83 Vectra AI, Inc.: Overview

Table 84 Vectra AI, Inc.: Product Portfolio

Table 85 Vectra AI, Inc.: Key Developments

그림 목록 (Figures)

List of Figures

Figure 1 Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 2 Global Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 3 Global Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 4 Global Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 5 Global Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 6 Global Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 7 Global Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 8 Global Artificial Intelligence (AI) in Security Market Share, By Region, 2023 & 2031 (%)

Figure 9 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Offering, 2023-2031 (%)

Figure 10 Hardware Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 11 Software Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 12 Services Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 13 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Deployment Type, 2023-2031 (%)

Figure 14 Cloud Deployment Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 15 On-Premise Deployment Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 16 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Security Type, 2023-2031 (%)

Figure 17 Network Security Security Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 18 Endpoint Security Security Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 19 Application Security Security Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 20 Cloud Security Security Type in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 21 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Technology, 2023-2031 (%)

Figure 22 Machine Learning Technology in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 23 Natural Language Processing Technology in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 24 Context-Aware Computing Technology in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 25 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Application, 2023-2031 (%)

Figure 26 Identity and Access Management Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 27 Risk and Compliance Management Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 28 Data Loss Prevention Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 29 Unified Threat Management Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 30 Security and Vulnerability Management Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 31 Others Application in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 32 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By End-User, 2023-2031 (%)

Figure 33 BFSI End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 34 Retail End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 35 Defense End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 36 Manufacturing End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 37 Enterprise End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 38 Others End-User in Global Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 39 Global Artificial Intelligence (AI) in Security Market Y-o-Y Growth, By Region, 2023-2031 (%)

Figure 40 North America Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 41 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 42 Europe Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 43 South America Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 44 Middle East and Africa Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 45 North America Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 46 North America Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 47 North America Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 48 North America Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 49 North America Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 50 North America Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 51 North America Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 52 North America Artificial Intelligence (AI) in Security Market Share, By Country, 2023 & 2031 (%)

Figure 53 South America Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 54 South America Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 55 South America Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 56 South America Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 57 South America Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 58 South America Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 59 South America Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 60 South America Artificial Intelligence (AI) in Security Market Share, By Country, 2023 & 2031 (%)

Figure 61 Europe Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 62 Europe Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 63 Europe Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 64 Europe Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 65 Europe Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 66 Europe Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 67 Europe Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 68 Europe Artificial Intelligence (AI) in Security Market Share, By Country, 2023 & 2031 (%)

Figure 69 Asia-Pacific Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 70 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 71 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 72 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 73 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 74 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 75 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 76 Asia-Pacific Artificial Intelligence (AI) in Security Market Share, By Country, 2023 & 2031 (%)

Figure 77 Middle East & Africa Artificial Intelligence (AI) in Security Market Value, 2022-2031 (US$ Billion)

Figure 78 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By Offering, 2023 & 2031 (%)

Figure 79 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By Deployment Type, 2023 & 2031 (%)

Figure 80 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By Security Type, 2023 & 2031 (%)

Figure 81 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By Technology, 2023 & 2031 (%)

Figure 82 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By Application, 2023 & 2031 (%)

Figure 83 Middle East & Africa Artificial Intelligence (AI) in Security Market Share, By End-User, 2023 & 2031 (%)

Figure 84 Palo Alto Networks Inc.: Financials

Figure 85 Trellix: Financials

Figure 86 Darktrace: Financials

Figure 87 Cyclance Inc.: Financials

Figure 88 Fortinet, Inc.: Financials

Figure 89 Nozomi Networks Inc.: Financials

Figure 90 Bitdefender: Financials

Figure 91 ESET, s.r.o.: Financials

Figure 92 ThreatMetrix, Inc.: Financials

Figure 93 Vectra AI, Inc.: Financials

글로벌 인공지능(AI) 보안 시장 – 2023-2030

Global Artificial Intelligence (AI) in Security Market - 2023-2030