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市場調查報告書
商品編碼
2021756

人工智慧威脅偵測市場預測——按組件、部署模式、應用、最終用戶和地區分類的全球分析——2034年

AI in Threat Detection Market Forecasts to 2034 - Global Analysis By Component (Software, Hardware and Services), Deployment, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

全球人工智慧威脅偵測市場預計到 2026 年將達到 261 億美元，並在預測期內以 18.0% 的複合年成長率成長，到 2034 年達到 980 億美元。

人工智慧正在變革威脅偵測領域，實現對安全威脅的快速識別和回應。人工智慧利用先進的機器學習技術，分析包括網路活動、使用者行為和系統日誌在內的大規模資料集，以偵測可能徵兆網路攻擊或內部風險的異常行為。這種方法提高了準確性，減少了誤報，並縮短了回應時間，使組織能夠主動預防潛在的安全漏洞。此外，人工智慧還能持續學習新興的攻擊手段，提供自適應防護。因此，人工智慧驅動的威脅偵測能夠提升網路安全的有效性，並增強組織的整體韌性。

據 Springer Nature 稱，隨著網路攻擊規模和複雜性的增加，人工智慧驅動的檢測技術變得越來越重要，超過 77,000 次瀏覽和 217 次引用證明了它們在網路安全研究領域的重要性。

雲端技術和物聯網技術的廣泛應用

雲端運算和物聯網的日益普及擴大了網路攻擊的範圍，並推動了對人工智慧威脅偵測的需求。這些環境產生的大量資料難以被傳統安全系統監控。人工智慧可以即時處理這些數據，主動偵測異常、漏洞和新興威脅。此類解決方案有助於企業保護其雲端和物聯網網路，降低安全風險，並維持平穩運作。因此，基於人工智慧的威脅偵測正成為管理複雜數位基礎架構的關鍵工具，使企業能夠安全地利用雲端運算和物聯網技術的優勢。

高昂的實施成本

實施人工智慧驅動的威脅偵測解決方案需要對技術、基礎設施和專業技術人員進行大量投資。對於小規模的組織而言，證明採用人工智慧相關成本的合理性往往十分困難。與現有IT系統整合可能需要額外的客製化，從而進一步增加整體成本。這些高昂的前期投入和持續營運成本限制了人工智慧驅動的網路安全解決方案的普及，尤其是在預算敏感的行業。儘管人工智慧在威脅管理方面具有潛在優勢，但財務因素仍然是一大障礙，限制了人工智慧解決方案的採用，並減緩了不同規模企業的市場成長。

醫療保健和金融領域的擴張

由於監管壓力和敏感數據處理，醫療保健和金融業為人工智慧在威脅偵測方面提供了巨大的機會。人工智慧工具可以追蹤患者記錄、金融交易和網路活動，從而檢測異常情況和潛在威脅。預測分析可主動預防資料外洩、詐欺和勒索軟體攻擊，確保符合 HIPAA、PCI DSS 和 GDPR 等標準。人工智慧的應用可以增強資料安全性，降低營運風險，並維護患者和客戶的信任。這些領域對數位化營運日益成長的依賴表明，人工智慧驅動的網路安全解決方案擁有巨大的市場潛力。

針對人工智慧系統的進階網路攻擊

隨著人工智慧在威脅偵測日益普及，網路犯罪分子正發動旨在欺騙人工智慧系統的複雜攻擊。對抗性輸入、規避和資料投毒等技術會損害人工智慧模型的效能和可靠性。這些漏洞可能導致未被發現的安全漏洞，進而造成資料遺失、業務中斷和經濟損失。由於這些攻擊不斷演變，定期更新人工智慧模型、採取強力的安全措施以及持續監控至關重要。面對這種威脅，企業必須始終領先於那些瞄準網路安全解決方案本身智慧的攻擊者，同時也要確保人工智慧系統作為可靠的防禦手段。

新冠疫情的影響：

新冠疫情對人工智慧威脅偵測市場產生了重大影響，推動了數位化、遠端辦公和雲端技術的加速應用。連接性的提升和分散式網路的普及使企業面臨更高的網路安全風險，促使企業加大對人工智慧驅動的即時威脅監控和緩解解決方案的投資。現場IT人員的減少進一步凸顯了對自動化智慧系統的需求。傳統安全工具的不足加速了向人工智慧技術的轉型。因此，疫情已成為人工智慧威脅偵測市場的主要成長要素，凸顯了可擴展、主動式和適應性強的人工智慧威脅偵測解決方案對於保護各產業不斷發展的數位基礎設施的重要性。

在預測期內，預計雲端業務部分將佔據最大佔有率。

由於其適應性強、擴充性且部署速度快，預計在預測期內，雲端解決方案將佔據最大的市場佔有率。企業更傾向於選擇基於雲端的AI解決方案，這些方案無需大量本地投資即可即時監控網路、終端和應用程式。自動化威脅偵測、分析以及遠端系統更新功能可顯著提升營運效率。雲端服務的日益普及、數位轉型以及遠距辦公的興起，進一步增強了雲端解決方案的吸引力。

在預測期內，雲端安全領域預計將呈現最高的複合年成長率。

在預測期內，受雲端技術廣泛應用和針對雲端的網路威脅日益增多的推動，雲端安全領域預計將呈現最高的成長率。人工智慧驅動的雲端安全解決方案可為雲端應用和工作負載提供持續監控、預測性威脅偵測和自動回應。企業正擴大採用這些解決方案來保護資料、確保合規性並支援分散式辦公室。擴充性、經濟性和人工智慧驅動的雲端安全技術的不斷進步正在推動其快速擴張，使雲端安全成為市場中成長最快的領域。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其先進的IT基礎設施、人工智慧的早期應用以及大量的網路安全投資。金融、醫療保健和政府等關鍵產業高度重視敏感資料的保護，推動了對人工智慧驅動的威脅偵測解決方案的需求。領先的人工智慧和網路安全供應商的存在促進了創新和快速部署。此外，嚴格的監管合規、高度的網路風險意識以及持續的數位轉型，這些因素鞏固了北美在市場上的主導地位，使其成為全球威脅偵測人工智慧市場最大的區域貢獻者。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位轉型、人工智慧應用的不斷擴展以及日益嚴峻的網路威脅。對IT基礎設施、雲端服務和智慧技術的巨額投資，催生了對人工智慧驅動的威脅偵測解決方案的強勁需求。人們對網路安全風險的日益關注、政府加強防護的舉措以及IT和金融業的擴張，都為進一步成長提供了支撐。這些因素共同推動亞太地區成為成長最快的地區，為企業採用人工智慧驅動的網路安全解決方案、加強防禦以應對不斷演變的數位威脅提供了巨大機會。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧威脅偵測市場：按組件分類

  • 軟體
  • 硬體
  • 服務

第6章：全球人工智慧威脅偵測市場：依部署方式分類

  • 雲
  • 現場

第7章：全球人工智慧威脅偵測市場：按應用領域分類

  • 網路安全
  • 端點安全
  • 雲端安全
  • 專業應用

第8章：全球威脅偵測人工智慧市場：按最終用戶分類

  • 銀行、金融服務、保險業 (BFSI)
  • 衛生保健
  • 政府
  • 防禦
  • 資訊科技/通訊
  • 零售
  • 產業

第9章：全球威脅偵測人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第10章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第11章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第12章：公司簡介

  • IBM Corporation
  • Google Cloud（Alphabet Inc.）
  • Microsoft Corporation
  • Amazon Web Services（AWS）
  • Palo Alto Networks
  • Cisco Systems, Inc.
  • CrowdStrike Holdings, Inc.
  • Fortinet, Inc.
  • Check Point Software Technologies Ltd.
  • Darktrace PLC
  • FireEye, Inc.
  • Splunk Inc.
  • McAfee Corp.
  • Broadcom Inc.
  • Sophos Group plc
  • Trend Micro Incorporated
  • SentinelOne, Inc.
  • Vectra AI, Inc.
Product Code: SMRC34974

According to Stratistics MRC, the Global AI in Threat Detection Market is accounted for $26.1 billion in 2026 and is expected to reach $98.0 billion by 2034 growing at a CAGR of 18.0% during the forecast period. AI is transforming the field of threat detection by allowing rapid identification and response to security threats. Using advanced machine learning, AI examines large datasets, including network activity, user actions, and system logs, to uncover unusual behavior that may signal cyberattacks or internal risks. This approach increases precision, lowers false alarms, and speeds up reaction times, helping organizations prevent potential security breaches. Additionally, AI continuously learns from new attack methods, offering adaptive protection. Consequently, AI-driven threat detection enhances cybersecurity effectiveness and bolsters the overall resilience of enterprises.

According to Springer Nature, reports that AI-driven detection techniques are critical as cyberattacks grow in scale and sophistication, with over 77,000 accesses and 217 citations validating its importance in cyber security research.

Market Dynamics:

Driver:

Increased adoption of cloud and IoT technologies

Growing cloud and IoT adoption has widened the cyberattack surface, boosting demand for AI-driven threat detection. The immense data generated by these environments is difficult for conventional security systems to monitor. AI processes this data in real time, detecting anomalies, vulnerabilities, and emerging threats proactively. Such solutions help organizations safeguard cloud and IoT networks, reduce security risks, and maintain smooth operations. AI-based threat detection has thus become a critical tool for managing complex digital infrastructures and ensuring that enterprises can securely leverage the benefits of cloud computing and IoT technologies.

Restraint:

High implementation costs

Deploying AI-powered threat detection solutions demands substantial investment in technology, infrastructure, and trained professionals. Smaller organizations often find it difficult to justify the expenses associated with AI implementation. Integration with existing IT systems may require additional customization, raising overall costs. These high upfront and ongoing expenses limit the adoption of AI-driven cybersecurity, particularly in budget-conscious industries. Despite the potential benefits in threat management, financial considerations remain a significant barrier, restricting widespread use of AI-based solutions and slowing market growth across enterprises of varying sizes.

Opportunity:

Expansion in healthcare and financial sectors

Healthcare and finance sectors present strong opportunities for AI in threat detection due to regulatory pressures and sensitive data handling. AI tools can track patient records, financial transactions, and network activity to detect anomalies and potential threats. Predictive analytics prevents breaches, fraud, and ransomware attacks, ensuring regulatory compliance with standards like HIPAA, PCI DSS, and GDPR. Implementing AI improves data security, mitigates operational risks, and maintains trust among patients and customers. The increasing reliance on digital operations in these sectors highlights a significant market opportunity for AI-driven cybersecurity solutions.

Threat:

Sophisticated cyberattacks targeting ai systems

The widespread use of AI in threat detection has prompted cybercriminals to craft sophisticated attacks aimed at deceiving AI systems. Techniques like adversarial inputs, evasion, and data poisoning can undermine AI model performance and reliability. Such vulnerabilities may allow breaches to go unnoticed, leading to data loss, operational interruptions, and financial setbacks. The evolving nature of these attacks necessitates regular AI model updates, strong security measures, and continuous oversight. This threat challenges organizations to maintain AI systems as dependable defenses while staying ahead of attackers who target the very intelligence of their cybersecurity solutions.

Covid-19 Impact:

The COVID-19 pandemic significantly influenced the AI in threat detection market by accelerating digital adoption, remote work, and cloud usage. Increased connectivity and distributed networks exposed organizations to higher cybersecurity risks, prompting investment in AI-driven solutions for real-time threat monitoring and mitigation. Reduced on-site IT staff further underscored the need for automated and intelligent systems. Legacy security tools proved insufficient, accelerating the shift toward AI technologies. Consequently, the pandemic served as a key growth driver, highlighting the importance of scalable, proactive, and adaptive AI threat detection solutions to secure evolving digital infrastructures across industries.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is expected to account for the largest market share during the forecast period owing to its adaptability, scalability, and rapid deployment capabilities. Organizations favor cloud-based AI solutions as they provide real-time monitoring of networks, endpoints, and applications without significant on-premises investment. Remote access to automated threat detection, analytics, and system updates enhances operational efficiency. The increasing use of cloud services, digital transformation, and remote work further boosts the appeal of cloud solutions.

The cloud security segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud security segment is predicted to witness the highest growth rate, fueled by the widespread adoption of cloud technologies and the rise of cloud-focused cyber threats. AI-enabled cloud security solutions offer continuous monitoring, predictive threat detection, and automated responses for cloud applications and workloads. Businesses are increasingly adopting these solutions to safeguard data, maintain regulatory compliance, and support distributed workforces. The combination of scalability, affordability, and ongoing advancements in AI-driven cloud security is driving rapid expansion, making cloud security the segment with the fastest growth rate in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by advanced IT infrastructure, early AI adoption, and substantial cybersecurity investments. Key sectors such as finance, healthcare, and government emphasize safeguarding sensitive data, fueling demand for AI-driven threat detection solutions. The presence of leading AI and cybersecurity vendors promotes innovation and rapid deployment. Combined with strong regulatory compliance, high cyber risk awareness, and ongoing digital transformation, these factors solidify North America's leading market position, making it the largest regional contributor to the global AI in threat detection market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digital transformation, increasing AI adoption, and rising cyber threats. Significant investments in IT infrastructure, cloud services, and smart technologies are creating strong demand for AI-enabled threat detection solutions. Heightened awareness of cybersecurity risks, government efforts to enhance protection, and expansion of IT and financial sectors further support growth. These combined factors make Asia-Pacific the fastest-growing region, offering considerable opportunities for enterprises to adopt AI-powered cybersecurity solutions and strengthen their defenses against evolving digital threats.

Key players in the market

Some of the key players in AI in Threat Detection Market include IBM Corporation, Google Cloud (Alphabet Inc.), Microsoft Corporation, Amazon Web Services (AWS), Palo Alto Networks, Cisco Systems, Inc., CrowdStrike Holdings, Inc., Fortinet, Inc., Check Point Software Technologies Ltd., Darktrace PLC, FireEye, Inc., Splunk Inc., McAfee Corp., Broadcom Inc., Sophos Group plc, Trend Micro Incorporated, SentinelOne, Inc. and Vectra AI, Inc.

Key Developments:

In January 2026, Cisco Systems, Inc. announced its multi-year partnership with Georgetown University to modernize the campus network. Management noted that the partnership entails upgrading the entire university campus network using cutting-edge technologies. As a result, Georgetown will become one of the first universities with the largest Wi-Fi 7 deployment.

In January 2026, Microsoft Corp has been awarded a $170,444,462 firm-fixed-price task order for the Cloud One Program by the U.S. Department of War. The contract will provide Microsoft Azure cloud service offerings to support the Air Force's Cloud One Program and its customers. Work on the project will be performed at Microsoft's designated facilities across the contiguous United States.

In December 2025, IBM and Confluent, Inc. announced they have entered into a definitive agreement under which IBM will acquire all of the issued and outstanding common shares of Confluent for $31 per share, representing an enterprise value of $11 billion. Confluent provides a leading open-source enterprise data streaming platform that connects processes and governs reusable and reliable data and events in real time, foundational for the deployment of AI.

Components Covered:

  • Software
  • Hardware
  • Services

Deployments Covered:

  • Cloud
  • On-Premises

Applications Covered:

  • Network Security
  • Endpoint Security
  • Cloud Security
  • Specialized Applications

End Users Covered:

  • BFSI (Banking, Financial Services, Insurance)
  • Healthcare
  • Government
  • Defense
  • IT & Telecom
  • Retail
  • Industrial

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Threat Detection Market, By Component

  • 5.1 Software
  • 5.2 Hardware
  • 5.3 Services

6 Global AI in Threat Detection Market, By Deployment

  • 6.1 Cloud
  • 6.2 On-Premises

7 Global AI in Threat Detection Market, By Application

  • 7.1 Network Security
  • 7.2 Endpoint Security
  • 7.3 Cloud Security
  • 7.4 Specialized Applications

8 Global AI in Threat Detection Market, By End User

  • 8.1 BFSI (Banking, Financial Services, Insurance)
  • 8.2 Healthcare
  • 8.3 Government
  • 8.4 Defense
  • 8.5 IT & Telecom
  • 8.6 Retail
  • 8.7 Industrial

9 Global AI in Threat Detection Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 IBM Corporation
  • 12.2 Google Cloud (Alphabet Inc.)
  • 12.3 Microsoft Corporation
  • 12.4 Amazon Web Services (AWS)
  • 12.5 Palo Alto Networks
  • 12.6 Cisco Systems, Inc.
  • 12.7 CrowdStrike Holdings, Inc.
  • 12.8 Fortinet, Inc.
  • 12.9 Check Point Software Technologies Ltd.
  • 12.10 Darktrace PLC
  • 12.11 FireEye, Inc.
  • 12.12 Splunk Inc.
  • 12.13 McAfee Corp.
  • 12.14 Broadcom Inc.
  • 12.15 Sophos Group plc
  • 12.16 Trend Micro Incorporated
  • 12.17 SentinelOne, Inc.
  • 12.18 Vectra AI, Inc.

List of Tables

  • Table 1 Global AI in Threat Detection Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Threat Detection Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Threat Detection Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global AI in Threat Detection Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 5 Global AI in Threat Detection Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI in Threat Detection Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 7 Global AI in Threat Detection Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 8 Global AI in Threat Detection Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 9 Global AI in Threat Detection Market Outlook, By Application (2023-2034) ($MN)
  • Table 10 Global AI in Threat Detection Market Outlook, By Network Security (2023-2034) ($MN)
  • Table 11 Global AI in Threat Detection Market Outlook, By Endpoint Security (2023-2034) ($MN)
  • Table 12 Global AI in Threat Detection Market Outlook, By Cloud Security (2023-2034) ($MN)
  • Table 13 Global AI in Threat Detection Market Outlook, By Specialized Applications (2023-2034) ($MN)
  • Table 14 Global AI in Threat Detection Market Outlook, By End User (2023-2034) ($MN)
  • Table 15 Global AI in Threat Detection Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2023-2034) ($MN)
  • Table 16 Global AI in Threat Detection Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 17 Global AI in Threat Detection Market Outlook, By Government (2023-2034) ($MN)
  • Table 18 Global AI in Threat Detection Market Outlook, By Defense (2023-2034) ($MN)
  • Table 19 Global AI in Threat Detection Market Outlook, By IT & Telecom (2023-2034) ($MN)
  • Table 20 Global AI in Threat Detection Market Outlook, By Retail (2023-2034) ($MN)
  • Table 21 Global AI in Threat Detection Market Outlook, By Industrial (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.