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1857052

全球基於人工智慧的網路威脅情報市場：預測至 2032 年——按組件、部署類型、組織規模、應用、最終用戶和地區進行分析

AI-Powered Cyber Threat Intelligence Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Organization Size (Small and Medium-sized Enterprises, and Large Enterprises), Application, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧驅動的網路威脅情報市場預計到 2025 年將達到 21 億美元，到 2032 年將達到 76 億美元，預測期內複合年成長率為 19.8%。

人工智慧驅動的網路威脅情報專注於利用人工智慧收集、分析和關聯海量網路威脅資料的平台。它將原始數據轉化為可執行的情報，預測攻擊途徑，並識別新興惡意軟體，從而實現主動防禦而非被動回應。隨著網路威脅的數量和複雜性不斷增加，各組織機構主導這些人工智慧驅動的洞察來確定風險優先順序、加快事件回應速度，並增強自身安全態勢，抵禦不斷演變的威脅。

根據歐盟網路安全局 (ENISA) 的說法，到 2024 年，即時人工智慧驅動的網路威脅情報平台將有助於將關鍵產業偵測惡意活動的平均時間縮短 42%。

網路攻擊的複雜性和頻率日益增加

網路攻擊的複雜性和數量不斷增加，推動了對人工智慧驅動的網路威脅情報解決方案的需求。企業面臨進階持續性威脅、勒索軟體和網路釣魚宣傳活動，而傳統的安全工具難以即時偵測到這些威脅。基於人工智慧的平台利用機器學習、行為分析和威脅關聯技術，主動識別漏洞並快速回應。此外，監管要求和資料保護規定也迫使企業部署自動化和預測性安全解決方案，因此，人工智慧驅動的威脅情報已成為降低不斷演變的網路風險的關鍵投資。

網路安全和人工智慧專業人才短缺

企業往往難以有效部署、管理和解讀人工智慧驅動的威脅情報系統，這減緩了系統的採用速度並降低了營運效率。此外，高昂的招募成本和繁重的培訓要求也限制了中小企業採用先進解決方案的能力。這種人才缺口阻礙了基於人工智慧的安全措施的擴充性，因此，人才培養和與專業服務提供者合作對於市場發展至關重要。

利用雲端基礎中小企業市場

雲端基礎的訂閱模式降低了前期投資門檻，使中小企業也能使用以往只有大型企業才能獲得的先進預測性安全工具。此外，此擴充性解決方案具備自動化威脅偵測和彙報功能，即使是內部 IT 團隊有限的企業也能快速部署。策略夥伴關係和教育宣傳活動進一步推動了應用，使供應商能夠拓展基本客群，同時從以往服務不足的細分市場中建立長期穩定的收入來源。

與傳統安全解決方案競爭

儘管人工智慧驅動的威脅情報取得了長足進步，但防火牆、防毒軟體和入侵偵測系統等傳統網路安全解決方案仍然是強而有力的競爭對手。許多組織由於現有合約、對可靠性的認知或較低的前期成本而依賴熟悉的工具。此外，對變革的抵觸、整合方面的挑戰以及對人工智慧能力的認知不足也會延緩其普及。現有供應商提供的傳統產品凸顯了基於人工智慧的平台需要展現可衡量的投資報酬率、卓越的準確性和快速的反應速度，才能確保市場佔有率。

新冠疫情的影響：

新冠疫情加速了數位轉型和遠距辦公，也增加了企業面臨網路威脅的風險。隨著企業尋求即時監控、自動化威脅偵測和事件回應解決方案，對人工智慧驅動的網路威脅情報的需求激增。供應鏈漏洞和網路釣魚攻擊的增加凸顯了預測分析的重要性。此外，疫情期間的預算和資源限制促使一些企業優先考慮擴充性的雲端基礎人工智慧解決方案，從而加速了各行業的採用。總而言之，新冠疫情在全球強化了智慧網路安全工具的關鍵作用。

預計在預測期內，解決方案板塊將成為最大的板塊。

預計在預測期內，解決方案領域將佔據最大的市場佔有率，因為它提供從威脅識別到緩解的端到端功能。尋求效率、成本節約和高級分析的企業更青睞提供模組化和整合平台的供應商。此外，能夠實現預測性監控和自動化回應的解決方案可以應對日益複雜的網路威脅並降低營運風險。各垂直行業的高採用率、已證實的投資回報率以及全球範圍內不斷成長的網路安全法規合規需求，都進一步鞏固了該領域的領先地位。

預計在預測期內，雲端基礎的細分市場將以最高的複合年成長率成長。

由於初始成本較低、易於擴充性且部署快捷，預計在預測期內，雲端基礎的細分市場將實現最高的成長率。雲端基礎的AI威脅情報使企業無需龐大的本地基礎設施即可存取進階分析、即時更新和全球威脅情報來源。此外，訂閱式定價模式緩解了預算限制，尤其對中小企業而言更是如此。與雲端原生平台的整合以及遠端辦公需求正在加速雲端技術的普及，使其成為成長最快的細分市場。供應商可從雲端傳輸中獲得經常性收入和廣泛的地域覆蓋。

比最大的地區

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其成熟的網路安全環境、人工智慧技術的高度普及以及嚴格的監管合規要求。企業正大力投資預測性安全解決方案，以保護其關鍵基礎設施、資料和智慧財產權。完善的供應商生態系統、強大的研發能力和穩健的IT基礎設施進一步鞏固了該地區的優勢。此外，日益成長的網路威脅、意識提升以及政府舉措，正在推動北美各行業大規模部署人工智慧驅動的威脅情報。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於數位化的提高、 IT基礎設施的擴展以及人們對網路安全風險意識的增強。政府措施、中小企業對人工智慧解決方案的日益普及以及網路普及率的提高，都在推動人工智慧解決方案的部署。此外，國際供應商和本地新興企業都在採用符合區域需求的、經濟高效的雲端基礎平台。經濟成長、技術應用以及網路安全事件的增加，共同推動亞太地區成為成長最快的市場。

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目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球人工智慧驅動的網路威脅情報市場（按組件分類）

  • 解決方案
    • 威脅情報平台（TIP）
    • 安全資訊與事件管理 (SIEM) 系統
    • 端點檢測與響應 (EDR)
  • 服務
    • 託管偵測與回應 (MDR)
    • 諮詢和整合服務

6. 全球人工智慧賦能網路威脅情報市場依部署方式分類

  • 本地部署
  • 雲端基礎的

7. 全球人工智慧賦能網路威脅情報市場（依組織規模分類）

  • 小型企業
  • 主要企業

8. 全球人工智慧驅動的網路威脅情報市場（按應用分類）

  • 安全分析
  • 安全和漏洞管理
  • 事件回應、取證
  • 風險與合規管理
  • 詐騙偵測
  • 其他用途

9. 全球人工智慧驅動的網路威脅情報市場（依最終用戶分類）

  • 銀行、金融服務和保險 (BFSI)
  • 資訊科技/通訊
  • 政府/國防
  • 醫學與生命科​​學
  • 零售與電子商務
  • 能源與公用事業
  • 製造業
  • 其他最終用戶

第10章 由全球人工智慧驅動的網路威脅情報市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • Darktrace
  • CrowdStrike
  • Palo Alto Networks
  • Proofpoint
  • Vectra AI
  • Legit Security
  • Protect AI
  • SentinelOne
  • Anomali
  • Bitsight
  • Cyble
  • Hudson Rock
  • Digital Shadows
  • ReliaQuest
  • Fortinet
  • Safe Security
  • Nebulock
  • Dropla
  • Microsoft
  • IBM
Product Code: SMRC31917

According to Stratistics MRC, the Global AI-Powered Cyber Threat Intelligence Market is accounted for $2.1 billion in 2025 and is expected to reach $7.6 billion by 2032 growing at a CAGR of 19.8% during the forecast period. AI-powered cyber threat intelligence focuses on platforms that use AI to collect, analyze, and contextualize vast amounts of data on cyber threats. It transforms raw data into actionable intelligence, predicting attack vectors and identifying novel malware. This enables proactive defense rather than reactive responses. As cyber threats grow in volume and sophistication, organizations rely on these AI-driven insights to prioritize risks, accelerate incident response, and fortify their security posture against evolving threats.

According to ENISA (EU Agency for Cybersecurity), real-time AI-powered cyber threat intelligence platforms helped decrease mean time to detection for malicious activity by 42% across critical sectors during 2024.

Market Dynamics:

Driver:

Increasing sophistication and frequency of cyber attacks

The growing complexity and volume of cyber attacks are driving demand for AI-powered cyber threat intelligence solutions. Organizations face advanced persistent threats, ransomware, and phishing campaigns that traditional security tools struggle to detect in real time. AI-based platforms leverage machine learning, behavioral analytics, and threat correlation to proactively identify vulnerabilities and respond quickly. Furthermore, regulatory requirements and data protection mandates compel enterprises to adopt automated, predictive security solutions, positioning AI-powered threat intelligence as a critical investment for mitigating evolving cyber risks.

Restraint:

Shortage of skilled cybersecurity and AI professionals

Organizations often struggle to deploy, manage, and interpret AI-driven threat intelligence systems effectively, delaying adoption and reducing operational efficiency. Additionally, high recruitment costs and intensive training requirements limit smaller firms' ability to implement advanced solutions. This talent gap slows the scalability of AI-based security measures, making workforce development and partnerships with specialized service providers essential for market growth.

Opportunity:

Expansion into SME market through cloud-based solutions

Cloud-based and subscription-based models lower upfront investment barriers, providing SMEs access to advanced predictive security tools previously limited to large enterprises. Moreover, scalable solutions with automated threat detection and reporting cater to limited in-house IT teams, enabling rapid adoption. Strategic partnerships and education campaigns further enhance penetration, allowing vendors to expand their customer base while fostering long-term recurring revenue streams from a previously underrepresented segment.

Threat:

Competition from traditional security solutions

Despite advancements in AI-powered threat intelligence, traditional cybersecurity solutions such as firewalls, antivirus software, and intrusion detection systems continue to compete strongly. Many organizations rely on familiar tools due to existing contracts, perceived reliability, or lower upfront costs. Additionally, resistance to change, integration challenges, and limited awareness of AI capabilities may delay adoption. The presence of established vendors offering conventional products underscores the need for AI-based platforms to demonstrate measurable ROI, superior accuracy, and faster response times to secure market share.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital transformation and remote working, increasing organizations' exposure to cyber threats. Demand for AI-powered cyber threat intelligence surged as enterprises sought real-time monitoring, automated threat detection, and incident response solutions. Supply chain vulnerabilities and increased phishing attacks highlighted the importance of predictive analytics. Furthermore, budget constraints and resource limitations during the pandemic led some organizations to prioritize scalable cloud-based AI solutions, driving accelerated adoption across industries. Overall, Covid-19 reinforced the critical role of intelligent cybersecurity tools globally.

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

The solutions segment is expected to account for the largest market share during the forecast period as they provide end-to-end capabilities, from threat identification to mitigation. Vendors offering modular and integrated platforms are preferred by enterprises seeking efficiency, cost savings, and advanced analytics. Additionally, solutions address the growing complexity of cyber threats by enabling predictive monitoring and automated response, reducing operational risk. The segment's dominance is reinforced by high adoption across industries, proven ROI, and the increasing necessity for compliance with evolving cybersecurity regulations worldwide.

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

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate due to lower upfront costs, ease of scalability, and rapid implementation. Cloud-based AI threat intelligence enables organizations to access advanced analytics, real-time updates, and global threat feeds without heavy on-premise infrastructure. Furthermore, subscription-based pricing reduces budget constraints, particularly for SMEs. Integration with cloud-native platforms and remote work requirements accelerates adoption, positioning the segment for the highest growth. Vendors benefit from recurring revenue and broad geographic reach through cloud delivery.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to a mature cybersecurity landscape, high adoption of AI technologies, and stringent regulatory compliance requirements. Enterprises invest heavily in predictive security solutions to protect critical infrastructure, data, and intellectual property. Established vendor ecosystems, strong R&D capabilities, and robust IT infrastructure further reinforce regional dominance. Additionally, increasing cyber threats, corporate awareness, and government initiatives drive large-scale deployment of AI-powered threat intelligence across industries in North America.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to increasing digitalization, expanding IT infrastructure, and rising awareness of cybersecurity risks. Government initiatives, growing SME adoption, and rising internet penetration encourage deployment of AI-powered solutions. Furthermore, international vendors and local startups are introducing cost-effective, cloud-based platforms tailored to regional requirements. The combination of economic growth, technology adoption, and rising cybersecurity incidents positions Asia Pacific as the fastest-growing market.

Key players in the market

Some of the key players in AI-Powered Cyber Threat Intelligence Market include Darktrace, CrowdStrike, Palo Alto Networks, Proofpoint, Vectra AI, Legit Security, Protect AI, SentinelOne, Anomali, Bitsight, Cyble, Hudson Rock, Digital Shadows, ReliaQuest, Fortinet, Safe Security, Nebulock, Dropla, Microsoft, and IBM.

Key Developments:

In September 2025, Darktrace unveiled its Cyber AI platform, which combines multiple AI models to deliver unified, intelligent, and proactive defense, transforming cybersecurity by augmenting security teams and stopping novel threats.

In September 2025, CrowdStrike introduced Threat AI, the industry's first agentic threat intelligence system. This system comprises autonomous agents designed to reason across data, hunt for threats, and act decisively to automate and accelerate complex workflows.

In September 2025, Palo Alto Networks launched Precision AI, utilizing data from cloud, endpoint, and network sources to scale and automate cyber defense, enabling real-time detection, prevention, and resolution of alerts.

In September 2025, Legit Security introduced its AI-native Application Security Posture Management (ASPM) platform, automating the discovery, prioritization, and remediation of application security issues, particularly focusing on AI-generated code and software supply chain risks.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • On-premises
  • Cloud-based

Organization Sizes Covered:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Applications Covered:

  • Security Analytics
  • Security & Vulnerability Management
  • Incident Response & Forensics
  • Risk & Compliance Management
  • Fraud Detection
  • Other Applications

End Users Covered:

  • BFSI (Banking, Financial Services, and Insurance)
  • IT & Telecommunications
  • Government & Defense
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Energy & Utilities
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Powered Cyber Threat Intelligence Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Threat Intelligence Platforms (TIPs)
    • 5.2.2 Security Information and Event Management (SIEM) Systems
    • 5.2.3 Endpoint Detection and Response (EDR)
  • 5.3 Services
    • 5.3.1 Managed Detection and Response (MDR)
    • 5.3.2 Consulting and Integration Services

6 Global AI-Powered Cyber Threat Intelligence Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-premises
  • 6.3 Cloud-based

7 Global AI-Powered Cyber Threat Intelligence Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium-sized Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global AI-Powered Cyber Threat Intelligence Market, By Application

  • 8.1 Introduction
  • 8.2 Security Analytics
  • 8.3 Security & Vulnerability Management
  • 8.4 Incident Response & Forensics
  • 8.5 Risk & Compliance Management
  • 8.6 Fraud Detection
  • 8.7 Other Applications

9 Global AI-Powered Cyber Threat Intelligence Market, By End User

  • 9.1 Introduction
  • 9.2 BFSI (Banking, Financial Services, and Insurance)
  • 9.3 IT & Telecommunications
  • 9.4 Government & Defense
  • 9.5 Healthcare & Life Sciences
  • 9.6 Retail & E-commerce
  • 9.7 Energy & Utilities
  • 9.8 Manufacturing
  • 9.9 Other End Users

10 Global AI-Powered Cyber Threat Intelligence Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Darktrace
  • 12.2 CrowdStrike
  • 12.3 Palo Alto Networks
  • 12.4 Proofpoint
  • 12.5 Vectra AI
  • 12.6 Legit Security
  • 12.7 Protect AI
  • 12.8 SentinelOne
  • 12.9 Anomali
  • 12.10 Bitsight
  • 12.11 Cyble
  • 12.12 Hudson Rock
  • 12.13 Digital Shadows
  • 12.14 ReliaQuest
  • 12.15 Fortinet
  • 12.16 Safe Security
  • 12.17 Nebulock
  • 12.18 Dropla
  • 12.19 Microsoft
  • 12.20 IBM

List of Tables

  • Table 1 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Threat Intelligence Platforms (TIPs) (2024-2032) ($MN)
  • Table 5 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Security Information and Event Management (SIEM) Systems (2024-2032) ($MN)
  • Table 6 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Endpoint Detection and Response (EDR) (2024-2032) ($MN)
  • Table 7 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Services (2024-2032) ($MN)
  • Table 8 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Managed Detection and Response (MDR) (2024-2032) ($MN)
  • Table 9 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Consulting and Integration Services (2024-2032) ($MN)
  • Table 10 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 11 Global AI-Powered Cyber Threat Intelligence Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 12 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 13 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 14 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
  • Table 15 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 16 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Application (2024-2032) ($MN)
  • Table 17 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Security Analytics (2024-2032) ($MN)
  • Table 18 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Security & Vulnerability Management (2024-2032) ($MN)
  • Table 19 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Incident Response & Forensics (2024-2032) ($MN)
  • Table 20 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Risk & Compliance Management (2024-2032) ($MN)
  • Table 21 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Fraud Detection (2024-2032) ($MN)
  • Table 22 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 23 Global AI-Powered Cyber Threat Intelligence Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global AI-Powered Cyber Threat Intelligence Market Outlook, By BFSI (Banking, Financial Services, and Insurance) (2024-2032) ($MN)
  • Table 25 Global AI-Powered Cyber Threat Intelligence Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 26 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 27 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 28 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 29 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 30 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 31 Global AI-Powered Cyber Threat Intelligence Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.