查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1857052

全球基于人工智慧的网路威胁情报市场：预测至 2032 年——按组件、部署类型、组织规模、应用、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧驱动的网路威胁情报市场预计到 2025 年将达到 21 亿美元，到 2032 年将达到 76 亿美元，预测期内复合年增长率为 19.8%。

人工智慧驱动的网路威胁情报专注于利用人工智慧收集、分析和关联海量网路威胁资料的平台。它将原始数据转化为可执行的情报，预测攻击途径，并识别新兴恶意软体，从而实现主动防御而非被动回应。随着网路威胁的数量和复杂性不断增加，各组织机构主导这些人工智慧驱动的洞察来确定风险优先顺序、加快事件回应速度，并增强自身安全态势，抵御不断演变的威胁。

根据欧盟网路安全局 (ENISA) 的说法，到 2024 年，即时人工智慧驱动的网路威胁情报平台将有助于将关键产业侦测恶意活动的平均时间缩短 42%。

网路攻击的复杂性和频率日益增加

网路攻击的复杂性和数量不断增加，推动了对人工智慧驱动的网路威胁情报解决方案的需求。企业面临进阶持续性威胁、勒索软体和网路钓鱼宣传活动，而传统的安全工具难以即时侦测到这些威胁。基于人工智慧的平台利用机器学习、行为分析和威胁关联技术，主动识别漏洞并快速回应。此外，监管要求和资料保护规定也迫使企业部署自动化和预测性安全解决方案，因此，人工智慧驱动的威胁情报已成为降低不断演变的网路风险的关键投资。

网路安全和人工智慧专业人才短缺

企业往往难以有效部署、管理和解读人工智慧驱动的威胁情报系统，这减缓了系统的采用速度并降低了营运效率。此外，高昂的招募成本和繁重的培训要求也限制了中小企业采用先进解决方案的能力。这种人才缺口阻碍了基于人工智慧的安全措施的扩充性，因此，人才培养和与专业服务提供者合作对于市场发展至关重要。

利用云端基础中小企业市场

云端基础的订阅模式降低了前期投资门槛，使中小企业也能使用以往只有大型企业才能获得的先进预测性安全工具。此外，此扩充性解决方案具备自动化威胁侦测和彙报功能，即使是内部 IT 团队有限的企业也能快速部署。策略伙伴关係和教育宣传活动进一步推动了应用，使供应商能够拓展基本客群，同时从以往服务不足的细分市场中建立长期稳定的收入来源。

与传统安全解决方案竞争

儘管人工智慧驱动的威胁情报取得了长足进步，但防火墙、防毒软体和入侵侦测系统等传统网路安全解决方案仍然是强而有力的竞争对手。许多组织由于现有合约、对可靠性的认知或较低的前期成本而依赖熟悉的工具。此外，对变革的抵触、整合方面的挑战以及对人工智慧能力的认知不足也会延缓其普及。现有供应商提供的传统产品凸显了基于人工智慧的平台需要展现可衡量的投资报酬率、卓越的准确性和快速的反应速度，才能确保市场占有率。

新冠疫情的影响：

新冠疫情加速了数位转型和远距办公，也增加了企业面临网路威胁的风险。随着企业寻求即时监控、自动化威胁侦测和事件回应解决方案，对人工智慧驱动的网路威胁情报的需求激增。供应链漏洞和网路钓鱼攻击的增加凸显了预测分析的重要性。此外，疫情期间的预算和资源限制促使一些企业优先考虑扩充性的云端基础人工智慧解决方案，从而加速了各行业的采用。总而言之，新冠疫情在全球强化了智慧网路安全工具的关键作用。

预计在预测期内，解决方案板块将成为最大的板块。

预计在预测期内，解决方案领域将占据最大的市场份额，因为它提供从威胁识别到缓解的端到端功能。寻求效率、成本节约和高级分析的企业更青睐提供模组化和整合平台的供应商。此外，能够实现预测性监控和自动化回应的解决方案可以应对日益复杂的网路威胁并降低营运风险。各垂直行业的高采用率、已证实的投资回报率以及全球范围内不断增长的网路安全法规合规需求，都进一步巩固了该领域的领先地位。

预计在预测期内，云端基础的细分市场将以最高的复合年增长率成长。

由于初始成本较低、易于扩充性且部署快捷，预计在预测期内，云端基础的细分市场将实现最高的成长率。云端基础的AI威胁情报使企业无需庞大的本地基础设施即可存取进阶分析、即时更新和全球威胁情报来源。此外，订阅式定价模式缓解了预算限制，尤其对中小企业而言更是如此。与云端原生平台的整合以及远端办公需求正在加速云端技术的普及，使其成为成长最快的细分市场。供应商可从云端传输中获得经常性收入和广泛的地域覆盖。

比最大的地区

在预测期内，北美预计将占据最大的市场份额，这主要得益于其成熟的网路安全环境、人工智慧技术的高度普及以及严格的监管合规要求。企业正大力投资预测性安全解决方案，以保护其关键基础设施、资料和智慧财产权。完善的供应商生态系统、强大的研发能力和稳健的IT基础设施进一步巩固了该地区的优势。此外，日益增长的网路威胁、意识提升以及政府倡议，正在推动北美各行业大规模部署人工智慧驱动的威胁情报。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于数位化的提高、 IT基础设施的扩展以及人们对网路安全风险意识的增强。政府措施、中小企业对人工智慧解决方案的日益普及以及网路普及率的提高，都在推动人工智慧解决方案的部署。此外，国际供应商和本地新兴企业都在采用符合区域需求的、经济高效的云端基础平台。经济成长、技术应用以及网路安全事件的增加，共同推动亚太地区成为成长最快的市场。

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球人工智慧驱动的网路威胁情报市场（按组件划分）

  • 解决方案
    • 威胁情报平台（TIP）
    • 安全资讯与事件管理 (SIEM) 系统
    • 端点检测与响应 (EDR)
  • 服务
    • 託管侦测与回应 (MDR)
    • 咨询和整合服务

6. 全球人工智慧赋能网路威胁情报市场依部署方式划分

  • 本地部署
  • 云端基础的

7. 全球人工智慧赋能网路威胁情报市场（依组织规模划分）

  • 小型企业
  • 大公司

8. 全球人工智慧驱动的网路威胁情报市场（按应用划分）

  • 安全分析
  • 安全和漏洞管理
  • 事件回应、取证
  • 风险与合规管理
  • 诈骗侦测
  • 其他用途

9. 全球人工智慧驱动的网路威胁情报市场（依最终用户划分）

  • 银行、金融服务和保险 (BFSI)
  • 资讯科技/通讯
  • 政府/国防
  • 医学与生命科​​学
  • 零售与电子商务
  • 能源与公用事业
  • 製造业
  • 其他最终用户

第十章 由全球人工智慧驱动的网路威胁情报市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：公司简介

  • 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.