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市场调查报告书
商品编码
1904730

网路安全领域人工智慧市场预测至2032年：按组件、安全类型、部署类型、组织规模、最终用户和地区分類的全球分析

AI in Cybersecurity Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Security Type, Deployment Mode, Organization Size, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球网路安全人工智慧 (AI) 市场规模将达到 307.8 亿美元，到 2032 年将达到 1451.7 亿美元，预测期内复合年增长率为 24.8%。

网路安全领域的人工智慧 (AI) 指的是应用机器学习、深度学习和数据分析技术来保护数位系统、网路和资料免受网路威胁。 AI 使安全解决方案能够自动侦测异常、识别恶意软体、预测潜在攻击并即时回应安全事件。透过分析大量安全数据，AI 可以提升威胁情报能力、减少误报并提高决策准确性。它支援行为分析、自动威胁搜寻和自适应安全控制等预防性防御机制，帮助组织增强其网路韧性，抵御不断演变且日益复杂的网路攻击。

日益复杂的网路攻击

企业面临日益复杂的威胁，包括进阶持续性攻击、勒索软体和人工智慧驱动的入侵。传统的防御机制已不足以应对，因此对智慧自适应安全解决方案的需求日益增长。人工智慧平台能够即时侦测、预测分析并自动回应不断演变的威胁。各国政府和企业都在大力投资人工智慧驱动的防御框架，以增强自身抵御能力。网路攻击手段的日益复杂化正在加速市场成长。

网路安全专业人员短缺

高阶网路安全专业人员的短缺仍然是人工智慧驱动型网路安全技术普及应用的一大障碍。企业难以招募和留住能够管理人工智慧驱动型防御系统的人才。这种技能缺口导致企业更加依赖外部顾问，并减缓了内部创新。培训和认证项目需要大量投资，增加了营运成本。小规模的组织在组建专门的人工智慧安全团队方面面临更大的挑战。儘管市场需求旺盛，但熟练专业人员的短缺阻碍了人工智慧在网路安全领域的广泛应用。

人工智慧驱动的自动化工具的兴起

人工智慧驱动的自动化工具的扩展正在为网路安全市场创造巨大的机会。自动化平台能够减少人工干预，提高威胁侦测和缓解的效率。人工智慧驱动的工具支援预测分析、异常检测和自适应防御策略。企业正在加速将自动化融入其工作流程，以增强韧性并降低成本。与云端生态系和物联网平台的整合进一步推动了自动化技术的应用。人工智慧驱动的自动化工具的扩展正在为网路安全领域的人工智慧市场带来显着的成长机会。

资料隐私和监管合规风险

资料隐私和监管合规风险正在阻碍人工智慧在网路安全领域的应用。各国政府对资料处理、监控和报告的要求日益严格。企业因合规审核和消费者保护要求而面临不断上涨的成本。频繁的政策变化也为长期投资计画带来了不确定性。与大型企业相比，小规模企业更难适应复杂的法规结构。资料隐私和合规风险正在抑制市场信心，并威胁永续成长。

新冠疫情的感染疾病：

新冠疫情加速了网路安全领域对人工智慧的需求，因为企业纷纷转向远距办公和数位化优先策略。儘管预算限制延缓了一些大规模部署，但针对远端员工和云端平台的网路攻击激增推动了人工智慧的普及。疫情期间，企业利用人工智慧驱动的防御系统来应对网路钓鱼、勒索软体和内部威胁。这场危机凸显了建构具有韧性的数位生态系统和自动化防御框架的重要性。总而言之，新冠疫情强化了人工智慧在网路安全领域的重要性，使其成为支持企业韧性的策略要素。

预计在预测期内，网路安全领域将占据最大的市场份额。

在预测期内，网路安全领域预计将占据最大的市场份额，这主要得益于企业对即时监控、入侵侦测和自适应防御等技术在网路领域的应用需求。网路安全平台能够帮助企业保护关键基础设施和敏感资料。企业正依靠人工智慧驱动的系统来增强自身抵御不断演变的网路威胁的能力。全球范围内日益增长的数位化应用正在推动对可扩展网路安全的需求。与云端和物联网生态系统的整合将进一步促进这项需求。

预计在预测期内，医疗保健和生命科学领域将实现最高的复合年增长率。

预计在预测期内，医疗保健和生命科学领域将实现最高增长率，这主要得益于对安全管理患者记录和医学研究数据的需求不断增长。医疗机构需要先进的人工智慧驱动框架来遵守诸如 HIPAA 等严格法规。基因组学、远端医疗和临床试验领域的巨量资料平台正在推动人工智慧安全解决方案的普及。对数位医疗领域的投资不断增加，也强化了对强大防御系统的需求。人工智慧驱动的分析技术在医疗保健领域的应用，进一步提升了对安全基础设施的需求。随着医疗保健和生命科学领域数位化的加速，人工智慧在网路安全领域的应用正在推动市场成长。

占比最大的地区：

由于北美地区拥有先进的IT基础设施、健全的法规结构以及对人工智慧驱动型网路安全解决方案的早期应用，预计该地区将在预测期内占据最大的市场份额。主要技术提供者的存在和成熟的数位生态系统为大规模应用提供了支援。监管机构对合规性和隐私的关注正在推动对强大的AI防御平台的投资。北美企业在其数据驱动型营运中优先考虑韧性和客户信任。对安全云和物联网生态系统的高需求进一步推动了应用。

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，这主要得益于新兴经济体快速的工业化进程、不断扩展的数位生态系统以及政府主导的网路安全措施。中国、印度和东南亚等国家正大力投资人工智慧驱动的国防基础建设。对电子商务、金融科技和医疗保健创新日益增长的需求正在推动先进人工智慧安全解决方案的普及。当地企业正在采用经济高效的平台来满足其不断增长的数位化需求。不断扩展的数位生态系统正在强化人工智慧在企业现代化进程中的作用。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 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
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球网路安全领域人工智慧市场（按组件划分）

  • 解决方案
    • 威胁情报与分析
    • 身分和存取管理 (IAM)
    • 安全资讯和事件管理 (SIEM)
    • 扩展检测和响应 (XDR)
  • 服务
    • 咨询顾问
    • 整合与实施
    • 资安管理服务
    • 培训、支援和维护

6. 全球网路安全领域人工智慧市场（依安全类型划分）

  • 网路安全
  • 应用程式安全
  • 端点安全
  • 云端安全
  • 资料和身分安全
  • 其他安全类型

7. 全球网路安全人工智慧市场按部署类型划分

  • 本地部署
  • 基于云端的

第八章：按组织规模分類的全球网路安全人工智慧市场

  • 中小企业
  • 大公司

9. 全球网路安全领域人工智慧市场（按最终用户划分）

  • 资讯科技与通讯
  • 银行、金融服务和保险（BFSI）
  • 医疗保健和生命科学
  • 零售与电子商务
  • 製造业和工业
  • 政府/公共部门
  • 能源与公共产业
  • 其他最终用户

第十章：全球网路安全人工智慧市场区域划分

  • 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
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 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 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • Cisco Systems, Inc.
  • Palo Alto Networks, Inc.
  • Fortinet, Inc.
  • Check Point Software Technologies Ltd.
  • CrowdStrike Holdings, Inc.
  • Darktrace Holdings Limited
  • FireEye, Inc.（Trellix）
  • Splunk Inc.
  • Rapid7, Inc.
  • SentinelOne, Inc.
  • Trend Micro Incorporated
Product Code: SMRC33010

According to Stratistics MRC, the Global AI in Cybersecurity Market is accounted for $30.78 billion in 2025 and is expected to reach $145.17 billion by 2032 growing at a CAGR of 24.8% during the forecast period. Artificial Intelligence (AI) in cybersecurity refers to the application of machine learning, deep learning, and data analytics techniques to protect digital systems, networks, and data from cyber threats. AI enables security solutions to automatically detect anomalies, identify malware, predict potential attacks, and respond to incidents in real time. By analyzing large volumes of security data, AI improves threat intelligence, reduces false positives, and enhances decision-making accuracy. It supports proactive defense mechanisms such as behavioral analysis, automated threat hunting, and adaptive security controls, helping organizations strengthen their cyber resilience against evolving and sophisticated cyberattacks.

Market Dynamics:

Driver:

Rising sophistication of cyberattacks

Enterprises face increasingly complex threats such as advanced persistent attacks, ransomware, and AI-driven intrusions. Traditional defense mechanisms are insufficient, driving demand for intelligent, adaptive security solutions. AI-powered platforms enable real-time detection, predictive analytics, and automated response to evolving threats. Governments and enterprises are investing heavily in AI-driven defense frameworks to strengthen resilience. Rising sophistication of cyberattacks is propelling growth in the market.

Restraint:

Shortage of skilled cybersecurity professionals

The shortage of skilled cybersecurity professionals remains a significant restraint for AI in cybersecurity adoption. Enterprises struggle to recruit and retain talent capable of managing AI-driven defense systems. This skills gap increases reliance on external consultants and slows internal innovation. Training and certification programs require substantial investment, adding to operational costs. Smaller organizations face greater challenges in building dedicated AI security teams. Shortage of skilled professionals is restraining widespread adoption of AI in cybersecurity despite strong demand.

Opportunity:

Expansion of AI-driven automation tools

Expansion of AI-driven automation tools is creating strong opportunities for the cybersecurity market. Automated platforms reduce manual intervention and improve efficiency in detecting and mitigating threats. AI-driven tools enable predictive analytics, anomaly detection, and adaptive defense strategies. Enterprises are increasingly embedding automation into workflows to strengthen resilience and reduce costs. Integration with cloud ecosystems and IoT platforms further amplifies adoption. Expansion of AI-driven automation tools is fostering significant growth opportunities in the AI in cybersecurity market.

Threat:

Data privacy and regulatory compliance risks

Data privacy and regulatory compliance risks are slowing adoption of AI in cybersecurity. Governments are imposing stricter mandates on data handling, monitoring, and reporting. Enterprises face rising costs due to compliance audits and consumer protection requirements. Frequent policy changes create uncertainty for long-term investment planning. Smaller organizations struggle to adapt to complex regulatory frameworks compared to larger players. Data privacy and compliance risks are restraining confidence and threatening consistent growth in the market.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for AI in cybersecurity as enterprises shifted to remote work and digital-first strategies. On one hand, budget constraints delayed some large-scale deployments. On the other hand, surging cyberattacks targeting remote employees and cloud platforms boosted adoption. Enterprises leveraged AI-driven defense systems to manage phishing, ransomware, and insider threats during the pandemic. The crisis reinforced the importance of resilient digital ecosystems and automated defense frameworks. Overall, Covid-19 boosted awareness of AI in cybersecurity as a strategic enabler of enterprise resilience.

The network security segment is expected to be the largest during the forecast period

The network security segment is expected to account for the largest market share during the forecast period driven by demand for real-time monitoring, intrusion detection, and adaptive defense across enterprise networks. Network security platforms enable organizations to safeguard critical infrastructure and sensitive data. Enterprises rely on AI-driven systems to strengthen resilience against evolving cyber threats. Demand for scalable network security is rising as digital adoption expands globally. Integration with cloud and IoT ecosystems further strengthens adoption.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate supported by rising demand for secure management of patient records and medical research data. Healthcare organizations require advanced AI-driven frameworks to comply with strict regulations such as HIPAA. Big data platforms in genomics, telemedicine, and clinical trials are driving adoption of AI security solutions. Rising investment in digital health initiatives is reinforcing demand for robust defense systems. Integration of AI-driven analytics in healthcare further amplifies the need for secure infrastructures. As healthcare and life sciences accelerate digital adoption AI in cybersecurity is propelling growth in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by advanced IT infrastructure strong regulatory frameworks and early adoption of AI-driven cybersecurity solutions. The presence of leading technology providers and mature digital ecosystems supports large-scale deployments. Regulatory emphasis on compliance and privacy drives investment in robust AI defense platforms. Enterprises in North America prioritize resilience and customer trust in data-driven operations. High demand for secure cloud and IoT ecosystems further strengthens adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization expanding digital ecosystems and government-led cybersecurity initiatives across emerging economies. Countries such as China, India, and Southeast Asia are investing heavily in AI-driven defense infrastructures. Rising demand for e-commerce, fintech, and healthcare innovation strengthens adoption of advanced AI security solutions. Local enterprises are deploying cost-effective platforms to meet growing digital needs. Expanding digital ecosystems are reinforcing the role of AI in enterprise modernization.

Key players in the market

Some of the key players in AI in Cybersecurity Market include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc., Google LLC, Cisco Systems, Inc., Palo Alto Networks, Inc., Fortinet, Inc., Check Point Software Technologies Ltd., CrowdStrike Holdings, Inc., Darktrace Holdings Limited, FireEye, Inc. (Trellix), Splunk Inc., Rapid7, Inc., SentinelOne, Inc. and Trend Micro Incorporated.

Key Developments:

In June 2024, Google announced a strategic partnership with Wiz to integrate its cloud security posture management (CSPM) technology directly into Google's security operations platform. This collaboration aims to provide customers with a unified view of risks and AI-powered remediation across their cloud environments.

In November 2023, AWS and Splunk announced a strategic partnership to co-develop AI and cybersecurity solutions, integrating Splunk's security analytics with AWS's AI services like Amazon Bedrock. This collaboration aims to help enterprises better detect and respond to threats using generative AI.

Components Covered:

  • Solutions
  • Services

Security Types Covered:

  • Network Security
  • Application Security
  • Endpoint Security
  • Cloud Security
  • Data & Identity Security
  • Other Security Types

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Information Technology & Telecom
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing & Industrial
  • Government & Public Sector
  • Energy & Utilities
  • 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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 in Cybersecurity Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Threat Intelligence & Analytics
    • 5.2.2 Identity & Access Management (IAM)
    • 5.2.3 Security Information & Event Management (SIEM)
    • 5.2.4 Extended Detection & Response (XDR)
  • 5.3 Services
    • 5.3.1 Consulting & Advisory
    • 5.3.2 Integration & Deployment
    • 5.3.3 Managed Security Services
    • 5.3.4 Training, Support & Maintenance

6 Global AI in Cybersecurity Market, By Security Type

  • 6.1 Introduction
  • 6.2 Network Security
  • 6.3 Application Security
  • 6.4 Endpoint Security
  • 6.5 Cloud Security
  • 6.6 Data & Identity Security
  • 6.7 Other Security Types

7 Global AI in Cybersecurity Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global AI in Cybersecurity Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small & Medium Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global AI in Cybersecurity Market, By End User

  • 9.1 Introduction
  • 9.2 Information Technology & Telecom
  • 9.3 Banking, Financial Services & Insurance (BFSI)
  • 9.4 Healthcare & Life Sciences
  • 9.5 Retail & E-commerce
  • 9.6 Manufacturing & Industrial
  • 9.7 Government & Public Sector
  • 9.8 Energy & Utilities
  • 9.9 Other End Users

10 Global AI in Cybersecurity 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 IBM Corporation
  • 12.2 Microsoft Corporation
  • 12.3 Amazon Web Services, Inc.
  • 12.4 Google LLC
  • 12.5 Cisco Systems, Inc.
  • 12.6 Palo Alto Networks, Inc.
  • 12.7 Fortinet, Inc.
  • 12.8 Check Point Software Technologies Ltd.
  • 12.9 CrowdStrike Holdings, Inc.
  • 12.10 Darktrace Holdings Limited
  • 12.11 FireEye, Inc. (Trellix)
  • 12.12 Splunk Inc.
  • 12.13 Rapid7, Inc.
  • 12.14 SentinelOne, Inc.
  • 12.15 Trend Micro Incorporated

List of Tables

  • Table 1 Global AI in Cybersecurity Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Cybersecurity Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Cybersecurity Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI in Cybersecurity Market Outlook, By Threat Intelligence & Analytics (2024-2032) ($MN)
  • Table 5 Global AI in Cybersecurity Market Outlook, By Identity & Access Management (IAM) (2024-2032) ($MN)
  • Table 6 Global AI in Cybersecurity Market Outlook, By Security Information & Event Management (SIEM) (2024-2032) ($MN)
  • Table 7 Global AI in Cybersecurity Market Outlook, By Extended Detection & Response (XDR) (2024-2032) ($MN)
  • Table 8 Global AI in Cybersecurity Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global AI in Cybersecurity Market Outlook, By Consulting & Advisory (2024-2032) ($MN)
  • Table 10 Global AI in Cybersecurity Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 11 Global AI in Cybersecurity Market Outlook, By Managed Security Services (2024-2032) ($MN)
  • Table 12 Global AI in Cybersecurity Market Outlook, By Training, Support & Maintenance (2024-2032) ($MN)
  • Table 13 Global AI in Cybersecurity Market Outlook, By Security Type (2024-2032) ($MN)
  • Table 14 Global AI in Cybersecurity Market Outlook, By Network Security (2024-2032) ($MN)
  • Table 15 Global AI in Cybersecurity Market Outlook, By Application Security (2024-2032) ($MN)
  • Table 16 Global AI in Cybersecurity Market Outlook, By Endpoint Security (2024-2032) ($MN)
  • Table 17 Global AI in Cybersecurity Market Outlook, By Cloud Security (2024-2032) ($MN)
  • Table 18 Global AI in Cybersecurity Market Outlook, By Data & Identity Security (2024-2032) ($MN)
  • Table 19 Global AI in Cybersecurity Market Outlook, By Other Security Types (2024-2032) ($MN)
  • Table 20 Global AI in Cybersecurity Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 21 Global AI in Cybersecurity Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 22 Global AI in Cybersecurity Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 23 Global AI in Cybersecurity Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 24 Global AI in Cybersecurity Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 25 Global AI in Cybersecurity Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 26 Global AI in Cybersecurity Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global AI in Cybersecurity Market Outlook, By Information Technology & Telecom (2024-2032) ($MN)
  • Table 28 Global AI in Cybersecurity Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 29 Global AI in Cybersecurity Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global AI in Cybersecurity Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 31 Global AI in Cybersecurity Market Outlook, By Manufacturing & Industrial (2024-2032) ($MN)
  • Table 32 Global AI in Cybersecurity Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 33 Global AI in Cybersecurity Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 34 Global AI in Cybersecurity Market Outlook, By Other End Users (2024-2032) ($MN)

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