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市场调查报告书
商品编码
1880526

网路风险量化市场预测至 2032 年：按组件、风险类型、部署方式、组织规模、最终用户和地区分類的全球分析

Cyber Risk Quantification Market Forecasts to 2032 - Global Analysis By Component (Platforms, Services, Consulting and Analytics Tools), Risk Type, Deployment, Organization Size, 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 的一项研究，全球网路风险量化市场预计在 2025 年达到 3.7 亿美元，预计到 2032 年将达到 8 亿美元，在预测期内的复合年增长率为 11.3%。

网路风险量化是一个系统化的过程，它透过分析模型评估网路威胁并估算潜在的财务损失。它以清晰、量化的方式表达安全漏洞的影响，而非依赖主观评估。这种方法使组织能够识别关键弱点、管理风险优先顺序并更有效地分配网路安全预算。透过将技术问题转化为与业务相关的洞察，它改善了与经营团队的沟通，并有助于遵守。风险量化也能够模拟各种攻击场景，帮助企业评估预期结果并衡量控制措施的有效性。最终，它使组织能够做出明智的决策，并将网路安全策略与更广泛的业务目标保持一致。

根据普华永道发布的《2025 年全球数位信任洞察》调查，数据显示，只有 15% 的组织对网路风险进行任何实质性的衡量，这凸显了儘管董事会层面的需求不断增长，但在量化实践方面仍存在巨大差距。

网路攻击的频率和复杂性都在增加。

网路威胁日益频繁且手段愈加复杂，推动了网路风险量化解决方案的快速普及。勒索软体、多向量入侵、供应链漏洞和人工智慧攻击等现代攻击手段，使得传统的定性方法难以评估组织的真实财务风险。不断扩展的数位化环境，包括云端平台、混合办公模式和物联网生态系统，进一步加剧了不确定性。量化平台能够对资料窃取、停机、系统故障、勒索等风险进行清晰的货币估算。随着威胁行为者能力的提升和攻击标靶化的日益精准，各组织越来越依赖详细的量化模型来确定控制措施的优先顺序、改进决策，并获得经营团队核准以增加网路安全预算。

难以获得高品质数据

网路风险量化应用的一大障碍是缺乏全面可靠的数据，而这些数据对于可靠的财务影响评估至关重要。许多组织缺乏详细的网路事件历史记录、成本细分和标准化的报告流程，这限制了有效模型的开发。复杂的IT环境、旧有系统和孤立的基础设施会造成额外的数据不一致，从而降低量化的准确性。严格的隐私和资料保护法规也限制了对精确建模所需敏感资讯的存取。如果没有一致且高品质的输入数据，量化平台就无法准确预测机率和财务损失。因此，企业可能会质疑结果的可靠性，并犹豫是否依赖量化工具进行策略决策。

人工智慧驱动的自动化风险建模的扩展

自动化、人工智慧驱动的风险模型为网路风险量化市场带来了巨大的成长机会。随着对更快、更可靠评估的需求不断增长，人工智慧能够处理复杂的资料集，识别威胁行为，并产生更准确的财务风险评估。自动化降低了对稀缺的网路安全和分析专家的依赖，从而减轻了整体营运负担。机器学习系统会利用更新的威胁情报不断改进其运算，确保一致的准确性。这为企业提供了即时、适应性的风险指标，从而增强了主动防御措施。随着人工智慧能力的提升，量化平台将变得更加扩充性、经济实惠，并在各行业中广泛应用。

网路威胁情势瞬息万变

网路风险量化市场面临的一大威胁是，网路威胁的演变速度远远超过现有量化模型的适应能力。诸如人工智慧驱动的入侵、深度造假伪造技术以及多层供应链入侵等新型攻击手段，可能无法被过时的框架准确捕捉。随着网路犯罪分子不断创新，模型的准确性可能会下降，导致企业对财务风险评估失去信心。使用静态或更新频率低的模型的公司，可能会错误计算风险敞口，并造成危险的风险盲点。这种波动性迫使供应商不断升级其工具，整合即时威胁情报，并建立高度自适应的建模系统，以确保在动态威胁环境中持续可靠地运作。

新冠疫情的感染疾病：

新冠疫情加速了数位化依赖，使企业面临更高的网路风险，从而有力地推动了网路风险量化市场的发展。随着远距办公扩大了攻击面，勒索软体、凭证窃取和云端入侵等事件激增，迫使企业寻求更准确地衡量其财务风险的方法。在不断变化的威胁环境下，定性方法已不足以应对，促使经营团队在预算限制下转向量化分析，以做出更清晰的决策。这些工具能够帮助评估损失情境、确定应对措施的优先级，并验证投资价值。因此，新冠疫情已将量化分析从可有可无的辅助手段提升为现代网路安全战略的关键组成部分。

预计在预测期内，金融风险将占据最大的市场份额。

预计在预测期内，财务风险领域将占据最大的市场份额，这主要得益于企业日益重视评估网路威胁的财务影响。企业需要准确指南资料外洩相关成本、勒索软体影响、业务中断以及事件后復原成本，以指导策略支出。量化平台可以将技术风险转化为财务洞察，帮助经营团队做出明智且符合预算的决策。随着董事会越来越重视网路安全专案的财务课责，企业依靠模型来预测潜在损失，并将风险等级与缓解措施投资进行比较。这种对经济透明度和可衡量结果的高度重视，使得财务风险成为量化工作的关键领域。

预计在预测期内，云端基础市场将实现最高的复合年增长率。

预计在预测期内，云端基础方案将实现最高成长率，这主要得益于企业采用云端优先策略以及对更具适应性的安全工具的需求。云端基础量化解决方案具有部署快速、营运成本更低以及与现代云端基础设施相容性更佳等优势。随着企业对多重云端环境的依赖日益加深，他们需要能够跨越多个且快速变化的环境评估风险的平台。云端系统提供自动更新、可扩展的分析功能以及对集体威胁情报的持续访问，从而提升了准确性和响应速度。这些优势使得云端部署比传统部署更具吸引力，加速了普及性。因此，云端基础方案有望成为市场中成长最快的领域。

占比最大的地区：

预计在预测期内，北美将占据最大的市场份额，这主要得益于其先进的网路安全生态系统、主要企业以及严格的法规环境。尤其是美国，凭藉其在量化技术、风险评估和核保方面的强劲创新，拥有显着的影响力。该地区的大型企业正将财务风险评估置于优先地位，从而推动了对量化平台的需求。此外，该地区强大的威胁情报能力，以及在网路风险建模和董事会层级报告方面的大量投资，进一步促进了量化平台的应用。这种战略重点已使北美成为全球网路风险量化的标竿。

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。这一快速成长主要得益于中国、印度和日本等经济体的数位转型加速，以及由此带来的网路威胁风险增加。该地区的组织机构正在迅速采用云端基础的、以量化为重点的平台，以即时监控和评估风险。同时，日益完善的网路安全法规和国家网路韧性策略也进一步推动了市场需求。随着组织机构现代化数位化的不断提高，亚太地区有望主导网路风险量化工具的市场扩张。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

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. 全球网路风险量化市场（依组件划分）

  • 介绍
  • 平台
  • 服务
  • 咨询
  • 分析工具

6. 全球网路风险量化市场（依风险类型划分）

  • 介绍
  • 金融风险
  • 操作风险
  • 声誉风险
  • 合规风险

7. 全球网路风险量化市场（依部署方式划分）

  • 介绍
  • 本地部署
  • 云端基础的
  • 杂交种

8. 全球网路风险量化市场（依组织规模划分）

  • 介绍
  • 小型企业
  • 大公司

9. 全球网路风险量化市场（依最终用户划分）

  • 介绍
  • 银行、金融服务和保险（BFSI）
  • 卫生保健
  • 通讯
  • 企业IT和数位服务
  • 活力
  • 製造业
  • 政府

10. 全球网路风险量化市场（依地区划分）

  • 介绍
  • 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 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • Bitsight Technologies Inc.
  • SecurityScorecard Inc.
  • RiskLens Inc.
  • CyberCube Analytics Inc.
  • Safe Security Inc.
  • Balbix, Inc.
  • Kovrr
  • Oliver Wyman Inc.
  • PwC（PricewaterhouseCoopers）
  • Protiviti Inc.
  • IBM
  • Optiv Security Inc.
  • ISACA
  • Axio Global
  • KPMG
Product Code: SMRC32548

According to Stratistics MRC, the Global Cyber Risk Quantification Market is accounted for $0.37 billion in 2025 and is expected to reach $0.80 billion by 2032 growing at a CAGR of 11.3% during the forecast period. Cyber Risk Quantification is a disciplined process that evaluates cyber threats by estimating their potential financial losses through analytical models. Instead of relying on subjective ratings, it provides clear numerical values to represent the impact of security breaches. This approach helps organizations identify critical weaknesses, manage risk priorities, and distribute cybersecurity budgets more effectively. By converting technical issues into business-relevant insights, it improves communication with executives and supports regulatory compliance. Risk quantification also enables simulation of diverse attack scenarios, helping firms gauge probable outcomes and measure control performance. Ultimately, it empowers organizations to make informed decisions and align cybersecurity strategies with broader business objectives.

According to PwC's Global Digital Trust Insights 2025 survey, data reveals that only 15% of organizations are measuring cyber risk to a significant extent, highlighting a major gap in quantification practices despite rising board-level demand.

Market Dynamics:

Driver:

Rising frequency & sophistication of cyberattacks

Growing cyber threats, both in frequency and sophistication are driving rapid adoption of Cyber Risk Quantification solutions. Modern attacks-ransomware, multi-vector intrusions, supply-chain compromises, and AI-powered exploits-make it difficult for organizations to evaluate their true financial exposure using traditional qualitative methods. Expanding digital environments, including cloud platforms, hybrid workforces, and IoT ecosystems, further amplify uncertainties. Quantification platforms offer clear monetary estimates for data theft, downtime, system disruption, and extortion. As threat actors become more capable and targeted, organizations increasingly depend on detailed quantification models to prioritize controls, improve decision-making, and obtain executive approval for enhanced cybersecurity budgets.

Restraint:

Limited availability of high-quality data

A key barrier to Cyber Risk Quantification adoption is the scarcity of comprehensive, trustworthy data essential for producing dependable financial impact assessments. Many organizations lack detailed cyber incident histories, cost breakdowns, or standardized reporting practices, restricting effective model development. Complex IT setups, legacy systems, and siloed infrastructures create additional data inconsistencies that reduce quantification accuracy. Strict privacy and data protection rules also limit access to sensitive information needed for precise modeling. Without consistent, high-quality inputs, quantification platforms cannot confidently predict probabilities or financial losses. Consequently, companies may question the credibility of results and become reluctant to rely on quantification tools for strategic decisions.

Opportunity:

Expansion of AI-driven and automated risk modeling

AI-enabled and automated risk models present a major growth opportunity for the Cyber Risk Quantification Market. With increasing demand for faster, more reliable assessments, AI can process complex datasets, identify threat behaviors, and produce financial risk estimates with improved precision. Automation helps reduce reliance on scarce cybersecurity and analytics specialists, lowering overall operational burdens. Machine learning systems refine calculations continuously using updated threat feeds, ensuring consistent accuracy. This allows organizations to obtain real-time, adaptive risk metrics that strengthen proactive planning. As AI capabilities advance, quantification platforms will become more scalable, affordable, and widely adopted across industries.

Threat:

Rapidly evolving cyber threat landscape

One significant threat to the Cyber Risk Quantification Market is the speed at which cyber threats evolve, often surpassing the adaptability of existing quantification models. New attack types-AI-enabled breaches, deepfake manipulation, and multi-layered supply-chain intrusions-may not be accurately captured by outdated frameworks. As cybercriminals innovate rapidly, model accuracy can decline, causing organizations to lose confidence in financial risk estimates. Companies using static or infrequently updated models may miscalculate exposure, creating dangerous blind spots. This volatility pressures vendors to consistently upgrade tools, incorporate real-time threat intelligence, and build highly adaptive modeling systems to ensure ongoing reliability in dynamic threat environments.

Covid-19 Impact:

The Covid-19 pandemic created strong momentum for the Cyber Risk Quantification Market by accelerating digital dependence and exposing organizations to higher levels of cyber risk. With remote work expanding attack surfaces, incidents such as ransomware, credential theft, and cloud intrusions grew sharply, forcing companies to seek more accurate ways to measure financial exposure. Qualitative methods proved inadequate in the shifting threat landscape, leading executives to favor quantification for clearer decision-making under budget constraints. These tools helped businesses evaluate loss scenarios, prioritize controls, and demonstrate investment value. As a result, Covid-19 elevated quantification from optional support to a critical component of modern cybersecurity strategies.

The financial risk segment is expected to be the largest during the forecast period

The financial risk segment is expected to account for the largest market share during the forecast period because enterprises focus heavily on assessing the monetary consequences of cyber threats. Organizations require precise estimates of breach-related costs, ransomware impacts, operational downtime, and post-incident recovery to guide strategic spending. Quantification platforms translate technical exposures into financial insights, enabling leadership teams to make informed, budget-aligned decisions. As boards increasingly push for financial accountability in cybersecurity programs, businesses depend on models that forecast potential losses and compare risk levels with mitigation investments. This strong focus on economic clarity and measurable outcomes positions the financial risk segment as the dominant area within quantification efforts.

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 as enterprises adopt cloud-first strategies and seek more adaptable security tools. Cloud-based quantification solutions deliver rapid setup, lower operational overhead, and better compatibility with modern cloud infrastructures. With businesses increasingly relying on multi-cloud ecosystems, they need platforms capable of evaluating risks across diverse, fast-changing environments. Cloud-enabled systems offer automated updates, scalable analytics, and continuous access to collective threat intelligence, enhancing accuracy and responsiveness. These advantages make cloud deployments more appealing than traditional setups, resulting in accelerated adoption and positioning the cloud-based segment as the fastest-growing area in this market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its advanced cybersecurity ecosystem, leading enterprises, and demanding regulatory environment. The United States is especially influential, backed by strong innovation in quantification technology, risk assessment, and insurance underwriting. Large organizations in this region prioritize translating risk into financial terms, which heightens demand for quantification platforms. The region's deep threat intelligence capabilities, combined with significant investments in cyber risk modeling and board-level reporting, further bolster adoption. This strategic focus establishes North America as the benchmark for cyber risk quantification globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This surge is driven by rapid digital transformation in economies like China, India, and Japan, and the corresponding increase in cyber threat exposure. Enterprises in the region are rapidly deploying cloud-based and quantification-focused platforms to monitor and measure their risk in real time. Meanwhile, tighter cybersecurity regulations and national strategies on cyber resilience bolster demand even more. As organizations modernize and digitize, Asia-Pacific is poised to lead the market expansion for cyber risk quantification tools.

Key players in the market

Some of the key players in Cyber Risk Quantification Market include Bitsight Technologies Inc., SecurityScorecard Inc., RiskLens Inc., CyberCube Analytics Inc., Safe Security Inc., Balbix, Inc., Kovrr, Oliver Wyman Inc., PwC (PricewaterhouseCoopers), Protiviti Inc., IBM, Optiv Security Inc., ISACA, Axio Global and KPMG.

Key Developments:

In November 2025, IBM and Atruvia AG have sealed a long-term collaboration that paves the way for sustainable and state-of-the-art IT platforms for the banking of tomorrow. Atruvia will use IBM z17, which was announced earlier this year, as a cornerstone support its mission critical operations including the core banking system.

In September 2025, SecurityScorecard Inc. disclosed that it recently acquired HyperComply Inc., a Canadian startup that offers an artificial intelligence-powered platform for security questionnaire automation and compliance management, for an undisclosed sum. Founded in 2019, HyperComply offers a platform that helps both sales and security teams respond to security questionnaires. The system combines machine learning and AI-assisted drafting with human verification to ensure answers are accurate while reducing the work and time needed.

In November 2024, BitSight Technologies, Inc. announced an agreement to acquire the cyber threat intelligence firm Cybersixgill for $115 million. Bitsight, a more than decade-old security rating company, aims to use the real-time intelligence collected by the Tel Aviv-based data firm to mitigate customer supply chain threats. Cybersixgill, formed in 2014 and formerly called Sixgill, looks at data from the deep and clear web, including chat groups, as well as underground criminal forums markets where specialized software is needed.

Components Covered:

  • Platforms
  • Services
  • Consulting
  • Analytics Tools

Risk Types Covered:

  • Financial Risk
  • Operational Risk
  • Reputational Risk
  • Compliance Risk

Deployments Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare
  • Telecommunications
  • Enterprise IT & Digital Services
  • Energy
  • Manufacturing
  • Government

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 Cyber Risk Quantification Market, By Component

  • 5.1 Introduction
  • 5.2 Platforms
  • 5.3 Services
  • 5.4 Consulting
  • 5.5 Analytics Tools

6 Global Cyber Risk Quantification Market, By Risk Type

  • 6.1 Introduction
  • 6.2 Financial Risk
  • 6.3 Operational Risk
  • 6.4 Reputational Risk
  • 6.5 Compliance Risk

7 Global Cyber Risk Quantification Market, By Deployment

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-Based
  • 7.4 Hybrid

8 Global Cyber Risk Quantification Market, By Organization Size

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

9 Global Cyber Risk Quantification Market, By End User

  • 9.1 Introduction
  • 9.2 Banking, Financial Services & Insurance (BFSI)
  • 9.3 Healthcare
  • 9.4 Telecommunications
  • 9.5 Enterprise IT & Digital Services
  • 9.6 Energy
  • 9.7 Manufacturing
  • 9.8 Government

10 Global Cyber Risk Quantification 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 Bitsight Technologies Inc.
  • 12.2 SecurityScorecard Inc.
  • 12.3 RiskLens Inc.
  • 12.4 CyberCube Analytics Inc.
  • 12.5 Safe Security Inc.
  • 12.6 Balbix, Inc.
  • 12.7 Kovrr
  • 12.8 Oliver Wyman Inc.
  • 12.9 PwC (PricewaterhouseCoopers)
  • 12.10 Protiviti Inc.
  • 12.11 IBM
  • 12.12 Optiv Security Inc.
  • 12.13 ISACA
  • 12.14 Axio Global
  • 12.15 KPMG

List of Tables

  • Table 1 Global Cyber Risk Quantification Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Cyber Risk Quantification Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Cyber Risk Quantification Market Outlook, By Platforms (2024-2032) ($MN)
  • Table 4 Global Cyber Risk Quantification Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Cyber Risk Quantification Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 6 Global Cyber Risk Quantification Market Outlook, By Analytics Tools (2024-2032) ($MN)
  • Table 7 Global Cyber Risk Quantification Market Outlook, By Risk Type (2024-2032) ($MN)
  • Table 8 Global Cyber Risk Quantification Market Outlook, By Financial Risk (2024-2032) ($MN)
  • Table 9 Global Cyber Risk Quantification Market Outlook, By Operational Risk (2024-2032) ($MN)
  • Table 10 Global Cyber Risk Quantification Market Outlook, By Reputational Risk (2024-2032) ($MN)
  • Table 11 Global Cyber Risk Quantification Market Outlook, By Compliance Risk (2024-2032) ($MN)
  • Table 12 Global Cyber Risk Quantification Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 13 Global Cyber Risk Quantification Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 14 Global Cyber Risk Quantification Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 15 Global Cyber Risk Quantification Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 16 Global Cyber Risk Quantification Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 17 Global Cyber Risk Quantification Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 18 Global Cyber Risk Quantification Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 19 Global Cyber Risk Quantification Market Outlook, By End User (2024-2032) ($MN)
  • Table 20 Global Cyber Risk Quantification Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 21 Global Cyber Risk Quantification Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 22 Global Cyber Risk Quantification Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 23 Global Cyber Risk Quantification Market Outlook, By Enterprise IT & Digital Services (2024-2032) ($MN)
  • Table 24 Global Cyber Risk Quantification Market Outlook, By Energy (2024-2032) ($MN)
  • Table 25 Global Cyber Risk Quantification Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 26 Global Cyber Risk Quantification Market Outlook, By Government (2024-2032) ($MN)

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