Threat-Hunting Market By Offering-
Threat-Hunting Market By Threat Type-
Threat-Hunting Market By Deployment Mode-
Threat-Hunting Market By Organization Size-
Threat-Hunting Market By Vertical
Threat-Hunting Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Threat Hunting Market Snapshot
Chapter 4. Global Threat Hunting Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Threat Hunting Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Threat Hunting Industry Trends
Chapter 5. Threat Hunting Market Segmentation 1: By Threat Type, Estimates & Trend Analysis
5.1. Market Share by Threat Type, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Threat Type:
5.2.1. Advanced Persistent Threats (APTs)
5.2.2. Malware and Ransomware
5.2.3. Insider Threats
5.2.4. Phishing and Social Engineering
5.2.5. Others
Chapter 6. Threat Hunting Market Segmentation 2: By Deployment Mode, Estimates & Trend Analysis
6.1. Market Share by Deployment Mode, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Deployment Modes:
6.2.1. Cloud
6.2.2. On-Premises
Chapter 7. Threat Hunting Market Segmentation 3: By Organization Size, Estimates & Trend Analysis
7.1. Market Share by Organization Size, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Organization Sizes:
7.2.1. Preclinical Large Enterprises
7.2.2. SMEs
7.2.3. Vertical
7.2.4. BFSI
7.2.5. IT and ITeS
7.2.6. Government
7.2.7. Energy and Utilities
7.2.8. Manufacturing
7.2.9. Healthcare
7.2.10. Retail
7.2.11. Others Verticals
Chapter 8. Threat Hunting Market Segmentation 4: By Offering, Estimates & Trend Analysis
8.1. Market Share by Offering, 2023 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Offerings:
8.2.1. Tools
8.2.1.1. EDR
8.2.1.2. SEIM
8.2.1.3. NDR
8.2.1.4. Threat Intelligence platform
8.2.1.5. Others
8.2.2. Services
8.2.2.1. Professional Services
8.2.2.2. Managed Services
Chapter 9. Threat Hunting Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Threat Hunting Market, Regional Snapshot 2023 & 2031
9.2. North America
9.2.1. North America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Threat Type, 2019-2031
9.2.3. North America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2019-2031
9.2.4. North America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2019-2031
9.2.5. North America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031
9.3. Europe
9.3.1. Europe Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Threat Type, 2019-2031
9.3.3. Europe Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2019-2031
9.3.4. Europe Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2019-2031
9.3.5. Europe Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031
9.4. Asia Pacific
9.4.1. Asia Pacific Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Threat Type, 2019-2031
9.4.3. Asia Pacific Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2019-2031
9.4.4. Asia Pacific Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts By Organization Size, 2019-2031
9.4.5. Asia Pacific Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031
9.5. Latin America
9.5.1. Latin America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Threat Type, 2019-2031
9.5.3. Latin America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2019-2031
9.5.4. Latin America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2019-2031
9.5.5. Latin America Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031
9.6. Middle East & Africa
9.6.1. Middle East & Africa Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Threat Type, 2019-2031
9.6.3. Middle East & Africa Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by application, 2019-2031
9.6.4. Middle East & Africa Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Organization Size, 2019-2031
9.6.5. Middle East & Africa Threat Hunting Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. KASPERSKY
10.2.1.1. Business Overview
10.2.1.2. Key Product/Service Offerings
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. IBM
10.2.3. Capgemini
10.2.4. CrowdStrike
10.2.5. Trustwave
10.2.6. Verizon
10.2.7. SecureWorks
10.2.8. Sangfor
10.2.9. Eviden
10.2.10. Rapid 7
10.2.11. VMware
10.2.12. Solidworks
10.2.13. Trend Micro
10.2.14. Cynet
10.2.15. Palo Alto Networks
10.2.16. Cipher
10.2.17. Talatek
10.2.18. SOC Prime
10.2.19. RSI Security
10.2.20. Protected Harbour
10.2.21. Mindpoint Group
10.2.22. Exponential- E
10.2.23. Redscan
10.2.24. Iron Net Cybersecurity
10.2.25. LiveAction
10.2.26. Other Market Players
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.