US AI-Powered Cyber Threat Intelligence Market

The US AI-Powered Cyber Threat Intelligence Market is valued at USD 8 billion, fueled by increasing cyber attacks and AI integration in threat detection and response.

Region:North America

Author(s):Geetanshi

Product Code:KRAA3704

Pages:87

Published On:September 2025

About the Report

Base Year 2024

US AI-Powered Cyber Threat Intelligence Market Overview

  • The US AI-Powered Cyber Threat Intelligence Market is valued at USD 8 billion, based on a five-year historical analysis. This growth is primarily driven by the increasing frequency and sophistication of cyber threats, alongside the rising adoption of AI technologies in cybersecurity solutions. Organizations are investing heavily in AI-powered tools to enhance their threat detection and response capabilities, thereby safeguarding sensitive data and maintaining operational integrity. Recent market data shows North America, led by the US, holds the largest share of the global AI in cybersecurity market, reflecting robust demand for advanced threat intelligence solutions. Key drivers include the integration of AI with existing security frameworks, the rise of ransomware and phishing attacks, and the need for scalable, cloud-based AI security platforms .
  • Key players in this market include major technology hubs such asCalifornia, Texas, and New York. These regions dominate due to their concentration of technology firms, research institutions, and a skilled workforce. The presence of venture capital funding and innovation ecosystems further accelerates the development and deployment of AI-powered cybersecurity solutions, making these states pivotal in shaping market trends. The US market benefits from a dense ecosystem of cybersecurity startups, established vendors, and federal research initiatives, driving innovation and rapid adoption of AI-powered threat intelligence platforms .
  • In 2023, the US government implemented theCybersecurity Maturity Model Certification (CMMC) framework, issued by the US Department of Defense. This framework mandates that defense contractors meet specific cybersecurity standards, including requirements for threat intelligence, incident response, and continuous monitoring. The regulation aims to enhance the security posture of organizations handling sensitive government data, thereby driving demand for AI-powered cyber threat intelligence solutions to comply with these stringent requirements. The CMMC framework covers multiple levels of cybersecurity maturity and requires contractors to demonstrate compliance through third-party assessments .
US AI-Powered Cyber Threat Intelligence Market Size

US AI-Powered Cyber Threat Intelligence Market Segmentation

By Type:The market is segmented into various types of AI-powered cyber threat intelligence solutions, including Threat Intelligence Platforms, Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Network Traffic Analysis, Vulnerability Management, Incident Response, Threat Intelligence Feeds, User and Entity Behavior Analytics (UEBA), and Others. Each of these sub-segments plays a crucial role in enhancing cybersecurity measures across different industries. Threat Intelligence Platforms and SIEM solutions are particularly prominent, enabling real-time detection, automated response, and actionable insights for organizations facing advanced persistent threats and ransomware attacks. Endpoint Detection and Response (EDR) and Network Traffic Analysis are increasingly integrated with AI to improve anomaly detection and reduce response times .

US AI-Powered Cyber Threat Intelligence Market segmentation by Type.

By End-User:The end-user segmentation includes Government & Defense, Banking, Financial Services & Insurance (BFSI), Healthcare & Life Sciences, Retail & E-commerce, Manufacturing, Energy & Utilities, Telecommunications, and Others. Each sector has unique cybersecurity needs, driving the demand for tailored AI-powered solutions to mitigate risks and enhance security protocols. Government & Defense and BFSI sectors account for the largest share, reflecting the critical need for advanced threat intelligence and compliance with evolving regulations. Healthcare and Retail sectors are rapidly increasing adoption due to heightened risks of data breaches and ransomware attacks .

US AI-Powered Cyber Threat Intelligence Market segmentation by End-User.

US AI-Powered Cyber Threat Intelligence Market Competitive Landscape

The US AI-Powered Cyber Threat Intelligence Market is characterized by a dynamic mix of regional and international players. Leading participants such as IBM Corporation, Cisco Systems, Inc., Palo Alto Networks, Inc., Mandiant (A Google Company), CrowdStrike Holdings, Inc., Trellix (formerly McAfee Enterprise & FireEye), Check Point Software Technologies Ltd., Splunk Inc., Fortinet, Inc., ThreatConnect, Inc., Recorded Future, Inc., Digital Shadows Ltd., RiskIQ, Inc. (A Microsoft Company), Verint Systems Inc., Cybereason Inc., SentinelOne, Inc., Anomali, Inc., IntSights Cyber Intelligence Ltd. (A Rapid7 Company), Kaspersky Lab, Proofpoint, Inc. contribute to innovation, geographic expansion, and service delivery in this space. These companies leverage AI-powered analytics, cloud-native threat feeds, and industry-specific solutions to address evolving cyber risks and regulatory requirements, solidifying the US market’s leadership in threat intelligence .

IBM Corporation

1911

Armonk, New York, USA

Cisco Systems, Inc.

1984

San Jose, California, USA

Palo Alto Networks, Inc.

2005

Santa Clara, California, USA

Mandiant (A Google Company)

2004

Reston, Virginia, USA

CrowdStrike Holdings, Inc.

2011

Sunnyvale, California, USA

Company

Establishment Year

Headquarters

Company Size (Large, Medium, Small)

Annual Revenue (USD)

Revenue Growth Rate (%)

Number of Customers/Clients

Market Share (%)

Product Portfolio Breadth (No. of AI-powered CTI solutions)

US AI-Powered Cyber Threat Intelligence Market Industry Analysis

Growth Drivers

  • Increasing Cybersecurity Threats:The US experienced over3,205 data breachesin future, exposing more than353 million records. This alarming trend has heightened the urgency for organizations to adopt AI-powered cyber threat intelligence solutions. The FBI reported aincrease in cybercrime complaintsin future, underscoring the critical need for advanced threat detection and response capabilities. As threats become more sophisticated, businesses are compelled to invest in robust cybersecurity measures to safeguard sensitive data and maintain operational integrity.
  • Demand for Real-Time Threat Intelligence:In future, the global demand for real-time threat intelligence is estimated to beUSD 10 billion, driven by the need for immediate insights into potential cyber threats. Organizations are increasingly recognizing that timely information can significantly reduce the impact of cyber incidents. According to a report by IBM, the average cost of a data breach in the US is estimated atUSD 4.45 million, prompting businesses to prioritize real-time intelligence solutions to mitigate financial losses and reputational damage.
  • Adoption of AI Technologies in Cybersecurity:The AI cybersecurity market is estimated to beUSD 22.4 billionin future, reflecting strong growth due to increasing integration of AI technologies in threat detection and response systems. AI enhances the ability to analyze vast amounts of data, identify patterns, and predict potential threats. As organizations strive for more efficient security measures, the adoption of AI-driven solutions is becoming a strategic imperative to combat evolving cyber threats effectively.

Market Challenges

  • High Implementation Costs:The initial investment for AI-powered cybersecurity solutions can exceedUSD 1 millionfor mid-sized organizations, posing a significant barrier to entry. Many companies struggle to allocate sufficient budgets for advanced technologies, especially in a challenging economic environment. Additionally, ongoing maintenance and operational costs can further strain financial resources, leading to hesitance in adopting these essential solutions. This financial burden can hinder the overall growth of the AI-powered cyber threat intelligence market.
  • Shortage of Skilled Professionals:The cybersecurity workforce gap is estimated to beover 500,000 unfilled positionsin the US in future, creating a significant challenge for organizations seeking to implement AI-powered solutions. The lack of skilled professionals hampers the ability to effectively deploy and manage advanced cybersecurity technologies. According to the Cybersecurity Workforce Study,over 50% of organizationsreport difficulty in finding qualified candidates, which can lead to increased vulnerability to cyber threats and a slower response to emerging risks in the digital landscape.

US AI-Powered Cyber Threat Intelligence Market Future Outlook

As the landscape of cyber threats continues to evolve, the demand for AI-powered cyber threat intelligence solutions is expected to intensify. Organizations will increasingly prioritize investments in advanced technologies to enhance their cybersecurity posture. The integration of machine learning and automation will play a pivotal role in improving threat detection and response capabilities. Furthermore, the rise of managed security service providers (MSSPs) will facilitate access to sophisticated cybersecurity solutions, enabling businesses to better navigate the complexities of the digital threat environment.

Market Opportunities

  • Growth in Cloud-Based Solutions:The cloud security market is estimated to beUSD 13.7 billionin future, driven by the increasing adoption of cloud-based services. This shift presents a significant opportunity for AI-powered cyber threat intelligence providers to offer scalable and flexible solutions that cater to the unique security needs of cloud environments. Organizations are seeking integrated security solutions that can seamlessly protect their data across multiple platforms, enhancing overall cybersecurity resilience.
  • Increased Investment in Cybersecurity:In future, global cybersecurity spending is estimated to surpassUSD 188 billion, reflecting a growing recognition of the importance of robust security measures. This surge in investment creates opportunities for AI-powered cyber threat intelligence vendors to expand their offerings and develop innovative solutions. As organizations allocate more resources to cybersecurity, the demand for advanced threat intelligence capabilities will continue to rise, driving market growth and innovation.

Scope of the Report

SegmentSub-Segments
By Type

Threat Intelligence Platforms

Security Information and Event Management (SIEM)

Endpoint Detection and Response (EDR)

Network Traffic Analysis

Vulnerability Management

Incident Response

Threat Intelligence Feeds

User and Entity Behavior Analytics (UEBA)

Others

By End-User

Government & Defense

Banking, Financial Services & Insurance (BFSI)

Healthcare & Life Sciences

Retail & E-commerce

Manufacturing

Energy & Utilities

Telecommunications

Others

By Deployment Mode

On-Premises

Cloud-Based

Hybrid

By Service Type

Consulting Services

Managed Services

Training and Support

Integration & Implementation

By Industry Vertical

BFSI

Government and Defense

Energy and Utilities

Healthcare

Retail

IT & Telecom

Others

By Geography

US (by State/Region)

Canada

Mexico

By Pricing Model

Subscription-Based

Pay-Per-Use

License Fee

Freemium/Trial

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Department of Homeland Security, Federal Bureau of Investigation)

Cybersecurity Solution Providers

Managed Security Service Providers (MSSPs)

Insurance Companies Specializing in Cyber Risk

Telecommunications Companies

Financial Institutions and Banks

Defense Contractors

Players Mentioned in the Report:

IBM Corporation

Cisco Systems, Inc.

Palo Alto Networks, Inc.

Mandiant (A Google Company)

CrowdStrike Holdings, Inc.

Trellix (formerly McAfee Enterprise & FireEye)

Check Point Software Technologies Ltd.

Splunk Inc.

Fortinet, Inc.

ThreatConnect, Inc.

Recorded Future, Inc.

Digital Shadows Ltd.

RiskIQ, Inc. (A Microsoft Company)

Verint Systems Inc.

Cybereason Inc.

SentinelOne, Inc.

Anomali, Inc.

IntSights Cyber Intelligence Ltd. (A Rapid7 Company)

Kaspersky Lab

Proofpoint, Inc.

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. US AI-Powered Cyber Threat Intelligence Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 US AI-Powered Cyber Threat Intelligence Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. US AI-Powered Cyber Threat Intelligence Market Analysis

3.1 Growth Drivers

3.1.1 Increasing Cybersecurity Threats
3.1.2 Demand for Real-Time Threat Intelligence
3.1.3 Adoption of AI Technologies in Cybersecurity
3.1.4 Regulatory Compliance Requirements

3.2 Market Challenges

3.2.1 High Implementation Costs
3.2.2 Shortage of Skilled Professionals
3.2.3 Rapidly Evolving Threat Landscape
3.2.4 Data Privacy Concerns

3.3 Market Opportunities

3.3.1 Growth in Cloud-Based Solutions
3.3.2 Expansion of IoT Devices
3.3.3 Increased Investment in Cybersecurity
3.3.4 Strategic Partnerships and Collaborations

3.4 Market Trends

3.4.1 Integration of Machine Learning
3.4.2 Rise of Managed Security Service Providers (MSSPs)
3.4.3 Focus on Threat Hunting
3.4.4 Use of Automation in Cybersecurity

3.5 Government Regulation

3.5.1 GDPR Compliance
3.5.2 CCPA Implementation
3.5.3 NIST Cybersecurity Framework
3.5.4 Federal Information Security Management Act (FISMA)

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. US AI-Powered Cyber Threat Intelligence Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. US AI-Powered Cyber Threat Intelligence Market Segmentation

8.1 By Type

8.1.1 Threat Intelligence Platforms
8.1.2 Security Information and Event Management (SIEM)
8.1.3 Endpoint Detection and Response (EDR)
8.1.4 Network Traffic Analysis
8.1.5 Vulnerability Management
8.1.6 Incident Response
8.1.7 Threat Intelligence Feeds
8.1.8 User and Entity Behavior Analytics (UEBA)
8.1.9 Others

8.2 By End-User

8.2.1 Government & Defense
8.2.2 Banking, Financial Services & Insurance (BFSI)
8.2.3 Healthcare & Life Sciences
8.2.4 Retail & E-commerce
8.2.5 Manufacturing
8.2.6 Energy & Utilities
8.2.7 Telecommunications
8.2.8 Others

8.3 By Deployment Mode

8.3.1 On-Premises
8.3.2 Cloud-Based
8.3.3 Hybrid

8.4 By Service Type

8.4.1 Consulting Services
8.4.2 Managed Services
8.4.3 Training and Support
8.4.4 Integration & Implementation

8.5 By Industry Vertical

8.5.1 BFSI
8.5.2 Government and Defense
8.5.3 Energy and Utilities
8.5.4 Healthcare
8.5.5 Retail
8.5.6 IT & Telecom
8.5.7 Others

8.6 By Geography

8.6.1 US (by State/Region)
8.6.2 Canada
8.6.3 Mexico

8.7 By Pricing Model

8.7.1 Subscription-Based
8.7.2 Pay-Per-Use
8.7.3 License Fee
8.7.4 Freemium/Trial

9. US AI-Powered Cyber Threat Intelligence Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Company Size (Large, Medium, Small)
9.2.3 Annual Revenue (USD)
9.2.4 Revenue Growth Rate (%)
9.2.5 Number of Customers/Clients
9.2.6 Market Share (%)
9.2.7 Product Portfolio Breadth (No. of AI-powered CTI solutions)
9.2.8 R&D Spend (% of Revenue)
9.2.9 Customer Acquisition Cost (USD)
9.2.10 Customer Retention Rate (%)
9.2.11 Market Penetration Rate (%)
9.2.12 Average Deal Size (USD)
9.2.13 Sales Cycle Length (Days)
9.2.14 Customer Satisfaction Score (NPS or equivalent)
9.2.15 Number of Patents/AI Innovations
9.2.16 Strategic Partnerships/Alliances (Count)
9.2.17 Pricing Strategy (Premium, Value, Freemium, etc.)
9.2.18 Deployment Flexibility (Cloud, On-Prem, Hybrid)
9.2.19 Compliance Certifications (e.g., FedRAMP, SOC 2)

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 IBM Corporation
9.5.2 Cisco Systems, Inc.
9.5.3 Palo Alto Networks, Inc.
9.5.4 Mandiant (A Google Company)
9.5.5 CrowdStrike Holdings, Inc.
9.5.6 Trellix (formerly McAfee Enterprise & FireEye)
9.5.7 Check Point Software Technologies Ltd.
9.5.8 Splunk Inc.
9.5.9 Fortinet, Inc.
9.5.10 ThreatConnect, Inc.
9.5.11 Recorded Future, Inc.
9.5.12 Digital Shadows Ltd.
9.5.13 RiskIQ, Inc. (A Microsoft Company)
9.5.14 Verint Systems Inc.
9.5.15 Cybereason Inc.
9.5.16 SentinelOne, Inc.
9.5.17 Anomali, Inc.
9.5.18 IntSights Cyber Intelligence Ltd. (A Rapid7 Company)
9.5.19 Kaspersky Lab
9.5.20 Proofpoint, Inc.

10. US AI-Powered Cyber Threat Intelligence Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Budget Allocation Trends
10.1.2 Decision-Making Processes
10.1.3 Vendor Selection Criteria

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment in Cybersecurity Infrastructure
10.2.2 Trends in Cybersecurity Spending
10.2.3 Impact of Cyber Threats on Budgeting

10.3 Pain Point Analysis by End-User Category

10.3.1 Common Cybersecurity Challenges
10.3.2 Industry-Specific Threats
10.3.3 Resource Allocation Issues

10.4 User Readiness for Adoption

10.4.1 Awareness of Cyber Threats
10.4.2 Training and Skill Development
10.4.3 Technology Adoption Rates

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Measuring ROI from Cybersecurity Investments
10.5.2 Use Case Expansion Opportunities
10.5.3 Long-Term Benefits of Cyber Threat Intelligence

11. US AI-Powered Cyber Threat Intelligence Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Business Model Components


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service


7. Value Proposition

7.1 Sustainability

7.2 Integrated Supply Chains


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix
9.1.2 Pricing Band
9.1.3 Packaging

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines


12. Control vs Risk Trade-Off

12.1 Ownership vs Partnerships


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-Term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Activity Planning
15.2.2 Milestone Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of industry reports from cybersecurity organizations and think tanks
  • Review of government publications and white papers on AI and cybersecurity
  • Examination of market trends and forecasts from reputable market research firms

Primary Research

  • Interviews with cybersecurity analysts and AI technology experts
  • Surveys targeting IT security managers in various sectors
  • Focus groups with decision-makers in organizations utilizing AI for threat intelligence

Validation & Triangulation

  • Cross-validation of findings through multiple expert interviews
  • Triangulation of data from industry reports, expert insights, and market surveys
  • Sanity checks through peer reviews and feedback from industry stakeholders

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of market size based on national cybersecurity spending trends
  • Segmentation by industry verticals such as finance, healthcare, and government
  • Incorporation of growth rates from AI adoption in cybersecurity applications

Bottom-up Modeling

  • Data collection from leading AI-powered cybersecurity solution providers
  • Estimation of revenue based on service pricing and deployment scale
  • Volume x cost analysis for various AI threat intelligence solutions

Forecasting & Scenario Analysis

  • Multi-variable regression analysis incorporating AI technology advancements
  • Scenario modeling based on regulatory changes and emerging cyber threats
  • Baseline, optimistic, and pessimistic forecasts through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Financial Services Cybersecurity100Chief Information Security Officers, IT Security Managers
Healthcare AI Threat Intelligence60Healthcare IT Directors, Compliance Officers
Government Cyber Defense Strategies50Government Cybersecurity Officials, Policy Makers
Retail Sector Cybersecurity Solutions70IT Managers, Risk Management Officers
Manufacturing Industry Cyber Threats55Operations Managers, Cybersecurity Analysts

Frequently Asked Questions

What is the current value of the US AI-Powered Cyber Threat Intelligence Market?

The US AI-Powered Cyber Threat Intelligence Market is valued at approximately USD 8 billion, reflecting significant growth driven by the increasing frequency and sophistication of cyber threats and the rising adoption of AI technologies in cybersecurity solutions.

What are the key drivers of growth in the US AI-Powered Cyber Threat Intelligence Market?

Which regions in the US dominate the AI-Powered Cyber Threat Intelligence Market?

What is the Cybersecurity Maturity Model Certification (CMMC) framework?

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