What is the current valuation of the US ai in-cybersecurity market?

The market valuation was $7.12 Billion in 2024. Read More

What is the projected market size for the US ai in-cybersecurity market by 2035?

The projected valuation for 2035 is $65.8 Billion. Read More

What is the expected CAGR for the US ai in-cybersecurity market during the forecast period 2025 - 2035?

The expected CAGR is 22.4% during the forecast period 2025 - 2035. Read More

Which companies are considered key players in the US ai in-cybersecurity market?

Key players include CrowdStrike, Palo Alto Networks, Darktrace, Fortinet, Check Point Software Technologies, IBM, Cisco Systems, and McAfee. Read More

What segment had the highest valuation in the application category in 2024?

In 2024, Security Analytics had the highest valuation at $1.8 Billion. Read More

How does the cloud-based deployment mode compare to on-premises in terms of market size?

Cloud-Based deployment mode was valued at $2.84 Billion, surpassing On-Premises, which was valued at $2.13 Billion in 2024. Read More

Which end-use sector had the largest market share in 2024?

The IT and Telecom sector had the largest market share, valued at $2.42 Billion in 2024. Read More

What technology segment is projected to grow the most by 2035?

Deep Learning is projected to grow the most, with a valuation of $2.0 Billion in 2024 and expected growth by 2035. Read More

What was the valuation of the Fraud Detection segment in 2024?

The Fraud Detection segment was valued at $1.05 Billion in 2024. Read More

How does the Threat Intelligence segment's growth compare to the overall market growth?

Threat Intelligence, valued at $1.25 Billion in 2024, indicates a growth trajectory that aligns with the overall market's expected CAGR of 22.4%. Read More

US AI in Cybersecurity Market

ID: MRFR/ICT/14959-HCR

100 Pages

Apoorva Priyadarshi

Last Updated: April 06, 2026

US AI in Cybersecurity Market Size, Share and Research Report: By Application (Intrusion Detection, Threat Intelligence, Fraud Detection, Security Analytics, Incident Response), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By End Use (BFSI, Healthcare, Government, Retail, IT and Telecom) and By Technology (Machine Learning, Natural Language Processing, Deep Learning, Neural Networks) - Industry Forecast to 2035

Summary Table of Contents Segmentation Download PDF

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1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
1. 1.1 EXECUTIVE SUMMARY
  1. 1.1.1 Market Overview
  2. 1.1.2 Key Findings
  3. 1.1.3 Market Segmentation
  4. 1.1.4 Competitive Landscape
  5. 1.1.5 Challenges and Opportunities
  6. 1.1.6 Future Outlook
2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
1. 2.1 MARKET INTRODUCTION
  1. 2.1.1 Definition
  2. 2.1.2 Scope of the study
    1. 2.1.2.1 Research Objective
    2. 2.1.2.2 Assumption
    3. 2.1.2.3 Limitations
2. 2.2 RESEARCH METHODOLOGY
  1. 2.2.1 Overview
  2. 2.2.2 Data Mining
  3. 2.2.3 Secondary Research
  4. 2.2.4 Primary Research
    1. 2.2.4.1 Primary Interviews and Information Gathering Process
    2. 2.2.4.2 Breakdown of Primary Respondents
  5. 2.2.5 Forecasting Model
  6. 2.2.6 Market Size Estimation
    1. 2.2.6.1 Bottom-Up Approach
    2. 2.2.6.2 Top-Down Approach
  7. 2.2.7 Data Triangulation
  8. 2.2.8 Validation
3 SECTION III: QUALITATIVE ANALYSIS
1. 3.1 MARKET DYNAMICS
  1. 3.1.1 Overview
  2. 3.1.2 Drivers
  3. 3.1.3 Restraints
  4. 3.1.4 Opportunities
2. 3.2 MARKET FACTOR ANALYSIS
  1. 3.2.1 Value chain Analysis
  2. 3.2.2 Porter's Five Forces Analysis
    1. 3.2.2.1 Bargaining Power of Suppliers
    2. 3.2.2.2 Bargaining Power of Buyers
    3. 3.2.2.3 Threat of New Entrants
    4. 3.2.2.4 Threat of Substitutes
    5. 3.2.2.5 Intensity of Rivalry
  3. 3.2.3 COVID-19 Impact Analysis
    1. 3.2.3.1 Market Impact Analysis
    2. 3.2.3.2 Regional Impact
    3. 3.2.3.3 Opportunity and Threat Analysis
4 SECTION IV: QUANTITATIVE ANALYSIS
1. 4.1 Information and Communications Technology, BY Application (USD Billion)
  1. 4.1.1 Intrusion Detection
  2. 4.1.2 Threat Intelligence
  3. 4.1.3 Fraud Detection
  4. 4.1.4 Security Analytics
  5. 4.1.5 Incident Response
2. 4.2 Information and Communications Technology, BY Deployment Mode (USD Billion)
  1. 4.2.1 Cloud-Based
  2. 4.2.2 On-Premises
  3. 4.2.3 Hybrid
3. 4.3 Information and Communications Technology, BY End Use (USD Billion)
  1. 4.3.1 BFSI
  2. 4.3.2 Healthcare
  3. 4.3.3 Government
  4. 4.3.4 Retail
  5. 4.3.5 IT and Telecom
4. 4.4 Information and Communications Technology, BY Technology (USD Billion)
  1. 4.4.1 Machine Learning
  2. 4.4.2 Natural Language Processing
  3. 4.4.3 Deep Learning
  4. 4.4.4 Neural Networks
5 SECTION V: COMPETITIVE ANALYSIS
1. 5.1 Competitive Landscape
  1. 5.1.1 Overview
  2. 5.1.2 Competitive Analysis
  3. 5.1.3 Market share Analysis
  4. 5.1.4 Major Growth Strategy in the Information and Communications Technology
  5. 5.1.5 Competitive Benchmarking
  6. 5.1.6 Leading Players in Terms of Number of Developments in the Information and Communications Technology
  7. 5.1.7 Key developments and growth strategies
    1. 5.1.7.1 New Product Launch/Service Deployment
    2. 5.1.7.2 Merger & Acquisitions
    3. 5.1.7.3 Joint Ventures
  8. 5.1.8 Major Players Financial Matrix
    1. 5.1.8.1 Sales and Operating Income
    2. 5.1.8.2 Major Players R&D Expenditure. 2023
2. 5.2 Company Profiles
  1. 5.2.1 CrowdStrike (US)
    1. 5.2.1.1 Financial Overview
    2. 5.2.1.2 Products Offered
    3. 5.2.1.3 Key Developments
    4. 5.2.1.4 SWOT Analysis
    5. 5.2.1.5 Key Strategies
  2. 5.2.2 Palo Alto Networks (US)
    1. 5.2.2.1 Financial Overview
    2. 5.2.2.2 Products Offered
    3. 5.2.2.3 Key Developments
    4. 5.2.2.4 SWOT Analysis
    5. 5.2.2.5 Key Strategies
  3. 5.2.3 Darktrace (GB)
    1. 5.2.3.1 Financial Overview
    2. 5.2.3.2 Products Offered
    3. 5.2.3.3 Key Developments
    4. 5.2.3.4 SWOT Analysis
    5. 5.2.3.5 Key Strategies
  4. 5.2.4 Fortinet (US)
    1. 5.2.4.1 Financial Overview
    2. 5.2.4.2 Products Offered
    3. 5.2.4.3 Key Developments
    4. 5.2.4.4 SWOT Analysis
    5. 5.2.4.5 Key Strategies
  5. 5.2.5 Check Point Software Technologies (IL)
    1. 5.2.5.1 Financial Overview
    2. 5.2.5.2 Products Offered
    3. 5.2.5.3 Key Developments
    4. 5.2.5.4 SWOT Analysis
    5. 5.2.5.5 Key Strategies
  6. 5.2.6 IBM (US)
    1. 5.2.6.1 Financial Overview
    2. 5.2.6.2 Products Offered
    3. 5.2.6.3 Key Developments
    4. 5.2.6.4 SWOT Analysis
    5. 5.2.6.5 Key Strategies
  7. 5.2.7 Cisco Systems (US)
    1. 5.2.7.1 Financial Overview
    2. 5.2.7.2 Products Offered
    3. 5.2.7.3 Key Developments
    4. 5.2.7.4 SWOT Analysis
    5. 5.2.7.5 Key Strategies
  8. 5.2.8 McAfee (US)
    1. 5.2.8.1 Financial Overview
    2. 5.2.8.2 Products Offered
    3. 5.2.8.3 Key Developments
    4. 5.2.8.4 SWOT Analysis
    5. 5.2.8.5 Key Strategies
3. 5.3 Appendix
  1. 5.3.1 References
  2. 5.3.2 Related Reports
6 LIST OF FIGURES
1. 6.1 MARKET SYNOPSIS
2. 6.2 US MARKET ANALYSIS BY APPLICATION
3. 6.3 US MARKET ANALYSIS BY DEPLOYMENT MODE
4. 6.4 US MARKET ANALYSIS BY END USE
5. 6.5 US MARKET ANALYSIS BY TECHNOLOGY
6. 6.6 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
7. 6.7 RESEARCH PROCESS OF MRFR
8. 6.8 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
9. 6.9 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
10. 6.10 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
11. 6.11 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY
12. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 (% SHARE)
13. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 TO 2035 (USD Billion)
14. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODE, 2024 (% SHARE)
15. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODE, 2024 TO 2035 (USD Billion)
16. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 (% SHARE)
17. 6.17 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 TO 2035 (USD Billion)
18. 6.18 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE)
19. 6.19 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Billion)
20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
7 LIST OF TABLES
1. 7.1 LIST OF ASSUMPTIONS
7.1.1
1. 7.2 US MARKET SIZE ESTIMATES; FORECAST
  1. 7.2.1 BY APPLICATION, 2025-2035 (USD Billion)
  2. 7.2.2 BY DEPLOYMENT MODE, 2025-2035 (USD Billion)
  3. 7.2.3 BY END USE, 2025-2035 (USD Billion)
  4. 7.2.4 BY TECHNOLOGY, 2025-2035 (USD Billion)
2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
7.3.1
1. 7.4 ACQUISITION/PARTNERSHIP
7.4.1

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US US AI in Cybersecurity Market Segmentation

US AI in Cybersecurity Market By Application (USD Billion, 2025-2035)

Intrusion Detection
Threat Intelligence
Fraud Detection
Security Analytics
Incident Response

US AI in Cybersecurity Market By Deployment Mode (USD Billion, 2025-2035)

Cloud-Based
On-Premises
Hybrid

US AI in Cybersecurity Market By End Use (USD Billion, 2025-2035)

BFSI
Healthcare
Government
Retail
IT and Telecom

US AI in Cybersecurity Market By Technology (USD Billion, 2025-2035)

Machine Learning
Natural Language Processing
Deep Learning
Neural Networks

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