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    US Applied AI in Cybersecurity Market

    ID: MRFR/ICT/57388-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    US Applied AI in Cybersecurity Market Research Report By Organization Size (SMEs, Large Enterprise) and By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security, ICS Security, IoT Security, Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Antivirus/Antimalware, Fraud Detection, Intrusion Detection/Prevention System, Threat Intelligence, Others) - Forecast to 2035

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    Table of Contents

    US Applied AI in Cybersecurity Market Summary

    The United States Applied AI in Cybersecurity market is poised for substantial growth, reaching an estimated 10045 USD Million by 2035.

    Key Market Trends & Highlights

    US Applied AI in Cybersecurity Key Trends and Highlights

    • The market valuation is projected to increase from 818.1 USD Million in 2024 to 10045 USD Million by 2035.
    • A compound annual growth rate (CAGR) of 25.61 percent is anticipated from 2025 to 2035.
    • The rapid expansion of AI technologies in cybersecurity is driving innovation and enhancing threat detection capabilities.
    • Growing adoption of AI solutions due to increasing cyber threats is a major market driver.

    Market Size & Forecast

    2024 Market Size 818.1 (USD Million)
    2035 Market Size 10045 (USD Million)
    CAGR (2025-2035) 25.61%

    Major Players

    Proofpoint, Microsoft, Check Point Software Technologies, Fortinet, Splunk, Cisco Systems, Tenable, Palo Alto Networks, IBM, Darktrace, McAfee, CrowdStrike, Rapid7, FireEye, SentinelOne

    US Applied AI in Cybersecurity Market Trends

    The US Applied AI in Cybersecurity Market is rapidly evolving due to pervasive market drivers. The adoption of sophisticated AI solutions is motivated principally by escalating cyber attacks targeting both business and government entities. Given the amount of data being created and processed, as well as shared online, cybersecurity frameworks need to adapt accordingly. The US government’s persistent initiatives to strengthen the nation’s cybersecurity framework has necessitated new organizational investments in AI technologies which improve threat detection and response times–further widening the gap between investment and technological readiness.

    In light of all these, there are Parts where improvements can still be made.

    These challenges have spurred businesses to search for comprehensive Cyber Security solutions incorporating Predictive Analytics techniques that help identify issues before they arise. Organizational agility enabled by AI empowers firms not only to address emerging threats but also positions them favorably within an ever-changing landscape shaped by continuous innovation and adaptive strategies. Moreover, the urgency generated by demand for advanced solutions is unlocking synergistic collaboration between technology and cybersecurity sectors designed towards advancement based on mutual trust. 

    Following a recent trend, more focus is directed towards implementing automated mitigation incident systems driven by AI enabling immediate attack response capabilities. They’re accompanied by heightened movements pushing for policies addressing compliance gaps within information regulation prompted by protective measures requested from customers aimed at improved monitoring protocols and privacy safeguard services.

    This trend is consistent with the efforts of the US government to advance cybersecurity practices in every industry. Along with market evolution, the combination of legislation, innovation, and the increasing acceptance of AI in cybersecurity is changing business security policies in the United States.

    US Applied AI in Cybersecurity Market Drivers

    Market Segment Insights

    Applied AI in Cybersecurity Market Organization Size Insights

    Applied AI in Cybersecurity Market Organization Size Insights

    The US Applied AI in Cybersecurity Market is seeing progressive segmentation based on Organization Size, which comprises both small and medium enterprises (SMEs) and large enterprises. This division plays a pivotal role in understanding how different sizes of organizations allocate resources toward cybersecurity strategies. SMEs often adopt Applied AI solutions to enhance their existing infrastructure without incurring significant costs, enabling them to fend off cyber threats that could jeopardize their operational continuity.

    This is particularly important as SMEs face increasing cyber risks but typically have less budget flexibility compared to larger organizations.On the other hand, large enterprises are often characterized by their substantial IT budgets and infrastructure, which allows for the integration of advanced AI technologies into their cybersecurity protocols effectively. This empowers them to not only respond to threats more swiftly but also to proactively mitigate risks through predictive analytics. The rising threat landscape in the US is compelling both segment types to invest in sophisticated AI-driven cybersecurity solutions to protect sensitive data and maintain regulatory compliance.

    Furthermore, the trend of digital transformation across various industries is increasing the demand for Applied AI solutions, resulting in a competitive edge for organizations that embrace these technologies.Investments made by large enterprises in robust AI capabilities can lead to significant market growth and contribute to developing comprehensive cybersecurity frameworks. Overall, with the focus on Organization Size, businesses in the US are realizing the importance of tailored cybersecurity measures that align with their size, risk profile, and operational capabilities, leading to a more secure and resilient digital ecosystem.

    Applied AI in Cybersecurity Market Security Type Insights

    Applied AI in Cybersecurity Market Security Type Insights

    The US Applied AI in Cybersecurity Market, specifically within the Security Type segment, reflects a strong emphasis on safeguarding various digital infrastructures across multiple industries. This segment comprises several key areas including Network Security, which plays a critical role in protecting a nation's internet backbone against unauthorized access and attacks, while Endpoint Security focuses on securing endpoints such as laptops and mobile devices, which are increasingly vulnerable to cybersecurity threats.

    Application Security ensures that software applications are equipped to resist attacks, especially given the rise of cloud computing and the need for Cloud Security solutions to protect data stored remotely.The significance of IoT Security is also growing rapidly as smart devices proliferate, necessitating measures to manage their vulnerabilities. Identity and Access Management systems are vital for ensuring that only authorized personnel can access sensitive information, thereby reducing risk and compliance challenges. Moreover, Data Loss Prevention and Unified Threat Management frameworks are essential for businesses in maintaining data integrity against breaches.

    Finally, sectors like Fraud Detection and Threat Intelligence provide crucial intelligence that aids organizations in preempting cyber threats, showcasing the diverse functionalities encompassed within the US Applied AI in Cybersecurity Market statistics.Collectively, these components illustrate the market's robust growth trajectory driven by increasing cyber threats and the need for resilient security solutions across the US landscape.

    Get more detailed insights about US Applied AI in Cybersecurity Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The US Applied AI in Cybersecurity Market is a rapidly evolving landscape characterized by the integration of advanced artificial intelligence technologies to enhance cybersecurity measures across various industries. As cyber threats become increasingly sophisticated, organizations are turning to AI-driven solutions to bolster their defense mechanisms, prevent data breaches, and safeguard sensitive information. The competitive environment is marked by a diverse array of players, from established technology firms to innovative startups, each striving to carve out a niche by leveraging machine learning, automation, and predictive analytics.

    This confluence of AI with cybersecurity not only improves threat detection and response times but also optimizes operational efficiencies for security teams, presenting abundant opportunities for growth and innovation in the sector.In the context of the US Applied AI in Cybersecurity Market, Proofpoint has established itself as a formidable contender with its strong focus on threat detection and data protection solutions. The company's advanced AI capabilities enable it to deliver sophisticated phishing detection and email security services tailored to the unique challenges of modern cyber threats.

    Proofpoint’s strengths lie in its user-centric approach, focusing on creating solutions that enhance user awareness and reduce the risk of human error, which is often a weak link in cybersecurity strategies. Its extensive market presence is bolstered by strategic partnerships and ongoing investments in machine learning technology, allowing Proofpoint to maintain a competitive edge in a crowded marketplace.

    Furthermore, the company’s commitment to innovation and continuous improvement ensures that it remains a trusted provider for organizations looking to leverage AI in safeguarding their digital assets in the US.Microsoft, a giant in the technology sector, has made significant strides in the US Applied AI in Cybersecurity Market through its comprehensive suite of products and services designed to combat cyber threats. Notably, the Microsoft Defender platform uses AI-driven analytics to provide threat detection, prevention, and response services across various environments, including cloud, on-premises, and hybrid infrastructures.

    The company boasts a robust market presence strengthened by its continuous investment in cybersecurity technologies, including machine learning algorithms and behavior analytics to enhance threat intelligence capabilities. Moreover, Microsoft’s acquisition strategy has been instrumental in expanding its cybersecurity portfolio, incorporating cutting-edge innovations and talent that enhance its offerings. These strategic mergers not only broaden the functionality and reach of its solutions but also reinforce Microsoft’s position as a leading provider of AI-driven cybersecurity solutions in the US market.

    The combination of a strong brand reputation, comprehensive product ecosystem, and commitment to innovation positions Microsoft as a key player in addressing the cybersecurity challenges of today’s digital landscape.

    Key Companies in the US Applied AI in Cybersecurity Market market include

    Industry Developments

    Market Segmentation

    Applied AI in Cybersecurity Market Security Type Outlook

    • Network Security
    • Endpoint Security
    • Application Security
    • Cloud Security
    • ICS Security
    • IoT Security
    • Identity and Access Management
    • Risk and Compliance Management
    • Data Loss Prevention
    • Unified Threat Management
    • Security and Vulnerability Management
    • Antivirus/Antimalware
    • Fraud Detection
    • Intrusion Detection/Prevention System
    • Threat Intelligence
    • Others

    Applied AI in Cybersecurity Market Organization Size Outlook

    • SMEs
    • Large Enterprise

    Report Scope

    Report Attribute/Metric Details
    Market Size 2023 657.02 (USD Million)
    Market Size 2024 818.12 (USD Million)
    Market Size 2035 10045.0 (USD Million)
    Compound Annual Growth Rate (CAGR) 25.606% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2024
    Market Forecast Units USD Million
    Key Companies Profiled Proofpoint, Microsoft, Check Point Software Technologies, Fortinet, Splunk, Cisco Systems, Tenable, Palo Alto Networks, IBM, Darktrace, McAfee, CrowdStrike, Rapid7, FireEye, SentinelOne
    Segments Covered Organization Size, Security Type
    Key Market Opportunities Automated threat detection systems, Predictive analytics for breaches, Enhanced incident response solutions, AI-driven vulnerability management, Real-time network monitoring tools
    Key Market Dynamics increase in cyber threats, demand for automation, regulatory compliance pressures, investment in advanced technologies, need for real-time data analysis
    Countries Covered US

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What was the expected market size of the US Applied AI in Cybersecurity Market in 2024?

    The US Applied AI in Cybersecurity Market was valued at 818.12 million USD in 2024.

    What will be the projected market value of the US Applied AI in Cybersecurity Market by 2035?

    By 2035, the market is projected to reach a value of 10,045.0 million USD.

    What is the expected CAGR for the US Applied AI in Cybersecurity Market from 2025 to 2035?

    The expected CAGR for the market from 2025 to 2035 is 25.606%.

    Which organization size segment will contribute significantly to the US Applied AI in Cybersecurity Market in 2035?

    For the year 2035, large enterprises are forecasted to contribute significantly with a market value of 6,915.0 million USD.

    What market value is expected for SMEs in the US Applied AI in Cybersecurity Market by 2035?

    The SMEs segment is expected to reach a market value of 3,130.0 million USD by 2035.

    Who are the key players in the US Applied AI in Cybersecurity Market?

    Major players in the market include Proofpoint, Microsoft, Check Point Software Technologies, Fortinet, and Splunk, among others.

    What is the projected market growth rate for large enterprises in the US Applied AI in Cybersecurity Market?

    The market for large enterprises is projected to grow significantly, reaching 6,915.0 million USD by 2035.

    What are the key applications driving the growth of the US Applied AI in Cybersecurity Market?

    Key applications driving growth include threat detection, incident response, and vulnerability management.

    What emerging trends are shaping the US Applied AI in Cybersecurity Market?

    Emerging trends include increasing automation in cybersecurity processes and the integration of advanced machine learning techniques.

    How does the current global scenario affect the US Applied AI in Cybersecurity Market?

    The current global scenario is driving demand for enhanced cybersecurity measures, boosting market growth across various sectors.

    1. EXECUTIVE SUMMARY
    2. Market Overview
      1. Key Findings
      2. Market Segmentation
    3. Competitive Landscape
      1. Challenges and Opportunities
      2. Future Outlook
    4. MARKET INTRODUCTION
      1. Definition
    5. Scope of the study
      1. Research Objective
        1. Assumption
    6. Limitations
    7. RESEARCH METHODOLOGY
      1. Overview
      2. Data Mining
      3. Secondary Research
      4. Primary Research
        1. Primary Interviews
    8. and Information Gathering Process
      1. Breakdown of Primary Respondents
      2. Forecasting Model
      3. Market Size Estimation
        1. Bottom-Up
    9. Approach
      1. Top-Down Approach
      2. Data Triangulation
    10. Validation
    11. MARKET DYNAMICS
      1. Overview
    12. Drivers
      1. Restraints
      2. Opportunities
    13. MARKET FACTOR ANALYSIS
      1. Value chain Analysis
      2. Porter's Five Forces Analysis
    14. Bargaining Power of Suppliers
      1. Bargaining Power of Buyers
    15. Threat of New Entrants
      1. Threat of Substitutes
        1. Intensity
    16. of Rivalry
      1. COVID-19 Impact Analysis
        1. Market Impact Analysis
        2. Regional Impact
        3. Opportunity and Threat Analysis
    17. US APPLIED AI IN CYBERSECURITY MARKET, BY ORGANIZATION SIZE (USD MILLION)
      1. SMEs
      2. Large Enterprise
    18. US APPLIED AI IN CYBERSECURITY
    19. MARKET, BY SECURITY TYPE (USD MILLION)
      1. Network Security
      2. Endpoint
    20. Security
      1. Application Security
      2. Cloud Security
      3. ICS
    21. Security
      1. IoT Security
      2. Identity and Access Management
    22. Risk and Compliance Management
      1. Data Loss Prevention
      2. Unified
    23. Threat Management
      1. Security and Vulnerability Management
    24. Antivirus/Antimalware
      1. Fraud Detection
      2. Intrusion Detection/Prevention
    25. System
      1. Threat Intelligence
      2. Others
    26. COMPETITIVE LANDSCAPE
      1. Overview
      2. Competitive Analysis
    27. Market share Analysis
      1. Major Growth Strategy in the Applied AI in Cybersecurity
    28. Market
      1. Competitive Benchmarking
      2. Leading Players in Terms of
    29. Number of Developments in the Applied AI in Cybersecurity Market
      1. Key
    30. developments and growth strategies
      1. New Product Launch/Service Deployment
        1. Merger & Acquisitions
        2. Joint Ventures
      2. Major
    31. Players Financial Matrix
      1. Sales and Operating Income
        1. Major
    32. Players R&D Expenditure. 2023
    33. COMPANY PROFILES
      1. Proofpoint
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT Analysis
        5. Key Strategies
      2. Microsoft
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT Analysis
        5. Key Strategies
      3. Check Point Software
    34. Technologies
      1. Financial Overview
        1. Products Offered
    35. Key Developments
      1. SWOT Analysis
        1. Key Strategies
    36. Fortinet
      1. Financial Overview
        1. Products Offered
    37. Key Developments
      1. SWOT Analysis
        1. Key Strategies
    38. Splunk
      1. Financial Overview
        1. Products Offered
    39. Key Developments
      1. SWOT Analysis
        1. Key Strategies
    40. Cisco Systems
      1. Financial Overview
        1. Products Offered
        2. Key Developments
        3. SWOT Analysis
        4. Key Strategies
      2. Tenable
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT Analysis
        5. Key Strategies
      3. Palo Alto Networks
        1. Financial Overview
        2. Products
    41. Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key
    42. Strategies
      1. IBM
        1. Financial Overview
        2. Products
    43. Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key
    44. Strategies
      1. Darktrace
        1. Financial Overview
    45. Products Offered
      1. Key Developments
        1. SWOT Analysis
        2. Key Strategies
      2. McAfee
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT Analysis
        5. Key Strategies
      3. CrowdStrike
        1. Financial Overview
        2. Products Offered
        3. Key Developments
        4. SWOT
    46. Analysis
      1. Key Strategies
      2. Rapid7
        1. Financial
    47. Overview
      1. Products Offered
        1. Key Developments
    48. SWOT Analysis
      1. Key Strategies
      2. FireEye
        1. Financial
    49. Overview
      1. Products Offered
        1. Key Developments
    50. SWOT Analysis
      1. Key Strategies
      2. SentinelOne
    51. Financial Overview
      1. Products Offered
        1. Key Developments
        2. SWOT Analysis
        3. Key Strategies
    52. APPENDIX
      1. References
      2. Related Reports
    53. LIST OF ASSUMPTIONS
    54. ESTIMATES & FORECAST, BY ORGANIZATION SIZE, 2019-2035 (USD BILLIONS)
    55. US APPLIED AI IN CYBERSECURITY MARKET SIZE ESTIMATES & FORECAST, BY SECURITY
    56. TYPE, 2019-2035 (USD BILLIONS)
    57. LIST
    58. OF FIGURES
    59. CYBERSECURITY MARKET ANALYSIS BY ORGANIZATION SIZE
    60. IN CYBERSECURITY MARKET ANALYSIS BY SECURITY TYPE
    61. OF APPLIED AI IN CYBERSECURITY MARKET
    62. IMPACT ANALYSIS: APPLIED AI IN CYBERSECURITY MARKET
    63. ANALYSIS: APPLIED AI IN CYBERSECURITY MARKET
    64. APPLIED AI IN CYBERSECURITY MARKET
    65. MARKET, BY ORGANIZATION SIZE, 2025 (% SHARE)
    66. MARKET, BY ORGANIZATION SIZE, 2019 TO 2035 (USD Billions)
    67. AI IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2025 (% SHARE)
    68. AI IN CYBERSECURITY MARKET, BY SECURITY TYPE, 2019 TO 2035 (USD Billions)
    69. BENCHMARKING OF MAJOR COMPETITORS

    US Applied AI in Cybersecurity Market Segmentation

     

    • Applied AI in Cybersecurity Market By Organization Size (USD Million, 2019-2035)
      • SMEs
      • Large Enterprise

     

    • Applied AI in Cybersecurity Market By Security Type (USD Million, 2019-2035)
      • Network Security
      • Endpoint Security
      • Application Security
      • Cloud Security
      • ICS Security
      • IoT Security
      • Identity and Access Management
      • Risk and Compliance Management
      • Data Loss Prevention
      • Unified Threat Management
      • Security and Vulnerability Management
      • Antivirus/Antimalware
      • Fraud Detection
      • Intrusion Detection/Prevention System
      • Threat Intelligence
      • Others

     

     

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