Artificial Intelligence in Cybersecurity Market By Security Type (Network Security, Endpoint Security, Application Security, Cloud Security, Others), Component (Software, Services), Deployment Mode, Technology, Application & Region - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional Footprints by MarketDigits - Forecast 2024-2032

Industry : Information Technology | Pages : 180 Pages | Published On : Mar 2024

         
     
The Artificial Intelligence in Cybersecurity Market is Valued USD 21.9 billion in 2024 and projected to reach USD 67.3 billion by 2030, growing at a CAGR of 21.5% During the Forecast period of 2024-2032.

Artificial Intelligence in Cybersecurity Market Size


Graph
             2020                         2024-2032      

ReportDetails
Market Size ValueUSD 21.9 billion in 2024
Market Size ValueUSD 67.3 billion by 2030
CAGR21.5%
Forecast Period2024-2032
Base Year 2023
Historic Data2020
Segments CoveredSecurity Type, Component, Deployment Mode, Technology, Application, and Region
Geographics CoveredNorth America, Latin America, Europe, Asia-Pacific, Middle East & Africa

Major players in Artificial Intelligence in Cybersecurity Market include: IBM Corporation, Cisco Systems, Inc., Palo Alto Networks, Inc., Symantec Corporation, Fortinet, Inc., Check Point Software Technologies Ltd., Trend Micro Incorporated, FireEye, Inc., RSA Security LLC, McAfee LLC, Splunk Inc., Darktrace Ltd., and Others

The Artificial Intelligence in Cybersecurity market is driven by the increasing sophistication of cyber threats and the need for advanced threat detection and response capabilities. The continuous evolution of cyberattacks necessitates the adoption of AI-powered solutions to proactively identify and mitigate security risks. AI brings advanced capabilities such as pattern recognition, anomaly detection, and real-time threat intelligence, enabling organizations to strengthen their cybersecurity defenses. This market offers opportunities for organizations to leverage AI in automating security operations, enhancing incident response capabilities, and improving overall cyber resilience.

The adoption of Artificial Intelligence in Cybersecurity presents challenges such as the need for AI systems to keep pace with emerging attack techniques and the requirement for trustworthy and explainable AI algorithms. However, the market also provides opportunities for organizations to revolutionize their cybersecurity defenses by leveraging AI. AI-powered solutions offer proactive threat intelligence, automation of security tasks, and improved detection and prevention of cyber threats. Furthermore, the integration of AI in cybersecurity helps organizations meet regulatory compliance requirements and enhances their ability to protect sensitive information. Overall, Artificial Intelligence in the Cybersecurity market plays a vital role in enhancing organizations' cybersecurity posture, mitigating risks, and protecting against evolving cyber threats.

Increasing Sophistication of Cyber Threats:

The rapidly evolving and increasingly sophisticated nature of cyber threats is a significant driver for the adoption of Artificial Intelligence in Cybersecurity. Traditional security measures often struggle to keep pace with the complexity and frequency of modern cyberattacks. Cybercriminals employ advanced techniques such as polymorphic malware, social engineering, and zero-day exploits to bypass traditional security controls. Artificial Intelligence brings the power of machine learning, behavioral analytics, and predictive algorithms to detect and respond to these evolving threats effectively. AI-based systems can analyze vast amounts of data, identify patterns, and detect anomalies to identify potential threats in real-time. By leveraging AI, organizations can bolster their defense mechanisms and stay ahead of sophisticated cyber threats.

According to a report by Cybersecurity Ventures, global cybercrime costs are projected to reach $10.5 trillion annually by 2025, highlighting the urgent need for robust cybersecurity solutions. The growing complexity and financial impact of cyber threats drive organizations to adopt AI-based cybersecurity systems to detect, prevent, and respond to cyberattacks proactively.

Shortage of Skilled Cybersecurity Professionals:

Another driver for Artificial Intelligence in the Cybersecurity market is the shortage of skilled cybersecurity professionals. The cybersecurity talent gap is a global challenge, with a shortage of professionals who possess the expertise and knowledge required to effectively combat modern cyber threats. As organizations face an increasing number of cyber incidents and security breaches, the demand for skilled cybersecurity professionals surpasses the available supply.

Artificial Intelligence in Cybersecurity offers a solution to this challenge by automating and augmenting cybersecurity processes. AI systems can autonomously detect and respond to threats, reducing the burden on human analysts and allowing them to focus on more strategic and complex tasks. Machine learning algorithms can continuously learn from new threat patterns and security incidents, improving their detection accuracy over time. By leveraging AI, organizations can overcome the scarcity of skilled cybersecurity professionals and enhance their security operations with automated threat detection and response capabilities.

According to a study by (ISC)², the global shortage of cybersecurity professionals is estimated to reach 3.5 million by 2021. This shortage emphasizes the need for AI-driven cybersecurity solutions to alleviate the strain on human resources and bridge the skills gap.

Dominating Region and Country:

With the United States as the dominating country, North America holds a significant share of the global Artificial Intelligence in the Cybersecurity market. The United States is home to numerous technology giants, cybersecurity companies, and research institutions that are at the forefront of AI innovation in the cybersecurity domain. The country's robust cybersecurity ecosystem, strong research and development capabilities, and significant investments in AI technologies contribute to its dominance in the market. The United States also faces a high number of cyber threats due to its large digital infrastructure and the presence of critical sectors such as finance, healthcare, and defense, which further drives the adoption of AI in cybersecurity.

Upcoming Regions and Countries with High Growth Potential:

Asia-Pacific, particularly countries like China, Japan, and India, showcases high growth potential in the Artificial Intelligence in Cybersecurity market. These countries have rapidly expanding digital economies, increasing connectivity, and a growing awareness of cybersecurity challenges. China, with its massive population and evolving regulatory landscape, is investing heavily in AI technologies, including cybersecurity. Japan, known for its technological advancements, is focusing on developing AI-based cybersecurity solutions to combat cyber threats. India, with its burgeoning IT industry and digital initiatives, is witnessing a growing demand for AI-driven cybersecurity solutions. These countries are investing in research and development, collaborations with cybersecurity companies, and government initiatives to bolster their cybersecurity capabilities. The rise in cybercrime activities and the need to secure critical digital infrastructure present significant growth opportunities for AI-based cybersecurity solutions in these regions.

Overall, the Artificial Intelligence in Cybersecurity market is driven by the increasing sophistication of cyber threats and the shortage of skilled cybersecurity professionals. North America dominates the market, particularly the United States, due to its advanced cybersecurity ecosystem and strong research and development capabilities. Meanwhile, countries in the Asia-Pacific region, including China, Japan, and India, present high growth potential due to their expanding digital economies and the growing need for robust cybersecurity solutions.

The Artificial Intelligence in Cybersecurity Market research report provides an in-depth overview of the industry including market segmentation by Security Type, Component, Deployment Mode, Technology, Application, and Region. Analysis of the global market with a special focus on high-growth applications in each vertical and fast-growing market segment. It includes a detailed competitive landscape with identification of the key players concerning each type of market, in-depth market share analysis with individual revenue, market shares, and top players’ rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, and game-changing developments such as new product launches, collaborations, expansions, investment analysis, mergers, and acquisitions. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue forecast for the period 2023-2030.

The report further studies the market strategies of key players, recent development status, plans, and Artificial Intelligence in Cybersecurity Market trends across the world. Also, it splits the market segmentation further to deep dive into research and reveals company profile and prospects.

Major Classifications are as follows:

  • By Security Type:
    • Network Security
    • Endpoint Security
    • Application Security
    • Cloud Security
    • Others
  • By Component:
    • Software
    • Services
  • By Deployment Mode:
    • Cloud-based
    • On-premises
  • By Technology:
    • Machine Learning
    • Natural Language Processing (NLP)
    • Neural Networks
    • Deep Learning
    • Others
  • By Application:
    • Threat Intelligence
    • Intrusion Detection and Prevention
    • User Behavior Analytics
    • Automated Compliance Management
    • Fraud Detection
    • Others
  • By Region
    • North America
      • US
      • Canada
    • Latin America
      • Brazil
      • Mexico
      • Argentina
      • Rest of Latin America
    • Europe
      • UK
      • Germany
      • France
      • Italy
      • Spain
      • Russia
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Rest of Asia Pacific
    • Rest of the World
      • Middle East
        • UAE
        • Saudi Arabia
        • Israel
        • Rest of the Middle East
      • Africa
        • South Africa
        • Rest of the Middle East & Africa

Reason to purchase this Artificial Intelligence in Cybersecurity Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Artificial Intelligence in Cybersecurity Market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different Artificial Intelligence in Cybersecurity Market segments in the top spending countries across the world and identify the opportunities each offers.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Artificial Intelligence in Cybersecurity Market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Artificial Intelligence in Cybersecurity Market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Artificial Intelligence in Cybersecurity Market providers worldwide, including information about their products, alliances, recent contract wins, and financial analysis wherever available.

TOC

Table and Figures

  1. Executive Summary
  2. Introduction
    1. Key Takeaways
    2. Report Description
    3. Market Scope & Definition
    4. Stakeholders
    5. Research Methodology
      1. Market size
      2. Key data points from primary sources
      3. Key data points from secondary sources
      4. List of primary sources
      5. List of secondary sources
  3. Market Overview
    1. Introduction
    2. Industry Segmentation
    3. Market Trends Analysis
    4. Major Funding & Investments
    5. Market Dynamics
      1. Drivers
      2. Restraints
      3. Opportunities
    6. Value Chain Analysis
    7. Pricing Analysis
      1. Pricing Analysis, By Products
      2. Average Pricing Benchmark Analysis
  4. Artificial Intelligence in Cybersecurity Market, By Security Type
    1. Network Security
    2. Endpoint Security
    3. Application Security
    4. Cloud Security
    5. Others
  5. Artificial Intelligence in Cybersecurity Market, By Component
    1. Software
    2. Services
  6. Artificial Intelligence in Cybersecurity Market, By Deployment Mode
    1. Cloud-based
    2. On-premises
  7. Artificial Intelligence in Cybersecurity Market, By Technology
    1. Machine Learning
    2. Natural Language Processing (NLP)
    3. Neural Networks
    4. Deep Learning
    5. Others
  8. Artificial Intelligence in Cybersecurity Market, By Application
    1. Threat Intelligence
    2. Intrusion Detection and Prevention
    3. User Behavior Analytics
    4. Automated Compliance Management
    5. Fraud Detection
    6. Others
  9. Artificial Intelligence in Cybersecurity Market, By Geography
    1. Artificial Intelligence in Cybersecurity Market, North America
      1. U.S.
      2. Canada
    2. Artificial Intelligence in Cybersecurity Market, Latin America
      1. Brazil
      2. Mexico
      3. Argentina
      4. Rest of Latin America
    3. Artificial Intelligence in Cybersecurity Market, Europe
      1. UK
      2. Germany
      3. France
      4. Italy
      5. Spain
      6. Russia
      7. Rest of Europe
    4. Artificial Intelligence in Cybersecurity Market, Asia Pacific
      1. China
      2. Japan
      3. India
      4. South Korea
      5. Rest of Asia Pacific
    5. Artificial Intelligence in Cybersecurity Market, Rest of the world
      1. Middle East
        1. UAE
        2. Saudi Arabia
        3. Israel
      2. Africa
        1. South Africa
        2. Rest of Africa
  10. Competitive Analysis
    1. Introduction
    2. Top Companies Ranking
    3. Competitive Landscape
      1. Competition Dashboard
      2. Market Share Analysis (2022)
      3. Emerging company case studies
    4. Company Profiles
      1. IBM Corporation
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      2. Cisco Systems, Inc.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      3. Palo Alto Networks, Inc.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      4. Symantec Corporation
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      5. Fortinet, Inc.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      6. Check Point Software Technologies Ltd.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      7. Trend Micro Incorporated
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      8. FireEye, Inc.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      9. RSA Security LLC
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      10. McAfee LLC
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      11. Splunk Inc.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition
      12. Darktrace Ltd.
        1. Business Overview
        2. Product Portfolio
        3. Market Segments (Business Segment/Region)
        4. Sales Footprint
        5. Recent Developments
          1. New Product Launch
          2. Mergers & Acquisitions
          3. Collaborations, Partnerships & Agreements
          4. Rewards & Recognition

Methodology:

At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.

This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.

The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.

Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.

The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.

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