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AI in Cybersecurity Market to Reach USD 95.80 Billion By 2030 | CAGR: 24.5%

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  • Report ID: FDS274
  • Published On: Oct 2023

The global Artificial Intelligence in Cybersecurity market size is expected to reach USD 95.80 billion by 2030, registering a compound annual growth rate (CAGR) of 24.5% during the forecast period, according to a new report by Future Data Stats.

The convergence of Artificial Intelligence (AI) and cybersecurity has catalyzed a transformative paradigm shift in the digital landscape, ushering in an era where advanced technological tools are harnessed to fortify digital defenses. The Artificial Intelligence in Cybersecurity market has emerged as a dynamic realm, encompassing a spectrum of trends and innovations that collectively shape the contours of this evolving landscape.

One prominent trend within the market pertains to the utilization of AI-driven algorithms for threat detection and mitigation. Traditional cybersecurity mechanisms often grapple with the sheer volume and complexity of modern-day cyber threats. AI-powered solutions, however, exhibit an unprecedented ability to swiftly identify anomalies, patterns, and deviations within network traffic and system behavior. This predictive prowess empowers organizations to preemptively combat potential breaches, bolstering their security posture.

Furthermore, the market's segmentation into various AI-powered cybersecurity applications amplifies its growth trajectory. One such segment is the intrusion detection and prevention systems. These systems employ machine learning algorithms to monitor network activities, promptly recognizing any unauthorized infiltrations or malicious activities. The efficacy of these AI-driven systems in swiftly discerning abnormal activities, even in large-scale networks, underscores their integral role in safeguarding digital environments.

Another segment gaining traction is the application of AI in behavioral biometrics. By intricately studying user behavior patterns, AI models establish a baseline of typical actions. Deviations from this baseline can then signal potential threats, whether it's an unauthorized user or a compromised account. This personalized approach significantly enhances security by minimizing false positives and enabling adaptive responses.

Moreover, the market landscape boasts of AI-infused threat intelligence platforms. These platforms amalgamate vast amounts of data from various sources, enabling AI algorithms to proactively identify emerging threats. Such systems possess the capability to analyze the ever-evolving tactics of cyber attackers, subsequently reinforcing defense strategies and rendering them more resilient.

The market's growth is further augmented by the burgeoning adoption of AI-driven security automation. Mundane and repetitive tasks that previously burdened cybersecurity teams can now be automated with AI, allowing human experts to focus on more strategic and complex aspects of threat mitigation. This symbiotic collaboration between AI and human expertise optimizes resource allocation, expedites response times, and minimizes vulnerabilities.

Nevertheless, this dynamic landscape is not devoid of challenges. As AI's role in cybersecurity amplifies, the potential for adversarial attacks on AI models looms large. Adversarial attacks involve manipulating AI algorithms by subtly altering inputs, thereby inducing misclassification or erroneous responses. The ongoing pursuit of robust AI models that are resistant to such attacks remains a vital research endeavor.

The global nature of cyber threats also necessitates an ethical and regulatory framework for the utilization of AI in cybersecurity. Striking a balance between effective threat mitigation and safeguarding individual privacy is imperative. The responsible deployment of AI technologies mandates transparent and accountable practices that assuage concerns surrounding data privacy and potential biases.

Artificial Intelligence In Cybersecurity Market Report Highlights

  • The increasing number of cyberattacks, the growing sophistication of cybercriminals, and the increasing complexity of IT infrastructure are driving the growth of the market.
  • AI is being used to automate security tasks, detect and respond to threats more quickly, and improve threat intelligence.
  • Some of the key AI technologies used in cybersecurity include machine learning, natural language processing, and artificial neural networks.
  • The network security, endpoint security, and cloud security segments are the major segments of the AI in cybersecurity market.
  • North America is the largest market for AI in cybersecurity, followed by Europe and Asia Pacific.
  • Some of the leading players in the AI in cybersecurity market include IBM, Cisco, Palo Alto Networks, Symantec, and Fortinet.

Top Leading Players

  • IBM Corporation
  • Palo Alto Networks, Inc.
  • Darktrace
  • Symantec Corporation (now part of Broadcom Inc.)
  • McAfee, LLC
  • Trend Micro Incorporated
  • FireEye, Inc.
  • Fortinet, Inc.
  • Cylance Inc. (now part of BlackBerry Limited)
  • Check Point Software Technologies Ltd.
  • Splunk Inc.
  • Sophos Group plc

Artificial Intelligence in Cybersecurity Market Segmentation

By Type:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Neural Networks
  • Others

By Application:

  • Threat Detection and Prevention
  • Anomaly Detection
  • Intrusion Detection and Prevention Systems (IDPS)
  • Malware Detection
  • User and Entity Behavior Analytics (UEBA)
  • Fraud Detection
  • Network Security
  • Cloud Security
  • Identity and Access Management (IAM)
  • Others

By Deployment Mode:

  • Cloud-based
  • On-premises
  • Hybrid

By Organization Size:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Vertical:

  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Government and Defense
  • IT and Telecommunications
  • Retail
  • Energy and Utilities
  • Manufacturing
  • Aerospace and Defense
  • Others

By Security Offering:

  • Network Security
  • Endpoint Security
  • Application Security
  • Cloud Security
  • Others

By Geography:

  • North America (USA, Canada, Mexico)
  • Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
  • Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
  • South America (Brazil, Argentina, Columbia, Rest of South America)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

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