The AI Based Data Security Market is Predict to reach USD 11.3 Billion by 2031, at a CAGR of 34.7%

21-Nov-2024 | Report Format: Electronic (PDF)

AI Based Data Security Market Growth, Trends and Report Highlights

According to a new report, published by KBV research, The Global AI Based Data Security Market size is expected to reach $11.3 billion by 2031, rising at a market growth of 34.7% CAGR during the forecast period.

The Large Enterprises segment is leading the Global AI Based Data Security Market by Organization Size in 2023; thereby, achieving a market value of $6.8 billion by 2031. Large enterprises often have complex IT infrastructures and handle vast amounts of sensitive data, making advanced security measures critical. AI-based data security solutions offer these organizations enhanced threat detection, incident response, and compliance management capabilities. The scalability and sophistication of AI-driven tools are well-suited to meet the demanding security needs of large enterprises, ensuring robust protection against evolving cyber threats.

North America AI Based Data Security Market Size - By Region

The Hardware segment is experiencing a CAGR of 35.2% during (2024 - 2031). Hardware components, such as AI-optimized processors and security appliances, are essential for implementing robust data security measures. These components are critical for running AI algorithms efficiently and securely, providing the necessary computational power and infrastructure to support advanced security applications. The demand for specialized hardware is driven by the need for enhanced processing capabilities to handle complex AI models and large datasets, ensuring high performance and security in various environments.

The Machine Learning (ML) segment is generating the maximum revenue in the Global AI Based Data Security Market by Technology in 2023; thereby, achieving a market value of $6.7 billion by 2031. This dominance is due to the ability of ML algorithms to learn from vast amounts of data, identify anomalies, and detect potential security threats with high accuracy. ML models are extensively used for predictive analysis, threat detection, and automated responses to security incidents. ML algorithms' continuous improvement and adaptation enhance their effectiveness in mitigating evolving cyber threats, making them a cornerstone of AI-based data security solutions.

The On-Premises segment is experiencing a CAGR of 35.2% during (2024 - 2031). Despite the growing popularity of cloud-based solutions, many organizations, particularly those with stringent data privacy and regulatory requirements, continue to rely on on-premises deployments. AI-powered on-premises security solutions offer robust protection tailored to specific organizational needs, ensuring data sovereignty, compliance, and control over security infrastructure. These solutions are essential for businesses that handle sensitive information and require direct oversight of their security measures.

The Network Security segment held the highest revenue in the Global AI Based Data Security Market by Security Type in 2023; thereby, achieving a market value of $3.5 billion by 2031. This segment's prominence is attributed to the increasing need for robust network protection solutions that can detect and mitigate threats in real time. AI-enhanced network security solutions provide advanced threat detection, automated response capabilities, and continuous monitoring, essential in defending against sophisticated cyberattacks targeting network infrastructure.

The Healthcare market is expected to witness a CAGR of 34.3% during (2024 - 2031). The digital transformation within the healthcare industry, characterized by the widespread use of electronic health records (EHRs) and telemedicine, has heightened the vulnerability to cyberattacks. AI-based data security solutions are indispensable for protecting sensitive patient information, maintaining the integrity and confidentiality of healthcare data, and adhering to rigorous health regulations. These AI-driven solutions provide advanced threat detection, risk assessment, and rapid response mechanisms crucial for safeguarding patient data from unauthorized access and breaches.

Full Report: https://www.kbvresearch.com/ai-based-data-security-market/

The North America region dominated the Global AI Based Data Security Market by Region in 2023; thereby, achieving a market value of $4.2 billion by 2031. The Europe region is expected to witness a CAGR of 34.2% during (2024 - 2031). Additionally, The Asia Pacific region would registers a CAGR of 35.7% during (2024 - 2031).

List of Key Companies Profiled

  • IBM Corporation
  • Microsoft Corporation
  • Cisco Systems, Inc.
  • Oracle Corporation
  • Palo Alto Networks, Inc.
  • CrowdStrike Holdings, Inc.
  • McAfee Corp.
  • Trend Micro, Inc.
  • Fortinet, Inc.
  • Check Point Software Technologies Ltd.

AI Based Data Security Market Report Segmentation

By Organization Size

  • Large Enterprises
  • Small and Medium Enterprises (SMEs)

By Component

  • Software
  • Hardware
  • Services

By Technology

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Context-Aware Computing

By Deployment Type

  • Cloud-Based
  • On-Premises

By Security Type

  • Network Security
  • Endpoint Security
  • Application Security
  • Database Security
  • Cloud Security & Others

By End-User Industry

  • BFSI
  • Healthcare
  • Retail & E-commerce
  • IT & Telecom
  • Government & Defense
  • Energy & Utilities
  • Other End-User Industry

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

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