[182 Pages Report] The Cognitive Security Market size was estimated at USD 19.50 billion in 2023 and expected to reach USD 25.46 billion in 2024, at a CAGR 31.73% to reach USD 134.26 billion by 2030.

Cognitive security includes using advanced technologies such as artificial intelligence (AI), machine learning (ML), and data analytics to detect threats and protect physical and digital assets. Cognitive security solutions are designed to learn and evolve, understanding the way users interact with enterprise systems and data to identify and respond to threats in real-time, thus creating a proactive and adaptive security posture. Application of cognitive security spans across various industries, including banking, financial services, insurance (BFSI), healthcare, retail, government, and defense. The end-use strategies include fraud detection, risk management, cyber defense, and threat intelligence. The rise in cyber-attacks and the complexity of threats have driven demand for more efficient security solutions, subsequently creating demand for cognitive security solutions. The expansion of connected devices and cloud services has created new vulnerabilities that cognitive security aims to address, thereby driving market growth. Technical limitations associated with integrating cognitive security solutions with legacy systems hampers the market growth. Continuous improvements in AI algorithms and computing power that augment the capabilities of cognitive security solutions are anticipated to create opportunities for the cognitive security market.

Component: Expanding usage of cognitive security services to ensure the smooth operation

Component services involve the essential functionalities required to ensure cognitive security systems’ smooth operation and effectiveness. These services encompass various critical tasks that form the backbone of the security infrastructure. Deployment and integration services focus on the methodical introduction and blending of cognitive security systems within existing organizational frameworks. These services require systematic planning and precise execution to guarantee seamless functionality and coherence with other technologies and protocols. Support and maintenance services are dedicated to the continued maintenance and enhancement of cognitive security systems. These offerings are important for ensuring that security applications remain updated, resilient, and capable of defending against evolving cyber threats. Training & consulting services are designed to elevate the knowledge and competencies of staff regarding cognitive security measures and technologies. These services provide the necessary instruction and insights to enable the workforce to effectively utilize, manage, and respond to the cognitive security system’s features and alerts. Cognitive security solutions use advanced technologies to provide robust and innovative mechanisms for securing digital environments. Biometric recognition technology uses physiological and behavioral characteristics to uniquely identify individuals, offering high security for access control and authentication processes. Digital signature recognition extends identity verification capabilities by authenticating documents and transactions electronically, effectively reducing the risk of forgery and unauthorized access. Real-time security analytics & visualization platform empowers organizations to analyze and visualize complex security data instantaneously, enabling proactive responses to potential security incidents and breaches. A unified log manager & data catalog provides a centralized system to collect, store, and manage log data from various sources, facilitating the monitoring, analysis, and compliance of security events and records.

Security Type: Need to deploy cognitive security solutions to tackle the growing risks of cybersecurity breaches

Application security focuses on sustaining software and devices that are free from threats. A compromised application may provide access to sensitive data it is supposed to protect. Security begins in the design phase before a program or device is deployed. Cloud security protects data stored online via cloud computing platforms from theft, leakage, and deletion. Methods of providing cloud security include firewalls, penetration testing, obfuscation, tokenization, virtual private networks (VPN), and avoiding public internet connections. Cybersecurity focuses on protecting computer systems from theft or destruction of the hardware, software, or electronic data and from disruption or misdirection of the services they provide. It encompasses a diverse range of practice encryption and firewall deployment to access control and data loss prevention. Endpoint security safeguards the corporate network when accessed through remote devices such as laptops or wireless mobile devices. Network security safeguards a computer network from intruders, targeted attackers, or opportunistic malware. It includes software and hardware technologies aiming to secure the fracture and the network. Physical security pertains to the protection of physical objects or areas from unauthorized access and misuse. This includes controlling access to facilities, equipment, and resources to prevent damage and theft.

Application: Growing potential of cognitive security for automated compliance management to help organization adheres to regulations

Anomaly detection & risk mitigation are critical elements in cognitive security aimed at identifying patterns that deviate from normal behavior within a network or system. This process utilizes advanced algorithms and machine learning techniques to indicate unusual activity that could reveal a cybersecurity threat, such as data breaches, insider threats, or advanced persistent threats. It is essential for organizations that manage large volumes of data and network traffic where manual monitoring is impractical. Threat intelligence platforms leverage cognitive computing to gather, analyze, and interpret large volumes of data on emerging and existing threats. These insights allow organizations to understand adversaries’ tactics, techniques, and procedures (TTPs), predict future attacks, and adjust their security measures accordingly. Cognitive-based threat intelligence provides dynamic, context-rich information that enhances the organization’s ability to anticipate threats and proactively bolsters defense mechanisms against potential security breaches. Automated compliance management systems utilize cognitive technologies to streamline the complex and resource-intensive process of ensuring adherence to regulatory standards and internal policies. These systems can continuously monitor and analyze the IT environment to detect and report deviations from compliance requirements. They help organizations maintain up-to-date compliance posture by providing insights and recommendations for remediation, thereby reducing the risk of non-compliance penalties and protecting the organization’s reputation.

Deployment Mode: Emerging preference for on-cloud deployment solutions owing to their flexibility and cost-efficiency

On-cloud deployment refers to hosting the cognitive security solution on the service provider’s cloud infrastructure. This mode allows organizations to leverage robust computational resources without significant investment in physical hardware. On-cloud solutions are highly scalable and can easily adapt to the varying demands of the organization. They also offer the advantage of regular updates and patches, ensuring that security measures are always up to date. The main advantages of on-cloud deployment include lower upfront costs, flexibility, and scalability. The cognitive security solution is installed and runs on the organization’s servers and infrastructure in on-premises deployment. This mode offers organizations complete control over their data and systems, which is crucial for industries with stringent regulatory requirements or those handling sensitive information. Advantages of this approach include greater control over data security and privacy and the ability to customize solutions to meet specific organizational needs.

Enterprise Type: The high complexity of operational needs and significant resource availability of large enterprises

Large enterprises are characterized by their expansive operational scale, significant financial resources, and broad customer base. These organizations typically have a global footprint, complex organizational structures, and a large volume of data to manage. Large enterprises are at the forefront of adopting such technologies in the context of cognitive security. This is primarily due to their need for advanced security measures to protect against sophisticated cyber threats targeting their vast and varied IT infrastructure. Cognitive security can learn, adapt, and predict threats by analyzing massive data sets and offers these enterprises an edge in preemptively identifying and mitigating potential security breaches.

Furthermore, large enterprises tend to have the financial capability to invest in leading-edge solutions such as cognitive security systems. Small & medium-sized enterprises (SMEs) often face similar cyber threats but lack the substantial budgets of their larger counterparts to invest in comprehensive security solutions. Although the need for robust security measures is well recognized within SMEs, adopting highly advanced systems such as cognitive security is limited. As cognitive security technologies become more widespread and cost-effective, there is a growing interest among SMEs in adopting scalable solutions that can provide them with a higher level of security without the need for significant resource allocation.

Vertical: High value of assets in the banking, financial services & insurance sectors driving the adoption of cognitive security solutions

The aerospace & defense sector leverages cognitive security in safeguarding sensitive data, monitoring cyber-physical systems, and ensuring secure communication channels. The sophisticated nature of threats in this domain makes cognitive security valuable. Cognitive security is crucial in protecting vehicular systems and infrastructure from cyber threats, ensuring passenger safety, and securing data exchange with the rise of connected automobiles and autonomous driving. In the banking, financial services & insurance (BFSI) sector, cognitive security defends against fraud, secures online transactions, and protects sensitive customer information. Given the financial motivations of cybercriminals, cognitive security is highly prioritized in this sector.

In the building, construction & real estate sector, cognitive security focuses on securing smart building technologies and IoT devices, ensuring the confidentiality, integrity, and availability of operational and customer data. In the consumer goods & retail industry, cognitive security protects against threats to eCommerce platforms, secures customer data, and prevents financial fraud, helping maintain trust and safety in digital retail environments. Education focuses on safeguarding digital learning platforms, protecting student and staff data, and ensuring the integrity of academic information and resources. Cognitive security is crucial for protecting energy and utility infrastructure against critical operational technology systems threats, ensuring uninterrupted supply, and safeguarding against espionage or sabotage. In the government & public sector, it is used to secure sensitive government data, defend against threats to national security, and maintain the integrity and availability of public services. In the healthcare & life sciences, protecting patient information, securing healthcare networks, and ensuring the reliability of life-saving medical devices against evolving cyber threats is vital. The IT sector inherently relies on cognitive security for threat detection, data protection, and ensuring the security of software and hardware solutions due to its digital nature. In the manufacturing industry, cognitive security solutions protect against industrial espionage and sabotage and secure industrial control systems and supply chains from cyber-physical threats. The media & entertainment industry focuses on protecting intellectual property, preventing data breaches, and ensuring the secure distribution of digital content. For telecommunication, cognitive security is essential for defending network infrastructure, protecting subscriber information, and ensuring the integrity and availability of communication services. Cognitive security in travel & hospitality aims to protect customer data, secure online booking systems, and safeguard financial transactions against cyber theft and fraud.

Regional Insights

The cognitive security market in the Americas is fast-growing due to the prevalence of cyber-attacks and a strong focus on innovation. Customers are aware of security threats and are willing to invest in advanced solutions, including artificial intelligence and machine learning-driven security systems. The Americas has many major cognitive security patent-holders, indicating robust research and development. The EU’s approach to cognitive security is highly regulated, with standards such as GDPR impacting consumer needs and purchasing behavior. Customers prize solutions that ensure compliance without sacrificing performance. The EU’s Horizon 2020 program has funded research and innovation, reflecting a commitment to advancing this field. The Middle East and Africa’s cognitive security market is rapidly evolving with the expansion of the telecommunication industry, creating the need for cybersecurity solutions. Asia-Pacific’s cognitive security market is rapidly developing due to heavy investments in AI and cybersecurity from both the private and public sectors, boosting the region’s patent filings and highlighting a commitment to becoming a major region in cognitive security technology.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Cognitive Security Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Cognitive Security Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Cognitive Security Market, highlighting leading vendors and their innovative profiles. These include Acalvio Technologies, Inc., Amazon Web Services, Inc., BlackBerry Limited, Broadcom, Inc., Capgemini, Check Point Software Technologies Ltd., Cisco Systems, Inc., Cloudflare, Inc., CrowdStrike Holdings, Inc., CY4GATE SpA, Cyberark Software Ltd., Darktrace Holdings Limited, Deep Instinct Ltd., DXC Technology Company, Feedzai, FireEye, Inc., Fortinet, Inc., Google LLC by Alphabet Inc., Infosys Limited, International Business Machines Corporation, LexisNexis Risk Solutions by RELX, LogRhythm, Inc., Mastercard Incorporated, McAfee LLC, Microsoft Corporation, NEOM Company, Nozomi Networks Inc., NVIDIA Corporation, Okta, Inc., Oracle Corporation, Palo Alto Networks, Inc., Proofpoint, Inc., RSA Security LLC, Samsung Electronics Co., Ltd., SAP SE, Securonix, Inc., SparkCognition, Inc., Tenable, Inc., and Vectra AI, Inc..

Market Segmentation & Coverage

This research report categorizes the Cognitive Security Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Services
      • Deployment & Integration
      • Support & Maintenance
      • Training & Consulting
    • Solutions
      • Biometric Recognition
      • Digital Signature Recognition
      • Real-time Security Analytics & Visualization Platform
      • Unified Log Manager & Data Catalog
  • Security Type
    • Application
    • Cloud
    • Cybersecurity
    • Endpoint
    • Network
    • Physical
  • Application
    • Anomaly Detection & Risk Mitigation
    • Automated Compliance Management
    • Threat Intelligence
  • Deployment Mode
    • On-Cloud
    • On-Premises
  • Enterprise Type
    • Large Enterprises
    • Small & Medium-sized Enterprises
  • Vertical
    • Aerospace & Defense
    • Automotive & Transportation
    • Banking, Financial Services & Insurance
    • Building, Construction & Real Estate
    • Consumer Goods & Retail
    • Education
    • Energy & Utilities
    • Government & Public Sector
    • Healthcare & Life Sciences
    • Information Technology
    • Manufacturing
    • Media & Entertainment
    • Telecommunication
    • Travel & Hospitality

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Cognitive Security Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Cognitive Security Market?
  3. What are the technology trends and regulatory frameworks in the Cognitive Security Market?
  4. What is the market share of the leading vendors in the Cognitive Security Market?
  5. Which modes and strategic moves are suitable for entering the Cognitive Security Market?