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Generative AI in Cybersecurity Market By Type (Network Security, End-Point security and Others), By Technology, By Component and By End-User - Global Industry Outlook, Key Companies (IBM Corporation, CrowdStrike, Palo Alto Networks and others), Trends and Forecast 2023-2032

Published on : April-2023  Report Code : RC-646  Pages Count : 258  Report Format : PDF
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Market Overview

The Global Generative AI in Cybersecurity Market held a value of USD 17.8 billion in 2023 and is expected to show promising growth as the market is projected to have a USD 146.9 billion market value at a CAGR of 26.4% in the forthcoming years.

Generative AI in Cybersecurity  Market Growth Analysis

Generative Al in Cybersecurity refers to using generative artificial intelligence models like GANs to improve the security system, threat detection and response to malware and cyber-attacks. The generative Al stimulates Cybersecurity to evolve along with the increasing security threats. Generative AI improves cybersecurity by generating artificial data based on threats to train models to face and defend against cyber-attacks & enable a suitable response to security incidents. 

Generative Artificial intelligence works on various aspects of Cybersecurity involving data protection, threat detection, rapid response & security testing. The incorporation of generative Al in cybersecurity has improved its threat detection accuracy, quicker response time to cyber threats, reduced the possibility of false alarms & increased the ability to evolve attack techniques rapidly.

Market Dynamic

 In the context of generative AI in the Cybersecurity market, several key dynamics are influencing its growth. Rapid advancements in AI & machine learning technologies are driving the growth of generative AI in the Cybersecurity market. This dynamic landscape is marked by the continuous development of effective self-learning AI-driven security solutions. 

As Cybersecurity threats are becoming more advanced, organizations seeking advanced generative AI solutions to fortify their defense are leading the market growth. Global events, budget constraints and the growing awareness about security threats among consumers & collaborations between cybersecurity companies & AI technology giants are also shaping the future of this market.

Research Scope and Analysis

By Type

Network security is a vital type of cybersecurity that is primarily concerned with the safeguarding of computer network systems & the data that is transmitted through them. In this system if they detect data transmitted from an unknown source, data breaches and cyber-attacks. The network security services include a variety of elements like firewalls, intrusion detection systems, virtual private networks & user authentication which enable the data protection levels higher.

In this network, firewalls are the first line of defense as they defend, monitor and control the incoming & outgoing data traffic. they can be hardware or software-based and customized according to the use. Network security is crucial in today's interconnected world as it helps to prevent data breaches, protect sensitive information & maintain the overall security system of the organization.

By Technology

In the technological segment, the generative adversarial network plays a major role in driving the domain of generative AI in cybersecurity. The generative adversarial network (GAN) is a class of machine learning models that are designed to generate data by learning from an already existing database. This network consists of two neural networks, the generator & the discriminator that are engaged in a continuous adversarial process. The generator's role is to artificially create a set of data that consists of images & characters while the discriminator's task is to differentiate between the real database & the artificial database created by the generator. 

In the context of cybersecurity, this network is used for several critical applications such as generating artificial data to train security models to stimulate cyber threats. These tests are essential for testing and strengthening the security system without exposing the real database.

Generative AI in Cybersecurity  Market Technology Analysis

By Component

Positioned as a major driver of market growth, the service segment in the generative AI in the cybersecurity sector which is set to hold a substantial portion of market in the upcoming years. Services in this market have various modes of application like consulting, training, technical support & management services provided by the Cybersecurity firm. The demand for service is anticipated to make a notable contribution to the global generative AI in the Cybersecurity market. 

The service providers are now shifting their focus on offering new components to the AI like machine learning algorithms, sensor data analysis, computer vision & speech recognition. This application or feature enhances the capabilities of the Generative AI to tackle the new Cybersecurity threats.

By End-User

The end-user segment is dominated by the banking, financial services and insurance sectors as they distinctly stand out, commanding a substantial 28% of the market share in 2023. This segment is popular because it uses generative AI-integrated Cybersecurity programs extensively to combat and avoid data fraud, enhance risk protection & fortify the protection system of customer data. banking, financial services and insurance sectors.

Further, the government & defense sector have also embraced the idea of using generative AI to boost their Cybersecurity alert, safeguard critical infrastructure information, detect advanced threats and breaches and most importantly reinforce national security. The capability to access an extensive database & real-time network traffic monitoring helps the generative AI to identify & counter the major Cybersecurity threats.

The Global Generative AI in Cybersecurity Market Report is segmented on the basis of the following:

By Type

  • Network security
  • End-Point Security
  • Application Security
  • Cloud Security

By Technology

  • Generative Adversarial Networks (GANs)
  • Variational Auto-encoders (VAEs)
  • Reinforced Learning (RL)
  • Deep Neural Networks (DNNs)
  • Natural Language Processing (NLP)

By Component

  • Hardware
  • Software
  • Services

By End-user

  • Banking, Financial Services and Insurance (BFSI)
  • IT & Telecommunication
  • Healthcare and Life Science
  • Government and Defense
  • Retail and E-commerce
  • IT and Telecommunication
  • Others

Regional Analysis

In 2023, North America emerged as the dominant revenue generator in the global generative AI in Cybersecurity market as it has a substantial market share of 38.2%. This region's dominance can be attributed to its expanding technological ecosystem where major industries like finance, healthcare, and government are significantly mining with increasing Cybersecurity threats. 

This region constantly invests in new innovative cybersecurity ideas & cutting-edge technologies to counter the increasing cybersecurity threat. Sectors like finance and healthcare are now relying on advanced security measures to protect sensitive data, making generative AI an indispensable tool in Cybersecurity systems. So, combining these factors shows that North America play a pivotal role in the growth of Global generative AI in the security market.

Generative AI in Cybersecurity  Market Regional Analysis

By Region

North America
  • The U.S.
  • Canada
Europe
  • Germany
  • The U.K.
  • France
  • Italy
  • Russia
  • Spain
  • Benelux
  • Nordic
  • Rest of Europe
Asia-Pacific
  • China
  • Japan
  • South Korea
  • India
  • ANZ
  • ASEAN
  • Rest of Asia-Pacific
Latin America
  • Brazil
  • Mexico
  • Argentina
  • Colombia
  • Rest of Latin America
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Egypt
  • Rest of MEA

Competitive Landscape

The Global Generative AI in Cybersecurity is witnessing a dynamic transformation as both major companies who have established their name in the market and newcomers are using all their resources to fortify their positions. this shift can be attributed to the increased investments in new cutting-edge technologies such as machine learning, neural networks & natural image processing. These investments push the companies to enhance their Al-driven cybersecurity defenses to stay ahead in this cutting-edge competition. 

As the major industry giants have recognized the role of Artificial intelligence in the further development of Cybersecurity , they are directing their investments in different ways to keep their position ahead. They use organic and inorganic growth strategies where organic includes internal research and development to get an accurate and error-free generative Al in Cybersecurity while the inorganic strategies encompass mergers, acquisitions and collaborations with other companies to jointly develop or work on some project.

Some of the prominent players in the Global Generative AI in Cybersecurity Market are:
  • IBM Corporation
  • CrowdStrike
  • Palo Alto Networks
  • Acalvio Technologies Inc.
  • Amazon Web Services Inc.
  • Cylance Inc. (Blackberry)
  • Darktrace
  • FireEye Inc.
  • Fortinet Inc.
  • Intel Corporation
  • LexisNexis
  • Micron Technology Inc.
  • Other Key Players

COVID-19 Pandemic & Recession: Impact on the Global Generative AI in Cybersecurity Market:

The COVID-19 pandemic and the following economic recession have a multifaced impact on the global generative AI in the cybersecurity market. As the pandemic hit it accelerated the need for advanced cybersecurity solutions as many major companies across the globe transitioned to a work-from-home culture., increasing the attack surface for security threats. This pushed the demand for generative AI in Cybersecurity . On the other hand, the economic recession due to economic uncertainties led to budget constraints for some businesses, potentially affecting the companies' capability to invest in new cybersecurity technologies. As the pandemic shifted the attention toward increasing cyber-attacks many companies started working to enforce their generative AI into their Cybersecurity system.

Report Details

                                Report Characteristics
Market Size (2023) USD 17.8 Bn
Forecast Value (2032) USD 146.9 Bn
CAGR (2023-2032) 26.4%
Historical Data 2017 - 2022
Forecast Data 2023 - 2032
Base Year 2022
Estimate Year 2023
Report Coverage Market Revenue Estimation, Market Dynamics, Competitive Landscape, Growth Factors and etc.
Segments Covered By Type (Network Security, End-Point Security, Application Security and Cloud Security), By Technology (Generative Adversarial Networks, Variational Auto-encoders, Reinforced Learning, Deep Neural Networks and Natural Language Processing), By Component (Hardware, Software and Services), By End-user (Banking, Financial Services and Insurance, IT & Telecommunication, Healthcare and Life Science, Government & Defense, Retail and E-commerce IT and Telecommunication and Others)
Regional Coverage North America – The US and Canada; Europe – Germany, The UK, France, Russia, Spain, Italy, Benelux, Nordic, & Rest of Europe; Asia- Pacific– China, Japan, South Korea, India, ANZ, ASEAN, Rest of APAC; Latin America – Brazil, Mexico, Argentina, Colombia, Rest of Latin America; Middle East & Africa – Saudi Arabia, UAE, South Africa, Turkey, Egypt, Israel, & Rest of MEA
Prominent Players IBM Corporation, CrowdStrike, Palo Alto Networks, Acalvio Technologies Inc., Amazon Web Services Inc., Cylance Inc.(Blackberry), Darktrace, FireEye Inc., Fortinet Inc., Intel Corporation, LexisNexis, Micron Technology Inc., and Other Key Players
Purchase Options We have three licenses to opt for: Single User License (Limited to 1 user), Multi-User License (Up to 5 Users), and Corporate Use License (Unlimited User) along with free report customization equivalent to 0 analyst working days, 3 analysts working days and 5 analysts working days respectively.

 

Frequently Asked Questions

  • What is generative Al in Cyber Security?

    Generative Al in Cyber-Security refers to using generative artificial intelligence models like GANs to improve the security system, threat detection and response to malware and cyber-attacks.

  • How big is the Global AI in Cyber Security Market?

    The Global Generative AI in Cyber Security Market is expected to held a market value of USD 17.8 billion in 2023.

  • Who are the major key players in the Global Generative AI in Cyber Security Market?

    The major key players in the Global Generative AI in Cyber Security Market are IBM Corporation, CrowdStrike, Palo Alto Networks, Acalvio Technologies Inc., Amazon Web Services Inc., Cylance Inc.(Blackberry), Darktrace, FireEye Inc., Fortinet Inc., Intel Corporation, LexisNexis, Micron Technology Inc. and others.

  • What are the primary benefits of generative AI in cybersecurity?

    Generative AI improves cybersecurity by generating artificial data based on threats to train models to face and defend against cyber-attacks & enable a suitable response to security incidents.

  • Contents

      1.Introduction
        1.1.Objectives of the Study
        1.2.Market Scope
        1.3.Market Definition and Scope
      2.Generative AI in Cybersecurity Market Overview
        2.1.Global Generative AI in Cybersecurity Market Overview by Type
        2.2.Global Generative AI in Cybersecurity Market Overview by Application
      3.Generative AI in Cybersecurity Market Dynamics, Opportunity, Regulations, and Trends Analysis
        3.1.Market Dynamics
          3.1.1.Generative AI in Cybersecurity Market Drivers
          3.1.2.Generative AI in Cybersecurity Market Opportunities
          3.1.3.Generative AI in Cybersecurity Market Restraints
          3.1.4.Generative AI in Cybersecurity Market Challenges
        3.2.Emerging Trend/Technology
        3.3.PESTLE Analysis
        3.4.PORTER'S Five Forces Analysis
        3.5.Technology Roadmap
        3.6.Opportunity Map Analysis
        3.7.Case Studies
        3.8.Opportunity Orbits
        3.9.Pricing Analysis
        3.10.Ecosystem Analysis
        3.11.Supply/Value Chain Analysis
        3.12.Covid-19 & Recession Impact Analysis
        3.13.Product/Brand Comparison
      4.Global Generative AI in Cybersecurity Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Type, 2017-2032
        4.1.Global Generative AI in Cybersecurity Market Analysis by By Type: Introduction
        4.2.Market Size and Forecast by Region
        4.3.Network security
        4.4.End-Point Security
        4.5.Application Security
        4.6.Cloud Security
      5.Global Generative AI in Cybersecurity Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Technology, 2017-2032
        5.1.Global Generative AI in Cybersecurity Market Analysis by By Technology: Introduction
        5.2.Market Size and Forecast by Region
        5.3.Generative Adversarial Networks (GANs)
        5.4.Variational Auto-encoders (VAEs)
        5.5.Reinforced Learning (RL)
        5.6.Deep Neural Networks (DNNs)
        5.7.Natural Language Processing (NLP)
      6.Global Generative AI in Cybersecurity Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By Component, 2017-2032
        6.1.Global Generative AI in Cybersecurity Market Analysis by By Component: Introduction
        6.2.Market Size and Forecast by Region
        6.3.Hardware
        6.4.Software
        6.5.Services
      7.Global Generative AI in Cybersecurity Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by By End-user, 2017-2032
        7.1.Global Generative AI in Cybersecurity Market Analysis by By End-user: Introduction
        7.2.Market Size and Forecast by Region
        7.3.Banking, Financial Services and Insurance (BFSI)
        7.4.IT & Telecommunication
        7.5.Healthcare and Life Science
        7.6.Government and Defense
        7.7.Retail and E-commerce
        7.8.IT and Telecommunication
        7.9.Others
      10.Global Generative AI in Cybersecurity Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2017-2032
        10.1.North America
          10.1.1.North America Generative AI in Cybersecurity Market: Regional Analysis, 2017-2032
            10.1.1.1.The US
            10.1.1.2.Canada
        10.2.1.Europe
          10.2.1.Europe Generative AI in Cybersecurity Market: Regional Trend Analysis
            10.2.1.1.Germany
            10.2.1.2.France
            10.2.1.3.UK
            10.2.1.4.Russia
            10.2.1.5.Italy
            10.2.1.6.Spain
            10.2.1.7.Nordic
            10.2.1.8.Benelux
            10.2.1.9.Rest of Europe
        10.3.Asia-Pacific
          10.3.1.Asia-Pacific Generative AI in Cybersecurity Market: Regional Analysis, 2017-2032
            10.3.1.1.China
            10.3.1.2.Japan
            10.3.1.3.South Korea
            10.3.1.4.India
            10.3.1.5.ANZ
            10.3.1.6.ASEAN
            10.3.1.7.Rest of Asia-Pacifc
        10.4.Latin America
          10.4.1.Latin America Generative AI in Cybersecurity Market: Regional Analysis, 2017-2032
            10.4.1.1.Brazil
            10.4.1.2.Mexico
            10.4.1.3.Argentina
            10.4.1.4.Colombia
            10.4.1.5.Rest of Latin America
        10.5.Middle East and Africa
          10.5.1.Middle East and Africa Generative AI in Cybersecurity Market: Regional Analysis, 2017-2032
            10.5.1.1.Saudi Arabia
            10.5.1.2.UAE
            10.5.1.3.South Africa
            10.5.1.4.Israel
            10.5.1.5.Egypt
            10.5.1.6.Turkey
            10.5.1.7.Rest of MEA
      11.Global Generative AI in Cybersecurity Market Company Evaluation Matrix, Competitive Landscape, Market Share Analysis, and Company Profiles
        11.1.Market Share Analysis
        11.2.Company Profiles
        11.3.IBM Corporation
          11.3.1.Company Overview
          11.3.2.Financial Highlights
          11.3.3.Product Portfolio
          11.3.4.SWOT Analysis
          11.3.5.Key Strategies and Developments
        11.4.CrowdStrike
          11.4.1.Company Overview
          11.4.2.Financial Highlights
          11.4.3.Product Portfolio
          11.4.4.SWOT Analysis
          11.4.5.Key Strategies and Developments
        11.5.Palo Alto Networks
          11.5.1.Company Overview
          11.5.2.Financial Highlights
          11.5.3.Product Portfolio
          11.5.4.SWOT Analysis
          11.5.5.Key Strategies and Developments
        11.6.Acalvio Technologies Inc.
          11.6.1.Company Overview
          11.6.2.Financial Highlights
          11.6.3.Product Portfolio
          11.6.4.SWOT Analysis
          11.6.5.Key Strategies and Developments
        11.7.Amazon Web Services Inc.
          11.7.1.Company Overview
          11.7.2.Financial Highlights
          11.7.3.Product Portfolio
          11.7.4.SWOT Analysis
          11.7.5.Key Strategies and Developments
        11.8.Cylance Inc. (Blackberry)
          11.8.1.Company Overview
          11.8.2.Financial Highlights
          11.8.3.Product Portfolio
          11.8.4.SWOT Analysis
          11.8.5.Key Strategies and Developments
        11.9.Darktrace
          11.9.1.Company Overview
          11.9.2.Financial Highlights
          11.9.3.Product Portfolio
          11.9.4.SWOT Analysis
          11.9.5.Key Strategies and Developments
        11.10.FireEye Inc.
          11.10.1.Company Overview
          11.10.2.Financial Highlights
          11.10.3.Product Portfolio
          11.10.4.SWOT Analysis
          11.10.5.Key Strategies and Developments
        11.11.Fortinet Inc.
          11.11.1.Company Overview
          11.11.2.Financial Highlights
          11.11.3.Product Portfolio
          11.11.4.SWOT Analysis
          11.11.5.Key Strategies and Developments
        11.12.Intel Corporation
          11.12.1.Company Overview
          11.12.2.Financial Highlights
          11.12.3.Product Portfolio
          11.12.4.SWOT Analysis
          11.12.5.Key Strategies and Developments
        11.13.Micron Technology Inc.
          11.13.1.Company Overview
          11.13.2.Financial Highlights
          11.13.3.Product Portfolio
          11.13.4.SWOT Analysis
          11.13.5.Key Strategies and Developments
        11.14.Other Key Players
          11.14.1.Company Overview
          11.14.2.Financial Highlights
          11.14.3.Product Portfolio
          11.14.4.SWOT Analysis
          11.14.5.Key Strategies and Developments
      12.Assumptions and Acronyms
      13.Research Methodology
      14.Contact
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