The Generative AI Cybersecurity market research study involved extensive secondary sources, directories, journals, and paid databases for secondary research. Primary sources were mainly industry experts from the core and related industries, preferred cybersecurity providers offering generative AI-infused solutions, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.
Secondary Research
In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. Additional data was gathered by utilizing other secondary sources, such as blogs, government whitepapers, journals, and vendor websites. The spending on generative AI cybersecurity by different nations was gathered from the corresponding sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to software, services, deployment mode, technology, vertical, and region, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and generative AI cybersecurity expertise; related key executives from generative AI cybersecurity solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.
Primary interviews were conducted to gather qualitative and quantitative insights, which include but are not limited to market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research was also deployed to assist in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using generative AI cybersecurity solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of generative AI cybersecurity solutions and services, which would impact the overall generative AI cybersecurity market.
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Market Size Estimation
Multiple approaches were adopted for estimating and forecasting the generative AI cybersecurity market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.
Market Size Estimation Methodology-Top-down approach
In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the generative AI cybersecurity market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on breadth of software and services according to security type, deployment modes, and end-users. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.
Market Size Estimation Methodology-Bottom-up approach
In the bottom-up approach, the adoption rate of generative AI cybersecurity solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of generative AI cybersecurity solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.
Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the generative AI cybersecurity market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major generative AI cybersecurity providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall generative AI cybersecurity market size and segments’ size were determined and confirmed using the study.
Global Generative AI Cybersecurity Market Size: Bottom-Up and Top-Down Approach:
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Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Market Definition
Generative AI cybersecurity includes the techniques & technology used to secure generative AI systems, as well as the revolutionary impact of generative AI tools on cybersecurity practices. The scope of generative AI cybersecurity market includes two key angles:
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Cybersecurity with generative AI: investigates how generative AI techniques are transforming the protection of enterprise security architecture, apps, networks, and data. Robust real-time anomaly detection, enhanced threat identification, and advanced threat hunting are all made possible by cybersecurity enhanced by generative AI.
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Cybersecurity for generative AI: focuses on implementing advanced cybersecurity technologies, tools, policies, and practices specifically designed to protect generative AI from threats and vulnerabilities. This involves strategies such as adversarial machine learning, differential privacy, federated learning security, and secure model deployment, aimed at safeguarding data, AI models, and deployment environments.
Stakeholders
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Generative AI-based cybersecurity solution vendors
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Cybersecurity solution vendors for securing generative AI
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Business analysts
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Cloud service providers
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Consulting service providers
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Enterprise end-users
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Distributors and Value-added Resellers (VARs)
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Government agencies
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Independent Software Vendors (ISV)
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Managed service providers
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Market research and consulting firms
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Support & maintenance service providers
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System Integrators (SIs)/migration service providers
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Technology providers
Report Objectives
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To define, describe, and predict the generative AI cybersecurity market by offering (software and services), generative AI-based cybersecurity, cybersecurity for generative AI, security type, end-user, and region
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To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
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To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
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To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the generative AI cybersecurity market
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To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
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To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
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To profile key players and comprehensively analyze their market rankings and core competencies.
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To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the generative AI cybersecurity market
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To analyze the impact of recession across all the regions across the generative AI cybersecurity market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:
Product Analysis
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Product quadrant, which gives a detailed comparison of the product portfolio of each company.
Geographic Analysis
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Further breakup of the North American generative AI cybersecurity market
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Further breakup of the European generative AI cybersecurity market
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Further breakup of the Asia Pacific generative AI cybersecurity market
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Further breakup of the Middle Eastern & African generative AI cybersecurity market
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Further breakup of the Latin America generative AI cybersecurity market
Company Information
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Detailed analysis and profiling of additional market players (up to five)
Growth opportunities and latent adjacency in Generative AI Cybersecurity Market