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Generative artificial intelligence (AI) in cybersecurity refers to the application of AI models, specifically generative models like generative pre-trained transformer, to enhance cybersecurity practices. These models can generate human-like text, simulating behavior, creating synthetic data, or predicting potential attack scenarios. Generative AI models can identify unusual patterns in network traffic, user behavior, or system activity that might indicate a cyberattack.

The generative AI in cybersecurity market consists of sales, by entities (organizations, sole traders and partnerships), which is a transformative technology that strengthens cybersecurity measures by detecting, analyzing and countering cyber threats with unprecedented accuracy and speed. It serves a wide range of industries, including finance, healthcare, government, retail and technology, by addressing their unique security challenges.

The global generative ai in cyber security market was valued at $867.48 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 23.00%.

Evolution Of Cybersecurity Infrastructure

The evolution of cybersecurity infrastructure supported the growth of generative AI in the cyber security market in the historic period. Cybersecurity infrastructure has evolved from traditional endpoint security to more sophisticated, multi-layered security approaches, including advanced threat prevention, detection, and response. The adoption of generative AI has enabled the creation of more dynamic, adaptable security systems that can respond to evolving threats in real-time. AI and automation have transformed threat detection and response, with generative AI playing an increasingly significant role in both defending against and simulating cyberattacks. For instance, in June 2024, according to a report published by Fortinet Inc., a US-based cybersecurity company, the percentage of organizations with basic security measures such as visibility and segmentation rose from 13% to 20%, while those with advanced capabilities, such as orchestration and automation, increased from 13% to 23% in 2024. Hence, the evolution of cybersecurity infrastructure has fueled the growth of generative AI in the cybersecurity market.

Focus On Quantum-Safe Security Measures

Companies operating in generative AI in cybersecurity market are increasingly adopting generative AI for real-time threat detection and response, addressing emerging risks like deepfakes and AI-driven attacks. Additionally, there's a growing focus on quantum-safe security measures to future-proof against quantum computing threats. Real-time threat detection refers to the ability of cybersecurity systems to identify and respond to potential threats as they occur, minimizing the damage and preventing escalation. For instance, in November 2024, Accenture Plc, an Ireland-based professional services company, launched new services to enhance business and cyber resilience using generative AI, deepfake protection, and quantum-safe data security. It aims to help clients detect, respond to, and prevent threats in real-time. Key offerings include Secure AI Solutions for securing AI systems, Deepfake Protection to monitor and detect AI-driven threats, Business Cyber Crisis Recovery to quickly restore critical infrastructure after cyberattacks, and a Quantum Security Suite to ensure protection against quantum computing threats.

The global generative AI in cyber security market is fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 9.60% of the total market in 2023.

Generative AI In Cyber Security Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI in cyber security market as it emerges from the COVID-19 shut down.

Reasons to Purchase

Where is the largest and fastest-growing market for generative AI in cyber security? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative AI in cyber security market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider generative AI in cyber security market; and compares it with other markets.

The report covers the following chapters

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

6 Market Characteristics

7 Major Market Trends

8 Generative AI In Cyber Security Market - Macro Economic Scenario

9 Global Market Size and Growth

10 Global Generative AI In Cyber Security Market Segmentation

11 Generative AI In Cyber Security Market, Regional and Country Analysis

12 Asia-Pacific Market

13 Western Europe Market

14 Eastern Europe Market

15 North America Market

16 South America Market

17 Middle East Market

18 Africa Market

19 Competitive Landscape And Company Profiles

20 Other Major And Innovative Companies

21 Competitive Benchmarking

22 Competitive Dashboard

23 Key Mergers And Acquisitions

24 Opportunities And Strategies

25 Generative AI In Cyber Security Market, Conclusions And Recommendations

26 Appendix

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