PUBLISHER: The Business Research Company | PRODUCT CODE: 1695930
PUBLISHER: The Business Research Company | PRODUCT CODE: 1695930
Generative AI In Cyber Security Global Market Opportunities And Strategies To 2034
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
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
The report covers the following chapters
Markets Covered:
Table of Contents
1 Executive Summary
- 1.1 Generative AI In Cyber Security - Market Attractiveness And Macro economic Landscape
2 Table Of Contents
3 List Of Tables
4 List Of Figures
5 Report Structure
6 Market Characteristics
- 6.1 General Market Definition
- 6.2 Summary
- 6.3 Generative AI In Cyber Security Market Definition And Segmentations
- 6.4 Market Segmentation By Type
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
