The Applied AI In Cybersecurity Market is being driven by Escalating volume and sophistication of cyber threats
The Applied AI In Cybersecurity Market is expected to grow at a CAGR of 25.4% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 45560.2 million. The application of generative artificial intelligence (AI) is revolutionizing the global applied AI in cybersecurity market. This trend is marked by the increasing integration of AI security copilots or assistants into security operations platforms. These tools go beyond conventional AI uses for pattern recognition and anomaly detection, employing large language models (LLMs) to create an interactive, collaborative partner for security analysts. These generative AI tools enable security professionals, regardless of skill level, to effectively investigate complex incidents, hunt for threats, and analyze malicious code. By democratizing security expertise and significantly reducing mean time to respond (MTTR) to threats, this trend is a game-changer in the cybersecurity landscape.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 25.4% |
Market growth 2025-2029 |
USD 45560.2 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
21.1 |
Key countries |
US, Canada, China, UK, Germany, France, Japan, Mexico, India, and Spain |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of cybersecurity, Applied Artificial Intelligence (AI) is revolutionizing the industry with advanced technologies such as anomaly detection algorithms, cybersecurity automation platforms, and AI-powered threat hunting. Machine learning models, deep learning techniques, neural networks, natural language processing, computer vision security, and risk scoring models are some of the key AI applications. Security analytics dashboards, threat modeling AI, incident management AI, security automation playbooks, vulnerability management AI, data science cybersecurity, and AI explainability security are essential components of AI-driven cybersecurity solutions. Privacy-preserving AI, responsible AI development, adversarial machine learning, AI bias mitigation, and model explainability security ensure ethical and effective use of AI. Amidst the cybersecurity talent shortage, AI-driven penetration testing and cybersecurity workforce development are vital for enhancing security capabilities.
The Applied Artificial Intelligence (AI) in Cybersecurity market is a segment of the larger IT software industry, focusing on ai-driven threat detection solutions utilizing machine learning and deep learning technologies for malware identification and prevention. This market falls under the application software category, which encompasses firms developing specialized software for businesses and consumers. According to Technavio, the global application software market size is determined by the consolidated revenue of companies providing such solutions, including cloud-based offerings. This sector excludes entities producing interactive home entertainment software and those specializing in systems or database management software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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