Artificial intelligence in cybersecurity Market Overview On Demanding Application 2032

The artificial intelligence in cybersecurity market size is valued at USD 22.4 Billion in 2023 and is anticipated to be USD 60.6 Billion by 2028; growing at a CAGR of 21.9%.

Factors such as the growing adoption of IoT and increasing number of connected devices, increasing instances of cyber threat, rising concerns of data protection, and increasing vulnerability of Wi-Fi networks to security threats are driving the growth of the market during the forecast period.

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Artificial intelligence in cybersecurity Market Dynamics
Driver: Increasing instances of cyber threats
Cyber threats are not only hampering the productivity of businesses but also damaging the critical IT infrastructure and sensitive data of organizations. Owing to the rapid rise in the digital transaction globally across various industries, there is an increase in the frequency of cybercrimes. The increase in enterprise data breaches or data leakage is fueling the market for cybersecurity products and services.
Restraint: Inability of AI to stop zero-day and advanced threats

All algorithms or approaches used in AI, including machine learning, genetics algorithm, deep learning, or neural networks, are based on experiences from the past. This means that AI in cybersecurity is based on learning from past malware about what malware looks like and how it behaves.

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Opportunity: Zero trust framework providing advanced security
Zero trust is a framework that considers that the security of complex networks is constantly under threat from both internal and external threats. A zero-trust security model validates and authorizes each connection made by a user to an application or software that connects to a data set via an application programming interface (API).

Challenge: Shortcomings of AI
AI is sometimes just useful for detecting threats; it does not always remove threats. However, issues can occur even when AI is used to detect threats as AI and ML are often positioned to perform anomaly detection, which highlights unknowns while also highlighting additional unknowns that are unrelated to security.

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The cloud-based deployment is growing as cloud-cybersecurity solutions are easy to maintain and upgrade. IBM (US), Cylance (US), Microsoft (US), Amazon (US), and Darktrace (UK) are among the major providers of cloud-based deployment services.

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This release was published on openPR.