Artificial Intelligence (AI) in Cybersecurity

Artificial Intelligence (AI) in Cybersecurity

Global Artificial Intelligence (AI) in Cybersecurity Market to Reach US$89.0 Billion by 2030

The global market for Artificial Intelligence (AI) in Cybersecurity estimated at US$22.1 Billion in the year 2023, is expected to reach US$89.0 Billion by 2030, growing at a CAGR of 22.0% over the analysis period 2023-2030. AI in Cybersecurity Software, one of the segments analyzed in the report, is expected to record a 21.8% CAGR and reach US$38.2 Billion by the end of the analysis period. Growth in the AI in Cybersecurity Services segment is estimated at 25.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$5.9 Billion While China is Forecast to Grow at 20.9% CAGR

The Artificial Intelligence (AI) in Cybersecurity market in the U.S. is estimated at US$5.9 Billion in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$13.4 Billion by the year 2030 trailing a CAGR of 20.9% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 19.6% and 18.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.8% CAGR.

Global Artificial Intelligence (AI) in Cybersecurity Market - Key Trends and Drivers Summarized

Artificial Intelligence (AI) is rapidly transforming the cybersecurity landscape, enabling security teams to handle vast quantities of data and address sophisticated cyber threats efficiently. AI and machine learning (ML) technologies are essential in automating and enhancing threat detection and response systems within cybersecurity frameworks. These technologies facilitate the creation of dynamic systems that iteratively learn and improve from data, making them indispensable for comprehensively analyzing risk and bolstering security postures. In practical terms, AI applications in cybersecurity extend to maintaining up-to-date inventories of IT assets, continuously monitoring threat exposure, evaluating control effectiveness, predicting breach risks, enhancing incident response, and providing explainable AI-driven recommendations. This broad utility underscores AI`s pivotal role in modern cybersecurity strategies, where it enhances organizational resilience by providing scalable, efficient, and proactive security solutions.

The integration of AI into cybersecurity is driven by the escalating volume and complexity of cyber threats, which traditional security measures alone are insufficient to manage. AI enhances real-time threat detection capabilities, enabling faster and more accurate responses. This is crucial in a landscape where cyber threats evolve rapidly and potential attack vectors proliferate due to the expansion of IoT devices and other emerging technologies. Furthermore, the global shortage of skilled cybersecurity professionals exacerbates the need for AI, which compensates by automating routine tasks and enabling human analysts to focus on higher-level strategic challenges. Additionally, AI-driven systems support organizations in achieving continuous compliance and risk management, adjusting dynamically to new regulations and maintaining stringent security standards without the need for constant human oversight.

Despite its benefits, the deployment of AI in cybersecurity also presents challenges, particularly in managing the expanded attack surfaces introduced by numerous devices and complex data flows that exceed human capacity to monitor effectively. The shortage of cybersecurity talent is a significant issue, but AI`s ability to automate complex processes offers a partial remedy. As adversaries also begin to leverage AI, it is imperative for security teams to ensure their AI systems are safeguarded against sophisticated AI-driven threats. The continual advancement in ML and analytics further refines AI`s effectiveness, making these systems increasingly smarter and pivotal in the strategic management of cybersecurity. This evolving scenario underscores the necessity for a synergistic approach that combines human expertise with AI capabilities, optimizing security resources and extending the protective measures of organizations against cyber threats.

 

Select Competitors (Total 25 Featured) -

• Check Point Software Technologies Ltd.
• Crowdstrike, Inc.
• Darktrace Holdings Limited
• IBM Corporation
• Kaspersky Lab
• Microsoft Corporation
• NetDepot.com LLC
• NVIDIA Corporation
• Sangfor Technologies, Inc.
• Sentinelone

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