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By AI, Created 4:59 PM UTC, May 18, 2026, /AGP/ – The Business Research Company projects rapid growth in the market for large language models used in cybersecurity, driven by AI-based threat detection, security automation and enterprise demand for better incident response. North America and the U.S. are expected to lead the market through 2030.
Why it matters: - The market for large language models in cybersecurity is moving from niche use cases toward mainstream security operations. - The forecast points to growing demand for AI tools that can detect threats faster, automate routine work and reduce alert fatigue. - The category is projected to reach more than $42.6 billion by 2030, making it a meaningful slice of both the software products market and the broader IT sector.
What happened: - The Business Research Company released its LLMs in Cybersecurity Market Report 2026, covering market size, trends and global forecasts for 2026-2035. - The report says the global market will surpass $43 billion by 2030. - North America is projected to be the largest region in 2030, with a market value of $15.4 billion. - The U.S. is projected to be the largest country in 2030, with a market value of $13.2 billion.
The details: - The market is expected to grow from $2.1 billion in North America in 2025 to $15.4 billion in 2030, a 49% compound annual growth rate. - The U.S. market is expected to grow from $1.9 billion in 2025 to $13.2 billion in 2030, at a 48% CAGR. - The solutions segment is expected to be the largest offering category, accounting for 75% of the market, or $32 billion, in 2030. - The market is also segmented by deployment model into cloud-based and on-premises. - The market is segmented by organization size into large enterprises and small and medium-sized enterprises. - The market is segmented by application into network security, endpoint security, application security, cloud security and other applications. - The market is segmented by end-user industry into banking, financial services and insurance, healthcare, information technology and telecom, government and defense, retail, manufacturing and other industries. - The report estimates the market will represent about 1% of the parent software products market by 2030. - The market is estimated to account for nearly 0.3% of the total value of the global information technology industry by 2030. - A free sample is available at Request a free sample. - The full report is available at Access the detailed report.
Between the lines: - The forecast reflects a broader shift toward AI-native security tools that can analyze unstructured data and respond in real time. - The strongest growth drivers named in the report are advanced threat detection, automation of routine security tasks and contextual correlation across multiple data sources. - The report projects advanced threat detection and analysis to contribute about 2.0% annual growth to the market. - Automation of routine security tasks is projected to contribute about 1.8% annual growth. - Contextual understanding and correlation is projected to contribute about 1.5% annual growth. - The report also points to rising enterprise spending, regulatory pressure on data protection and cyber resilience, and a widening need for tools that help security teams manage complexity.
What’s next: - The biggest growth opportunities are expected in solutions and services, which together are projected to add more than $37 billion in market value by 2030. - The solutions segment is projected to grow by $28 billion from 2025 to 2030. - The services segment is projected to grow by $9 billion over the same period. - The report expects demand to keep rising as organizations adopt AI-powered threat intelligence platforms, managed security services and domain-specific cybersecurity models.
The bottom line: - LLMs are becoming a larger part of cybersecurity budgets as enterprises look for faster detection, more automation and better threat prioritization.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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