The LLMs in cybersecurity market size is expected to see exponential growth in the next few years. It will grow to $36.02 billion in 2029 at a compound annual growth rate (CAGR) of 56.1%. The growth in the forecast period is expected to be driven by rising regulatory and compliance demands, increased reliance on automated threat intelligence, growing interest in predictive cybersecurity solutions, greater integration of conversational AI within security operations centers, and increased investment in AI-based cybersecurity technologies. Key trends anticipated for this period include advancements in natural language processing, the integration of LLMs with security information and event management systems, breakthroughs in AI-powered threat detection, the evolution of AI-driven threat intelligence platforms, and progress in automated incident response tools.
The increase in cloud security threats is expected to drive the growth of the LLMs in cybersecurity market. Cloud security threats include risks such as data breaches, misconfigurations, and unauthorized access that can compromise cloud-based systems and data. A major contributor to these threats is improper security configurations, where misconfigured cloud settings expose sensitive information to cyberattacks. This often stems from a lack of understanding of best practices, leaving systems vulnerable. LLMs play a crucial role in cloud security by enabling real-time threat detection, automating threat responses, identifying phishing attempts, supporting security configuration, and generating comprehensive incident reports. For example, in December 2024, Station X Limited, a UK-based cybersecurity training provider, reported that 39% of businesses experienced a data breach in their cloud environments in 2023, up from 35% in 2022. This rise in cloud-related threats is contributing to the expansion of the LLMs in cybersecurity market.
Leading companies in the LLMs in cybersecurity market are focusing on creating advanced solutions tailored to the specific risks associated with large language models. These innovations aim to enhance visibility, prioritize vulnerabilities based on impact, and deliver proactive defenses for protecting AI and LLM assets in both development and production environments. For instance, in August 2024, Qualys, Inc., a U.S.-based IT security firm, introduced TotalAI, a comprehensive security solution targeting risks linked to LLMs and generative AI workloads. TotalAI features AI asset discovery, vulnerability assessments addressing risks such as prompt injection and model theft, TruRisk prioritization for targeted remediation, and compliance reporting aligned with regulations such as GDPR and PCI DSS. The solution integrates with the broader Qualys platform, offering organizations a unified approach to AI security.
In January 2024, Protect AI Inc., a U.S.-based cybersecurity company, acquired Laiyer AI for an undisclosed amount. This acquisition is aimed at strengthening Protect AI’s LLM cybersecurity capabilities by incorporating Laiyer AI’s LLM Guard tool, which provides enhanced protection against threats such as prompt injection and data misuse. Laiyer AI, based in Germany, specializes in cybersecurity solutions specifically designed for large language models.
Major players in the llms in cybersecurity market are Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, NVIDIA Corporation, Amazon Web Service Inc., International Business Machines Corporation, Oracle Corporation, Cisco Systems Inc., Broadcom Inc., Baidu Inc., Palo Alto Networks Inc., Fortinet Inc., Splunk Inc., CrowdStrike Holdings Inc., Zscaler Inc., OpenAI LP, Darktrace Holdings Limited, Vectra AI Inc., AI21 Labs Ltd.
North America was the largest region in the LLMs in cybersecurity market in 2024. The regions covered in LLMs in cybersecurity report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the LLMs in cybersecurity market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The LLMs in the cybersecurity market consist of revenues earned by entities by providing services such as vulnerability assessment, security automation, security policy generation, security awareness training, and phishing detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The LLMs in the cybersecurity market also consist of sales of products, including threat detection systems, phishing detection tools, incident response automation, natural language query interfaces, and vulnerability management tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
LLMs in cybersecurity involve the application of large language models to enhance security operations by leveraging advanced language processing and AI-based analysis. These models are capable of processing large volumes of data, detecting patterns, and generating actionable insights to support real-time decision-making. They also contribute to automation and training efforts, enabling security professionals to respond to and manage threats more effectively.
The primary offerings of LLMs in cybersecurity include solutions and services. Solutions refer to specific applications or functionalities powered by LLMs that address various cybersecurity needs. These offerings can be deployed either through cloud-based platforms or on-premises infrastructure and are suitable for organizations of all sizes, including large enterprises and small to medium-sized businesses (SMEs). Core application areas encompass network security, endpoint security, application security, cloud security, and more. These solutions are used across multiple sectors, including banking, financial services, and insurance (BFSI), healthcare, IT and telecommunications, government and defense, retail, manufacturing, and others.
The LLMs in cybersecurity market research report is one of a series of new reports that provides LLMs in cybersecurity market statistics, including LLMs in cybersecurity industry global market size, regional shares, competitors with an LLMs in cybersecurity market share, detailed LLMs in cybersecurity market segments, market trends and opportunities, and any further data you may need to thrive in the LLMs in cybersecurity industry. This LLMs in cybersecurity market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The LLMs in cybersecurity market size has grown exponentially in recent years. It will grow from $3.88 billion in 2024 to $6.07 billion in 2025 at a compound annual growth rate (CAGR) of 56.3%. The growth during the historic period can be attributed to the increasing sophistication of cyber threats, greater adoption of AI-driven security analytics, a heightened need for real-time incident response, a widening cybersecurity skills gap, and the growing complexity of IT infrastructure.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The increase in cloud security threats is expected to drive the growth of the LLMs in cybersecurity market. Cloud security threats include risks such as data breaches, misconfigurations, and unauthorized access that can compromise cloud-based systems and data. A major contributor to these threats is improper security configurations, where misconfigured cloud settings expose sensitive information to cyberattacks. This often stems from a lack of understanding of best practices, leaving systems vulnerable. LLMs play a crucial role in cloud security by enabling real-time threat detection, automating threat responses, identifying phishing attempts, supporting security configuration, and generating comprehensive incident reports. For example, in December 2024, Station X Limited, a UK-based cybersecurity training provider, reported that 39% of businesses experienced a data breach in their cloud environments in 2023, up from 35% in 2022. This rise in cloud-related threats is contributing to the expansion of the LLMs in cybersecurity market.
Leading companies in the LLMs in cybersecurity market are focusing on creating advanced solutions tailored to the specific risks associated with large language models. These innovations aim to enhance visibility, prioritize vulnerabilities based on impact, and deliver proactive defenses for protecting AI and LLM assets in both development and production environments. For instance, in August 2024, Qualys, Inc., a U.S.-based IT security firm, introduced TotalAI, a comprehensive security solution targeting risks linked to LLMs and generative AI workloads. TotalAI features AI asset discovery, vulnerability assessments addressing risks such as prompt injection and model theft, TruRisk prioritization for targeted remediation, and compliance reporting aligned with regulations such as GDPR and PCI DSS. The solution integrates with the broader Qualys platform, offering organizations a unified approach to AI security.
In January 2024, Protect AI Inc., a U.S.-based cybersecurity company, acquired Laiyer AI for an undisclosed amount. This acquisition is aimed at strengthening Protect AI’s LLM cybersecurity capabilities by incorporating Laiyer AI’s LLM Guard tool, which provides enhanced protection against threats such as prompt injection and data misuse. Laiyer AI, based in Germany, specializes in cybersecurity solutions specifically designed for large language models.
Major players in the llms in cybersecurity market are Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, NVIDIA Corporation, Amazon Web Service Inc., International Business Machines Corporation, Oracle Corporation, Cisco Systems Inc., Broadcom Inc., Baidu Inc., Palo Alto Networks Inc., Fortinet Inc., Splunk Inc., CrowdStrike Holdings Inc., Zscaler Inc., OpenAI LP, Darktrace Holdings Limited, Vectra AI Inc., AI21 Labs Ltd.
North America was the largest region in the LLMs in cybersecurity market in 2024. The regions covered in LLMs in cybersecurity report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the LLMs in cybersecurity market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The LLMs in the cybersecurity market consist of revenues earned by entities by providing services such as vulnerability assessment, security automation, security policy generation, security awareness training, and phishing detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The LLMs in the cybersecurity market also consist of sales of products, including threat detection systems, phishing detection tools, incident response automation, natural language query interfaces, and vulnerability management tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
LLMs in cybersecurity involve the application of large language models to enhance security operations by leveraging advanced language processing and AI-based analysis. These models are capable of processing large volumes of data, detecting patterns, and generating actionable insights to support real-time decision-making. They also contribute to automation and training efforts, enabling security professionals to respond to and manage threats more effectively.
The primary offerings of LLMs in cybersecurity include solutions and services. Solutions refer to specific applications or functionalities powered by LLMs that address various cybersecurity needs. These offerings can be deployed either through cloud-based platforms or on-premises infrastructure and are suitable for organizations of all sizes, including large enterprises and small to medium-sized businesses (SMEs). Core application areas encompass network security, endpoint security, application security, cloud security, and more. These solutions are used across multiple sectors, including banking, financial services, and insurance (BFSI), healthcare, IT and telecommunications, government and defense, retail, manufacturing, and others.
The LLMs in cybersecurity market research report is one of a series of new reports that provides LLMs in cybersecurity market statistics, including LLMs in cybersecurity industry global market size, regional shares, competitors with an LLMs in cybersecurity market share, detailed LLMs in cybersecurity market segments, market trends and opportunities, and any further data you may need to thrive in the LLMs in cybersecurity industry. This LLMs in cybersecurity market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The LLMs in cybersecurity market size has grown exponentially in recent years. It will grow from $3.88 billion in 2024 to $6.07 billion in 2025 at a compound annual growth rate (CAGR) of 56.3%. The growth during the historic period can be attributed to the increasing sophistication of cyber threats, greater adoption of AI-driven security analytics, a heightened need for real-time incident response, a widening cybersecurity skills gap, and the growing complexity of IT infrastructure.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. LLMs In Cybersecurity Market Characteristics3. LLMs In Cybersecurity Market Trends And Strategies4. LLMs In Cybersecurity Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market32. Global LLMs In Cybersecurity Market Competitive Benchmarking And Dashboard33. Key Mergers And Acquisitions In The LLMs In Cybersecurity Market34. Recent Developments In The LLMs In Cybersecurity Market
5. Global LLMs In Cybersecurity Growth Analysis And Strategic Analysis Framework
6. LLMs In Cybersecurity Market Segmentation
7. LLMs In Cybersecurity Market Regional And Country Analysis
8. Asia-Pacific LLMs In Cybersecurity Market
9. China LLMs In Cybersecurity Market
10. India LLMs In Cybersecurity Market
11. Japan LLMs In Cybersecurity Market
12. Australia LLMs In Cybersecurity Market
13. Indonesia LLMs In Cybersecurity Market
14. South Korea LLMs In Cybersecurity Market
15. Western Europe LLMs In Cybersecurity Market
16. UK LLMs In Cybersecurity Market
17. Germany LLMs In Cybersecurity Market
18. France LLMs In Cybersecurity Market
19. Italy LLMs In Cybersecurity Market
20. Spain LLMs In Cybersecurity Market
21. Eastern Europe LLMs In Cybersecurity Market
22. Russia LLMs In Cybersecurity Market
23. North America LLMs In Cybersecurity Market
24. USA LLMs In Cybersecurity Market
25. Canada LLMs In Cybersecurity Market
26. South America LLMs In Cybersecurity Market
27. Brazil LLMs In Cybersecurity Market
28. Middle East LLMs In Cybersecurity Market
29. Africa LLMs In Cybersecurity Market
30. LLMs In Cybersecurity Market Competitive Landscape And Company Profiles
31. LLMs In Cybersecurity Market Other Major And Innovative Companies
35. LLMs In Cybersecurity Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
LLMs In Cybersecurity Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on llms in cybersecurity market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for llms in cybersecurity ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The llms in cybersecurity market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Offering: Solutions; Services2) By Deployment Model: Cloud-Based; On-Premises
3) By Organization Size: Large Enterprises; Small And Medium-Sized Enterprises (SMEs)
4) By Application: Network Security; Endpoint Security; Application Security; Cloud Security; Other Applications
5) By End-User Industry: Banking, Financial Services, And Insurance (BFSI); Healthcare; Information Technology And Telecom; Government And Defense; Retail; Manufacturing; Other End-User Industries
Subsegments:
1) By Solutions: Threat Detection And Prevention; Vulnerability Management; Security Automation; Data Security; Identity And Access Management; Other Solutions2) By Services: Professional Services; Managed Services
Key Companies Profiled: Google LLC; Microsoft Corporation; Meta Platforms Inc.; Alibaba Group Holding Limited; NVIDIA Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Google LLC
- Microsoft Corporation
- Meta Platforms Inc.
- Alibaba Group Holding Limited
- NVIDIA Corporation
- Amazon Web Service Inc.
- International Business Machines Corporation
- Oracle Corporation
- Cisco Systems Inc.
- Broadcom Inc.
- Baidu Inc.
- Palo Alto Networks Inc.
- Fortinet Inc.
- Splunk Inc.
- CrowdStrike Holdings Inc.
- Zscaler Inc.
- OpenAI LP
- Darktrace Holdings Limited
- Vectra AI Inc.
- AI21 Labs Ltd.