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The large language models (LLMs) in cybersecurity market is forecasted to grow by USD 17.12 billion during 2024-2029, accelerating at a CAGR of 40.2% during the forecast period. The report on the large language models (LLMs) in cybersecurity market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by rising complexity and volume of cyber threats, automation of cybersecurity operations and analyst augmentation, and enhanced threat intelligence and decision support.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The large language models (LLMs) in cybersecurity market is segmented as below:
By Application
- Threat detection and prevention
- Vulnerability management
- Security automation
- Data security
- Others
By Deployment
- Cloud based
- On premises
By End-user
- BFSI
- Healthcare
- Government and defense
- IT and telecom
- Others
By Geographical Landscape
- North America
- Europe
- APAC
- Middle East and Africa
- South America
The report on the large language models (LLMs) in cybersecurity market covers the following areas:
- Large Language Models (LLMs) In Cybersecurity Market sizing
- Large Language Models (LLMs) In Cybersecurity Market forecast
- Large Language Models (LLMs) In Cybersecurity Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Five Forces Analysis
6 Market Segmentation by Application
7 Market Segmentation by Deployment
8 Market Segmentation by End-user
9 Customer Landscape
10 Geographic Landscape
11 Drivers, Challenges, and Opportunity/Restraints
12 Competitive Landscape
13 Competitive Analysis
14 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global large language models (LLMs) in cybersecurity market: Accenture PLC, Anthropic, C3.ai Inc., Check Point Software Technologies Ltd., Cisco Systems Inc., Cohere, CrowdStrike Inc., Darktrace Holdings Ltd., Dropzone AI, Enkrypt AI, Fortinet Inc., Google LLC, International Business Machines Corp., Microsoft Corp., Palo Alto Networks Inc., Reducto AI, SENTINELONE Inc., and SparkCognition Inc..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is rise of specialized cybersecurity llms."
According to the report, one of the major drivers for this market is the rising complexity and volume of cyber threats.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Accenture PLC
- Anthropic
- C3.ai Inc.
- Check Point Software Technologies Ltd.
- Cisco Systems Inc.
- Cohere
- CrowdStrike Inc.
- Darktrace Holdings Ltd.
- Dropzone AI
- Enkrypt AI
- Fortinet Inc.
- Google LLC
- International Business Machines Corp.
- Microsoft Corp.
- Palo Alto Networks Inc.
- Reducto AI
- SENTINELONE Inc.
- SparkCognition Inc.
