Global Generative AI Security Market Growth (Status and Outlook) 2025-2031

The global Generative AI Security market size is predicted to grow from US$ 1408 million in 2025 to US$ 2846 million in 2031; it is expected to grow at a CAGR of 12.4% from 2025 to 2031.

Generative AI Security refers to the measures, practices, and technologies employed to ensure the safety, integrity, and confidentiality of generative artificial intelligence (AI) systems. These systems are designed to produce new text, images, code, video, audio, and other content in a human-like fashion. Generative AI has revolutionized various industries, including entertainment, design, and technology, by providing innovative and efficient ways to create content.

United States market for Generative AI Security is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Generative AI Security is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Generative AI Security is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Generative AI Security players cover Google DeepMind, IBM, Microsoft, NVIDIA, Cohere, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “Generative AI Security Industry Forecast” looks at past sales and reviews total world Generative AI Security sales in 2024, providing a comprehensive analysis by region and market sector of projected Generative AI Security sales for 2025 through 2031. With Generative AI Security sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Generative AI Security industry.

This Insight Report provides a comprehensive analysis of the global Generative AI Security landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Generative AI Security portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Generative AI Security market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Generative AI Security and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Generative AI Security.

This report presents a comprehensive overview, market shares, and growth opportunities of Generative AI Security market by product type, application, key players and key regions and countries.

Segmentation by Type:
Data Privacy and Security
Model Security and Robustness
Others

Segmentation by Application:
Design
Entertainment
Technology
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google DeepMind
IBM
Microsoft
NVIDIA
Cohere
Sift
Darktrace
CrowdStrike
Fortinet
CyberArk
SentinelOne
Palo Alto Networks
Tencent
Baidu

Please note: The report will take approximately 2 business days to prepare and deliver.