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Global AI Safety Software Market Growth (Status and Outlook) 2026-2032

Published Jan 14, 2026
Length 100 Pages
SKU # LPI20715900

Description

The global AI Safety Software market size is predicted to grow from US$ 707 million in 2025 to US$ 1042 million in 2032; it is expected to grow at a CAGR of 5.8% from 2026 to 2032.

AI Safety Software is a combination of artificial intelligence technology and security protection functions. It uses artificial intelligence algorithms and models to intelligently identify, analyze, defend and respond to network security threats, thereby providing efficient and intelligent security protection services.

United States market for AI Safety Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

China market for AI Safety Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Europe market for AI Safety Software is estimated to increase from US$ million in 2025 to US$ million by 2032, at a CAGR of % from 2026 through 2032.

Global key AI Safety Software players cover Azure AI, icetana, Intenseye, NIST, Protex AI, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2025.

LPI (LP Information)' newest research report, the “AI Safety Software Industry Forecast” looks at past sales and reviews total world AI Safety Software sales in 2025, providing a comprehensive analysis by region and market sector of projected AI Safety Software sales for 2026 through 2032. With AI Safety Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Safety Software industry.

This Insight Report provides a comprehensive analysis of the global AI Safety Software 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 AI Safety Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Safety Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Safety Software 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 AI Safety Software.

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

Segmentation by Type:
On-Premises Software
Cloud-Based Software

Segmentation by Application:
Corporate Users
Individual Users

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.
Azure AI
icetana
Intenseye
NIST
Protex AI
Safety Mojo
Surveily
viAct
Voxel

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

Table of Contents

100 Pages
*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI Safety Software Market Size by Player
4 AI Safety Software by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI Safety Software Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion
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