AI Trust, Risk and Security Management Global Market Opportunities and Strategies to 2034

This report describes and explains the AI trust, risk and security management market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.

The global AI trust, risk and security management market reached a value of nearly $2.49 billion in 2024, having grown at a compound annual growth rate (CAGR) of 17.54% since 2019. The market is expected to grow from $2.49 billion in 2024 to $5.48 billion in 2029 at a rate of 17.10%. The market is then expected to grow at a CAGR of 16.58% from 2029 and reach $11.81 billion in 2034.

Growth in the historic period resulted from the increased adoption of cloud computing services, increased cybersecurity threats, implementation of ai-specific regulations and high AI adoption across industries. Factors that negatively affected growth in the historic period were shortage of AI skilled professionals and high implementation and integration costs.

Going forward, the increasing use of AI-enabled robotics, rising proliferation of IoT and connected devices, growing trend toward autonomous vehicles and increasing digital and online transactions will drive the growth. Factors that could hinder the growth of the AI trust, risk and security management market in the future include regulatory landscape, complexity in monitoring AI models and impact of trade war and tariff.

North America was the largest region in the AI trust, risk and security management market, accounting for 33.55% or $836.5 million of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI trust, risk and security management market will be Asia Pacific and North America where growth will be at CAGRs of 18.46% and 16.90% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 16.86% and 16.74% respectively.

The global AI trust, risk and security management market is fairly fragmented, with large number of small players operating in the market. The top 10 competitors in the market made up 23.42% of the total market in 2024. Digital Management Holdings, LLC was the largest competitor with 3.46% share of the market, followed by Proofpoint Inc. with 3.15%, Oracle Corporation with 2.96%, Check Point Software Technologies Ltd. with 2.66%, Rapid7 Inc. with 2.43%, SAP SE with 2.27%, Amazon.com Inc. with 2.16%, Zscaler Inc. with 1.61%, Sophos Ltd. with 1.42% and Google LLC with 1.32%.

The AI trust, risk and security management market is segmented by component into solution and services. The solution market was the largest segment of the AI trust, risk and security management market segmented by component, accounting for 71.22% or $1.77 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the AI trust, risk and security management market segmented by component, at a CAGR of 18.83% during 2024-2029.

The AI trust, risk and security management market is segmented by enterprise size into large enterprises and small and medium-sized enterprises (SMEs). The large enterprises market was the largest segment of the AI trust, risk and security management market segmented by enterprise size, accounting for 63.56% or $1.58 billion of the total in 2024. Going forward, the small and medium-sized enterprises (SMEs) segment is expected to be the fastest growing segment in the AI trust, risk and security management market segmented by enterprise size, at a CAGR of 18.83% during 2024-2029.

The AI trust, risk and security management market is segmented by deployment mode into on-premises and cloud-based. The on-premises market was the largest segment of the AI trust, risk and security management market segmented by deployment mode, accounting for 63.46% or $1.58 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the AI trust, risk and security management market segmented by deployment mode, at a CAGR of 23.42% during 2024-2029.

The AI trust, risk and security management market is segmented by application into banking, financial services and insurance (BFSI), retail and e-commerce, healthcare, automotive, energy and utilities and other applications. The banking, financial services, and insurance (BFSI) market was the largest segment of the AI trust, risk and security management market segmented by application, accounting for 32.73% or $815.91 million of the total in 2024. Going forward, the healthcare segment is expected to be the fastest growing segment in the AI trust, risk and security management market segmented by application, at a CAGR of 19.26% during 2024-2029.

The top opportunities in the AI trust, risk and security management market segmented by component will arise in the solution segment, which will gain $2.01 billion of global annual sales by 2029. The top opportunities in the AI trust, risk and security management market segmented by deployment mode will arise in the cloud-based segment, which will gain $1.69 billion of global annual sales by 2029. The top opportunities in the AI trust, risk and security management market segmented by enterprise size will arise in the large enterprise segment, which will gain $1.75 billion of global annual sales by 2029. The top opportunities in the AI trust, risk and security management market segmented by application will arise in the banking, financial services, and insurance (BFSI) segment, which will gain $941.24 million of global annual sales by 2029. The AI trust, risk and security management market size will gain the most in the USA at $846.81 million.

Market-trend-based strategies for the AI trust, risk and security management market include focus on development of platforms offering customizable AI security solutions to address evolving cyber threats and enterprise requirements, focus on development of unified Zero Trust platforms to safeguard AI environments against evolving cyber threats and unauthorized access, focus on certifications that validate expertise in AI-centric security management, addressing the growing need for specialized skills in AI security, focus on managed services that provide continuous monitoring, risk assessment, and AI-driven oversight for enterprise AI systems, focus on development of integrated AI Security Posture Management (AI-SPM) within Zero Trust frameworks to safeguard AI environments against evolving cyber threats and unauthorized access, focus on development of AI governance and assurance services to ensure responsible and compliant deployment of AI technologies and focus on development of AI-native trust platforms to safeguard AI-driven software and environments against evolving cyber threats and unauthorized access.

Player-adopted strategies in the AI trust, risk and security management market include focus on expanding business capabilities through new product developments and focus on expanding business capabilities through new launches.

To take advantage of the opportunities, the analyst recommends the AI trust, risk and security management market companies to focus on expanding customizable AI security platforms, focus on developing unified zero trust AI security platforms, focus on promoting AI-centric security certifications, focus on expanding managed ai security services, focus on integrating AI security posture management in zero trust frameworks, focus on expanding AI governance and assurance services, focus on developing AI-native trust platforms, focus on expanding AI trust and security services, focus on expanding cloud-based AI trust and security solutions, focus on small and medium-sized enterprise AI security solutions, expand in emerging markets, focus on expanding distribution channels for AI trust and security solutions, focus on optimizing pricing strategies for AI trust and security solutions, focus on targeted digital and industry promotion for AI trust solutions, focus on customer-centric engagement and advisory promotion and focus on healthcare AI trust and security solutions.