AI Trust, Risk and Security Management Market

AI Trust, Risk and Security Management Market Size By Component (Services and Solution), By Type (ModelOps, Data Protection, Explainability, Data Anomaly Detection, and AI Application Security), and By Application (Bias Detection & Mitigation, Privacy Management, Governance & Compliance, and Security & Anomaly Detection), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2024 to 2033

Base Year: 2023 Historical Data: 2020-22
  • Report ID: TBI-14244
  • Published Date: Apr, 2024
  • Pages: 236
  • Category: Information Technology & Semiconductors
  • Format: PDF
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The global AI trust, risk and security management market was valued at USD 2.2 billion in 2023, growing at a CAGR of 15.9% from 2024 to 2033. The market is expected to reach USD 9.6 billion by 2033. The primary reason for the growth is the rising desire for morally sound AI methods.

Market Introduction:

A range of AI lifecycle components are called AI trust, risk, and security management. These elements deal with AI application development, implementation, and ongoing use. Artificial intelligence (AI) has rapidly expanded, enabling businesses to automate processes, predict events more accurately, and make decisions more quickly and precisely. With all of AI's potential strength, there are also hazards related to data leaks, tampering, and hostile attacks. To ensure that AI is used safely and ethically, businesses must implement technologies and procedures that go above and beyond standard security measures. This will help to protect AI applications and services. AI trust, risk, and security management are relevant here since they make AI safe and efficient. Bridging the gaps in ethical duty with technological innovation is the main objective of Al's trust, risk, and security management. Some of the main factors projected to drive market expansion include increased government attempts to utilize Al technology, the rise in demand for Al systems that can be trusted, and the rise in demand for clear Al decisions. However, business expansion is expected to be hampered by high ethical standards and a need to understand the Al. However, because of the widespread usage and progress of Al technology within the predicted period, these factors are projected to be greatly diminished.

AI Trust, Risk and Security Management Market Size

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Recent Development

In October 2023, Threat Detection and Response Services driven by AI were introduced by International Business Machines Corporation. These services include automated remediation, round-the-clock monitoring, and security alarm investigation for the client's hybrid cloud systems. The scope includes all currently available security investments and solutions, including cloud, on-premise, and operational technology.

In September 2023, Wipro Limited, a global company based in India, and ServiceNow partnered to introduce Wipro CyberTransform, an intelligent serviceNow risk and security solution. This technology allows organisations to effectively integrate their risk, compliance, and security postures.

In June 2023, TruEra Inc. unveiled An AI quality monitoring tool called TruEra Monitoring to supplement its current model evaluation tool, TruEra Diagnostics. Throughout the whole model lifecycle, our continuous monitoring system keeps an eye on things, allowing AI teams to spot problems quickly and fix them for the best possible data model quality and performance.

Market Dynamics:


Growing consciousness of the concerns associated with AI- Organisations are becoming more conscious of the possible financial and reputational dangers connected with utilising AI as the technology becomes more widely used and essential to daily operations. The need for businesses to include AI governance in their more comprehensive risk management and compliance strategies is being driven by this understanding. This is expected to drive the market's growth.


Shortage of skilled professionals- Shortage of skilled professionals with expertise in risk, security, and AI trust management. Effective implementation and management of AI-driven solutions are, therefore, challenging. Additionally, many organisations, especially small and medium-sized firms (SMEs), may find it intimidating to invest the first funds required to implement AI TRiSM solutions, covering costs such as hardware, software, and training.


Increased AI adoption- Artificial intelligence (AI) is used by about half of all enterprises to increase operational effectiveness and acquire a competitive edge. New governance tools and security management frameworks are becoming necessary as a result of the decreasing barrier to entry for third-party generative AI applications and application programme interfaces (APIs). Thus, the increased adoption of AI is expected to provide growth opportunities for the market during the forecast period.

Regional segmentation analysis:

The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the largest global AI trust, risk and security management market, with a 39.8% market revenue share in 2023.

Considering some of the top technological businesses in the world are based in North America, the region has a competitive advantage in the AI sector. These businesses offer fundamental AI skills, such as cloud platforms and governance frameworks, that provide them a competitive edge and significant room to develop. Leaders in the industry stand to gain a great deal in the short and long term from being able to demonstrate AI systems that are dependable, high-quality, and ready for regulatory compliance. Owing to this advantage, they can attract new clients, retain current ones, and inspire trust in investors.

North America Region AI Trust, Risk and Security Management Market Share in 2023 - 39.8%

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Component Segment Analysis

The component segment is divided into services and solution. The solution segment dominated the market, with a market share of around 57% in 2023. AI TRiSM solutions enable machine learning practitioners and software developers to track, assess, decipher, and offer insights regarding the quantity of machine learning models being developed before deciding which model will be used in the finished product.

Type Segment Analysis

The type segment is divided into modelOps, data protection, explainability, data anomaly detection, and AI application security. The explainability segment dominated the market, with a market share of around 28% in 2023. Businesses are realising how important it is to develop confidence in AI systems, particularly in vital areas where decisions affect people's lives and well-being, like healthcare, finance, and autonomous driving. Improved explainability promotes trust while assisting with regulatory compliance for ethical AI use.

Application Segment Analysis

The application segment is divided into bias detection & mitigation, privacy management, governance & compliance, and security & anomaly detection. The governance & compliance segment dominated the market, with a market share of around 34% in 2023. The segment's expansion can be ascribed to the broad use of AI across various industries, increasing demand for strong governance and compliance systems. Additional factors include the increasing public scrutiny as customers expect ethical and responsible AI practices, the developing regulatory landscape, the growing knowledge of associated concerns, such as prejudice and security vulnerabilities, and the increasing reliance on AI technologies.

Some of the Key Market Players:
  • SAP SE
  • Oracle Corporation.
  • AT&T Intellectual Property
  • ServiceNow
  • RSA Security LLC
  • International Business Machines Corporation
  • SAS Institute Inc.
  • Rapid7
  • LogicManager, Inc.
  • Moody's Analytics, Inc.

Report Description:

Attribute Description
Market Size Revenue (USD Billion)
Market size value in 2023 USD 2.2 Billion
Market size value in 2033 USD 9.6 Billion
CAGR (2024 to 2033) 15.9%
Historical data 2020-2022
Base Year 2023
Forecast 2024-2033
Region The regions analyzed for the market are Asia Pacific, Europe, South America, North America, and Middle East & Africa. Furthermore, the regions are further analyzed at the country level.
Segments Component, Type, Application

Frequesntly Asked Questions

As per The Brainy Insights, the size of the AI trust, risk and security management market was valued at USD 2.2 billion in 2023 to USD 9.6 billion by 2033.

The global AI trust, risk and security management market is growing at a CAGR of 15.9% during the forecast period 2024-2033.

North America emerged as the largest AI trust, risk and security management market.

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This study forecasts global, regional, and country revenue from 2020 to 2033. The Brainy Insights has segmented the global AI trust, risk and security management market based on the below-mentioned segments:

Global AI Trust, Risk and Security Management Market By Component:

  • Services
  • Solution 

Global AI Trust, Risk and Security Management Market By Type:

  • ModelOps
  • Data Protection
  • Explainability
  • Data Anomaly Detection
  • AI Application Security 

Global AI Trust, Risk and Security Management Market By Application:

  • Bias Detection & Mitigation
  • Privacy Management
  • Governance & Compliance
  • Security & Anomaly Detection

Global AI Trust, Risk and Security Management Market By Region:        

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa


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