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:

Drivers

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.

Restraints:

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.

Opportunities:

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

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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