AI Trust, Risk, and Security Management (AI TRSM) refers to the framework, processes, and technologies used to ensure that artificial intelligence systems are reliable, secure, ethical, and compliant. It encompasses risk assessment, bias detection, model explainability, cybersecurity, regulatory compliance, and governance practices to build confidence in AI deployment across industries. The primary purpose of AI TRSM is to mitigate risks associated with AI adoption, including operational failures, security breaches, ethical concerns, and regulatory non-compliance.
The global AI trust, risk and security management market reached a value of nearly $2,493.07 million in 2024, having grown at a compound annual growth rate (CAGR) of 17.54% since 2019. The market is expected to grow from $2,493.07 million in 2024 to $5,488.19 million 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 $11,818.79 million in 2034.
Increased Adoption Of Cloud Computing Services
During the historic period, the AI trust, risk, and security management market was primarily driven by the increased adoption of cloud computing services by enterprises. As organizations transitioned to cloud-based infrastructures, the complexity and volume of data interactions escalated, amplifying the need for robust AI governance frameworks. This surge in data-centric operations necessitated advanced AI solutions to ensure data integrity, ethical AI deployment, and adherence to regulatory standards. For instance, in December 2023, according to Eurostat, the statistical office of the European Union, responsible for providing high-quality statistics to enable comparisons between EU countries and support policymaking, 45.2% of EU enterprises purchased cloud computing services, marking a 4.2 percentage point increase from 2021. Therefore, the AI trust, risk, and security management market experienced significant growth, driven by the increased adoption of cloud computing services.
Development of Customizable AI Security Platforms
Major companies in the AI trust, risk, and security management market are focusing on the development of platforms offering customizable AI security solutions to address evolving cyber threats and enterprise requirements. These initiatives enable organizations to streamline procurement, deployment, and management of AI-driven security tools. For instance, in October 2025, Microsoft, a US-based technology company, launched its Security Store, a platform providing AI security software-as-a-service solutions and Microsoft Security Copilot AI agents. The platform features offerings from partners like Darktrace, Illumio, Netskope, Perfomanta, and Tanium, designed to integrate seamlessly with existing Microsoft security solutions such as Defender, Sentinel, Entra, and Purview. By offering these advanced tools, Microsoft aims to provide enterprises with flexible, efficient, and robust AI security framework.
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.
AI Trust, Risk And Security Management Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI trust, risk and security management market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for AI trust, risk and security management? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI trust, risk and security management market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider AI trust, risk and security management market; and compares it with other markets.
The report covers the following chapters
- Introduction And Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by component, by type of digital twin, by deployment model and by industry vertical.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis And Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM)
- Regional And Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by equipment, by distribution channel and by end-user in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size And Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies - Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers And Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations This section includes recommendations for AI trust, risk and security management providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Component: Solution; Services
- 2) By Deployment Mode: On-Premises; Cloud-Based
- 3) By Enterprise Size: Large Enterprises; Small And Medium-Sized Enterprises (SMEs)
- 4) By Application: Banking, Financial Services And Insurance (BFSI); Retail And E-Commerce; Healthcare; Automotive; Energy And Utilities; Other Applications
- Companies Mentioned: Digital Management Holdings, LLC; Proofpoint Inc.; Oracle Corporation; Check Point Software Technologies Ltd.; Rapid7 Inc.
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI trust, risk and security management indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.