PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2129348
PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2129348
The AI Trust, Risk, and Security Management (AI TRiSM) market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031 at a CAGR of 30.3% during the forecast period. This growth is driven by the shift from policy-based AI governance toward continuous, enforceable controls as enterprises deploy increasingly autonomous and interconnected AI systems.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2022-2031 |
| Base Year | 2025 |
| Forecast Period | 2026-2031 |
| Units Considered | Value (USD Million/USD Billion) |
| Segments | Offering, Deployment Mode, Organization Size, Application, Vertical, and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
As AI becomes embedded across applications and workflows, agentic systems can access data, invoke tools, and execute actions with limited human intervention. This is accelerating the need for continuous visibility, evaluation, monitoring, and runtime enforcement rather than periodic assessments. Consequently, enterprises are adopting AI TRiSM solutions to operationalize governance policies, monitor AI behavior, identify emerging risks, and maintain accountability throughout the AI lifecycle.

"By solution, the AI security & runtime protection platforms segment is expected to witness the highest CAGR during the forecast period."
The AI security & runtime protection platforms segment is expected to register the highest CAGR, driven by the rapid deployment of generative and agentic AI systems that introduce security risks during live interactions. Unlike conventional AI governance, runtime protection requires organizations to inspect prompts, model outputs, data flows, and agent tool calls continuously and intervene when threats or policy violations occur. AI agents can dynamically interact with enterprise applications and sensitive data, creating attack paths that may not be visible during pre-deployment testing. Consequently, enterprises are increasingly adopting runtime platforms that provide AI asset visibility, threat detection, guardrails, policy enforcement, and real-time intervention against prompt injection, data leakage, privilege misuse, malicious tool calls, and other AI-specific threats.
"By organization size, the large enterprises segment is projected to hold the largest market share in 2026."
The large enterprises segment is projected to account for the largest share of the AI TRiSM market, primarily because these organizations operate diverse AI environments spanning multiple business functions, geographies, applications, and technology stacks. The scale of enterprise AI deployment creates greater requirements for centralized AI inventories, risk classification, access controls, model oversight, compliance management, and continuous monitoring. IBM's 2026 study found that 70% of surveyed technology leaders said business teams were deploying technology faster than IT could track, highlighting the visibility and control challenges created by large-scale AI adoption. Large enterprises also face greater exposure to regulatory, reputational, and operational consequences from AI failures, strengthening investments in dedicated governance and security infrastructure. As organizations move AI from isolated pilots into critical workflows and autonomous applications, the need for scalable, enterprise-wide AI TRiSM platforms and services is expected to sustain the segment's leading market position.
"By vertical, the healthcare & life sciences segment is expected to grow at the highest CAGR during the forecast period."
The healthcare & life sciences segment is expected to grow the fastest, driven by the rapid integration of AI into clinical decision support, medical imaging, drug discovery, diagnostics, and pharmaceutical research, where errors or biased outputs can directly affect patient safety and treatment outcomes. The increasing use of AI-enabled medical devices is also creating stronger requirements for model validation, transparency, bias assessment, performance monitoring, and lifecycle risk management. The US FDA has issued guidance emphasizing lifecycle management, transparency, bias mitigation, and post-deployment monitoring for AI-enabled medical devices. In 2026, India also launched the SAHI and BODH initiatives to promote ethical, transparent, and accountable AI in healthcare. These developments are increasing demand for AI TRiSM solutions covering governance, assurance, evaluation, observability, security, and continuous monitoring, positioning Healthcare & Life Sciences as a high-growth vertical.
Breakdown of Primaries
Major vendors in the AI TRiSM market include IBM (US), Microsoft (US), Accenture (Ireland), Palo Alto Networks (US), Deloitte (UK), NeuralTrust (Spain), Cisco (US), ServiceNow (US), PwC (UK), EY (UK), Veeam Software (US), Cyera (US), Airia (US), OneTrust (US), BigID (US), Zenity (US/Israel), Credo AI (US), Arize AI (US), Fiddler AI (US), ModelOp (US), HiddenLayer (US), AIShield (India), Daxa (US), Concentric AI (US), and Grip Security (US).
The study includes an in-depth competitive analysis of the key players in the AI TRiSM market, their company profiles, recent developments, and key market strategies.
Research Coverage
The report segments the AI TRiSM market and forecasts its size based on offering (solutions (AI governance, risk & compliance platforms, Al assurance, evaluation & observability platforms, Al security & runtime protection platforms)), services (consulting, strategy & governance design, implementation & integration, testing, validation & independent assurance, managed Al TRiSM services), deployment mode (cloud, on-premises, hybrid), organization size (SMEs, large enterprises), application (governance & oversight, assurance & evaluation, security & runtime control, monitoring & response, other applications), vertical (BFSI, government & defense, healthcare & life sciences, IT & ITeS, telecommunications, retail, E-commerce & consumer goods, manufacturing, energy & utilities, transportation & logistics, media & entertainment, other verticals), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).
The study also includes an in-depth competitive analysis of the market's key players, including company profiles, key observations on product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report will help market leaders/new entrants with information on the closest approximations of revenue numbers for the overall AI TRiSM market and its subsegments. This report will help stakeholders understand the competitive landscape and gain valuable insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.