AI Trust, Risk and Security Management Market Growth & Share Analysis
The Global AI Trust, Risk and Security Management Market has witnessed continuous growth in the last few years and is projected to grow even further during the forecast period of 2024-2033. The assessment provides a 360° view and insights - outlining the key outcomes of the AI Trust, Risk and Security Management market, current scenario analysis that highlights slowdown aims to provide unique strategies and solutions following and benchmarking key players strategies. In addition, the study helps with competition insights of emerging players in understanding the companies more precisely to make better informed decisions.
📘 Market Introduction
The global market was valued at approximately USD 2.1–2.49 billion in 2023–2024, with estimates converging around USD 2.34 billion for 2024 .
Forecasts vary slightly:
To USD 7.44 billion by 2030 (CAGR ~21.3–21.6%) .
Allied Research projects USD 7.4 billion by 2032 (CAGR ~16.2%) .
KBV Research estimates USD 8.2 billion by 2031 (CAGR ~20.3%) .
Asia‑Pacific market was about USD 519.9 million in 2023, growing at a 24% CAGR to reach USD 2.345 billion by 2030 .
🔄 Recent Developments
October 2023: IBM introduced AI‑powered Threat Detection & Response services for hybrid cloud environments .
June 2023: TruEra released AI Quality Monitoring solutions to track model performance lifecycle-wide .
October 2023: SAP SE partnered with Bosch on secure multi‑party computation (MPC) for privacy-preserving analytics .
June 2023: Oracle acquired ZestFinance to boost AI‑driven credit-risk services .
⚙️ Drivers
Surge in adversarial ML threats, policy and compliance concerns, and regulation around bias, transparency, and security .
Widespread AI adoption in cloud, edge, IoT, prompting need for anomaly detection and real-time monitoring .
Surge in cybersecurity threats like deepfakes, especially in high-risk sectors like finance .
🛑 Restraints
Acute skill gaps in AI governance, cybersecurity, and data science .
Complex integration challenges between AI TRiSM tools and legacy IT/security environments .
High implementation costs and need for specialized talent, especially for SMEs .
🌟 Opportunities
Regulatory demands (e.g. GDPR, NIST, emerging AI Acts) driving automated compliance and governance tool adoption .
Financial services and healthcare verticals are early adopters—e.g., Resistant AI securing USD 11 M for fraud-risk tools .
Rapid digital transformation in emerging markets offers fertile ground for AI governance frameworks .
Generative AI and API‑based foundation models raised fresh demands for advanced explainability and security tools .
🚀 Market Advancements
Explainability solutions are leading, with ~USD 0.61 billion revenue in 2023 .
Governance & compliance applications are the top use-case (~USD 0.74 billion in 2023) .
Solution segment dominates (~70%+ share), while services are the fastest-growing component .
Anomaly detection, real-time monitoring, and automated response are key technological trends .
🌍 Regional Segmentation Analysis
| Region | 2023 Share/Size | Forecast & Trends |
|---|---|---|
| North America | ~32–35%; dominant (USD 1.25–1.3 B solutions in 2023) | Leaders in AI governance tools, regulated industries, and early adoption. |
| Europe | ~?%; growing with AI Act & GDPR alignment | Risk-based compliance (e.g. EU framework). |
| Asia-Pacific | ~26.5% (USD 519.9M in 2023), fastest CAGR (24%) | SEA, India, Korea expanding AI governance. |
| Latin America | Moderate adoption; included in regional forecasts | Likely USD 0.2–0.5 B regionally by 2030. |
| Middle East & Africa | Similar emerging growth | Early-stage investments via cloud adoption. |
✅ Summary
The AI TRiSM market is expanding rapidly—from around USD 2–2.5 billion in 2024 to USD 7–8 billion by 2030–2032, at CAGRs of 16–22%. Growth is propelled by rising AI risks, regulatory pressures, and demand for governance tools. North America leads in adoption, Europe aligns with compliance regimes, and Asia‑Pacific stands out for fastest growth. Key segments focus on explainability, governance, and advanced threat protection, with services gaining momentum. Challenges include skills shortages and complexity of integration.
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