What is the real market size of the AI safety market?
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In our AI safety market deck, you will find everything you need to understand the market
The AI safety market is growing fast as companies race to control AI risks.
Regulation deadlines and rising incidents are pushing budgets toward safety tools.
We estimate this market will reach $5.5 billion globally in 2026.
And if you want to better understand this new industry, you can download our pitch covering the AI safety market.
Insights
- The AI trust, risk, and security management market hit $2.34 billion in 2024 and is expanding at 21.6% annually, creating a strong foundation for broader AI safety spending through 2030.
- Red teaming services alone generated $1.36 billion in 2024, growing 29% year-over-year, which shows companies are willing to pay for hands-on safety testing beyond governance platforms.
- The EU AI Act takes full effect in August 2026, concentrating compliance budgets in a tight 18-month window and accelerating demand for audit-ready governance systems across Europe.
- Organizations now report an average of 223 GenAI data policy violations per month, demonstrating that runtime monitoring and incident response are becoming operational necessities rather than optional add-ons.
- AI governance market estimates range from $176 million to $890 million for 2024, revealing that analysts still disagree on definitions, which creates opportunity for vendors who can clearly articulate their value proposition.
- North America will represent 40% of AI safety spending in 2026, but Asia-Pacific is projected to grow faster and capture 36% of the market by 2036 as local regulations mature.
- Safety monitoring and incident response will grow from 25% of the AI safety market in 2026 to 35% by 2036, overtaking governance platforms as the largest spending category.
- If AI safety captures just 2% of the projected $300 billion in AI-centric spending by 2026, the market would reach $6 billion, validating our $5.5 billion estimate as conservative.
- The AI Incident Database logged its 1,000th incident in early 2025, and the accelerating pace of documented failures is driving enterprise demand for continuous safety operations beyond one-time assessments.
How do we define the AI safety market?
We define the AI safety market as products and services that reduce harms and failure modes from AI systems by measuring, mitigating, and governing model behavior and AI-specific risk.
We include AI evaluation and red teaming, safety monitoring and incident response, safety or guardrail layers, and AI trust, risk, and security management capabilities such as governance, robustness, privacy and security controls, and explainability when used for risk reduction.
We exclude generic MLOps, general cybersecurity, and general compliance or content moderation offerings unless they are specifically designed to address AI model behavior or AI-specific threats.
We also use this definition when we make and update our pitch covering everything there is to know about the AI safety market
In our AI safety market deck, we will give you useful market maps and grids
What is the size of the AI safety market in 2026?
What results can we find on the internet?
As you probably know already, many firms regularly publish (sometimes conflicting) estimates of the AI safety market size, using different definitions, scopes, and years.
We have consolidated their results here. We will use it, among other things, to derive a single, reasonable estimate of the market size.
| Company | Market Size (USD) | Year | Market Definition & Fit |
|---|---|---|---|
| Grand View Research | $2.34B | 2024 | AI TRiSM platforms and services for trust, risk, and security in AI systems. Very close to our market definition, though may include some general controls. |
| Grand View Research | $227.6M | 2024 | AI governance tools and services for policies, oversight, and compliance workflows. Narrower than our definition as it misses red teaming and runtime safety. |
| MarketsandMarkets | $890M | 2024 | AI governance including platforms and related toolkits for policy management. Somewhat narrower than our scope, still light on red teaming and incident response. |
| Research and Markets | $890.6M | 2024 | AI governance market covering multiple tool categories in syndicated reports. Close to governance slice but narrower than full AI safety scope. |
| IMARC Group | $258.3M | 2024 | AI governance market focused on policy and compliance platforms. Narrower than our definition, undercounts security testing, monitoring, and safety services. |
| Fortune Business Insights | $176.8M | 2024 | AI governance software and services only, focusing on compliance workflows. Narrower than our market, mostly governance software and not the full safety stack. |
| Global Market Insights | $197.9M | 2024 | AI governance market covering policy management and oversight tools. Narrower than our definition, likely excludes most red teaming and runtime guardrails. |
| Verified Market Research | $151.25M | 2024 | AI governance market focusing on platforms and compliance workflows. Narrower than our scope, mostly governance platforms without testing or monitoring layers. |
| The Business Research Company | $1.36B | 2024 | AI red teaming services including testing and adversarial exercises. Subset of our market definition, overlaps significantly with TRiSM services and testing budgets. |
| MarketsandMarkets | $5.7B | 2024 | AI model risk management across industries including validation, monitoring, and governance. Broader than our definition, can include non-AI-specific governance and general risk tooling. |
| Grand View Research | $5.47B | 2023 | AI model risk management covering risk controls around models in enterprises. Broader than our scope, not always AI-behavior-specific safety controls. |
| Grand View Research | $7.79B | 2024 | Explainable AI tools across many use cases including product analytics. Much broader than our definition, only a fraction is used for safety and risk reduction. |
What can we conclude, then?
The best anchor point is the AI TRiSM market at $2.34 billion in 2024, which covers trust, risk, and security management for AI systems and aligns closely with our core definition.
Adding incremental spending on red teaming services and safety operations that sit outside TRiSM platforms brings us to approximately $5.5 billion for the global AI safety market in 2026, though this is our first estimate and we will refine it further using bottom-up calculations.
In our AI safety market deck, we have collected signals proving this market is hot right now
What if we try to make our own estimate?
We don't have to rely only on external analyses to estimate market size.
We will try to build a first-principles, bottom-up calculation, then run a few sanity checks to see whether we can reliably estimate the size of the AI safety market.
Useful data about the AI safety market
Here is some useful and reliable data we have collected, they will help us estimate the size of the AI safety market:
- AI TRiSM market was $2.34 billion in 2024 globally (Grand View Research)
- AI TRiSM grows at 21.6% CAGR from 2025 to 2030 (Grand View Research)
- AI red teaming services reached $1.36 billion in 2024 (The Business Research Company)
- AI red teaming services grew 29% from 2024 to 2025 (The Business Research Company)
- AI governance market was $227.6 million in 2024 (Grand View Research)
- AI governance market was $890 million in 2024 (MarketsandMarkets)
- 65% of companies report regular generative AI use in 2024 survey (McKinsey)
- AI-centric spending will surpass $300 billion by 2026 (IDC)
- Worldwide IT spending forecast reaches $6.08 trillion in 2026 (Gartner)
- NIST AI RMF 1.0 provides a standard risk framework for AI systems (NIST Publications)
- ISO/IEC 42001:2023 is an AI management system standard (ISO)
- EU AI Act general application date is August 2, 2026 (European Parliament)
- EU says no pause on AI Act rollout timeline (Reuters)
- Average organization reports 223 GenAI data policy violations monthly (TechRadar)
- AI Incident Database reached incident 1000 milestone by early 2025 (AI Incident Database)
Method and calculation to get the size of the AI safety market
We start with the AI TRiSM market because it captures trust, risk, and security management for AI systems. This aligns closely with the core of our AI safety market definition.
TRiSM was $2.34 billion in 2024 and grows at 21.6% annually. Projecting forward two years to 2026 gives us approximately $3.5 billion for the TRiSM backbone.
Companies also buy red teaming services, evaluation tools, and incident response that often sit outside TRiSM platforms. The red teaming services market alone reached $1.36 billion in 2024.
However, we should not add the full red teaming amount on top of TRiSM. Some TRiSM vendors already bundle testing services into their platforms.
We estimate that about half of red teaming spending is incremental beyond TRiSM budgets. The other half overlaps with TRiSM-related projects.
Scaling that incremental half forward to 2026 with strong growth gives us roughly $2 billion in additional safety operations spending. Combining TRiSM at $3.5 billion plus incremental testing at $2 billion yields $5.5 billion for the AI safety market in 2026.
Sanity checks
Let's verify this estimate makes sense (we always double-check everything, as you will see in our pitch deck covering the AI safety market).
IDC expects AI-centric spending to surpass $300 billion by 2026. If the AI safety market captures just 2% of that total, the market would be $6 billion, which validates our $5.5 billion estimate.
TRiSM alone reaches $3.5 billion in 2026, and it would be strange if the broader AI safety market were not larger than the TRiSM subset. Our estimate exceeds TRiSM but stays in a reasonable range.
Organizations report frequent GenAI policy violations and rising incident tracking, which typically triggers spending on monitoring tools, guardrails, and paid testing services. A multi-billion dollar market in 2026 aligns with this operational pain.
What's our final guess then?
Based on all the data and analysis above, we estimate the AI safety market will reach $5.5 billion globally in 2026. This estimate sits comfortably between the narrow governance-only estimates and the broader model risk management figures.
For comparison, the global cybersecurity market is approximately $200 billion in 2026. The AI safety market at $5.5 billion represents about 2.75% of cybersecurity spending, which makes sense given AI safety is an emerging specialized category.
The AI governance market alone ranges from $150 million to $890 million depending on definition, while AI TRiSM reaches $2.34 billion in 2024. Our $5.5 billion estimate for 2026 reflects the full stack of governance, testing, monitoring, and guardrails.
This estimate also accounts for the EU AI Act deadline in August 2026, which concentrates compliance budgets in 2025 and 2026. Companies facing regulatory deadlines typically accelerate spending on audit-ready systems.
The AI safety market in 2026 will be roughly the size of the global video conferencing market at $6 billion, which grew rapidly during similar adoption curves and regulatory pressures.
In our AI safety market deck, we provide the data and the context to understand it
Is the AI safety market mature, competitive, fragmented?
The maturity score of the AI safety market in 2026 is 35/100
The AI safety market in 2026 is still in early stages with standards like NIST AI RMF and ISO/IEC 42001 just being adopted. Regulation is still rolling out with the EU AI Act timeline extending through 2026 and beyond.
Many buyers are still deciding what good looks like in terms of processes, metrics, and organizational ownership. The market lacks established best practices and proven playbooks that characterize mature industries.
The competitiveness score of the AI safety market in 2026 is 80/100
The AI safety market in 2026 is very competitive with many product categories including governance platforms, evaluation tools, guardrails, and monitoring systems. Large incumbents and startups both compete aggressively, and platform bundling is becoming common.
Buyers can switch tools relatively easily in these early stages because standards are not yet locked in. The absence of strong switching costs and network effects keeps competition intense across all categories.
The fragmentation score of the AI safety market in 2026 is 75/100
The AI safety market in 2026 is highly fragmented with different teams buying different slices such as security tools, compliance platforms, ML monitoring, and legal governance systems. Budgets split between software products and professional services.
The market has not yet consolidated around a single winning platform model. Instead, many specialist tools address specific pain points, and enterprises assemble their own safety stacks from multiple vendors.
How much bigger will the AI safety market be in 10 years?
What are the different forecasts for the growth rate of the AI safety market?
One more time, let's check what other market research firms have to say.
| Company | Annual Growth Rate | Until Year | Comment & Adjustment |
|---|---|---|---|
| Grand View Research | 21.6% CAGR | 2030 | Use as core growth rate for our market backbone. Add extra growth for testing and guardrails layers. This is the most relevant benchmark for the full AI safety stack. |
| MarketsandMarkets | 45.3% CAGR | 2029 | Governance is growing from a small base and this rate reflects early adoption. Don't apply to whole market as it overstates mature slices. Use as upper bound for governance category only. |
| Grand View Research | 35.7% CAGR | 2030 | Good for governance-only slice which is accelerating fastest. Our market grows slower than pure governance but faster than general IT. Useful for category-level forecasting. |
| Fortune Business Insights | 37.7% CAGR | 2032 | Useful for governance acceleration in regulated industries. Treat as upper bound for governance tooling. Not applicable to commoditizing layers like basic guardrails. |
| IMARC Group | 36.71% CAGR | 2033 | Reinforces strong governance growth from multiple analysts. Adjust downward for categories that commoditize over time. Use for governance segment, not whole market. |
| Global Market Insights | 49.2% CAGR | 2034 | Likely reflects early-stage market definition and analyst optimism. Use as best-case scenario for governance tooling only. Too aggressive for mature safety operations categories. |
| Verified Market Research | 47.5% CAGR | 2032 | Another high-growth governance view from different methodology. Apply cautiously as definitions vary widely across firms. Useful as optimistic governance benchmark. |
| The Business Research Company | 29% CAGR | 2025 | Confirms fast short-term services growth driven by urgent testing needs. Expect deceleration as tooling automates part of red teaming. Use for near-term services forecast. |
| MarketsandMarkets | 12.9% CAGR | 2029 | Lower-growth benchmark for broad risk management category. Our AI safety market should outgrow this near term. Reflects slower-moving enterprise risk management practices. |
| Grand View Research | 18.0% CAGR | 2030 | XAI is partly safety-driven and partly product analytics. Use as mid-growth comparator for risk transparency tools. Only fraction of XAI market addresses safety use cases. |
| Grand View Research | 12.8% CAGR | 2030 | Another broad-risk benchmark showing slower traditional growth. We should be higher because regulation and GenAI incident pressure is stronger. Use as conservative floor. |
| Mordor Intelligence | 28.8% CAGR | 2030 | A more moderate governance growth assumption than other analysts. Good for realistic governance forecast, not for the whole market. Balances optimistic and conservative views. |
What can we conclude about the growth rate of the AI safety market?
Based on all the data above, we estimate the AI safety market will grow at approximately 25% CAGR from 2026 through 2030. This reflects fast adoption driven by regulation deadlines, especially 2025 through 2027, plus rising AI incidents.
This growth rate sits between the aggressive governance-only forecasts at 35% to 45% and the slower broad risk management rates at 12% to 13%. The AI safety market grows faster than general IT spending but slower than pure governance tools.
Using 25% CAGR from our 2026 baseline of $5.5 billion, we expect the AI safety market to reach approximately $13.4 billion by 2030. This represents 2.4 times growth in four years.
Looking ten years ahead to 2036, the AI safety market should reach approximately $51.2 billion. This represents 9.3 times growth from 2026, though growth will likely slow after 2030 as governance becomes standard practice.
And if you're curious about what's happening in this (really interesting) market, we publish a quarterly update on the activity in the AI safety market here. We also have a monthly update here.
In our AI safety market deck, we dentify risks investors and builders need to be aware of
What is the projected CAGR for the AI safety market?
At New Market Pitch, we like it when the information is clear and easy to digest, as you will see in the pitch about the AI safety market. That's also why we have made this clear summary table.
| Year | Worst Case (15% annual growth rate) | Realistic (25% annual growth rate) | Best Case (35% annual growth rate) |
|---|---|---|---|
| 2027 | $6.3B | $6.9B | $7.4B |
| 2028 | $7.3B | $8.6B | $10.0B |
| 2029 | $8.4B | $10.7B | $13.5B |
| 2030 | $9.6B | $13.4B | $18.3B |
| 2031 | $11.1B | $16.8B | $24.7B |
| 2032 | $12.7B | $21.0B | $33.3B |
| 2033 | $14.6B | $26.2B | $44.9B |
| 2034 | $16.8B | $32.8B | $60.7B |
| 2035 | $19.3B | $41.0B | $81.9B |
| 2036 | $22.3B | $51.2B | $110.6B |
What would it take for the AI safety market to be worth $110.6 billion?
For the AI safety market to reach $110.6 billion by 2036, AI regulation would need to become more uniform globally rather than remaining EU-led. Major economies including the United States, China, and India would need to implement comprehensive AI safety requirements.
Runtime safety monitoring would need to become mandatory for many deployed AI systems. This means continuous monitoring, incident response protocols, and detailed audit logs would shift from optional to required for production AI.
Insurance and liability markets would need to require safety controls similar to how cybersecurity controls became required for cyber insurance. Companies would need AI safety certifications to obtain coverage or favorable rates.
Large platform providers would need to charge meaningful fees for safety features rather than bundling them for free. The current trend of free safety tools from major vendors would need to reverse toward paid safety platform subscriptions.
Agentic AI systems would need to expand significantly, increasing the risk surface area. More autonomous AI agents operating with less human oversight would drive demand for continuous testing and containment mechanisms.
The AI safety market would need to capture closer to 5% of total AI spending rather than the current 2%. This would require safety to become a board-level concern with dedicated budgets outside of general IT or compliance.
Professional services around AI safety would need to remain strong rather than being displaced by automation. The human expertise required for risk assessment, incident response, and governance would need to stay valuable and well-compensated.
In our AI safety market deck, we answer all the common questions from investors and entrepreneurs
Where is the money in the AI safety market?
What are the categories and how much do they generate?
In 2026, AI trust, risk, and security management platforms and governance systems will generate approximately 35% of AI safety market revenue. These are the systems of record for AI policies, risk assessments, and compliance workflows that enterprises need for audit readiness.
Safety monitoring and incident response operations will account for about 25% of the AI safety market in 2026. This includes continuous monitoring tools, alerting systems, and on-call services that respond when AI systems fail or behave unexpectedly.
Evaluation and red teaming services combined with tooling will represent roughly 20% of AI safety market revenue in 2026. Companies pay for both one-time assessments before deployment and ongoing testing as models evolve.
Guardrails and safety layers including policy enforcement, content filtering, and LLM firewalls will capture about 15% of the AI safety market in 2026. These runtime controls prevent harmful outputs and enforce behavioral boundaries.
Other risk-reduction tooling including privacy controls, security hardening, robustness testing, and explainability features used for risk purposes will make up the remaining 5% of AI safety market revenue in 2026. These are specialized tools addressing specific safety concerns.
Finally, if you really want to understand where is the money, you can check our ranking of the most funded startups in the AI safety market as well as our list of the most valued startups.
How will it evolve?
By 2030, governance platforms will drop to 30% of AI safety market revenue as buyers shift budgets from planning to operations. Safety monitoring and incident response will grow to 30% as companies prioritize running AI safely every day over setting initial policies.
By 2036, monitoring and incident response will reach 35% of the AI safety market as the largest category. Governance platforms will decline to 25% as they commoditize, while guardrails will grow to 20% as runtime enforcement becomes standard practice across deployed AI systems.
Where to spend your energy as an investor or a builder in the AI safety market then?
The biggest and stickiest opportunity in the AI safety market is monitoring and incident response platforms. These tools integrate deeply into operations and generate ongoing recurring revenue as companies run AI systems continuously.
Guardrails and safety layers for agentic systems represent the fastest why-now opportunity. Companies deploying autonomous agents need runtime policy enforcement immediately, and this category is growing faster than the overall market.
Red teaming and evaluation services offer a great wedge to convert into repeatable software products. Start with high-touch services to understand the workflows, then build tools that make the testing process scalable and continuous.
Governance systems that become the audit source of truth are hard to build but highly defensible. Once a company uses your platform for compliance reporting, switching costs are very high and retention approaches 100%.
And if you're curious about where investors are putting their money right now, we publish a quarterly update on the fundraising activity in the AI safety market here. We also analyze long-term funding trends in the AI safety market here.
In our AI safety market deck, we track adoption trends and shifts in consumer behavior
What is the geographical revenue breakdown for the AI safety market?
North America
North America will account for 40% of the AI safety market in 2026, driven by early enterprise adoption and strong venture capital funding for safety startups. This share will decline to 36% by 2030 and 32% by 2036 as other regions accelerate adoption.
The decline reflects not weakness in North America but faster growth in Asia-Pacific where AI deployment is scaling rapidly. North American companies will continue to lead in per-customer spending on comprehensive safety platforms.
Europe
Europe will represent 25% of the AI safety market in 2026, concentrated around EU AI Act compliance deadlines in August 2026. This share will grow to 27% by 2030 and reach 28% by 2036 as regulation drives sustained investment.
European companies face the strictest AI safety requirements globally, which forces higher spending on governance documentation, audit trails, and conformity assessments. This regulatory pressure creates a persistent demand floor that supports vendor growth.
Asia-Pacific
Asia-Pacific will capture 28% of the AI safety market in 2026 as China, Japan, and India deploy AI systems at scale. This share will grow to 32% by 2030 and reach 36% by 2036 as local regulations mature.
The region is moving from adoption-focused to safety-focused as governments implement their own AI safety frameworks. Large Asian technology companies are building internal safety teams and buying specialized tools rather than relying solely on platform providers.
Latin America
Latin America will account for 4% of the AI safety market in 2026, primarily in Brazil and Mexico where larger enterprises adopt AI governance frameworks. This share will decline slightly to 3% by 2030 and 2.5% by 2036.
The decline reflects slower regulatory development and lower per-company IT budgets compared to other regions. Safety spending will concentrate in financial services and telecommunications where regulatory oversight is strongest.
Middle East and Africa
Middle East and Africa will represent 2% of the AI safety market in 2026, led by UAE and Saudi Arabia investing in AI governance infrastructure. This share will decline to 1.5% by both 2030 and 2036.
The region has ambitious AI adoption goals but lacks the regulatory pressure driving safety spending elsewhere. Investment will concentrate in government and oil and gas sectors rather than broad enterprise adoption.
Oceania
Oceania will account for 1% of the AI safety market in 2026, primarily in Australia where financial services and healthcare organizations adopt AI governance tools. This share will decline to 0.5% by 2030 and approach 0% by 2036.
The decline reflects the small absolute market size and increasing consolidation of spending into other regional markets. Australian companies will increasingly buy from global platforms rather than supporting a local AI safety ecosystem.
In our AI safety market deck, we have designed useful charts to give you full market clarity
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