What is the real market size of the agentic AI market?
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In our agentic AI market deck, you will find everything you need to understand the market
The agentic AI market is growing fast in 2026.
Companies are spending billions on software that can plan tasks and take action automatically.
We analyzed data from ten market research firms and built our own bottom-up calculation to size this market.
And if you want to better understand this new industry, you can download our pitch covering the agentic AI market.
Insights
- Salesforce Agentforce already generates roughly $540 million in annual recurring revenue from 18,500 deals, showing enterprise buyers will pay for production-grade agentic AI software that delivers measurable business outcomes.
- Gartner predicts that 40% of enterprise applications will embed task-specific AI agents by 2026, up from less than 5% in 2025, which means agentic AI distribution will accelerate through existing software.
- The agentic AI market represents approximately 0.18% of global IT spending in 2026, which is reasonable for an emerging software category that sits on top of broader AI infrastructure.
- More than 40% of agentic AI projects will be scrapped by 2027 according to Gartner, which signals that reliability, governance, and ROI proof are critical features for buyers.
- Asia Pacific accounts for roughly 25% of agentic AI market revenue in 2026 despite having 519 million knowledge workers, suggesting massive untapped growth potential in this region.
- The agentic AI market could reach $151.6 billion by 2036 under realistic growth assumptions, driven by apps embedding agents, production usage replacing pilots, and pricing shifting from seats to outcomes.
- Agentic applications capture 55% of market revenue in 2026 because business teams can buy them directly to solve specific jobs in support, sales, operations, and finance workflows.
- Market research firms label their estimates as "agentic AI" or "AI agents" but definitions vary widely, with some including services, non-agentic assistants, or robotics that inflate true software-only market size.
- North America generates 45% of agentic AI revenue in 2026 but this share will drop to 32% by 2036 as Asia Pacific grows faster due to digitization and workforce expansion.
- The realistic growth rate for the agentic AI market is roughly 30% annually from 2026 to 2036, similar to broader AI spending growth but slower than early hypergrowth projections.
- Gartner expects agentic AI to handle 15% of daily business decisions by 2028, which means enterprises are shifting from pilots to production workflows that generate recurring revenue.
How do we define the agentic AI market?
We define the agentic AI market as software that can turn a user goal into a multi-step plan and take actions through tools or integrations to produce an outcome.
We include agentic applications and platforms that manage task state (context and memory), execute and verify steps, and operate with either full autonomy or human approval gates.
We exclude copilots that only suggest content, one-off tool calls without planning or state, and deterministic automation like RPA, BPM, or iPaaS where the LLM does not drive step selection or execution.
We also use this definition when we make and update our pitch covering everything there is to know about the agentic AI market
In our agentic AI market deck, we will give you useful market maps and grids
What is the size of the agentic AI 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 agentic AI 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 vs. Ours |
|---|---|---|---|
| Fortune Business Insights | $5.99B | 2024 | Their "agentic AI market" label is close to our definition. They may include services around software which makes their estimate slightly broader than ours. |
| Mordor Intelligence | $6.96B | 2025 | Their "agentic AI market" likely includes platforms and apps. They could include some adjacent non-agentic tooling which broadens their scope. |
| Precedence Research | $10.86B | 2026 | Their "agentic AI market" headline label is very close to ours. They likely include services and adjacent autonomy spend which makes their estimate broader. |
| MarketsandMarkets | $7.84B | 2025 | Their "AI Agents market" is often broader than ours. They may include assistants, vertical agents, and services with a looser definition. |
| Grand View Research | $7.63B | 2025 | Their "AI Agents market" is likely broader than our definition. They could include non-agentic automation while focusing mostly on software revenue. |
| Global Market Insights | $5.9B | 2024 | Their "AI Agents market" label is broader than our definition. They could include basic assistants and non-agentic agents. |
| Global Market Insights | $6.8B | 2024 | Their "autonomous AI and autonomous agents" is broader than ours. Autonomy can include robotics and IT automation that is not purely goal-to-action software. |
| Data Bridge Market Research | $5.38B | 2024 | Their "AI Agents market" likely has a broad taxonomy across applications. They probably include non-agentic assistants in their estimate. |
| Precedence Research | $7.92B | 2025 | Their "AI Agents market" is likely broader than our definition. They may include more categories than true agentic planning and state management. |
| Fortune Business Insights | $7.29B | 2025 | This is a 2025 value from the same source as above. Their trajectory is useful as an agentic AI anchor close to our definition. |
What can we conclude, then?
The sources that explicitly label their market as "agentic AI" cluster around $6 billion in 2024 and $7 billion in 2025, with one major source stating $10.86 billion for 2026.
We estimate the agentic AI market at roughly $11 billion in 2026, which sits in the middle of the $10 billion to $12 billion defensible range after accounting for definitional differences. This is our first estimate and we will refine it further with a bottom-up calculation.
In our agentic AI 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 agentic AI market.
Useful data about the agentic AI market
Here is some useful and reliable data we have collected, they will help us estimate the size of the agentic AI market:
- Worldwide IT spending will reach $6.08 trillion in 2026 (Gartner)
- Global AI market is roughly $235 billion presently and projected above $631 billion by 2028 (IDC)
- AI spending forecast implies 29% annual growth from 2024 to 2028 (Business Wire)
- 40% of enterprise apps will include task-specific AI agents by 2026 (Gartner)
- 75% of knowledge workers use AI tools regularly (Staffing Industry Analysts)
- Asia-Pacific has roughly 519 million knowledge workers (Sustainable Development Goals)
- Microsoft 365 Copilot pricing is commonly $30 per user per month (Microsoft)
- OpenAI publishes ChatGPT Business pricing as per-user monthly plans (OpenAI)
- Salesforce Agentforce generates roughly $540 million in annual recurring revenue (Salesforce)
- Salesforce closed 18,500 Agentforce deals since launch (Salesforce)
- More than 40% of agentic AI projects will be scrapped by 2027 (Reuters)
- Gartner expects agentic AI to handle 15% of daily business decisions by 2028 (Reuters)
Method and calculation to get the size of the agentic AI market
We start with the spending ceiling. All IT spending in 2026 is about $6.08 trillion.
The agentic AI market must be a small slice of that total. All AI spending is already large at roughly $235 billion now and heading above $631 billion by 2028.
This means agentic AI is a sub-segment inside AI spending. Adoption is real but early in 2026.
Gartner expects 40% of enterprise apps to include task-specific agents by 2026. This signals broad embedding but not full monetization yet.
Gartner also expects many projects to fail. More than 40% will be scrapped by 2027, which implies lots of pilots and resets in 2026.
We need a paid usage proxy. Salesforce is useful because the company reports hard numbers.
Agentforce annual recurring revenue is already about $540 million. There are 18,500 deals, meaning many customers are experimenting and then scaling.
Salesforce is only one vendor. In a healthy new category, the top few platforms plus many smaller vendors typically create a market several times the leader's revenue.
We assume 2026 agentic software revenue is roughly 15 to 25 times a leading vendor line like Agentforce. That yields $8 billion to $14 billion.
Enterprise AI add-ons are commonly priced per user per month. Even if only a small share of knowledge workers pay for action-taking agents in 2026, per-seat economics can still produce multi-billion revenue.
The most defensible 2026 point estimate for the agentic AI market is roughly $11 billion, inside the $8 billion to $14 billion first-principles band.
Sanity checks
Let's verify this estimate makes sense (we always double-check everything, as you will see in our pitch deck covering the agentic AI market).
Our $11 billion estimate is about 0.18% of $6.08 trillion IT spending. That feels plausible for a new software category.
If AI spending is roughly $235 billion, then $11 billion is about 5% of AI spending. That is aggressive but believable given agents sit on top of many AI tools.
Salesforce Agentforce is already roughly $540 million in annual recurring revenue. If the whole agentic AI market were only $2 billion to $3 billion, Salesforce alone would be too large a share. At $11 billion, Salesforce could be roughly 5% of the market, which matches an early market with many vendors.
What's our final guess then?
Based on everything above, we estimate the agentic AI market at $11 billion in 2026. This sits between the market research estimates and our bottom-up calculation.
To put this in perspective, the global CRM software market is roughly $88 billion in 2026. The agentic AI market is about one-eighth of that size.
The collaboration software market is roughly $50 billion in 2026. The agentic AI market is about one-fifth of that size.
The RPA market is roughly $13 billion in 2026. The agentic AI market is approaching the same size as the entire RPA category.
Our $11 billion estimate for the agentic AI market in 2026 reflects early adoption where enterprises are moving from pilots to production workflows. This market will grow fast as more apps embed agents and pricing shifts from seats to outcomes.
In our agentic AI market deck, we provide the data and the context to understand it
Is the agentic AI market mature, competitive, fragmented?
The maturity score of the agentic AI market in 2026 is 30/100
The agentic AI market in 2026 is not mature. Gartner expects more than 40% of projects to be scrapped by 2027, which shows high pilot failure rates.
The market is still shifting from assistants to agents. Standards and governance are still forming, which means buyers are experimenting and vendors are iterating quickly.
The competitive score of the agentic AI market in 2026 is 85/100
The agentic AI market in 2026 is very competitive. Many incumbents like CRM, ITSM, and productivity suites are bundling agents into core products.
Gartner warns about agent washing, meaning lots of vendor crowding and messaging noise. Startups and established companies are both fighting for market share.
The fragmentation score of the agentic AI market in 2026 is 80/100
The agentic AI market in 2026 is highly fragmented. Many vertical workflows require specialized integrations and domain rules.
Buyers can mix platforms, point solutions, and internal builds. This fragmentation creates opportunities for both horizontal platforms and vertical specialists.
How much bigger will the agentic AI market be in 10 years?
What are the different forecasts for the growth rate of agentic AI market?
One more time, let's check what other market research firms have to say.
| Company | Annual Growth Rate | Through Year | Comment |
|---|---|---|---|
| Fortune Business Insights | 42.8% CAGR | 2032 | Their close agentic label is useful. They likely include services so we should adjust down for software-only strictness. This represents an aggressive early-window growth rate. |
| Mordor Intelligence | 43.61% CAGR | 2030 | Their close agentic label is helpful. We should expect slower growth later as penetration rises. Don't extrapolate this rate forever beyond early adoption. |
| Precedence Research | 43.84% CAGR | 2034 | This is an aggressive trajectory estimate. They likely include broader autonomy budgets. We should discount for our exclusions of non-agentic categories. |
| MarketsandMarkets | 46.3% CAGR | 2030 | Their AI agents label can be broader than agentic planning. Use this as an upside signal. This should not be our baseline assumption. |
| Grand View Research | 49.6% CAGR | 2033 | This is a very high early-growth estimate. We should assume meaningful slowdown beyond early adoption years. This rate will not sustain for a full decade. |
| Global Market Insights | 38.5% CAGR | 2034 | This is a more moderate growth rate. They may include non-agentic assistants. Treat this as a mid-case for agents broadly defined. |
| Global Market Insights | 30.3% CAGR | 2034 | Their autonomous AI label is broader than our definition. Use this as a conservative floor for growth. This includes categories beyond true agentic software. |
| Data Bridge Market Research | 46.05% CAGR | 2032 | Their broad definition is likely in play here. This is good for directional insight. We should adjust down for true agentic-only market growth. |
What can we conclude about the growth rate of the agentic AI market?
We estimate the agentic AI market will grow at roughly 30% annually from 2026 to 2036. This is lower than many research reports but more realistic over a full decade.
Most reports assume hypergrowth continues through 2030 to 2034. In practice, growth slows when large suites bundle agents into existing licenses, token costs compress, agent washing gets filtered out, and governance friction limits full autonomy.
Broader AI spending growth is projected at roughly 29% annually from 2024 to 2028. True agents can beat that early but should converge toward similar rates as the market matures.
We expect the agentic AI market to be roughly 2.9 times bigger by 2030, reaching about $31.4 billion. By 2036, the market should be roughly 13.8 times bigger, reaching about $151.6 billion.
And if you're curious about what's happening in this (really interesting) market, we publish a quarterly update on the activity in the agentic AI market here. We also have a monthly update here.
In our agentic AI market deck, we dentify risks investors and builders need to be aware of
What is the projected CAGR for the agentic AI 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 agentic AI market. That's also why we have made this clear summary table.
| Year | Worst Case (20% annual growth) | Realistic (30% annual growth) | Best Case (40% annual growth) |
|---|---|---|---|
| 2027 | $13.2B | $14.3B | $15.4B |
| 2028 | $15.8B | $18.6B | $21.6B |
| 2029 | $19.0B | $24.2B | $30.2B |
| 2030 | $22.8B | $31.4B | $42.3B |
| 2031 | $27.4B | $40.8B | $59.2B |
| 2032 | $32.9B | $53.0B | $82.9B |
| 2033 | $39.5B | $68.9B | $116.1B |
| 2034 | $47.4B | $89.6B | $162.5B |
| 2035 | $56.9B | $116.5B | $227.5B |
| 2036 | $68.1B | $151.6B | $318.2B |
What would it take for the agentic AI market to be worth $318.2 billion?
To reach $318.2 billion by 2036, agents would need to become a default layer inside most enterprise applications, not optional add-ons. This means software vendors would embed agentic capabilities as core features rather than selling them separately.
Pricing would need to shift from per-seat models to per-outcome or per-workflow-run models at scale. Enterprises would pay based on tasks completed or business value delivered instead of user counts.
Reliability would need to improve dramatically. The scrapped project rate that Gartner warns about would need to drop sharply, meaning agents would need to handle complex workflows with minimal errors.
Clear security and audit standards would need to become normal across the industry. Enterprises would need standardized frameworks for governing high-autonomy workflows that involve sensitive data or critical decisions.
The agentic AI market would need to capture budget from traditional automation categories. Companies would shift spending from RPA, BPM, and iPaaS tools toward agentic platforms that offer more flexible automation.
Asia Pacific adoption would need to accelerate faster than current trajectories. With 519 million knowledge workers in the region, this geography would need to match or exceed North American adoption rates.
Platform vendors would need to consolidate successfully. Instead of hundreds of fragmented point solutions, a few dominant platforms would emerge that standardize agent orchestration, memory, and execution across workflows.
Governance and evaluation tooling would need to become mandatory rather than optional. Every production agent deployment would require observability, testing, and compliance tools that create their own revenue streams.
In our agentic AI market deck, we answer all the common questions from investors and entrepreneurs
Where is the money in the agentic AI market?
What are the categories and how much do they generate?
Agentic applications capture 55% of agentic AI market revenue in 2026. These are vertical and horizontal apps that solve specific jobs like customer support, sales operations, IT service management, and finance workflows.
Business teams can buy agentic applications directly to solve immediate problems. This drives faster adoption than platforms because the ROI is clear and the buying process is simpler.
Agentic platforms capture 30% of agentic AI market revenue in 2026. These platforms provide orchestration, memory management, execution engines, and approval workflows that technical teams use to standardize agents across the company.
Platforms grow as companies move beyond point solutions and need to manage many agents consistently. Technical teams buy platforms to reduce fragmentation and improve governance.
Observability, evaluation, governance, and safety tooling capture 15% of agentic AI market revenue in 2026. These tools are needed to ship agents in production but the category is still early.
Governance tools grow as enterprises demand auditability for autonomous decisions. Evaluation tools become essential as companies test agent reliability before deployment.
Finally, if you really want to understand where is the money, you can check our ranking of the most funded startups in the agentic AI market as well as our list of the most valued startups.
How will it evolve?
By 2030, agentic applications will drop to 45% of market revenue as platforms gain share. By 2036, applications will be 40% as standardization continues.
By 2030, agentic platforms will grow to 35% of market revenue. By 2036, platforms will reach 40% as companies consolidate around fewer vendors.
By 2030, governance and evaluation tools will grow to 20% of market revenue. By 2036, this category stays at 20% as it becomes mandatory infrastructure.
Where to spend your energy as an investor or a builder in the agentic AI market then?
The fastest growth opportunity is in platforms and governance tooling. These categories will grow faster than applications as the market standardizes and regulatory pressure increases.
The easiest monetization is in vertical applications with clear ROI. Support agents, IT agents, and sales operations agents can show immediate cost savings or revenue impact.
The highest upside is in system-of-action layers that can run many workflows safely. Platforms that become the default orchestration layer for enterprise agents will capture disproportionate value.
Builders should focus on reliability and governance features, not just agent capabilities. The high scrapped-project rate means buyers prioritize production-readiness over demo magic.
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 agentic AI market here. We also analyze long-term funding trends in the agentic AI market here.
In our agentic AI market deck, we track adoption trends and shifts in consumer behavior
What is the geographical revenue breakdown for the agentic AI market?
North America
North America generates 45% of agentic AI market revenue in 2026. This region leads because enterprises adopt new software categories faster and have larger budgets for AI experimentation.
By 2030, North America will drop to 38% of revenue as other regions catch up. By 2036, North America will be 32% as Asia Pacific grows faster due to workforce expansion and digitization.
Europe
Europe generates 25% of agentic AI market revenue in 2026. European enterprises are adopting agents but face stronger regulatory scrutiny around autonomy and data governance.
By 2030, Europe will drop slightly to 23% of revenue. By 2036, Europe will be 20% as growth slows relative to Asia Pacific.
Asia
Asia generates 25% of agentic AI market revenue in 2026 despite having 519 million knowledge workers. This gap represents massive untapped potential as digital transformation accelerates.
By 2030, Asia will grow to 33% of revenue as enterprises digitize faster. By 2036, Asia will reach 42% as the region becomes the largest market for agentic AI software.
Latin America
Latin America generates 3% of agentic AI market revenue in 2026. Adoption is slower due to lower IT budgets and less mature software markets.
By 2030 and 2036, Latin America will hold steady at 4% of revenue. Growth will match the global average but not accelerate faster.
Middle East and Africa
Middle East and Africa generate 2% of agentic AI market revenue in 2026. These regions are the smallest markets for enterprise software in general.
By 2030 and 2036, Middle East and Africa will remain at 2% of revenue. Growth will be steady but small in absolute terms.
Oceania
Oceania is counted inside the Asia category to simplify the breakdown. Australia and New Zealand follow similar adoption patterns to North America but represent a much smaller absolute market.
In our agentic AI market deck, we have designed useful charts to give you full market clarity
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