Here's what's in our Agentic AI market report
In our agentic AI market deck, you will find everything you need to understand the market
SUMMARY
Here's what's in our Agentic AI market report: roughly 210+ pages covering market size, buyers, technology, funding, competitors, pricing, risks and the strategies shaping the market today.
The definition is deliberately narrow. We count systems that can take a goal, work through multiple steps, maintain task state and take actions through tools or integrations, rather than treating every LLM-powered copilot as an agent.
That definition has a big impact on market sizing. Published Agentic AI forecasts can look wildly different because some include copilots and traditional automation, while others focus on genuinely agentic systems.
The funding picture is already substantial. Our current dataset tracks 101 disclosed Agentic AI rounds across five recent quarters, representing about $4.69 billion in capital.
Enterprise adoption still has a fairly obvious bottleneck: reliability. A system that works nine times out of ten can look excellent in a demo and still be unusable when the tenth failure touches a customer, payment, production system or important workflow.
Pricing is starting to move beyond the usual SaaS seat model. Task-based and outcome-based models make more sense when customers are paying for tickets resolved, documents processed, code shipped or other completed work.
The market is also splitting into layers. Infrastructure companies are building orchestration, memory, evaluation and tool-use systems, while application companies are trying to own specific workflows where an agent can produce measurable economic value.
Going too horizontal looks increasingly risky. General-purpose agents can demonstrate a lot of capabilities without becoming dependable enough at any single workflow for a customer to build real operations around them.
The stronger products tend to combine meaningful autonomy with visible controls. They let agents complete real work, but give users clear ways to monitor, approve and correct what happens when the system gets something wrong.
The report is therefore most useful for founders, investors, operators and strategy teams already trying to make a decision about Agentic AI. Someone looking for a basic introduction to AI agents probably does not need a 210+ page market report.
This market map, featured in our agentic AI market deck, highlights top companies and startups in the agentic AI market
Is this Agentic AI market report actually up to date?
Yes. The current Agentic AI market report is regularly refreshed so the companies, funding, technology and market signals reflect what is happening now.
Agentic AI moves too fast for a report that gets updated once a year. New frameworks appear, startups raise money, enterprise platforms launch agent products and entire parts of the stack can change within a few months.
We therefore revisit the sections that age fastest, especially funding, companies, infrastructure and technology. Older information stays when it helps explain how the market got here, but the report is built to answer what the Agentic AI market looks like today.
What do I actually get in the Agentic AI market report?
The Agentic AI market report gives you roughly 210+ pages covering the market, the companies, the money, the technology and the main commercial questions people are trying to figure out right now.
We structured the report around 12 sections. It starts with a clear definition of Agentic AI, then moves into market size, buyers, infrastructure, pricing, risks, funding, competitors and startup strategy.
The idea is simple: you should be able to open the report with a specific question in mind and quickly find the part that helps answer it.
| Section | What we cover |
|---|---|
| Market Definition | What counts as Agentic AI and what sits outside the market |
| Market Opportunity | Where real adoption and spending are showing up |
| Market Size | Current market estimate, assumptions and future potential |
| Pain Points | What buyers are actually trying to solve |
| Tech & Infra | Frameworks, APIs, memory, evaluation and agent infrastructure |
| Value Creation | Pricing, monetization and business models |
| Market Challenges | Reliability, security and adoption problems |
| Growth Drivers | What could push Agentic AI adoption higher |
| Investor Bets | Funding activity and where investors are placing money |
| Top Players | Startups, platforms and major competitors |
| Startup Killers | Common reasons Agentic AI startups struggle |
| Startup Strategies | What stronger Agentic AI companies are doing differently |
As this chart shows, and as featured in our agentic AI market deck, search interest in AI agents has been rising rapidly
Does the Agentic AI report actually separate AI agents from normal copilots?
Yes. The Agentic AI report uses a fairly strict definition, so we do not count every product with an LLM feature as an AI agent.
For us, an Agentic AI product needs to do more than generate an answer. The system should be able to take a goal, follow or create a sequence of steps, keep track of the task and take actions through tools or integrations.
Human approval can still be part of the workflow. Plenty of useful agents stop and ask for confirmation before doing something important.
Basic copilots, simple prompt wrappers and deterministic automation usually sit outside the core market definition. Otherwise, the market size becomes artificially huge pretty quickly.
| Usually included | Usually excluded |
|---|---|
| Multi-step AI agents | Basic generative AI assistants |
| Agents that use external tools | Copilots that only suggest content |
| Systems that maintain task state | One-off tool calls with no planning |
| Autonomous or semi-autonomous workflows | Traditional deterministic automation |
If you want more recent data on this point, please see our latest agentic AI market report.
Does the Agentic AI market report include market size and forecasts?
Yes. The Agentic AI market report includes our current market-size estimate, the assumptions behind it and a forward view of how large the market could become.
We start by defining what actually belongs inside Agentic AI. That sounds obvious, but published estimates can end up miles apart simply because one research firm counts copilots, automation tools and AI assistants while another uses a much narrower definition.
Once the boundary is clear, we estimate the relevant market, compare the result with external research and check whether the number makes sense against company revenue, adoption and spending patterns.
We also show what would need to improve for Agentic AI spending to keep growing, including reliability, observability, measurable ROI and enterprise willingness to hand more work to agents.
This chart, included in our agentic AI market deck, illustrates yearly VC funding for agentic AI startups
Does the Agentic AI report cover the US, Europe and other regions?
Yes. The Agentic AI market report takes a global view and includes regional data across North America, Europe, Asia, Africa and South America.
The report looks at where Agentic AI revenue, companies and investment activity are concentrated. We also use regional funding and company examples when they help show how the market is developing differently from one part of the world to another.
You should not expect a country-by-country regulatory encyclopedia. The geographic coverage is there to help you understand where the Agentic AI market is actually forming and where commercial activity is strongest.
Does the Agentic AI report include startups and big competitors?
Yes. The Agentic AI report covers newer startups alongside major companies such as OpenAI, Microsoft, Salesforce and ServiceNow.
Agentic AI is being built from both ends. Startups are creating new infrastructure, vertical agents and workflow products, while large software companies already have distribution, enterprise customers and existing data.
We group companies by what they are actually building rather than throwing every AI company into one giant list. It becomes much easier to see who competes directly, who sits elsewhere in the stack and which parts of Agentic AI are getting crowded.
This chart, included in our agentic AI market deck, shows how Cognition is positioned in agentic AI
Does the Agentic AI report cover recent funding rounds and investors?
Yes. The Agentic AI market report includes recent fundraising activity and looks at where investors are putting serious money.
Our current funding work tracks 101 disclosed Agentic AI rounds across five recent quarters, representing about $4.69 billion in capital.
We use those rounds to see which parts of the market are attracting the most money, how deal activity is changing and which investment themes keep coming back.
A list of funding announcements is easy to find online. The useful part is seeing what those deals say when you look at them together.
Does the Agentic AI report cover the technology stack?
Yes. The Agentic AI report has a dedicated section on the infrastructure and technology used to build and run agents.
We cover orchestration frameworks, tool-use APIs, memory and context systems, evaluation tools and other parts of the agent stack.
We also separate technology that is already being used from products still in beta or areas that are only starting to emerge. In Agentic AI, the distance between an impressive demo and something a company can deploy reliably is still pretty big.
The section stays focused on technology that changes what agents can actually do or how safely they can do it.
If you want more recent data on this point, please see our latest agentic AI market report.
This chart, included in our agentic AI market deck, illustrates yearly funding for agentic AI startups
Does the Agentic AI report explain who actually buys these products?
Yes. The Agentic AI report looks at the teams and companies paying for Agentic AI, along with the workflows they are trying to automate.
We cover buyers such as enterprise teams, software companies, customer-service operations and knowledge workers dealing with repetitive multi-step work.
We also look at whether a use case has a real budget behind it. Some Agentic AI demos look impressive but solve a problem nobody is desperate to pay for.
That buyer angle helps show which use cases could turn into meaningful businesses and which ones are mostly interesting technology.
Does the Agentic AI report compare business models and pricing?
Yes. The Agentic AI report looks at how agent companies are charging customers and which business models make sense for different types of work.
We cover task-based pricing, outcome-based fees, platform models, enterprise contracts and other approaches appearing across the market.
Agentic AI creates an interesting pricing problem because the customer may care about completed work rather than software access. A company that resolves support tickets, writes code or processes documents may eventually charge around the outcome instead of the number of seats.
We compare those models with the kind of value the product actually creates, which makes the pricing section useful for founders as well as investors.
This chart, included in our agentic AI market deck, compares the main business model options for autonomous AI agent platforms
Does the Agentic AI report cover reliability, security and adoption problems?
Yes. The Agentic AI market report spends real time on the problems that can stop agents from working in production.
Reliability is one of the biggest ones. An agent that succeeds nine times out of ten can still be unusable if the tenth failure creates a serious business problem.
We also cover security, accountability, human approval, cascading errors and the difficulty of giving autonomous software access to real company systems.
Then there is buyer fatigue. Companies have now seen enough AI demos to know that a polished prototype does not automatically survive messy real-world workflows.
If you want more recent data on this point, please see our latest agentic AI market report.
Does the Agentic AI report explain what could make adoption grow faster?
Yes. The Agentic AI report covers the specific changes that could push companies to spend more on agents.
Better reliability is one. Stronger monitoring is another. Clearer ROI, safer human-in-the-loop systems and pricing that buyers can easily understand also help.
We separate growth drivers that are already visible from the ones people still mostly talk about.
A huge theoretical market does not mean much if companies still do not trust agents with important work.
This chart, featured in our agentic AI market deck, shows the share of revenue generated by each customer segment in the agentic AI market
Does the Agentic AI report explain why agent startups fail?
Yes. The Agentic AI report has a full section on the mistakes that keep showing up in failed or struggling agent startups.
One pattern is building something that looks autonomous in a demo but breaks once it hits real customer data, exceptions and edge cases.
Another is going too horizontal. A general-purpose agent can sound impressive while never becoming good enough at one workflow for a company to depend on it.
We also look at weak human fallback, poor error handling and pricing models that promise outcomes before the company can reliably measure or deliver those outcomes.
Does the Agentic AI report show what stronger startups are doing differently?
Yes. The Agentic AI report looks at how stronger companies such as Cognition, Sierra and major enterprise agent platforms are approaching product design and deployment.
A common pattern is giving agents real end-to-end work while making failures visible and easy to correct.
The stronger products also tend to connect the agent to a measurable business result. Customers care much more about tickets resolved, code shipped or work completed than the number of AI interactions happening behind the scenes.
We use those examples to keep the strategy section practical rather than turning it into generic startup advice.
If you want more recent data on this point, please see our latest agentic AI market report.
This chart, included in our agentic AI market deck, shows how autonomous AI agent platform technology has evolved over time
Can I see where the Agentic AI market data comes from?
Yes. The Agentic AI market report shows where the important numbers and assumptions come from.
Depending on the topic, we use company information, funding databases, public datasets, expert interviews and industry research.
For estimates we build ourselves, especially market sizing, we explain the assumptions so you can see how we reached the number.
That transparency is particularly useful in Agentic AI because two reports can quote very different figures while both calling them the size of the same market.
Who is the Agentic AI market report for?
The Agentic AI market report is built mainly for founders, investors, operators and strategy teams trying to make a decision about the market.
Founders can use the report to study buyers, competitors, pricing, infrastructure and startup mistakes. Investors can use it to map the market, review funding activity and compare different parts of the Agentic AI stack.
Strategy and corporate teams can use the report for market entry, competitor research, partnerships and internal planning.
Someone who only wants a basic explanation of what an AI agent is probably does not need a 210+ page report. It becomes much more useful once you already care about the market and want to go deeper.
If you want more recent data on this point, please see our latest agentic AI market report.
In our agentic AI market deck, we identify pain points entrepreneurs should prioritize
How long is the Agentic AI report, and how do I get it?
The Agentic AI market report is roughly 210+ pages, written in English and delivered digitally.
The report uses short sections, charts, market maps and structured analysis so you can jump directly to the topic you care about.
There is no physical shipping. You receive access online after purchase, either through an immediate download or a download link sent by email.
How much does the Agentic AI market report cost?
The Agentic AI market report currently starts at $49 as a one-time purchase.
The product page currently shows three options at $49, $79 and $99. All three display the same 12 core sections, so we do not claim extra differences that are not clearly shown on the page.
Multi-report discounts are also available. The current offers include 20% off when buying two reports and 30% off when buying five or more, along with a separate 10% order discount displayed on the product page.
| Option | Current price | Payment |
|---|---|---|
| PRO | $49 | One-time |
| PRO+ | $79 | One-time |
| PRO++ | $99 | One-time |
This chart, included in our agentic AI market deck, shows the share of revenue by region across Europe, Asia, North America, Africa, and South America in the agentic AI market
Where can I buy the latest Agentic AI market report?
You can buy the latest New Market Pitch Agentic AI Market Report directly from NewMarketPitch.com, with digital delivery in English.
The current Agentic AI market report starts at $49 and runs to roughly 210+ pages.
It is built for people looking for a recent Agentic AI market research report, a 2026 Agentic AI industry report, current Agentic AI market data, or research covering market size, startups, funding, technology, competitors, business models and risks.
This chart, included in our agentic AI market deck, illustrates yearly VC funding for agentic AI startups
