Anyone can now describe an app and get one back in minutes. The open questions come after that: security holes, model bills that eat the margin, and users who build once and leave. This report sets out the whole vibe coding market, from app builders to coding agents.
12 sections to help founders and investors understand the vibe coding market with clarity
We start with the boundaries: which tools count as vibe coding, which don't, and which markets sit right beside it.
A tool that turns a plain-English request into a working app is in. Autocomplete that suggests the next line of code is out, and so is an old drag-and-drop builder with no generative AI. We also explain where coding agents for professional developers fit.
That keeps every chart in the deck comparing like with like.
Vibe coding is hot right now, and it has moved well beyond a meme.
We've found a lot of interesting signals. Collins Dictionary named 'vibe coding' its word of the year in November 2025. In August 2026, Base44 passed $200M in annual recurring revenue after Wix bought it for $80M the year before. Building software by describing it has moved from a catchy phrase to real revenue.
In this section, we look at what is behind this growth, from founders and product teams building their own tools to cheaper and better models, and what it means for the startups racing to keep these users.
Try to find the size of the vibe coding market and you'll hit a problem: most estimates lump it in with all AI coding tools, or with no-code software that came long before.
We used first principles to build our own estimate, then tested it against other sources. We show what goes into it and what stays out, so you can judge the result yourself.
And because this market moves so fast, we show several growth scenarios side by side.
Most people with an idea for software still can't build it. And most engineering teams have a backlog that never gets shorter.
We compare six types of vibe coding tools, from app builders to coding agents. Founders, designers and engineering teams use them differently. We rank the problems they need solved, from slow prototypes to costly development work.
This shows who would pay to go from idea to working app, and who still needs code they can trust in production.
Prompt-to-app builders, agents that run in the terminal, editors that rewrite a whole repo, tools that deploy and host what they just built: vibe coding gets new features every few weeks.
We map the stack, from the models and coding agents to the sandboxes, databases, hosting and payments that turn a prompt into a live app. We rank which layers hold the most value, and list the bottlenecks still in the way, like security flaws, apps that break as they grow, and model costs.
You'll see what people actually ship with these tools today, and what still only works in a demo.
Vibe coding companies make money through monthly plans, credits that get used up with each prompt, team seats, enterprise contracts, and fees for hosting the apps users build.
We compare flat plans, credits and hosting fees. Heavy users can make fixed-price plans expensive to serve. Credits help control costs, but users dislike running out. Hosting can bring recurring revenue after the app is built.
You'll also see why simple landing pages and basic apps are turning into commodities, and what users will keep paying for: apps that stay hosted, teams that build many tools, and companies that run their own models.
Some risks are easy to see: apps with security holes, code that's hard to maintain, and users who leave once their first project is done.
Others are quieter. Most tools rent their models from a few AI labs, which set the prices and also build rival products. App stores have their own rules about apps that write apps. And a big platform can add a free app builder overnight.
For each risk, we give our view of how likely it is and how much it would hurt, so you can plan around it.
Vibe coding has grown very fast. Here, we look at what could keep it growing once the novelty fades.
Some drivers are plain to see: better coding models, cheaper tokens, and lots of people with app ideas but no developer. Others are quieter, like companies letting staff build their own internal tools, hosting that turns prototypes into real products, and agents that test and fix their own code. We also show which drivers feed each other over time.
Before building or investing, you should know why people keep paying for some apps after the first weekend, and what keeps model bills from swallowing the margin.
Vibe coding startups can go from launch to a large round in a matter of months. In this section, we look at who is getting that money, and why.
We'll compare funding for app builders, developer agents and tools sold to large companies. We'll also look at whether fast revenue growth comes with loyal users, and how much investors worry about dependence on model providers.
You'll see what the latest rounds, from fast-rising unicorns to small seed checks, say about which vibe coding companies investors believe can keep their users.
Bolt and Vercel's v0 were among the first prompt-to-app tools many people tried, but they're only a small part of the vibe coding market.
Some of the most interesting players work on one piece. They let a product team turn a design into a working app, build internal tools on top of company data, or check vibe-coded apps for security holes before they go live. They deserve a closer look.
They're hard to compare because they serve very different people. A tool for someone who has never coded and an agent for a team of engineers can both claim the same label. And revenue moves so fast that last quarter's ranking is already out of date.
In this section, we share our market grids and ecosystem maps, so you can see who serves which kind of builder, and where new players are breaking in.
A prompt can build an app in an afternoon. It can't make anyone come back next month.
So we looked at why vibe coding startups fail. Some grow fast on users who build one project and leave. Some price a flat plan below what the model calls cost them. Others ship apps with security holes, or depend on a model maker that launches its own app builder.
If you're building, you'll see why one-time users, model bills and security gaps can undo fast growth. If you're investing, you'll know what to check about retention, gross margin and dependence on one model provider.
Claude Code, Codex, Emergent… a few vibe coding tools have signed up paying users very fast. How many of those users stay is still an open question.
Claude Code works in engineers' existing terminals. OpenAI's Codex reaches people through ChatGPT plans. Emergent helps noncoders launch hosted apps. Each reduced the effort needed to get a first working result, but for different customers.
We'll show how the strongest teams chose who to build for first, kept model costs under control, and turned a first project into a habit.
This deck is for founders, investors, software companies, product and engineering leaders, and strategy teams who need a clear view of the vibe coding market.
It helps if you're choosing between app builders for non-coders and agents for engineers, or deciding how to price a product that runs on someone else's model, and need to understand users, costs, security, funding and competition across the whole market.
The deck is around 196+ pages. It is designed to be comprehensive enough to support serious market evaluation, while still being fast to read and easy to use.
We prioritize signal, structure, and visual clarity over unnecessary length.
We define the vibe coding market as AI tools that let users build software primarily by describing what they want in natural language.
We include prompt-to-app platforms, autonomous coding agents and development environments that generate and revise working applications.
We exclude traditional no-code tools without generative AI, basic autocomplete and infrastructure that does not create software.
Yes. All key data points and assumptions are explained and sourced in the deck.
All sources are tier-1: company filings, funding databases, public datasets, expert interviews, industry reports, etc.
Yes. The deck was last updated on October 14, 2026 with the latest market signals.
Yes. This is a one-time purchase. There is no subscription required to access the deck.
Yes. You can use NEWMARKET for 20% off when purchasing two reports, or NEWMARKETMAX for 30% off when purchasing five or more.
If a market you care about is not currently on the list, email us at team@newmarketpitch.com and we may be able to cover it.
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Building an app now takes one sentence. Keeping it secure, online and worth paying for takes a lot more. This deck covers the whole vibe coding market: its size, users, technology, business models, funding, key players, risks, and the gaps still open for newcomers.
