AI market data and statistics from Mindber's directory
AI market data describes how the AI software market is changing: how many tools launch in each category, how they are priced, which ones grow and which fade or shut down. This section publishes statistics drawn from Mindber's own directory and public sources, with every figure dated and its method explained, so you can cite it or check it yourself.
Most AI statistics in circulation come from surveys, vendor announcements or funding news. Mindber adds a different view: structured data on the AI products themselves, collected from public sources and kept in a directory that tracks categories, pricing models, launch dates, public activity signals and shutdowns.
Reports in this section answer concrete questions. Which categories are growing? How common are free tiers compared with paid-only products? How many tools go quiet within their first years, and what did their public signals show beforehand? Each figure comes from a dated query, and the methodology and data sources pages explain how records are collected and scored.
Directory data has limits. It reflects the products Mindber has indexed, traffic numbers are third-party estimates, and a product listed as inactive may still have private customers. Every report states these limits alongside the numbers, and where a report uses outside surveys, it names and dates each one.
What you will learn
- What Mindber's directory data covers and how it is collected
- How AI tools are distributed across categories and pricing models
- What public signals show about AI products that stall or shut down
- How to read third-party traffic estimates and survey statistics
- How to cite Mindber data correctly
Key terms
- Generative AI
Generative AI is a type of artificial intelligence that creates new content, such as text, images, audio, video or code, based on patterns learned…
- AI agent
An AI agent is software that uses an AI model to pursue a goal over multiple steps with some autonomy. It decides what to do next, calls tools such…
- Seat-based pricing
Seat-based pricing is a billing model in which a software vendor charges a fixed fee per user, or seat, usually per month or year. Many AI business…
- Token-based pricing
Token-based pricing is a billing model in which an AI provider charges for the number of tokens a model processes, usually quoted per million…
- Foundation model
A foundation model is a large AI model trained on broad data at scale that can be adapted to many different tasks, such as writing, coding, image…
- Open-weight model
An open-weight model is an AI model whose trained parameters (weights) are published for anyone to download, run and often fine-tune on their own…
Explore Mindber
Further reading
- Google's AI Brain Drain: Shazeer and Jumper Leave
Noam Shazeer left Google for OpenAI and John Jumper left DeepMind for Anthropic in one week — why the AI talent drain hit Alphabet stock and the race.
- The SpaceX IPO Is Quietly the First Big AI IPO
SpaceX (Nasdaq: SPCX) went public June 12, 2026 — putting Grok, xAI, and a $60B Cursor deal on the market. What the first AI IPO means for buyers.
- The AI Shelfware Epidemic: Why 46% of Software Licenses Go Dark (2026 Data)
AI shelfware drains budgets: 46% of SaaS licenses sit unused monthly and 72% of enterprise AI initiatives destroy value. The 2026 data and a 30-minute audit.
Frequently asked questions
Where does Mindber's AI market data come from?
From Mindber's directory of AI software, built from public sources: product websites, pricing pages, documentation, public activity signals and third-party discovery sources. The data sources and methodology pages list what is collected and how it is processed. Figures are analysis of public information and directory records, not private company data or hands-on testing.
How often is the data updated?
Directory records are updated as Mindber's collection pipelines and source checks run, and each published statistic carries the date of the query behind it. Reports are snapshots: when a figure matters, check its date and the methodology version it was produced under, and look for a newer report before citing it.
Can I cite Mindber statistics?
Yes. Cite the specific report or page, the figure and its date, and link to the methodology so readers can see how it was produced. Directory statistics describe the products Mindber has indexed, so phrase claims accordingly, for example "in Mindber's directory" rather than "in the whole AI market".
What does an inactive AI tool mean in Mindber's data?
It means the product's public signals, such as its website, DNS, pricing page, social accounts, hiring and traffic estimates, show reduced or absent activity over a rolling window. It is an evidence-based flag, not proof that the company has closed. The Inactive Tools Archive shows the signals behind each listing, and owners can request a correction.
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