The AI training data market: prices, deals, buyers and cases (snapshot of 2 November 2026)

14 tables about the market for AI training data, compiled by AIData.Broker (aidata.broker/datasets) from public sources, 3,957 rows in all. Every source row names the publication that stated it, the day it was read, the source link and, where one exists, a verbatim quote. The market-rates table and the per-unit figures are our own arithmetic on the price rows, and the negotiation-levers, rights-checks and licence-terms tables are our own reading of the public record, labelled as such. Nothing here is an offer, or legal, tax or investment advice. prices.csv (1470 rows): Every price observation for AI training data: the figure as published, the side of the market, the figure per normalised unit (our arithmetic on the published figure), dates, source and the source's own words. market-rates.csv (167 rows): Median, middle half and range per normalised unit for each kind of data and side of the market: our arithmetic on the price observations, with the ids behind each. negotiation-levers.csv (205 rows): Negotiation levers for holders and buyers of AI training data, each a quantified fact from the public record with sources, and our reading of what it means in a negotiation (not legal advice). supply.csv (305 rows): Quantified facts about the sources of AI training data, by kind of data: who holds it, how much exists and the channel it reaches buyers through. deals.csv (131 rows): Disclosed licences of data to AI companies since July 2023: licensor, licensee, content, use, term, value where disclosed, source. vendors.csv (150 rows): Companies that sell training data, RL environments, evaluations, expert work or annotation to AI developers: what each says it sells, the areas it works in and where its data comes from, each with the vendor's own words and the page they are on. cases.csv (128 rows): Lawsuits, rulings, settlements and regulatory actions over data used to train AI, with outcome and source. funding.csv (149 rows): Funding rounds, acquisitions and valuations of companies that buy, make or broker AI training data. financials.csv (307 rows): Revenue, run rates and ARR of data and expert-work vendors to AI labs, as published. market-log.csv (167 rows): Dated records of buyer programs, transactions, price ranges, referral terms and broker economics in company-data sales. software-terms.csv (18 rows): For each business system on file: whether the holder can export its data, what the vendor's API terms say about training AI on data pulled through them, and our reading of the rights risk of the content (not legal advice), with quotes. rights-checks.csv (27 rows): The questions a buyer's counsel asks before licensing data: good answers, red flags, the kinds of data each applies to and, on our reading (not legal advice), whether it blocks a sale, with sources. licence-terms.csv (15 rows): The terms a data licence for AI training turns on: what buyers ask, where a holder may want to stand (our reading, not legal advice), the public evidence and its gaps. companies.csv (718 rows): Every organisation the datasets refer to, by id, with kind and description. Snapshot of 2 November 2026. Current versions: aidata.broker/datasets. Licence: CC BY 4.0 for the compiled tables; quotes and figures remain the words and numbers of their original publishers.