Automateed data report

AI Self-Publishing Statistics: Automateed Data Through July 2026

This cumulative snapshot of Automateed platform records through July 15, 2026 contains 77,742 book projects, including country-attributed activity across 216 country or territory labels.

This page uses an expanded aggregate recorded on July 15. Automateed’s July 7 PRWeb release reported 77,636 projects; the later page snapshot contains 106 additional project records. The reconciliation is documented below and in the downloadable aggregate.

Expanded aggregate recorded: July 15, 2026Report reviewed: September 2, 2026
Book projects analyzed
77,742

Includes ebooks, novels, storybooks, and coloring books created on Automateed.

Projects with location data
72,897

Aggregated by IP geolocation where country-level data was available.

Location labels represented
216

IP geolocation returned 216 country or territory labels in the project snapshot.

Top format
90.0%

eBooks represented 90% of the recorded format snapshot.

Book formats

eBooks were the most selected Automateed project format

In this snapshot, ebook projects account for nine out of every ten recorded projects. The format field does not reveal whether a project was a guide, lead magnet, fiction title, commercial product, finished manuscript, or published book, so those uses should not be inferred from this chart alone.

eBooks
69,962 created
90.0%
Novels
4,227 created
5.4%
Storybooks
2,221 created
2.9%
Coloring Books
1,332 created
1.7%

Practical implications

What authors, researchers and publishing teams can use this data for

For authors and creator businesses

The format counts do not show which format is easiest, most profitable, or best for a particular reader. They show only which Automateed workflow was selected. Choose a format from the needs of the project, compare several structures, and validate the audience before committing to a long draft.

The country table describes attributed creation sessions; it does not identify a target market or prove demand in a country. Authors selling directly can review worldwide author payouts, while authors exporting to retailers should verify current territory, language, currency and metadata rules with the relevant store.

For journalists and researchers

Cite the dataset as an Automateed platform snapshot, include the collection label and avoid generalizing the proportions to the entire self-publishing market. The strongest supported statements are that the analyzed platform recorded 77,742 projects across the four listed formats, that 72,897 had country attribution spanning 216 country or territory labels, and that ebooks represented 90% of the format snapshot.

Link to this report for the expanded tables and to the PRWeb release for the public announcement. When comparing future editions, check the denominator and snapshot date rather than treating a larger cumulative total as growth over a fixed interval. We will update the page only when a new aggregate export has been reviewed and the methodology remains comparable.

Global adoption

Automateed project activity spans many markets

The top ten countries account for 43,675 creations in this country-level dataset, but the full footprint spans 216 recorded country or territory labels. The United States has the largest recorded count (12,701), followed by India (7,398), Brazil (5,448), Nigeria (3,746), and the United Kingdom (3,448).

RankCountryTotaleBooksNovelsStorybooksColoringShare
1USUnited States12,70110,9711,01741230117.42%
2INIndia7,3986,80029220610010.15%
3BRBrazil5,4485,1928499737.47%
4NGNigeria3,7463,4722065995.14%
5GBUnited Kingdom3,4482,993256133664.73%
6IDIndonesia2,9942,869754284.11%
7FRFrance2,1471,93314734332.95%
8DEGermany2,1211,83610587932.91%
9ZASouth Africa2,0351,82513650242.79%
10PKPakistan1,6371,4954967262.25%

Categorized title activity

The five most frequent labels in the categorized sample

Automateed’s public PRWeb release summarized AI-powered categorization across more than 63,000 ebook titles. The five largest reported labels were Self-Help & Personal Development, Health & Fitness, Business & Entrepreneurship, Religion & Spirituality, and Psychology & Mental Health.

Self-help, health, business, faith, and mental health titles led the categorized sample. These are classifications of project titles, not measures of reader demand, retailer sales, completion rates, or the commercial value of a niche.

View the source press release

Self-Help & Personal Development

The largest label in the categorized ebook-title sample.

10.8%

Health & Fitness

Health and fitness accounted for 9.6% of categorized ebook titles in the sample.

9.6%

Business & Entrepreneurship

Business and entrepreneurship accounted for 7.2% of categorized ebook titles.

7.2%

Religion & Spirituality

Religion and spirituality accounted for 6.1% of categorized ebook titles.

6.1%

Psychology & Mental Health

Psychology and mental health accounted for 5.5% of categorized ebook titles.

5.5%

Methodology

This report uses cumulative, aggregated, anonymized Automateed platform records through July 15, 2026. The book type dataset covers 77,742 created book projects. The geography dataset covers 72,897 book creations where country-level IP geolocation was available. The 216 labels can include territories represented by the geolocation provider and should not be read as 216 sovereign states.

The public PRWeb release published on July 7 used an earlier cumulative snapshot of 77,636 projects: 69,865 ebooks, 4,224 novels, 2,221 storybooks, and 1,326 coloring books. The expanded aggregate recorded for this page on July 15 contains 77,742 projects. The 106-record difference is 97 ebooks, 3 novels, no additional storybooks, and 6 coloring books. These two totals are adjacent cumulative snapshots, not conflicting estimates or a measured growth rate.

The topic analysis assigns one leading label to each of 63,552 ebook titles across 41 labels. Topic percentages therefore use 63,552 as their denominator. Geography uses the separate 72,897-project population with an available country-level result. Neither population should be treated as a sample of the entire publishing market.

Counts represent projects, not unique people. A project record is not proof of a completed or published book, and creation activity is not published sales volume. Individual user data, book content, private account details, and personally identifiable information are not included.

This is a fixed cumulative aggregate through July 15, 2026, not a live counter. We publish a new version only after validating a fresh aggregate export, so figures from different collection periods are not silently mixed together. This report page was last reviewed on September 2, 2026.

Audit files

The public JSON is a machine-readable copy of the aggregate values shown in this report; it is not a row-level user export. Its SHA-256 checksum is 5b9408b93d8f023f55933d469263de5fe798a2fc09b76de237b6543ff1d78b8f.

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