Method
What these e-reader statistics measure, and what they do not
Most e-reader statistics you will find online are shipment estimates with no traceable origin, copied between roundups until the number acquires the confidence of a fact. We are not going to add to that pile. This page reports one thing we can actually observe and verify: what people type into search engines when they are shopping for an e-reader, measured across 16 months of our own Search Console data and cross-checked against Google’s own advertiser volume figures.
That boundary matters enough to state twice. We do not know how many Kindles Amazon sold last quarter, and neither does anyone publishing a number for it outside Amazon. What search data can tell you is arguably more useful for anyone writing about this category: it shows what buyers are uncertain about, which products they weigh against each other, and when in the year they start looking.
Two datasets sit behind everything below, and they do different jobs. Anything about how people phrase a query comes from our Search Console corpus: 11,471 distinct e-reader and e-ink queries between 24 March 2025 and 17 July 2026, filtered to this category and stripped of unrelated topics elsewhere on the site. Anything about how large an audience is comes from Google Ads volume data instead, because that is market-level and independent of whatever we happen to rank for.
One caution about our own numbers, since we would rather you hear it from us. Our impression share by brand reflects the posts we have written, not the market. We rank on more reMarkable queries than Kobo queries because we publish more about reMarkable. So brand impression share is not in this report as a market statistic. Where audience size appears below, it comes from Google’s advertiser data, not from us.
Audience size
How large each e-reader audience actually is
Average monthly United States search volume for each device’s main term, from Google’s advertiser data. Google states plainly that these figures are “averaged over a 12-month period” and that “your search volume statistics are rounded”, which is why they land on round numbers and why you should read them as bands rather than counts.
| Search term | Avg monthly searches | What the device is for | Note |
|---|---|---|---|
| Kindle Paperwhite | 165,000 | Reading only | Larger than every writing tablet combined |
| Kobo | 90,500 | Reading, some writing | Brand term, so it mixes models |
| Kindle Scribe | 49,500 | Reading and notes | The crossover device |
| Boox | 49,500 | Android e-ink, many models | Brand term; Onyx Boox scores the same |
| reMarkable Paper Pro | 40,500 | Notes only | Outdraws its own predecessor |
| reMarkable 2 | 33,100 | Notes only | Still substantial years after launch |
| Kindle Colorsoft | 27,100 | Reading, colour | Newest term in the set |
| Supernote | 18,100 | Notes only | Small audience, high engagement |
The shape here is worth sitting with. A single reading device, the Kindle Paperwhite, carries more monthly search demand than the Kindle Scribe, reMarkable Paper Pro, reMarkable 2 and Supernote put together. The writing-tablet category that generates most of the enthusiast coverage is a minority of the actual e-reader audience. If you are choosing between the two families rather than within one, our best e-reader guide covers the reading side and the e-ink tablet roundup covers the writing side.
Intent
What e-reader shoppers actually search for
Here is where the e-reader statistics stop confirming what you would guess. We sorted all 372,048 impressions into intent buckets by the language of the query itself. Reviews, the format most of this industry publishes, account for 2.6% of demand. Comparison and alternative-seeking together account for 40.5%.
Share of e-reader search demand by intent (372,048 impressions)
The largest slice, brand and model lookups, is the residual: queries like “Kindle Scribe” or “reMarkable Paper Pro specs” that name a thing without expressing what the person wants from it. Set that aside and look only at the queries carrying a clear intent, and the picture sharpens considerably. Among those, comparison and alternative-seeking make up 72%.
Alternative-seeking deserves particular attention, because it is the most concentrated behaviour in the category. Just 411 distinct queries carry 69,697 impressions, an average of about 170 impressions each, against roughly 12 for a review query. These are searches like “reMarkable alternative” or “cheaper Kindle Scribe alternative”, and they also hold the strongest average position of any bucket we measured, at 6.1. Fewer phrasings, far more people using each one.
There is a second pattern hiding underneath the intent mix, and it is the one we would most want a competitor to miss. The buckets carrying the most demand are also the ones where a specialist site ranks best. Across our corpus, alternative-seeking queries average position 6.1 and head-to-head comparisons 7.7, while reviews sit at 10.6 and plain brand lookups at 10.5. Those last two are where Amazon, the manufacturers and the large technology publishers are strongest, and it shows.
Read that as a statement about our own position rather than a universal law, because average position reflects the pages a site has actually published. Still, the direction is consistent across every bucket and it points somewhere useful: the comparative middle of this category is both the largest source of demand and the least defended. A site with genuine depth on two devices can win the query that weighs them against each other long before it can win the query that names just one.
Comparison
The comparison habit: e-readers get shopped in pairs
Our corpus holds 1,483 distinct head-to-head queries carrying 81,225 impressions. These are the six largest as individual phrasings.
Largest single comparison queries (impressions, 16 months)
Rows one and three are the same matchup searched in opposite directions, and together they carry 6,444 impressions. That bidirectional pattern repeats throughout the data: “Boox vs reMarkable” at 2,261 has a mirror at 1,362. Whichever device a person encountered first becomes the subject of the query, and the other becomes the object. It is the clearest signal in the whole dataset that this category is shopped as a set of duels rather than a ranked list, which is why we cover the biggest matchups as dedicated pieces like Kindle Scribe versus reMarkable 2 and Boox versus reMarkable.
The e-reader market does not research products, it researches decisions.Intent analysis, 372,048 impressions
Seasonality
When people shop for e-readers, and when they shop for planners
This is the one part of these e-reader statistics we most nearly got wrong, so the method is worth showing. Our first attempt measured seasonality using our own Search Console impressions per month. Every device term appeared to peak in the most recent month, some by 700%. That was not seasonality, it was our own site growing across the window. Impressions from a single growing site cannot measure a market, and the chart would have been a fabrication built out of real numbers.
The chart below uses Google’s own monthly advertiser volume history instead, which is market-level and indifferent to how we are doing. Each series is indexed against its own 12-month average, where 100 is that term’s normal month.
Seasonal demand index (100 = average month)
E-reader devices behave exactly like gifts. The composite index peaks in December at 134 and bottoms out in June at 81, a swing of 1.65x between the best and worst months of the year. November is already at 121. Anyone timing a device launch, a review, or a buying guide against this curve should be live by early October, not mid-November.
The planner curve is a different animal entirely. Digital planner demand peaks three times, in January, August and December, all at an index of 152, and collapses to 55 from April through June. It follows the calendar of fresh starts rather than the calendar of gift-giving, which is why planner content and device content should never share a publishing schedule. The accessory does not sell when the hardware does.
Colour
Colour e-ink is still an availability question
Queries mentioning colour account for 45,378 impressions across 1,311 distinct phrasings, or 12.2% of category demand. What is striking is not the size but the composition. The largest colour queries in our corpus are not “is colour e-ink any good” or “colour e-ink review”. They are release dates and regional availability: when a colour device is coming, and whether it is coming to the United Kingdom, Australia or Europe.
That tells you the segment is still in its anticipation phase rather than its evaluation phase. Buyers have decided they want colour and are waiting to be allowed to buy it, which is a very different content need from the comparison-heavy pattern that governs the rest of the category. We keep a running explainer on where the technology actually stands in our colour e-ink guide, and we deliberately report on what people are asking rather than predicting ship dates we cannot verify.
Long tail
The long tail is smaller than the folklore says
Search marketing folklore holds that the long tail carries most of the demand and that head terms are a distraction. In this category the e-reader statistics say the opposite, clearly enough that it should change how anyone plans coverage here.
Of our 11,471 distinct queries, 7,983 of them, or 69.6%, drew ten impressions or fewer across the entire 16 months. Those two thirds of the vocabulary account for 6.3% of demand. Meanwhile the top 1,000 queries carry 76.7%, the top 100 carry 38.2%, and the top ten alone carry 11.6%. The category has a heavy head and a very thin tail.
One more modifier worth reporting, because assumptions about it run strong: “free” appears in 96 queries carrying 7,255 impressions, which is 2.0% of category demand. Template and file searches as a whole are 7.0%. The people looking for files are mostly not specifying that they want them free.
AI answers
What AI assistants cite when asked about e-readers
Search-based e-reader statistics only capture part of the picture now, because a growing share of buying advice never reaches a results page at all: an assistant answers first. We measured which sources those answers draw on across nine e-reader and productivity topics, and one result held on every single one: Reddit is the most-cited source on all nine, usually by a wide margin. On the e-ink tablet topic it was cited 217 times against TechRadar’s 91.
For anyone writing in this category, that is the single most consequential structural fact available right now. Assistants weight lived community discussion above editorial roundups when the question is which device to buy. The full breakdown, including which publications win which topics and how AI search volume compares across e-ink subjects, is in our companion study on which sources ChatGPT cites for e-reader advice.
Reuse
How to cite and reuse these e-reader statistics
You are welcome to quote any figure on this page, reproduce the charts, or build on the analysis, for commercial work as well as editorial. We ask for one thing in return, which is a link back to this page so readers can check the method for themselves. No permission request is necessary and no email is needed.
If a citation line is useful: Templacity, “E-Reader Statistics 2026”, analysis of 11,471 search queries, July 2026. Where a figure came from Google Ads volume rather than our own corpus, we have said so in the surrounding text, and we would appreciate that distinction surviving into any write-up, because the two datasets answer different questions.
We refresh this analysis quarterly. If you are working on something where a specific cut would help, whether that is a single device, a longer window, or the raw intent classification, say so in the comments and we will pull it and publish it here rather than sending a private file, so that everyone gets the same numbers.
FAQ
Common questions, answered briefly
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