THE SHORT ANSWER
The strongest result is a change in the respondent—not just a change in taste.
Compared with Daggerr's published 2022 figures, the 2026 respondents were much more likely to call themselves knife enthusiasts, to have bought a knife recently and to describe a knife as a tool. They also placed far more weight on the combination of design and hand feel.
That does not prove that the entire knife market moved by the same amount. The survey was voluntary and circulated within a knife-focused community. It is best read as a clear portrait of an engaged audience, and as a set of questions for brands and buyers—not as a census of all knife owners.
In 2026, 41.9% chose by design plus hand feel. Only 12.2% chose practicality alone. For this audience, function is increasingly judged through the whole object.
SAMPLE & METHOD
589 responses give a useful community signal, with an important boundary.
Daggerr repeated the questions used in its 2022 survey so the two snapshots could be compared. The 2026 survey received 589 responses; the earlier published survey had approximately 300–400 respondents. All required 2026 fields were complete, with missing answers only where respondents could name a second or third brand. One pair of answers was identical but retained because no respondent identifier existed to confirm a duplicate.
| Method point | 2026 record | How to read it |
|---|---|---|
| Sample | 589 voluntary respondents from Daggerr's knife-focused audience | Strong for describing respondents; not representative of the general public |
| Comparison | Same questions as 2022; old sample approximately 300–400 | Large shifts are informative; small differences need caution |
| Maximum sampling-error reference | About ±4.0 percentage points at 95% confidence under random-sample assumptions | A mathematical reference only—not a full error bound for an opt-in survey |
| Cleaning | Obvious unit errors and extreme invalid values were handled for numerical averages | Medians are more informative where collections and budgets are skewed |
Pew Research Center notes that a conventional probability-sample margin of error cannot simply be transferred to an opt-in sample. Self-selection, coverage and response behavior can matter more than the theoretical ±4.0-point figure.
2022 TO 2026
Eight shifts that change the picture of the audience.
| Survey signal | 2022 | 2026 | Change | Practical reading |
|---|---|---|---|---|
| See a knife as a tool | 37% | 67.2% | +30.2 pp | Utility became the dominant stated meaning. |
| Identify as a knife enthusiast | 37% | 82.7% | +45.7 pp | The 2026 respondents were far more involved in the hobby. |
| Bought a knife in the past year | 75% | 97.3% | +22.3 pp | The newer sample was exceptionally purchase-active. |
| Choose by design plus hand feel | 11% | 41.9% | +30.9 pp | Visual appeal alone gave way to a combined physical judgment. |
| Prefer a drop-point blade | 19% | 43.3% | +24.3 pp | Drop point led the 2026 blade-shape responses. |
| Say lock type does not matter | 10% | 40.6% | +30.6 pp | Many respondents appear to judge the complete knife before the lock label. |
| Prefer a black blade | 64% | 31.4% | −32.6 pp | Bright or uncoated finishes gained ground in this audience. |
| Own duplicate examples | 60% | 37.5% | −22.5 pp | Variety may have become more important than repetition. |
Percentages reproduce the published survey analysis. Percentage-point changes compare shares directly. The exact 2022 respondent count is unavailable, and some 2022 categories sum above 100%, so the table should be read directionally rather than as a perfectly controlled longitudinal study.
THE BUYING DECISION
Design did not replace function. It became harder to separate from it.
In 2022, 57% said a knife was chosen because it looked appealing, while only 11% selected the combination of design and how the knife felt in hand. In 2026, the visual-only answer fell to 38.2%, while design plus hand feel rose to 41.9%. Practicality alone remained comparatively stable, moving from 16% to 12.2%—a difference the analysis did not confirm as statistically distinct.
The useful interpretation is not that practical performance stopped mattering. A handle, opening method, balance point and lock are experienced together. Respondents may increasingly be rejecting the split between a knife that looks right and one that feels right. For product teams, a striking render is not enough; for buyers, specifications cannot replace handling the actual format when that is possible.
Blade shape shows a clearer preference. Drop point rose from 19% to 43.3%, while tanto fell from 28% to 18.8%. Yet lock preferences moved in the opposite direction from a rigid specification hierarchy: 40.6% said lock type did not matter, up from 10%. This can mean flexibility, but it should not be read as indifference to safe construction. It may simply mean that no lock label wins before the complete knife is considered.
THE COLLECTOR PROFILE
A larger collection does not necessarily mean more repetition.
The average reported collection grew from 12 knives in 2022 to 43.4 in 2026. The 2026 median was 26, which is a better description of a typical response because a small number of very large collections pull the average upward. At the same time, the share reporting duplicate examples fell from 60% to 37.5%.
Together, those results suggest breadth: more knives, but less emphasis on owning the same model repeatedly. The survey cannot tell us whether respondents were exploring brands, steels, locks, blade shapes or limited editions, and it should not be used to claim a single cause. It does show why a collection is poorly described by size alone. Variety and the reasons for choosing each object matter.
Material preferences also widened. M390 rose from 9% to 24.4%, titanium from 13% to 23.3% and micarta from 20% to 26.8%. D2 fell from 32% to 21.4%, but remained a meaningful response. Steel names should not be converted into a performance ranking: geometry, heat treatment, finish, maintenance and price still decide what the material means in use.
HONEST LIMITATIONS
The survey measures a community snapshot—not the whole market.
Three cautions matter. First, people chose whether to respond. Pew's research on online opt-in samples shows why self-selection can produce materially different error from probability-based panels. Second, the audience composition changed sharply: when 82.7% of the newer sample calls itself a knife enthusiast, a change in answers can reflect who responded as much as a change in preferences.
Third, the 2022 source is an infographic rather than a retained respondent-level dataset. Its exact sample size is uncertain, percentages are rounded, and the published lock categories total 110% while steel categories total 108%. That may reflect multiple selection or an old layout error. The original figures were preserved instead of silently “correcting” them.
For these reasons, differences under roughly five or six percentage points deserve restraint. Large changes of ten points or more are harder to dismiss as rounding or ordinary sample variation, but even they should be phrased as changes among respondents—not proof about every enthusiast, every country or the total knife market.
BUYER FIT & HONEST TRADE-OFFS
Use the results to ask better questions, not to manufacture a universal winner.
- For a first-time buyer…start with the real task, then handle more than one shape and size. The survey supports the importance of hand feel; it does not choose a knife for you.
- For an experienced collector…look at what a new knife adds—geometry, mechanism, material, history or design—rather than collection count alone.
- For a knife brand…test visual ideas in the hand. The strongest 2026 choice signal joins design and physical experience.
- For a retailer…do not reduce the conversation to steel and lock names. Ask how the customer carries, cuts and maintains a knife.
- For anyone quoting the survey…say “Daggerr community respondents,” include the sample of 589 and keep the voluntary-sample limitation beside the number.
SOURCE TRAIL
The survey record and the methodology used to interpret it.
Daggerr's 2026 questionnaire, cleaned response analysis and published results provide the figures. Independent survey-methodology sources explain why an opt-in community sample must not be treated like a random population survey.