Our first article in this series used ClickAnalytic's published data to show where YouTube creators are concentrated. Music and Gaming dominated the supply side. But that data said nothing about where the views go.
This article adds the demand side. We collected original data using the YouTube Data API v3 — searching for up to 150 channels per niche, retrieving 90 days of videos from each channel's uploads playlist, and summing views on that content. The result is a directional comparison of creator supply against viewer demand across 10 niches.
- Search-based sampling is not random. We searched YouTube for channels matching each niche query. YouTube's search surfaces channels it already ranks highly, so established accounts are likely over-represented in our sample.
- Videos are retrieved from each channel's uploads playlist. Views counted are on content published in the 90-day window only — not lifetime views.
- Two niches returned significantly fewer qualifying channels than targeted: Music (38 met the 1,000-subscriber threshold from 150 searched) and Senior health (34 of 150). Results for these niches should be read with lower confidence.
- 506 active channels. 977 million sampled views. This is a directional signal across a specific search-based sample — not a platform-wide census.
The opportunity index
For each niche we calculate an opportunity index (OI): the ratio of a niche's share of total sampled views to its share of total active channels.
Chart 1: Average 90-day views per active channel
The first signal in the data is the average views per active channel on content published in the 90-day window. Gaming channels in our sample averaged 5.9 million views. True crime averaged 3.0 million. Every other niche sits below 700,000.
Gaming's 5.9M channel average reflects large established accounts. The search query “gaming gameplay youtube” surfaces channels YouTube already ranks for competitive gaming terms — meaning our sample is skewed toward high-subscriber accounts. This inflates the gaming average and should not be read as a typical result for a new gaming creator.
True crime's 3.0 million average is more meaningful. True crime had 76 active channels in our sample — the second largest group after Gaming — so the average is less vulnerable to single large-channel distortion. Sampled true crime channels published an average of 17 videos in the 90-day window and generated 3 million views on that content.
Chart 2: Creator share vs view share
This chart shows the imbalance directly. For Gaming and True crime, the blue bar (view share) is taller than the grey bar (creator share). For the remaining eight niches, the grey bar exceeds the blue — meaning creator supply outpaces view demand in our sample.
The gap between True crime and the rest is notable. True crime accounts for 15.0% of active channels in our sample but 23.1% of total views — a positive gap of 8.1 percentage points. No other niche outside Gaming shows a positive gap. Personal finance, the next closest, accounts for 9.7% of channels and 3.4% of views — a negative gap of 6.3 points.
Chart 3: Opportunity index — all 10 niches
The opportunity index makes the supply-demand comparison explicit. An index above 1.0 means views outpace creators. Below 1.0 means creators outpace views.
Two niches are above 1.0. Eight are below it, with the cluster between 0.21 and 0.35 (Personal finance, Homesteading, Korean drama, English learning, Senior health) and a lower group at 0.16 and below (Literary analysis, Music, Soundscapes/sleep).
The full data table
| Niche | Active ch. | 90d views | Avg/channel | Creator% | View% | OI |
|---|---|---|---|---|---|---|
| Gaming | 101 | 596.4M | 5.9M | 20% | 61% | 3.05 |
| True crime | 76 | 225.9M | 3.0M | 15% | 23.1% | 1.54 |
| Personal finance | 49 | 33.0M | 673K | 9.7% | 3.4% | 0.35 |
| Homesteading | 61 | 35.7M | 586K | 12.1% | 3.7% | 0.31 |
| Korean drama recaps | 60 | 31.6M | 527K | 11.9% | 3.2% | 0.27 |
| English learning | 63 | 29.2M | 463K | 12.5% | 3% | 0.24 |
| Senior health | 24 | 9.7M | 406K | 4.7% | 1% | 0.21 |
| Literary analysis | 23 | 6.9M | 301K | 4.5% | 0.7% | 0.16 |
| Music | 26 | 7.3M | 282K | 5.1% | 0.8% | 0.16 |
| Soundscapes/sleep | 23 | 1.5M | 67K | 4.5% | 0.2% | 0.04 |
Collection window: April 15 – July 14, 2026. Minimum 1,000 subscribers. Active = at least one video published in the window. Music (38 qualifying channels) and Senior health (34) returned fewer channels than targeted — results for those niches carry less weight. OI rounded to two decimal places.
What this does and does not tell us
The clearest finding from this sample is that view demand within YouTube is concentrated. Gaming and True crime together account for 35% of active channels in our sample and 84% of total sampled views.
True crime is the most useful finding for creators considering niche selection. With 76 active channels and an OI of 1.54, it is the only niche in this study where viewer demand measurably exceeds creator supply — at least among channels our search surfaced. It also has a meaningful average (3.0M views per channel in 90 days) based on a large enough sample to carry some weight.
What this data cannot show:
- Whether a niche is easy or hard to enter. An OI above 1.0 means viewer demand exceeds creator supply in this sample. It does not mean the audience is accessible to new creators. True crime may be demand-heavy because a small number of large channels absorb most of those views.
- Audience size for niches with lower OIs. English learning, homesteading and Korean drama all show creator-supply surpluses in our sample. That reflects the relative balance in this 506-channel dataset — not a claim that those niches lack audiences.
- What Music and Soundscapes/sleep actually look like. Our search queries for those niches returned fewer qualifying channels than the others. The results for Music (OI 0.16) and Soundscapes/sleep (OI 0.04) may not reflect those niches accurately.
- Trends over time. This is a single 90-day snapshot ending July 14, 2026. Niche dynamics shift. A niche growing fast today may look different in six months.
What it means for creators
Niche selection is one variable. It sets the ceiling on available audience. But the data shows that ceiling differs enormously between niches — and that most niches, in this sample, have more active creators than views to go around.
In that environment, the channels that capture a disproportionate share of available views are those that the algorithm can clearly understand and accurately distribute. That comes down to metadata — how clearly your title communicates the topic, how well your description reinforces it, whether your tags are specific enough to send a signal rather than noise.
Choosing the right niche is the first step. Making sure the algorithm can read your content is what comes next.
Check your metadata before the algorithm decides for you
Meteorra checks your title, description and topic alignment before you upload. It flags what is weak while you can still fix it — not after the video has already underperformed.
Analyse my video before I upload →Part 1 of this series
Where YouTube Creators Are Concentrated in 2026 — And the Smaller Niches Growing Fast →Methodology
Collection date: July 14, 2026. Collection window: April 15 – July 14, 2026 (90 days).
API calls: search.list (channel discovery, 100 units/call), channels.list (subscriber count and uploads playlist ID, 1 unit/batch of 50), playlistItems.list (video IDs from uploads playlist, 1 unit/page), videos.list (view counts, 1 unit/batch of 50). Total estimated quota usage: ~6,000 of the 10,000 free daily units.
Channel selection: Up to 150 channels returned per niche search query. Channels with fewer than 1,000 subscribers excluded. Active = at least one video published in the 90-day window.
Opportunity index: (niche view share %) ÷ (niche creator share %), calculated across 506 active channels and 977,368,108 total sampled views.
Sampling bias: search.list returns channels YouTube's algorithm already surfaces for the query. This favours established channels over newer ones. View totals and averages are therefore likely higher than a random sample of all channels in each niche would produce.
Meteorra AI is a pre-publish optimization tool for YouTube, TikTok and Instagram Reels creators. Built by a solo founder, launched in 2026.