Searching for untapped consumer niches assumes there are many. We counted 2,671 consumer SaaS companies to find out how many there actually are.
The phrasing people actually search is telling: untapped B2C SaaS niches, low competition, high demand. It carries an assumption worth testing, which is that the consumer software market still has quiet corners in it.
We can test it by counting. Across the Stripe Index, our snapshot of 30,322 companies taking payments, 2,671 are classified as B2C SaaS. Measuring how many of those are one-person products gives a direct read on how contested each consumer category is.
The answer is not encouraging, and it is more useful than another list of consumer app ideas. B2C SaaS is the most crowded business model for solo builders in the entire index. Here is exactly how crowded, where the few remaining openings are, and what you should expect to earn if you go anyway.
Start with the comparison that frames everything else. Sorted by solo-builder density across business models with 100 or more companies:
| Business model | Companies | Micro SaaS | Share | Avg buildability |
|---|---|---|---|---|
| b2c-saas | 2,671 | 911 | 34.1% | 5.38 |
| b2b-saas | 3,876 | 623 | 16.1% | 4.75 |
| api-infra | 228 | 26 | 11.4% | 4.32 |
| creator | 1,145 | 56 | 4.9% | 5.88 |
| ecommerce | 4,511 | 47 | 1.0% | 4.42 |
| All companies (baseline) | 30,322 | 2,012 | 6.6% | — |
B2C SaaS has fewer companies than B2B SaaS, 2,671 against 3,876, and 46% more solo builders, 911 against 623. Fewer buyers, more competitors. That is the structural problem with consumer software for a one-person business, stated as plainly as the data allows.
The buildability column explains the mechanism. B2C SaaS averages 5.38 against B2B’s 4.75. Consumer products are easier to ship because they skip procurement, integrations, SSO, audit trails and support SLAs. Low barriers admit everyone, and everyone showed up.
There is a second reading of the same table. Consumer-targeted companies are 15,533, or 51.2% of the index, but only 5.7% of them are micro SaaS. The gap between that 5.7% and the 34.1% for B2C SaaS specifically is the point: consumers buy plenty of things, but the software products they buy at scale are mostly not built by one person. We broke that segment picture down in who micro SaaS actually sells to.
| Source | What it is | Volume | Limitation |
|---|---|---|---|
| B2C SaaS population | Companies classified business_model = b2c-saas | 2,671 | A directory snapshot, not a census; the b2c-saas label and the consumer target-customer label are separate classifications and do not fully overlap |
| Category | AI classification, operational taxonomy | 2,671 | Categories with fewer than 30 B2C companies excluded as too thin to read |
| Micro SaaS flag | AI classification of one-person-scale products | 2,671 | Definitional edge cases; read the distribution, never one label |
| Buildability | AI 1-10 feasibility rating | 2,671 | Apparent difficulty from a public page, not measured engineering effort |
| Median MRR | Revenue-verified products, categories with 25+ reporting | 8,699 set | Different taxonomy, so revenue mapping is directional; the set skews indie, so medians run low against the whole market |
One caveat matters more here than on the B2B side. A high solo-builder share is evidence of crowding, not of failure: it counts products that exist, not products that earn. That is why the revenue section below is not optional reading.
These consumer categories sit far above even the 34.1% B2C average. Entering one is not finding a niche, it is joining a queue.
| Category | B2C companies | Micro SaaS | Share | Buildability |
|---|---|---|---|---|
| expense-management | 49 | 29 | 59.2% | 6.1 |
| ai-tools | 438 | 223 | 50.9% | 5.7 |
| project-management | 43 | 20 | 46.5% | 6.4 |
| invoicing-billing | 41 | 17 | 41.5% | 5.4 |
| fintech-banking | 99 | 39 | 39.4% | 5.5 |
| social-media-management | 56 | 19 | 33.9% | 5.3 |
| data-analytics | 77 | 26 | 33.8% | 5.4 |
Consumer expense management is 59.2% solo-built, the highest density of any category in this research, and it carries a buildability score of 6.1. Budgeting apps are the canonical weekend build, and the count reflects it.
Consumer AI tools is the one that matters most by volume: 438 companies, 223 of them one-person products. Compare that with B2B AI tools at 309 companies and 21.0% density. The same technology, aimed at consumers, is two and a half times as crowded.
The pattern repeats without exception: every category above 39% density also scores 5.4 or higher on buildability. In consumer software, easy to build and already built are the same statement.
Now the answer to the search that brought you here. These are the consumer categories below the 34.1% B2C average, ordered by how open they are.
| Category | B2C companies | Micro SaaS | Share | Buildability |
|---|---|---|---|---|
| courses-coaching | 158 | 22 | 13.9% | 5.3 |
| subscription-management | 227 | 47 | 20.7% | 5.0 |
| membership-communities | 109 | 25 | 22.9% | 5.3 |
| fitness-wellness | 94 | 22 | 23.4% | 4.5 |
| health-medical | 112 | 28 | 25.0% | 4.5 |
| education-elearning | 342 | 97 | 28.4% | 5.4 |
| travel-hospitality | 52 | 15 | 28.8% | 4.9 |
Courses and coaching is the only consumer category below the average B2B density, at 13.9% across 158 companies. Read the reason in the adjacent numbers rather than as good news: the category is service-heavy, so much of the value sits in the human delivering it, which is precisely what keeps pure software builders out.
Health and medical at 25.0% and fitness and wellness at 23.4% are the two categories where the low density comes from genuine difficulty rather than from service mix. Both score 4.5 on buildability, the lowest in consumer SaaS, and both carry regulatory and data-sensitivity burdens. Those are the honest opportunities on this table: hard, and therefore still open.
Note what is absent. There is no large consumer category sitting at single-digit density the way CRM does at 5.9% on the B2B side. The genuinely untapped consumer niche, in the sense the search implies, does not appear in a population of 2,671 companies.
Density only matters against the prize. Cross-referenced against revenue-verified products, consumer-leaning categories occupy the bottom of the table.
| Category | Lean | Products reporting | Median MRR | p90 MRR |
|---|---|---|---|---|
| Sales | B2B | 38 | $640 | $14,463 |
| Education | Mixed | 175 | $208 | $4,000 |
| Artificial Intelligence | Mixed | 941 | $203 | $5,005 |
| Games | B2C | 30 | $146 | $3,530 |
| Mobile Apps | B2C | 305 | $143 | $3,847 |
| Community | B2C | 28 | $142 | $4,846 |
| Content Creation | B2C | 172 | $123 | $4,378 |
| Health & Fitness | B2C | 190 | $101 | $2,453 |
| Entertainment | B2C | 51 | $76 | $3,083 |
| Productivity | Mixed | 223 | $46 | $639 |
Health and Fitness, the largest clearly-consumer category at 190 products reporting revenue, carries a median MRR of $101, about one sixth of the $640 median in Sales. Entertainment is $76. Productivity is $46 with a p90 of $639, meaning the category has almost no upside tail at all.
The p90 column is where the consumer case is least bad. Community pairs a $142 median with a $4,846 p90, and Mobile Apps a $143 median with $3,847. Consumer software is lottery-shaped: the typical product earns very little and a small number do genuinely well. That distribution rewards volume of attempts and punishes a single carefully planned bet.
It is also why pricing matters more here than anywhere. The median micro SaaS price point is $25, and consumers resist recurring charges hardest. At a $101 median MRR, that is roughly four paying customers.
None of this says do not build consumer software. It says the market will not do the work for you. B2C is the right call under specific conditions:
If none of those four apply to you, the numbers point at B2B: more companies taking payments, half the solo-builder density and six times the median revenue. For the cross-category version of this test, see SaaS ideas that make money.
Very few, and the least crowded are the least glamorous. Courses and coaching is the least saturated at 13.9%, then subscription management at 20.7%, membership communities at 22.9%, fitness and wellness at 23.4% and health and medical at 25.0%. All still sit above the 16.1% average B2B category.
It is the most crowded business model in the index for solo builders. 911 of 2,671 B2C SaaS companies, 34.1%, are one-person products, against 16.1% for B2B SaaS and a 6.6% baseline across all 30,322 companies.
Consumer expense management, at 59.2%. Consumer AI tools follow at 50.9%, consumer project management at 46.5%, invoicing at 41.5% and consumer fintech at 39.4%.
Less than B2B at the median. Health and Fitness sits at a $101 median MRR, Entertainment at $76 and Productivity at $46, against Sales at $640.
Consumers are the largest audience and the least willing to pay recurring fees. Consumer-targeted companies are 51.2% of the index, 15,533 companies, yet only 5.7% are micro SaaS.
On the numbers, B2B, unless you already own distribution in a consumer category. B2B SaaS has more companies taking payments, half the solo-builder density and maps to the highest-paying revenue categories. See the B2B breakdown.
It is the second most saturated consumer category. 223 of 438 consumer AI tool companies, 50.9%, are one-person builds, and it carries the highest buildability in consumer SaaS at 5.7.
The Stripe Index, an AI-enriched snapshot of 30,322 companies on Stripe’s public directory filtered to 2,671 B2C SaaS companies, plus our revenue-verified set of 8,699 products. Queried live September 21, 2026.
BigIdeasDB Research. (2026). B2C SaaS Ideas: Which Consumer Niches Are Actually Untapped. BigIdeasDB. Retrieved from https://bigideasdb.com/b2c-saas-ideas