Five years. 199 Business Intelligence products. Every quarter analyzed. This page tells you whether the category is worth entering, worth investing in, or worth avoiding.
Five years of Business Intelligence launch data. Volume, engagement, and the products that stood out.
Five years. 199 Business Intelligence products. Every quarter analyzed. This page tells you whether the category is worth entering, worth investing in, or worth avoiding.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 13 | 102 | Livedocs |
| Q1 2025 | 18 | 137 | Chatbase |
| Q2 2025 | 14 | 123 | Knowledge |
| Q3 2025 | 18 | 81 | Clearitty |
| Q4 2025 | 9 | 45 | Grain |
| Q1 2024 | 14 | 131 | Tablize |
| Q2 2024 | 9 | 106 | Tabula |
| Q3 2024 | 10 | 148 | Competitor Research |
| Q4 2024 | 12 | 197 | fieldmobi.ai |
| Q1 2023 | 7 | 140 | Two Minute Reports |
| Q2 2023 | 15 | 118 | Mokkup |
| Q3 2023 | 22 | 141 | B2B Rocket |
| Q4 2023 | 26 | 185 | Dashboards by Equals |
| Q1 2022 | 1 | 12 | CalendarCrush |
| Q2 2022 | 2 | 252 | Better Sheets |
| Q3 2022 | 4 | 163 | The Companies API |
The Business Intelligence category has been accelerating over the past 5 years of tracked data. Total launches went from 12 in 2022 to 13 in 2026.
Average engagement ratio across all Business Intelligence launches: 0.34. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
Business Intelligence peaked in 2023 with 70 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.
Average engagement per product has risen from 0.27 in 2022 to 0.40 in 2026. That upward trend means the community is spending more time with each new launch. Either the products are getting better, or the audience is getting more selective. Probably both.
The highest-performing quarter was Q2 2022, with an average interest score of 252 across 2 launches. Better Sheets led that quarter.
199 B2B launches (100%) vs 0 B2C (0%) across the full Business Intelligence dataset. Business Intelligence is heavily B2B. The products here target teams, companies, and professional workflows.
2022: 12 launches. Average interest: 145. Average engagement: 0.27. Top launch: Better Sheets (421 interest).
2023: 70 launches (+483% vs 2022). Average interest: 152. Average engagement: 0.27. Top launch: Dashboards by Equals (787 interest).
2024: 45 launches (-36% vs 2023). Average interest: 148. Average engagement: 0.41. Top launch: Competitor Research (739 interest).
2025: 59 launches (+31% vs 2024). Average interest: 103. Average engagement: 0.37. Top launch: Chatbase (992 interest).
2026: 13 launches (-78% vs 2025). Average interest: 102. Average engagement: 0.40. Top launch: Livedocs (492 interest).
Three common reasons. The market consolidated around winners. The technology matured and stopped generating new startups. Or builder attention shifted to adjacent categories. Usually it's a combination.
Volume without engagement is saturation. Engagement without volume is opportunity. Check which one you're looking at.
Sum of all interest scores in the quarter divided by number of products. Simple average. We don't weight by category or product age.
Depends on what's declining. If volume drops but engagement rises, the market is maturing. That's often good for existing players. If both drop, the category may be dying. The quarterly breakdown on each page tells you which pattern you're seeing.
At least three. Two data points is a line, not a trend. We have five years of data for most categories, which is enough to distinguish real shifts from noise.
Current year launches compared to the same period last year. Positive means more products launching. Negative means the category cooled. Neither is inherently good or bad. A mature category with fewer but better launches is often healthier than one flooding the market with clones.
Launch volume drops but engagement per product rises. Fewer builders entering, but the ones that do find a more receptive audience. That's an opportunity signal. We flag it when we see it.