As computer vision has almost become a “commodity” technology, startups in this space could no longer build a high market barrier with the fundamental technology (or a bit improvement in algorithm/performance). Instead, choosing the right application and going to the market fast will become the advantages of startups in this space. Therefore, market size and competition level become the first-to-ask question when investors evaluate opportunities based on computer vision technologies.
Purpose: The purpose of this research is to identify the applications of the computer vision technology for which the specific market has not become saturated while is still big enough.
Assumptions:
- The fundamental computer vision technology is almost a commodity. Therefore, it will be difficult for companies to use a value-based pricing model. Instead, companies would more likely use a market pricing model – namely competition-based pricing model.
- Most of the computer vision companies will be serving businesses instead of individuals directly. Therefore, it is more likely that companies will charge on an account basis instead of a usage basis. However, it is not always the case, and there can be some tiered pricing for different accounts based on usage.
- PitchBook has covered most of the relevant startups.
Please see the Google Doc or PDF Version here.
