Recently we published infographic on the current state of the image analysis industry. We do not pretend we’ve included everybody working on that matter but the infographic gives quite good idea what’s on the market and how different companies are approaching the problem of helping out people and businesses better use and organize their image collections.
It’s all about images and video. Over 1B picture are take each day thanks to relatively accessible DSLRs and unprofessional cameras, but mostly because 2/3 of smart mobile phone owners connect to internet on a daily basis, take pictures and share them quickly. Image centric services like Instagram, Pinterest, 500px, Flickr are widely used. The need for scalable solutions and technologies to ease that process of uploading, storing and organizing images is so viable.
There are several types of image automation technologies currently on the market:
All this currently available technologies can be integrated in various ways to better serve it’s customers. The most typical are:
Lets not forget that we need to make money. So far there are several billing options as listed below, but most of them depend directly or indirectly on the number of images processed and/or the processing hours spent and/or GBs of traffic
Here’s short list of some key players on the market (disclaimer: these are just the companies we are aware of. Your startup can also be doing something related to image analysis, we haven’t missed it on purpose. Leave a comment below and we will be more than happy to enlist you as well). The companies are listed in alphabetical order and not in order of significance:
by Chris Georgiev
In most cases when people hear we do image processing & analysis, they exclaim “Oh, I see, face detection! That’s cool!” Well, that’s not all we can do, definitely not the most sexiest of the currently available image technologies but by far the most popular. This is why we decided to do an overview of various image understanding technologies, what integration options are available, and what business models are currently used in the Image Software-as-a-Service world. What better way to convey such message than with an image
Feel free to spread the word and share the infographic! If you decide to share only the image and not the whole blog post, please link back to it somehow.
For your convenience, here are links to some of the key image SaaS players: Blitline, Chute, Cloudinary, Aviary, Recognize.im, Pixolution, Imagga, IQ Engines, Kooba, Lambda Labs, LTU technologies, Idee Inc.
If you know or you are part of some significant image SaaS provider that we’ve missed – please, comment here and we may include it in the next version of the infographic