In this post we examine the different components of the artificial intelligence (AI) ecosystem. We will illustrate what the categories of innovation are and how they compare with one another.
Let’s start off by looking at the Sector Map. There are 2,649 AI startups across 13 categories through Q3 2019. They have cumulatively raised $75B. The Sector Map highlights the number of companies in each category. It also shows a random sampling of companies within the category.
We see that Machine Learning Applications is the largest category with 1,008 companies. These companies utilize self-learning algorithms to optimize vertically-specific business operations such as detecting banking fraud or identifying relevant sales leads. Some example companies include Afiniti, SparkCognition, and Sumo Logic.
Now let’s look at the Category Funding Rank Chart. This graph illustrates how the relative category funding ranks have evolved over time. Please note that a category’s ranking in each year indicates its placement based on the funding made into that category in that year only, without including any cumulative funding from the previous years.
As you can see, while some categories have maintained stable funding ranks, others have shifted around considerably. This chart gives a sense of where the dollars are flowing within the AI ecosystem over the past few years.
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