Last quarter we observed that the artificial intelligence sector is maturing. This quarter we are conducting a deeper analysis on our AI research platform to examine funding by category. Our analysis shows two important observations:
We’ll explain these observations with some graphics and discussions below.
To start off, let’s scrutinize the AI funding by category in Q2.
The above graphic shows that both Machine Learning Platforms and Computer Vision Platforms lead the sector in Q2 funding with $1.5B each. Machine Learning Applications and Smart Robots follow in the second and third places with $1.4B and $1B, respectively. It’s also noteworthy that there is a steep drop-off after Smart Robots, as its funding is 3.4 times higher than the next category, Speech Recognition.
So we’ve witnessed how different AI categories stack up in their Q2 funding. But how do these categories’ funding compare with each other historically? Let’s investigate that in the next section.
The graph below shows the all-time funding for different AI categories. The quarterly funding and growth rates of these categories are also highlighted.
The bar graph indicates Machine Learning Applications completely dominates the sector with $17B in total funding. This is more than twice the funding in the next category, Machine Learning Platforms.
In addition, the line graph demonstrates that Computer Vision Platforms saw the highest growth rate in Q2 at 48%.
In summary, we have analyzed the AI funding amounts in different categories. We’ve discovered that Machine Learning Platforms and Computer Vision Platforms lead the sector in Q2 funding. In addition, Machine Learning Applications dominates AI in all-time funding. It’ll be interesting to see if any other AI categories will catch up in the rest of 2018.
To learn more about our complete artificial intelligence report and research platform, visit us at www.venturescanner.com or contact us at [email protected].
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