Artificial Intelligence Sector Overview - Q4 2017

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As we previously noted, interest in AI has exploded. Its applications can be found in virtually every industry from marketing to healthcare to finance. On our AI research platform, we have classified the companies in the sector into functional categories. This blog post aims to examine these categories and how they compare with one another through a series of graphics.

Machine Learning Applications Is the Largest AI Category

Let’s start off by looking at the Logo Map for the AI sector. As of January 2018, we have classified 2,029 AI startups into 13 categories which collectively raised $27 billion in funding. The Logo Map highlights the number of companies in each category and a random sampling of these companies.

Artificial Intelligence Logo Map

We have seen what the different categories in AI are and how many companies are within each category. What about their funding and maturity in relation to one another? Let’s look at our Innovation Quadrant to find out.

Most of the AI Categories Are Pioneers

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Age by Category in Artificial Intelligence - Q3 2017

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The following graph shows average and median age in the Artificial Intelligence sector. The graphic includes data through July 2017.

Artificial Intelligence Age by Category

The above graph summarizes the average and median age of companies in each Artificial Intelligence category. The Speech to Speech Translation category has the highest average age at around 13 years, followed by the Speech Recognition category with an average age of 9 years. The Speech Recognition category also has the highest median age at around 8.5 years. Machine Learning Applications is the youngest category with an average age of 5 years and a median age of 4.5 years.

We are currently tracking 1965 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $23.7 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

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Artificial Intelligence Exits by Category and by Year - Q3 2017

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The following graphs highlight the exit activity in the Artificial Intelligence sector. The graphics include data through July 2017.

Artificial Intelligence Exits by Category

The above graph summarizes the number of exits (acquisitions and IPOs) in each Artificial Intelligence category. The Machine Learning Applications category leads the sector with 4 IPOs and 43 acquisitions. The Natural Language Processing category is the runner-up with 4 IPOs and 29 acquisitions.

Artificial Intelligence Exits by Year

The above graph summarizes the number of exits (acquisitions and IPOs) in Artificial Intelligence by year. 2017 currently leads the sector with 1 IPO and 41 acquisitions, with 2016 following behind with 39 acquisitions.

We are currently tracking 1896 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $19B in funding. Click here to learn more about the full Artificial Intelligence market report.

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Artificial Intelligence Companies Founded by Year - Q2 2017

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The following graph shows the founding year distribution in the Artificial Intelligence sector. The graphic includes data through April 2017.

Artificial Intelligence Companies Founded by Year

The above graph summarizes the number of Artificial Intelligence companies founded in a certain year. 2014 ranks at the top with around 231 companies founded in that year alone. 2013 is the runner-up with 220 companies founded in that year.
 
We are currently tracking 1844 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $16.5 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

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