The following graphs highlight the exit activity in the Artificial Intelligence sector. The graphics include data through July 2017. 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. We are currently tracking 1896 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $19B in funding.

The following graphs highlight recent trends in the Artificial Intelligence (AI) startup funding activity. The graphics include data through April 2017. The above graph summarizes the total funding raised by AI startups for each year. The above graph summarizes the total amount of funding raised by AI companies founded in a certain year. Companies founded in 2012 have raised the most funding at just under $2B.

The Machine Learning - Applications category leads the sector in IPOs (4 companies), while the Computer Vision - Applications category leads the sector in acquisitions (22 companies). Both 2013 and 2015 lead the sector in IPOs (2 companies for each year), while 2014 leads the sector in acquisitions (17 companies). We are currently tracking 1185 Artificial Intelligence companies in 13 categories across 71 countries, with a total of 7.3 Billion in funding. Click here to see the full Artificial Intelligence landscape report and data.

We at Venture Scanner are tracking 957 Artificial Intelligence companies across 13 categories, with a combined funding amount of 4.8 Billion. The 15 visuals below summarize the current state of Artificial Intelligence. Deep Learning/Machine Learning (General): Companies that build computer algorithms that operate based on their learnings from existing data. Examples include predictive data models and software platforms that analyze behavioral data. Deep Learning/Machine Learning (Applications): Companies that utilize computer algorithms that operate based on existing data in vertically specific use cases.