Bitcoin/Blockchain Exits by Category and by Year - Q3 2016

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The above graph summarizes the number of exits (acquisitions and IPOs) in each Bitcoin/Blockchain category. The Bitcoin News/Data and Bitcoin Exchange categories both lead the sector with 7 acquisitions each. 

The above graph summarizes the number of exits (acquisitions and IPOs) in Bitcoin/Blockchain by year. 2015 leads the sector with 13 exits (all acquisitions), while 2016 is already in second place with 9 exits (also, all acquisitions).

We are currently tracking 853 Bitcoin/Blockchain companies in 12 categories across 73 countries, with a total of $1.7 Billion in funding. Click here to learn more about the full Bitcoin and Blockchain Technology landscape report and dataset.

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Connected Transportation Companies Founded by Year - Q3 2016

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The above graph summarizes the number of Connected Transportation companies founded in a certain year. 2012 ranks at the top, with 63 companies founded in that year alone. 2013 comes in after with around 61 Connected Transportation companies founded.

We are currently tracking 881 Connected Transportation companies in 17 categories across 60 countries, with a total of $42 Billion in funding. Click here to learn more about the full Connected Transportation landscape report and dataset.

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Where in the World is Blockchain Technology? - Q3 2016

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The analyses below summarize where Bitcoin and Blockchain Technology innovations are occurring.

The above map shows the number of Bitcoin/Blockchain companies located in different countries. The United States ranks as the top country with 327 companies.

The above map shows the amount of total Bitcoin/Blockchain venture capital funding in different countries. The United States has the most VC funding at $13.6B.

We are currently tracking 853 Bitcoin/Blockchain companies in 12 categories across 73 countries, with a total of $1.7 Billion in funding. Click here to learn more about the full Bitcoin and Blockchain Technology landscape report and dataset.

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Average and Median Age by Artificial Intelligence Category - Q3 2016

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The above graph summarizes the average age and median age of companies in each Artificial Intelligence category. The Speech to Speech Translation category ranks as the most mature Artificial Intelligence category with an average age of around 13 years and a median age of 7 years. The Deep Learning - Application category comes in as the second oldest category, with a average age of 9 years and a median age of 5 years.

We are currently tracking 1190 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.

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Average Funding by Virtual Reality Category - Q3 2016

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The above analysis summarizes the average company funding in each Virtual Reality category. The Virtual Augmented Reality category leads the sector with over $110M in average funding per company, followed by the VR Creation Hardware category with over $29M in average funding per company.

We are currently tracking 533 Virtual Reality companies in 13 categories across 41 countries, with a total of $3 Billion in funding. Click here to see the full Virtual Reality landscape report and dataset.

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Artificial Intelligence Exits by Category and by Year - Q3 2016

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The above graph summarizes the number of exits (acquisitions and IPOs) in each Artificial Intelligence category. 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).

The above graph summarizes the number of exits (acquisitions and IPOs) in Artificial Intelligence by year. 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.

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Venture Investing In 3D Printing Q3 2016

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The above graph compares the total venture funding in each 3d Printing category to the number of companies in the category. The 3D Printer Manufacturers category is leading in the Total Funding stat with over $450M invested into that category alone, and also leading Company Count stat with around 77 companies.

We are currently tracking 273 3d Printing companies in 9 categories across 34 countries, with a total of $1 Billion in funding. Click here to learn more about the full 3D Printing landscape report with data.

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Marketing Technology Total Funding by Year - Q3 2016

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The above graph summarizes the total funding raised by Marketing Technology companies each year. 2015 was the best year in MarTech funding with almost $3.6B raised, with 2014 in the second place with a total of $3.3B raised.

We are currently tracking 1295 Marketing Technology companies in 15 categories across 51 countries, with a total of $18.7 Billion in funding. Click here to see the full Marketing Technology landscape report and data.

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Security Technology Activity by Selected Investors - Q3 2016

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The above analysis summarizes the total number of investment rounds Security Technology investors participated in, and the number of unique Security Tech companies funded by selected investors. Accel currently leads the pack with 26 investments into Security Technology and backing 21 companies. Sequoia Capital is the runner-up with 24 investments into Security Technology and backing 10 companies.

We are currently tracking 565 Security Technology companies in 14 categories across 34 countries, with a total of $7.6 Billion in funding. Click here to see the full Security Technology landscape report and data.

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Retail Technology Headcount Distribution - Q3 2016

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The above graph summarizes the percentage of Retail Technology companies with a certain employee headcount range. Companies with 1–50 employees make up nearly 70% of the market.

We are currently tracking 1335 Retail Technology companies in 22 categories across 56 countries, with a total of $30.4 Billion in funding. Click here to see the full Retail Technology landscape report and data.

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