Artificial Intelligence Companies Founded by Year - Q3 2017

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The following graph shows the founding year distribution in the Artificial Intelligence sector. The graphic includes data through July 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 259 companies founded in that year alone. 2013 is the runner-up with 244 companies founded in that year.
 
We are currently tracking 1942 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $23 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

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Artificial Intelligence Funding by Round - Q3 2017

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The following two graphs summarize the rounds of funding going into the Artificial Intelligence (AI) space. Please note these graphics are made using data through July 2017.

Artificial Intelligence Funding Amount by Round

The graph above shows the total amount of VC funding broken out by round. From 2006 to 2016, we saw a general increase in the overall sector funding, with the total amount peaking in 2016. Earlier stage funding rounds (Series A, B, and C) made up most of the funding amount.

Artificial Intelligence Funding Count by Round

The graph above shows the total count of funding events broken out by round. From 2006 to 2016 we’ve seen a general upward trend that peaked in 2014 and 2015, and then declined slightly in 2016. Earlier stage funding such as Seed, Series A, and Series B events make up the majority of funding event counts. 

We are currently tracking 1917 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $21.5 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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Average and Median Age by Artificial Intelligence Category - Q3 2017

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

Average/Median Age by AI 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 9 years. 

We are currently tracking 1866 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $17.6 Billion 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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Artificial Intelligence Funding by Round - Q2 2017

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The following two graphs summarize the rounds of funding going into the Artificial Intelligence (AI) space. Please note these graphics are made using data through April 2017.

The graph above shows the total amount of VC funding broken out by round. In recent years, we’ve seen a general increase in the amount of funding across the board, with growth in the amount of practically all funding stages.

The graph above shows the total count of funding events broken out by round. Similar to the earlier graph, we’ve seen a general upward trend over these past few years. Earlier stage deals (Seed, Series A) make up a larger share of the total count.

We are currently tracking 1819 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $16.1 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 - Q2 2017

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

Exit Activity by Category in Artificial Intelligence

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 5 IPOs and 36 acquisitions. The Computer Vision Platforms category is the runner-up with 2 IPOs and 29 acquisitions.

Exit Activity by Year in Artificial Intelligence

The above graph summarizes the number of exits (acquisitions and IPOs) in Artificial Intelligence by year. 2016 currently leads the sector with 36 acquisitions, with 2017 following behind with 1 IPO and 25 acquisitions.

We are currently tracking 1778 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $15B in funding. Click here to learn more about the full Artificial Intelligence market report.

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Average and Median Age by Artificial Intelligence Category - Q2 2017

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

Average and Median Age by AI 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, and the Speech Recognition category has the highest median age at around 9 years. 

We are currently tracking 1743 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $14.5 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

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Artificial Intelligence Companies Founded by Year - Q1 2017

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The following graph shows the founding year distribution in the Artificial Intelligence sector. The graphic includes data through October 2016.

Artificial Intelligence Companies Founded by Year

The above graph summarizes the number of Artificial Intelligence companies founded in a certain year. 2013 ranks at the top with around 188 companies founded in that year alone. 2014 is the runner-up with 173 companies founded in that year.
 
We are currently tracking 1700 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $13 Billion in funding. Click here to learn more about the full Artificial Intelligence landscape report and database.

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Artificial Intelligence Funding by Round - Q1 2017

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The following two graphs summarize the rounds of funding going into the Artificial Intelligence (AI) space. Please note these graphics are made using data through October 2016.

AI Funding by Round by Year - Amount

The graph above shows the total amount of VC funding broken out by round. In recent years, we’ve seen a general increase in the amount of funding across the board, with growth in the amount of practically all funding stages.

AI Funding by Round by Year - Event Count

The graph above shows the total count of funding events broken out by round. Similar to the earlier graph, we’ve seen a general upward trend over these past few years. Earlier stage deals (Seed, Series A) make up a larger share of the total count.

We are currently tracking 1630 Artificial Intelligence companies in 13 categories across 73 countries, with a total of $12.2 Billion in funding. Click here to learn more about the full AI landscape report and database.

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Artificial Intelligence Exits by Category and by Year - Q1 2017

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The following graphs highlight the exit activity in the Artificial Intelligence sector. The graphics include data through October 2016. 

Exit Activity by Category in Artificial Intelligence

The above graph summarizes the number of exits (acquisitions and IPOs) in each Marketing Technology category. The Machine Learning Applications, Natural Language Processing, and Image Recognition Platforms categories lead the sector with 25 exits each.

Exit Activity by Year in Artificial Intelligence

The above graph summarizes the number of exits (acquisitions and IPOs) in Marketing Technology by year. 2016 currently leads the sector with 25 acquisitions, with 2014 following behind with 21 acquisitions.

We are currently tracking 1589 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $10.6B in funding. Click here to learn more about the full Artificial Intelligence landscape report and database.

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Average and Median Age by Artificial Intelligence Category - Q1 2017

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The following graph shows average and median age in the Artificial Intelligence sector. The graphic includes data through October 2016. 

Average and Median Age by AI 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 14 years, and the Speech Recognition category has the highest median age at around 10 years. 

We are currently tracking 1539 Artificial Intelligence companies in 13 categories across 71 countries, with a total of $9.9 Billion in funding. Click here to learn more about the full AI landscape report and database.

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Artificial Intelligence Companies Founded by Year - Q4 2016

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Artificial Intelligence Companies Founded by Year

The above graph summarizes the number of Artificial Intelligence companies founded in a certain year. 2013 ranks at the top with around 188 companies founded in that year alone. 2014 is the runner-up with 173 companies founded in that year.
 
We are currently tracking 1503 Artificial Intelligence companies in 13 categories across 73 countries, with a total of $9.3 Billion in funding. Click here to learn more about the full Artificial Intelligence landscape report and database.
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Artificial Intelligence Startup Landscape Trends and Insights - Q4 2016

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A report providing an overview of the Artificial Intelligence startup landscape, graphical trends and insights, and recent funding and exit events. Click here to see this entire deck on SlideShare.

Artificial Intelligence Trends and Insights

Artificial Intelligence Report Outline

Artificial Intelligence Sector Description

Artificial Intelligence Sector Map

Artificial Intelligence Categories 1

Artificial Intelligence Categories 2

Artificial Intelligence Trends and Insights

Artificial Intelligence Venture Investing

Artificial Intelligence Funding Over Time

Artificial Intelligence Funding By Type

Artificial Intelligence Vintage Funding

Artificial Intelligence Geo Map

Artificial Intelligence Investor Activity

Artificial Intelligence Exit Activity

Artificial Intelligence Quarterly Report

Artificial Intelligence Recent Funding Events

Artificial Intelligence Recent Exit Events

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Venture Scanner Process Overview

Artificial Intelligence Slideshare End

We are currently tracking 1500 Artificial Intelligence companies in 13 categories across 73 countries, with a total of $9.1 Billion in funding. Click here to learn more about the full Artificial Intelligence landscape report and database.

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Artificial Intelligence Category Innovation Quadrant - Q4

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Artificial Intelligence Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Artificial Intelligence categories and how they compare with one another.
 
   •  Heavyweights: Categories with high average funding and high average age. These categories are comprised of companies that have reached maturity with significant financing.
 
   •  Established: Categories with low average funding and high average age. These categories are comprised of companies that have reached maturity with less financing.

   •  Disruptors: Categories with high average funding and low average age. These categories are comprised of companies that are less mature with significant financing.

   •  Pioneers: Categories with low average funding and low average age. These categories are comprised of companies that are less mature with earlier stages of financing.
 
The definitions of the...
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Artificial Intelligence Market Overview - Q4 2016

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Artificial Intelligence Sector Map

The above sector map organizes the Artificial Intelligence sector into 13 categories and shows a sampling of companies in each category.
 
Deep Learning/Machine Learning (Platforms): 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. Examples include using machine learning technology to detect banking fraud or to identify the top retail leads.

Natural Language Processing: Companies that build algorithms that process human language input and convert it into understandable representations. Examples include automated narrative generation and mining text into data.

Speech Recognition: Companies that process sound clips of human speech, identify the exact words, and derive...
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Average Funding by Artificial Intelligence Category - Q3 2016

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The above analysis summarizes the average company funding in each Artificial Intelligence category. The Smart Robots category leads the sector with over $18M in average funding per company, followed by the Deep Learning - Applications category with over $17M in average funding per company.

We are currently tracking 1287 Artificial Intelligence companies in 13 categories across 71 countries, with a total of $7.7B in funding. Click here to learn more about the full AI 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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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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Artificial Intelligence Total Funding by Year - Q3 2016

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The above graph summarizes the total funding raised by Artificial Intelligence companies each year. 2015 was the best year in Artificial Intelligence funding with almost $1.6B raised, with 2016 in the second place with a total of $1.2B raised.

We are currently tracking 1166 Artificial Intelligence companies in 13 categories across 69 countries, with a total of $7.1 Billion in funding. Click here to see the full Artificial Intelligence landscape report and data.

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Where in the World is Artificial Intelligence?

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The analyses below summarize where Artificial Intelligence innovations are occuring.

The above map shows the number of Artificial Intelligence companies located in different countries. The United States ranks as the top country with 600 companies.

The above map shows the amount of Artificial Intelligence venture capital funding in different countries. The United States has the most Artificial Intelligence VC funding at $3.1B.

We are currently tracking 1139 Artificial Intelligence companies in 13 categories across 69 countries, with a total of $6.9 Billion in funding. Click here to see the full Artificial Intelligence landscape report and data.

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Artificial Intelligence Market Overview

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The above sector map organizes the Artificial Intelligence sector into the 13 categories listed below and shows a sampling of companies in each category.

Deep Learning/Machine Learning (Platforms): 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. Examples include using machine learning technology to detect banking fraud or to identify the top retail leads.

Natural Language Processing: Companies that build algorithms that process human language input and convert it into understandable representations. Examples include automated narrative generation and mining text into data.

Speech Recognition: Companies that process sound clips of human speech, identify the exact words, and derive...

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