Virtual Reality Category Innovation Quadrant - Q4

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Virtual Reality Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Virtual Reality 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.
 
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Energy Technology Category Innovation Quadrant - Q4

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Energy Technology Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Energy Technology 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.
 
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Internet of Things Funding Trends - Q4 2016

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IoT Startup Funding over Time

The above graph summarizes the total funding raised by Internet of Things (IoT) startups for each year. 2014 is the best year so far with over $5B in funding. 2016 comes in at second place with just around $4.75B raised to date.

IoT Startup Funding by Vintage Year

The above graph summarizes the total amount of funding raised by IoT companies founded in a certain year. Companies founded in 2011 have raised the most funding at just under $3B, followed by those founded in 2012 which have raised about $2B.

We are currently tracking 1,504 Internet of Things companies in 20 categories across 46 countries, with a total of $26 Billion in funding. Click here to learn more about the full IoT 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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Real Estate Technology Category Innovation Quadrant - Q4

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Real Estate Technology Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Real Estate Technology 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.
 
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Security Technology Category Innovation Quadrant - Q4

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Security Technology Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Security Technology 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.
 
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Where in the World are Financial Technology Startups? - Q4 2016

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The analyses below summarize where Financial Technology innovations are occurring.

Fintech Startup Count by Country

The above map shows the number of Fintech companies located in different countries. The United States ranks as the top country with around 1,000 companies.

Fintech Startup Funding by Country

The above map shows the amount of total Fintech startup venture capital funding in different countries. The United States has the most VC funding at around $31B.

We are currently tracking 2,001 Financial Technology companies in 16 categories across 59 countries, with a total of $55B in funding. Click here to learn more about the full Financial Technology landscape report and database.

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Average and Median Age by Virtual Reality Category - Q4 2016

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Average and Median Age by Virtual Reality Category

The above graph summarizes the average age and median age of companies in each Virtual Reality category. The Virtual Augmented Reality category has the highest average age at 6 years, followed by the 3D Modeling category with an average age of just under 6 years. The Enterprise VR category has the highest median age at 15 years, followed by the VR Enabling Software category with a median age of 14 years.

We are currently tracking 565 Virtual Reality companies in 13 categories across 43 countries, with a total of $3.4 Billion in funding. Click here to learn more about the full Virtual Reality landscape report and database.

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Future of TV Category Innovation Quadrant - Q4

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Future of TV Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Future of TV 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.
 
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Retail Technology Category Innovation Quadrant - Q4

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Retail Technology Category Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Retail Technology 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.
 
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