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

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.

The following post highlights how Venture Scanner categorizes the Financial Technology startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through April 2017.

The above sector map organizes the sector into 16 categories and shows a sampling of companies in each category.

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Financial Technology categories and how they compare with one another.

Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.
Established: These categories are comprised of companies that have reached maturity with less financing.
Disruptors: These categories are comprised of companies that are less mature with significant financing.
Pioneers: These categories are comprised of companies that are less mature with earlier stages of financing.

The definitions of the Financial...

The following graphs highlight venture investing trends into the Financial Technology sector. The graphics include data through April 2017.

The above graph compares the total venture funding in each Fintech category to the number of companies in the category. The Consumer Lending category takes the lead in both metrics, with around $19B in funding and about 290 startups. 

The above analysis summarizes the average company funding in each Fintech category. The Consumer Lending category leads the sector with around $95M in average funding per company, followed by the Payments Backend and Business Lending categories.

We are currently tracking 2,171 Financial Technology companies in 16 categories across 63 countries, with a total of $64B in funding. Click here to learn more about the full Financial Technology market report.

The following graphs highlight the exit activity in the Virtual Reality sector. The graphics include data through March 2017.

The above graph summarizes the number of exits (acquisitions and IPOs) in each Virtual Reality category. Virtual Augmented Reality, VR Enabling Software, and 3D Modeling categories lead the sector with 4 exits each. 

The above graph summarizes the number of exits (acquisitions and IPOs) in Virtual Reality by year. 2016 currently leads the sector with 5 acquisitions, followed by 2014 with 3 acquisitions.

We are currently tracking 677 Virtual Reality companies in 13 categories across 49 countries, with a total of $4.8B in funding. Click here to learn more about the full Virtual Reality market report.

The following two graphs summarize the rounds of funding going into the 3D Printing Technology space. Please note these graphics are made using data through March 2017.

The graph above shows the total amount of VC funding broken out by round. From 2006 to 2016, we saw a sharp increase in the overall sector funding, with the total amount peaking in 2015 and then declining thereafter. Series A, B, and C funding have accounted for a substantial amount of total funding.

The graph above shows the total count of funding events broken out by round. The general trend over the past few years has been a substantial number of funding events in the Seed stage and a fewer number in the Series A stage, with the funding events in the later stages quickly dropping off.

We are currently tracking 376 3D Printing companies in 9 categories across 40 countries, with a total of $1.4 Billion in funding. Click here to learn more about the full 3D Printing market report.

The following post highlights how Venture Scanner categorizes the Health Technology startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through April 2017.

The above sector map organizes the sector into 22 categories and shows a sampling of companies in each category.

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Health Technology categories and how they compare with one another.

Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.
Established: These categories are comprised of companies that have reached maturity with less financing.
Disruptors: These categories are comprised of companies that are less mature with significant financing.
Pioneers: These categories are comprised of companies that are less mature with earlier stages of financing.

The definitions of the Health Technology...

The following graph summarizes investor activity in the Energy Technology space. Please note these graphics are made using data through March 2017.

The above analysis summarizes the total number of investment rounds Energy Technology investors participated in, and the number of unique companies funded by selected investors. Kleiner Perkins takes the lead in both metrics. Other large investors include DFJ, NYSERDA, and Khosla Ventures.

We are currently tracking 747 Energy Technology companies in 12 categories across 46 countries, with a total of $46 Billion in funding. Click here to learn more about the full Energy Technology market report.

The following post highlights how Venture Scanner categorizes the Internet of Things (IoT) startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through April 2017.

The above sector map organizes the sector into 20 categories and shows a sampling of companies in each category.

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different IoT categories and how they compare with one another.

Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.
Established: These categories are comprised of companies that have reached maturity with less financing.
Disruptors: These categories are comprised of companies that are less mature with significant financing.
Pioneers: These categories are comprised of companies that are less mature with earlier stages of financing.

The definitions of the IoT categories are as...

Here is our Q1 2017 summary report on the Internet of Things (IoT) startup sector. The following report includes a startup landscape overview, graphical trends and insights, and recent funding and exit events.

We are currently tracking 1,809 IoT companies in 20 categories across 50 countries, with a total of $32 Billion in funding. Click here to learn more about the full Internet of Things market report.

The following graphs highlight recent trends in Real Estate Technology startup funding activity. The graphics include data through March 2017.

The above graph summarizes the total funding raised by Real Estate Technology startups for each year. 2014 is the best year with around $8B in funding. 2016 comes in at second with about $7B in funding.

The above graph summarizes the total amount of funding raised by Real Estate Technology companies founded in a certain year. Companies founded in 2010 have raised the most funding at just under $6B.

We are currently tracking 1,430 Real Estate Technology companies in 12 categories across 62 countries, with a total of $35 Billion in funding. Click here to learn more about the full Real Estate Technology report.