Connected Transportation Funding by Type – Q1 2017

The following two graphs summarize the types of funding going into the Connected Transportation space. Please note these graphics are made using data through January 2017.

Connected Transportation Funding Amount by Type
Connected Transportation Funding Amount by Type

The graph above shows the total amount of VC funding broken out by type. In recent years, we’ve seen a large increase in the amount of Series A and Late Stage funding events. The amount of Series D funding events has seen a large growth in 2014 and then quickly decreased.

Connected Transportation Funding Count by Type
Connected Transportation Funding Count by Type
The graph above shows the total count of funding events broken out by type. Over the past few years we’ve seen a general upward trend that peaked in 2015 and dipped slightly in 2016. Earlier stage deals (Seed, Series A, Series B) have seen the largest growth in the number of funding events.

We are currently tracking 1054 Connected Transportation companies in 17 categories across 65 countries, with a total of $51.3 Billion in funding. Click here to learn more about the full Connected Transportation landscape report and database.

Insurance Technology Funding Trends – Q1 2017

The following graphs highlight recent trends in Insurance Technology (InsurTech) funding activity.

insurance-technology-funding-over-time

The above graph summarizes the total funding raised by InsurTech startups for each year. 2014 is the best year so far with just over $6B in funding. 2015 comes in at second place with just under $4B in funding.

insurance-technology-vintage-funding

The above graph summarizes the total amount of funding raised by InsurTech companies founded in a certain year. Companies founded in 2013 have raised the most funding at around $2.6B, followed by those founded in 2014 which have raised about $1B.

We are currently tracking 1,022 Insurance Technology companies in 14 categories across 54 countries, with a total of $17 Billion in funding. Click here to learn more about the full Insurance Technology report and database.

Bitcoin/Blockchain Companies Founded by Year – Q1 2017

The following graph shows the founding date distribution in the Bitcoin/Blockchain sector. The graphic includes data through October 2016.

Bitcoin/Blockchain Companies Founded by Year
Bitcoin/Blockchain Companies Founded by Year
The above graph summarizes the number of Bitcoin/Blockchain companies founded in a certain year. 2014 ranks at the top with 162 companies founded in that year. 2013 is close behind with 137 companies founded.

We are currently tracking 897 Bitcoin and Blockchain companies in 12 categories across 74 countries, with a total of $1.8 Billion in funding. Click here to learn more about the full Bitcoin and Blockchain landscape report and database.

Where in the World are Internet of Things Startups? – Q1 2017

The analyses below summarize where Internet of Things (IoT) innovations are occurring.

iot-company-count-by-country

The above map shows the number of IoT startups located in different countries. The United States ranks as the top country with around 930 companies.

iot-vc-funding-by-country

The above map shows the amount of total IoT startup venture capital funding in different countries. The United States has the most VC funding at around $16B.

We are currently tracking 1,544 Internet of Things companies in 20 categories across 47 countries, with a total of $27 Billion in funding. Click here to learn more about the full IoT landscape report and database.

Average and Median Age by Artificial Intelligence Category – Q1 2017

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
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.

Venture Investing In Financial Technology – Q1 2017

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

fintech-venture-investing-by-category

The above graph compares the total venture funding in each Financial Technology category to the number of companies in the category. The Consumer Lending category leads the sector with around $17.5B in total funding and about 275 companies in total company count. The Payments Backend, Business Lending, and Consumer Payments categories also feature a large amount of investing and number of startups.

Financial Technology Average Funding by Category

The above analysis summarizes the average company funding in each Financial Technology category. The Consumer Lending category leads the sector with around $95M in average funding per company. The Consumer Payments and Payments Backend categories round out the top three.

We are currently tracking 2,049 Financial Technology companies in 16 categories across 59 countries, with a total of $58 Billion in funding. Click here to learn more about the full Financial Technology landscape report and database.

Connected Transportation Market Overview and Innovation Quadrant – Q1 2017

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

Connected Transportation Logo Map

The above sector map organizes the Connected Transportation sector into 17 categories and shows a sampling of companies in each category.

Connected Transportation Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Connected Transportation 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 Connected Transportation categories are as follows:

Auto Clean Tech: Companies that create next-generation solutions seeking to make transportation more friendly towards the environment. Examples include technologies to increase fuel efficiency, lower emissions, and take advantage of renewable fuels.

Auto Fleet Management: Companies that enable professional owners of large fleets of vehicles to better optimize their total cost of ownership. Examples include solutions for tracking fleet locations, managing repairs and service, and fueling payment systems.

Auto Heads Up Displays (HUD): Companies that bring “cockpit” style display technologies into the automotive realm. Examples include technologies based on cell phones, mounted dashboard projectors, and devices embedded into windshields.

Automotive Infotainment: Companies that provide communication and entertainment services into an automotive experience, either through the manufacturer or after-market sales. Examples include music libraries, voice activation telephony, and voice-to-text translation.

Automotive Telematics: Companies that provide car owners with better access to specific information about their car. Examples include on-board data readers, diagnostic tools, and notifications to mobile devices for enhanced safety features (such as road-side assistance).

Autonomous & Assisted Cars: Companies that provide various solutions that assist a human in driving a car or work to eliminate the need for a human behind the wheel. Examples include automotive LiDAR, automotive RADAR, and automotive artificial intelligence computing.

Auto Wireless Networking: Companies that offer solutions to help cars communicate wirelessly with the cloud. Examples include wireless chip sets, infrastructure monitoring devices, and data analytics software.

Car Sharing: Companies that provide for the collaborative consumption of cars, enabling consumers to share the cost of auto ownership. Examples include centrally administered micro-rentals and peer-to-peer shared ride arrangement portals.

Enhanced Auto Ownership: Companies that allow for new methodologies to buy, rent, and own cars. Examples include social networks dedicated to car culture, mobile apps for scheduling auto maintenance, and streamlined services to buy/sell cars.

Individualized Insurance: Companies that provide new methodologies for automotive insurance. Examples include comparison websites, metered payments via telematic devices, and personalized quotes based on user-specific driving habits.

Intelligent Transit Systems: Companies that enable the sharing of information between cars and infrastructure – sometimes referred to as Vehicle-to-Infrastructure (V2I). Examples include solutions for collision avoidance, toll booth metering, and traffic routing management.

Mapping, Location, and Route Optimization: Companies that understand where a consumer is and offer recommendations based upon that specific location. Examples include providing local maps, localized advertising, and individualized directions.

Public Transit Enhancement: Companies that aim to encourage the use of public transit options. Examples include real-time tracking of buses, loyalty programs, and simplified ticketing options.

Ride Hailing and Scheduling: Companies that enable consumers to schedule a ride either in real time or for the future. Examples include transportation network companies, white label mobile applications, and website booking portals.

Smart City and Mobility: Companies that provide next generation solutions for increasing sustainability in how transportation is conducted within cities. Examples include all electric vehicles (from full size automobiles to smaller scooters) and distributed energy systems which make it easier for these vehicles to recharge.

Smart Parking Technology: Companies offering solutions that make it easier to park, usually in dense urban environments. Examples include software to manage parking space inventories, real-time inventory information, and mobile payment options.

Vehicle to Vehicle (V2V) Communications: Companies which allow for direct vehicle-to-vehicle communication. Examples include technologies for collision avoidance, dynamic route optimization, and maintaining the flow of traffic.

We are currently tracking 1,053 Connected Transportation companies in 17 categories across 65 countries, with a total of $51 Billion in funding. Click here to learn more about the full 3D Printing landscape report and database.