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.

Insurance Technology Startup Exit Activity – Q4 2016

The following two graphs show exit activity in the Insurance Technology sector. The graphics include data through October 2016.

insurance-technology-exits-by-category
Exit Activity by Category in Insurance Technology

The above graph summarizes the number of exits (acquisitions and IPOs) in each Insurance Technology category. The Insurance Infrastructure category is leading the sector with 20 exits, followed by the Insurance Comparison and Life & Home Insurance categories.

insurance-technology-exits-by-year
Exit Activity by Year in Insurance Technology
The above graph summarizes the number of exits (acquisitions and IPOs) in the Insurance Technology sector by year. 2016 leads the sector with 17 exit events, followd by 2014 with 12 exit events.

We are currently tracking 1020 Insurance Technology companies in 14 categories across 54 countries, with a total of $17B in funding. Click here to learn more about the full Insurance Technology landscape report and database.

Where in the World are Artificial Intelligence Startups? – Q1 2017

The analyses below summarize where Artificial Intelligence (AI) innovations are occurring.

Artificial Intelligence Company Count by Country
Artificial Intelligence Company Count by Country

The above map shows the number of AI startups located in different countries. The United States ranks as the top country with around 740 companies.

Artificial Intelligence VC Funding by Country
Artificial Intelligence VC Funding by Country

The above map shows the amount of total AI startup venture capital funding in different countries. The United States has the most VC funding at around $6B.

We are currently tracking 1,531 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.

3D Printing Startup Exit Activity – Q4 2016

The following two graphs show exit activity in the 3D Printing sector. The graphics include data through October 2016.

3D Printing Exit Activity by Category
3D Printing Exit Activity by Category

The above graph summarizes the number of exits (acquisitions and IPOs) in each 3D Printing category. The 3D Printer Manufacturers category is leading the sector with 12 exits, followed by 3D Printing Services and 3D Printing CAD Software.

3d-printing-exit-activity-time

The above graph summarizes the number of exits (acquisitions and IPOs) in the 3D Printing sector by year. 2014 leads the sector with 10 exit events (8 acquisitions and 2 IPOs).

We are currently tracking 365 3D Printing companies in 9 categories across 41 countries, with a total of $1.3 Billion in funding. Click here to learn more about the full 3D Printing landscape report and database.

Internet of Things Activity by Selected Investors – Q4 2016

Internet of Things (IoT) Activity by Selected Investors
Internet of Things (IoT) Activity by Selected Investors

The above analysis summarizes the total number of investment rounds Internet of Things (IoT) investors participated in, and the number of unique companies funded by selected investors. SOSV takes the lead in both categories, making the highest number of investments (around 70) and backing the most companies (over 45). Techstars, Intel Capital, and Khosla Ventures round out the top of the list.

We are currently tracking 1,520 Internet of Things companies in 20 categories across 47 countries, with a total of $26.32 Billion in funding. Click here to learn more about the full IoT landscape report and database.

Artificial Intelligence Funding by Type – Q4 2016

The following two graphs summarize the types of funding going into the Artificial Intelligence (AI) space.

Artificial Intelligence Funding Type  - Amount
Artificial Intelligence Funding Type  –  Amount

The graph above shows the total amount of VC funding broken out by type. 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.

Artificial Intelligence Funding Type  -  Count
Artificial Intelligence Funding Type  –  Count

The graph above shows the total count of funding events broken out by type. 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 1,522 Artificial Intelligence companies in 13 categories across 73 countries, with a total of $9.8 Billion in funding. Click here to learn more about the full AI landscape report and database.

Venture Investing In Security Technology – Q4 2016

venture-investing-in-security-technology

The above graph compares the total venture funding in each Security Technology category to the number of companies in the category. The Thread Detection/Mitigation category leads the sector in both the Total Funding stat ($6B in funding) and the Company Count stat (over 200 startups).

We are currently tracking 764 Security Technology companies in 14 categories across 40 countries, with a total of $12.8B in funding. Click here to learn more about the full Security Technology landscape report and database.