Venture Investing in the Future of Television through Q3 2017

The following graphs highlight venture investing trends into the Future of Television (TV) sector. The graphics include data through May 2017.

FoTV Venture Investing Q3 2017

The above graph compares the total venture funding in each Future of TV category to the number of companies in the category. The Video Consumption category leads in funding at around $9B. Video Advertising leads in company count at around 145.

FoTV Category Average Funding Q3 2017

The above analysis summarizes the average company funding in each Future of TV category. The Video Consumption category leads the sector with under $110M in average funding per company, followed by the Video Licensing and Video Creation categories.

We are currently tracking 770 Future of TV companies in 11 categories across 41 countries, with a total of $25 Billion in funding. Click here to learn more about the full Future of Television market report.

Retail Technology Activity by Selected Investors through Q3 2017

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

Retail Technology Investor Activity Q3 2017

The above analysis summarizes the total number of investment rounds Retail Tech investors participated in, and the number of unique companies funded by selected investors. Major investors into the space include Sequoia Capital, 500 Startups, SV Angel, Accel Partners, and GV.

We are currently tracking 1,649 Retail Technology companies in 22 categories across 58 countries, with a total of $50 Billion in funding. Click here to learn more about the full Retail Technology market report.

Connected Transportation Funding Trends through Q3 2017

The following graphs highlight recent trends in Transportation Technology startup funding activity. The graphics include data through May 2017.

Transportation Tech Funding by Year Q3 2017

The above graph summarizes the total funding raised by Transportation Technology startups for each year. 2016 has the most funding to date at $23B.

Transportation Tech Vintage Year Funding Q3 2017

The above graph summarizes the total amount of funding raised by Transportation Technology companies founded in a certain year. Companies founded in 2012 have raised the most funding at over $20B.

We are currently tracking 1,136 Transportation Technology companies in 17 categories across 66 countries, with a total of $77 Billion in funding. Click here to learn more about the full Transportation Technology market report.

Artificial Intelligence Market Overview and Innovation Quadrant – Q3 2017

The following post highlights how Venture Scanner categorizes the Artificial Intelligence (AI) startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through July 2017.

AI Logo Map Q3 2017

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

AI Innovaiton Quadrant Q3 2017

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

Computer Vision/Image Recognition Applications: Companies that utilize technology that process images in vertically specific use cases. Examples include software that recognizes faces or enables one to search for a retail item by taking a picture.

Computer Vision/Image Recognition Platforms: Companies that build technology that process and analyze images to derive information and recognize objects from them. Examples include visual search platforms and image tagging APIs for developers.

Context Aware Computing: Companies that product software that automatically becomes aware of its environment and its context of use, such as location, orientation, lighting and adapts its behavior accordingly. Examples include apps that light up when detecting darkness in the environment.

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.

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.

Gesture Control: Companies that enable one to interact and communicate with computers through their gestures. Examples include software that enables one to control video game avatars through body motion, or to operate computers and television through hand gestures alone.

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.

Personalized Recommendation Engines: Companies that predict the preferences and interests of users for items such as movies or restaurants, and deliver personalized recommendations to them. Examples include music recommendation apps and restaurant recommendation websites that deliver their recommendations based on one’s past selections.

Smart Robots: Robots that can learn from their experience and act autonomously based on the conditions of their environment. Examples include home robots that could react to people’s emotions in their interactions and retail robots that help customers find items in stores.

Speech Recognition: Companies that process sound clips of human speech, identify the exact words, and derive meaning from them. Examples include software that detects voice commands and translates them into actionable data.

Speech to Speech Translation: Companies that recognize and translate human speech in one language into another language automatically and instantly. Examples include software that translates video chats and webinars into multiple languages automatically and in real-time.

Video Automatic Content Recognition: Software that compares a sampling of video content with a source content file to identify the content through its unique characteristics. Examples include software that detects copyrighted material in user-uploaded videos by comparing them against copyrighted material.

Virtual Assistants: Software agents that perform everyday tasks and services for an individual based on feedback and commands. Examples include customer service agents on websites and personal assistant apps that help one with managing calendar events, etc.

We are currently tracking 1,888 AI companies in 13 categories across 70 countries, with a total of $19 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

Venture Investing in Artificial Intelligence through Q3 2017

The following graphs highlight venture investing trends into the Artificial Intelligence (AI) sector. The graphics include data through July 2017.

AI Venture Investing Q3 2017

The above graph compares the total venture funding in each AI category to the number of companies in the category. The Machine Learning Applications category leads in both stats, with over $8B in funding and around 575 startups.

AI Q3 2017 Average Funding by Category

The above analysis summarizes the average company funding in each AI category. The Smart Robots category leads the sector with just over $35M in average funding per company, followed by the Recommendation Engine and Machine Learning Platform categories.

We are currently tracking 1,884 AI companies in 13 categories across 70 countries, with a total of $18.5 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

Artificial Intelligence Startup Market Trends and Insights  – Q3 2017

Here is our Q3 2017 summary report on the Artificial Intelligence (AI) startup sector. The following report includes a startup landscape overview, graphical trends with insights, and recent funding and exit events.

We are currently tracking 1,884 AI companies in 13 categories across 70 countries, with a total of $18.5 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

Virtual Reality Activity by Selected Investors – Q3 2017

The following graph summarizes investor activity in the Virtual Reality (VR) space. Please note these graphics are made using data through July 2017.

VR Investor Actiity Q3 2017.jpg

The above analysis summarizes the total number of investment rounds VR investors participated in, and the number of unique companies funded by selected investors. Major investors into the space include Andreessen Horowitz, Sky, GV, DHVC, and The VR Fund.

We are currently tracking 700 VR companies in 13 categories across 49 countries, with a total of $6.5 Billion in funding. Click here to learn more about the full Virtual Reality market report.