Marketing Technology Exits by Category and by Year – Q3 2017

The following graphs highlight the exit activity in the Marketing Technology sector. The graphics include data through May 2017.

Exit Activity by Category in Marketing Technology
Exit Activity by Category in Marketing Technology

The above graph summarizes the number of exits (acquisitions and IPOs) in each Marketing Technology category. The Automation Software category leads the sector with 7 IPOs and 49 acquisitions. The Social Media Marketing and Ad Networks categories follow behind with 4 IPOs and 36 acquisitions each.

Exit Activity by Year in Marketing Technology
Exit Activity by Year in Marketing Technology

The above graph summarizes the number of exits (acquisitions and IPOs) in Marketing Technology by year. 2016 currently leads the sector with 1 IPO and 59 acquisitions, with 2015 following behind with 3 IPOs and 42 acquisitions.

We are currently tracking 1661 Marketing Technology companies in 15 categories across 58 countries, with a total of $28.8 Billion in funding. Click here to learn more about the full Marketing Technology market report.

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.

Health Technology Funding by Round – Q3 2017

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

Health Technology Funding Amount by Round
Health Technology Funding Amount by Round

The graph above shows the total amount of VC funding broken out by round. From 2006 to 2016, we saw a general increase in the overall sector funding, with the total amount peaking in 2015 and declining slightly thereafter. Earlier stage rounds (Series A, B, and C) make up a larger share of the total amount.

Health Technology Funding Count by Round
Health Technology Funding Count by Round

The graph above shows the total count of funding events broken out by round. From 2006 to 2016 we’ve seen an upward trend that peaked in 2014 and declined slightly thereafter. Earlier stage funding such as Seed, Series A, and Series B events make up the majority of funding event counts.

We are currently tracking 1960 Health Technology companies in 22 categories across 57 countries, with a total of $47.1 Billion in funding. Click here to learn more about the full Health Technology market report.

Where in the world are Blockchain Technology startups? Q3 2017

The analyses below summarize where Blockchain Technology innovations are occurring. The graphic includes data through May 2017.

Blockchain Technology Company Count by Country
Blockchain Technology Company Count by Country

The above map shows the number of Blockchain Technology companies located in different countries. The United States ranks as the top country with around 350 companies.

Blockchain Technology VC Funding by Country
Blockchain Technology VC Funding by Country

The above map shows the amount of total Blockchain Technology startup venture capital funding in different countries. The United States has the most VC funding at around $1B.

We are currently tracking 933 Blockchain Technology companies in 12 categories across 74 countries, with a total of $2.8B in funding. Click here to learn more about the full Blockchain Technology market report.