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Author: admin | Category: Fish Tattoo | 30.07.2015

We at Venture Scanner are tracking 957 Artificial Intelligence companies across 13 categories, with a combined funding amount of $4.8 Billion.
Natural Language Processing (General): Companies that build algorithms that process human language input and convert it into understandable representations. Natural Language Processing (Speech Recognition): Companies that process sound clips of human speech, identify the exact words, and derive meaning from them. Gesture Control: Companies that enable one to interact and communicate with computers through their gestures. Virtual Personal Assistants: Software agents that perform everyday tasks and services for an individual based on feedback and commands.
Smart Robots: Robots that can learn from their experience and act autonomously based on the conditions of their environment. Recommendation Engines and Collaborative Filtering: Software that predicts the preferences and interests of users for items such as movies or restaurants, and delivers personalized recommendations to them. Context Aware Computing: Software that automatically becomes aware of its environment and its context of use, such as location, orientation, lighting and adapts its behavior accordingly. Speech to Speech Translation: Software which recognizes and translates human speech in one language into another language automatically and instantly. 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.
The above graph summarizes the number of companies in each Artificial Intelligence category to show which categories are dominating the current market.
The above graph summarizes the total amount of funding in each Artificial Intelligence category. The above graph compares the total venture funding in each Artificial Intelligence category to the number of companies in the category.
The above graph summarizes the total funding raised by Artificial Intelligence companies each year. The above graph summarizes the average company funding in each Artificial Intelligence category. The above graph summarizes the average age of companies in each Artificial Intelligence category.
The above graph summarizes the median age of companies in each Artificial Intelligence category. The above map shows the number of Artificial Intelligence companies located in different countries.
The above map shows the amount of Artificial Intelligence venture capital funding in different countries.
The above graph summarizes the number of Artificial Intelligence companies founded in a certain year.
The above graph summarizes the total amount of funding raised by the Artificial Intelligence companies founded in a certain year. The above graph summarizes the percentage of Artificial Intelligence companies with a certain employee headcount range. The above graph summarizes the total number of investment rounds Artificial Intelligence investors participated in. The above graph summarizes the number of unique Artificial Intelligence companies funded by selected investors. The following infographic summarizes the number of companies invested by the top Artificial Intelligence investors. Venture Scanner enables corporations to research, identify, and connect with the most innovative technologies and companies.
The following infographic summarizes the Artificial Intelligence market and all of its key metrics at a glance. The following infographic summarizes Artificial Intelligence companies’ total funding by the vintage year they were founded in. Number of Companies Per Category: Bar graph summarizing the number of companies in each Artificial Intelligence category.
Average Funding By Category: Bar graph summarizing average company funding per Artificial Intelligence category.
Venture Funding in Artificial Intelligence: Graph comparing total venture funding in Artificial Intelligence to the number of companies in each category. Global Breakdown of Artificial Intelligence: Heat map indicating where Artificial Intelligence companies exist. Median Age of Artificial Intelligence Categories: Bar graph of each Artificial Intelligence category by median age.


Natural Language Processing: Natural language processing is the method through which computers process human language input and convert into understandable representations to derive meaning from them. Smart Robots: Smart robot companies build robots that can learn from their experience and act and react autonomously based on the conditions of their environment. Virtual Personal Assistants: Virtual personal assistants are software agents that use artificial intelligence to perform tasks and services for an individual, such as customer service, etc. Natural Language Processing (Speech Recognition): Speech recognition is a subset of natural language processing that focuses on processing a sound clip of human speech and deriving meaning from it. Recommendation Engines and Collaborative Filtering: Recommendation engines are systems that predict the preferences and interests of users for certain items (movies, restaurants) and deliver personalized recommendations to them. Gesture Control: Gesture control is the process through which humans interact and communicate with computers with their gestures, which are recognized and interpreted by the computers. Video Automatic Content Recognition: Video automatic content recognition is the process through which the computer compares a sampling of video content with a source content file to identify what the content is through its unique characteristics. Context Aware Computing: Context aware computing is the process through which computers become aware of their environment and their context of use, such as location, orientation, lighting and adapt their behavior accordingly. Speech to Speech Translation: Speech to speech translation is the process through which human speech in one language is processed by the computer and translated into another language instantly. The bar graph above summarizes the number of companies in each Artificial Intelligence category to show which are dominating the current market. The bar graph above summarizes the average company funding per Artificial Intelligence category. The graph above compares total venture funding in Artificial Intelligence to the number of companies in each category. The following infographic is an updated heat map indicating where Artificial Intelligence startups exist across 62 countries. The following infographic is an updated heat map indicating where Artificial Intelligence startups exist across 62 countries. At this time, we are tracking 855 Artificial Intelligence companies across 13 categories, with a combined funding amount of $2.73B. Natural Language Processing: Natural language processing is the method through which computers process human language input and convert into understandable representations to derive meaning from them. Smart Robots: Smart robot companies build robots that can learn from their experience and act and react autonomously based on the conditions of their environment. Virtual Personal Assistants: Virtual personal assistants are software agents that use artificial intelligence to perform tasks and services for an individual, such as customer service, etc. Natural Language Processing (Speech Recognition): Speech recognition is a subset of natural language processing that focuses on processing a sound clip of human speech and deriving meaning from it. Recommendation Engines and Collaborative Filtering: Recommendation engines are systems that predict the preferences and interests of users for certain items (movies, restaurants) and deliver personalized recommendations to them.
Gesture Control: Gesture control is the process through which humans interact and communicate with computers with their gestures, which are recognized and interpreted by the computers. Video Automatic Content Recognition: Video automatic content recognition is the process through which the computer compares a sampling of video content with a source content file to identify what the content is through its unique characteristics.
Context Aware Computing: Context aware computing is the process through which computers become aware of their environment and their context of use, such as location, orientation, lighting and adapt their behavior accordingly.
Speech to Speech Transition: Speech to speech translation is the process through which human speech in one language is processed by the computer and translated into another language instantly. Examples include predictive data models and software platforms that analyze behavioral data. Examples include using machine learning technology to detect banking fraud or to identify the top retail leads. Examples include software that detects voice commands and translates them into actionable data. Examples include software that recognizes faces or enables one to search for a retail item by taking a picture.
Examples include software that enables one to control video game avatars through body motion, or to operate computers and television through hand gestures alone.
Examples include customer service agents on websites and personal assistant apps that help one with managing calendar events, etc.
Examples include home robots that could react to people’s emotions in their interactions and retail robots that help customers find items in stores. Examples include music recommendation apps and restaurant recommendation websites that deliver their recommendations based on one’s past selections. Examples include software that translates video chats and webinars into multiple languages automatically and in real-time.


Examples include software that detects copyrighted material in user-uploaded videos by comparing them against copyrighted material. The Machine Learning (Applications) category is leading the way with 263 companies, followed by the Natural Language Processing category with 154 companies.
The Machine Learning (Applications) category is leading in both stats with over $2B in funding and 263 companies. 2015 was the best year in Artificial Intelligence funding with almost $1.2B raised, with 2014 in the second place with a total of $1B raised.
The Machine Learning (Applications) category leads the market with $17M in funding per company, followed by the Smart Robots and Gesture Control categories each with about $14M in funding per company.
Speech to Speech Translation ranks as the most mature Artificial Intelligence category with an average age of 13 years per company, which is more than 1.5X the average age of the three runner-up categories (Gesture Control, Video Content Recognition, and Speech Recognition, each with an average age of about 8 years per company). The United States ranks as the top country with 499 Artificial Intelligence companies, with the United Kingdom at a distant second with 60. The United States has the most Artificial Intelligence VC funding at $4.2B, followed by Switzerland at $234M. 2013 ranks as the top year with 118 Artificial Intelligence companies founded, followed by 2012 with 103 companies founded. Artificial Intelligence companies founded in 2010 have raised the most funding at $566M, with those founded in 2012 at a close second with $556M.
Accel outperform all of its peers, having made 23 investments into Artificial Intelligence companies.
Accel takes the top spot by having invested in a total of 20 unique Artificial Intelligence companies, which is almost 1.5X the number of companies invested by the runner-up, Intel Capital (14 companies). You could see that Intel Capital is in the lead by having invested in 16 companies, followed by Techstars which invested in 14 companies.
You could see that it has 13 categories, 910 companies, and an average funding of $10 Million per company.
You could see that Artificial Intelligence companies founded in 2007 and 2008 are in the lead by raising a total of $504 Million funding up to date. Previously, we published posts that summarized Financial Technology, Internet of Things, Bitcoin, and MarTech in six visuals. Deep learning is a subset of machine learning that focuses on deeply layered neural networks. The following companies either build natural language processing technology or utilize it as the core offering in their products (excluding all speech recognition companies). Collaborative filtering is a method of predicting a user’s preferences and interests by collecting the preference information from many other similar users. The “Speech Recognition” and “Video Content Recognition” categories have the highest median age at 8 years, followed by “Computer Vision (General)” at 6.5 years. These are companies and categories that involve anything and everything that is Artificial Intelligence.
Collaborative filtering is a method of predicting a user’s preferences and interests by collecting the preference information from many other similar users.
Natural Language Processing is the runner-up in both stats with $662M in funding and 154 companies. At Venture Scanner, we are currently tracking over 897 Artificial Intelligence companies in 13 categories across 66 countries, with a total of $3.98 Billion in funding. At Venture Scanner, we are currently tracking over 910 Artificial Intelligence companies in 13 categories across 63 countries, with a total of $3.68 Billion in funding. At Venture Scanner, we are currently tracking over 880 Artificial Intelligence companies in 13 categories across 62 countries, with a total of $3.07 Billion in funding.
The SEM category includes companies that help marketers with managing and scaling their paid-search programs. At this time, we are tracking 855 AI companies across 13 categories, with a combined funding amount of $8.75 billion.
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