Machine Learning Applications Leads Artificial Intelligence In Number of Investors

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The artificial intelligence (AI) industry has seen 3,434 investors and $62B total all time funding. Let's analyze which AI categories have the most number of investors actively financing the startups. The graphic below highlights AI categories based on the number of investors in each category.

Artificial Intelligence Investors Per Category

As the graphic demonstrates, Machine Learning Applications has the highest number of investors at 1988, with Machine Learning Platforms following behind at 785. Machine Learning Application companies apply self-learning algorithms to optimize specific business operations, while Machine Learning Platform companies build these algorithms that operate based on their learnings from existing data. In addition, the average number of investors across all AI categories is 507.

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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Artificial Intelligence Sector Overview - Q1 2019

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This blog post examines the different components of the artificial intelligence (AI) ecosystem. We will illustrate what the categories of innovation are and which categories have the most companies. We will also compare the categories in terms of their funding and maturity.

Machine Learning Applications Is The Largest Artificial Intelligence Category

Let’s start off by looking at the Sector Map. We have classified 2497 AI startups into 13 categories. They have raised $60B from 3420 investors. The Sector Map highlights the number of companies in each category. It also shows a random sampling of companies in each category.

Artificial Intelligence Logo Map

We see that Machine Learning Applications is the largest category with 943 companies. These companies utilize self-learning algorithms to optimize vertically-specific business operations. Examples include using machine learning to detect banking fraud or to identify relevant sales leads. Some example companies are Sift Science, SparkCognition, Sumo Logic, and...

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Explained - AI's Explosive Funding Growth

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Artificial Intelligence (AI) has become one of the hottest sectors in recent years, with its technology promising to revolutionize and automate every industry imaginable. We have been covering this trend, showing a massive increase in AI startup funding. As you can see in the graphic below, AI funding more than doubled from 2016 to 2017. Its funding more than tripled from 2016 to 2018.

AI Funding Over Time

This phenomenon then begs the question - what caused this explosive growth in AI funding? This explainer blog will help you understand the contributing forces behind the growth. It can be attributed to three factors: 
 
The geopolitical battle between the US and China 
The AI sector maturing over time 
Specific AI functions gaining strong traction
 

US and China’s Geopolitical Battle for AI Dominance

The first factor contributing to the staggering AI funding jump is the geopolitical battle for AI dominance between the US and China. A plethora of news outlets, such as...
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Artificial Intelligence Average Funding Event Size Shows Steady Growth

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For this quarter's funding analysis, let's examine how average funding event sizes in the artificial intelligence (AI) sector are evolving. The graphic below shows the AI average funding event size over time by quarter.

Artificial Intelligence Average Funding Event Size

As the graphic demonstrates, AI average funding event size in Q1 2019 was at $35M. This is an increase of 75% from the $20M in Q1 2018. The average funding size has been on a robust upward trend, with the average funding size last quarter around 3 times larger than it was 5 years ago. The top three funding events in Q1 2019 include a $940M round from Nuro, a $600M round from Horizon Robotics, and a $530M round from Aurora.

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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Artificial Intelligence Report Highlights  – Q1 2019

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Here is our Q1 2019 summary report on the artificial intelligence startup sector. The following report includes a sector overview and recent activity.

Artificial Intelligence Slideshare Title

Artificial Intelligence Sector Summary

Artificial Intelligence Sector Map

Artificial Intelligence Quarterly Highlights

Artificial Intelligence Innovation Quadrant

Artificial Intelligence Funding Over Time

Artificial Intelligence Funding By Category

Artificial Intelligence Investors Over Time

Artificial Intelligence Exits Over Time

About Venture Scanner

Artificial Intelligence Slideshare End

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

 

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AI Investors With the Most Activity

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The artificial intelligence (AI) industry has seen $50B in total all time funding. Let's analyze the investors making bets into AI and identify the most active firms. 

The graphic below shows AI investors based on their number of investments into the sector. If an investor participates in two investment rounds in the same company (such as a Series A and Series B), that would qualify as two investments for this graphic.

AI Investors with Most Investments

As the graphic demonstrates, Y Combinator has made the most bets in the AI sector with 75 investments. New Enterprise Associates follows in second place with 64 investments. Examples of companies Y Combinator invested in include Vicarious, Sift Science, Atomwise, and Standard Cognition. Let's see which investors make their way onto this list in 2019!

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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AI Exit Activity Slowed in 2018

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Now that 2018 is complete, let’s see how exit activity for artificial intelligence (AI) compares to previous years. The graphic below shows the total annual AI exit events over time.

AI Exits Over Time

As the graphic demonstrates, 2018 saw a drop in AI exit activity compared to the previous year. The 58 exit events in 2018 represent a 22% decrease from the 74 exit events in 2017, which was the highest year on record for exit activity. However, AI exits are still on a general upward trend, with a 5-year CAGR of 24% from 2013 to 2018. Let's see if the AI exit activity in 2019 will jump back up to the 2017 level.

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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Artificial Intelligence Report Highlights  – Q4 2018

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Here is our Q4 2018 summary report on the artificial intelligence startup sector. The following report includes a sector overview and recent activity.

Artificial Intelligence Slideshare Title

Artificial Intelligence Quarterly Highlights

Artificial Intelligence Sector Summary

Artificial Intelligence Sector Map

Artificial Intelligence Innovation Quadrant

Artificial Intelligence Funding Over Time

Artificial Intelligence Funding By Category

Artificial Intelligence Investors Over Time

Artificial Intelligence Exits Over Time

About Venture Scanner

Artificial Intelligence Slideshare End

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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AI Funding Reaches Record Year in 2018

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With 2018 now behind us, let’s examine how artificial intelligence (AI) funding compares to previous years. The graphic below shows the total annual AI funding amounts over time. 

AI Annual Funding Over Time

As the graphic demonstrates, 2018 experienced the highest AI funding on record at $18B. It represents a 24% increase from the previous year’s funding. In addition, AI funding grew at a CAGR of 62% from 2013 to 2018. It'll be interesting to observe if the funding growth will remain strong in the new year.

To learn more about our complete artificial intelligence dynamic report, visit us at www.venturescanner.com or contact us at [email protected].

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Machine Learning-Related Categories Lead Artificial Intelligence Funding

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We’ve previously highlighted that artificial intelligence (AI) funding has seen explosive growth in recent years. When we take a closer look at the funding trends for each category within AI, we notice two key takeaways:

The Machine Learning Platforms category leads the sector in Q3 funding
The Machine Learning Applications category leads the sector in all-time funding

We’ll highlight these takeaways with some graphics and discussions below.

The Machine Learning Platforms Category Leads AI In Q3 Funding

To start off, let’s review the amount of funding raised this quarter by each category within artificial intelligence.

Artificial Intelligence Latest Quarter Category Funding

The above graphic highlights that the Machine Learning Platforms category leads the sector in Q3 funding with $1.9B. The Computer Vision Platforms category follows in second place with $1.6B in Q3 funding.

Machine Learning Platform companies build self-learning algorithms that operate based on existing data. They include predictive data models and...

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Artificial Intelligence Sector Overview - Q3 2018

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The artificial intelligence sector has experienced explosive funding growth in recent years. This blog post examines the different components of the AI sector and how they make up this startup ecosystem. We will illustrate what the categories of innovation are and which categories have the most companies. We will also compare the categories in terms of their funding and maturity.

Machine Learning Applications Is the Largest Artificial Intelligence Category

Let’s start off by looking at the Sector Map. We have classified 2,316 artificial intelligence startups into 13 categories that have raised $45 billion. The Sector Map highlights the number of companies in each category. It also shows a random sampling of companies in each category.

Artificial Intelligence Sector Map

We see that Machine Learning Applications is the largest category with 866 companies. These companies utilize self-learning algorithms to optimize business operations in vertically specific use cases. Examples include using machine learning to...

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Artificial Intelligence Startup Highlights  – Q3 2018

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Here is our Q3 2018 summary report on the artificial intelligence startup sector. The following report includes a sector overview and recent activity.

Artificial Intelligence Slideshare Title

Artificial Intelligence Splash Slide

Artificial Intelligence Sector Map

Artificial Intelligence Innovation Quadrant

Artificial Intelligence Funding by Category

Artificial Intelligence Funding Over Time

Artificial Intelligence Funding Round Counts

Artificial Intelligence Exits Over Time

Artificial Intelligence Company Count by Country

About Venture Scanner

Artificial Intelligence Slideshare End

To learn more about our complete artificial intelligence report and research platform, visit us at www.venturescanner.com or contact [email protected].

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Mid-Year Artificial Intelligence Exits Analysis

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In Q2, AI had the second highest exit activity on record. Now armed with the data through June 2018, we’re performing a mid-year status check on how this year is shaping up.

Based on analysis on our AI research platform, we see that exit activity in the first half of 2018 is slightly down from 2017.

2018 Mid-Year AI Exit Activity Lower Than 2017 But Higher Than 2016

Let’s take a closer look at the number of AI exit events by year.

artificial-intelligence-exits-by-quarter

The above graphic shows 32 exits in the first half of 2018. For the past three years, Q3 and Q4 accounted for 46% of total exit events on average. If that trend holds, 2018 exits finish the year slightly lower than 2017, but higher than 2016. We'll see if the second half of the year changes this trend!

To learn more about our complete artificial intelligence report and research platform, visit us at www.venturescanner.com or contact us at [email protected].

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Artificial Intelligence Startup Highlights  – Q2 2018

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Here is our Q2 2018 summary report on the artificial intelligence startup sector. The following report includes a sector overview and recent activity.

To learn more about our complete artificial intelligence report and research platform, visit us at www.venturescanner.com or contact [email protected].

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Machine Learning Categories Lead AI Funding

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Last quarter we observed that the artificial intelligence sector is maturing. This quarter we are conducting a deeper analysis on our AI research platform to examine funding by category. Our analysis shows two important observations:

  • Machine Learning Platforms and Computer Vision Platforms lead the sector in Q2 funding
  • Machine Learning Applications dominates the sector in all-time funding

We’ll explain these observations with some graphics and discussions below.

Machine Learning Platforms and Computer Vision Platforms Lead AI in Q2 Funding

To start off, let’s scrutinize the AI funding by category in Q2.

Artificial Intelligence Current Quarter Category Funding

The above graphic shows that both Machine Learning Platforms and Computer Vision Platforms lead the sector in Q2 funding with $1.5B each. Machine Learning Applications and Smart Robots follow in the second and third places with $1.4B and $1B, respectively. It’s also noteworthy that there is a steep drop-off after Smart Robots, as its funding is 3.4 times higher...

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Deep Learning Applications and Computer Vision Platforms Lead AI Exit Activity

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Last quarter we reviewed artificial intelligence exit trends and saw strong growth. We now dig in one level deeper on our AI report and research platform to examine exits by category. We conclude that Deep Learning Applications and Computer Vision Platforms are at the forefront of AI exit activity.

This conclusion was derived from two takeaways:

  • The Deep Learning Applications category leads in the number of exits
  • The Computer Vision Platforms category leads in acquisition amount

We’ll illustrate these takeaways with some graphics that show AI exit activity by category.

To help set the stage, the graphic below shows AI exit activity over time. As you can see, the sector’s exit activity experienced strong growth over the past few years.

Artificial Intelligence Exits by Quarter

Deep Learning Applications Leads AI in the Number of Exits

Let’s examine the exit events for each AI category. Exit events include both acquisitions and IPOs. The below graph highlights the number of AI exit events by category.

Artificial Intelligence Exits by Category

...

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Artificial Intelligence Sector Overview - Q1 2018

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Artificial Intelligence (AI) has seen a lot of buzz in the news recently. As previously noted, funding into the AI sector grew exponentially in the past few years. We’ve also observed that funding amounts and funding counts have shifted to later stages, indicating that the sector is maturing. 

We will now examine the different components of AI and how they make up this startup ecosystem. On our AI research platform, we have classified the companies into 13 categories. This blog post illustrates what these categories are and which categories have the most companies. We will also look at how these categories compare with one another in terms of their funding and maturity.

Machine Learning Applications Is the Largest AI Category

Let’s start off by looking at the Sector Map for the AI sector. As of March 2018, we have classified 2161 AI startups into 13 categories that have raised $32 billion. The Sector Map highlights the number of companies in each category. It also...

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Artificial Intelligence Startup Highlights  – Q1 2018

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Here is our Q1 2018 summary report on the Artificial Intelligence startup sector. The following report includes an overview, recent activity, and a category deep dive.

Artificial Intelligence Slideshare Title

Artificial Intelligence Slideshare Intro Slide

Artificial Intelligence Sector Summary

Artificial Intelligence Sector Map

Artificial Intelligence Innovation Quadrant

Artificial Intelligence Annual Funding Over Time

Artificial Intelligence Quarterly Funding Over Time

Artificial Intelligence Exit Events Over Time

Artificial Intelligence Latest Activity

Artificial Intelligence Funding Round Counts

Artificial Intelligence Quarterly Category Funding

Artificial Intelligence Recent Funding Events

Artificial Intelligence Recent Exit Events

Artificial Intelligence Deep Learning Platforms

Artificial Intelligence Venture Investing

Artificial Intelligence Category Funding Quartiles

Deep Learning Platforms Total Annual Funding

Deep Learning Platforms Companies with Largest Funding Amounts

About Venture Scanner

Venture Scanner Process

Artificial Intelligence Slideshare End Slide

To learn more about our complete Artificial Intelligence report and research platform, visit us at www.venturescanner.com or contact [email protected].

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AI Sector Maturing As Funding Shifts to Later Stage

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Last quarter we saw that Artificial Intelligence (AI) funding grew exponentially in 2017. This quarter we are going one level deeper on our AI research platform to examine its funding by round. From our analysis we can conclude that the AI sector is maturing. 

This conclusion comes from two takeaways:

  •      Funding amounts are shifting to mid and late-stage events
  •      Later-stage funding counts increased while early-stage funding counts dropped

We’ll explain these takeaways with some graphics that show AI funding activity by round.

To help set the stage, the graphic below illustrates AI funding amount over time. As you can see, the sector’s funding exploded in 2017.

Artificial Intelligence Annual Funding Amount

AI Funding Amounts Shifting to Mid and Late-Stage Events

We’ll start off by examining the annual AI funding amounts. The below graph shows recent AI funding amounts in different rounds.

Artificial Intelligence Funding Amount by Round

We see that AI funding amount for all stages grew from 2012 to 2017. Most...

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Venture Scanner Sector Maps (Part 2 of 2)

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Our sector maps are snapshots of emerging technology sectors. They show what the different categories in a sector are and how many startups are within each category. They also present a small sampling of the current startups that are innovating in each category.

Last week, we kicked off our sector map update with Part 1. You can read that blog post here.

This post is the second of a two-part series. Below you will find sector maps for Artificial Intelligence, Internet of Things, Marketing Technology, Real Estate Technology, Retail Technology, Security Technology, Transportation Technology, and Virtual Reality.

Artificial Intelligence: 13 categories, 2161 companies, $32B in funding

Artificial Intelligence Sector Map

Internet of Things: 20 categories, 2151 companies, $52B in funding

Internet of Things Sector Map

Marketing Technology: 15 categories, 1771 companies, $33B in funding

Marketing Technology Sector Map

Real Estate Technology: 12 categories, 1649 companies, $48B in funding

Real Estate Technology Sector Map

Retail Technology: 21 categories, 1746 companies, $59B in funding

Retail Sector Map

Security Technology: 14...

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