Artificial Intelligence (AI) will create $13 trillion in value by 2030, according to McKinsey. That's a pretty good reason to take a closer look at the AI market and see what's under the hood. And that's exactly what I did in the Enterprise VC: 2019 AI Market Review deck.
3. AI
Gartner defines Articial as technology that appears
to emulate human performance typically by
learning, coming to its own conclusions, appearing
to understand complex content, engaging in
natural dialogs, enhancing human cognitive
performance, or replacing people in execution of
non-routine tasks.
Source: Gartner
3
4. 4
Time
1955
1969
“Shakey” the first general
purpose mobile bot is
born
2002
1997 2005-2018
Speech recognition, RPA,
Dancing Robots, Smart
Homes + more to come
The phrase “Artificial
Intelligence” coined by
John McCarthy
Supercomputer “Deep
Blue” beat the world chess
champion in a game
First commercially
successful robotic
vacuum cleaner was
invented
6. 6
Types
Narrow AI
AI that automates single
activities and outperforms
human efficiency.
General AI
AI that can perform any
intellectual task a human.
Super AI
AI, also known as the Singularity,
where AI becomes smarter
than humans.
20. Value by Industry
Industries that stand to gain most value from AI::
1. Travel
2. Transport and logistics
3. Retail
4. Automotive and Assembly
5. High Tech
20
Source: McKinsey
21. Enterprise AI | Top 5
Industry Spenders
Automotive
$10.6B expected
spend on AI by
2025
Retail
$3.4B expected
spend on
customer
service agents
and expert
shopping
advisors in 2018
Banking
$3.3B expected
spend on threat
intelligence and
fraud analysis in
2018
21
22. Enterprise AI | Top 5
Industry Spenders
Manufacturing
$2.0B expected spend
on preventative
maintenance, quality
management
investigation, and
recommendation
systems in 2018
Healthcare
$1.7B investment to
diagnosis and
treatment systems in
2018
22
24. 24
Automotive
Momenta -Perception
DeepMap - Mapping
Pony.ai - AV
Nexar - Driver Safety
Retail
Signifyd - Anti-Fraud
ABEJA - Analytics
AiFi - Check out free store
TwentyBN - AI Assistant
Banking
DataVisor - Anti-Fraud
AppZen - Auditing
Behavox - Behavioral Analytics
Enterprise AI | AI 100 by Industry + Focus
25. 25
Enterprise AI | AI 100 by Industry + Focus
Manufacturing / Industrial
C3 - IoT
Zymergen - Material Discovery
Landing AI - Quality Inspection
Sense Labs - Energy
Desegregation
Healthcare
Butterfly Network - Imaging +
Diagnostics
Atomwise - Drug R&D
Gauss Surgical - Operating Room
LeanTaas - Administrative
Medopad - Remote Monitoring
Mindstrong Health - Mental Health
General Enterprise
Shape Security - Cybersecurity
Mighty AI - Training Data
Applitools - Software Dev
Automation Anywhere - RPA
BounceX - Ads, Sales, Marketing
DataRobot - Data Management
Orbital Insight - Alternative
Data
Element AI - Other
PROWLER.io - RL Platform
26. ● Google Ventures (27)
● Kleiner Perkins (22)
● Data Collective (21)
● New Enterprise Associates (19)
● Accel (16)
26
Source: CB Insights
AI Investors | Top VCs by # of Deals
33. 33
Resources
● Gartner | Hype Cycle for Emerging Technologies, 2018
● AI Intelligence Index | AI 2018 Annual Report
● FirstMark | Big Data & AI Landscape 2018
● IDC | Worldwide Spending on Cognitive and AI
● Occams Research | Global Enterprise AI Market: Tech, Market Share and Industry Forecast to 2024
● Taradata | Survey: 80 Percent of Enterprises Investing in AI, but Cite Significant Challenges Ahead
● Deloitte | State of AI in the Enterprise, 2nd Edition
● IDC | Worldwide Semiannual Cognitive Artificial Intelligence Systems
● McKinsey | AI Frontier Applications and Value of Deep Learning
● CB Insights | AI Deals Tracker
● Sage | AI in 2019: A Handbook for Business Leaders
● Tractica | AI Software Revenue to Reach $59.8B Worldwide by 2025
● Topbots | The Essential Landscape of Enterprise AI Companies (2018-2019)
● Forbes | 80% Of Enterprises Are Investing In AI Today
● CB Insights | AI 100: The Artificial Intelligence Startups Redefining Industries
● CB Insights | What’s next in AI?
● CB Insights | The Race For AI: Google, Intel, Apple In A Rush To Grab Artificial Intelligence Startups
● CIO | The biggest AI startup deals of 2018
● McKinsey | Notes from the AI frontier: Modeling the impact of AI on the world economy
The selections were based on factors including — but not limited to — patent activity, investor profile, market potential, partnerships, competitive landscape, team strength, and novelty.