The document analyzes the artificial intelligence market potential for elder care in US. It evaluates the product segments and its effectiveness. It also covers the expected future advancements in the artificial intelligence technology and key players. Compares the solutions and recommends the best option to invest in an AI elder care US-based start-up company.

1. Investment Recommendation: Artificial Intelligence in US
Elder Care Space for a VC Firm
July 8, 2018 | Atul Gulrajani
Recently, we consulted one of our clients to analyze artificial intelligence start-up investment
opportunity in the US elder care industry. We carried out:
1. Industry Analysis: Market size, opportunities, threats, market segmentation
2. Competitor Analysis: National and Global
3. Recommendation and Investment Rationale
4. Next Steps before Investing (Valuing the company)
5. Aspects to Monitor Investment Post Investment
Some of our findings from the study:
MARKET ANALYSIS
Big Market Opportunity:
 106 million Americans over 50 years age represent a transformative force that will generate
more than $13.5 trillion in annual economic activity by 2032.
 Baby boomers will account for a 73% increase in the 65+ years population in US. And, more
than 30 million boomers will be managing more than one chronic health condition by 2030
Looming Shortage of Caregivers:

2.  By 2023, there will be shortage of 151,000 paid direct caregivers and 3.8 million unpaid family
caregivers
 Anti-immigration stance of the current Trump government to further aggravate the problem as
about 20% of the caregivers in US at present are immigrants
Artificial Intelligence (AI) Solutions
Artificial Intelligence Sensors and Analyzers:
Various sensors are deployed mostly through wearable devices and/or cameras to monitor the
health and movements of the elders. In some cases there are also apps instead of wearable
devices. The apps or wearable device also reminds patients of taking medication when due. The
data from such sensors are then streamed into an artificial intelligence software to process and
analyze key patterns and detect any anomalies. Apart from several usual medical measures of
health, unique behavioral patterns (e.g. brushing, walking, eating, sleeping) of the individual are
studies and patterns are established through machine learning. And all activities are analyzed any
deviations from standard are noted and reported along with the possible risk that put the patient to
(e.g. risk of a fall, heart disease, cancer, mental disorder, depression).
Companion Robots:
Robots are currently being used to at as companions and help for elders. Some of the features of
the robots currently i the market include:
 Two-way communication between a senior and caregiver to keep the elder engaged and
entertained (such as playing games, answering questions, making suggestions on
outdoor activities, updating on happenings around the world, and providing weather and
family updates)
 Can be controlled by elders through a remote control to even perform certain tasks such
as bringing certain things or switching on/off electrical appliances and electronic
equipment, opening door, and talking to people through camera (for bed-ridden elders)
 Send out medication reminders and provide rudimentary social interaction

3.  Robots still need quite a bit of advancement to be able to substitute a human caregiver,
however the industry is moving in the right direction by addressing some of the pressing
challenges such as ethical issues, patient privacy, robot's reliability and accuracy
Companies Analyzed:
Artificial Intelligence Sensors and Analyzers:
 CarePredict’s AI Elder Care platform
 CareAngel
 Blue Willow Systems
 Lively
 Wellnest
 grandCARE
Companion Robots:
 INF Robotics
 OhmniLabs
 Hasbro
 Fraunhofer IPA
 Honda
 Intuition Robotics
 CT Asia Robotics