Top Investment Pockets in Artificial Intelligence in Healthcare Market
The global AI in healthcare market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.7% from 2017 to 2023.
The global AI in healthcare market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.7% from 2017 to 2023.
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<strong>Artificial</strong> <strong>Intelligence</strong> <strong>in</strong><br />
<strong>Healthcare</strong> <strong>Market</strong><br />
Global Opportunity Analysis and<br />
Industry Forecast,<br />
2017-2023
Introduction<br />
• <strong>Artificial</strong> <strong>in</strong>telligence (AI) can be def<strong>in</strong>ed as the science and<br />
eng<strong>in</strong>eer<strong>in</strong>g adopted to design <strong>in</strong>telligent mach<strong>in</strong>es, especially<br />
<strong>in</strong>telligent computer programs. AI is an <strong>in</strong>telligent system that<br />
applies various human <strong>in</strong>telligence based functions such as<br />
reason<strong>in</strong>g, learn<strong>in</strong>g, and problem-solv<strong>in</strong>g skills on different<br />
discipl<strong>in</strong>es such as biology, computer science, mathematics,<br />
l<strong>in</strong>guistics, psychology, and eng<strong>in</strong>eer<strong>in</strong>g. AI is widely applicable <strong>in</strong><br />
medication management, treatment plans, and drug discovery.<br />
• The global AI <strong>in</strong> healthcare market was valued at $1,441 million <strong>in</strong><br />
2016, and is estimated to reach at $22,790 million by 2023,<br />
register<strong>in</strong>g a CAGR of 48.7% from 2017 to 2023.
Table of Content<br />
Chapter: 1: Introduction<br />
Chapter: 2: Executive Summary<br />
Chapter: 3: <strong>Market</strong> Overview<br />
Chapter: 4: <strong>Artificial</strong> <strong>Intelligence</strong> In <strong>Healthcare</strong> <strong>Market</strong>, By Offer<strong>in</strong>g<br />
Chapter: 5: <strong>Artificial</strong> <strong>Intelligence</strong> In <strong>Healthcare</strong> <strong>Market</strong>, By Technology<br />
Chapter: 6: <strong>Artificial</strong> <strong>Intelligence</strong> In <strong>Healthcare</strong> <strong>Market</strong>, By Application<br />
Chapter: 7: <strong>Artificial</strong> <strong>Intelligence</strong> In <strong>Healthcare</strong> <strong>Market</strong>, By End User<br />
Chapter: 8: <strong>Artificial</strong> <strong>Intelligence</strong> In <strong>Healthcare</strong> <strong>Market</strong>, By Region<br />
Chapter: 9: Company Profiles
Key Benefits<br />
• This report entails a detailed quantitative analysis of the<br />
current market trends from 2016 to 2023 to identify the<br />
prevail<strong>in</strong>g opportunities.<br />
• <strong>Market</strong> estimations are based on comprehensive analysis<br />
of the key developments <strong>in</strong> the <strong>in</strong>dustry.<br />
• The global market is comprehensively analyzed with<br />
respect to offer<strong>in</strong>g, algorithm, application, end user, and<br />
region.<br />
• In-depth analysis based on geography assists <strong>in</strong><br />
understand<strong>in</strong>g the regional market to assist <strong>in</strong> strategic<br />
bus<strong>in</strong>ess plann<strong>in</strong>g.<br />
• The development strategies adopted by key<br />
manufacturers are enlisted to understand the
Po<strong>in</strong>t of View<br />
“Different <strong>in</strong>terventions rang<strong>in</strong>g from<br />
ma<strong>in</strong>tenance of patient records &<br />
electronic health records (EHR) to<br />
application <strong>in</strong> surgical procedures are<br />
gradually <strong>in</strong>corporat<strong>in</strong>g artificial<br />
<strong>in</strong>telligence, thereby revolutioniz<strong>in</strong>g<br />
healthcare and cl<strong>in</strong>ical sett<strong>in</strong>gs. “<br />
Onkar Sumant<br />
Assistant Manager, <strong>Healthcare</strong> at AMR.
Segment Overview
Segment Overview
• Presently, AI systems <strong>in</strong> the healthcare sector are used for therapy plann<strong>in</strong>g,<br />
retrieve patient <strong>in</strong>formation, and to <strong>in</strong>terpret images. Eventually, these systems<br />
can replace manual <strong>in</strong>volvement by provid<strong>in</strong>g virtual assistance for<br />
management of patient’s health, diagnostic purposes, and other tasks. The use<br />
of AI systems can help to reduce numerous human errors such as unstable<br />
hand movements dur<strong>in</strong>g a surgery/drug delivery and to precisely measure the<br />
dosage of a pharmaceutical drug. In addition, these systems can also be used<br />
to operate on a person with m<strong>in</strong>imal human supervision and monitor the health<br />
Analyst Review<br />
• The demand for artificial <strong>in</strong>telligence systems (AI) is <strong>in</strong>creas<strong>in</strong>g exponentially, as<br />
these systems can accomplish challeng<strong>in</strong>g tasks without human <strong>in</strong>tervention.<br />
These systems can enhance their perception and reason<strong>in</strong>g power, which helps<br />
the system to perform any repetitive functions carried out manually. Different<br />
technologies such as natural language process<strong>in</strong>g and deep learn<strong>in</strong>g are used<br />
<strong>in</strong> AI systems to improve its efficiency <strong>in</strong> the healthcare market.
Company Profiles<br />
• Alphabet Inc. (Google Inc.)<br />
• Enlitic Inc.<br />
• General Vision<br />
• iCarbonX<br />
• Intel Corporation<br />
• IBM Corporation
ThankYou!<br />
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