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Artificial Intelligence in Drug Discovery Market: Current Analysis and Forecast (2021-2027)

Artificial Intelligence in Drug Discovery Market: Current Analysis and Forecast (2021-2027)

Artificial intelligence has inspired computer-aided drug discovery. The widespread adoption of machine learning, in multiple scientific disciplines, advances the computing hardware & software tools to continuously fuel the development of AI in drug discovery. Further, the initial uncertainties regarding applications of AI in pharmaceutical discovery have disappeared and subsequently benefitting medicinal chemistry. For instance, in 2018, the FDA has approved 59 new drugs with the help of AI which was 20% more than in 2017 and 2016. And was the highest number since 1996. The approvals included 19 first-in-class agents, 34 novel drugs for rare diseases, and a record seven biosimilars. The use of big data and AI is immensely accelerating the identification of more precise drugs.

Also, Artificial intelligence has been an effective contributor to drug development during the Covid-19 pandemic. AI was used to identify and replicate protein structure. It supported the drug development market in accelerating drug discovery through validation and virtual screening. For instance, in 2019, during the pandemic, researchers from TCS Innovation Lab had announced their drug discovery process using AI. As the traditional development processes are time-consuming and involve a huge cost. AI and its subsets like machine learning make it easier to design a drug with saving a lot of time. This is increasing the use of AI in drug discovery by the pharmaceutical industries, and it will upsurge the market in the forecasted period.

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for the diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.”

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.

Telemedicine is the delivery of health care services, where

distance is a critical factor, by all health care professionals

using information and communications technologies for

the exchange of valid information for diagnosis, treatment

and prevention of disease and injuries, research and

evaluation, and for the continuing education of health

care providers, all in the interests of advancing the health

of individuals and their communities.

Telemedicine can be determined as an integration

of several components including information and

communication technologies, hardware and soware

technologies and medical services operating together in

order to provide required features or services to users

Telemedicine can be determined as an integration

of several components including information and

communication technologies, hardware and soware

technologies and medical services operating together in

order to provide required features or services to users

Telemedicine can be determined as an integration

of several components including information and

communication technologies, hardware and soware

technologies and medical services operating together in

order to provide required features or services to users

as shown in Fig 1. e underlying technologies are seen

as a black box to the users and they are responsible for

facilitating processes of each proposed service

.......... .......... ........... .......... ........... .......... ........... .......... ........... .......... ........... .......... ........... ...........

....................................... ................................

EDUCATION AND PRACTICE Fundamentals

" Introduction to the practice of telemedicine

John Craig* and Victor Patterson*

w



Department of Neurology, Royal Victoria Hospital, Belfast, UK;

w

Centre for Online Health, University of Queensland, Brisbane,

Australia

Summary

Telemedicine is the delivery of health care and the exchange of health-care information across distances. It is not

a technology or a separate or new branch of medicine. Telemedicine episodes may be classified on the basis of:

(1) the interaction between the client and the expert (i.e. realtime or prerecorded), and (2) the type of

information being transmitted (e.g. text, audio, video). Much of the telemedicine which is now practised is

performed in industrialized countries, such as the USA, but there is increasing interest in the use of telemedicine

in developing countries. There are basically two conditions under which telemedicine should be considered:

(1) when there is no alternative (e.g. in emergencies in remote environments), and (2) when it is better than

existing conventional services (e.g. teleradiology for rural hospitals). For example, telemedicine can be expected

to improve equity of access to health care, the quality of that care, and the efficiency by which it is delivered.

Research in telemedicine increased steadily in the late 1990s, although the quality of the research could be

improved – there have been few randomized controlled trials to date.

Introduction

One of the great challenges facing humankind in the

21st century is to make high-quality health care available

to all. Such a vision has been expressed by the World

Health Organization (WHO) in its health-for-all strategy

in the 21st century.

1

Realizing this vision will be difficult,

perhaps impossible, because of the burdens imposed on

a growing world population by old and new diseases,

rising expectations for health, and socioeconomic

conditions that have, if anything, increased disparities in

health status between and within countries.

Traditionally, part of the difficulty in achieving

equitable access to health care has been that the

provider and the recipient must be present in the same

place and at the same time. Recent advances in

information and communication technologies,

however, have created unprecedented opportunities for

overcoming this by increasing the number of ways that

health care can be delivered. This applies both to

developing countries with weak or unstable economies

and to industrialized countries. The possibilities for

using information and communication technologies to

improve health-care delivery (‘health telematics’) are

increasingly being recognized. The WHO has stated that

with regard to its health-for-all strategy it recommends

that the WHO and its member states should:

integrate the appropriate use of health telematics in

the overall policy and strategy for the attainment of

health for all in the 21st century, thus fulfilling the

vision of a world in which the benefits of science,

technology and public health development are made

equitably available to all people everywhere.

2

Such a commitment to improve health-care delivery,

by utilizing information and telecommunications

technologies, is also being considered by those with the

financial means to do so, for example, the participants

in various European Commission projects. At the

national and subnational level, there is also evidence of

governmental interest in the benefits that these

technologies might bring to health care. For example,

in the UK, information technology including

telemedicine is at the heart of the government’s

strategy to modernize and improve the NHS.

3

Telemedicine, the area where medicine and infor-

mation and telecommunications technology meet, is

probably the part of this revolution that could have the

greatest impact on healthcare deliBased on service, the market is fragmented into Tele-consulting, Tele-monitoring, and Tele-education. The Tele-consulting segment generated more than 45% revenue in 2020. The market is expected to grow at a significant rate during the forecast period. As it permits patients to have appointments with experts at any instance of time, without any waiting period.

Based on Technology, the market is bifurcated into Machine Learning and Other technologies. The Machine Learning segment dominated the market in 2020 as the advances in wireless technology, miniaturization, and computational power with the use of machine learning architectures are fueling the development of more refined and powerful AI tools.

Based on Components, the market is bifurcated into Software and Service. The Software segment accounted for the major revenue portion in 2020. As the Companies which use software has low cost and takes less time to market the drug with low failure rates.

Based on Drug Type, the market is bifurcated into Small molecules and Large molecules. The Small molecule segment accounted for the major revenue portion in 2020. The sector is anticipated to observe significant growth in the upcoming years as their small size makes them easily ingestible in the gastrointestinal tract where active substances are immediately absorbed into the bloodstream and can travel anywhere in the body.

Based on Application, the market is bifurcated into Drug optimization and repurposing, Preclinical testing, and others. The Drug optimization and repurposing segment accounted for the major revenue portion in 2020. As the AI platforms help in identifying alternative applications for existing medicines which can help pharma companies expand their collection of offerings and assist in producing alternative therapies through repurposing in pharmaceutical products.

Based on Therapeutic Area, the market is bifurcated into Cardiovascular Diseases, Infectious Diseases, Metabolic Diseases, Neurogenerative Diseases, Oncology, and Others. The Oncology segment accounted for the major revenue portion in 2020. As, as AI plays an important role in the early identification of cancer. Moreover, cancer treatments may be different for every patient and personalized medicine has proven to be an actual alternative.

Based on End-user, the market is bifurcated into Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers, and Academic & Government Institutes. The Pharmaceutical & Biotechnology Companies segment is anticipated to observe lucrative growth. As they are more prone to work in integration with bioinformatics, computational engineering, nanotechnology, and pharmacogenomics methods into the drug discovery process which will lead to the next stage of advances in drug discovery.

For a better understanding of the market adoption of the Artificial Intelligence in Drug Discovery, the market is analyzed based on its worldwide presence in the countries such as North America (United States, Canada, and the Rest of North America), Europe (Germany, France, Italy, Spain, United Kingdom and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, and Rest of APAC), and Rest of World. North America constitutes a major market for the Artificial Intelligence in Drug Discovery industry and generated the maximum revenue in 2020 owing to the presence of key companies and healthcare infrastructure with the highest spending’s in the world. However, the Europe region would also grow at the same pace during the forecast period.

Some of the major players operating in the market include IBM Corporation, Microsoft, Google, NVIDIA Corporation, Atomwise, Inc., Insilico Medicine, BIOAGE, BenevolentAI, Numerate, NuMedii, etc. Several M&As along with partnerships have been undertaken by these players to develop the Artificial Intelligence in Drug Discovery market.
1MARKET INTRODUCTION
1.1Market Definitions
1.2Objective of the Study
1.3Limitation
1.4Stake Holders
1.5Currency Used in Report
1.6Scope of the Global Artificial Intelligence in Drug Discovery Market Study
2RESEARCH METHODOLOGY OR ASSUMPTION
2.1Research Methodology for the Global Artificial Intelligence in Drug Discovery Market
2.1.1Main Objective of the Global Artificial Intelligence in Drug Discovery Market
3MARKET SYNOPSIS
4EXECUTIVE SUMMARY
5TOP START-UPS UNDER ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY SECTOR
6GLOBAL ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AMID COVID-19
7GLOBAL ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY MARKET REVENUE (USD MN), 2019-2027F
8MARKET INSIGHTS BY TECHNOLOGY
8.1Machine Learning
8.1.1Deep Learning
8.1.2 Supervised Learning
8.1.3 Reinforcement Learning
8.1.4 Unsupervised Learning
8.1.5 Other Machine Learning Technologies
8.2Other Technologies
9MARKET INSIGHTS BY COMPONENT
9.1Software
9.2Service
10MARKET INSIGHTS BY DRUG TYPE
10.1Small Molecule
10.2Large Molecule
11MARKET INSIGHTS BY APPLICATION
11.1Drug Optimization and Repurposing
11.2Preclinical Testing
11.3Others
12MARKET INSIGHTS BY THERAPEUTIC AREA
12.1Cardiovascular Disease
12.2Infectious Disease
12.3Metabolic Diseases
12.4Neurodegenerative Diseases
12.5Oncology
12.6Others
13MARKET INSIGHTS BY END-USER
13.1Contract Research Organizations
13.2Pharmaceutical & Biotechnology Companies
13.3Research Centers and Academic & Government Institutes
14   MARKET INSIGHTS BY REGION
14.1North America Artificial Intelligence in Drug Discovery Market
14.1.1United States
14.1.2Canada
14.1.3Rest of North America
14.2Europe Artificial Intelligence in Drug Discovery Market
14.2.1Germany
14.2.2France
14.2.3United Kingdom
14.2.4Italy
14.2.5Spain
14.2.6Rest of Europe
14.3Asia Pacific Artificial Intelligence in Drug Discovery Market
14.3.1China
14.3.2Japan
14.3.3India
14.3.4Australia
14.3.5Rest of Asia Pacific
14.4Rest of World Artificial Intelligence in Drug Discovery Market
15ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY MARKET DYNAMICS
15.1Market Drivers
15.2Market Challenges
15.3Impact Analysis
16ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY MARKET OPPORTUNITIES
17ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY MARKET TRENDS
18LEGAL & REGULATORY FRAMEWORK
19DEMAND AND SUPPLY SIDE ANALYSIS
19.1Demand Side Analysis
19.2Supply Side Analysis
19.2.1Top Product Launches
19.2.2Top Business Partnerships
19.2.3Top Business Expansions, Investments and Divestitures
19.2.4Top Merger and Acquisitions
20VALUE CHAIN ANALYSIS
21COMPETITIVE SCENARIO
21.1Porter’s Five Forces Analysis
21.1.1Bargaining power of Supplier
21.1.2Bargaining power of Buyer
21.1.3Industry Rivalry
21.1.4Availability of Substitute
21.1.5Threat of new Entrants
21.2Competitive Landscape
21.2.1Company Shares, By Revenue
22COMPANY PROFILED
22.1IBM Corporation 
22.2Microsoft
22.3Google
22.4NVIDIA Corporation
22.5Atomwise, Inc.
22.6Insilico Medicine
22.7BIOAGE
22.8BenevolentAI
22.9Numerate 
22.10NuMedii
23DISCLAIMER

Report Title: Artificial Intelligence in Drug Discovery Market: Current Analysis and Forecast (2021-2027)


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