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Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, 2023-2030

  • Report ID: 64255
  • Date: May, 2023
  • Pages: 120
  • Category: Healthcare & Pharmaceuticals

Global Artificial Intelligence (AI) in Drug Discovery Market Analysis and Forecast, 2023-2030

The global AI in the Drug Discovery market was US$ 780 million in 2021 and is expected to grow at a CAGR of 26.8% over the forecast period of 2023-2030.

Market Scope & Overview

The global Artificial Intelligence in Drug Discovery market study by Altus Market Research comprises comprehensive market analysis and insights across the key market segments and geography. The market report analyzes the global market for the historical period of 2019-2022 and the forecast period of 2023-2030 based on the product installed base, key forecasting factors impacting the market conditions, and major market developments happening in the market throughout the analysis period.

Altus Market Research practices primary and secondary research for conducting an insightful market study. Various market parameters such as macroeconomic conditions, market environment, government policies, and competitive landscape are thoroughly studied and taken into account while analyzing the market.

The global Artificial Intelligence in Drug Discovery market report also covers value chain and supply chain analysis that provides in-depth information about the value addition at each stage of the product. Market dynamics incorporated in the market study include drivers, restraints/challenges, trends, and their impact on the market throughout the analysis period.

The global AI in the Drug Discovery market includes a market share analysis and market structure overview with detailed company profiling of leading players with their financials, product offerings, major developments, etc. This enables, clients and report buyers to make strong, precise, and timely decisions.

State of Global Economy, COVID-19 Outbreak, and the Russo-Ukraine War Impact

The global economy experienced heavy headwinds, throughout 2019-2022, as some countries witnessed subdue growth, while other countries continued to grapple with economic slowdowns. Also, intensifying tension between the US and Iran along with the tightening sanctions on Venezuela by the US further hampered global economic growth in 2019. Moreover, the heightened trade war between the US and China and the rising trade uncertainty continued to exert adverse effects on the global economy. Amid all these, the COVID-19 outbreak at the end of the year 2019 in Wuhan, China further deteriorated global economic growth.

The COVID-19 pandemic has levied undue pressure across the majority of industries globally and has caused a major economic crisis in the US, India, Italy, UK, Germany, India, Japan, South Korea, the UK, and many others. Many of these countries had announced partial or complete nationwide lockdowns. The governments of several nations have called on people to shelter in place at home, travel restrictions, shut down local businesses, and prohibited social gatherings.

The rapid spread of the virus in the early month of 2020 followed by a second wave of COVID-19 caused a significant change in management strategies of the leading industries which have affected the market or industry at a significant level. Besides, the exit of the UK from the European Union earlier in 2020 and the Russo-Ukraine war in 2022 exacerbated the ever-heightened global uncertainty.

Key Market Segmentation and Companies

Altus Market Research has segmented the global AI in the Drug Discovery market based on component, therapeutic area, technology, application, and region.

• By Component
o Software
o Hardware
o Services

• By Therapeutic Area
o Oncology
o Neurodegenerative Diseases
o Cardiovascular Disease
o Metabolic Diseases
o Infectious Disease

• By Technology
o Machine Learning
o Deep Learning

• By Application
o Target Identification
o Candidate Screening
o De novo Drug Designing
o Drug Optimization and Repurposing
o Preclinical Testing

• By Region
o North America
 US
 Canada
o Latin America
 Brazil
 Mexico
 Rest of Latin America
o Western Europe
 Germany
 UK
 France
 Spain
 Italy
 Benelux
 Nordic
 Rest of Western Europe
o Eastern Europe
 Russia
 Poland
 Rest of Eastern Europe
o Asia Pacific
 China
 Japan
 India
 South Korea
 Australia
 ASEAN (Indonesia, Vietnam, Malaysia, etc.)
 Rest of Asia Pacific
o Middle East & Africa
 GCC
 South Africa
 Turkey
 Rest of the Middle East & Africa

• Leading Companies and Market Players

o Microsoft Corporation
o IBM Corporation
o Google (A Subsidiary of Alphabet Inc.)
o Atomwise Inc
o Deep Genomics
o Cloud Pharmaceuticals Inc.
o Insilico Medicine
o Benevolent AI
o Exscientia
o Cyclica
o Bioage
o BioSymetrics
o Euretos
o Insitro
o GNS Healthcare

Global AI in Drug Discovery Market Analysis and Forecast 2023-2030

Table of Contents

1. Market Introduction
1.1. Scope of Study
1.2. Problem Statement
1.3. Market Segmentation
2. Assumptions and Acronyms
3. Executive Summary
3.1. Global Market in 2023
3.2. Analyst Insights & Recommendations
3.3. Growth Opportunities and Key Strategies
3.4. Supply-side and Demand-side Trends
4. Research Methodology
5. Analysis of COVID-19 Impact and Road Ahead
6. Market Indicators and Background
6.1. Macro-Economic Factors
6.2. Forecasting Factors
6.3. Supply Chain & Value Chain Analysis
6.4. Industry SWOT Analysis
6.5. PESTLE Analysis
6.6. Porter’s Five Forces Analysis
7. Government Laws and Industry Regulations
8. Global and Regional Market Dynamics
8.1. Drivers
8.2. Restraints
8.3. Trends
8.4. Opportunities
9. Parent Market Overview
9.1. Global AI Market
9.2. Global Pharmaceutical Market
10. Segmental Analysis
10.1. Global AI in Drug Discovery Market by Component
10.1.1. Segment Overview
10.1.1.1. Software
10.1.1.2. Hardware
10.1.1.3. Services
10.2. Global AI in Drug Discovery Market by Therapeutic Area
10.2.1. Segment Overview
10.2.1.1. Oncology
10.2.1.2. Neurodegenerative Diseases
10.2.1.3. Cardiovascular Disease
10.2.1.4. Metabolic Diseases
10.2.1.5. Infectious Disease
10.3. Global AI in Drug Discovery Market by Technology
10.3.1. Segment Overview
10.3.1.1. Machine Learning
10.3.1.2. Deep Learning
10.4. Global AI in Drug Discovery Market by Application
10.4.1. Segment Overview
10.4.1.1. Target Identification
10.4.1.2. Candidate Screening
10.4.1.3. De novo Drug Designing
10.4.1.4. Drug Optimization and Repurposing
10.4.1.5. Preclinical Testing
10.5. Global AI in Drug Discovery Market by Region
10.5.1. North America
10.5.2. Latin America
10.5.3. Western Europe
10.5.4. Eastern Europe
10.5.5. Asia Pacific
10.5.6. Middle East & Africa
11. Regional Analysis
11.1. North America AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.1.1. Regional Market Overview and Key Takeaways
11.1.2. North America AI in Drug Discovery Market by Component
11.1.3. North America AI in Drug Discovery Market by Therapeutic Area
11.1.4. North America AI in Drug Discovery Market by Technology
11.1.5. North America AI in Drug Discovery Market by Application
11.1.6. North America AI in Drug Discovery Market by Country
11.1.6.1. US
11.1.6.2. Canada
11.2. Latin America AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.2.1. Regional Market Overview and Key Takeaways
11.2.2. Latin America AI in Drug Discovery Market by Component
11.2.3. Latin America AI in Drug Discovery Market by Therapeutic Area
11.2.4. Latin America AI in Drug Discovery Market by Technology
11.2.5. Latin America AI in Drug Discovery Market by Application
11.2.6. Latin America AI in Drug Discovery Market by Country
11.2.6.1. Brazil
11.2.6.2. Mexico
11.2.6.3. Rest of Latin America
11.3. Western Europe AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.3.1. Regional Market Overview and Key Takeaways
11.3.2. Western Europe AI in Drug Discovery Market by Component
11.3.3. Western Europe AI in Drug Discovery Market by Therapeutic Area
11.3.4. Western Europe AI in Drug Discovery Market by Technology
11.3.5. Western Europe AI in Drug Discovery Market by Application
11.3.6. Western Europe AI in Drug Discovery Market by Country
11.3.6.1. Germany
11.3.6.2. UK
11.3.6.3. France
11.3.6.4. Spain
11.3.6.5. Italy
11.3.6.6. Benelux
11.3.6.7. Nordic
11.3.6.8. Rest of Western Europe
11.4. Eastern Europe AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.4.1. Regional Market Overview and Key Takeaways
11.4.2. Eastern Europe AI in Drug Discovery Market by Component
11.4.3. Eastern Europe AI in Drug Discovery Market by Therapeutic Area
11.4.4. Eastern Europe AI in Drug Discovery Market by Technology
11.4.5. Eastern Europe AI in Drug Discovery Market by Application
11.4.6. Eastern Europe AI in Drug Discovery Market by Country
11.4.6.1. Russia
11.4.6.2. Poland
11.4.6.3. Rest of Eastern Europe
11.5. Asia Pacific AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.5.1. Regional Market Overview and Key Takeaways
11.5.2. Asia Pacific AI in Drug Discovery Market by Component
11.5.3. Asia Pacific AI in Drug Discovery Market by Therapeutic Area
11.5.4. Asia Pacific AI in Drug Discovery Market by Technology
11.5.5. Asia Pacific AI in Drug Discovery Market by Application
11.5.6. Asia Pacific AI in Drug Discovery Market by Country
11.5.6.1. China
11.5.6.2. Japan
11.5.6.3. India
11.5.6.4. South Korea
11.5.6.5. Australia
11.5.6.6. ASEAN
11.5.6.7. Rest of Asia-Pacific
11.6. Middle East & Africa AI in Drug Discovery Market Analysis and Forecast 2023-2030
11.6.1. Regional Market Overview and Key Takeaways
11.6.2. Middle East & Africa AI in Drug Discovery Market by Component
11.6.3. Middle East & Africa AI in Drug Discovery Market by Therapeutic Area
11.6.4. Middle East & Africa AI in Drug Discovery Market by Technology
11.6.5. Middle East & Africa AI in Drug Discovery Market by Application
11.6.6. Middle East & Africa AI in Drug Discovery Market by Country
11.6.6.1. GCC
11.6.6.2. South Africa
11.6.6.3. Turkey
11.6.6.4. Rest of the Middle East & Africa
12. Competitive Landscape
12.1. Competition Dashboard
12.1.1. Global and Regional Market Share Analysis
12.1.2. Market Structure
12.2. Competitive Benchmarking
12.3. Key Strategy Analysis
12.4. Company Profiles
12.4.1. Microsoft Corporation
12.4.1.1. Company Overview
12.4.1.2. Product /Service Offerings
12.4.1.3. Financials
12.4.1.4. Recent Developments
12.4.2. IBM Corporation
12.4.2.1. Company Overview
12.4.2.2. Product /Service Offerings
12.4.2.3. Financials
12.4.2.4. Recent Developments
12.4.3. Google (A Subsidiary of Alphabet Inc.)
12.4.3.1. Company Overview
12.4.3.2. Product /Service Offerings
12.4.3.3. Key Financials
12.4.3.4. Recent Developments
12.4.4. Atomwise Inc
12.4.4.1. Company Overview
12.4.4.2. Product /Service Offerings
12.4.4.3. Key Financials
12.4.4.4. Recent Developments
12.4.5. Deep Genomics
12.4.5.1. Company Overview
12.4.5.2. Product /Service Offerings
12.4.5.3. Financials
12.4.5.4. Recent Developments
12.4.6. Cloud Pharmaceuticals Inc.
12.4.6.1. Company Overview
12.4.6.2. Product /Service Offerings
12.4.6.3. Financials
12.4.6.4. Recent Developments
12.4.7. Insilico Medicine
12.4.7.1. Company Overview
12.4.7.2. Product /Service Offerings
12.4.7.3. Financials
12.4.7.4. Recent Developments
12.4.8. Benevolent AI
12.4.8.1. Company Overview
12.4.8.2. Product /Service Offerings
12.4.8.3. Financials
12.4.8.4. Recent Developments
12.4.9. Exscientia
12.4.9.1. Company Overview
12.4.9.2. Product /Service Offerings
12.4.9.3. Financials
12.4.9.4. Recent Developments
12.4.10. Cyclica
12.4.10.1. Company Overview
12.4.10.2. Product /Service Offerings
12.4.10.3. Financials
12.4.10.4. Recent Developments
12.4.11. Bioage
12.4.11.1. Company Overview
12.4.11.2. Product /Service Offerings
12.4.11.3. Financials
12.4.11.4. Recent Developments
12.4.12. BioSymetrics
12.4.12.1. Company Overview
12.4.12.2. Product /Service Offerings
12.4.12.3. Financials
12.4.12.4. Recent Developments
12.4.13. Euretos
12.4.13.1. Company Overview
12.4.13.2. Product /Service Offerings
12.4.13.3. Financials
12.4.13.4. Recent Developments
12.4.14. Insitro
12.4.14.1. Company Overview
12.4.14.2. Product /Service Offerings
12.4.14.3. Financials
12.4.14.4. Recent Developments
12.4.15. GNS Healthcare
12.4.15.1. Company Overview
12.4.15.2. Product /Service Offerings
12.4.15.3. Financials
12.4.15.4. Recent Developments
A comprehensive list of AI in Drug Discovery brands/manufacturers by country will be provided along with geographical reach, employee count, revenue, Therapeutic Area capacities, and their capabilities.
13. Disclaimer



List of Figures

Research methodology is mainly referring to the practical how of any offered piece of research. More specifically, it’s all about how a researcher systematically designs a study in order to assure extremely valid as well as reliable results that ultimately address the targets and objectives of the research.

In any formal research including academic journal, article, dissertation and so on, there will be a special section on a research methodology that mainly describes what, by whom, how to gather as well as how to evaluate the data are provided.

This research methodology has been segmented into following types:

Primary Research:

It is said to be original information that the researchers collect for the crucial purposes of answering the research questions of readers with the help of surveys, observations and experiments.

Secondary Research:

The secondary research is the data that has already been collected by various other researchers in the form of government analysis or scientific studies.

Qualitative Research:

It is descriptive and subjective method irrespective of facts. Both observation and description are essential in this type of research methodology. Its main vision is to analyze knowledge, attitudes, behaviours as well as opinions of people related to the topic of any research. This method has been operated through grounded research, case study and actionable research.

Quantitative Research:

It contains several laboratory experiments, basic surveys, mathematical calculations, simulations and so on. The possible measurement, quantity or amount is considered to be a major factor in the quantitative research methodology.

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