Artificial Intelligence (AI) In Drug Discovery Market- size, Share Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2030)

“According to the research report, the global artificial intelligence (AI) in drug discovery market is expected to reach USD 11,914 million by 2030 and the market is projected to grow with a significant CAGR of 29.62% from 2022 to 2030”. 

A new business intelligence report released by Precedence Research with the title Global artificial intelligence (AI) in drug discovery market 2022 by Manufacturers, Type and Application, forecast to 2030 is designed with an objective to provide a micro-level analysis of the market. The report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, Research & Development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence (AI) in drug discovery market in conjunction with the geographical landscape of this vertical have also been included in this report.

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The global artificial intelligence (AI) in drug discovery market is the professional and accurate study of various business perspectives such as major key players, key geographies, divers, restraints, opportunities, and challenges. This global research report has been aggregated on the basis of various market segments and sub-segments associated with the global market.

·         Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

MARKET OVERVIEW BY GEOGRAPHY

The report bifurcates the geography into North America, Europe, Asia Pacific and the rest of the world (RoW). This section signifies the performance of the market in each region. The penetration of the market within each region is determined through multiple channels of research and by taking into consideration various factors such as prospective economic or political changes, product/service penetration, and region-wide pricing trends for the product/service, exchange rates, and the information provided by industry experts. Both positive as well as negative changes to the market are taken into consideration for the market estimates. The market size by geography is derived on the basis of the weightages assigned to these markets which are defined by shifts in the economy, ongoing market trends, demographics and competitors.

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COUNTRY FORECAST

The country forecast graph shows the comprehensive analysis on country level market. It also illustrates the market in terms of value generated from sales for the particular year. The drop down permits the year from 2017 to 2030 to compare the values of the countries. The country level forecast dashboard also allows comparing the data between major contributing countries and least participant countries for the each year. This will help client to create strategies to make the most of upcoming growth opportunities globally. Country level growth can accountable for both historical as well as projected market summary, since the development and future opportunities will create market competitors to take their decision according to the previous year’s market evolution. The country forecast data and CAGR will help to understand countries GDP, growing population, growth strategies of each country, and future growth potential on country level. This will help key vendors to identify sustainable growth opportunities in new market.

The study objectives of global market research report:

• To analyze the global artificial intelligence (AI) in drug discovery market on the basis of several business verticals such as drivers, restraints, and opportunities
• It offers detailed elaboration on the global competitive landscape
• To get an informative data of various leading key industries functioning across the global regions
• It offers qualitative and quantitative analysis of the global artificial intelligence (AI) in drug discovery market
• It offers all-inclusive information of global market along with its features, applications, challenges, threats, and opportunities

Market Segmentation:

By Type

• Preclinical and Clinical Testing
• Molecule Screening
• Target Identification
• De Novo Drug Design and Drug Optimization

By Application

• Neurology
• Infectious Disease
• Oncology
• Others

By Drug Type    

• Small Molecules
• Large Molecules

By Offering        

• Software
• Services

By Technology 

• Machine Learning
• Deep Learning
• Supervised Learning
• Reinforcement Learning
• Unsupervised Learning
• Other Machine Learning Technologies
• Other Technologies

By End User

• Pharmaceutical & Biotechnology Companies
• Contract Research Organizations
• Academics & Research
• Others

 By Geography

• North America
• U.S.
• Canada
• Europe
• U.K.
• Germany
• France
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Malaysia
• Philippines
• Latin America
• Brazil
• Rest of Latin America
• Middle East & Africa (MEA)
• GCC
• North Africa
• South Africa
• Rest of the Middle East & Africa

The major key questions addressed through this innovative research report:

1. What are the major challenges in front of the global artificial intelligence (AI) in drug discovery market?
2. Who are the key vendors of the global artificial intelligence (AI) in drug discovery market?
3. What are the leading key industries of the global artificial intelligence (AI) in drug discovery market?
4. Which factors are responsible for driving the global artificial intelligence (AI) in drug discovery market?
5. What are the key outcomes of SWOT and Porter’s five analysis?
6. What are the major key strategies for enhancing global opportunities?
7. What are the different effective sales patterns?
8. What will be the global market size in the forecast period?

Various players operating in the global artificial intelligence (AI) in drug discovery markets are

•  NVIDIA CORPORATION
• Microsoft Corporation
• INSILICO MEDICINE INC.
• Schrödinger
• EXSCIENTIA
• Cloud Pharmaceuticals
• CLOUD PHARMACEUTICAL
• TOMWISE, INC

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. End User Procurement Analysis 

4.3.2. Sales and Distribution Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) In Drug Discovery Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) In Drug Discovery Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) In Drug Discovery Market, By Type

8.1. Artificial Intelligence (AI) In Drug Discovery Market, by Type, 2022-2030

8.1.1. Preclinical and Clinical Testing

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Molecule Screening

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Target Identification

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. De Novo Drug Design and Drug Optimization

8.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) In Drug Discovery Market, By Application

9.1. Artificial Intelligence (AI) In Drug Discovery Market, by Application, 2022-2030

9.1.1. Neurology

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Infectious Disease

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Oncology

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Others

9.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) In Drug Discovery Market, By Drug Type

10.1. Artificial Intelligence (AI) In Drug Discovery Market, by Drug Type, 2022-2030

10.1.1. Small Molecules

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Large Molecules

10.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) In Drug Discovery Market, By Offering

11.1. Artificial Intelligence (AI) In Drug Discovery Market, by Offering, 2022-2030

11.1.1. Software

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Services

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Artificial Intelligence (AI) In Drug Discovery Market, By Technology

12.1. Artificial Intelligence (AI) In Drug Discovery Market, by Technology, 2022-2030

12.1.1. Machine Learning

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Other Technologies

12.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Artificial Intelligence (AI) In Drug Discovery Market, By End User

13.1. Artificial Intelligence (AI) In Drug Discovery Market, by End User, 2022-2030

13.1.1. Pharmaceutical & Biotechnology Companies

13.1.1.1. Market Revenue and Forecast (2017-2030)

13.1.2. Contract Research Organizations

13.1.2.1. Market Revenue and Forecast (2017-2030)

13.1.3. Academics & Research

13.1.3.1. Market Revenue and Forecast (2017-2030)

13.1.4. Others

13.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 14. Global Artificial Intelligence (AI) In Drug Discovery Market, Regional Estimates and Trend Forecast

14.1. North America

14.1.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.2. Market Revenue and Forecast, by Application (2017-2030)

14.1.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.1.4. Market Revenue and Forecast, by Offering (2017-2030)

14.1.5. Market Revenue and Forecast, by Technology (2017-2030)

14.1.6. Market Revenue and Forecast, by End User (2017-2030)

14.1.7. U.S.

14.1.7.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.7.2. Market Revenue and Forecast, by Application (2017-2030)

14.1.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.1.7.4. Market Revenue and Forecast, by Offering (2017-2030)

14.1.8. Market Revenue and Forecast, by Technology (2017-2030)

14.1.8.1. Market Revenue and Forecast, by End User (2017-2030) 

14.1.9. Rest of North America

14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.1.9.2. Market Revenue and Forecast, by Application (2017-2030)

14.1.9.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.1.9.4. Market Revenue and Forecast, by Offering (2017-2030)

14.1.10. Market Revenue and Forecast, by Technology (2017-2030)

14.1.11. Market Revenue and Forecast, by End User (2017-2030)

14.1.11.1.

14.2. Europe

14.2.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.2. Market Revenue and Forecast, by Application (2017-2030)

14.2.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.2.4. Market Revenue and Forecast, by Offering (2017-2030) 

14.2.5. Market Revenue and Forecast, by Technology (2017-2030)

14.2.6. Market Revenue and Forecast, by End User (2017-2030)

14.2.7.

14.2.8. UK

14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.8.2. Market Revenue and Forecast, by Application (2017-2030)

14.2.8.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.2.9. Market Revenue and Forecast, by Offering (2017-2030) 

14.2.10. Market Revenue and Forecast, by Technology (2017-2030)

14.2.10.1. Market Revenue and Forecast, by End User (2017-2030) 

14.2.11. Germany

14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.11.2. Market Revenue and Forecast, by Application (2017-2030)

14.2.11.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.2.12. Market Revenue and Forecast, by Offering (2017-2030)

14.2.13. Market Revenue and Forecast, by Technology (2017-2030)

14.2.14. Market Revenue and Forecast, by End User (2017-2030)

14.2.14.1.

14.2.15. France

14.2.15.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.15.2. Market Revenue and Forecast, by Application (2017-2030)

14.2.15.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.2.15.4. Market Revenue and Forecast, by Offering (2017-2030)

14.2.16. Market Revenue and Forecast, by Technology (2017-2030)

14.2.16.1. Market Revenue and Forecast, by End User (2017-2030)

14.2.17. Rest of Europe

14.2.17.1. Market Revenue and Forecast, by Type (2017-2030)

14.2.17.2. Market Revenue and Forecast, by Application (2017-2030)

14.2.17.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.2.17.4. Market Revenue and Forecast, by Offering (2017-2030)

14.2.18. Market Revenue and Forecast, by Technology (2017-2030)

14.2.18.1. Market Revenue and Forecast, by End User (2017-2030)

14.3. APAC

14.3.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.2. Market Revenue and Forecast, by Application (2017-2030)

14.3.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.3.4. Market Revenue and Forecast, by Offering (2017-2030)

14.3.5. Market Revenue and Forecast, by Technology (2017-2030)

14.3.6. Market Revenue and Forecast, by End User (2017-2030)

14.3.7. India

14.3.7.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.7.2. Market Revenue and Forecast, by Application (2017-2030)

14.3.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.3.7.4. Market Revenue and Forecast, by Offering (2017-2030)

14.3.8. Market Revenue and Forecast, by Technology (2017-2030)

14.3.9. Market Revenue and Forecast, by End User (2017-2030)

14.3.10. China

14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.10.2. Market Revenue and Forecast, by Application (2017-2030)

14.3.10.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.3.10.4. Market Revenue and Forecast, by Offering (2017-2030)

14.3.11. Market Revenue and Forecast, by Technology (2017-2030)

14.3.11.1. Market Revenue and Forecast, by End User (2017-2030)

14.3.12. Japan

14.3.12.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.12.2. Market Revenue and Forecast, by Application (2017-2030)

14.3.12.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.3.12.4. Market Revenue and Forecast, by Offering (2017-2030)

14.3.12.5. Market Revenue and Forecast, by Technology (2017-2030)

14.3.12.6. Market Revenue and Forecast, by End User (2017-2030)

14.3.13. Rest of APAC

14.3.13.1. Market Revenue and Forecast, by Type (2017-2030)

14.3.13.2. Market Revenue and Forecast, by Application (2017-2030)

14.3.13.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.3.13.4. Market Revenue and Forecast, by Offering (2017-2030)

14.3.13.5. Market Revenue and Forecast, by Technology (2017-2030)

14.3.13.6. Market Revenue and Forecast, by End User (2017-2030)

14.4. MEA

14.4.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.2. Market Revenue and Forecast, by Application (2017-2030)

14.4.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.4.4. Market Revenue and Forecast, by Offering (2017-2030)

14.4.5. Market Revenue and Forecast, by Technology (2017-2030)

14.4.6. Market Revenue and Forecast, by End User (2017-2030)

14.4.7. GCC

14.4.7.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.7.2. Market Revenue and Forecast, by Application (2017-2030)

14.4.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.4.7.4. Market Revenue and Forecast, by Offering (2017-2030)

14.4.8. Market Revenue and Forecast, by Technology (2017-2030)

14.4.9. Market Revenue and Forecast, by End User (2017-2030)

14.4.10. North Africa

14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.10.2. Market Revenue and Forecast, by Application (2017-2030)

14.4.10.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.4.10.4. Market Revenue and Forecast, by Offering (2017-2030)

14.4.11. Market Revenue and Forecast, by Technology (2017-2030)

14.4.12. Market Revenue and Forecast, by End User (2017-2030)

14.4.13. South Africa

14.4.13.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.13.2. Market Revenue and Forecast, by Application (2017-2030)

14.4.13.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.4.13.4. Market Revenue and Forecast, by Offering (2017-2030)

14.4.13.5. Market Revenue and Forecast, by Technology (2017-2030)

14.4.13.6. Market Revenue and Forecast, by End User (2017-2030)

14.4.14. Rest of MEA

14.4.14.1. Market Revenue and Forecast, by Type (2017-2030)

14.4.14.2. Market Revenue and Forecast, by Application (2017-2030)

14.4.14.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.4.14.4. Market Revenue and Forecast, by Offering (2017-2030)

14.4.14.5. Market Revenue and Forecast, by Technology (2017-2030)

14.4.14.6. Market Revenue and Forecast, by End User (2017-2030)

14.5. Latin America

14.5.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.2. Market Revenue and Forecast, by Application (2017-2030)

14.5.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.5.4. Market Revenue and Forecast, by Offering (2017-2030)

14.5.5. Market Revenue and Forecast, by Technology (2017-2030)

14.5.6. Market Revenue and Forecast, by End User (2017-2030)

14.5.7. Brazil

14.5.7.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.7.2. Market Revenue and Forecast, by Application (2017-2030)

14.5.7.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.5.7.4. Market Revenue and Forecast, by Offering (2017-2030)

14.5.8. Market Revenue and Forecast, by Technology (2017-2030)

14.5.8.1. Market Revenue and Forecast, by End User (2017-2030)

14.5.9. Rest of LATAM

14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)

14.5.9.2. Market Revenue and Forecast, by Application (2017-2030)

14.5.9.3. Market Revenue and Forecast, by Drug Type (2017-2030)

14.5.9.4. Market Revenue and Forecast, by Offering (2017-2030)

14.5.9.5. Market Revenue and Forecast, by Technology (2017-2030)

14.5.9.6. Market Revenue and Forecast, by End User (2017-2030)

Chapter 15. Company Profiles

15.1. NVIDIA CORPORATION

15.1.1. Company Overview

15.1.2. Product Offerings

15.1.3. Financial Performance

15.1.4. Recent Initiatives

15.2. Microsoft Corporation

15.2.1. Company Overview

15.2.2. Product Offerings

15.2.3. Financial Performance

15.2.4. Recent Initiatives

15.3. INSILICO MEDICINE INC.

15.3.1. Company Overview

15.3.2. Product Offerings

15.3.3. Financial Performance

15.3.4. Recent Initiatives

15.4. Schrödinger

15.4.1. Company Overview

15.4.2. Product Offerings

15.4.3. Financial Performance

15.4.4. Recent Initiatives

15.5. EXSCIENTIA

15.5.1. Company Overview

15.5.2. Product Offerings

15.5.3. Financial Performance

15.5.4. Recent Initiatives

15.6. Cloud Pharmaceuticals

15.6.1. Company Overview

15.6.2. Product Offerings

15.6.3. Financial Performance

15.6.4. Recent Initiatives

15.7. TOMWISE, INC

15.7.1. Company Overview

15.7.2. Product Offerings

15.7.3. Financial Performance

15.7.4. Recent Initiatives

Chapter 16. Research Methodology

16.1. Primary Research

16.2. Secondary Research

16.3. Assumptions

Chapter 17. Appendix

17.1. About Us

17.2. Glossary of Terms

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