Market Definition

Artificial intelligence is the simulation of human intelligence in machines which are designed to think similar to humans and copy their activity. This gives potential to change the pharmaceutical industry as well many pharma competitors are now investing in this technology at some level. There is a significant growth in the number of applications which focuses on the target and drug discovery, preclinical and clinical development, and post approval activities. Artificial intelligence will help in developing the drug approval rates, minimize development costs, swift availability of medications and help patients follow with their treatments. The global AI in the drug discovery market has a high demand because of its increasing requirement to shorten the drug discovery process in order to get drugs rapidly for treating various incurable and viral diseases. 

To use the opportunity of diversifying the drug pipelines, AI enabled prediction tools can improve the accuracy, speed and preclinical testing and also it can open new research leads by assist more competitive R&D strategies. Failure to demonstrate value compared to available therapies is a key factor undermining clinical trial progression. Finding latest niches of competitive advantage could reduce withdrawals and improve asset sales.

The global AI in Drug Discovery Market  is segregated on the basis of Components as Software and Services. Based on Technology the global AI in the drug discovery market is segmented in Machine Learning, Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning, and Other Technologies. Based on Application the global AI in the drug discovery market is segmented in Immuno-oncology, Neurodegenerative Diseases, Cardiovascular Diseases, Metabolic Diseases, and Other Applications. Based on End User, the global AI in the drug discovery market is segmented into Pharmaceutical & Biotechnology Companies, Contract Research Organizations, and Research Centers, Academic & Government Institutes.

Report Scope

The global AI in the AI in Drug Discovery Market report scope includes a detailed study covering underlying factors influencing the industry trends. The report covers analysis of regional and country-level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes a detailed competitive outlook covering market shares and profiles key participants in the market share.

Major Market Players

IBM Corporation, Microsoft Corporation, Google Inc., NVIDIA Corporation, Pfizer, Merck, GSK, Novartis, AstraZeneca, Abbvie, Elli Lilly, Atomwise, Inc, Deep Genomics, Cloud, Pharmaceuticals, Exscientia, Cyclica,Numerate, Envisagenics, OWKIN, Inc.,Verge Genomics and others are the major key players in the global AI in the drug discovery market.

The AI in drug discovery market report has been categorized as below

By Component

  • Software
  • Services

By Technology

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

By Application

  • Immuno-oncology
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Metabolic Diseases
  • Other Applications

By End User

  • Pharmaceutical & Biotechnology Companies
  • Contract Research Organizations
  • Research Centers, Academic & Government Institutes

By Region

  • Europe
  • North America
  • Asia Pacific
  • Rest of The World

The years considered for the global AI in drug discovery market study are as follows:

  • Base year - 2020
  • Estimated year - 2021
  • Projected year - 2022
  • Forecast period - 2022 to 2027

Key Questions Addressed by the Report

  • New products/service competitors are exploring?
  • Key players in the vitamin AI in Drug Discovery market and how intense is the competition?
  • What are the upcoming industry trends that manufacturers are focusing on in the future updates?
  • For each segment, what are the significant opportunities in the market?
  • What are the key growth strategies adopted by major market players in the market?
  • What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

  • Gain comprehensive insights on the AI in Drug Discovery Market trends
  • Note complete analysis of the market status
  • Recognize the market opportunities and growth segments
  • Evaluating business segments & product portfolios, and interpret competitive dynamics
  • Facilitate strategy planning and industry dynamics to strengthen decision making

Report Table Of Content

1. AI in Drug Discovery Market Introduction

1.1 Key Insights

1.2 Report Overview

1.3 Markets Covered

1.4 Stakeholders

2. Research Methodology

2.1 Research Scope

2.2 Market Research Process

2.3 Research Data Analysis

2.4.1 Secondary Research

2.4.2 Primary Research

2.4.3 Models for Estimation

2.5 Market Size Estimation

2.5.1 Bottom-Up Approach - Segmental Market Analysis

2.5.2 Top-Down Approach - Parent Market Analysis

3. Executive Summary

4. Market Overview

4.1 Introduction

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.2.4 Challenges

4.2 Porter's Five Force Analysis

5. AI in drug discovery Market, By Component

5.1 Introduction

5.2 Software

5.2.1 Market Overview

5.2.2 Market Size and Forecast

5.3 Services

5.3.1 Market Overview

5.3.2 Market Size and Forecast

6. AI in drug discovery Market, By Technology

6.1 Introduction

6.2 Machine Learning

6.2.1 Market Overview

6.2.2 Market Size and Forecast

6.3 Deep Learning

6.3.1 Market Overview

6.3.2 Market Size and Forecast

6.4 Supervised Learning

6.4.1 Market Overview

6.4.2 Market Size and Forecast

6.5 Reinforcement Learning

6.5.1 Market Overview

6.5.2 Market Size and Forecast

6.6 Unsupervised Learning

6.6.1 Market Overview

6.6.2 Market Size and Forecast

6.7 Other Machine Learning

6.7.1 Market Overview

6.7.2 Market Size and Forecast

6.8 Other Technologies

6.8.1 Market Overview

6.8.2 Market Size and Forecast

7. AI in drug discovery Market, By Application

7.1 Introduction

7.2 Immuno-oncology

7.2.1 Market Overview

7.2.2 Market Size and Forecast

7.3 Neurodegenerative Diseases

7.3.1 Market Overview

7.3.2 Market Size and Forecast

7.4 Cardiovascular Diseases

7.4.1 Market Overview

7.4.2 Market Size and Forecast

7.5 Metabolic Diseases

7.5.1 Market Overview

7.5.2 Market Size and Forecast

7.6 Other Applications

7.6.1 Market Overview

7.6.2 Market Size and Forecast

8. AI in drug discovery Market, By End User

8.1 Introduction

8.2 Pharmaceutical & Biotechnology Companies

8.2.1 Market Overview

8.2.2 Market Size and Forecast

8.3 Contract Research Organizations

8.3.1 Market Overview

8.3.2 Market Size and Forecast

8.4 Research Centers, Academic & Government Institutes

8.4.1 Market Overview

8.4.2 Market Size and Forecast

9. AI in drug discovery Market, By Geography

9.1 Introduction

9.2 Europe

9.2.1 Europe AI in drug discovery, By Component

9.2.2 Europe AI in drug discovery, By Technology

9.2.3 Europe AI in drug discovery, By Application

9.2.4 Europe AI in drug discovery, By End User

9.3 North America

9.3.1 North America AI in drug discovery, By Component

9.3.2 North America AI in drug discovery, By Technology

9.3.3 North America AI in drug discovery, By Application

9.3.4 North America AI in drug discovery, By End User

9.4 Asia Pacific

9.4.1 Asia Pacific AI in drug discovery, By Component

9.4.2 Asia Pacific AI in drug discovery, By Technology

9.4.3 Asia Pacific AI in drug discovery, By Application

9.4.4 Asia Pacific AI in drug discovery, By End User

9.5 Rest of The World

9.5.1 Rest of The World AI in drug discovery, By Component

9.5.2 Rest of The World AI in drug discovery, By Technology

9.5.3 Rest of The World AI in drug discovery, By Application

9.5.4 Rest of The World AI in drug discovery, By End User

10. Competitive Insights

10.1 Key Insights

10.2 Company Market Share Analysis

10.3 Strategic Outlook

10.3.1 Mergers & Acquisitions

10.3.2 New Product Development

10.3.3 Portfolio/Production Capacity Expansions

10.3.4 Joint Ventures, Collaborations, Partnerships & Agreements 

10.3.5 Others

11. Company Profiles

(Company Profiles includes Company Overview, Product/Service Landscape, Financial Overview)

11.1 IBM Corporation

11.1.1. Company Overview

11.1.2. Financial Highlights

11.1.3. Product/Services

11.1.4. Recent Developments

11.2 Microsoft Corporation

11.2.1. Company Overview

11.2.2. Financial Highlights

11.2.3. Product/Services

11.2.4. Recent Developments

11.3 Google Inc

11.3.1. Company Overview

11.3.2. Financial Highlights

11.3.3. Product/Services

11.3.4. Recent Developments

11.4 NVIDIA Corporation

11.4.1. Company Overview

11.4.2. Financial Highlights

11.4.3. Product/Services

11.4.4. Recent Developments

11.5 Pfizer, Merck

11.5.1. Company Overview

11.5.2. Financial Highlights

11.5.3. Product/Services

11.5.4. Recent Developments

11.6 GSK

11.6.1. Company Overview

11.6.2. Financial Highlights

11.6.3. Product/Services

11.6.4. Recent Developments

11.7 Novartis

11.7.1. Company Overview

11.7.2. Financial Highlights

11.7.3. Product/Services

11.7.4. Recent Developments

11.8 AstraZeneca

11.8.1. Company Overview

11.8.2. Financial Highlights

11.8.3. Product/Services

11.8.4. Recent Developments

11.9 Abbvie

11.9.1. Company Overview

11.9.2. Financial Highlights

11.9.3. Product/Services

11.9.4. Recent Developments

11.10 Elli Lilly

11.10.1. Company Overview

11.10.2. Financial Highlights

11.10.3. Product/Services

11.10.4. Recent Developments

11.11 Atomwise, Inc

11.11.1. Company Overview

11.11.2. Financial Highlights

11.11.3. Product/Services

11.11.4. Recent Developments

11.12 Deep Genomics

11.12.1. Company Overview

11.12.2. Financial Highlights

11.12.3. Product/Services

11.12.4. Recent Developments

11.13 Cloud Pharmaceuticals

11.13.1. Company Overview

11.13.2. Financial Highlights

11.13.3. Product/Services

11.13.4. Recent Developments

11.14 Exscientia

11.14.1. Company Overview

11.14.2. Financial Highlights

11.14.3. Product/Services

11.14.4. Recent Developments

11.15 Cyclica

11.15.1. Company Overview

11.15.2. Financial Highlights

11.15.3. Product/Services

11.15.4. Recent Developments

11.16 Numerate

11.16.1. Company Overview

11.16.2. Financial Highlights

11.16.3. Product/Services

11.16.4. Recent Developments

11.17 Envisagenics

11.17.1. Company Overview

11.17.2. Financial Highlights

11.17.3. Product/Services

11.17.4. Recent Developments

The AI in drug discovery market report has been categorized as below

By Component

  • Software
  • Services

By Technology

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

By Application

  • Immuno-oncology
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Metabolic Diseases
  • Other Applications

By End User

  • Pharmaceutical & Biotechnology Companies
  • Contract Research Organizations
  • Research Centers, Academic & Government Institutes

By Region

  • Europe
  • North America
  • Asia Pacific
  • Rest of The World

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