Artificial Intelligence in the Drug Discovery Market

Dublin, March 11, 2022 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Drug Discovery Market Share, Size, Trends, Industry Analysis Report, By Application; By Therapeutic Area; By Offer; By Technology; By Region; Segment Forecast, 2022- 2029″ report has been added to from ResearchAndMarkets.com offer.

The Global Artificial Intelligence in Drug Discovery Market Size is Expected to Reach USD 5,558.0 Million by 2029

Artificial intelligence (AI) uses complex algorithms and machine learning to acquire important insights from huge datasets. For example, AI uses RNA sequencing data to recognize genes whose expression correlates with a given cellular condition.

He uses the most recent advances in biology to create state-of-the-art drug discovery algorithms. The increase in computer processing power, the development of advanced algorithms, and the availability of large datasets are the major drivers that have led to developments in machine learning.

Application-based, Global Artificial Intelligence (AI) in Drug Discovery Market is grouped into Drug Optimization & Repurposing, Preclinical Testing, and others. The optimization and reassignment segment accounted for the largest share of industry revenue, as it is economical and only demands electronic medical records (EMR) for medication reassignment.

Based on therapeutic areas, the global market is categorized into oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, infectious diseases, and others. The oncology segment accounted for the largest share of revenue in 2020 as it deals with the diagnosis and prevention of cancer.

Some pharmaceutical companies are focusing on integrating artificial intelligence into drug discovery and development. For example, Pfizer has partnered with IBM Watson Health, an AI platform, to increase its research into immuno-oncology treatments. Sanofi has partnered with Exscientia to discover therapies for metabolic diseases.

Companies in the sector are engaged in collaborations and expansions with several market platform providers to develop medical treatments.

The story continues

Key players operating in the global market include

Main topics covered:

1. Introduction
1.1. Description of the report
1.2. Stakeholders

2. Executive Summary
2.1. Market Highlights

3. Research methodology
3.1. Overview
3.1.1. Data mining
3.2. Data sources
3.2.1. Primary sources
3.2.2. Secondary sources

4. Global Artificial Intelligence in Drug Discovery Market Outlook
4.1. Artificial Intelligence in Drug Discovery – Industry Overview
4.2. Artificial Intelligence in Drug Discovery Market Dynamics
4.2.1. Drivers and Opportunities
4.2.1.1. Technological advances in AI
4.2.1.2. Growing industrial partnerships and collaborations
4.2.2. Constraints and challenges
4.2.2.1. Inadequate accessibility of datasets
4.2.3. Porter’s Five Forces Analysis
4.2.4. PESTLE analysis
4.2.5. Artificial Intelligence in Drug Discovery Industry Trends
4.2.6. COVID-19 Impact Analysis

5. Global Artificial Intelligence in Drug Discovery Market, By Application
5.1. Main findings
5.2. introduction
5.2.1. Global Artificial Intelligence in Drug Discovery Market, by Application, 2017-2029 (USD Million)
5.3. Medication optimization and reallocation
5.4. Preclinical trials

6. Global Artificial Intelligence in Drug Discovery Market, By Therapeutic Area
6.1. Main conclusions
6.2. introduction
6.2.1. Global Artificial Intelligence in Drug Discovery Market, by Therapeutic Area, 2017-2029 (USD Million)
6.3. Oncology
6.4. Neurodegenerative diseases
6.5. Heart disease
6.6. Metabolic diseases
6.7. Infectious disease

7. Global Artificial Intelligence in Drug Discovery Market, By Supply
7.1. Main findings
7.2. introduction
7.2.1. Global Artificial Intelligence in Drug Discovery Market, By Offer, 2017-2029 (USD Million)
7.3. Software
7.4. Services

8. Global Artificial Intelligence in Drug Discovery Market, By Technology
8.1. Main conclusions
8.2. introduction
8.2.1. Global Artificial Intelligence in Drug Discovery Market, by Technology, 2017-2029 (USD Million)
8.3. machine learning
8.3.1. Global Artificial Intelligence in Drug Discovery Market, by Machine Learning, by Region, 2017-2029 (USD Million)
8.3.2. deep learning
8.3.3. Supervised teaching
8.3.4. Reinforcement learning
8.3.5. Unsupervised learning

9. Global Artificial Intelligence in Drug Discovery Market, By Geography
9.1. Main conclusions
9.2. introduction
9.2.1. Artificial Intelligence in Drug Discovery Market Assessment, by Geography, 2017-2029 (USD Million)

10. Competitive Landscape
10.1. Expansion and acquisition analysis
10.2. Partnerships/Collaborations/Agreements/Exhibitions

11. Company Profiles
11.1. Company presentation
11.2. Financial performance
11.3. Product Benchmarking
11.4. RECENT DEVELOPMENTS

For more information on this report, visit https://www.researchandmarkets.com/r/otwohm

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