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Global Artificial Intelligence for Drug Discovery Market -Global Trends and Forecasts(2025 to 2034)

Publisher Factview Research
Published Nov 02, 2025
Length 104 Pages
SKU # FAVR20572958

Description

Artificial Intelligence for Drug Discovery Market Size And Forecast

According to Factview Research, the Global Artificial Intelligence for Drug Discovery Market was valued at USD 246.081 Million in 2024 and is projected to reach USD 5820.18.81 Million by 2034, growing at a CAGR of 41.9% from 2025 to 2034.

Global Artificial Intelligence for Drug Discovery Market Outlook

The growing incidences of the rare diseases and in response requirement for the personalized drugs is the major factor contributing to propel the market growth. In addition, AI for drug discovery reduces the cost associated with R&D activities and risks down the failure rate of clinical trials are some other factors that accelerate the market. Moreover, the increasing cross-industry collaboration and partnership led to imposing positive factors on market growth. However, the high cost of AI implementation and limited awareness are factors responsible for hampering the market growth.

Global Artificial Intelligence for Drug Discovery Market Competitive Landscape

The Global Artificial Intelligence for Drug Discovery Market study report will provide a valuable insight with an emphasis on Global market including some of the major players such as NVIDIA Corporation, Deep Genomics, IBM Corporation, Cloud Pharmaceuticals, Microsoft, Google, Atomwise, Inc., Insilico Medicine, BenevolentAI, and Exscientia.

Table of Contents

104 Pages
1 Introduction Of Global Artificial Intelligence For Drug Discovery Market
1.1 Overview Of The Market
1.2 Scope Of Report
1.3 Assumptions
2 Executive Summary
3 Research Methodology Of Factview Research
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List Of Data Sources
4 Global Artificial Intelligence For Drug Discovery Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 Global Artificial Intelligence For Drug Discovery Market, By Technology
5.1 Overview
5.2 Machine Learning
5.2.1 Deep Learning
5.2.2 Supervised Learning
5.2.3 Reinforcement Learning
5.2.4 Others
5.3 Others
6 Global Artificial Intelligence For Drug Discovery Market, By Application
6.1 Overview
6.2 Cardiovascular Diseases
6.3 Immuno-oncology
6.4 Metabolic Diseases
6.5 Neurodegenerative Diseases
6.6 Others
7 Global Artificial Intelligence For Drug Discovery Market, By End-user
7.1 Overview
7.2 Contract Research Organizations
7.3 Pharmaceutical &Amp; Biotechnology Companies
7.4 Research Centers And Academic &Amp; Government Institutes
8 Global Artificial Intelligence For Drug Discovery Market, By Geography
8.1 Overview
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 Germany
8.3.2 U.K.
8.3.3 France
8.3.4 Rest Of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest Of Asia Pacific
8.5 Rest Of The World
8.5.1 Latin America
8.5.2 Middle East
9 Global Artificial Intelligence For Drug Discovery Market Competitive Landscape
9.1 Overview
9.2 Company Market Ranking
9.3 Key Development Strategies
10 Company Profiles
10.1 Nvidia Corporation
10.1.1 Overview
10.1.2 Financial Performance
10.1.3 Product Outlook
10.1.4 Key Developments
10.2 Deep Genomics
10.2.1 Overview
10.2.2 Financial Performance
10.2.3 Product Outlook
10.2.4 Key Developments
10.3 Ibm Corporation
10.3.1 Overview
10.3.2 Financial Performance
10.3.3 Product Outlook
10.3.4 Key Developments
10.4 Cloud Pharmaceuticals
10.4.1 Overview
10.4.2 Financial Performance
10.4.3 Product Outlook
10.4.4 Key Developments
10.5 Microsoft
10.5.1 Overview
10.5.2 Financial Performance
10.5.3 Product Outlook
10.5.4 Key Developments
10.6 Google
10.6.1 Overview
10.6.2 Financial Performance
10.6.3 Product Outlook
10.6.4 Key Developments
10.7 Atomwise, Inc.
10.7.1 Overview
10.7.2 Financial Performance
10.7.3 Product Outlook
10.7.4 Key Developments
10.8 Insilico Medicine
10.8.1 Overview
10.8.2 Financial Performance
10.8.3 Product Outlook
10.8.4 Key Developments
10.9 Benevolentai
10.9.1 Overview
10.9.2 Financial Performance
10.9.3 Product Outlook
10.9.4 Key Developments
10.10 Exscientia
10.10.1 Overview
10.10.2 Financial Performance
10.10.3 Product Outlook
10.10.4 Key Developments
11 Appendix
11.1 Related Research

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