Industry: Service & Software
Published Date: 2025-03-26
Pages: 99 Pages
Report ld: 4693295
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Machine Learning Assisted Drug Discovery Market Size(US$)

CAGR 2025-2031
18.9%
Market Size,2031
USD 4,204
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Machine Learning Assisted Drug Discovery was valued at US$ 1250 million in the year 2024 and is projected to reach a revised size of US$ 4204 million by 2031, growing at a CAGR of 18.9% during the forecast period.
Machine learning assisted drug discovery is an interdisciplinary technology that combines multiple fields such as data science, artificial intelligence, and biomedical science. Its aim is to extract useful information from large amounts of data through algorithms and models to accelerate the process of drug discovery. Common types include supervised learning, unsupervised learning, semi supervised learning, and reinforcement learning. Machine learning assisted drug discovery is widely used in target discovery and validation, drug design and optimization, drug screening and sorting, disease modeling and prediction, drug side effect prediction, and other fields.
The global market size for machine learning assisted drug discovery is constantly growing, driven by research and development needs, technological advancements, policy support, and capital investment. Traditional drug development takes an average of 10-15 years and is extremely costly, while machine learning technology can significantly shorten the development cycle and reduce costs. The breakthroughs in technologies such as deep learning and generative AI have made the application of machine learning in drug development more precise and efficient. In addition, governments around the world actively promote the application of machine learning and other technologies in the pharmaceutical industry, and pharmaceutical companies are very active in financing in the field of artificial intelligence, which has promoted market development. International companies such as Exscientia, BenevolentAI, Insilico Medicine are leading in technology research and commercialization, while Chinese companies such as Fosun Pharma and Xtalpi are gradually occupying a place in the global market through technological innovation and capital support. In the future, machine learning will be deeply integrated with technologies such as quantum computing and bioinformatics to further enhance the efficiency and accuracy of drug development. By analyzing patient genomic data, personalized drugs can be developed for specific populations. The popularization of open source models and low-cost computing power will lower the threshold for drug development and promote more small and medium-sized enterprises to participate in innovation. Meanwhile, machine learning will play a greater role in patient stratification, trial design, and other aspects, improving the success rate of clinical trials.
This report aims to provide a comprehensive presentation of the global market for Machine Learning Assisted Drug Discovery, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning Assisted Drug Discovery.
The Machine Learning Assisted Drug Discovery market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Machine Learning Assisted Drug Discovery market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Machine Learning Assisted Drug Discovery companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning Assisted Drug Discovery company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
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TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Assisted Drug Discovery Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Supervised Learning
1.2.3 Unsupervised Learning
1.2.4 Semi Supervised Learning
1.2.5 Reinforcement Learning
1.3 Market by Application
1.3.1 Global Machine Learning Assisted Drug Discovery Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Target Discovery And Validation
1.3.3 Drug Design And Optimization
1.3.4 Drug Screening And Sorting
1.3.5 Disease Modeling And Prediction
1.3.6 Prediction Of Drug Side Effects
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Assisted Drug Discovery Market Perspective (2020-2031)
2.2 Global Machine Learning Assisted Drug Discovery Growth Trends by Region
2.2.1 Global Machine Learning Assisted Drug Discovery Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Machine Learning Assisted Drug Discovery Historic Market Size by Region (2020-2025)
2.2.3 Machine Learning Assisted Drug Discovery Forecasted Market Size by Region (2026-2031)
2.3 Machine Learning Assisted Drug Discovery Market Dynamics
2.3.1 Machine Learning Assisted Drug Discovery Industry Trends
2.3.2 Machine Learning Assisted Drug Discovery Market Drivers
2.3.3 Machine Learning Assisted Drug Discovery Market Challenges
2.3.4 Machine Learning Assisted Drug Discovery Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Assisted Drug Discovery Players by Revenue
3.1.1 Global Top Machine Learning Assisted Drug Discovery Players by Revenue (2020-2025)
3.1.2 Global Machine Learning Assisted Drug Discovery Revenue Market Share by Players (2020-2025)
3.2 Global Top Machine Learning Assisted Drug Discovery Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Machine Learning Assisted Drug Discovery Revenue
3.4 Global Machine Learning Assisted Drug Discovery Market Concentration Ratio
3.4.1 Global Machine Learning Assisted Drug Discovery Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Assisted Drug Discovery Revenue in 2024
3.5 Global Key Players of Machine Learning Assisted Drug Discovery Head office and Area Served
3.6 Global Key Players of Machine Learning Assisted Drug Discovery, Product and Application
3.7 Global Key Players of Machine Learning Assisted Drug Discovery, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Assisted Drug Discovery Breakdown Data by Type
4.1 Global Machine Learning Assisted Drug Discovery Historic Market Size by Type (2020-2025)
4.2 Global Machine Learning Assisted Drug Discovery Forecasted Market Size by Type (2026-2031)
5 Machine Learning Assisted Drug Discovery Breakdown Data by Application
5.1 Global Machine Learning Assisted Drug Discovery Historic Market Size by Application (2020-2025)
5.2 Global Machine Learning Assisted Drug Discovery Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Machine Learning Assisted Drug Discovery Market Size (2020-2031)
6.2 North America Machine Learning Assisted Drug Discovery Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Machine Learning Assisted Drug Discovery Market Size by Country (2020-2025)
6.4 North America Machine Learning Assisted Drug Discovery Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Assisted Drug Discovery Market Size (2020-2031)
7.2 Europe Machine Learning Assisted Drug Discovery Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Machine Learning Assisted Drug Discovery Market Size by Country (2020-2025)
7.4 Europe Machine Learning Assisted Drug Discovery Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning Assisted Drug Discovery Market Size (2020-2031)
8.2 Asia-Pacific Machine Learning Assisted Drug Discovery Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Machine Learning Assisted Drug Discovery Market Size by Region (2020-2025)
8.4 Asia-Pacific Machine Learning Assisted Drug Discovery Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning Assisted Drug Discovery Market Size (2020-2031)
9.2 Latin America Machine Learning Assisted Drug Discovery Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Machine Learning Assisted Drug Discovery Market Size by Country (2020-2025)
9.4 Latin America Machine Learning Assisted Drug Discovery Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Assisted Drug Discovery Market Size (2020-2031)
10.2 Middle East & Africa Machine Learning Assisted Drug Discovery Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Machine Learning Assisted Drug Discovery Market Size by Country (2020-2025)
10.4 Middle East & Africa Machine Learning Assisted Drug Discovery Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Merck
11.1.1 Merck Company Details
11.1.2 Merck Business Overview
11.1.3 Merck Machine Learning Assisted Drug Discovery Introduction
11.1.4 Merck Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.1.5 Merck Recent Development
11.2 Roche
11.2.1 Roche Company Details
11.2.2 Roche Business Overview
11.2.3 Roche Machine Learning Assisted Drug Discovery Introduction
11.2.4 Roche Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.2.5 Roche Recent Development
11.3 Pfizer
11.3.1 Pfizer Company Details
11.3.2 Pfizer Business Overview
11.3.3 Pfizer Machine Learning Assisted Drug Discovery Introduction
11.3.4 Pfizer Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.3.5 Pfizer Recent Development
11.4 GSK
11.4.1 GSK Company Details
11.4.2 GSK Business Overview
11.4.3 GSK Machine Learning Assisted Drug Discovery Introduction
11.4.4 GSK Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.4.5 GSK Recent Development
11.5 Novartis
11.5.1 Novartis Company Details
11.5.2 Novartis Business Overview
11.5.3 Novartis Machine Learning Assisted Drug Discovery Introduction
11.5.4 Novartis Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.5.5 Novartis Recent Development
11.6 BenevolentAl
11.6.1 BenevolentAl Company Details
11.6.2 BenevolentAl Business Overview
11.6.3 BenevolentAl Machine Learning Assisted Drug Discovery Introduction
11.6.4 BenevolentAl Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.6.5 BenevolentAl Recent Development
11.7 Exscientia
11.7.1 Exscientia Company Details
11.7.2 Exscientia Business Overview
11.7.3 Exscientia Machine Learning Assisted Drug Discovery Introduction
11.7.4 Exscientia Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.7.5 Exscientia Recent Development
11.8 BristolMyers Squibb
11.8.1 BristolMyers Squibb Company Details
11.8.2 BristolMyers Squibb Business Overview
11.8.3 BristolMyers Squibb Machine Learning Assisted Drug Discovery Introduction
11.8.4 BristolMyers Squibb Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.8.5 BristolMyers Squibb Recent Development
11.9 Johnson And Johnson
11.9.1 Johnson And Johnson Company Details
11.9.2 Johnson And Johnson Business Overview
11.9.3 Johnson And Johnson Machine Learning Assisted Drug Discovery Introduction
11.9.4 Johnson And Johnson Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.9.5 Johnson And Johnson Recent Development
11.10 Insilico Medicine
11.10.1 Insilico Medicine Company Details
11.10.2 Insilico Medicine Business Overview
11.10.3 Insilico Medicine Machine Learning Assisted Drug Discovery Introduction
11.10.4 Insilico Medicine Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.10.5 Insilico Medicine Recent Development
11.11 Atomwise
11.11.1 Atomwise Company Details
11.11.2 Atomwise Business Overview
11.11.3 Atomwise Machine Learning Assisted Drug Discovery Introduction
11.11.4 Atomwise Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.11.5 Atomwise Recent Development
11.12 Cloud Pharmaceuticals
11.12.1 Cloud Pharmaceuticals Company Details
11.12.2 Cloud Pharmaceuticals Business Overview
11.12.3 Cloud Pharmaceuticals Machine Learning Assisted Drug Discovery Introduction
11.12.4 Cloud Pharmaceuticals Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.12.5 Cloud Pharmaceuticals Recent Development
11.13 Recursion Pharmaceuticals
11.13.1 Recursion Pharmaceuticals Company Details
11.13.2 Recursion Pharmaceuticals Business Overview
11.13.3 Recursion Pharmaceuticals Machine Learning Assisted Drug Discovery Introduction
11.13.4 Recursion Pharmaceuticals Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.13.5 Recursion Pharmaceuticals Recent Development
11.14 Sanofi
11.14.1 Sanofi Company Details
11.14.2 Sanofi Business Overview
11.14.3 Sanofi Machine Learning Assisted Drug Discovery Introduction
11.14.4 Sanofi Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.14.5 Sanofi Recent Development
11.15 AstraZeneca
11.15.1 AstraZeneca Company Details
11.15.2 AstraZeneca Business Overview
11.15.3 AstraZeneca Machine Learning Assisted Drug Discovery Introduction
11.15.4 AstraZeneca Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.15.5 AstraZeneca Recent Development
11.16 Fosun Pharma
11.16.1 Fosun Pharma Company Details
11.16.2 Fosun Pharma Business Overview
11.16.3 Fosun Pharma Machine Learning Assisted Drug Discovery Introduction
11.16.4 Fosun Pharma Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.16.5 Fosun Pharma Recent Development
11.17 Xtalpi
11.17.1 Xtalpi Company Details
11.17.2 Xtalpi Business Overview
11.17.3 Xtalpi Machine Learning Assisted Drug Discovery Introduction
11.17.4 Xtalpi Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.17.5 Xtalpi Recent Development
11.18 WuXi AppTec
11.18.1 WuXi AppTec Company Details
11.18.2 WuXi AppTec Business Overview
11.18.3 WuXi AppTec Machine Learning Assisted Drug Discovery Introduction
11.18.4 WuXi AppTec Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.18.5 WuXi AppTec Recent Development
11.19 Yunnan Baiyao
11.19.1 Yunnan Baiyao Company Details
11.19.2 Yunnan Baiyao Business Overview
11.19.3 Yunnan Baiyao Machine Learning Assisted Drug Discovery Introduction
11.19.4 Yunnan Baiyao Revenue in Machine Learning Assisted Drug Discovery Business (2020-2025)
11.19.5 Yunnan Baiyao Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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Published: 2026-03-11
Pages: 123
The global Machine Learning Assisted Drug Discovery market size was US$ 1487 million in 2025 and is forecast to reach a readjusted size of US$ 4920 million by 2032 with a CAGR of 18.9% during the forecast period 2026-2032.
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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