The global market for Machine Learning in Drug Discovery and Development was valued at US$ 1784 million in the year 2024 and is projected to reach a revised size of US$ 10140 million by 2031, growing at a CAGR of 28.6% during the forecast period.
North American market for Machine Learning in Drug Discovery and Development is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Machine Learning in Drug Discovery and Development is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Machine Learning in Drug Discovery and Development in Early Drug Discovery is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Machine Learning in Drug Discovery and Development include IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine, NVIDIA, XtalPi, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Drug Discovery and Development, 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 in Drug Discovery and Development.
The Machine Learning in Drug Discovery and Development 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 in Drug Discovery and Development 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 in Drug Discovery and Development 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
By Company
IBM
Exscientia
Google(Alphabet)
Microsoft
Atomwise
Schrodinger
Aitia
Insilico Medicine
NVIDIA
XtalPi
BPGbio
Owkin
CytoReason
Deep Genomics
Cloud Pharmaceuticals
BenevolentAI
Cyclica
Verge Genomics
Valo Health
Envisagenics
Euretos
BioAge Labs
Iktos
BioSymetrics
Evaxion Biotech
Aria Pharmaceuticals, Inc
Segment by Type
Supervised Learning
Semi-supervised Learning
Unsupervised Learning
Reinforcement Learning
Segment by Application
Early Drug Discovery
Preclinical Phase
Clinical Phase
Regulatory Approval
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
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 in Drug Discovery and Development 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Drug Discovery and Development Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Supervised Learning
1.2.3 Semi-supervised Learning
1.2.4 Unsupervised Learning
1.2.5 Reinforcement Learning
1.3 Market by Application
1.3.1 Global Machine Learning in Drug Discovery and Development Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Early Drug Discovery
1.3.3 Preclinical Phase
1.3.4 Clinical Phase
1.3.5 Regulatory Approval
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Drug Discovery and Development Market Perspective (2020-2031)
2.2 Global Machine Learning in Drug Discovery and Development Growth Trends by Region
2.2.1 Global Machine Learning in Drug Discovery and Development Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Machine Learning in Drug Discovery and Development Historic Market Size by Region (2020-2025)
2.2.3 Machine Learning in Drug Discovery and Development Forecasted Market Size by Region (2026-2031)
2.3 Machine Learning in Drug Discovery and Development Market Dynamics
2.3.1 Machine Learning in Drug Discovery and Development Industry Trends
2.3.2 Machine Learning in Drug Discovery and Development Market Drivers
2.3.3 Machine Learning in Drug Discovery and Development Market Challenges
2.3.4 Machine Learning in Drug Discovery and Development Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning in Drug Discovery and Development Players by Revenue
3.1.1 Global Top Machine Learning in Drug Discovery and Development Players by Revenue (2020-2025)
3.1.2 Global Machine Learning in Drug Discovery and Development Revenue Market Share by Players (2020-2025)
3.2 Global Machine Learning in Drug Discovery and Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Machine Learning in Drug Discovery and Development Revenue
3.4 Global Machine Learning in Drug Discovery and Development Market Concentration Ratio
3.4.1 Global Machine Learning in Drug Discovery and Development Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Drug Discovery and Development Revenue in 2024
3.5 Global Key Players of Machine Learning in Drug Discovery and Development Head office and Area Served
3.6 Global Key Players of Machine Learning in Drug Discovery and Development, Product and Application
3.7 Global Key Players of Machine Learning in Drug Discovery and Development, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Drug Discovery and Development Breakdown Data by Type
4.1 Global Machine Learning in Drug Discovery and Development Historic Market Size by Type (2020-2025)
4.2 Global Machine Learning in Drug Discovery and Development Forecasted Market Size by Type (2026-2031)
5 Machine Learning in Drug Discovery and Development Breakdown Data by Application
5.1 Global Machine Learning in Drug Discovery and Development Historic Market Size by Application (2020-2025)
5.2 Global Machine Learning in Drug Discovery and Development Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Machine Learning in Drug Discovery and Development Market Size (2020-2031)
6.2 North America Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Machine Learning in Drug Discovery and Development Market Size by Country (2020-2025)
6.4 North America Machine Learning in Drug Discovery and Development Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Drug Discovery and Development Market Size (2020-2031)
7.2 Europe Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Machine Learning in Drug Discovery and Development Market Size by Country (2020-2025)
7.4 Europe Machine Learning in Drug Discovery and Development 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 in Drug Discovery and Development Market Size (2020-2031)
8.2 Asia-Pacific Machine Learning in Drug Discovery and Development Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Machine Learning in Drug Discovery and Development Market Size by Region (2020-2025)
8.4 Asia-Pacific Machine Learning in Drug Discovery and Development 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 in Drug Discovery and Development Market Size (2020-2031)
9.2 Latin America Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Machine Learning in Drug Discovery and Development Market Size by Country (2020-2025)
9.4 Latin America Machine Learning in Drug Discovery and Development Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size (2020-2031)
10.2 Middle East & Africa Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size by Country (2020-2025)
10.4 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Machine Learning in Drug Discovery and Development Introduction
11.1.4 IBM Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.1.5 IBM Recent Development
11.2 Exscientia
11.2.1 Exscientia Company Details
11.2.2 Exscientia Business Overview
11.2.3 Exscientia Machine Learning in Drug Discovery and Development Introduction
11.2.4 Exscientia Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.2.5 Exscientia Recent Development
11.3 Google(Alphabet)
11.3.1 Google(Alphabet) Company Details
11.3.2 Google(Alphabet) Business Overview
11.3.3 Google(Alphabet) Machine Learning in Drug Discovery and Development Introduction
11.3.4 Google(Alphabet) Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.3.5 Google(Alphabet) Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Details
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Machine Learning in Drug Discovery and Development Introduction
11.4.4 Microsoft Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.4.5 Microsoft Recent Development
11.5 Atomwise
11.5.1 Atomwise Company Details
11.5.2 Atomwise Business Overview
11.5.3 Atomwise Machine Learning in Drug Discovery and Development Introduction
11.5.4 Atomwise Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.5.5 Atomwise Recent Development
11.6 Schrodinger
11.6.1 Schrodinger Company Details
11.6.2 Schrodinger Business Overview
11.6.3 Schrodinger Machine Learning in Drug Discovery and Development Introduction
11.6.4 Schrodinger Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.6.5 Schrodinger Recent Development
11.7 Aitia
11.7.1 Aitia Company Details
11.7.2 Aitia Business Overview
11.7.3 Aitia Machine Learning in Drug Discovery and Development Introduction
11.7.4 Aitia Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.7.5 Aitia Recent Development
11.8 Insilico Medicine
11.8.1 Insilico Medicine Company Details
11.8.2 Insilico Medicine Business Overview
11.8.3 Insilico Medicine Machine Learning in Drug Discovery and Development Introduction
11.8.4 Insilico Medicine Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.8.5 Insilico Medicine Recent Development
11.9 NVIDIA
11.9.1 NVIDIA Company Details
11.9.2 NVIDIA Business Overview
11.9.3 NVIDIA Machine Learning in Drug Discovery and Development Introduction
11.9.4 NVIDIA Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.9.5 NVIDIA Recent Development
11.10 XtalPi
11.10.1 XtalPi Company Details
11.10.2 XtalPi Business Overview
11.10.3 XtalPi Machine Learning in Drug Discovery and Development Introduction
11.10.4 XtalPi Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.10.5 XtalPi Recent Development
11.11 BPGbio
11.11.1 BPGbio Company Details
11.11.2 BPGbio Business Overview
11.11.3 BPGbio Machine Learning in Drug Discovery and Development Introduction
11.11.4 BPGbio Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.11.5 BPGbio Recent Development
11.12 Owkin
11.12.1 Owkin Company Details
11.12.2 Owkin Business Overview
11.12.3 Owkin Machine Learning in Drug Discovery and Development Introduction
11.12.4 Owkin Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.12.5 Owkin Recent Development
11.13 CytoReason
11.13.1 CytoReason Company Details
11.13.2 CytoReason Business Overview
11.13.3 CytoReason Machine Learning in Drug Discovery and Development Introduction
11.13.4 CytoReason Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.13.5 CytoReason Recent Development
11.14 Deep Genomics
11.14.1 Deep Genomics Company Details
11.14.2 Deep Genomics Business Overview
11.14.3 Deep Genomics Machine Learning in Drug Discovery and Development Introduction
11.14.4 Deep Genomics Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.14.5 Deep Genomics Recent Development
11.15 Cloud Pharmaceuticals
11.15.1 Cloud Pharmaceuticals Company Details
11.15.2 Cloud Pharmaceuticals Business Overview
11.15.3 Cloud Pharmaceuticals Machine Learning in Drug Discovery and Development Introduction
11.15.4 Cloud Pharmaceuticals Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.15.5 Cloud Pharmaceuticals Recent Development
11.16 BenevolentAI
11.16.1 BenevolentAI Company Details
11.16.2 BenevolentAI Business Overview
11.16.3 BenevolentAI Machine Learning in Drug Discovery and Development Introduction
11.16.4 BenevolentAI Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.16.5 BenevolentAI Recent Development
11.17 Cyclica
11.17.1 Cyclica Company Details
11.17.2 Cyclica Business Overview
11.17.3 Cyclica Machine Learning in Drug Discovery and Development Introduction
11.17.4 Cyclica Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.17.5 Cyclica Recent Development
11.18 Verge Genomics
11.18.1 Verge Genomics Company Details
11.18.2 Verge Genomics Business Overview
11.18.3 Verge Genomics Machine Learning in Drug Discovery and Development Introduction
11.18.4 Verge Genomics Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.18.5 Verge Genomics Recent Development
11.19 Valo Health
11.19.1 Valo Health Company Details
11.19.2 Valo Health Business Overview
11.19.3 Valo Health Machine Learning in Drug Discovery and Development Introduction
11.19.4 Valo Health Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.19.5 Valo Health Recent Development
11.20 Envisagenics
11.20.1 Envisagenics Company Details
11.20.2 Envisagenics Business Overview
11.20.3 Envisagenics Machine Learning in Drug Discovery and Development Introduction
11.20.4 Envisagenics Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.20.5 Envisagenics Recent Development
11.21 Euretos
11.21.1 Euretos Company Details
11.21.2 Euretos Business Overview
11.21.3 Euretos Machine Learning in Drug Discovery and Development Introduction
11.21.4 Euretos Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.21.5 Euretos Recent Development
11.22 BioAge Labs
11.22.1 BioAge Labs Company Details
11.22.2 BioAge Labs Business Overview
11.22.3 BioAge Labs Machine Learning in Drug Discovery and Development Introduction
11.22.4 BioAge Labs Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.22.5 BioAge Labs Recent Development
11.23 Iktos
11.23.1 Iktos Company Details
11.23.2 Iktos Business Overview
11.23.3 Iktos Machine Learning in Drug Discovery and Development Introduction
11.23.4 Iktos Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.23.5 Iktos Recent Development
11.24 BioSymetrics
11.24.1 BioSymetrics Company Details
11.24.2 BioSymetrics Business Overview
11.24.3 BioSymetrics Machine Learning in Drug Discovery and Development Introduction
11.24.4 BioSymetrics Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.24.5 BioSymetrics Recent Development
11.25 Evaxion Biotech
11.25.1 Evaxion Biotech Company Details
11.25.2 Evaxion Biotech Business Overview
11.25.3 Evaxion Biotech Machine Learning in Drug Discovery and Development Introduction
11.25.4 Evaxion Biotech Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.25.5 Evaxion Biotech Recent Development
11.26 Aria Pharmaceuticals, Inc
11.26.1 Aria Pharmaceuticals, Inc Company Details
11.26.2 Aria Pharmaceuticals, Inc Business Overview
11.26.3 Aria Pharmaceuticals, Inc Machine Learning in Drug Discovery and Development Introduction
11.26.4 Aria Pharmaceuticals, Inc Revenue in Machine Learning in Drug Discovery and Development Business (2020-2025)
11.26.5 Aria Pharmaceuticals, Inc 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
IBM
Exscientia
Google(Alphabet)
Microsoft
Atomwise
Schrodinger
Aitia
Insilico Medicine
NVIDIA
XtalPi
BPGbio
Owkin
CytoReason
Deep Genomics
Cloud Pharmaceuticals
BenevolentAI
Cyclica
Verge Genomics
Valo Health
Envisagenics
Euretos
BioAge Labs
Iktos
BioSymetrics
Evaxion Biotech
Aria Pharmaceuticals, Inc
听
听
*If Applicable.
