The global Machine Learning in Drug Discovery and Development market was valued at US$ 1092 million in 2023 and is anticipated to reach US$ 6415.4 million by 2030, witnessing a CAGR of 28.6% during the forecast period 2024-2030.
North American market for Machine Learning in Drug Discovery and Development is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning in Drug Discovery and Development is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Machine Learning in Drug Discovery and Development in Early Drug Discovery is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Machine Learning in Drug Discovery and Development include IBM, Exscientia, Google(Alphabet), Microsoft, Atomwise, Schrodinger, Aitia, Insilico Medicine and NVIDIA, etc. In 2023, 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.
Report Scope
The Machine Learning in Drug Discovery and Development market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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, sales volume, and average price 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
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 companies鈥� 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.
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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: 2019 VS 2023 VS 2030
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: 2019 VS 2023 VS 2030
1.3.2 Early Drug Discovery
1.3.3 Preclinical Phase
1.3.4 Clinical Phase
1.3.5 Regulatory Approval
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Drug Discovery and Development Market Perspective (2019-2030)
2.2 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: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Drug Discovery and Development Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Drug Discovery and Development Forecasted Market Size by Region (2025-2030)
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 (2019-2024)
3.1.2 Global Machine Learning in Drug Discovery and Development Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Drug Discovery and Development Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: 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 2023
3.5 Machine Learning in Drug Discovery and Development Key Players Head office and Area Served
3.6 Key Players Machine Learning in Drug Discovery and Development Product Solution and Service
3.7 Date of Enter into Machine Learning in Drug Discovery and Development Market
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 (2019-2024)
4.2 Global Machine Learning in Drug Discovery and Development Forecasted Market Size by Type (2025-2030)
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 (2019-2024)
5.2 Global Machine Learning in Drug Discovery and Development Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Drug Discovery and Development Market Size (2019-2030)
6.2 North America Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning in Drug Discovery and Development Market Size by Country (2019-2024)
6.4 North America Machine Learning in Drug Discovery and Development Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Drug Discovery and Development Market Size (2019-2030)
7.2 Europe Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning in Drug Discovery and Development Market Size by Country (2019-2024)
7.4 Europe Machine Learning in Drug Discovery and Development Market Size by Country (2025-2030)
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 (2019-2030)
8.2 Asia-Pacific Machine Learning in Drug Discovery and Development Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning in Drug Discovery and Development Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning in Drug Discovery and Development Market Size by Region (2025-2030)
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 (2019-2030)
9.2 Latin America Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning in Drug Discovery and Development Market Size by Country (2019-2024)
9.4 Latin America Machine Learning in Drug Discovery and Development Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning in Drug Discovery and Development Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning in Drug Discovery and Development Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
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 (2019-2024)
11.1.5 IBM Recent Development
11.2 Exscientia
11.2.1 Exscientia Company Detail
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 (2019-2024)
11.2.5 Exscientia Recent Development
11.3 Google(Alphabet)
11.3.1 Google(Alphabet) Company Detail
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 (2019-2024)
11.3.5 Google(Alphabet) Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
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 (2019-2024)
11.4.5 Microsoft Recent Development
11.5 Atomwise
11.5.1 Atomwise Company Detail
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 (2019-2024)
11.5.5 Atomwise Recent Development
11.6 Schrodinger
11.6.1 Schrodinger Company Detail
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 (2019-2024)
11.6.5 Schrodinger Recent Development
11.7 Aitia
11.7.1 Aitia Company Detail
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 (2019-2024)
11.7.5 Aitia Recent Development
11.8 Insilico Medicine
11.8.1 Insilico Medicine Company Detail
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 (2019-2024)
11.8.5 Insilico Medicine Recent Development
11.9 NVIDIA
11.9.1 NVIDIA Company Detail
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 (2019-2024)
11.9.5 NVIDIA Recent Development
11.10 XtalPi
11.10.1 XtalPi Company Detail
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 (2019-2024)
11.10.5 XtalPi Recent Development
11.11 BPGbio
11.11.1 BPGbio Company Detail
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 (2019-2024)
11.11.5 BPGbio Recent Development
11.12 Owkin
11.12.1 Owkin Company Detail
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 (2019-2024)
11.12.5 Owkin Recent Development
11.13 CytoReason
11.13.1 CytoReason Company Detail
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 (2019-2024)
11.13.5 CytoReason Recent Development
11.14 Deep Genomics
11.14.1 Deep Genomics Company Detail
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 (2019-2024)
11.14.5 Deep Genomics Recent Development
11.15 Cloud Pharmaceuticals
11.15.1 Cloud Pharmaceuticals Company Detail
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 (2019-2024)
11.15.5 Cloud Pharmaceuticals Recent Development
11.16 BenevolentAI
11.16.1 BenevolentAI Company Detail
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 (2019-2024)
11.16.5 BenevolentAI Recent Development
11.17 Cyclica
11.17.1 Cyclica Company Detail
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 (2019-2024)
11.17.5 Cyclica Recent Development
11.18 Verge Genomics
11.18.1 Verge Genomics Company Detail
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 (2019-2024)
11.18.5 Verge Genomics Recent Development
11.19 Valo Health
11.19.1 Valo Health Company Detail
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 (2019-2024)
11.19.5 Valo Health Recent Development
11.20 Envisagenics
11.20.1 Envisagenics Company Detail
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 (2019-2024)
11.20.5 Envisagenics Recent Development
11.21 Euretos
11.21.1 Euretos Company Detail
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 (2019-2024)
11.21.5 Euretos Recent Development
11.22 BioAge Labs
11.22.1 BioAge Labs Company Detail
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 (2019-2024)
11.22.5 BioAge Labs Recent Development
11.23 Iktos
11.23.1 Iktos Company Detail
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 (2019-2024)
11.23.5 Iktos Recent Development
11.24 BioSymetrics
11.24.1 BioSymetrics Company Detail
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 (2019-2024)
11.24.5 BioSymetrics Recent Development
11.25 Evaxion Biotech
11.25.1 Evaxion Biotech Company Detail
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 (2019-2024)
11.25.5 Evaxion Biotech Recent Development
11.26 Aria Pharmaceuticals, Inc
11.26.1 Aria Pharmaceuticals, Inc Company Detail
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 (2019-2024)
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
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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
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听
*If Applicable.
