Machine Learning in Drug Discovery and Development - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244272

Publication Date:

November 26, 2024

Pages:

149

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Machine Learning in Drug Discovery and Development was estimated to be worth US$ 1092 million in 2023 and is forecast to a readjusted size of US$ 6415.4 million by 2030 with a CAGR of 28.6% during the forecast period 2024-2030
North American market for Machine Learning in Drug Discovery and Development was valued at $ million in 2023 and will 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 was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Machine Learning in Drug Discovery and Development was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key 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 global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Drug Discovery and Development, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Learning in Drug Discovery and Development by region & country, by Type, and by Application.
The Machine Learning in Drug Discovery and Development market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
麻豆原创 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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Machine Learning in Drug Discovery and Development manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Machine Learning in Drug Discovery and Development in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Machine Learning in Drug Discovery and Development in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 麻豆原创 Overview
1.1 Machine Learning in Drug Discovery and Development Product Introduction
1.2 Global Machine Learning in Drug Discovery and Development 麻豆原创 Size Forecast
1.3 Machine Learning in Drug Discovery and Development 麻豆原创 Trends & Drivers
1.3.1 Machine Learning in Drug Discovery and Development Industry Trends
1.3.2 Machine Learning in Drug Discovery and Development 麻豆原创 Drivers & Opportunity
1.3.3 Machine Learning in Drug Discovery and Development 麻豆原创 Challenges
1.3.4 Machine Learning in Drug Discovery and Development 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Learning in Drug Discovery and Development Players Revenue Ranking (2023)
2.2 Global Machine Learning in Drug Discovery and Development Revenue by Company (2019-2024)
2.3 Key Companies Machine Learning in Drug Discovery and Development Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Learning in Drug Discovery and Development Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Learning in Drug Discovery and Development
2.6 Machine Learning in Drug Discovery and Development 麻豆原创 Competitive Analysis
2.6.1 Machine Learning in Drug Discovery and Development 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Learning in Drug Discovery and Development Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning in Drug Discovery and Development as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Supervised Learning
3.1.2 Semi-supervised Learning
3.1.3 Unsupervised Learning
3.1.4 Reinforcement Learning
3.2 Global Machine Learning in Drug Discovery and Development Sales Value by Type
3.2.1 Global Machine Learning in Drug Discovery and Development Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Learning in Drug Discovery and Development Sales Value, by Type (2019-2030)
3.2.3 Global Machine Learning in Drug Discovery and Development Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Early Drug Discovery
4.1.2 Preclinical Phase
4.1.3 Clinical Phase
4.1.4 Regulatory Approval
4.2 Global Machine Learning in Drug Discovery and Development Sales Value by Application
4.2.1 Global Machine Learning in Drug Discovery and Development Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Learning in Drug Discovery and Development Sales Value, by Application (2019-2030)
4.2.3 Global Machine Learning in Drug Discovery and Development Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Learning in Drug Discovery and Development Sales Value by Region
5.1.1 Global Machine Learning in Drug Discovery and Development Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Learning in Drug Discovery and Development Sales Value by Region (2019-2024)
5.1.3 Global Machine Learning in Drug Discovery and Development Sales Value by Region (2025-2030)
5.1.4 Global Machine Learning in Drug Discovery and Development Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
5.2.2 North America Machine Learning in Drug Discovery and Development Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
5.3.2 Europe Machine Learning in Drug Discovery and Development Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Learning in Drug Discovery and Development Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
5.5.2 South America Machine Learning in Drug Discovery and Development Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Learning in Drug Discovery and Development Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Learning in Drug Discovery and Development Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Learning in Drug Discovery and Development Sales Value
6.3 United States
6.3.1 United States Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.3.2 United States Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.4.2 Europe Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.5.2 China Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.6.2 Japan Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.7.2 South Korea Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Learning in Drug Discovery and Development Sales Value, 2019-2030
6.9.2 India Machine Learning in Drug Discovery and Development Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Learning in Drug Discovery and Development Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.1.4 IBM Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Exscientia
7.2.1 Exscientia Profile
7.2.2 Exscientia Main Business
7.2.3 Exscientia Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.2.4 Exscientia Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.2.5 Exscientia Recent Developments
7.3 Google(Alphabet)
7.3.1 Google(Alphabet) Profile
7.3.2 Google(Alphabet) Main Business
7.3.3 Google(Alphabet) Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.3.4 Google(Alphabet) Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Recent Developments
7.4 Microsoft
7.4.1 Microsoft Profile
7.4.2 Microsoft Main Business
7.4.3 Microsoft Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.4.4 Microsoft Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.4.5 Microsoft Recent Developments
7.5 Atomwise
7.5.1 Atomwise Profile
7.5.2 Atomwise Main Business
7.5.3 Atomwise Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.5.4 Atomwise Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.5.5 Atomwise Recent Developments
7.6 Schrodinger
7.6.1 Schrodinger Profile
7.6.2 Schrodinger Main Business
7.6.3 Schrodinger Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.6.4 Schrodinger Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.6.5 Schrodinger Recent Developments
7.7 Aitia
7.7.1 Aitia Profile
7.7.2 Aitia Main Business
7.7.3 Aitia Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.7.4 Aitia Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.7.5 Aitia Recent Developments
7.8 Insilico Medicine
7.8.1 Insilico Medicine Profile
7.8.2 Insilico Medicine Main Business
7.8.3 Insilico Medicine Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.8.4 Insilico Medicine Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.8.5 Insilico Medicine Recent Developments
7.9 NVIDIA
7.9.1 NVIDIA Profile
7.9.2 NVIDIA Main Business
7.9.3 NVIDIA Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.9.4 NVIDIA Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.9.5 NVIDIA Recent Developments
7.10 XtalPi
7.10.1 XtalPi Profile
7.10.2 XtalPi Main Business
7.10.3 XtalPi Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.10.4 XtalPi Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.10.5 XtalPi Recent Developments
7.11 BPGbio
7.11.1 BPGbio Profile
7.11.2 BPGbio Main Business
7.11.3 BPGbio Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.11.4 BPGbio Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.11.5 BPGbio Recent Developments
7.12 Owkin
7.12.1 Owkin Profile
7.12.2 Owkin Main Business
7.12.3 Owkin Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.12.4 Owkin Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.12.5 Owkin Recent Developments
7.13 CytoReason
7.13.1 CytoReason Profile
7.13.2 CytoReason Main Business
7.13.3 CytoReason Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.13.4 CytoReason Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.13.5 CytoReason Recent Developments
7.14 Deep Genomics
7.14.1 Deep Genomics Profile
7.14.2 Deep Genomics Main Business
7.14.3 Deep Genomics Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.14.4 Deep Genomics Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.14.5 Deep Genomics Recent Developments
7.15 Cloud Pharmaceuticals
7.15.1 Cloud Pharmaceuticals Profile
7.15.2 Cloud Pharmaceuticals Main Business
7.15.3 Cloud Pharmaceuticals Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.15.4 Cloud Pharmaceuticals Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.15.5 Cloud Pharmaceuticals Recent Developments
7.16 BenevolentAI
7.16.1 BenevolentAI Profile
7.16.2 BenevolentAI Main Business
7.16.3 BenevolentAI Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.16.4 BenevolentAI Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.16.5 BenevolentAI Recent Developments
7.17 Cyclica
7.17.1 Cyclica Profile
7.17.2 Cyclica Main Business
7.17.3 Cyclica Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.17.4 Cyclica Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.17.5 Cyclica Recent Developments
7.18 Verge Genomics
7.18.1 Verge Genomics Profile
7.18.2 Verge Genomics Main Business
7.18.3 Verge Genomics Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.18.4 Verge Genomics Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.18.5 Verge Genomics Recent Developments
7.19 Valo Health
7.19.1 Valo Health Profile
7.19.2 Valo Health Main Business
7.19.3 Valo Health Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.19.4 Valo Health Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.19.5 Valo Health Recent Developments
7.20 Envisagenics
7.20.1 Envisagenics Profile
7.20.2 Envisagenics Main Business
7.20.3 Envisagenics Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.20.4 Envisagenics Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.20.5 Envisagenics Recent Developments
7.21 Euretos
7.21.1 Euretos Profile
7.21.2 Euretos Main Business
7.21.3 Euretos Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.21.4 Euretos Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.21.5 Euretos Recent Developments
7.22 BioAge Labs
7.22.1 BioAge Labs Profile
7.22.2 BioAge Labs Main Business
7.22.3 BioAge Labs Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.22.4 BioAge Labs Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.22.5 BioAge Labs Recent Developments
7.23 Iktos
7.23.1 Iktos Profile
7.23.2 Iktos Main Business
7.23.3 Iktos Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.23.4 Iktos Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.23.5 Iktos Recent Developments
7.24 BioSymetrics
7.24.1 BioSymetrics Profile
7.24.2 BioSymetrics Main Business
7.24.3 BioSymetrics Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.24.4 BioSymetrics Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.24.5 BioSymetrics Recent Developments
7.25 Evaxion Biotech
7.25.1 Evaxion Biotech Profile
7.25.2 Evaxion Biotech Main Business
7.25.3 Evaxion Biotech Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.25.4 Evaxion Biotech Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.25.5 Evaxion Biotech Recent Developments
7.26 Aria Pharmaceuticals, Inc
7.26.1 Aria Pharmaceuticals, Inc Profile
7.26.2 Aria Pharmaceuticals, Inc Main Business
7.26.3 Aria Pharmaceuticals, Inc Machine Learning in Drug Discovery and Development Products, Services and Solutions
7.26.4 Aria Pharmaceuticals, Inc Machine Learning in Drug Discovery and Development Revenue (US$ Million) & (2019-2024)
7.26.5 Aria Pharmaceuticals, Inc Recent Developments
8 Industry Chain Analysis
8.1 Machine Learning in Drug Discovery and Development Industrial Chain
8.2 Machine Learning in Drug Discovery and Development Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Machine Learning in Drug Discovery and Development Sales Model
8.5.2 Sales Channel
8.5.3 Machine Learning in Drug Discovery and Development Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

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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