Global AI-Powered Drug Discovery Software 麻豆原创 Research Report 2025

Publication ID:

PB505251023

Publication Date:

May 6, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

The global market for AI-Powered Drug Discovery Software was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
AI-Powered Drug Discovery Software is a software system that uses artificial intelligence technology for drug discovery and development. It uses advanced artificial intelligence algorithms and technologies such as machine learning, deep learning, and data mining to help drug researchers perform data analysis, prediction, and optimization during the drug discovery process.
North American market for AI-Powered Drug Discovery Software 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 AI-Powered Drug Discovery Software 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 AI-Powered Drug Discovery Software in Pharmaceutical Company 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 AI-Powered Drug Discovery Software include AtomWise, AutoDock, BenevolentAI, CCD Vault, Compound Assist, Cyclica, DrugDev Spark, DrugPatentWatch, DSG Drug Safety, Epocrates, 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 AI-Powered Drug Discovery Software, 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 AI-Powered Drug Discovery Software.
The AI-Powered Drug Discovery Software 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 AI-Powered Drug Discovery Software 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 AI-Powered Drug Discovery Software 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.
麻豆原创 Segmentation
By Company
AtomWise
AutoDock
BenevolentAI
CCD Vault
Compound Assist
Cyclica
DrugDev Spark
DrugPatentWatch
DSG Drug Safety
Epocrates
InSilicoTrials
Insilico Medicine
Micro Tracker
PEPID PDC
厂肠丑谤枚诲颈苍驳别谤
Thermo Scientific
XtalPi
Segment by Type
On-Premise
Cloud-Based
Segment by Application
Pharmaceutical Company
Academic Research Institution
Others
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 AI-Powered Drug Discovery Software 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.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI-Powered Drug Discovery Software 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 On-Premise
1.2.3 Cloud-Based
1.3 麻豆原创 by Application
1.3.1 Global AI-Powered Drug Discovery Software 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Pharmaceutical Company
1.3.3 Academic Research Institution
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Powered Drug Discovery Software 麻豆原创 Perspective (2020-2031)
2.2 Global AI-Powered Drug Discovery Software Growth Trends by Region
2.2.1 Global AI-Powered Drug Discovery Software 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-Powered Drug Discovery Software Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 AI-Powered Drug Discovery Software Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 AI-Powered Drug Discovery Software 麻豆原创 Dynamics
2.3.1 AI-Powered Drug Discovery Software Industry Trends
2.3.2 AI-Powered Drug Discovery Software 麻豆原创 Drivers
2.3.3 AI-Powered Drug Discovery Software 麻豆原创 Challenges
2.3.4 AI-Powered Drug Discovery Software 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Powered Drug Discovery Software Players by Revenue
3.1.1 Global Top AI-Powered Drug Discovery Software Players by Revenue (2020-2025)
3.1.2 Global AI-Powered Drug Discovery Software Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global AI-Powered Drug Discovery Software 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Powered Drug Discovery Software Revenue
3.4 Global AI-Powered Drug Discovery Software 麻豆原创 Concentration Ratio
3.4.1 Global AI-Powered Drug Discovery Software 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Powered Drug Discovery Software Revenue in 2024
3.5 Global Key Players of AI-Powered Drug Discovery Software Head office and Area Served
3.6 Global Key Players of AI-Powered Drug Discovery Software, Product and Application
3.7 Global Key Players of AI-Powered Drug Discovery Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Powered Drug Discovery Software Breakdown Data by Type
4.1 Global AI-Powered Drug Discovery Software Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global AI-Powered Drug Discovery Software Forecasted 麻豆原创 Size by Type (2026-2031)
5 AI-Powered Drug Discovery Software Breakdown Data by Application
5.1 Global AI-Powered Drug Discovery Software Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global AI-Powered Drug Discovery Software Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America AI-Powered Drug Discovery Software 麻豆原创 Size (2020-2031)
6.2 North America AI-Powered Drug Discovery Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2020-2025)
6.4 North America AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Powered Drug Discovery Software 麻豆原创 Size (2020-2031)
7.2 Europe AI-Powered Drug Discovery Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2020-2025)
7.4 Europe AI-Powered Drug Discovery Software 麻豆原创 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 AI-Powered Drug Discovery Software 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific AI-Powered Drug Discovery Software 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-Powered Drug Discovery Software 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific AI-Powered Drug Discovery Software 麻豆原创 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 AI-Powered Drug Discovery Software 麻豆原创 Size (2020-2031)
9.2 Latin America AI-Powered Drug Discovery Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2020-2025)
9.4 Latin America AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Powered Drug Discovery Software 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa AI-Powered Drug Discovery Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa AI-Powered Drug Discovery Software 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AtomWise
11.1.1 AtomWise Company Details
11.1.2 AtomWise Business Overview
11.1.3 AtomWise AI-Powered Drug Discovery Software Introduction
11.1.4 AtomWise Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.1.5 AtomWise Recent Development
11.2 AutoDock
11.2.1 AutoDock Company Details
11.2.2 AutoDock Business Overview
11.2.3 AutoDock AI-Powered Drug Discovery Software Introduction
11.2.4 AutoDock Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.2.5 AutoDock Recent Development
11.3 BenevolentAI
11.3.1 BenevolentAI Company Details
11.3.2 BenevolentAI Business Overview
11.3.3 BenevolentAI AI-Powered Drug Discovery Software Introduction
11.3.4 BenevolentAI Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.3.5 BenevolentAI Recent Development
11.4 CCD Vault
11.4.1 CCD Vault Company Details
11.4.2 CCD Vault Business Overview
11.4.3 CCD Vault AI-Powered Drug Discovery Software Introduction
11.4.4 CCD Vault Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.4.5 CCD Vault Recent Development
11.5 Compound Assist
11.5.1 Compound Assist Company Details
11.5.2 Compound Assist Business Overview
11.5.3 Compound Assist AI-Powered Drug Discovery Software Introduction
11.5.4 Compound Assist Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.5.5 Compound Assist Recent Development
11.6 Cyclica
11.6.1 Cyclica Company Details
11.6.2 Cyclica Business Overview
11.6.3 Cyclica AI-Powered Drug Discovery Software Introduction
11.6.4 Cyclica Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.6.5 Cyclica Recent Development
11.7 DrugDev Spark
11.7.1 DrugDev Spark Company Details
11.7.2 DrugDev Spark Business Overview
11.7.3 DrugDev Spark AI-Powered Drug Discovery Software Introduction
11.7.4 DrugDev Spark Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.7.5 DrugDev Spark Recent Development
11.8 DrugPatentWatch
11.8.1 DrugPatentWatch Company Details
11.8.2 DrugPatentWatch Business Overview
11.8.3 DrugPatentWatch AI-Powered Drug Discovery Software Introduction
11.8.4 DrugPatentWatch Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.8.5 DrugPatentWatch Recent Development
11.9 DSG Drug Safety
11.9.1 DSG Drug Safety Company Details
11.9.2 DSG Drug Safety Business Overview
11.9.3 DSG Drug Safety AI-Powered Drug Discovery Software Introduction
11.9.4 DSG Drug Safety Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.9.5 DSG Drug Safety Recent Development
11.10 Epocrates
11.10.1 Epocrates Company Details
11.10.2 Epocrates Business Overview
11.10.3 Epocrates AI-Powered Drug Discovery Software Introduction
11.10.4 Epocrates Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.10.5 Epocrates Recent Development
11.11 InSilicoTrials
11.11.1 InSilicoTrials Company Details
11.11.2 InSilicoTrials Business Overview
11.11.3 InSilicoTrials AI-Powered Drug Discovery Software Introduction
11.11.4 InSilicoTrials Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.11.5 InSilicoTrials Recent Development
11.12 Insilico Medicine
11.12.1 Insilico Medicine Company Details
11.12.2 Insilico Medicine Business Overview
11.12.3 Insilico Medicine AI-Powered Drug Discovery Software Introduction
11.12.4 Insilico Medicine Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.12.5 Insilico Medicine Recent Development
11.13 Micro Tracker
11.13.1 Micro Tracker Company Details
11.13.2 Micro Tracker Business Overview
11.13.3 Micro Tracker AI-Powered Drug Discovery Software Introduction
11.13.4 Micro Tracker Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.13.5 Micro Tracker Recent Development
11.14 PEPID PDC
11.14.1 PEPID PDC Company Details
11.14.2 PEPID PDC Business Overview
11.14.3 PEPID PDC AI-Powered Drug Discovery Software Introduction
11.14.4 PEPID PDC Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.14.5 PEPID PDC Recent Development
11.15 厂肠丑谤枚诲颈苍驳别谤
11.15.1 厂肠丑谤枚诲颈苍驳别谤 Company Details
11.15.2 厂肠丑谤枚诲颈苍驳别谤 Business Overview
11.15.3 厂肠丑谤枚诲颈苍驳别谤 AI-Powered Drug Discovery Software Introduction
11.15.4 厂肠丑谤枚诲颈苍驳别谤 Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.15.5 厂肠丑谤枚诲颈苍驳别谤 Recent Development
11.16 Thermo Scientific
11.16.1 Thermo Scientific Company Details
11.16.2 Thermo Scientific Business Overview
11.16.3 Thermo Scientific AI-Powered Drug Discovery Software Introduction
11.16.4 Thermo Scientific Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.16.5 Thermo Scientific Recent Development
11.17 XtalPi
11.17.1 XtalPi Company Details
11.17.2 XtalPi Business Overview
11.17.3 XtalPi AI-Powered Drug Discovery Software Introduction
11.17.4 XtalPi Revenue in AI-Powered Drug Discovery Software Business (2020-2025)
11.17.5 XtalPi 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 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 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

Companies Mentioned:

AtomWise
AutoDock
BenevolentAI
CCD Vault
Compound Assist
Cyclica
DrugDev Spark
DrugPatentWatch
DSG Drug Safety
Epocrates
InSilicoTrials
Insilico Medicine
Micro Tracker
PEPID PDC
厂肠丑谤枚诲颈苍驳别谤
Thermo Scientific
XtalPi

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