Industry: Service & Software
Published Date: 2024-11-12
Pages: 119 Pages
Report ld: 3370799
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AI Drug Discovery Software Market Size(US$)

CAGR 2024-2030
14%
Market Size,2030
USD 1,119
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI Drug Discovery Software was estimated to be worth US$ 470 million in 2023 and is forecast to a readjusted size of US$ 1119 million by 2030 with a CAGR of 14.0% during the forecast period 2024-2030.
AI drug discovery software is a software tool that accelerates the drug development process by utilizing artificial intelligence algorithms and technologies. This software integrates and analyzes a vast amount of bioinformatics data, chemical structure data, and clinical trial data to predict key properties such as compound bioactivity, pharmacokinetic characteristics, and toxicity. With the help of AI technology, drug researchers can more quickly and accurately screen potential candidate drugs, thereby reducing development costs, shortening development cycles, and improving success rates.
North American market for AI Drug Discovery Software 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 AI Drug Discovery Software 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 AI Drug Discovery Software 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 AI Drug Discovery Software include Nanolive, TandemAI, Benevolent, Atomwise, Cradle, Exscientia, Iktos, Insilico Medicine, Collaborative Drug Discovery, Valence Labs, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
The AI Drug Discovery Software 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 AI Drug Discovery Software.
MARKET SEGMENTATION
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 AI Drug Discovery Software company 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 AI Drug Discovery Software 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 AI Drug Discovery Software 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.
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.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
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Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
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TABLE OF CONTENTS
1 Market Overview
1.1 AI Drug Discovery Software Product Introduction
1.2 Global AI Drug Discovery Software Market Size Forecast (2019-2030)
1.3 AI Drug Discovery Software Market Trends & Drivers
1.3.1 AI Drug Discovery Software Industry Trends
1.3.2 AI Drug Discovery Software Market Drivers & Opportunity
1.3.3 AI Drug Discovery Software Market Challenges
1.3.4 AI Drug Discovery Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Drug Discovery Software Players Revenue Ranking (2023)
2.2 Global AI Drug Discovery Software Revenue by Company (2019-2024)
2.3 Key Companies AI Drug Discovery Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Drug Discovery Software Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Drug Discovery Software
2.6 AI Drug Discovery Software Market Competitive Analysis
2.6.1 AI Drug Discovery Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI Drug Discovery Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Drug Discovery Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 On Premise
3.2 Global AI Drug Discovery Software Sales Value by Type
3.2.1 Global AI Drug Discovery Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI Drug Discovery Software Sales Value, by Type (2019-2030)
3.2.3 Global AI Drug Discovery Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 CRO and Universities
4.1.2 Pharmaceutical Company
4.1.3 Test Lab
4.2 Global AI Drug Discovery Software Sales Value by Application
4.2.1 Global AI Drug Discovery Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI Drug Discovery Software Sales Value, by Application (2019-2030)
4.2.3 Global AI Drug Discovery Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI Drug Discovery Software Sales Value by Region
5.1.1 Global AI Drug Discovery Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI Drug Discovery Software Sales Value by Region (2019-2024)
5.1.3 Global AI Drug Discovery Software Sales Value by Region (2025-2030)
5.1.4 Global AI Drug Discovery Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI Drug Discovery Software Sales Value, 2019-2030
5.2.2 North America AI Drug Discovery Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI Drug Discovery Software Sales Value, 2019-2030
5.3.2 Europe AI Drug Discovery Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI Drug Discovery Software Sales Value, 2019-2030
5.4.2 Asia Pacific AI Drug Discovery Software Sales Value by Region (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI Drug Discovery Software Sales Value, 2019-2030
5.5.2 South America AI Drug Discovery Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Drug Discovery Software Sales Value, 2019-2030
5.6.2 Middle East & Africa AI Drug Discovery Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Drug Discovery Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI Drug Discovery Software Sales Value, 2019-2030
6.3 United States
6.3.1 United States AI Drug Discovery Software Sales Value, 2019-2030
6.3.2 United States AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI Drug Discovery Software Sales Value, 2019-2030
6.4.2 Europe AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI Drug Discovery Software Sales Value, 2019-2030
6.5.2 China AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI Drug Discovery Software Sales Value, 2019-2030
6.6.2 Japan AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI Drug Discovery Software Sales Value, 2019-2030
6.7.2 South Korea AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI Drug Discovery Software Sales Value, 2019-2030
6.8.2 Southeast Asia AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI Drug Discovery Software Sales Value, 2019-2030
6.9.2 India AI Drug Discovery Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI Drug Discovery Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Nanolive
7.1.1 Nanolive Profile
7.1.2 Nanolive Main Business
7.1.3 Nanolive AI Drug Discovery Software Products, Services and Solutions
7.1.4 Nanolive AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.1.5 Nanolive Recent Developments
7.2 TandemAI
7.2.1 TandemAI Profile
7.2.2 TandemAI Main Business
7.2.3 TandemAI AI Drug Discovery Software Products, Services and Solutions
7.2.4 TandemAI AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.2.5 TandemAI Recent Developments
7.3 Benevolent
7.3.1 Benevolent Profile
7.3.2 Benevolent Main Business
7.3.3 Benevolent AI Drug Discovery Software Products, Services and Solutions
7.3.4 Benevolent AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.3.5 Benevolent Recent Developments
7.4 Atomwise
7.4.1 Atomwise Profile
7.4.2 Atomwise Main Business
7.4.3 Atomwise AI Drug Discovery Software Products, Services and Solutions
7.4.4 Atomwise AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.4.5 Atomwise Recent Developments
7.5 Cradle
7.5.1 Cradle Profile
7.5.2 Cradle Main Business
7.5.3 Cradle AI Drug Discovery Software Products, Services and Solutions
7.5.4 Cradle AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.5.5 Cradle Recent Developments
7.6 Exscientia
7.6.1 Exscientia Profile
7.6.2 Exscientia Main Business
7.6.3 Exscientia AI Drug Discovery Software Products, Services and Solutions
7.6.4 Exscientia AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.6.5 Exscientia Recent Developments
7.7 Iktos
7.7.1 Iktos Profile
7.7.2 Iktos Main Business
7.7.3 Iktos AI Drug Discovery Software Products, Services and Solutions
7.7.4 Iktos AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.7.5 Iktos Recent Developments
7.8 Insilico Medicine
7.8.1 Insilico Medicine Profile
7.8.2 Insilico Medicine Main Business
7.8.3 Insilico Medicine AI Drug Discovery Software Products, Services and Solutions
7.8.4 Insilico Medicine AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.8.5 Insilico Medicine Recent Developments
7.9 Collaborative Drug Discovery
7.9.1 Collaborative Drug Discovery Profile
7.9.2 Collaborative Drug Discovery Main Business
7.9.3 Collaborative Drug Discovery AI Drug Discovery Software Products, Services and Solutions
7.9.4 Collaborative Drug Discovery AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.9.5 Collaborative Drug Discovery Recent Developments
7.10 Valence Labs
7.10.1 Valence Labs Profile
7.10.2 Valence Labs Main Business
7.10.3 Valence Labs AI Drug Discovery Software Products, Services and Solutions
7.10.4 Valence Labs AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.10.5 Valence Labs Recent Developments
7.11 Certara
7.11.1 Certara Profile
7.11.2 Certara Main Business
7.11.3 Certara AI Drug Discovery Software Products, Services and Solutions
7.11.4 Certara AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.11.5 Certara Recent Developments
7.12 Insilico
7.12.1 Insilico Profile
7.12.2 Insilico Main Business
7.12.3 Insilico AI Drug Discovery Software Products, Services and Solutions
7.12.4 Insilico AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.12.5 Insilico Recent Developments
7.13 Genentech
7.13.1 Genentech Profile
7.13.2 Genentech Main Business
7.13.3 Genentech AI Drug Discovery Software Products, Services and Solutions
7.13.4 Genentech AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.13.5 Genentech Recent Developments
7.14 Merck
7.14.1 Merck Profile
7.14.2 Merck Main Business
7.14.3 Merck AI Drug Discovery Software Products, Services and Solutions
7.14.4 Merck AI Drug Discovery Software Revenue (US$ Million) & (2019-2024)
7.14.5 Merck Recent Developments
8 Industry Chain Analysis
8.1 AI Drug Discovery Software Industrial Chain
8.2 AI Drug Discovery Software 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 AI Drug Discovery Software Sales Model
8.5.2 Sales Channel
8.5.3 AI Drug Discovery Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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