Industry: Service & Software
Published Date: 2025-07-02
Pages: 159 Pages
Report ld: 4651137
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AI Drug Target Discovery Service Market Size(US$)

CAGR 2025-2031
23.0%
Market Size,2031
USD 14,186
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for AI Drug Target Discovery Service was estimated to be worth US$ 3394 million in 2024 and is forecast to a readjusted size of US$ 14186 million by 2031 with a CAGR of 23.0% during the forecast period 2025-2031.
AI Drug Target Discovery Service refers to a method that uses artificial intelligence technology to identify, validate and screen potential drug targets. By analyzing and mining massive biomedical data, this method uses machine learning, deep learning and other algorithms to predict and identify disease-related biomolecules, which can be used as targets for drug development, thereby accelerating the process of new drug discovery and research and development.
Market Opportunities and Key Drivers:
The AI Drug Target Discovery Service is experiencing unprecedented growth opportunities, with the core driving forces stemming from the triple resonance of technological innovation, policy support, and market demand. This growth is attributed to the disruptive impact of AI technology on the efficiency of drug development: traditional target discovery takes 5-7 years, while AI algorithms can shorten the cycle to 1-2 years, reducing the research cost by 40%-60%, and increasing the success rate of preclinical target validation from less than 10% to over 25%. At the policy level, China's "14th Five-Year Plan" has designated AI pharmaceuticals as a key development area, and the US FDA has also launched an "AI Priority" fast-track approval channel to accelerate the entry of AI-discovered targets into clinical trials. At the market demand end, the explosive growth in the treatment needs for chronic diseases and rare diseases has become the core driving force - for instance, AI successfully identified PD-L1's drug resistance mechanism-derived targets (such as LAG-3) in tumor target discovery, promoting the iteration of immunotherapy; in the rare disease field, AI analyzed the data from the 10,000 Genomes Project to identify new targets such as SMN2 enhancer for SMA (spinal muscular atrophy), filling the gaps in traditional research. Additionally, the capital enthusiasm continues to rise: in 2024, the global financing in the AI pharmaceutical field exceeded 12 billion US dollars, with target discovery enterprises accounting for 35% (such as Insilico Medicine, Exscientia, etc.), and pharmaceutical giants such as Eli Lilly and Roche have deeply invested in AI target platforms through cooperation or acquisition, further catalyzing industry expansion.
Challenges and Future Directions:
The AI Drug Target Discovery Service still faces multiple challenges in terms of data, technology, and ethics. The primary data bottleneck is the foremost issue: the fragmentation of biomedical data and privacy barriers lead to a lack of high-quality training data, for example, only 15% of protein interaction data related to target association meet the requirements of AI models, and the anonymization of patient genetic data weakens the accuracy of target prediction. The insufficient technical maturity also restricts application: deep learning models have poor explainability in predicting target mechanisms (the "black box problem"), resulting in 30% of AI predicted targets being unable to be verified through wet experiments; at the same time, the shortage of interdisciplinary talents separates algorithm development from biological validation, prolonging the transformation cycle. The regulatory and ethical risks are equally prominent: there are no unified standards for the intellectual property rights of AI-generated targets in various countries (such as whether AI can be listed as an inventor of a patent), and algorithm biases may ignore the characteristics of specific populations (such as the missing rate of genetic variation data for African Americans reaching 40%), exacerbating medical inequality. The future direction will focus on technology integration and ecosystem reconstruction: on the one hand, multimodal AI models (such as AlphaFold 3 combined with structure prediction and molecular dynamics simulation) can improve the accuracy of target screening, while quantum computing will solve the computational bottleneck of protein folding simulation; on the other hand, federated learning technology can integrate cross-border medical data under privacy protection, building a "global brain" for target discovery. At the industry level, the "AI + CRO" model (such as the collaboration between Wuxi Chemtech and Insilico) will promote the large-scale validation of targets, and blockchain technology may establish new standards for target data traceability and intellectual property rights confirmation. Ultimately, AI target discovery will evolve from a tool to a platform ecosystem, achieving a paradigm shift from "single-target breakthrough" to "disease network targeting" through open collaboration.
This report aims to provide a comprehensive presentation of the global market for AI Drug Target Discovery Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Drug Target Discovery Service by region & country, by Type, and by Application.
The AI Drug Target Discovery Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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 Target Discovery Service.
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 Target Discovery Service 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 Target Discovery Service 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 Target Discovery Service 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
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TABLE OF CONTENTS
1 Market Overview
1.1 AI Drug Target Discovery Service Product Introduction
1.2 Global AI Drug Target Discovery Service Market Size Forecast (2020-2031)
1.3 AI Drug Target Discovery Service Market Trends & Drivers
1.3.1 AI Drug Target Discovery Service Industry Trends
1.3.2 AI Drug Target Discovery Service Market Drivers & Opportunity
1.3.3 AI Drug Target Discovery Service Market Challenges
1.3.4 AI Drug Target Discovery Service 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 Target Discovery Service Players Revenue Ranking (2024)
2.2 Global AI Drug Target Discovery Service Revenue by Company (2020-2025)
2.3 Key Companies AI Drug Target Discovery Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Drug Target Discovery Service Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Drug Target Discovery Service
2.6 AI Drug Target Discovery Service Market Competitive Analysis
2.6.1 AI Drug Target Discovery Service Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI Drug Target Discovery Service Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Drug Target Discovery Service as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Target Identification Based on Omics Data and Biological Networks
3.1.2 Target Mining Based on Literature and Knowledge Graphs
3.1.3 Target Prediction Based on Structural Bioinformatics
3.1.4 Target Discovery Based on Phenotypic Screening and Virtual Patients
3.2 Global AI Drug Target Discovery Service Sales Value by Type
3.2.1 Global AI Drug Target Discovery Service Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI Drug Target Discovery Service Sales Value, by Type (2020-2031)
3.2.3 Global AI Drug Target Discovery Service Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Pharmaceutical Company
4.1.2 CRO and Universities
4.1.3 Others
4.2 Global AI Drug Target Discovery Service Sales Value by Application
4.2.1 Global AI Drug Target Discovery Service Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI Drug Target Discovery Service Sales Value, by Application (2020-2031)
4.2.3 Global AI Drug Target Discovery Service Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global AI Drug Target Discovery Service Sales Value by Region
5.1.1 Global AI Drug Target Discovery Service Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI Drug Target Discovery Service Sales Value by Region (2020-2025)
5.1.3 Global AI Drug Target Discovery Service Sales Value by Region (2026-2031)
5.1.4 Global AI Drug Target Discovery Service Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI Drug Target Discovery Service Sales Value, 2020-2031
5.2.2 North America AI Drug Target Discovery Service Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI Drug Target Discovery Service Sales Value, 2020-2031
5.3.2 Europe AI Drug Target Discovery Service Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI Drug Target Discovery Service Sales Value, 2020-2031
5.4.2 Asia Pacific AI Drug Target Discovery Service Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI Drug Target Discovery Service Sales Value, 2020-2031
5.5.2 South America AI Drug Target Discovery Service Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Drug Target Discovery Service Sales Value, 2020-2031
5.6.2 Middle East & Africa AI Drug Target Discovery Service Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Drug Target Discovery Service Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI Drug Target Discovery Service Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI Drug Target Discovery Service Sales Value, 2020-2031
6.3.2 United States AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI Drug Target Discovery Service Sales Value, 2020-2031
6.4.2 Europe AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI Drug Target Discovery Service Sales Value, 2020-2031
6.5.2 China AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI Drug Target Discovery Service Sales Value, 2020-2031
6.6.2 Japan AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI Drug Target Discovery Service Sales Value, 2020-2031
6.7.2 South Korea AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI Drug Target Discovery Service Sales Value, 2020-2031
6.8.2 Southeast Asia AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI Drug Target Discovery Service Sales Value, 2020-2031
6.9.2 India AI Drug Target Discovery Service Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI Drug Target Discovery Service Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Exscientia
7.1.1 Exscientia Profile
7.1.2 Exscientia Main Business
7.1.3 Exscientia AI Drug Target Discovery Service Products, Services and Solutions
7.1.4 Exscientia AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.1.5 Exscientia Recent Developments
7.2 Atomwise
7.2.1 Atomwise Profile
7.2.2 Atomwise Main Business
7.2.3 Atomwise AI Drug Target Discovery Service Products, Services and Solutions
7.2.4 Atomwise AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.2.5 Atomwise Recent Developments
7.3 Benevolent AI
7.3.1 Benevolent AI Profile
7.3.2 Benevolent AI Main Business
7.3.3 Benevolent AI AI Drug Target Discovery Service Products, Services and Solutions
7.3.4 Benevolent AI AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.3.5 Benevolent AI Recent Developments
7.4 Insitro
7.4.1 Insitro Profile
7.4.2 Insitro Main Business
7.4.3 Insitro AI Drug Target Discovery Service Products, Services and Solutions
7.4.4 Insitro AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.4.5 Insitro Recent Developments
7.5 Xaira Therapeutics
7.5.1 Xaira Therapeutics Profile
7.5.2 Xaira Therapeutics Main Business
7.5.3 Xaira Therapeutics AI Drug Target Discovery Service Products, Services and Solutions
7.5.4 Xaira Therapeutics AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.5.5 Xaira Therapeutics Recent Developments
7.6 Tempus AI
7.6.1 Tempus AI Profile
7.6.2 Tempus AI Main Business
7.6.3 Tempus AI AI Drug Target Discovery Service Products, Services and Solutions
7.6.4 Tempus AI AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.6.5 Tempus AI Recent Developments
7.7 AbCellera
7.7.1 AbCellera Profile
7.7.2 AbCellera Main Business
7.7.3 AbCellera AI Drug Target Discovery Service Products, Services and Solutions
7.7.4 AbCellera AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.7.5 AbCellera Recent Developments
7.8 Recursion
7.8.1 Recursion Profile
7.8.2 Recursion Main Business
7.8.3 Recursion AI Drug Target Discovery Service Products, Services and Solutions
7.8.4 Recursion AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.8.5 Recursion Recent Developments
7.9 Iktos
7.9.1 Iktos Profile
7.9.2 Iktos Main Business
7.9.3 Iktos AI Drug Target Discovery Service Products, Services and Solutions
7.9.4 Iktos AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.9.5 Iktos Recent Developments
7.10 Genialis
7.10.1 Genialis Profile
7.10.2 Genialis Main Business
7.10.3 Genialis AI Drug Target Discovery Service Products, Services and Solutions
7.10.4 Genialis AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.10.5 Genialis Recent Developments
7.11 Anima Biotech
7.11.1 Anima Biotech Profile
7.11.2 Anima Biotech Main Business
7.11.3 Anima Biotech AI Drug Target Discovery Service Products, Services and Solutions
7.11.4 Anima Biotech AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.11.5 Anima Biotech Recent Developments
7.12 BPGbio
7.12.1 BPGbio Profile
7.12.2 BPGbio Main Business
7.12.3 BPGbio AI Drug Target Discovery Service Products, Services and Solutions
7.12.4 BPGbio AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.12.5 BPGbio Recent Developments
7.13 Cradle
7.13.1 Cradle Profile
7.13.2 Cradle Main Business
7.13.3 Cradle AI Drug Target Discovery Service Products, Services and Solutions
7.13.4 Cradle AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.13.5 Cradle Recent Developments
7.14 Isomorphic Labs
7.14.1 Isomorphic Labs Profile
7.14.2 Isomorphic Labs Main Business
7.14.3 Isomorphic Labs AI Drug Target Discovery Service Products, Services and Solutions
7.14.4 Isomorphic Labs AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.14.5 Isomorphic Labs Recent Developments
7.15 Generate Biomedicines
7.15.1 Generate Biomedicines Profile
7.15.2 Generate Biomedicines Main Business
7.15.3 Generate Biomedicines AI Drug Target Discovery Service Products, Services and Solutions
7.15.4 Generate Biomedicines AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.15.5 Generate Biomedicines Recent Developments
7.16 Latent Labs
7.16.1 Latent Labs Profile
7.16.2 Latent Labs Main Business
7.16.3 Latent Labs AI Drug Target Discovery Service Products, Services and Solutions
7.16.4 Latent Labs AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.16.5 Latent Labs Recent Developments
7.17 Relay Therapeutics
7.17.1 Relay Therapeutics Profile
7.17.2 Relay Therapeutics Main Business
7.17.3 Relay Therapeutics AI Drug Target Discovery Service Products, Services and Solutions
7.17.4 Relay Therapeutics AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.17.5 Relay Therapeutics Recent Developments
7.18 Model Medicines
7.18.1 Model Medicines Profile
7.18.2 Model Medicines Main Business
7.18.3 Model Medicines AI Drug Target Discovery Service Products, Services and Solutions
7.18.4 Model Medicines AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.18.5 Model Medicines Recent Developments
7.19 Nimbus Therapeutics
7.19.1 Nimbus Therapeutics Profile
7.19.2 Nimbus Therapeutics Main Business
7.19.3 Nimbus Therapeutics AI Drug Target Discovery Service Products, Services and Solutions
7.19.4 Nimbus Therapeutics AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.19.5 Nimbus Therapeutics Recent Developments
7.20 Schrödinger
7.20.1 Schrödinger Profile
7.20.2 Schrödinger Main Business
7.20.3 Schrödinger AI Drug Target Discovery Service Products, Services and Solutions
7.20.4 Schrödinger AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.20.5 Schrödinger Recent Developments
7.21 XtalPi
7.21.1 XtalPi Profile
7.21.2 XtalPi Main Business
7.21.3 XtalPi AI Drug Target Discovery Service Products, Services and Solutions
7.21.4 XtalPi AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.21.5 XtalPi Recent Developments
7.22 Insilico Medicine
7.22.1 Insilico Medicine Profile
7.22.2 Insilico Medicine Main Business
7.22.3 Insilico Medicine AI Drug Target Discovery Service Products, Services and Solutions
7.22.4 Insilico Medicine AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.22.5 Insilico Medicine Recent Developments
7.23 Drug Farm
7.23.1 Drug Farm Profile
7.23.2 Drug Farm Main Business
7.23.3 Drug Farm AI Drug Target Discovery Service Products, Services and Solutions
7.23.4 Drug Farm AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.23.5 Drug Farm Recent Developments
7.24 BioMap
7.24.1 BioMap Profile
7.24.2 BioMap Main Business
7.24.3 BioMap AI Drug Target Discovery Service Products, Services and Solutions
7.24.4 BioMap AI Drug Target Discovery Service Revenue (US$ Million) & (2020-2025)
7.24.5 BioMap Recent Developments
8 Industry Chain Analysis
8.1 AI Drug Target Discovery Service Industrial Chain
8.2 AI Drug Target Discovery Service 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 Target Discovery Service Sales Model
8.5.2 Sales Channel
8.5.3 AI Drug Target Discovery Service 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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