Global Ai Drug Discovery Market Research Report 2025(Status and Outlook)
Description
Report Overview
The AI drug discovery market leverages artificial intelligence, machine learning, and data analytics to accelerate and optimize the pharmaceutical R&D process, significantly reducing time, cost, and failure rates associated with traditional drug development. AI-driven platforms analyze vast biological datasets, predict drug-target interactions, identify novel compounds, and optimize clinical trial designs, enabling faster translation from preclinical research to market approval. Key technologies include deep learning for molecular modeling, natural language processing for mining biomedical literature, and generative AI for de novo drug design. The market is driven by rising R&D costs, increasing demand for precision medicine, and advancements in computational biology, though challenges such as data privacy, regulatory hurdles, and integration with existing workflows persist. Major players include biotech startups (e.g., BenevolentAI, Insilico Medicine), tech giants (e.g., Google’s DeepMind, NVIDIA), and collaborations between pharma firms and AI specialists (e.g., Pfizer-Tempus, AstraZeneca-Exscientia). Growth is further fueled by investments in AI-powered biotechs and adoption across therapeutic areas like oncology, neurology, and rare diseases.
The global Ai Drug Discovery market size was estimated at USD 1587.99 million in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 28.45% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global Ai Drug Discovery market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global Ai Drug Discovery market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the Ai Drug Discovery market.
Global Ai Drug Discovery Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
Microsoft Corporation
NVIDIA Corporation
IBM Corporation
Google
AtomwiseInc.
Deep Genomics
Cloud PharmaceuticalsInc.
Insilico Medicine
Benevolentai
Exscientia
Cyclica
Bioage
Numerate
Envisagenics
TwoXAR
OwkinInc.
XtalpiInc.
Verge Genomics
Berg LLC
Market Segmentation (by Type)
Software
Services
Market Segmentation (by Application)
Immuno-Oncology
Neurodegenerative Diseases
Cardiovascular Disease
Metabolic Diseases
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Ai Drug Discovery Market
Overview of the regional outlook of the Ai Drug Discovery Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, 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 Ai Drug Discovery Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 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 9 shares the main producing countries of Ai Drug Discovery, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
The AI drug discovery market leverages artificial intelligence, machine learning, and data analytics to accelerate and optimize the pharmaceutical R&D process, significantly reducing time, cost, and failure rates associated with traditional drug development. AI-driven platforms analyze vast biological datasets, predict drug-target interactions, identify novel compounds, and optimize clinical trial designs, enabling faster translation from preclinical research to market approval. Key technologies include deep learning for molecular modeling, natural language processing for mining biomedical literature, and generative AI for de novo drug design. The market is driven by rising R&D costs, increasing demand for precision medicine, and advancements in computational biology, though challenges such as data privacy, regulatory hurdles, and integration with existing workflows persist. Major players include biotech startups (e.g., BenevolentAI, Insilico Medicine), tech giants (e.g., Google’s DeepMind, NVIDIA), and collaborations between pharma firms and AI specialists (e.g., Pfizer-Tempus, AstraZeneca-Exscientia). Growth is further fueled by investments in AI-powered biotechs and adoption across therapeutic areas like oncology, neurology, and rare diseases.
The global Ai Drug Discovery market size was estimated at USD 1587.99 million in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 28.45% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global Ai Drug Discovery market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global Ai Drug Discovery market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the Ai Drug Discovery market.
Global Ai Drug Discovery Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
Microsoft Corporation
NVIDIA Corporation
IBM Corporation
AtomwiseInc.
Deep Genomics
Cloud PharmaceuticalsInc.
Insilico Medicine
Benevolentai
Exscientia
Cyclica
Bioage
Numerate
Envisagenics
TwoXAR
OwkinInc.
XtalpiInc.
Verge Genomics
Berg LLC
Market Segmentation (by Type)
Software
Services
Market Segmentation (by Application)
Immuno-Oncology
Neurodegenerative Diseases
Cardiovascular Disease
Metabolic Diseases
Others
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Ai Drug Discovery Market
Overview of the regional outlook of the Ai Drug Discovery Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, product type, 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 Ai Drug Discovery Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 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 9 shares the main producing countries of Ai Drug Discovery, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
125 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of Ai Drug Discovery
- 1.2 Key Market Segments
- 1.2.1 Ai Drug Discovery Segment by Type
- 1.2.2 Ai Drug Discovery Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 Ai Drug Discovery Market Overview
- 2.1 Global Market Overview
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 Ai Drug Discovery Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global Ai Drug Discovery Product Life Cycle
- 3.3 Global Ai Drug Discovery Revenue Market Share by Company (2020-2025)
- 3.4 Ai Drug Discovery Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.5 Ai Drug Discovery Company Headquarters, Area Served, Product Type
- 3.6 Ai Drug Discovery Market Competitive Situation and Trends
- 3.6.1 Ai Drug Discovery Market Concentration Rate
- 3.6.2 Global 5 and 10 Largest Ai Drug Discovery Players Market Share by Revenue
- 3.6.3 Mergers & Acquisitions, Expansion
- 4 Ai Drug Discovery Value Chain Analysis
- 4.1 Ai Drug Discovery Value Chain Analysis
- 4.2 Midstream Market Analysis
- 4.3 Downstream Customer Analysis
- 5 The Development and Dynamics of Ai Drug Discovery Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 PEST Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global Ai Drug Discovery Market Porter's Five Forces Analysis
- 6 Ai Drug Discovery Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global Ai Drug Discovery Market Size Market Share by Type (2020-2025)
- 6.3 Global Ai Drug Discovery Market Size Growth Rate by Type (2021-2025)
- 7 Ai Drug Discovery Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global Ai Drug Discovery Market Size (M USD) by Application (2020-2025)
- 7.3 Global Ai Drug Discovery Sales Growth Rate by Application (2020-2025)
- 8 Ai Drug Discovery Market Segmentation by Region
- 8.1 Global Ai Drug Discovery Market Size by Region
- 8.1.1 Global Ai Drug Discovery Market Size by Region
- 8.1.2 Global Ai Drug Discovery Market Size Market Share by Region
- 8.2 North America
- 8.2.1 North America Ai Drug Discovery Market Size by Country
- 8.2.2 U.S.
- 8.2.3 Canada
- 8.2.4 Mexico
- 8.3 Europe
- 8.3.1 Europe Ai Drug Discovery Market Size by Country
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 U.K.
- 8.3.5 Italy
- 8.3.6 Spain
- 8.4 Asia Pacific
- 8.4.1 Asia Pacific Ai Drug Discovery Market Size by Region
- 8.4.2 China
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 India
- 8.4.6 Southeast Asia
- 8.5 South America
- 8.5.1 South America Ai Drug Discovery Market Size by Country
- 8.5.2 Brazil
- 8.5.3 Argentina
- 8.5.4 Columbia
- 8.6 Middle East and Africa
- 8.6.1 Middle East and Africa Ai Drug Discovery Market Size by Region
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Egypt
- 8.6.5 Nigeria
- 8.6.6 South Africa
- 9 Key Companies Profile
- 9.1 Microsoft Corporation
- 9.1.1 Microsoft Corporation Basic Information
- 9.1.2 Microsoft Corporation Ai Drug Discovery Product Overview
- 9.1.3 Microsoft Corporation Ai Drug Discovery Product Market Performance
- 9.1.4 Microsoft Corporation SWOT Analysis
- 9.1.5 Microsoft Corporation Business Overview
- 9.1.6 Microsoft Corporation Recent Developments
- 9.2 NVIDIA Corporation
- 9.2.1 NVIDIA Corporation Basic Information
- 9.2.2 NVIDIA Corporation Ai Drug Discovery Product Overview
- 9.2.3 NVIDIA Corporation Ai Drug Discovery Product Market Performance
- 9.2.4 NVIDIA Corporation SWOT Analysis
- 9.2.5 NVIDIA Corporation Business Overview
- 9.2.6 NVIDIA Corporation Recent Developments
- 9.3 IBM Corporation
- 9.3.1 IBM Corporation Basic Information
- 9.3.2 IBM Corporation Ai Drug Discovery Product Overview
- 9.3.3 IBM Corporation Ai Drug Discovery Product Market Performance
- 9.3.4 IBM Corporation SWOT Analysis
- 9.3.5 IBM Corporation Business Overview
- 9.3.6 IBM Corporation Recent Developments
- 9.4 Google
- 9.4.1 Google Basic Information
- 9.4.2 Google Ai Drug Discovery Product Overview
- 9.4.3 Google Ai Drug Discovery Product Market Performance
- 9.4.4 Google Business Overview
- 9.4.5 Google Recent Developments
- 9.5 AtomwiseInc.
- 9.5.1 AtomwiseInc. Basic Information
- 9.5.2 AtomwiseInc. Ai Drug Discovery Product Overview
- 9.5.3 AtomwiseInc. Ai Drug Discovery Product Market Performance
- 9.5.4 AtomwiseInc. Business Overview
- 9.5.5 AtomwiseInc. Recent Developments
- 9.6 Deep Genomics
- 9.6.1 Deep Genomics Basic Information
- 9.6.2 Deep Genomics Ai Drug Discovery Product Overview
- 9.6.3 Deep Genomics Ai Drug Discovery Product Market Performance
- 9.6.4 Deep Genomics Business Overview
- 9.6.5 Deep Genomics Recent Developments
- 9.7 Cloud PharmaceuticalsInc.
- 9.7.1 Cloud PharmaceuticalsInc. Basic Information
- 9.7.2 Cloud PharmaceuticalsInc. Ai Drug Discovery Product Overview
- 9.7.3 Cloud PharmaceuticalsInc. Ai Drug Discovery Product Market Performance
- 9.7.4 Cloud PharmaceuticalsInc. Business Overview
- 9.7.5 Cloud PharmaceuticalsInc. Recent Developments
- 9.8 Insilico Medicine
- 9.8.1 Insilico Medicine Basic Information
- 9.8.2 Insilico Medicine Ai Drug Discovery Product Overview
- 9.8.3 Insilico Medicine Ai Drug Discovery Product Market Performance
- 9.8.4 Insilico Medicine Business Overview
- 9.8.5 Insilico Medicine Recent Developments
- 9.9 Benevolentai
- 9.9.1 Benevolentai Basic Information
- 9.9.2 Benevolentai Ai Drug Discovery Product Overview
- 9.9.3 Benevolentai Ai Drug Discovery Product Market Performance
- 9.9.4 Benevolentai Business Overview
- 9.9.5 Benevolentai Recent Developments
- 9.10 Exscientia
- 9.10.1 Exscientia Basic Information
- 9.10.2 Exscientia Ai Drug Discovery Product Overview
- 9.10.3 Exscientia Ai Drug Discovery Product Market Performance
- 9.10.4 Exscientia Business Overview
- 9.10.5 Exscientia Recent Developments
- 9.11 Cyclica
- 9.11.1 Cyclica Basic Information
- 9.11.2 Cyclica Ai Drug Discovery Product Overview
- 9.11.3 Cyclica Ai Drug Discovery Product Market Performance
- 9.11.4 Cyclica Business Overview
- 9.11.5 Cyclica Recent Developments
- 9.12 Bioage
- 9.12.1 Bioage Basic Information
- 9.12.2 Bioage Ai Drug Discovery Product Overview
- 9.12.3 Bioage Ai Drug Discovery Product Market Performance
- 9.12.4 Bioage Business Overview
- 9.12.5 Bioage Recent Developments
- 9.13 Numerate
- 9.13.1 Numerate Basic Information
- 9.13.2 Numerate Ai Drug Discovery Product Overview
- 9.13.3 Numerate Ai Drug Discovery Product Market Performance
- 9.13.4 Numerate Business Overview
- 9.13.5 Numerate Recent Developments
- 9.14 Envisagenics
- 9.14.1 Envisagenics Basic Information
- 9.14.2 Envisagenics Ai Drug Discovery Product Overview
- 9.14.3 Envisagenics Ai Drug Discovery Product Market Performance
- 9.14.4 Envisagenics Business Overview
- 9.14.5 Envisagenics Recent Developments
- 9.15 TwoXAR
- 9.15.1 TwoXAR Basic Information
- 9.15.2 TwoXAR Ai Drug Discovery Product Overview
- 9.15.3 TwoXAR Ai Drug Discovery Product Market Performance
- 9.15.4 TwoXAR Business Overview
- 9.15.5 TwoXAR Recent Developments
- 9.16 OwkinInc.
- 9.16.1 OwkinInc. Basic Information
- 9.16.2 OwkinInc. Ai Drug Discovery Product Overview
- 9.16.3 OwkinInc. Ai Drug Discovery Product Market Performance
- 9.16.4 OwkinInc. Business Overview
- 9.16.5 OwkinInc. Recent Developments
- 9.17 XtalpiInc.
- 9.17.1 XtalpiInc. Basic Information
- 9.17.2 XtalpiInc. Ai Drug Discovery Product Overview
- 9.17.3 XtalpiInc. Ai Drug Discovery Product Market Performance
- 9.17.4 XtalpiInc. Business Overview
- 9.17.5 XtalpiInc. Recent Developments
- 9.18 Verge Genomics
- 9.18.1 Verge Genomics Basic Information
- 9.18.2 Verge Genomics Ai Drug Discovery Product Overview
- 9.18.3 Verge Genomics Ai Drug Discovery Product Market Performance
- 9.18.4 Verge Genomics Business Overview
- 9.18.5 Verge Genomics Recent Developments
- 9.19 Berg LLC
- 9.19.1 Berg LLC Basic Information
- 9.19.2 Berg LLC Ai Drug Discovery Product Overview
- 9.19.3 Berg LLC Ai Drug Discovery Product Market Performance
- 9.19.4 Berg LLC Business Overview
- 9.19.5 Berg LLC Recent Developments
- 10 Ai Drug Discovery Market Forecast by Region
- 10.1 Global Ai Drug Discovery Market Size Forecast
- 10.2 Global Ai Drug Discovery Market Forecast by Region
- 10.2.1 North America Market Size Forecast by Country
- 10.2.2 Europe Ai Drug Discovery Market Size Forecast by Country
- 10.2.3 Asia Pacific Ai Drug Discovery Market Size Forecast by Region
- 10.2.4 South America Ai Drug Discovery Market Size Forecast by Country
- 10.2.5 Middle East and Africa Forecasted Sales of Ai Drug Discovery by Country
- 11 Forecast Market by Type and by Application (2026-2033)
- 11.1 Global Ai Drug Discovery Market Forecast by Type (2026-2033)
- 11.2 Global Ai Drug Discovery Market Forecast by Application (2026-2033)
- 12 Conclusion and Key Findings
Pricing
Currency Rates
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