Report Overview
Report Overview
AI in Biopharma refers to the application of Artificial Intelligence (AI) and its sub-fields, particularly Machine Learning (ML) and Deep Learning (DL), to transform and accelerate processes across the entire biopharmaceutical value chain. This includes leveraging algorithms to analyze vast and complex biological, chemical, genetic, and clinical datasets to make predictions, recommendations, and automate tasks. The primary goal is to significantly improve the efficiency, speed, and success rate of drug discovery, target identification, compound optimization, clinical trial design, manufacturing, and personalized medicine, ultimately reducing costs and bringing novel therapies to patients faster.
The global AI in Biopharma market size was estimated at USD 1033.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 10.60% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global AI in Biopharma 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 in Biopharma 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 in Biopharma market.
Global AI in Biopharma 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
Recursion Pharmaceuticals
Exscientia
XtalPi
Schrödinger
Owkin
Evogene
BioNTech
MedySapiens
Market Segmentation (by Type)
Machine Learning (ML) & Deep Learning (DL)
Natural Language Processing (NLP)
Others
Market Segmentation (by Application)
Drug Development
Disease Diagnosis and Treatment
Other
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 in Biopharma Market
Overview of the regional outlook of the AI in Biopharma Market:
Customization of the Report
In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.
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 in Biopharma Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the markets 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 Porters 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 in Biopharma, 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
6-month post-sales analyst support
Customization of the Report
In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.
Table of Contents
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of AI in Biopharma
- 1.2 Key Market Segments
- 1.2.1 AI in Biopharma Segment by Type
- 1.2.2 AI in Biopharma 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 in Biopharma Market Overview
- 2.1 Global Market Overview
- 2.1.1 Global AI in Biopharma Market Size (M USD) Estimates and Forecasts (2020-2035)
- 2.1.2 Global AI in Biopharma Sales Estimates and Forecasts (2020-2035)
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 2.1 Global Market Overview
- 3 AI in Biopharma Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global AI in Biopharma Product Life Cycle
- 3.3 Global AI in Biopharma Sales by Manufacturers (2020-2025)
- 3.4 Global AI in Biopharma Revenue Market Share by Manufacturers (2020-2025)
- 3.5 AI in Biopharma Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.6 Global AI in Biopharma Average Price by Manufacturers (2020-2025)
- 3.7 Manufacturers’ Manufacturing Sites, Areas Served, and Product Types
- 3.8 AI in Biopharma Market Competitive Situation and Trends
- 3.8.1 AI in Biopharma Market Concentration Rate
- 3.8.2 Global 5 and 10 Largest AI in Biopharma Players Market Share by Revenue
- 3.8.3 Mergers & Acquisitions, Expansion
- 4 AI in Biopharma Industry Chain Analysis
- 4.1 AI in Biopharma Industry Chain Analysis
- 4.2 Market Overview of Key Raw Materials
- 4.3 Midstream Market Analysis
- 4.4 Downstream Customer Analysis
- 5 The Development and Dynamics of AI in Biopharma 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 in Biopharma Market Porters Five Forces Analysis
- 5.6.1 Global Trade Frictions
- 5.6.2 U.S. Tariff Policy – April 2025
- 5.6.3 Global Trade Frictions and Their Impacts to AI in Biopharma Market
- 5.7 ESG Ratings of Leading Companies
- 6 AI in Biopharma Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global AI in Biopharma Sales Market Share by Type (2020-2025)
- 6.3 Global AI in Biopharma Market Size by Type (2020-2025)
- 6.4 Global AI in Biopharma Price by Type (2020-2025)
- 7 AI in Biopharma Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global AI in Biopharma Market Sales by Application (2020-2025)
- 7.3 Global AI in Biopharma Market Size (M USD) by Application (2020-2025)
- 7.4 Global AI in Biopharma Sales Growth Rate by Application (2020-2025)
- 8 AI in Biopharma Market Sales by Region
- 8.1 Global AI in Biopharma Sales by Region
- 8.1.1 Global AI in Biopharma Sales by Region
- 8.1.2 Global AI in Biopharma Sales Market Share by Region
- 8.2 Global AI in Biopharma Market Size by Region
- 8.2.1 Global AI in Biopharma Market Size by Region
- 8.2.2 Global AI in Biopharma Market Size by Region
- 8.3 North America
- 8.3.1 North America AI in Biopharma Sales by Country
- 8.3.2 North America AI in Biopharma Market Size by Country
- 8.3.3 U.S. Market Overview
- 8.3.4 Canada Market Overview
- 8.3.5 Mexico Market Overview
- 8.4 Europe
- 8.4.1 Europe AI in Biopharma Sales by Country
- 8.4.2 Europe AI in Biopharma Market Size by Country
- 8.4.3 Germany Market Overview
- 8.4.4 France Market Overview
- 8.4.5 U.K. Market Overview
- 8.4.6 Italy Market Overview
- 8.4.7 Spain Market Overview
- 8.5 Asia Pacific
- 8.5.1 Asia Pacific AI in Biopharma Sales by Region
- 8.5.2 Asia Pacific AI in Biopharma Market Size by Region
- 8.5.3 China Market Overview
- 8.5.4 Japan Market Overview
- 8.5.5 South Korea Market Overview
- 8.5.6 India Market Overview
- 8.5.7 Southeast Asia Market Overview
- 8.6 South America
- 8.6.1 South America AI in Biopharma Sales by Country
- 8.6.2 South America AI in Biopharma Market Size by Country
- 8.6.3 Brazil Market Overview
- 8.6.4 Argentina Market Overview
- 8.6.5 Columbia Market Overview
- 8.7 Middle East and Africa
- 8.7.1 Middle East and Africa AI in Biopharma Sales by Region
- 8.7.2 Middle East and Africa AI in Biopharma Market Size by Region
- 8.7.3 Saudi Arabia Market Overview
- 8.7.4 UAE Market Overview
- 8.7.5 Egypt Market Overview
- 8.7.6 Nigeria Market Overview
- 8.7.7 South Africa Market Overview
- 8.1 Global AI in Biopharma Sales by Region
- 9 AI in Biopharma Market Production by Region
- 9.1 Global Production of AI in Biopharma by Region(2020-2025)
- 9.2 Global AI in Biopharma Revenue Market Share by Region (2020-2025)
- 9.3 Global AI in Biopharma Production, Revenue, Price and Gross Margin (2020-2025)
- 9.4 North America AI in Biopharma Production
- 9.4.1 North America AI in Biopharma Production Growth Rate (2020-2025)
- 9.4.2 North America AI in Biopharma Production, Revenue, Price and Gross Margin (2020-2025)
- 9.5 Europe AI in Biopharma Production
- 9.5.1 Europe AI in Biopharma Production Growth Rate (2020-2025)
- 9.5.2 Europe AI in Biopharma Production, Revenue, Price and Gross Margin (2020-2025)
- 9.6 Japan AI in Biopharma Production (2020-2025)
- 9.6.1 Japan AI in Biopharma Production Growth Rate (2020-2025)
- 9.6.2 Japan AI in Biopharma Production, Revenue, Price and Gross Margin (2020-2025)
- 9.7 China AI in Biopharma Production (2020-2025)
- 9.7.1 China AI in Biopharma Production Growth Rate (2020-2025)
- 9.7.2 China AI in Biopharma Production, Revenue, Price and Gross Margin (2020-2025)
- 10 Key Companies Profile
- 10.1 Recursion Pharmaceuticals
- 10.1.1 Recursion Pharmaceuticals Basic Information
- 10.1.2 Recursion Pharmaceuticals AI in Biopharma Product Overview
- 10.1.3 Recursion Pharmaceuticals AI in Biopharma Product Market Performance
- 10.1.4 Recursion Pharmaceuticals Business Overview
- 10.1.5 Recursion Pharmaceuticals SWOT Analysis
- 10.1.6 Recursion Pharmaceuticals Recent Developments
- 10.2 Exscientia
- 10.2.1 Exscientia Basic Information
- 10.2.2 Exscientia AI in Biopharma Product Overview
- 10.2.3 Exscientia AI in Biopharma Product Market Performance
- 10.2.4 Exscientia Business Overview
- 10.2.5 Exscientia SWOT Analysis
- 10.2.6 Exscientia Recent Developments
- 10.3 XtalPi
- 10.3.1 XtalPi Basic Information
- 10.3.2 XtalPi AI in Biopharma Product Overview
- 10.3.3 XtalPi AI in Biopharma Product Market Performance
- 10.3.4 XtalPi Business Overview
- 10.3.5 XtalPi SWOT Analysis
- 10.3.6 XtalPi Recent Developments
- 10.4 Schrödinger
- 10.4.1 Schrödinger Basic Information
- 10.4.2 Schrödinger AI in Biopharma Product Overview
- 10.4.3 Schrödinger AI in Biopharma Product Market Performance
- 10.4.4 Schrödinger Business Overview
- 10.4.5 Schrödinger Recent Developments
- 10.5 Owkin
- 10.5.1 Owkin Basic Information
- 10.5.2 Owkin AI in Biopharma Product Overview
- 10.5.3 Owkin AI in Biopharma Product Market Performance
- 10.5.4 Owkin Business Overview
- 10.5.5 Owkin Recent Developments
- 10.6 Evogene
- 10.6.1 Evogene Basic Information
- 10.6.2 Evogene AI in Biopharma Product Overview
- 10.6.3 Evogene AI in Biopharma Product Market Performance
- 10.6.4 Evogene Business Overview
- 10.6.5 Evogene Recent Developments
- 10.7 BioNTech
- 10.7.1 BioNTech Basic Information
- 10.7.2 BioNTech AI in Biopharma Product Overview
- 10.7.3 BioNTech AI in Biopharma Product Market Performance
- 10.7.4 BioNTech Business Overview
- 10.7.5 BioNTech Recent Developments
- 10.8 MedySapiens
- 10.8.1 MedySapiens Basic Information
- 10.8.2 MedySapiens AI in Biopharma Product Overview
- 10.8.3 MedySapiens AI in Biopharma Product Market Performance
- 10.8.4 MedySapiens Business Overview
- 10.8.5 MedySapiens Recent Developments
- 10.1 Recursion Pharmaceuticals
- 11 AI in Biopharma Market Forecast by Region
- 11.1 Global AI in Biopharma Market Size Forecast
- 11.2 Global AI in Biopharma Market Forecast by Region
- 11.2.1 North America Market Size Forecast by Country
- 11.2.2 Europe AI in Biopharma Market Size Forecast by Country
- 11.2.3 Asia Pacific AI in Biopharma Market Size Forecast by Region
- 11.2.4 South America AI in Biopharma Market Size Forecast by Country
- 11.2.5 Middle East and Africa Forecasted Sales of AI in Biopharma by Country
- 12 Forecast Market by Type and by Application (2026-2035)
- 12.1 Global AI in Biopharma Market Forecast by Type (2026-2035)
- 12.1.1 Global Forecasted Sales of AI in Biopharma by Type (2026-2035)
- 12.1.2 Global AI in Biopharma Market Size Forecast by Type (2026-2035)
- 12.1.3 Global Forecasted Price of AI in Biopharma by Type (2026-2035)
- 12.2 Global AI in Biopharma Market Forecast by Application (2026-2035)
- 12.2.1 Global AI in Biopharma Sales (K MT) Forecast by Application
- 12.2.2 Global AI in Biopharma Market Size (M USD) Forecast by Application (2026-2035)
- 12.1 Global AI in Biopharma Market Forecast by Type (2026-2035)
- 13 Conclusion and Key Findings