AI in Biotechnology Market – Global Industry Size, Share, Growth, Trends, Opportunity, and Forecast, 2025 – 2033
The integration of artificial intelligence (AI) within the biotechnology sector is transforming how companies approach research and development. By leveraging advanced data analytics and machine learning algorithms, biotechnology firms can enhance their capabilities, optimize processes, and ultimately improve outcomes. Such technology is not merely a trend but a significant evolution in the industry.
AI in Biotechnology Market Size and Trends
The global AI in biotechnology market was valued at USD 3.23 billion in 2024, and is expected to reach USD 14.97 billion by 2033, rising at a CAGR of 21.1% during the forecast period.
AI in Biotechnology Market Growth Drivers
Several factors are driving the growth of AI in the biotechnology market. First, the increasing volume of biological data necessitates advanced analytical tools. Traditional methods are often insufficient to process and interpret large datasets, highlighting the essential role of AI. Furthermore, AI-driven technologies enable faster drug discovery and personalized medicine, streamlining the path from laboratory to market.
Looking ahead, the synergy of AI and biotechnology is poised to unlock new discoveries and efficiency gains, solidifying its importance in the healthcare landscape.
AI in Biotechnology Market Synopsis
This new 2025 market report presents an in-depth assessment of the global AI in biotechnology market dynamics, opportunities, future road map, competitive landscape and discusses major trends. The report offers the most up-to-date industry data on the actual market situation and future outlook in the global AI in biotechnology market. The report also provides up-to-date historical market size data for the period 2022 – 2024 and an illustrative forecast to 2033 covering key market aspects like market value, share, analysis, and trends for the global AI in biotechnology market.
The report provides a detailed analysis of the current industry situation and market requirements, highlighting facts about the market size, market share, revenue for global AI in biotechnology market segments, and a vivid forecast to 2033.
It also provides a comprehensive analysis of the pricing landscape, policies and regulation, and reimbursement pattern by countries and region. The report also offers analysis and information according to categories such as market segments, product offering, end-user, function, deployment, geographies, companies and competitive landscape. The report also provides a detailed description of the porter’s five forces analysis, SWOT analysis, funding, merger and acquisitions, pipeline, growth drivers and challenges of the global AI in biotechnology market.
An in-depth analysis of the main competitors in the industry has been conducted to offer insights into their business profiles, services, primary strategies, contracts, alliances, agreements, new service introductions, mergers and acquisitions, and recent events related to the AI in biotechnology market. This report covers the competitive analysis of new startups in the AI in biotechnology market ecosystem. Additionally, the research also addresses industry-specific trends like technology assessment, ecosystem and market analysis, as well as the patent and regulatory environment, among others
The report will serve as a source for a 360-degree analysis in which various models will be thoroughly integrated. After a thorough study of the historical and current growth parameters, the growth prospects of the global AI in biotechnology market are determined with utmost precision.
AI in Biotechnology Market Segmentations
This new 2025 market report offers a detailed analysis of the AI in biotechnology market based on the following segments:
Market Breakup by Offering
AI in Biotechnology Market Size and Trends
The global AI in biotechnology market was valued at USD 3.23 billion in 2024, and is expected to reach USD 14.97 billion by 2033, rising at a CAGR of 21.1% during the forecast period.
AI in Biotechnology Market Growth Drivers
Several factors are driving the growth of AI in the biotechnology market. First, the increasing volume of biological data necessitates advanced analytical tools. Traditional methods are often insufficient to process and interpret large datasets, highlighting the essential role of AI. Furthermore, AI-driven technologies enable faster drug discovery and personalized medicine, streamlining the path from laboratory to market.
Looking ahead, the synergy of AI and biotechnology is poised to unlock new discoveries and efficiency gains, solidifying its importance in the healthcare landscape.
AI in Biotechnology Market Synopsis
This new 2025 market report presents an in-depth assessment of the global AI in biotechnology market dynamics, opportunities, future road map, competitive landscape and discusses major trends. The report offers the most up-to-date industry data on the actual market situation and future outlook in the global AI in biotechnology market. The report also provides up-to-date historical market size data for the period 2022 – 2024 and an illustrative forecast to 2033 covering key market aspects like market value, share, analysis, and trends for the global AI in biotechnology market.
The report provides a detailed analysis of the current industry situation and market requirements, highlighting facts about the market size, market share, revenue for global AI in biotechnology market segments, and a vivid forecast to 2033.
It also provides a comprehensive analysis of the pricing landscape, policies and regulation, and reimbursement pattern by countries and region. The report also offers analysis and information according to categories such as market segments, product offering, end-user, function, deployment, geographies, companies and competitive landscape. The report also provides a detailed description of the porter’s five forces analysis, SWOT analysis, funding, merger and acquisitions, pipeline, growth drivers and challenges of the global AI in biotechnology market.
An in-depth analysis of the main competitors in the industry has been conducted to offer insights into their business profiles, services, primary strategies, contracts, alliances, agreements, new service introductions, mergers and acquisitions, and recent events related to the AI in biotechnology market. This report covers the competitive analysis of new startups in the AI in biotechnology market ecosystem. Additionally, the research also addresses industry-specific trends like technology assessment, ecosystem and market analysis, as well as the patent and regulatory environment, among others
The report will serve as a source for a 360-degree analysis in which various models will be thoroughly integrated. After a thorough study of the historical and current growth parameters, the growth prospects of the global AI in biotechnology market are determined with utmost precision.
AI in Biotechnology Market Segmentations
This new 2025 market report offers a detailed analysis of the AI in biotechnology market based on the following segments:
Market Breakup by Offering
- End-to-End Solutions
- Niche Solutions
- Technologies
- Services
- Pharmaceutical Companies
- Biotechnology Companies
- Research Institutes & Labs
- Healthcare Providers
- Clinical Research Organizations
- Research & Development
- Regulatory Compliance
- Manufacturing & Supply Chain
- Launch & Commercial
- Post Marketing Surveillance & Patient Support
- Corporate
- Cloud-based Solutions
- On-premise Solutions
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa
- United States
- Canada
- Germany
- United Kingdom
- France
- Italy
- Spain
- Switzerland
- Netherlands
- China
- Japan
- India
- South Korea
- Israel
- Generate Biomedicines
- Exscientia
- Absci Corporation
- Insilico Medicine
- Recursion Pharmaceuticals
- GenBio AI
- Owkin
- DeepMind (Alphabet)
- Cradle Bio
- Antiverse
- Pfizer
- AstraZeneca
- Roche
- Merck
- Novartis
- AstraZeneca
- The global AI in biotechnology market provides granular level information about the market size, market share, historic market (2020 – 2024), and forecast (2025 – 2033)
- Annualized revenues and country level analysis for each market segment.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- The report covers in-detail insights about the competitor’s overview, company share analysis, key market developments, and key strategies.
- The report outlines drivers, restraints, unmet needs, and trends that are currently affecting the market.
- The report tracks recent innovations, key developments, and start-up details that are actively working in the market.
- The report provides a plethora of information about market entry strategies, regulatory framework, and reimbursement scenarios.
- The report analyses the impact of the socio-political environment through SWOT analysis and competition through porter’s five force analysis
- Through study of the key business strategies and recommendations on future market approach.
- Comprehensive analysis of the competitive structure of the market.
- Demand side and supply side analysis of the market
- How big is the global AI in biotechnology market?
- What is the current global AI in biotechnology market size?
- Which product offering is projected to lead the market segment?
- Which end user is likely to dominate the market segment?
- What is the major driving factor for the global AI in biotechnology market?
- Which factor is restraining the growth of the global AI in biotechnology market?
- Who are the key players in the global AI in biotechnology market?
- Which region has the biggest share in the global AI in biotechnology market?
- Which is the fastest growing country in the global AI in biotechnology market?
- How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?
1. MARKET DEFINITION
2. RESEARCH AND METHODOLOGY
3. EXECUTIVE SUMMARY
4. GLOBAL AI IN BIOTECHNOLOGY MARKET – MARKET DYNAMICS
4.1 Growth Drivers
4.2 Challengers
4.3 Funding and Merger & Acquisitions
5. GLOBAL AI IN BIOTECHNOLOGY MARKET – INDUSTRY ANALYSIS
5.1 SWOT Analysis
5.1.1 Strengths
5.1.2 Weaknesses
5.1.3 Opportunities
5.1.4 Threats
5.2 Porter’s Analysis
5.2.1 Threat of New Entrants
5.2.2 Bargaining Power of Suppliers
5.2.3 Bargaining Power of Buyers
5.2.4 Threat of Substitute Products or Services
5.2.5 Rivalry Among Existing Competitors
6. GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
7. GLOBAL AI IN BIOTECHNOLOGY MARKET SHARE & FORECAST (2022 – 2033)
7.1 By Offering
7.2 By Function
7.3 By Deployment Mode
7.4 By End User
7.5 By Region
7.6 By Country
8. BY OFFERING – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
8.1 End-to-End Solutions
8.2 Niche Solutions
8.3 Technologies
8.4 Services
9. BY END USE – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
9.1 Pharmaceutical Companies
9.2 Biotechnology Companies
9.3 Research Institutes & Labs
9.4 Healthcare Providers
9.5 Clinical Research Organizations
10. BY FUNCTION – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
10.1 Research & Development
10.2 Regulatory Compliance
10.3 Manufacturing & Supply Chain
10.4 Launch & Commercial
10.5 Post Marketing Surveillance & Patient Support
10.6 Corporate
11. BY DEPLOYMENT MODE – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
11.1 Cloud-based Solutions
11.2 On-premise Solutions
12. BY REGION – AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
12.1 North America
12.2 Europe
12.3 Asia Pacific
12.4 Latin America
12.5 Middle East & Africa
13. BY COUNTRY – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033) (102 PAGE)
13.1 United States
13.1.1 Market Size
13.1.2 Growth Drivers
13.1.3 Regulatory Policy & Reimbursements
13.2 Canada
13.2.1 Market Size
13.2.2 Growth Drivers
13.2.3 Regulatory Policy & Reimbursements
13.3 Germany
13.3.1 Market Size
13.3.2 Growth Drivers
13.3.3 Regulatory Policy & Reimbursements
13.4 United Kingdom
13.4.1 Market Size
13.4.2 Growth Drivers
13.4.3 Regulatory Policy & Reimbursements
13.5 France
13.5.1 Market Size
13.5.2 Growth Drivers
13.5.3 Regulatory Policy & Reimbursements
13.6 Italy
13.6.1 Market Size
13.6.2 Growth Drivers
13.6.3 Regulatory Policy & Reimbursements
13.7 Spain
13.7.1 Market Size
13.7.2 Growth Drivers
13.7.3 Regulatory Policy & Reimbursements
13.8 Switzerland
13.8.1 Market Size
13.8.2 Growth Drivers
13.8.3 Regulatory Policy & Reimbursements
13.9 Netherlands
13.9.1 Market Size
13.9.2 Growth Drivers
13.9.3 Regulatory Policy & Reimbursements
13.10 China
13.10.1 Market Size
13.10.2 Growth Drivers
13.10.3 Regulatory Policy & Reimbursements
13.11 Japan
13.11.1 Market Size
13.11.2 Growth Drivers
13.11.3 Regulatory Policy & Reimbursements
13.12 India
13.12.1 Market Size
13.12.2 Growth Drivers
13.12.3 Regulatory Policy & Reimbursements
13.13 South Korea
13.13.1 Market Size
13.13.2 Growth Drivers
13.13.3 Regulatory Policy & Reimbursements
13.14 Israel
13.14.1 Market Size
13.14.2 Growth Drivers
13.14.3 Regulatory Policy & Reimbursements
13.15 Rest of the Countries (ROC)
13.15.1 Market Size
13.15.2 Growth Drivers
14. GLOBAL AI IN BIOTECHNOLOGY MARKET – KEY PLAYERS PROFILE
14.1 Generate Biomedicines
14.1.1 Business Overview
14.1.2 Recent Developments
14.1.3 SWOT Analysis
14.1.4 Market Strategy
14.2 Exscientia
14.2.1 Business Overview
14.2.2 Recent Developments
14.2.3 SWOT Analysis
14.2.4 Market Strategy
14.3 Absci Corporation
14.3.1 Business Overview
14.3.2 Recent Developments
14.3.3 SWOT Analysis
14.3.4 Market Strategy
14.4 Insilico Medicine
14.4.1 Business Overview
14.4.2 Recent Developments
14.4.3 SWOT Analysis
14.4.4 Market Strategy
14.5 Recursion Pharmaceuticals
14.5.1 Business Overview
14.5.2 Recent Developments
14.5.3 SWOT Analysis
14.5.4 Market Strategy
14.6 GenBio AI
14.6.1 Business Overview
14.6.2 Recent Developments
14.6.3 SWOT Analysis
14.6.4 Market Strategy
14.7 Owkin
14.7.1 Business Overview
14.7.2 Recent Developments
14.7.3 SWOT Analysis
14.7.4 Market Strategy
14.8 DeepMind (Alphabet)
14.8.1 Business Overview
14.8.2 Recent Developments
14.8.3 SWOT Analysis
14.8.4 Market Strategy
14.9 Cradle Bio
14.9.1 Business Overview
14.9.2 Recent Developments
14.9.3 SWOT Analysis
14.9.4 Market Strategy
14.10 Antiverse
14.10.1 Business Overview
14.10.2 Recent Developments
14.10.3 SWOT Analysis
14.10.4 Market Strategy
14.11 Pfizer
14.11.1 Business Overview
14.11.2 Recent Developments
14.11.3 SWOT Analysis
14.11.4 Market Strategy
14.12 AstraZeneca
14.12.1 Business Overview
14.12.2 Recent Developments
14.12.3 SWOT Analysis
14.12.4 Market Strategy
14.13 Roche
14.13.1 Business Overview
14.13.2 Recent Developments
14.13.3 SWOT Analysis
14.13.4 Market Strategy
14.14 Merck
14.14.1 Business Overview
14.14.2 Recent Developments
14.14.3 SWOT Analysis
14.14.4 Market Strategy
14.15 Novartis
14.15.1 Business Overview
14.15.2 Recent Developments
14.15.3 SWOT Analysis
14.15.4 Market Strategy
14.16 AstraZeneca
14.16.1 Business Overview
14.16.2 Recent Developments
14.16.3 SWOT Analysis
14.16.4 Market Strategy
2. RESEARCH AND METHODOLOGY
3. EXECUTIVE SUMMARY
4. GLOBAL AI IN BIOTECHNOLOGY MARKET – MARKET DYNAMICS
4.1 Growth Drivers
4.2 Challengers
4.3 Funding and Merger & Acquisitions
5. GLOBAL AI IN BIOTECHNOLOGY MARKET – INDUSTRY ANALYSIS
5.1 SWOT Analysis
5.1.1 Strengths
5.1.2 Weaknesses
5.1.3 Opportunities
5.1.4 Threats
5.2 Porter’s Analysis
5.2.1 Threat of New Entrants
5.2.2 Bargaining Power of Suppliers
5.2.3 Bargaining Power of Buyers
5.2.4 Threat of Substitute Products or Services
5.2.5 Rivalry Among Existing Competitors
6. GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
7. GLOBAL AI IN BIOTECHNOLOGY MARKET SHARE & FORECAST (2022 – 2033)
7.1 By Offering
7.2 By Function
7.3 By Deployment Mode
7.4 By End User
7.5 By Region
7.6 By Country
8. BY OFFERING – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
8.1 End-to-End Solutions
8.2 Niche Solutions
8.3 Technologies
8.4 Services
9. BY END USE – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
9.1 Pharmaceutical Companies
9.2 Biotechnology Companies
9.3 Research Institutes & Labs
9.4 Healthcare Providers
9.5 Clinical Research Organizations
10. BY FUNCTION – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
10.1 Research & Development
10.2 Regulatory Compliance
10.3 Manufacturing & Supply Chain
10.4 Launch & Commercial
10.5 Post Marketing Surveillance & Patient Support
10.6 Corporate
11. BY DEPLOYMENT MODE – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
11.1 Cloud-based Solutions
11.2 On-premise Solutions
12. BY REGION – AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033)
12.1 North America
12.2 Europe
12.3 Asia Pacific
12.4 Latin America
12.5 Middle East & Africa
13. BY COUNTRY – GLOBAL AI IN BIOTECHNOLOGY MARKET & FORECAST (2022 – 2033) (102 PAGE)
13.1 United States
13.1.1 Market Size
13.1.2 Growth Drivers
13.1.3 Regulatory Policy & Reimbursements
13.2 Canada
13.2.1 Market Size
13.2.2 Growth Drivers
13.2.3 Regulatory Policy & Reimbursements
13.3 Germany
13.3.1 Market Size
13.3.2 Growth Drivers
13.3.3 Regulatory Policy & Reimbursements
13.4 United Kingdom
13.4.1 Market Size
13.4.2 Growth Drivers
13.4.3 Regulatory Policy & Reimbursements
13.5 France
13.5.1 Market Size
13.5.2 Growth Drivers
13.5.3 Regulatory Policy & Reimbursements
13.6 Italy
13.6.1 Market Size
13.6.2 Growth Drivers
13.6.3 Regulatory Policy & Reimbursements
13.7 Spain
13.7.1 Market Size
13.7.2 Growth Drivers
13.7.3 Regulatory Policy & Reimbursements
13.8 Switzerland
13.8.1 Market Size
13.8.2 Growth Drivers
13.8.3 Regulatory Policy & Reimbursements
13.9 Netherlands
13.9.1 Market Size
13.9.2 Growth Drivers
13.9.3 Regulatory Policy & Reimbursements
13.10 China
13.10.1 Market Size
13.10.2 Growth Drivers
13.10.3 Regulatory Policy & Reimbursements
13.11 Japan
13.11.1 Market Size
13.11.2 Growth Drivers
13.11.3 Regulatory Policy & Reimbursements
13.12 India
13.12.1 Market Size
13.12.2 Growth Drivers
13.12.3 Regulatory Policy & Reimbursements
13.13 South Korea
13.13.1 Market Size
13.13.2 Growth Drivers
13.13.3 Regulatory Policy & Reimbursements
13.14 Israel
13.14.1 Market Size
13.14.2 Growth Drivers
13.14.3 Regulatory Policy & Reimbursements
13.15 Rest of the Countries (ROC)
13.15.1 Market Size
13.15.2 Growth Drivers
14. GLOBAL AI IN BIOTECHNOLOGY MARKET – KEY PLAYERS PROFILE
14.1 Generate Biomedicines
14.1.1 Business Overview
14.1.2 Recent Developments
14.1.3 SWOT Analysis
14.1.4 Market Strategy
14.2 Exscientia
14.2.1 Business Overview
14.2.2 Recent Developments
14.2.3 SWOT Analysis
14.2.4 Market Strategy
14.3 Absci Corporation
14.3.1 Business Overview
14.3.2 Recent Developments
14.3.3 SWOT Analysis
14.3.4 Market Strategy
14.4 Insilico Medicine
14.4.1 Business Overview
14.4.2 Recent Developments
14.4.3 SWOT Analysis
14.4.4 Market Strategy
14.5 Recursion Pharmaceuticals
14.5.1 Business Overview
14.5.2 Recent Developments
14.5.3 SWOT Analysis
14.5.4 Market Strategy
14.6 GenBio AI
14.6.1 Business Overview
14.6.2 Recent Developments
14.6.3 SWOT Analysis
14.6.4 Market Strategy
14.7 Owkin
14.7.1 Business Overview
14.7.2 Recent Developments
14.7.3 SWOT Analysis
14.7.4 Market Strategy
14.8 DeepMind (Alphabet)
14.8.1 Business Overview
14.8.2 Recent Developments
14.8.3 SWOT Analysis
14.8.4 Market Strategy
14.9 Cradle Bio
14.9.1 Business Overview
14.9.2 Recent Developments
14.9.3 SWOT Analysis
14.9.4 Market Strategy
14.10 Antiverse
14.10.1 Business Overview
14.10.2 Recent Developments
14.10.3 SWOT Analysis
14.10.4 Market Strategy
14.11 Pfizer
14.11.1 Business Overview
14.11.2 Recent Developments
14.11.3 SWOT Analysis
14.11.4 Market Strategy
14.12 AstraZeneca
14.12.1 Business Overview
14.12.2 Recent Developments
14.12.3 SWOT Analysis
14.12.4 Market Strategy
14.13 Roche
14.13.1 Business Overview
14.13.2 Recent Developments
14.13.3 SWOT Analysis
14.13.4 Market Strategy
14.14 Merck
14.14.1 Business Overview
14.14.2 Recent Developments
14.14.3 SWOT Analysis
14.14.4 Market Strategy
14.15 Novartis
14.15.1 Business Overview
14.15.2 Recent Developments
14.15.3 SWOT Analysis
14.15.4 Market Strategy
14.16 AstraZeneca
14.16.1 Business Overview
14.16.2 Recent Developments
14.16.3 SWOT Analysis
14.16.4 Market Strategy
