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Global Artificial Intelligence (AI) in Biotechnology Market Strategic Research Report

Global Artificial Intelligence (AI) in Biotechnology Market …
$3,500 USD
Market Research Reports
Strategic Research Report
Global Artificial Intelligence (AI) in Biotechnology Market
$4.06B2025
22.3%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Hardware, Software and Services

By Application: Agriculture Biotechnology, Medical Biotechnology, Animal Biotechnology, Industrial Biotechnology, Others

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: AstraZeneca, Abbott Laboratories, Amgen, Inc., Atomwise, Biogen, Bristol-Myers Squibb, F. Hoffmann-La Roche Ltd., Gilead Sciences, Inc, Johnson & Johnson Services, Inc., Pfizer, Inc., Merck KGaA, Novo Nordisk A/S, Novartis AG, Sanofi

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 120 pages
Market size 2025
$4.06B
Billion USD
Forecast CAGR
22.3%
2025-2032
Forecast 2032
$16.6B
Projected
リージョン
5
Asia Pacific · Latin America · MEA · Europe · North America

概観

Scope of the Report

The global Artificial Intelligence (AI) in Biotechnology market size is predicted to grow from US$ 4,064 million in 2025 to US$ 16,190 million in 2032; it is expected to grow at a CAGR of 22.3% from 2026 to 2032.

AI in biotech is critical for boosting invention in labs and throughout a medicine"s or chemical compound"s lifecycle. AI-based tools and applications aid in the development of molecule structures per the target market. Machine learning, a subset of artificial intelligence, aids in estimating combinations and permutations of different compounds to determine the best combination without the need for manual experiments in the lab. Artificial intelligence"s application in biotech brings about innovations that aid predictive modeling to forecast market demand for a specific drug or chemical. AI in Biotech can also assist in the smart distribution of raw materials needed by the biotech sector via cloud computing.

China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China"s core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China"s data center is less than 1/139 of that of the United States.

This report presents a comprehensive overview of the global Artificial Intelligence (AI) in Biotechnology market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Hardware
  • Software and Services

Segment by Application

  • Agriculture Biotechnology
  • Medical Biotechnology
  • Animal Biotechnology
  • Industrial Biotechnology
  • Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Artificial Intelligence (AI) in Biotechnology market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Agriculture Biotechnology, Medical Biotechnology, Animal Biotechnology evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global Artificial Intelligence (AI) in Biotechnology Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 22.3%
Regional growth momentum
Market share by segment
Key metrics
Base value
$4.06B
2025
Forecast
$16.6B
2032
CAGR
22.3%
2025–2032
リージョン
5
global
Key companies
AstraZenecaAbbott LaboratoriesAmgen, Inc.AtomwiseBiogenBristol-Myers SquibbF. Hoffmann-La Roche Ltd.Gilead Sciences, Inc
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
HardwareSoftware and Services
By Application
Agriculture BiotechnologyMedical BiotechnologyAnimal BiotechnologyIndustrial BiotechnologyOthers

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Hardware
  • 3.1.3 Software and Services
  • 3.1.4 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Agriculture Biotechnology
  • 4.1.3 Medical Biotechnology
  • 4.1.4 Animal Biotechnology
  • 4.1.5 Industrial Biotechnology
  • 4.1.6 Others
  • 4.1.7 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 AstraZeneca
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Abbott Laboratories
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Amgen, Inc.
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Atomwise
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Biogen
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Bristol-Myers Squibb
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 F. Hoffmann-La Roche Ltd.
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Gilead Sciences, Inc
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Johnson & Johnson Services, Inc.
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Pfizer, Inc.
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Merck KGaA
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 Novo Nordisk A/S
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Novartis AG
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Sanofi
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

How big is the global Artificial Intelligence (AI) in Biotechnology market?
The global Artificial Intelligence (AI) in Biotechnology market is estimated at US$ 4.06 billion in 2025 (base year) and is projected to reach US$ 16.19 billion by 2032.
How fast is the Artificial Intelligence (AI) in Biotechnology market expected to grow?
The market is expected to grow at a CAGR of 22.3% from 2026 to 2032, expanding from US$ 4.06 billion in 2025 to US$ 16.19 billion in 2032, roughly 4.0 times its base-year value.
What does the Artificial Intelligence (AI) in Biotechnology market cover?
AI in biotech is critical for boosting invention in labs and throughout a medicine"s or chemical compound"s lifecycle. AI-based tools and applications aid in the development of molecule structures per the target market. Machine learning, a subset of artificial intelligence, aids in estimating combinations and permutations of different compounds to determine the best combination without the need for manual experiments in the lab.
How is the Artificial Intelligence (AI) in Biotechnology market segmented by type?
By type, the market is segmented into Hardware and Software and Services.
What are the key applications of Artificial Intelligence (AI) in Biotechnology?
Key applications covered include Agriculture Biotechnology, Medical Biotechnology, Animal Biotechnology, Industrial Biotechnology and Others.
Which companies are profiled in the Artificial Intelligence (AI) in Biotechnology market report?
Key players profiled include AstraZeneca, Abbott Laboratories, Amgen, Atomwise, Biogen, Bristol-Myers Squibb, F. Hoffmann-La Roche Ltd. and Gilead Sciences, among 14 companies covered in total.
What geographies does the Artificial Intelligence (AI) in Biotechnology market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
Who should buy the Artificial Intelligence (AI) in Biotechnology market report?
The report is intended for manufacturers and solution providers, distributors and end users in Agriculture Biotechnology, Medical Biotechnology and Animal Biotechnology, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the Artificial Intelligence (AI) in Biotechnology market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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01
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02
Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

03
Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

05
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All data sources are cited within the report. View our full research methodology →
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