by The global artificial intelligence (AI) in biopharmaceutical market size was estimated to be around US$ 0.86 billion in 2022. It is projected to reach US$ 14.07 billion by 2032, indicating a CAGR of 32.3% from 2023 to 2032.
Key Takeaways
- By region, North America contributed more than 45% of the revenue share in the artificial intelligence in biopharmaceutical market in 2022. On the other hand, Asia-Pacific is estimated to expand the fastest CAGR between 2023 and 2032.
- By application, the drug discovery segment has held the largest market share of 35% in 2022. Whereas the research segment is anticipated to grow at a remarkable CAGR of 32.8% between 2023 and 2032.
- By technology, the natural language processing segment generated over 32% of revenue share in 2022. Meanwhile, the deep learning segment is expected to expand at the fastest CAGR over the projected period.
- By offering, the hardware segment had the largest market share of 44% in 2022. On the other hand, the service segment is expected to expand at the fastest CAGR over the projected period.
- By deployment, the cloud segment had the largest market share of 52% in 2022.
The market research report on the Artificial intelligence (AI) in biopharmaceutical market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Artificial intelligence (AI) in biopharmaceutical products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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Artificial Intelligence (AI) in Biopharmaceutical Market Scope
| Report Coverage | Details |
| Growth Rate from 2023 to 2032 | CAGR of 32.3% |
| Market Size in 2023 | USD 1.13 Billion |
| Market Size by 2032 | USD 14.07 Billion |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Application, By Technology, By Offering, and By Deployment |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
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The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Artificial intelligence (AI) in biopharmaceutical market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Artificial intelligence (AI) in biopharmaceutical market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Artificial intelligence (AI) in biopharmaceutical products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Artificial intelligence (AI) in biopharmaceutical market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Artificial intelligence (AI) in biopharmaceutical market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Artificial intelligence (AI) in biopharmaceutical market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- IBM Watson Health
- Google Health
- NVIDIA Corporation
- Microsoft Healthcare
- DeepMind
- Atomwise
- Insilico Medicine
- PathAI
- Tempus
- GNS Healthcare
- OWKIN
- Cloud Pharmaceuticals
- Numerate
- Recursion Pharmaceuticals
- Healx
Market Segmentations
By Application
- Drug Discovery
- Precision Medicine
- Medical Imaging & Diagnostics
- Research
By Technology
- Machine Learning
- Natural Language Processing
- Deep Learning
- Others
By Offering
- Hardware
- Software
- Services
By Deployment
- Cloud
- On-Premises
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Biopharmaceutical Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Biopharmaceutical Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Application
8.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Application, 2023-2032
8.1.1. Drug Discovery
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Precision Medicine
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Medical Imaging & Diagnostics
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Research
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Technology
9.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Technology, 2023-2032
9.1.1. Machine Learning
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Natural Language Processing
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Deep Learning
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Others
9.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Offering
10.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Offering, 2023-2032
10.1.1. Hardware
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Software
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Services
10.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Deployment
11.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Deployment, 2023-2032
11.1.1. Cloud
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. On-Premises
11.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence (AI) in Biopharmaceutical Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Application (2020-2032)
12.1.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.3. Market Revenue and Forecast, by Offering (2020-2032)
12.1.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.1.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Application (2020-2032)
12.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.6.3. Market Revenue and Forecast, by Offering (2020-2032)
12.1.6.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Application (2020-2032)
12.2.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.3. Market Revenue and Forecast, by Offering (2020-2032)
12.2.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.2.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Application (2020-2032)
12.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.6.3. Market Revenue and Forecast, by Offering (2020-2032)
12.2.6.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Application (2020-2032)
12.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.7.3. Market Revenue and Forecast, by Offering (2020-2032)
12.2.7.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Application (2020-2032)
12.2.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.8.3. Market Revenue and Forecast, by Offering (2020-2032)
12.2.8.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Application (2020-2032)
12.3.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.3. Market Revenue and Forecast, by Offering (2020-2032)
12.3.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.3.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Application (2020-2032)
12.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.6.3. Market Revenue and Forecast, by Offering (2020-2032)
12.3.6.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Application (2020-2032)
12.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.7.3. Market Revenue and Forecast, by Offering (2020-2032)
12.3.7.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Application (2020-2032)
12.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.8.3. Market Revenue and Forecast, by Offering (2020-2032)
12.3.8.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Application (2020-2032)
12.4.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.3. Market Revenue and Forecast, by Offering (2020-2032)
12.4.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.4.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Application (2020-2032)
12.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.6.3. Market Revenue and Forecast, by Offering (2020-2032)
12.4.6.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Application (2020-2032)
12.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.7.3. Market Revenue and Forecast, by Offering (2020-2032)
12.4.7.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Application (2020-2032)
12.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.8.3. Market Revenue and Forecast, by Offering (2020-2032)
12.4.8.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Application (2020-2032)
12.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.5.3. Market Revenue and Forecast, by Offering (2020-2032)
12.5.5.4. Market Revenue and Forecast, by Deployment (2020-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Application (2020-2032)
12.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.6.3. Market Revenue and Forecast, by Offering (2020-2032)
12.5.6.4. Market Revenue and Forecast, by Deployment (2020-2032)
Chapter 13. Company Profiles
13.1. IBM Watson Health
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Google Health
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. NVIDIA Corporation
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Microsoft Healthcare
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. DeepMind
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Atomwise
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Insilico Medicine
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. PathAI
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Tempus
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. GNS Healthcare
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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