According to the research report, the global artificial intelligence (AI) in life sciences market size is expected to touch USD 6.7 Billion by 2030, from USD 1.56 Billion in 2022, growing with a significant CAGR of 20% from 2022 to 2030.
The artificial intelligence (AI) in life sciences report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence (AI) in life sciences in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global artificial intelligence (AI) in life sciences market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence (AI) in life sciences during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
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Report Scope of the Artificial Intelligence (AI) in Life Sciences Market
| Report Coverage | Details |
| Market Size by 2030 | USD 6.7 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 20% |
| Largest Market | North America |
| Fastest Growing Region | Europe |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Offering, Deployment, Application, Geography |
This study covers a detailed segmentation of the global artificial intelligence (AI) in life sciences market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence (AI) in life sciences market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- IBM Corporation
- Atomwise, Inc.
- Nuance Communications, Inc.
- NuMedii, Inc.
- AiCure LLC.
- APIXIO, Inc.
- Insilico Medicine, Inc.
- Enlitic, Inc.
- Sensely, Inc.
- Zebra Medical Vision
Market Segmentation
By Offering
- Software
- Hardware
- Services
By Deployment
- On Premise
- Cloud
By Application
- Medical Diagnosis
- Drug Discovery
- Precision and Personalized Medicine
- Biotechnology
- Clinical Trials
- Patient Monitoring
By Geography
- North America
- U.S.
- Canada
- Europe
- U.K.
- Germany
- France
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Malaysia
- Philippines
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
- GCC
- North Africa
- South Africa
- Rest of the Middle East & Africa
Research Methodology
The research methodology adopted by analysts for compiling the global artificial intelligence (AI) in life sciences report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence (AI) in life sciences market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
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 Life Sciences Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Life Sciences 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 Life Sciences Market, By Offering
8.1. Artificial Intelligence (AI) in Life Sciences Market, by Offering, 2022-2030
8.1.1Software
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence (AI) in Life Sciences Market, By Deployment
9.1. Artificial Intelligence (AI) in Life Sciences Market, by Deployment, 2022-2030
9.1.1. On Premise
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence (AI) in Life Sciences Market, By Application
10.1. Artificial Intelligence (AI) in Life Sciences Market, by Application, 2022-2030
10.1.1. Medical Diagnosis
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Drug Discovery
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Precision and Personalized Medicine
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Biotechnology
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Clinical Trials
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Patient Monitoring
10.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence (AI) in Life Sciences Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.3. Market Revenue and Forecast, by Application (2017-2030)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.1.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.1.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.2.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.2.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.3.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.3.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.6.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Offering (2017-2030)
11.4.7.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.4.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.4.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Offering (2017-2030)
11.5.5.2. Market Revenue and Forecast, by Deployment (2017-2030)
11.5.5.3. Market Revenue and Forecast, by Application (2017-2030)
Chapter 12. Company Profiles
12.1.IBM Corporation
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Atomwise, Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Nuance Communications, Inc.
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. NuMedii, Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. AiCure LLC.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. APIXIO, Inc.
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Insilico Medicine, Inc.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Enlitic, Inc.
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Sensely, Inc.
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Zebra Medical Vision
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
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