According to the new research report published by Precedence Research, titled “Artificial Intelligence (AI) in Biotechnology Market (By Offering: Software, Hardware, Services; By Applications: Drug Target Identification, Drug Screening, Image Screening, Predictive Modeling; By Usage: Agriculture Biotechnology, Medical Biotechnology, Animal Biotechnology, Industrial Biotechnology) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032”,The artificial intelligence (AI) in biotechnology market provides a deep study of market segments including type, end-use, and region. The report tracks the latest market trends and analyses their overall impact on the market. It also evaluates the market dynamics, which cover the key demand and price indicators, and studies the market on the basis of the SWOT and Porter’s Five Forces models. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on artificial intelligence (AI) in biotechnology market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall artificial intelligence (AI) in biotechnology market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2032. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide artificial intelligence (AI) in biotechnology market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of artificial intelligence (AI) in biotechnology market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
Artificial Intelligence (AI) in Biotechnology Market Report Scope
| Report Coverage | Details |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Segments Covered | By Offering, By Applications and By Usage |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
Also read: Biochar Market Size to Worth US$ 633.31 Billion By 2032
Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence (AI) in biotechnology market.
Some of the prominent players in the artificial intelligence (AI) in biotechnology market include
- AstraZeneca
- Bristol-Myers Squibb
- Gilead Sciences, Inc.
- Sanofi
- Abbott Laboratories
- Biogen
- Pfizer, Inc.
- Novo Nordisk A/S
- Amgen, Inc.
- Merck KGaA
- Johnson & Johnson Services, Inc.
- F. Hoffmann-La Roche Ltd.
- Novartis AG
Artificial Intelligence (AI) in Biotechnology Market Segmentations
By Offering
- Software
- Hardware
- Services
By Applications
- Drug Target Identification
- Drug Screening
- Image Screening
- Predictive Modeling
By Usage
- Agriculture Biotechnology
- Medical Biotechnology
- Animal Biotechnology
- Industrial Biotechnology
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- The Middle East and Africa
Report Objectives
- To define, segment, and project the global market size for artificial intelligence (AI) in biotechnology market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyse their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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 Biotechnology Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Biotechnology 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 Biotechnology Market, By Offering
8.1. Artificial Intelligence (AI) in Biotechnology Market, by Offering, 2023-2032
8.1.1 Software
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Hardware
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) in Biotechnology Market, By Applications
9.1. Artificial Intelligence (AI) in Biotechnology Market, by Applications, 2023-2032
9.1.1. Drug Target Identification
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Drug Screening
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Image Screening
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Predictive Modeling
9.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) in Biotechnology Market, By Usage
10.1. Artificial Intelligence (AI) in Biotechnology Market, by Usage, 2023-2032
10.1.1. Agriculture Biotechnology
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Medical Biotechnology
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Animal Biotechnology
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Industrial Biotechnology
10.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) in Biotechnology Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Offering (2020-2032)
11.1.2. Market Revenue and Forecast, by Applications (2020-2032)
11.1.3. Market Revenue and Forecast, by Usage (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Usage (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Offering (2020-2032)
11.2.2. Market Revenue and Forecast, by Applications (2020-2032)
11.2.3. Market Revenue and Forecast, by Usage (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Usage (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Offering (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Applications (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Usage (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Offering (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Applications (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Usage (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Offering (2020-2032)
11.3.2. Market Revenue and Forecast, by Applications (2020-2032)
11.3.3. Market Revenue and Forecast, by Usage (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Usage (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Offering (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Applications (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Usage (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Offering (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Applications (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Usage (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Usage (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Offering (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Applications (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Usage (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Offering (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Applications (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Usage (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.5.3. Market Revenue and Forecast, by Usage (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Offering (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Applications (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Usage (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Offering (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Applications (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Usage (2020-2032)
Chapter 12. Company Profiles
12.1. AstraZeneca
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Bristol-Myers Squibb
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Gilead Sciences, Inc.
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Sanofi
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Abbott Laboratories
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Biogen
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Pfizer, Inc.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Novo Nordisk A/S
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Amgen, Inc.
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Merck KGaA
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
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence (AI) in biotechnology market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence (AI) in biotechnology are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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