Artificial Intelligence (AI) in Biotechnology Market Expected to Expand at a Steady 2024-2031 | AstraZeneca, Bristol-Myers Squibb, Gilead Sciences, Inc

Global AI in biotechnology market is estimated to be valued at USD 2.10 Bn in 2024 and is expected to reach USD 7.11 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 19% from 2024 to 2031

The Coherent Market Insights latest study report on changing dynamics of each of the segments and subsegments of the "Artificial Intelligence (AI) in Biotechnology Market" and examines the investment in the market from 2024-2031. The research report contains all of the relevant facts. It provides market insight by providing accurate data to its clients, allowing them to make critical decisions. It provides an overview of the Artificial Intelligence (AI) in Biotechnology market, including its definition, applications, and trends, as well as manufacturing technology. This market research study on keeps track of all the latest advancements and breakthroughs in the Artificial Intelligence (AI) in Biotechnology industry. It provides information on the issues encountered while starting a business and offers advice on how to overcome them.

Various factors are responsible for the market's growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Artificial Intelligence (AI) in Biotechnology market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and carters, the threat from new entrants and product substitutes, and the degree of competition prevailing in the market.

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The study also includes company reviews, revenue sharing, and a SWOT analysis of the leading players in the Artificial Intelligence (AI) in Biotechnology industry. The Artificial Intelligence (AI) in Biotechnology market report provides a detailed analysis of the specific factors that are changing and putting you ahead of the competition. These market measurement tools help identify drivers, restraints, weaknesses, Artificial Intelligence (AI) in Biotechnology market opportunities, and threats.

Top Companies Covered In This Report:

✤ 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
✤ Deep Genomics
✤ NVIDIA Corporation
✤ Verge Genomics
✤ Recursion Pharmaceuticals

Artificial Intelligence (AI) in Biotechnology Market Overview:

The segmental analysis offered in the report pinpoints key opportunities available in the Artificial Intelligence (AI) in Biotechnology market through leading segments. The regional study of the Artificial Intelligence (AI) in Biotechnology market included in the report helps readers to gain a sound understanding of the development of different geographical markets in recent years and also going forth. We have provided a detailed study on the critical dynamics of the Artificial Intelligence (AI) in Biotechnology market, which include the market influence and market effect factors, drivers, challenges, restraints, trends, and prospects. The research study also includes other types of analysis such as qualitative and quantitative.

Segmentation by Product/Services Types:

By Component: Software, Hardware, Services
By Application: Drug Discovery & Development, Clinical Trials & Optimization, Medical Imaging, Diagnostics, Others
By End User: Pharmaceutical Companies, Biotechnology Companies, Academic & Research Institutes, Healthcare Providers, CRO & CDMO, Others

Regions Covered in the Global Artificial Intelligence (AI) in Biotechnology Market Report 2024:

➟ The Middle East and Africa (GCC Countries and Egypt)
➟ North America (the United States, Mexico, and Canada)
➟ South America (Brazil etc.)
➟ Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
➟ Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

Scope of this Report :

✅ This report segments the global Artificial Intelligence (AI) in Biotechnology market comprehensively and provides the closest approximations of the revenues for the overall market and the sub-segments across different verticals and regions.

✅ The report helps stakeholders understand the pulse of the Artificial Intelligence (AI) in Biotechnology market and provides them with information on key market drivers, restraints, challenges, and opportunities.

✅ This report will help stakeholders to understand competitors better and gain more insights to better their position in their businesses. The competitive landscape section includes the competitor ecosystem, new product development, agreement, and acquisitions.

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What are the Key Dynamic Factors that are Detailed in the Report?

✤Key Market Dynamics: The Artificial Intelligence (AI) in Biotechnology Market research report details the latest industry trends, growth patterns, and research methodologies. The factors that directly contribute to the growth of the market include the production strategies and methodologies, development platforms, and the product model itself, wherein a small change would result in further changes in the overall report. All of these factors are explained in detail in the research study.

✤Market Outlook: The report also sheds light on some of the major factors, including R&D, new product launches, M&A, agreements, partnerships, joint ventures, collaborations, and growth of the key industry participants, on a regional and global basis.

✤Major Features: The report provides a thorough analysis of some of the significant factors, which include cost, capacity, capacity utilization rate, production, revenue, production rate, consumption, import/export, supply/demand, gross, market share, CAGR, and gross margin. Besides, the report provides a comprehensive study of the key influencing factors and market inclinations, in addition to the relevant market segments and sub-segments.

✤Analytical Tools: The Artificial Intelligence (AI) in Biotechnology Market report consists of precisely studying and evaluating information of the key players and their market scope using several analytical tools, including SWOT analysis, Porter's five forces analysis, investment return analysis, and feasibility study. These tools have been used to efficiently study the growth of major industry participants.

✤Potential Customers: The report offers detailed insights to users, service providers, suppliers, manufacturers, stockholders, and individuals who are interested in evaluating and self-studying this market.

Reasons to buy the report:

👉 To provide a comprehensive picture of the Artificial Intelligence (AI) in Biotechnology market, illustrative segmentation, analysis, and forecasting of the market have been undertaken based on type, offering, deployment, process, industry, and region.

👉 In order to offer comprehensive insights into the Artificial Intelligence (AI) in Biotechnology market, a value chain analysis has been completed.

👉 This study provides an in-depth analysis of the Artificial Intelligence (AI) in Biotechnology market's major drivers, restraints, opportunities, and challenges.

👉 The study includes important participants, a comprehensive analysis of their income streams, and a full competitive landscape of the market.

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About Author:

Vaagisha brings over three years of expertise as a content editor in the market research domain. Originally a creative writer, she discovered her passion for editing, combining her flair for writing with a meticulous eye for detail. Her ability to craft and refine compelling content makes her an invaluable asset in delivering polished and engaging write-ups.
(LinkedIn: https://www.linkedin.com/in/vaagisha-singh-8080b91 )

Some of the Major Points of TOC cover:

Chapter 1: Techniques & Scope

1.1 Definition and forecast parameters
1.2 Methodology and forecast parameters
1.3 Information Sources

Chapter 2: Latest Trends Summary

2.1 Regional trends
2.2 Product trends
2.3 End-use trends
2.4 Business trends

Chapter 3: Artificial Intelligence (AI) in Biotechnology Industry Insights

3.1 Industry fragmentation
3.2 Industry landscape
3.3 Vendor matrix
3.4 Technological and innovative landscape

Chapter 4: Artificial Intelligence (AI) in Biotechnology Market, By Region

Chapter 5: Company Profiles

5.1 Company Overview
5.2 Financial elements
5.3 Product Landscape
5.4 SWOT Analysis
5.5 Systematic Outlook

Chapter 6: Assumptions and Acronyms

Chapter 7: Research Methodology

Chapter 8: Contact (Continue . . .)

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