Artificial Intelligence (AI) in Biotechnology Market Industry Size and Growth Forecast 2024-2031: Key Projections Explained| AstraZeneca, Bristol-Myers Squibb, Gilead Sciences, Inc

Global Artificial Intelligence (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 latest market intelligence report published by CMI with the title "Global Artificial Intelligence (AI) in Biotechnology Market 2024, Growth Opportunities, and Forecast" provides actionable insights on Healthcare IT industry. The report provides demand analysis, industry insights, competitive intelligence, and customer database.

The Research report on Artificial Intelligence (AI) in Biotechnology Market presents a complete judgment of the market through strategic insights on future trends, growth factors, supplier landscape, demand landscape, Y-o-Y growth rate, CAGR, pricing analysis. It also provides and a lot of business matrices including Porters Five Forces Analysis, PESTLE Analysis, Value Chain Analysis, 4 Ps' Analysis, Market Attractiveness Analysis, BPS Analysis, Ecosystem Analysis.

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Key Opportunities of Artificial Intelligence (AI) in Biotechnology Market

- Increased Accuracy of Diagnostics

AI algorithms are helping improve the accuracy of disease diagnosis, enabling earlier detection and better patient outcomes.

- Personalized Therapies

AI and machine learning are powering precision medicine by helping match the right treatment to individual patient profiles and genomic data.

- Drug Discovery Revolution

AI is accelerating every step of the drug development process from target identification to clinical trials, reducing costs and time to market.

- Advanced Genomic Analytics

AI solutions are revolutionizing genetic research by enabling faster, more sophisticated analysis of vast genomic and biomedical datasets.

- Integrated Healthcare Systems

AI will play a key role in integrating diagnostics, research, clinical decision-making, and personal health monitoring to create next-generation healthcare delivery models.

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*Note: Sample of the report provides details on the scope and coverage, table of contents, research methodology, and Sample Framework of the report. Actual report of 150+ is available for purchase to all the interested stakeholders.

Detailed Segmentation and Classification of the report (Market Size and Forecast - 2031, Y-o-Y growth rate, and CAGR):

◘ 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

• By Regions and Countries

o North America
o Europe
o Asia-Pacific
o South America
o Middle East & Africa

Following are the players analyzed in the 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

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Deep-dive Analysis:

The Report provides deep-dive qualitative and quantitative analysis on Artificial Intelligence (AI) in Biotechnology Market for all the regions and countries covered below:

➢ North America (the United States, Canada, and Mexico)
➢ Europe (Germany, France, Italy, United Kingdom, SCANDIVAN, Benelux, Russia, and Rest of Europe)
➢ Asia-Pacific (Japan, South Korea, India, China, Southeast Asia, and Australia)
➢ South America (Brazil, Argentina, and Rest of South America)
➢ Middle East & Africa (Saudi Arabia, UAE, Israel, South Africa, and Rest of the Middle East & Africa)
➢ Each Country is covered in detail, and report provides qualitative and quantitative analysis on Artificial Intelligence (AI) in Biotechnology Market on each country.

The research provides answers to the following key questions:

1.What is the estimated growth rate of the market for the forecast period 2024-2031? What will be the market size during the estimated period?
2.What are the key driving forces responsible for shaping the fate of the Artificial Intelligence (AI) in Biotechnology market during the forecast period?
3.Who are the major market vendors and what are the winning strategies that have helped them occupy a strong foothold in the Artificial Intelligence (AI) in Biotechnology market?
4.What are the prominent market trends influencing the development of the Artificial Intelligence (AI) in Biotechnology market across different regions?
5.What are the major threats and challenges likely to act as a barrier in the growth of the Artificial Intelligence (AI) in Biotechnology market?
6.What are the major opportunities the market leaders can rely on to gain success and profitability?

Key insights provided by the report that could help you take critical strategic decisions?

• Regional report analysis highlighting the consumption of products/services in a region also shows the factors that influence the market in each region.
• Reports provide opportunities and threats faced by suppliers in the Artificial Intelligence (AI) in Biotechnology and tubes industry around the world.
• The report shows regions and sectors with the fastest growth potential.
• A competitive environment that includes market rankings of major companies, along with new product launches, partnerships, business expansions, and acquisitions.
• The report provides an extensive corporate profile consisting of company overviews, company insights, product benchmarks, and SWOT analysis for key market participants.
• This report provides the industry's current and future market outlook on the recent development, growth opportunities, drivers, challenges, and two regional constraints emerging in advanced regions.
• This report provides the industry's current and future market outlook on the recent development, growth opportunities, drivers, challenges, and two regional constraints emerging in advanced regions.

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