Generative AI in Science industry size is expected to be worth around USD 45.9 Bn by 2032 from USD 3.2 Bn in 2022, growing at a CAGR of 31.4% during the forecast period from 2023 to 2032.
Overview:
Generative AI has quickly emerged as an impactful force in science research and development across various domains such as healthcare, materials science, biology, and chemistry. Leveraging machine learning's abilities, it enables scientists to generate, simulate, or augment scientific data models and experiments using neural networks - revolutionizing scientific discovery processes along the way!
Generative AI in Science industry size is expected to be worth around USD 45.9 Bn by 2032 from USD 3.2 Bn in 2022, growing at a CAGR of 31.4% during the forecast period from 2023 to 2032.
Key Market Segments
Based on the Deployment Model
Based on Application
- Drug Discovery
- Material Science
- Medical Imaging and Healthcare
- Astrophysics and Astronomy
- Molecular Biology
- Other Applications
Based on End-User
- Pharmaceutical and Biotechnology companies
- Research Institutions and Academic Institutions
- Healthcare Providers
- Government Organizations
- Other End-Users
Regional Analysis:
Generative AI research and applications have spread globally. The United States remains at the forefront, boasting an expansive ecosystem for AI research with significant investments from both government and private sectors; Europe - particularly Britain and Germany - has made considerable strides in AI for science; China and Japan are showing increasing interest in applying Generative AI across scientific domains, with collaboration likely driving further advancements of Generative AI on a global level.
Top Key Players in Generative AI in Science Market
- NVIDIA
- Insilico Medicine
- Atomwise
- Recursion Pharmaceuticals
- Intel
- Yseop
- BenevolentAI
- Other Key Players
More Info:
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