Astute Analytica recently unveiled a new research report on the global Ai-in-Drug Discovery Market. The report acts as an entry point to the extensive realm of the Ai-in-Drug Discovery Market. As businesses continue to develop and adjust to evolving customer needs and technological progress, it becomes crucial for industry participants to grasp the dynamics of the market.
Research Methodology
The AI in Drug Discovery Market is expected to reach USD 8.10 billion by 2030, growing at a CAGR of 25% during the forecast period 2023-2030. The AI in Drug Discovery Market is rising at a global level with growing investment in healthcare infrastructure.
The report begins by providing a comprehensive overview of the Ai-in-Drug Discovery Market, including its definition, classification, and wide-ranging scope. It also describes the goals of the detailed study and explains the meticulous approach used to gather and analyze the data. The report goes a step further to clarify important industry terms and concepts, enabling a deep understanding of the information presented.
Let’s discuss in detail what the report further brings.
About the Ai-in-Drug Discovery Market
Artificial Intelligence (AI) is a technological system designed with a set of domains including knowledge representation, reasoning, solution search, and machine learning to mimic human intelligence. AI has the potential to interpret and learn from the input data to make independent decisions by using the system, software, tools, and network. The increasing applications of AI in various sectors particularly the pharmaceutical industry have greatly expanded the market in recent times. In this technical era, AI is used in drug discovery, drug repurposing, productivity improvement, and workload reduction in the pharmaceutical sector.
What are the dynamics shaping the market growth?
The part pertaining to the elements propelling the expansion of the keyword industry offers a thorough synopsis of the principal drivers behind this growth. It explores a multifaceted examination that highlights how the market is intricate.
The following aspects are discussed in detail:
Navigating the Competitive Landscape with Fierce Ingenuity
The segment devoted to the competitive environment of the Ai-in-Drug Discovery Market provides a thorough examination of the major participants in the market, their tactics, and their effects on the sector. This section seeks to give a thorough grasp of the dynamics of the markets, the function of large corporations, and the tactics they use to succeed. The analysis includes a number of important elements:
Key Players
IBM Corporation, Microsoft Corporation, Google, NVIDIA Corporation, Cloud Pharmaceuticals, Inc., Indivumed GmbH, Deep Genomics, Atomwise, Inc., Insilico Medicine, Exscientia, Bioage, and Envisagenics, among others.
Geographical Presence: An Overview of the Dominated Region
The segment devoted to the market’s regional analysis offers a thorough examination of the market’s performance in several geographic locations. This research acknowledges that regional differences can have a substantial impact on market dynamics and that markets are not homogeneous. In order to give stakeholders useful insights, the research explores the nuances of each region: North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa.
Segmentation Outline
The report promises to offer a comprehensive view of these categories, acknowledging that the market is not a single, monolithic entity but rather a composite of multiple sectors. It claims to provide information on their sizes, probable growth paths, and major trends. This focused information helps stakeholders carve out specific tactics and guarantee efficient use of resources.
By Offering
- Software
- Service
By Technology
- Machine Learning
- Deep Learning
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
- Other Machine Learning Technologies
- Others Technologies
By Application
- Drug optimization and repurposing
- Preclinical testing
- Others
By Therapeutic Area
- Cardiovascular Disease
- Infectious Disease
- Metabolic Diseases
- Neurodegenerative Diseases
- Oncology
- Others
By End-User
- Contract Research Organizations
- Pharmaceutical & Biotechnology Companies
- Research Centres and Academic & Government Institutes