Artificial Intelligence (AI) in Drug Discovery Market Key Manufacturer, Trends, Demand, Share Analysis to 2029

Artificial Intelligence (AI) is described as a machine that uses advanced technology to perform activities related to the human mind. The main goal of drug discovery research is to find drugs that can help prevent or treat certain diseases. Challenges of data testing, collection and application to address critical medical issues in the pharmaceutical sector have increased demand Artificial Intelligence (AI) in the drug discovery market .

Data Bridge Market Research analyzes that the artificial intelligence (AI) in the drug discovery market is expected to reach USD 7,818.93 million by 2029, with a CAGR of 41.0% over the forecast period. Extensive applications of artificial intelligence in various fields of drug discovery, including polypharmacology, chemical synthesis, drug screening, drug design and drug reuse, are expected to drive significant market growth.

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Global Artificial Intelligence (AI) Drug Discovery Market Scope

The drug discovery market is divided into artificial intelligence (AI) supplies, technologies, drug types, applications and end users. Growth across these categories will help you provide valuable market insights and market insights to help users analyze the weak growth segments of industries and make strategic decisions to identify key market applications.

Offer

  • Software
  • Service

On a supply-side basis, artificial intelligence (AI) has been shared in the drug discovery market Software And service.

Technology

  • Machine learning
  • Other technologies

Based on the technology, artificial intelligence (AI) has been shared in the drug discovery market Machine learning And other technologies. Machine learning is divided into deep learning, supervised learning, reinforcement learning, unsupervised learning and other machine learning technologies.

Types of medicines

  • Small molecules
  • Large molecules

Depending on the type of drug, the market for artificial intelligence (AI) is divided into smaller molecules and larger molecules.

Application

  • Immuno-oncology
  • Neurodegenerative diseases
  • Heart disease
  • Metabolic diseases
  • Other apps

On the basis of applications, the market for drug discovery is divided into artificial intelligence (AI) immuno-oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases and other applications.

End user

  • Pharmaceutical and biotechnology companies
  • Contract Research Institute
  • Research centers and universities
  • Government institutions

The artificial intelligence (AI) market for drug discovery is divided on the basis of end users in pharmaceutical and biotechnology companies, contract research institutes, research centers and academic and government institutions.

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Regional Analysis / Insights Artificial Intelligence (AI) of Drug Discovery Market

Artificial Intelligence (AI) is analyzed in the Drug Discovery Market and market size insights and trends are listed above by country, offer, technology, drug type, application and end-user.

The countries covered by Artificial Intelligence (AI) in the Drug Discovery Market Report are the United States, Canada, and Mexico, North America, Germany, France, the United Kingdom, the Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, and the rest of Europe, Europe. , China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Asia-Pacific (APAC), Saudi Arabia, United Arab Emirates, South Africa, Egypt, Israel, Middle East & Africa (ME) ) As part of the Middle East and Africa (MEA), as part of the southern part of South America, Brazil, Argentina and the rest of South America.

Artificial intelligence (AI) is dominating the North American drug discovery market due to increased investment in research and development and the adoption of artificial intelligence (AI) technology in drug discovery. Discovery and development of medicine in this region. Moreover, the strong presence of artificial intelligence (AI) technology vendors like IBM, Google, Microsoft and others will further accelerate the growth rate of the market in this region.

Asia-Pacific is expected to witness significant growth during the 2022 to 2029 forecast period due to increasing investment in research and development activities in the region.

The country segment of the report provides the reasons for influencing individual markets and the regulatory changes in national markets that influence current and future market trends. Data points such as upstream and downstream value chain analysis, technological trends and carrying five force analysis, case studies are some of the indicators used to predict the market situation for each country. Also, the impact of domestic tariffs and trade routes is considered when providing national data forecast analysis of the challenges they face due to the presence and availability of global brands and significant or rare competition from local and national brands.

Competitive Landscape and Artificial Intelligence (AI) in Drug Discovery Market Share Analysis

Artificial Intelligence (AI) in the Drug Discovery market provides details by competing landscape competitors. Company Overview, Company Finances, Revenue Generation, Market Prospects, Research and Development Investments, New Market Initiatives, Global Presence, Location and Production Facilities, Productivity, Company Strengths and Weaknesses, Product Launch, Product Width and Width, Application Dominance. The above data points relate only to companies’ focus on artificial intelligence (AI) in the drug discovery market.

Some of the major players working in Artificial Intelligence (AI) in the drug discovery market are Exscientia plc, Microsoft, NVIDIA Corporation, IBM, Cyclica, Atomwise, Inc., DEEP GENOMICS, Cloud Pharmaceuticals, Inc., Insilico Medicine, Benevolent AI Ltd. , Aria Pharmaceuticals, Inc., NuMedii, Inc., Envisagenics., Owkin Inc., XtalPi Inc., BERG LLC, Euretos, BioAge Labs, Inc., Biosymetrics, and Verge Genomics, among others.

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