Overview

Global Artificial Intelligence (AI) in Drug Discovery Market was valued at USD 885.32 million in 2022 and is slated to reach USD 1,39,88.71 million by 2030 at a CAGR of 23.87% from 2023-2030.

The Artificial Intelligence (AI) in Drug Discovery Market is a rapidly evolving sector leveraging advanced technologies to enhance pharmaceutical research. AI algorithms analyze vast datasets, accelerating drug discovery processes and predicting potential drug candidates. This transformative approach optimizes target identification, compound screening, and clinical trial design, reducing time and costs. Machine learning models identify patterns, prioritize molecules, and streamline decision-making for drug development.

The report contains a thorough study of the global Artificial Intelligence (AI) in Drug Discovery Market Size. It has successfully pointed out the key factors that have substantial impact on the Artificial Intelligence (AI) in Drug Discovery market. This report is based on result of a well-planned research methodology. The methodology employed both primary and secondary research tools. These tools aid the researchers to collect authentic data and arrive at a definite conclusion.

The prevailing competitors in the global Artificial Intelligence (AI) in Drug Discovery market has also been portrayed in the report, offering an opportunity to the market players to gauge their performance.The report has been prepared after studying the different parameters ruling the global Artificial Intelligence (AI) in Drug Discovery market and the forecast period has been estimated from Artificial Intelligence (AI) in Drug Discovery - Artificial Intelligence (AI) in Drug Discovery.

The forecast period is the time period when the key driving factors and parameters will help the market to flourish significantly.

 However, the report has also outlined the factors that can slowdown the growth of the global Artificial Intelligence (AI) in Drug Discovery market.

Market Segmentation

Global Artificial Intelligence (AI) in Drug Discovery Market is segmented into By Component, Technology, Application Type, Therapeutic Area, and End Use.

By Component such as Software Services. By Technology such as Machine Learning Deep Learning Supervised Learning Unsupervised Learning Other Machine Learning Technologies Other Technologies.

By Application Type such as Molecular library screening Target Identification Drug Optimization and Repurposing De novo Drug Designing Preclinical Testing. By Therapeutic Area such as Oncology Neurodegenerative Diseases Inflammatory Infectious Diseases Metabolic Diseases Rare Diseases Cardiovascular Diseases Other Therapeutic Areas. By End Use such as Pharmaceutical and Biotechnology Companies Contract Research Organization (CROs).

 Regional Description

Global Artificial Intelligence (AI) in Drug Discovery market has been segmented into Europe, the Americas, Asia Pacific, and the Middle East Africa. This part of the report provides an exhaustive view of the regional scope existing in the global Artificial Intelligence (AI) in Drug Discovery market. The recent market trends and preferences dominating each region have a direct impact on the industries. The report tries to exploit the recent trends and preferences prevailing in a region to provide the users with a clear picture of the business potential existing in that region.

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Research Methodology

The primary research procedure is based on results of face-to-face interviews with industry experts and consumers. The secondary research process includes an intricate study of the scholarly journals and reports available online.

Key Players

This report includes a list of numerous Key Players, NVIDIA Corporation, IBM Corp., Atomwise Inc., Microsoft, Benevolent AI, Aria Pharmaceuticals, Inc., DEEP GENOMICS, Exscientia, Cloud, Insilico Medicine, Cyclica, NuMedii, Inc., Envisagenics, Owkin Inc., BERG LLC, Schrödinger, Inc., XtalPi Inc. and BIOAGE Inc.

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