AI-driven Drug Discovery Market to Flourish with an Impressive CAGR of 45% by 2030 Top Key Players - Entos, Selvita, Benevolent

PRESS RELEASE
Published March 8, 2023

New Jersey, N.J, Mar. 08, 2023 (Digital Journal) - AI-driven drug discovery is the use of artificial intelligence (AI) techniques, such as machine learning, deep learning, and natural language processing, to accelerate and improve the process of discovering new drugs. The drug discovery process involves several stages, including target identification, lead discovery, lead optimization, and clinical trials. AI can be used at each stage of the process to analyze large amounts of data and generate insights that can help researchers identify new drug targets, design and optimize lead compounds, and predict the safety and efficacy of drug candidates.

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The global AI-driven Drug Discovery Market is expected to grow at a significant CAGR of +45% during the forecasting Period (2023 to 2030).

The AI-driven Drug Discovery Market research report provides all the information related to the industry. It gives the markets outlook by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This AI-driven Drug Discovery market research report tracks all the recent developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

Competitive landscape:

This AI-driven Drug Discovery research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include:

  • Entos
  • Selvita
  • Benevolent
  • Exscientia
  • Euretos
  • Illumina with AstraZeneca
  • Novo Nordisk with Microsoft
  • Iktos
  • Aqemia
  • Zephyr AI
  • Cyclicarx
  • Eli Lilly
  • Terray Therapeutics
  • Ardigen
  • ReviveMed
  • Insilico Medicine
  • XtalPi
  • MindRank
  • DP Technology

Market Scenario:

Firstly, this AI-driven Drug Discovery research report introduces the market by providing an overview that includes definitions, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the AI-driven Drug Discovery report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

  • North America
  • South America
  • Asia and Pacific region
  • Middle East and Africa
  • Europe

Segmentation Analysis of the market

The market is segmented based on the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Offering

  • Software
  • Services

Market Segmentation: By Technology

  • Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforcement Learning
  • Unsupervised Learning
  • Other Machine Learning Technologies
  • Other Technologies

Market Segmentation: By Application

  • Immuno-oncology
  • Neurodegenerative diseases
  • Cardiovascular diseases
  • Metabolic diseases
  • Other Applications

Market Segmentation: By End User

  • Pharmaceutical & biotechnology companies
  • Contract research organizations
  • Research centers and academic & government institutes

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An assessment of the market attractiveness about the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants in the global AI-driven Drug Discovery market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

  • A qualitative and quantitative analysis of the current trends, dynamics, and estimations from 2022 to 2029.
  • The analysis tools such as SWOT analysis and Porter's five force analysis are utilized, which explain the potency of the buyers and suppliers to make profit-oriented decisions and strengthen their business.
  • The in-depth market segmentation analysis helps identify the prevailing market opportunities.
  • In the end, this AI-driven Drug Discovery report helps to save you time and money by delivering unbiased information under one roof.

Table of Contents

Global AI-driven Drug Discovery Market Research Report 2022 - 2029

Chapter 1 AI-driven Drug Discovery Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global AI-driven Drug Discovery Market Forecast

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