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Global Drug Discovery Informatics Market Insights, Forecast to 2029

07-28-2023 04:51 PM CET | Health & Medicine

Press release from: Valuates Reports

Global Drug Discovery Informatics Market Insights, Forecast

The global Drug Discovery Informatics market is projected to grow from US$ 1 million in 2023 to US$ 1 million by 2029, at a Compound Annual Growth Rate (CAGR) of 9.0% during the forecast period.

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Drug Discovery Informatics Market
Market Analysis and Insights: Global Drug Discovery Informatics Market
The US & Canada market for Drug Discovery Informatics is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The China market for Drug Discovery Informatics is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The Europe market for Drug Discovery Informatics is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global key companies of Drug Discovery Informatics include IBM, Infosys, Thermo Fisher Scientific, Perkinelmer, Schrödinger, Dassault Systèmes, Charles River Laboratories, Selvita and Certara, etc. in 2022, the global top five players had a share approximately % in terms of revenue.

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Report Includes
This report presents an overview of global market for Drug Discovery Informatics market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of Drug Discovery Informatics, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Drug Discovery Informatics, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Drug Discovery Informatics revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global Drug Discovery Informatics market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for Drug Discovery Informatics revenue, projected growth trends, production technology, application and end-user industry.

Descriptive company profiles of the major global players, including IBM, Infosys, Thermo Fisher Scientific, Perkinelmer, Schrödinger, Dassault Systèmes, Charles River Laboratories, Selvita and Certara, etc.

Segment by Type
Software
Services

Segment by Application
Pharmaceutical & Biotechnology Companies
Contract Research Organizations (CROs)
Others

By Region
North America (United States, Canada)
Europe (Germany, France, UK, Italy, Russia) Rest of Europe
Nordic Countries
Asia-Pacific (China, Japan, South Korea)
Southeast Asia (India, Australia)
Rest of Asia
Latin America (Mexico, Brazil)
Rest of Latin America
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)

By Company IBM, Infosys, Thermo Fisher Scientific, Perkinelmer, Schrödinger, Dassault Systèmes, Charles River Laboratories, Selvita, Certara, GVK Biosciences, Collaborative Drug Discovery, Openeye Scientific Software, IO Informatics, Novo Informatics

SIMILAR REPORT

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https://reports.valuates.com/market-reports/QYRE-Auto-22N1764/global-artificial-intelligence-in-drug-discovery

https://reports.valuates.com/market-reports/QYRE-Auto-16P12424/global-artificial-intelligence-in-epidemiology

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