AI in Drug Discovery market was valued at USD 1163.16 Mn. in 2022, and estimated to reach USD 7104.46 Mn. by 2029, growing at a CAGR of 29.5% during 2023-2029

AI in Drug Discovery Market Report Scope and Research Methodology

The report was prepared using primary and secondary research methodologies. The research was carried out through extensive data mining from various sources such as company websites, press releases, industry reports, and other related sources. The primary research included conducting interviews with key opinion leaders (KOLs), industry experts, and key executives. The secondary research included collecting data from various sources such as company websites, annual reports, SEC filings, and other related sources.

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What are AI in Drug Discovery Market Dynamics?

This report provides a comprehensive analysis of the AI in Drug Discovery Market. It estimates the market in terms of USD value from 2022 to 2029. The report provides an in-depth analysis of the major factors driving and hindering the growth of the AI in Drug Discovery market across the world. It includes a thorough segmental analysis based on offerings, therapeutic insights, and application. The report covers regional insights, including an in-depth understanding of the potential of the AI in Drug Discovery market gained from examining innovation, merger and acquisition, corporate operations, and market value. Additionally, it provides a separate section on the market structure, offering a thorough analysis of the major industry participants and their plans for growth in the world AI in Drug Discovery market. The report aims to provide market participants with an overview of the AI in Drug Discovery Market. The study looks at the market's recent, ongoing, and predicted future changes. It also provides a simple analysis of complex data. The report offers insights into the market's dynamics, including the drivers and restraints. New entrants, industry titans, and followers are some of the primary forces that actively and carefully perform research. The study displays the results of the PORTER and PESTEL analyses, as well as probable outcomes of the microeconomic market elements. After accounting for internal and external variables that can have a favorable or unfavorable impact on the firm, decision-makers will have a clear futuristic perspective of the market.

In many ways, artificial intelligence and machine learning are already developed. The quality of data sets, however presents a substantial obstacle when using Artificial intelligence methods for drug development. Numerous data sets are further challenging factors,while it is generally acknowledged that cooperation is crucial to advancing the use of AI in drug discovery, challenging problems relating to data ownership and sharing confidentially need to be handled. The field currently lacks strong instances of promising leads from the start, and many current technologies have been verified retroactively.

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What is AI in Drug Discovery Market Segmentation?

By Offering

• Software
• Service

By Therapeutic insights

• Oncology
• Neurodegenerative Diseases
• Cardiovascular Diseases
• Metabolic Diseases
• Infectious Diseases
• Others

By Application

• Target Selection and Validation
• Drug Screening and Lead Optimization
• Clinical Studies
• Preclinical studies

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Who are AI in Drug Discovery Market Key Players?

• GNS Healthcare (US)
• BioSymetrics (US)
• BPGbio, Inc (US)
• Atomwise Inc (US)
• Insitro (US)
• NVIDIA Corporation (US)
• IBM Corporation (US)
• Microsoft Corporation (US)
• Aria Pharmaceuticals, Inc. (US)
• Insilico Medicine (US)
• NuMedii, Inc. (US)
• Owkin Inc. (US)
• Schrödinger, Inc. (US)
• DEEP GENOMICS (Canada)
• Cyclica (Canada)
• BenevolentAI (UK)
• Exscientia (UK)
• Iktos (France)
• Euretos (Netherlands)
• Evaxion Biotech A/S (Denmark)
• XtalPi Inc (China)
• Standigm (South Korea)

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Table of content for the AI in Drug Discovery Market includes:


1. Global AI in Drug Discovery Market: Research Methodology

2. Global AI in Drug Discovery Market: Executive Summary

• Market Overview and Definitions
• Introduction to the Global Market
• Summary
• Key Findings
• Recommendations for Investors
• Recommendations for Market Leaders
• Recommendations for New Market Entry

3. Global AI in Drug Discovery Market: Competitive Analysis

• MMR Competition Matrix
• Market Structure by region
• Competitive Benchmarking of Key Players
• Consolidation in the Market
• M&A by region
• Key Developments by Companies
• Market Drivers
• Market Restraints
• Market Opportunities
• Market Challenges
• Market Dynamics
• PORTERS Five Forces Analysis
• PESTLE
• Regulatory Landscape by region
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
• COVID-19 Impact

4. Global AI in Drug Discovery Market Segmentation

• Global Market, by Offering (2021-2029)
• Global Market, by Therapeutic insights (2021-2029)
• Global Market, by Application (2021-2029)

5. Regional AI in Drug Discovery Market (2021-2029)

• Regional Market, by Offering (2021-2029)
• Regional Market, by Therapeutic insights (2021-2029)
• Regional Market, by Application (2021-2029)
• Regional Market, by Country (2021-2029)

6. Company Profile: Key players

• Company Overview
• Financial Overview
• Global Presence
• Capacity Portfolio
• Business Strategy
• Recent Developments

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Key Offerings:

• Past Market Size and Competitive Landscape (2018 to 2021)
• Past Pricing and price curve by region (2018 to 2021)
• Market Size, Share, Size & Forecast by different segment | 2022-2029
• Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by region
• Market Segmentation - A detailed analysis by Product
• Competitive Landscape - Profiles of selected key players by region from a strategic perspective
• Competitive landscape - Market Leaders, Market Followers, Regional player
• Competitive benchmarking of key players by region
• PESTLE Analysis
• PORTER's analysis
• Value chain and supply chain analysis
• Legal Aspects of business by region
• Lucrative business opportunities with SWOT analysis
• Recommendations


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