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Global AI in Pharma and Biotech Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

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ksm 24.06.14

The global demand for AI in Pharma and Biotech Market is presumed to reach the market size of nearly USD 11.88 Billion by 2032 from USD 2.43 Billion in 2023 with a CAGR of 19.28% under the study period 2024-2051.

AI in pharma and biotech uses artificial intelligence to enhance various aspects of drug discovery, development, and manufacturing. AI algorithms analyze vast datasets to identify potential drug candidates, predict clinical trial outcomes, and optimize production processes. This technology accelerates research timelines, reduces costs, and increases the accuracy of predictive models. Applications include personalized medicine, where AI helps tailor treatments to individual genetic profiles, and automation of routine tasks, improving efficiency and innovation in the pharmaceutical and biotech industries.

MARKET DYNAMICS

The AI in the pharma and biotech market is witnessing significant growth attributed to the escalating complexity and volume of biomedical data, necessitating advanced analytical tools for efficient processing and interpretation. AI technologies, including machine learning & deep learning, trigger drug discovery & development by identifying potential drug candidates, predicting their efficacy, and optimizing clinical trial designs. Additionally, the integration of AI in personalized medicine is revolutionizing patient care by allowing the development of tailored treatment plans based on individual genetic profiles and medical histories. The push for cost reduction in drug development and the need for faster time-to-market for new therapies also propel the adoption of AI in Pharma and Biotech. AI-driven solutions enhance productivity and decision-making capabilities, reducing the financial risks associated with R&D. Furthermore, regulatory bodies are increasingly recognizing the potential of AI to enhance the accuracy & efficiency of drug approval processes, encouraging pharmaceutical companies to invest in AI technologies. Collaborations between tech companies and pharmaceutical firms are fostering innovation and expanding the application of AI in various phases of drug development and disease management. As the demand for precision medicine and efficient healthcare solutions grows, the adoption of AI in pharma and biotechs is expected to continue rising, driving further market expansion. However, high implementation costs and data privacy concerns may challenge the market growth in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI in Pharma and Biotech. The growth and trends of AI in Pharma and Biotech industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the AI in Pharma and Biotech market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Application

  • Drug Discovery and Development
  • Clinical Trials and Optimization
  • Predictive Maintenance and Quality Control
  • Drug Target Identification
  • Disease Diagnosis & Prognosis
  • Others

By End-user

  • Pharmaceutical & Biotech Companies
  • Academic & Contract Research Organizations
  • Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the AI in Pharma and Biotech market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI in Pharma and Biotech market include BenevolentAI SA, Insilico Medicine, Recursion Pharmaceuticals, Atomwise Inc., Berg LLC, Cloud Pharmaceuticals, Deep Genomics, Exscientia, SchroDinger, TwoXar Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

TABLE OF CONTENTS

1. PREFACE

  • 1.1. Report Description
    • 1.1.1 Objective
    • 1.1.2 Target Audience
    • 1.1.3 Unique Selling Proposition (USP) & offerings
  • 1.2. Research Scope
  • 1.3. Research Methodology
    • 1.3.1 Market Research Process
    • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

  • 2.1. Highlights of Market
  • 2.2. Global Market Snapshot

3. AI IN PHARMA AND BIOTECH - INDUSTRY ANALYSIS

  • 3.1. Introduction - Market Dynamics
  • 3.2. Market Drivers
  • 3.3. Market Restraints
  • 3.4. Opportunities
  • 3.5. Industry Trends
  • 3.6. Porter's Five Force Analysis
  • 3.7. Market Attractiveness Analysis
    • 3.7.1 Market Attractiveness Analysis By Application
    • 3.7.2 Market Attractiveness Analysis By End-user
    • 3.7.3 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

  • 4.1. Value Chain Analysis
  • 4.2. Raw Material Analysis
    • 4.2.1 List of Raw Materials
    • 4.2.2 Raw Material Manufactures List
    • 4.2.3 Price Trend of Key Raw Materials
  • 4.3. List of Potential Buyers
  • 4.4. Marketing Channel
    • 4.4.1 Direct Marketing
    • 4.4.2 Indirect Marketing
    • 4.4.3 Marketing Channel Development Trend

5. GLOBAL AI IN PHARMA AND BIOTECH MARKET ANALYSIS BY APPLICATION

  • 5.1. Overview By Application
  • 5.2. Historical and Forecast Data
  • 5.3. Analysis By Application
  • 5.4. Drug Discovery and Development Historic and Forecast Sales By Regions
  • 5.5. Clinical Trials and Optimization Historic and Forecast Sales By Regions
  • 5.6. Predictive Maintenance and Quality Control Historic and Forecast Sales By Regions
  • 5.7. Drug Target Identification Historic and Forecast Sales By Regions
  • 5.8. Disease Diagnosis & Prognosis Historic and Forecast Sales By Regions
  • 5.9. Others Historic and Forecast Sales By Regions

6. GLOBAL AI IN PHARMA AND BIOTECH MARKET ANALYSIS BY END-USER

  • 6.1. Overview By End-user
  • 6.2. Historical and Forecast Data
  • 6.3. Analysis By End-user
  • 6.4. Pharmaceutical & Biotech Companies Historic and Forecast Sales By Regions
  • 6.5. Academic & Contract Research Organizations Historic and Forecast Sales By Regions
  • 6.6. Others Historic and Forecast Sales By Regions

7. GLOBAL AI IN PHARMA AND BIOTECH MARKET ANALYSIS BY GEOGRAPHY

  • 7.1. Regional Outlook
  • 7.2. Introduction
  • 7.3. North America Sales Analysis
    • 7.3.1 Overview, Historic and Forecast Data Sales Analysis
    • 7.3.2 North America By Segment Sales Analysis
    • 7.3.3 North America By Country Sales Analysis
    • 7.3.4 United States Sales Analysis
    • 7.3.5 Canada Sales Analysis
    • 7.3.6 Mexico Sales Analysis
  • 7.4. Europe Sales Analysis
    • 7.4.1 Overview, Historic and Forecast Data Sales Analysis
    • 7.4.2 Europe By Segment Sales Analysis
    • 7.4.3 Europe By Country Sales Analysis
    • 7.4.4 United Kingdom Sales Analysis
    • 7.4.5 France Sales Analysis
    • 7.4.6 Germany Sales Analysis
    • 7.4.7 Italy Sales Analysis
    • 7.4.8 Russia Sales Analysis
    • 7.4.9 Rest Of Europe Sales Analysis
  • 7.5. Asia Pacific Sales Analysis
    • 7.5.1 Overview, Historic and Forecast Data Sales Analysis
    • 7.5.2 Asia Pacific By Segment Sales Analysis
    • 7.5.3 Asia Pacific By Country Sales Analysis
    • 7.5.4 China Sales Analysis
    • 7.5.5 India Sales Analysis
    • 7.5.6 Japan Sales Analysis
    • 7.5.7 South Korea Sales Analysis
    • 7.5.8 Australia Sales Analysis
    • 7.5.9 South East Asia Sales Analysis
    • 7.5.10 Rest Of Asia Pacific Sales Analysis
  • 7.6. Latin America Sales Analysis
    • 7.6.1 Overview, Historic and Forecast Data Sales Analysis
    • 7.6.2 Latin America By Segment Sales Analysis
    • 7.6.3 Latin America By Country Sales Analysis
    • 7.6.4 Brazil Sales Analysis
    • 7.6.5 Argentina Sales Analysis
    • 7.6.6 Peru Sales Analysis
    • 7.6.7 Chile Sales Analysis
    • 7.6.8 Rest of Latin America Sales Analysis
  • 7.7. Middle East & Africa Sales Analysis
    • 7.7.1 Overview, Historic and Forecast Data Sales Analysis
    • 7.7.2 Middle East & Africa By Segment Sales Analysis
    • 7.7.3 Middle East & Africa By Country Sales Analysis
    • 7.7.4 Saudi Arabia Sales Analysis
    • 7.7.5 UAE Sales Analysis
    • 7.7.6 Israel Sales Analysis
    • 7.7.7 South Africa Sales Analysis
    • 7.7.8 Rest Of Middle East And Africa Sales Analysis

8. COMPETITIVE LANDSCAPE OF THE AI IN PHARMA AND BIOTECH COMPANIES

  • 8.1. AI in Pharma and Biotech Market Competition
  • 8.2. Partnership/Collaboration/Agreement
  • 8.3. Merger And Acquisitions
  • 8.4. New Product Launch
  • 8.5. Other Developments

9. COMPANY PROFILES OF AI IN PHARMA AND BIOTECH INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Market Concentration Rate
  • 9.3. BenevolentAI SA
    • 9.3.1 Company Overview
    • 9.3.2 Company Revenue
    • 9.3.3 Products
    • 9.3.4 Recent Developments
  • 9.4. Insilico Medicine
    • 9.4.1 Company Overview
    • 9.4.2 Company Revenue
    • 9.4.3 Products
    • 9.4.4 Recent Developments
  • 9.5. Recursion Pharmaceuticals
    • 9.5.1 Company Overview
    • 9.5.2 Company Revenue
    • 9.5.3 Products
    • 9.5.4 Recent Developments
  • 9.6. Atomwise Inc.
    • 9.6.1 Company Overview
    • 9.6.2 Company Revenue
    • 9.6.3 Products
    • 9.6.4 Recent Developments
  • 9.7. Berg LLC
    • 9.7.1 Company Overview
    • 9.7.2 Company Revenue
    • 9.7.3 Products
    • 9.7.4 Recent Developments
  • 9.8. Cloud Pharmaceuticals
    • 9.8.1 Company Overview
    • 9.8.2 Company Revenue
    • 9.8.3 Products
    • 9.8.4 Recent Developments
  • 9.9. Deep Genomics
    • 9.9.1 Company Overview
    • 9.9.2 Company Revenue
    • 9.9.3 Products
    • 9.9.4 Recent Developments
  • 9.10. Exscientia
    • 9.10.1 Company Overview
    • 9.10.2 Company Revenue
    • 9.10.3 Products
    • 9.10.4 Recent Developments
  • 9.11. SchroDinger
    • 9.11.1 Company Overview
    • 9.11.2 Company Revenue
    • 9.11.3 Products
    • 9.11.4 Recent Developments
  • 9.12. TwoXar Inc
    • 9.12.1 Company Overview
    • 9.12.2 Company Revenue
    • 9.12.3 Products
    • 9.12.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies

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