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Drug Discovery 플랫폼 시장 규모, 점유율 및 동향 분석 보고서 : 약제 유형별, 용도별, 치료 영역별, 최종 용도별, 지역별 및 부문별 예측(2026-2033년)

Drug Discovery Platforms Market Size, Share & Trends Analysis Report By Drug Type, By Application, By Therapeutic Area, By End Use, By Region, And Segment Forecasts, 2026 - 2033

발행일: | 리서치사: 구분자 Grand View Research | 페이지 정보: 영문 190 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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Drug Discovery 플랫폼 시장 개요

세계의 Drug Discovery 플랫폼 시장 규모는 2025년에 34억 달러로 추계되며, 2033년까지 105억 달러에 달할 것으로 예측되고 있으며, 2026-2033년에 CAGR 15.1%로 성장할 것으로 전망되고 있습니다.

이 시장의 성장은 신약 개발 분야에서의 인공지능(AI) 및 기계학습(ML) 도입 확대, 제약 및 생명공학 분야의 연구개발(R&D) 투자 증가, 정밀 의학 및 표적 치료에 대한 수요 증가, 그리고 계산 기반 신약 개발의 발전 등 여러 요인에 의해 주도되고 있습니다.

신약 개발 워크플로우에서 AI 및 기계학습(ML)의 도입 확대가 시장 성장을 크게 견인하고 있습니다. AI 및 ML 기반 플랫폼을 통해 제약 및 생명공학 기업은 기존 방식에 비해 더 신속하고 정확하게 대규모 생물학적 데이터세트를 분석하고, 잠재적인 약물 표적을 식별하며, 선도 화합물을 최적화할 수 있게 됩니다. 이러한 기술은 가상 스크리닝, 예측 독성학, 분자 모델링, 생성형 신약 개발을 지원함으로써 연구개발 비용과 분자 발견까지 소요되는 시간을 단축합니다.

또한 AI를 활용한 자동화를 통해 임상시험의 실패 위험이 줄어들고 의사결정 효율이 향상됩니다. 암이나 희귀질환 등에 대한 신약의 신속한 개발에 대한 수요가 높아짐에 따라 제약 업계 전반에서 AI를 활용한 신약 개발 플랫폼의 도입이 더욱 가속화되고 있습니다. 예를 들어 2026년 1월, 피에르 파브르 래버러토리스와 이크토스는 AI를 활용한 신약 개발에 관한 제휴를 발표했습니다. 이는 계산 설계, 생물학, 의약화학, 의학 및 전임상 개발 역량을 결합하여 새로운 저분자 항암제 개발을 목표로 하는 것입니다.

이크토스(Iktos)사와의 이번 제휴는 피에르 파브르 래버러토리즈가 AI를 활용한 연구개발 체계를 구축하기 위한 노력에서 중요한 이정표가 될 것입니다. Iktos의 생성형 AI 및 자동화 화학 기술을 당사의 연구 플랫폼에 통합함으로써, 데이터 및 AI 전략 실현을 향한 첫걸음을 내디뎠습니다. 이러한 협력 관계는 최첨단 혁신 기술을 활용하여 신약 개발의 품질과 성공 확률을 높이는 동시에, 암 환자 여러분을 위해 의미 있는 진전을 가속화하고자 하는 당사의 의지를 구현하는 것입니다.

피에르 파브르 메디컬 케어 연구개발 부문 데이터 사이언스·생체측정학 책임자, 오드리 카우프만

또한 정밀 의학 및 표적 치료에 대한 수요가 증가함에 따라 신약 개발 플랫폼 시장의 성장이 가속화되고 있습니다. 정밀 의학은 개개인의 유전자 프로파일, 바이오마커, 질환 특성에 맞춘 치료법을 개발하는 것입니다. 이에 따라 AI를 활용한 신약 개발, 유전체학, 생물정보학, 멀티오믹스 기술의 도입이 활발히 진행되고 있습니다.

신약 개발 플랫폼은 바이오마커의 동정, 분자 프로파일링 및 환자 계층화를 지원합니다. 이를 통해 암, 희귀질환, 신경질환 등의 질환에 대해 표적을 매우 정밀하게 겨냥한 효과적인 치료법을 개발할 수 있게 됩니다. 그 결과, 제약사와 생명공학 기업은 정밀의학을 기반으로 한 신약 개발에 대한 투자와 협력을 점점 더 확대하고 있으며, 이는 시장 성장을 지원하고 있습니다. 예를 들어 2025년 3월, BostonGene Corporation은 존슨앤드존슨과 제휴하여 임상 시험에서 AI를 활용한 분자 프로파일링을 통해 대장암 및 다발성골수종의 바이오마커를 평가할 것이라고 발표했습니다.

마찬가지로 2024년 8월에는 보스턴진(Boston Gene)사가 다케다 제약과 제휴하여 AI를 활용한 분자 프로파일링 및 면역 프로파일링 기술을 이용해 면역요법을 평가했습니다. 이번 제휴는 첨단 멀티오믹스 및 생물정보학 분석을 통해 환자 선정 개선, 치료 반응 및 독성에 대한 예측 바이오마커의 규명, 그리고 임상시험 설계 강화에 중점을 두고 있습니다. 이러한 제휴는 첨단 분자 분석을 통해 환자 군을 세분화하고, 치료법 선택을 최적화하며, 예측 바이오마커를 규명하는 것을 목적으로 합니다.

자주 묻는 질문

  • Drug Discovery 플랫폼 시장 규모는 어떻게 예측되나요?
  • AI 및 기계학습이 Drug Discovery 플랫폼 시장 성장에 미치는 영향은 무엇인가요?
  • 정밀 의학 및 표적 치료에 대한 수요가 Drug Discovery 플랫폼 시장에 미치는 영향은 무엇인가요?
  • AI를 활용한 신약 개발 플랫폼의 도입 사례는 무엇이 있나요?
  • AI를 활용한 분자 프로파일링의 활용 사례는 무엇인가요?

목차

제1장 조사 방법과 범위

제2장 개요

제3장 Drug Discovery 플랫폼 시장 : 변수, 동향, 범위

제4장 Drug Discovery 플랫폼 시장 : 약제 유형별 추정·동향 분석

제5장 Drug Discovery 플랫폼 시장 : 용도별 추정·동향 분석

제6장 Drug Discovery 플랫폼 시장 : 치료 영역별 추정·동향 분석

제7장 Drug Discovery 플랫폼 시장 : 최종 사용별 추정·동향 분석

제8장 Drug Discovery 플랫폼 시장 : 지역별 추정·동향 분석

제9장 경쟁 구도

KSA 26.06.26

Drug Discovery Platforms Market Summary

The global drug discovery platforms market size was estimated at USD 3.4 billion in 2025 and is projected to reach USD 10.5 billion by 2033, growing at a CAGR of 15.1% from 2026 to 2033. The market growth is driven by several factors, including the increasing adoption of artificial intelligence (AI) and machine learning in drug discovery, rising pharmaceutical and biotechnology R&D investments, growing demand for precision medicine and targeted therapies, and advances in computational drug discovery.

The increasing adoption of AI and Machine Learning (ML) in drug discovery workflows is significantly driving the growth of the market. AI and ML-based platforms enable pharmaceutical and biotechnology companies to analyze large biological datasets, identify potential drug targets, and optimize lead compounds with greater speed and accuracy compared to conventional methods. These technologies support virtual screening, predictive toxicology, molecular modeling, and generative drug design, thereby reducing R&D costs and the time to molecule discovery.

In addition, AI-driven automation reduces clinical trial failure risks and improves decision-making efficiency. The growing demand for faster development of novel therapeutics, such as oncology and rare diseases, is further encouraging the adoption of AI-powered drug discovery platforms across the pharmaceutical industry. For instance, in January 2026, Pierre Fabre Laboratories and Iktos announced a collaboration for AI-driven drug discovery, aimed at developing novel small-molecule oncology therapies by combining computational design, biology, medicinal chemistry, medical science, and preclinical development capabilities.

This collaboration with Iktos marks an important milestone in our journey to build an AI-powered R&D engine at Pierre Fabre Laboratories. By integrating Iktos' generative AI and automated chemistry technologies into our research platforms, we are taking a step toward realizing our data and AI strategy. This cooperation exemplifies our ambition to leverage cutting-edge innovation to improve the quality and probability of success in drug discovery, while accelerating the delivery of meaningful advances for patients in oncology.

Audrey Kauffmann, Head of Data Science and Biometry at Pierre Fabre Medical Care R&D

Moreover, the rising demand for precision medicine and targeted therapies supports the growth of the drug discovery platforms market. Precision medicine develops treatments tailored to individual genetic profiles, biomarkers, and disease characteristics. This increases the adoption of AI-enabled drug discovery, genomics, bioinformatics, and multiomics technologies.

Drug discovery platforms support biomarker identification, molecular profiling, and patient stratification. This enables the development of highly targeted and effective therapies for diseases such as cancer, rare disorders, and neurological conditions. Consequently, pharmaceutical and biotechnology companies are increasingly investing in and collaborating on precision medicine-based drug development, supporting market growth. For instance, in March 2025, BostonGene Corporation announced a collaboration with Johnson & Johnson to evaluate biomarkers for colorectal cancer and multiple myeloma using AI-driven molecular profiling in clinical trials.

Similarly, in August 2024, BostonGene Corporation partnered with Takeda Pharmaceutical to evaluate immunotherapies using AI-powered molecular and immune profiling technologies. The collaboration focuses on improving patient selection, identifying predictive biomarkers for treatment response and toxicity, and enhancing clinical trial design through advanced multiomics and bioinformatics analysis. These partnerships aim to enhance patient stratification, optimize treatment selection, and identify predictive biomarkers through advanced molecular analytics.

Global Drug Discovery Platforms Market Report Segmentation

This report forecasts revenue growth and provides at the global, regional, and country levels an analysis of the latest trends in each of the sub-segments from 2021 to 2033. For this report, Grand View Research has segmented the global drug discovery platforms market report based on drug type, application, therapeutic area, end use, and region:

  • Drug Type Outlook (Revenue, USD Million, 2021 - 2033)
  • Small Molecule
  • Large Molecule
  • Application Outlook (Revenue, USD Million, 2021 - 2033)
  • Target Identification
  • Target Validation
  • Lead Discovery
  • Lead Optimization
  • Preclinical Testing
  • Other (including Clinical Trials)
  • Therapeutic Outlook (Revenue, USD Million, 2021 - 2033)
  • Oncology
  • Neurology
  • Cardiovascular Diseases
  • Infectious and Immune System Diseases
  • Digestive System Diseases
  • Other (Respiratory Diseases, Diabetes)
  • End Use Outlook (Revenue, USD Million, 2021 - 2033)
  • Biopharmaceutical Companies
  • Academic and Research Institutes
  • CROs/CDMO
  • Regional Outlook (Revenue, USD Million, 2021 - 2033)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Denmark
    • Sweden
    • Norway
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • South Korea
    • Thailand
  • Latin America
    • Brazil
    • Argentina
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Kuwait

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Drug Type Segment
    • 1.1.2. Application Segment
    • 1.1.3. Therapeutic Area Segment
    • 1.1.4. End Use Segment
    • 1.1.5. Regional scope
    • 1.1.6. Estimates and forecast timeline
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
      • 1.3.5.1. Data for primary interviews in North America
      • 1.3.5.2. Data for primary interviews in Europe
      • 1.3.5.3. Data for primary interviews in Asia Pacific
      • 1.3.5.4. Data for primary interviews in Latin America
      • 1.3.5.5. Data for Primary interviews in MEA
  • 1.4. Information or Data Analysis
    • 1.4.1. Data analysis models
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
    • 1.6.1. Commodity flow analysis (Model 1)
      • 1.6.1.1. Approach 1: Commodity flow approach
    • 1.6.2. Volume price analysis (Model 2)
      • 1.6.2.1. Approach 2: Volume price analysis
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. Objectives
    • 1.9.1. Objective 1
    • 1.9.2. Objective 2
    • 1.9.3. Objective 3

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Drug Type Outlook
    • 2.2.2. Application Outlook
    • 2.2.3. Therapeutic Area Segment
    • 2.2.4. End Use Outlook
    • 2.2.5. Regional Outlook
  • 2.3. Competitive Insights

Chapter 3. Drug Discovery Platforms Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook
  • 3.2. Industry Value Chain Analysis
    • 3.2.1. Reimbursement framework
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
      • 3.3.1.1. Increasing adoption of Artificial Intelligence (AI) and Machine Learning in drug discovery workflows
      • 3.3.1.2. Rising pharmaceutical and biotechnology R&D investments
      • 3.3.1.3. Growing demand for precision medicine and targeted therapies
    • 3.3.2. Market Restraint Analysis
      • 3.3.2.1. High implementation and operational costs of advanced drug discovery platforms
      • 3.3.2.2. Data privacy, integration, and regulatory challenges associated with AI-driven drug discovery systems
    • 3.3.3. Market Opportunity Analysis
    • 3.3.4. Industry Challenge
  • 3.4. Application Overview
    • 3.4.1. Virtual Reality (VR) and Augmented Reality (AR)
    • 3.4.2. Artificial Intelligence (AI)
    • 3.4.3. Gamification
    • 3.4.4. Use of Multidisciplinary Approach in the Development of Simulators
    • 3.4.5. 3D Printing
  • 3.5. Drug Discovery Platforms Market Analysis Tools
    • 3.5.1. Industry Analysis - Porter's
      • 3.5.1.1. Supplier power
      • 3.5.1.2. Buyer power
      • 3.5.1.3. Substitution threat
      • 3.5.1.4. Threat of new entrant
      • 3.5.1.5. Competitive rivalry
    • 3.5.2. PESTEL Analysis
      • 3.5.2.1. Political landscape
      • 3.5.2.2. Technological landscape
      • 3.5.2.3. Social landscape
      • 3.5.2.4. Economic landscape
      • 3.5.2.5. Legal landscape

Chapter 4. Drug Discovery Platforms Market: Drug Type Estimates & Trend Analysis

  • 4.1. Drug Type Market Share, 2025 & 2033
  • 4.2. Segment Dashboard
  • 4.3. Global Drug Discovery Platforms Market by Drug Type Outlook
  • 4.4. Small Molecule
    • 4.4.1. Small molecule market, 2021 - 2033 (USD Million)
  • 4.5. Large Molecule
    • 4.5.1. Large molecule market, 2021 - 2033 (USD Million)

Chapter 5. Drug Discovery Platforms Market: Application Estimates & Trend Analysis

  • 5.1. Application Market Share, 2025 & 2033
  • 5.2. Segment Dashboard
  • 5.3. Global Drug Discovery Platforms Market by Application Outlook
  • 5.4. Target Identification
    • 5.4.1. Target identification market estimates and forecast 2021 to 2033 (USD Million)
  • 5.5. Target Validation
    • 5.5.1. Target validation market estimates and forecast 2021 to 2033 (USD Million)
  • 5.6. Lead Discovery
    • 5.6.1. Lead discovery market estimates and forecast 2021 to 2033 (USD Million)
  • 5.7. Lead Optimization
    • 5.7.1. Lead optimization market estimates and forecast 2021 to 2033 (USD Million)
  • 5.8. Preclinical Testing
    • 5.8.1. Preclnical tasting market estimates and forecast 2021 to 2033 (USD Million)
  • 5.9. Other (including Clinical Trials)
    • 5.9.1. Other (including clinical trial) market estimates and forecast 2021 to 2033 (USD Million)

Chapter 6. Drug Discovery Platforms Market: Therapeutic Area Estimates & Trend Analysis

  • 6.1. Therapeutic Area Market Share, 2025 & 2033
  • 6.2. Segment Dashboard
  • 6.3. Global Drug Discovery Platforms Market by Therapeutic Area Outlook
  • 6.4. Oncology
    • 6.4.1. Oncology market estimates and forecast 2021 to 2033 (USD Million)
  • 6.5. Neurology
    • 6.5.1. Neurology market estimates and forecast 2021 to 2033 (USD Million)
  • 6.6. Cardiovascular Diseases
    • 6.6.1. Cardiovascular Diseases market estimates and forecast 2021 to 2033 (USD Million)
  • 6.7. Infectious and Immune System Diseases
    • 6.7.1. Infectious and immune system diseases market estimates and forecast 2021 to 2033 (USD Million)
  • 6.8. Digestive System Diseases
    • 6.8.1. Digestive system diseases market estimates and forecast 2021 to 2033 (USD Million)
  • 6.9. Other (Respiratory Disease, Diabetes)
    • 6.9.1. Other (including clinical trial) market estimates and forecast 2021 to 2033 (USD Million)

Chapter 7. Drug Discovery Platforms Market: End Use Estimates & Trend Analysis

  • 7.1. End Use Market Share, 2025 & 2033
  • 7.2. Segment Dashboard
  • 7.3. Global Drug Discovery Platforms Market by End use Outlook
  • 7.4. Biopharmaceutical Companies
    • 7.4.1. Biopharmaceutical Companies market estimates and forecast 2021 to 2033 (USD Million)
  • 7.5. Academic and Research Institutes
    • 7.5.1. Academic and Research Institites market estimates and forecast 2021 to 2033 (USD Million)
  • 7.6. CROs/CDMO
    • 7.6.1. CROs/CDMO market estimates and forecast 2021 to 2033 (USD Million)

Chapter 8. Drug Discovery Platforms Market: Regional Estimates & Trend Analysis

  • 8.1. Regional Market Share Analysis, 2025 & 2033
  • 8.2. Regional Market Dashboard
  • 8.3. Regional Market Snapshot
  • 8.4. Market Size, Forecasts, & Trends Analysis, 2021 to 2033:
  • 8.5. North America
    • 8.5.1. U.S.
      • 8.5.1.1. Key country dynamics
      • 8.5.1.2. Regulatory framework
      • 8.5.1.3. Competitive scenario
      • 8.5.1.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.5.2. Canada
      • 8.5.2.1. Key country dynamics
      • 8.5.2.2. Regulatory framework
      • 8.5.2.3. Competitive scenario
      • 8.5.2.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.5.3. Mexico
      • 8.5.3.1. Key country dynamics
      • 8.5.3.2. Regulatory framework
      • 8.5.3.3. Competitive scenario
      • 8.5.3.4. Market estimates and forecast, 2021 - 2033 (USD Million)
  • 8.6. Europe
    • 8.6.1. UK
      • 8.6.1.1. Key country dynamics
      • 8.6.1.2. Regulatory framework
      • 8.6.1.3. Competitive scenario
      • 8.6.1.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.2. Germany
      • 8.6.2.1. Key country dynamics
      • 8.6.2.2. Regulatory framework
      • 8.6.2.3. Competitive scenario
      • 8.6.2.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.3. France
      • 8.6.3.1. Key country dynamics
      • 8.6.3.2. Regulatory framework
      • 8.6.3.3. Competitive scenario
      • 8.6.3.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.4. Italy
      • 8.6.4.1. Key country dynamics
      • 8.6.4.2. Regulatory framework
      • 8.6.4.3. Competitive scenario
      • 8.6.4.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.5. Spain
      • 8.6.5.1. Key country dynamics
      • 8.6.5.2. Regulatory framework
      • 8.6.5.3. Competitive scenario
      • 8.6.5.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.6. Sweden
      • 8.6.6.1. Key country dynamics
      • 8.6.6.2. Regulatory framework
      • 8.6.6.3. Competitive scenario
      • 8.6.6.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.7. Denmark
      • 8.6.7.1. Key country dynamics
      • 8.6.7.2. Regulatory framework
      • 8.6.7.3. Competitive scenario
      • 8.6.7.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.6.8. Norway
      • 8.6.8.1. Key country dynamics
      • 8.6.8.2. Regulatory framework
      • 8.6.8.3. Competitive scenario
      • 8.6.8.4. Market estimates and forecast, 2021 - 2033 (USD Million)
  • 8.7. Asia Pacific
    • 8.7.1. Japan
      • 8.7.1.1. Key country dynamics
      • 8.7.1.2. Regulatory framework
      • 8.7.1.3. Competitive scenario
      • 8.7.1.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.7.2. China
      • 8.7.2.1. Key country dynamics
      • 8.7.2.2. Regulatory framework
      • 8.7.2.3. Competitive scenario
      • 8.7.2.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.7.3. India
      • 8.7.3.1. Key country dynamics
      • 8.7.3.2. Regulatory framework
      • 8.7.3.3. Competitive scenario
      • 8.7.3.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.7.4. South Korea
      • 8.7.4.1. Key country dynamics
      • 8.7.4.2. Regulatory framework
      • 8.7.4.3. Competitive scenario
      • 8.7.4.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.7.5. Thailand
      • 8.7.5.1. Key country dynamics
      • 8.7.5.2. Regulatory framework
      • 8.7.5.3. Competitive scenario
      • 8.7.5.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.7.6. Australia
      • 8.7.6.1. Key country dynamics
      • 8.7.6.2. Regulatory framework
      • 8.7.6.3. Competitive scenario
      • 8.7.6.4. Market estimates and forecast, 2021 - 2033 (USD Million)
  • 8.8. Latin America
    • 8.8.1. Brazil
      • 8.8.1.1. Key country dynamics
      • 8.8.1.2. Regulatory framework
      • 8.8.1.3. Competitive scenario
      • 8.8.1.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.8.2. Argentina
      • 8.8.2.1. Key country dynamics
      • 8.8.2.2. Regulatory framework
      • 8.8.2.3. Competitive scenario
      • 8.8.2.4. Market estimates and forecast, 2021 - 2033 (USD Million)
  • 8.9. MEA
    • 8.9.1. South Africa
      • 8.9.1.1. Key country dynamics
      • 8.9.1.2. Regulatory framework
      • 8.9.1.3. Competitive scenario
      • 8.9.1.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.9.2. Saudi Arabia
      • 8.9.2.1. Key country dynamics
      • 8.9.2.2. Regulatory framework
      • 8.9.2.3. Competitive scenario
      • 8.9.2.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.9.3. UAE
      • 8.9.3.1. Key country dynamics
      • 8.9.3.2. Regulatory framework
      • 8.9.3.3. Competitive scenario
      • 8.9.3.4. Market estimates and forecast, 2021 - 2033 (USD Million)
    • 8.9.4. Kuwait
      • 8.9.4.1. Key country dynamics
      • 8.9.4.2. Regulatory framework
      • 8.9.4.3. Competitive scenario
      • 8.9.4.4. Market estimates and forecast, 2021 - 2033 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 9.2. Company/Competition Categorization
  • 9.3. Key Company Market Share Analysis, 2025 (%)
  • 9.4. Key Company Market Position Analysis, 2025
  • 9.5. Company Profiles
    • 9.5.1. Schrodinger, Inc.
      • 9.5.1.1. Company overview
      • 9.5.1.2. Financial performance
      • 9.5.1.3. Product benchmarking
      • 9.5.1.4. Strategic initiatives
    • 9.5.2. Certara
      • 9.5.2.1. Company overview
      • 9.5.2.2. Financial performance
      • 9.5.2.3. Product benchmarking
      • 9.5.2.4. Strategic initiatives
    • 9.5.3. Optibrium Ltd
      • 9.5.3.1. Company overview
      • 9.5.3.2. Financial performance
      • 9.5.3.3. Product benchmarking
      • 9.5.3.4. Strategic initiatives
    • 9.5.4. Insilico Medicine
      • 9.5.4.1. Company overview
      • 9.5.4.2. Financial performance
      • 9.5.4.3. Product benchmarking
      • 9.5.4.4. Strategic initiatives
    • 9.5.5. Atomwise, Inc.
      • 9.5.5.1. Company overview
      • 9.5.5.2. Financial performance
      • 9.5.5.3. Product benchmarking
      • 9.5.5.4. Strategic initiatives
    • 9.5.6. XtalPi Holdings Limited
      • 9.5.6.1. Company overview
      • 9.5.6.2. Financial performance
      • 9.5.6.3. Product benchmarking
      • 9.5.6.4. Strategic initiatives
    • 9.5.7. Dassault Systemes SE
      • 9.5.7.1. Company overview
      • 9.5.7.2. Financial performance
      • 9.5.7.3. Product benchmarking
      • 9.5.7.4. Strategic initiatives
    • 9.5.8. Genedata AG
      • 9.5.8.1. Company overview
      • 9.5.8.2. Financial performance
      • 9.5.8.3. Product benchmarking
      • 9.5.8.4. Strategic initiatives
    • 9.5.9. Relay Therapeutics, Inc.
      • 9.5.9.1. Company overview
      • 9.5.9.2. Financial performance
      • 9.5.9.3. Product benchmarking
      • 9.5.9.4. Strategic initiatives
    • 9.5.10. Recursion Pharmaceuticals, Inc.
      • 9.5.10.1. Company overview
      • 9.5.10.2. Financial performance
      • 9.5.10.3. Product benchmarking
      • 9.5.10.4. Strategic initiatives
    • 9.5.11. Merck KGaA
      • 9.5.11.1. Company overview
      • 9.5.11.2. Financial performance
      • 9.5.11.3. Product benchmarking
      • 9.5.11.4. Strategic initiatives
    • 9.5.12. insitro Inc.
      • 9.5.12.1. Company overview
      • 9.5.12.2. Financial performance
      • 9.5.12.3. Product benchmarking
      • 9.5.12.4. Strategic initiatives
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