药物发现中的人工智慧市场规模、份额、成长分析（按组成部分、按技术、按应用、按地区）- 产业预测，2024-2031 年

2022 年，人工智慧在药物发现领域的全球市场规模为 18 亿美元，从 2023 年的 23.4 亿美元成长到 2031 年的 193.5 亿美元，预计在预测期内（2024-2031 年）将持续成长。年增率为30.2%。

由于生命科学领域对创新治疗方法的需求和生产能力的提高，对人工智慧驱动的药物开发解决方案的需求正在迅速增加。机器学习和深度学习等技术透过提高初始化合物筛检和临床试验成功率，正在彻底改变药物发现。随着专注于人工智慧应用的资金筹措、投资和新兴企业不断涌入，该市场有望加速成长。人工智慧与临床试验的整合正在透过提高准确性、效率和缩短开发週期来改变游戏规则。尤其是2015年至2020年，製药公司与人工智慧公司之间的策略联盟大幅增加，凸显了人工智慧在加速药物发现方面的重要角色。人工智慧技术的多功能性，包括资料探勘和定制，进一步支援了这种上升轨迹。

目录

介绍

• 研究目的
• 调查范围
• 定义

调查方法

• 资讯采购
• 二手资料和主要资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 按细分市场的机会分析

市场动态及展望

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制因素和挑战
• 波特分析及影响
  • 竞争公司之间的敌对关係
  • 替代品的威胁
  • 买方议价能力
  • 新进入者的威胁
  • 供应商的议价能力

主要市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 市场生态系统
• 市场吸引力指数（2023）
• PESTEL分析
• 总体经济指标
• 价值链分析
• 价格分析
• 技术进步
• 监管环境
• 专利分析
• 案例研究
• Start-Ups分析

药物发现中人工智慧的市场规模：按组成部分和复合年增长率（2024-2031）

• 市场概况
• 软体
  • 机器学习
  • 深度学习
  • 其他的
• 服务
  • 实施服务
  • 维护与支援
  • 其他的

人工智慧在药物发现中的市场规模：按技术和复合年增长率（2024-2031）

• 市场概况
• 机器学习
  • 监督学习
  • 无监督学习
  • 强化学习
• 深度学习
• 自然语言处理（NLP）
• 其他的

人工智慧在药物发现中的市场规模：按应用和复合年增长率（2024-2031）

• 市场概况
• 目标识别
• 分子筛检
• 先导药物最适化
• 临床前测试
• 临床试验
• 其他的

人工智慧在药物发现的市场规模：依治疗领域和复合年增长率（2024-2031）

• 市场概况
• 肿瘤学
• 神经退化性疾病
• 心血管疾病
• 代谢性疾病
• 感染疾病
• 其他的

药物发现中人工智慧的市场规模：依最终用途和复合年增长率（2024-2031）

• 市场概况
• 製药和生物技术公司
• 合约研究组织（CRO）
• 学术研究所
• 其他的

人工智慧在药物发现的市场规模和复合年增长率（2024-2031）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 西班牙
  • 法国
  • 义大利
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东/非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲

竞争资讯

• 前5名企业对比
• 主要企业市场定位（2023年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市场占有率分析（2023）
• 主要企业简介
  • 公司简介
  • 产品系列分析
  • 按细分市场分類的份额分析
  • 收益与前一年同期比较（2021-2023）

主要企业简介

• IBM Corporation
• NVIDIA Corporation
• Microsoft Corporation
• Exscientia
• Atomwise, Inc.
• BenevolentAI
• Insilico Medicine
• Cyclica
• Schrodinger, Inc.
• Cloud Pharmaceuticals, Inc.
• BioSymetrics
• XtalPi Inc.
• Deep Genomics
• Numerate, Inc.
• Berg LLC
• OWKIN, Inc.
• TwoXAR, Inc.
• Verge Genomics
• Recursion Pharmaceuticals
• PathAI

结论和建议

Global AI in Drug Discovery Market size was valued at USD 1.80 billion in 2022 and is poised to grow from USD 2.34 billion in 2023 to USD 19.35 billion by 2031, growing at a CAGR of 30.2% during the forecast period (2024-2031).

The demand for AI-powered drug development solutions is surging in response to the need for innovative medical cures and enhanced manufacturing capabilities in the life sciences sector. Technologies like machine learning and deep learning are revolutionizing drug discovery by improving initial compound screening and clinical trial success rates. With a growing influx of funding, investments, and startups focused on AI applications, the market is poised for accelerated growth. AI's integration into clinical trials is transforming the landscape by enhancing accuracy, efficiency, and reducing development cycles. Notably, strategic collaborations between pharma companies and AI firms rose significantly from 2015 to 2020, highlighting AI's vital role in expediting drug discovery. The versatility of AI technologies, including data mining and customization, further propels this upward trajectory.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai In Drug Discovery market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Ai In Drug Discovery Market Segmental Analysis

Global AI in Drug Discovery Market is segmented by component, technology, application, therapeutic area, end use and region. Based on component, the market is segmented into software and services. Based on technology, the market is segmented into machine learning, deep learning, natural language processing (NLP) and others. Based on application, the market is segmented into target identification, molecule screening, lead optimization, preclinical testing, clinical trials and others. Based on therapeutic area, the market is segmented into oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, infectious diseases and others. Based on end use, the market is segmented into pharmaceutical & biotechnology companies, contract research organizations (CROs), academic & research institutes and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Ai In Drug Discovery Market

A significant driver of the Global AI in Drug Discovery market is the escalating investment in medical technology. As organizations strive for rapid advancements in drug discovery, substantial funding is directed towards research and development initiatives, especially in artificial intelligence and machine learning. These technologies not only streamline the identification of viable drug candidates but also significantly shorten the duration of clinical trials. Consequently, this leads to more efficient drug development processes, resulting in drugs reaching the market faster and at a reduced cost. The focus on innovative healthcare solutions continues to propel growth in this sector, underlining its essential role in modern therapeutics.

Restraints in the Global Ai In Drug Discovery Market

One of the main obstacles hindering the global AI in drug discovery market is the challenge of data security and privacy. Given the sensitive nature of healthcare data, there is a significant risk of breaches, leading to ethical and legal concerns. Companies in this sector must navigate strict regulations regarding data privacy and cybersecurity, which can elevate operational costs and result in delays in the adoption of AI-driven drug development solutions. As a result, the apprehension surrounding data handling can impede the growth and efficiency of AI applications in the pharmaceutical industry.

Market Trends of the Global Ai In Drug Discovery Market

The global AI in drug discovery market is witnessing a significant trend driven by the increasing application of AI in preclinical and clinical research. By leveraging advanced AI models, researchers are now able to identify biomarkers for disease progression, refine clinical trial designs, and predict patient responses with greater precision. This not only mitigates the risk of trial failures but also accelerates the testing process, ensuring timely identification of promising drug candidates. Enhanced accuracy in trial procedures and improved patient enrollment strategies are further propelling this trend, positioning AI as a crucial element in revolutionizing drug development and expediting the path to market for new therapeutics.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Driver & Opportunities
  • Restraints & Challenges
• Porters Analysis & Impact
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2023
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Technological Advancement
• Regulatory Landscape
• Patent Analysis
• Case Studies
• Startup Analysis

Global AI in Drug Discovery Market Size by Component & CAGR (2024-2031)

• Market Overview
• Software
  • Machine Learning
  • Deep Learning
  • Others
• Services
  • Implementation Services
  • Maintenance & Support
  • Others

Global AI in Drug Discovery Market Size by Technology & CAGR (2024-2031)

• Market Overview
• Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
• Deep Learning
• Natural Language Processing (NLP)
• Others

Global AI in Drug Discovery Market Size by Application & CAGR (2024-2031)

• Market Overview
• Target Identification
• Molecule Screening
• Lead Optimization
• Preclinical Testing
• Clinical Trials
• Others

Global AI in Drug Discovery Market Size by Therapeutic Area & CAGR (2024-2031)

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

Global AI in Drug Discovery Market Size by End Use & CAGR (2024-2031)

• Market Overview
• Pharmaceutical & Biotechnology Companies
• Contract Research Organizations (CROs)
• Academic & Research Institutes
• Others

Global AI in Drug Discovery Market Size & CAGR (2024-2031)

• North America, (Component, Technology, Application, Therapeutic Area, End Use)
  • US
  • Canada
• Europe, (Component, Technology, Application, Therapeutic Area, End Use)
  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe
• Asia-Pacific, (Component, Technology, Application, Therapeutic Area, End Use)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America, (Component, Technology, Application, Therapeutic Area, End Use)
  • Brazil
  • Rest of Latin America
• Middle East & Africa, (Component, Technology, Application, Therapeutic Area, End Use)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2023
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2023
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

• IBM Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Exscientia
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Atomwise, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BenevolentAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Insilico Medicine
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cyclica
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Schrodinger, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cloud Pharmaceuticals, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BioSymetrics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• XtalPi Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deep Genomics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Numerate, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Berg LLC
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• OWKIN, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TwoXAR, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Verge Genomics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Recursion Pharmaceuticals
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• PathAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendation