藥物發現中的人工智慧市場規模、佔有率、成長分析（按組成部分、按技術、按應用、按地區）- 產業預測，2024-2031 年

2022 年，人工智慧在藥物發現領域的全球市場規模為 18 億美元，從 2023 年的 23.4 億美元成長到 2031 年的 193.5 億美元，預計在預測期內（2024-2031 年）將持續成長。年增率為30.2%。

由於生命科學領域對創新治療方法的需求和生產能力的提高，對人工智慧驅動的藥物開發解決方案的需求正在迅速增加。機器學習和深度學習等技術透過提高初始化合物篩檢和臨床試驗成功率，正在徹底改變藥物發現。隨著專注於人工智慧應用的資金籌措、投資和新興企業不斷湧入，該市場有望加速成長。人工智慧與臨床試驗的整合正在透過提高準確性、效率和縮短開發週期來改變遊戲規則。尤其是2015年至2020年，製藥公司與人工智慧公司之間的策略聯盟大幅增加，凸顯了人工智慧在加速藥物發現方面的重要角色。人工智慧技術的多功能性，包括資料探勘和客製化，進一步支援了這種上升軌跡。

目錄

介紹

• 研究目的
• 調查範圍
• 定義

調查方法

• 資訊採購
• 二手資料和主要資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制因素和挑戰
• 波特分析及影響
  • 競爭公司之間的敵對關係
  • 替代品的威脅
  • 買方議價能力
  • 新進入者的威脅
  • 供應商的議價能力

主要市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2023）
• PESTEL分析
• 總體經濟指標
• 價值鏈分析
• 價格分析
• 技術進步
• 監管環境
• 專利分析
• 案例研究
• Start-Ups分析

藥物發現中人工智慧的市場規模：按組成部分和複合年成長率（2024-2031）

• 市場概況
• 軟體
  • 機器學習
  • 深度學習
  • 其他
• 服務
  • 實施服務
  • 維護與支援
  • 其他

人工智慧在藥物發現中的市場規模：按技術和複合年成長率（2024-2031）

• 市場概況
• 機器學習
  • 監督學習
  • 無監督學習
  • 強化學習
• 深度學習
• 自然語言處理（NLP）
• 其他

人工智慧在藥物發現中的市場規模：按應用和複合年成長率（2024-2031）

• 市場概況
• 目標識別
• 分子篩檢
• 先導藥物最適化
• 臨床前測試
• 臨床試驗
• 其他

人工智慧在藥物發現的市場規模：依治療領域和複合年成長率（2024-2031）

• 市場概況
• 腫瘤學
• 神經退化性疾病
• 心血管疾病
• 代謝性疾病
• 感染疾病
• 其他

藥物發現中人工智慧的市場規模：依最終用途和複合年成長率（2024-2031）

• 市場概況
• 製藥和生物技術公司
• 合約研究組織（CRO）
• 學術研究所
• 其他

人工智慧在藥物發現的市場規模和複合年成長率（2024-2031）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 西班牙
  • 法國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東/非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲

競爭資訊

• 前5名企業對比
• 主要企業市場定位（2023年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市場佔有率分析（2023）
• 主要企業簡介
  • 公司簡介
  • 產品系列分析
  • 按細分市場分類的佔有率分析
  • 收益與前一年同期比較（2021-2023）

主要企業簡介

• 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

結論和建議

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