2026-2034年生命科學領域全球人工智慧市場規模、佔有率、趨勢和成長分析報告

全球生命科學領域的人工智慧市場預計將從2025年的41.5億美元成長至2034年的307.2億美元，2026年至2034年的複合年成長率（CAGR）將達到24.91%。隨著人工智慧成為藥物研發、生物技術、臨床診斷和醫療保健領域創新不可或缺的要素，該市場正迅速擴張。人工智慧技術能夠加快藥物發現、預測分析、個人化醫療、基因組分析以及臨床工作流程自動化，從而顯著提高研究效率和患者療效。數位化醫療的轉型以及對計算生物學日益成長的投資，正持續推動全球生命科學公司採用人工智慧技術。

生物醫學研究日益複雜化以及對高效藥物研發需求的不斷成長是推動該行業的主要動力。製藥公司正利用機器學習演算法來識別治療標靶、最佳化臨床試驗，並在整個產品開發週期中改善決策。生物技術公司和研究機構正日益將人工智慧與基因組學、蛋白質組學和分子建模相結合，以加速科學發現。醫療保健資料集的擴展和雲端運算基礎設施的發展也進一步促進了市場成長。

隨著生成式人工智慧、精準醫療和先進數據分析不斷變革生命科學研究，前景依然十分光明。人工智慧驅動的自動化可望降低研究成本、縮短研發週期並提升治療的個人化程度。製藥公司、技術提供者、學術機構和醫療機構之間加強合作，將加速創新，並在診斷、治療和生物醫學研究領域創造重要的長期機會。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分根據產品類型、應用、最終用戶和地區將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以識別預期的未來趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面檢驗，確定高成長領域和區域趨勢，以更深入地了解每個區域特有的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察，從而更有效地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

• 市場譜系展望
• 滲透率和成長前景分析
• 價值鏈分析
• 法律規範
  • 標準與合規性
  • 監管影響分析
• 市場動態
  • 市場促進因素
  • 市場限制因素
  • 市場機遇
  • 市場挑戰
• 波特五力分析
• PESTLE分析

第4章：生命科學領域的全球人工智慧市場：依產品/服務分類

• 市場分析、洞察與預測
• 軟體
• 服務
• 硬體

第5章：全球生命科學領域人工智慧市場：依部署模式分類

• 市場分析、洞察與預測
• 雲端/按需
• 現場

第6章：全球生命科學領域人工智慧市場：依分析類型分類

• 市場分析、洞察與預測
• 說明的
• 預測分析
• 規範
• 人工智慧世代

第7章：全球生命科學領域人工智慧市場：按應用領域分類

• 市場分析、洞察與預測
• 藥物發現
• 醫學診斷和影像診斷
• 臨床試驗的最佳化
• 生物技術和生物製程
• 精準醫療與個人化醫療
• 病患監測與真實世界證據

第8章：全球生命科學領域人工智慧市場：按最終用戶分類

• 市場分析、洞察與預測
• 製藥和生物技術公司
• 合約研究組織（CRO）
• 醫療設備製造商
• 學術研究機構
• 醫療保健提供者和保險公司

第9章：全球生命科學領域人工智慧市場：按技術分類

• 市場分析、洞察與預測
• 機器學習
• 自然語言處理
• 電腦視覺
• 深度學習與神經網路
• 生成式人工智慧模型

第10章：全球生命科學領域人工智慧市場：按地區分類

• 區域分析
• 北美市場分析、洞察與預測
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲市場分析、洞察與預測
  • 英國
  • 法國
  • 德國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
• 亞太市場分析、洞察與預測
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 東南亞
  • 其他亞太國家
• 拉丁美洲市場分析、洞察與預測
  • 巴西
  • 阿根廷
  • 秘魯
  • 智利
  • 其他拉丁美洲國家
• 中東和非洲市場分析、洞察與預測
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中東和非洲國家

第11章 競爭格局

• 最新趨勢
• 公司分類
• 供應鏈和銷售管道合作夥伴（根據現有資訊）
• 市場佔有率和市場定位分析（基於現有資訊）
• 供應商情況（基於現有資訊）
• 策略規劃

第12章：公司簡介

• 主要公司的市佔率分析
• 公司簡介
  • Atomwise
  • Insilico Medicine
  • NuMedii
  • AiCure
  • Insitro
  • SOPHiA GENETICS
  • Enlitic
  • Valo Health
  • Generate Biomedicines
  • Recursion Pharmaceuticals
  • Exscientia
  • Owkin
  • BenevolentAI

The global AI in life science market size is expected to reach USD 30.72 Billion in 2034 from USD 4.15 Billion in 2025, growing at a CAGR of 24.91 during 2026-2034.This market is expanding rapidly as artificial intelligence becomes an integral part of pharmaceutical research, biotechnology, clinical diagnostics, and healthcare innovation. AI technologies enable faster drug discovery, predictive analytics, personalized medicine, genomic analysis, and automated clinical workflows, significantly improving research productivity and patient outcomes. Increasing investments in digital healthcare transformation and computational biology continue driving adoption across life science organizations worldwide.

The growing complexity of biomedical research and rising demand for efficient drug development are major drivers accelerating industry growth. Pharmaceutical companies are utilizing machine learning algorithms to identify therapeutic targets, optimize clinical trials, and improve decision-making throughout the product development cycle. Biotechnology firms and research institutions are increasingly integrating AI with genomics, proteomics, and molecular modeling to accelerate scientific discoveries. Expanding healthcare datasets and cloud computing infrastructure further strengthen market development.

Future prospects remain exceptionally strong as generative AI, precision medicine, and advanced data analytics continue transforming life science research. AI-powered automation is expected to reduce research costs, shorten development timelines, and improve treatment personalization. Increased collaboration among pharmaceutical companies, technology providers, academic institutions, and healthcare organizations will accelerate innovation, creating significant long-term opportunities across diagnostics, therapeutics, and biomedical research.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Offering

• Software
• Services
• Hardware

By Deployment Model

• Cloud / On-Demand
• On-Premise

By Analytics Type

• Descriptive
• Predictive
• Prescriptive
• Generative AI

By Application

• Drug Discovery
• Medical Diagnosis and Imaging
• Clinical Trials Optimisation
• Biotechnology and Bioprocessing
• Precision and Personalised Medicine
• Patient Monitoring and Real-World Evidence

By End User

• Pharmaceutical and Biotechnology Companies
• Contract Research Organisations (CROs)
• Medical Device Manufacturers
• Academic and Research Institutes
• Healthcare Providers and Payers

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Deep Learning and Neural Networks
• Generative AI Models

COMPANIES PROFILED

• Atomwise, Insilico Medicine, NuMedii, AiCure, Insitro, SOPHiA GENETICS, Enlitic, Valo Health, Generate Biomedicines, Recursion Pharmaceuticals, Exscientia, Owkin, BenevolentAI

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN LIFE SCIENCE MARKET: BY OFFERING 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Offering
• 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN LIFE SCIENCE MARKET: BY DEPLOYMENT MODEL 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Deployment Model
• 5.2. Cloud / On-Demand Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. On-Premise Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN LIFE SCIENCE MARKET: BY ANALYTICS TYPE 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Analytics Type
• 6.2. Descriptive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Predictive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Prescriptive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Generative AI Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN LIFE SCIENCE MARKET: BY APPLICATION 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Application
• 7.2. Drug Discovery Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Medical Diagnosis and Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Clinical Trials Optimisation Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Biotechnology and Bioprocessing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Precision and Personalised Medicine Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.7. Patient Monitoring and Real-World Evidence Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN LIFE SCIENCE MARKET: BY END USER 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End User
• 8.2. Pharmaceutical and Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Contract Research Organisations (CROs) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Medical Device Manufacturers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Academic and Research Institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. Healthcare Providers and Payers Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN LIFE SCIENCE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 9.1. Market Analysis, Insights and Forecast Technology
• 9.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.3. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.5. Deep Learning and Neural Networks Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 9.6. Generative AI Models Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 10. GLOBAL AI IN LIFE SCIENCE MARKET: BY REGION 2022-2034 (USD MN)

• 10.1. Regional Outlook
• 10.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.2.1 By Offering
  • 10.2.2 By Deployment Model
  • 10.2.3 By Analytics Type
  • 10.2.4 By Application
  • 10.2.5 By End User
  • 10.2.6 By Technology
  • 10.2.7 United States
  • 10.2.8 Canada
  • 10.2.9 Mexico
• 10.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.3.1 By Offering
  • 10.3.2 By Deployment Model
  • 10.3.3 By Analytics Type
  • 10.3.4 By Application
  • 10.3.5 By End User
  • 10.3.6 By Technology
  • 10.3.7 United Kingdom
  • 10.3.8 France
  • 10.3.9 Germany
  • 10.3.10 Italy
  • 10.3.11 Russia
  • 10.3.12 Rest Of Europe
• 10.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.4.1 By Offering
  • 10.4.2 By Deployment Model
  • 10.4.3 By Analytics Type
  • 10.4.4 By Application
  • 10.4.5 By End User
  • 10.4.6 By Technology
  • 10.4.7 India
  • 10.4.8 Japan
  • 10.4.9 South Korea
  • 10.4.10 Australia
  • 10.4.11 South East Asia
  • 10.4.12 Rest Of Asia Pacific
• 10.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.5.1 By Offering
  • 10.5.2 By Deployment Model
  • 10.5.3 By Analytics Type
  • 10.5.4 By Application
  • 10.5.5 By End User
  • 10.5.6 By Technology
  • 10.5.7 Brazil
  • 10.5.8 Argentina
  • 10.5.9 Peru
  • 10.5.10 Chile
  • 10.5.11 Rest of Latin America
• 10.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 10.6.1 By Offering
  • 10.6.2 By Deployment Model
  • 10.6.3 By Analytics Type
  • 10.6.4 By Application
  • 10.6.5 By End User
  • 10.6.6 By Technology
  • 10.6.7 Saudi Arabia
  • 10.6.8 UAE
  • 10.6.9 Israel
  • 10.6.10 South Africa
  • 10.6.11 Rest of the Middle East And Africa

Chapter 11. COMPETITIVE LANDSCAPE

• 11.1. Recent Developments
• 11.2. Company Categorization
• 11.3. Supply Chain & Channel Partners (based on availability)
• 11.4. Market Share & Positioning Analysis (based on availability)
• 11.5. Vendor Landscape (based on availability)
• 11.6. Strategy Mapping

Chapter 12. COMPANY PROFILES OF GLOBAL AI IN LIFE SCIENCE INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Company Profiles
  • 12.2.1 Atomwise
  • 12.2.2 Insilico Medicine
  • 12.2.3 NuMedii
  • 12.2.4 AiCure
  • 12.2.5 Insitro
  • 12.2.6 SOPHiA GENETICS
  • 12.2.7 Enlitic
  • 12.2.8 Valo Health
  • 12.2.9 Generate Biomedicines
  • 12.2.10 Recursion Pharmaceuticals
  • 12.2.11 Exscientia
  • 12.2.12 Owkin
  • 12.2.13 BenevolentAI