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市場調查報告書

商品編碼

1978326

2026-2034年全球醫藥和生物技術領域人工智慧（AI）市場規模、佔有率、趨勢和成長分析報告

Global AI in Pharma and Biotech Market Size, Share, Trends & Growth Analysis Report 2026-2034

出版日期: 2026年02月05日 | 出版商:

Value Market Research | 英文 167 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

預計到 2025 年，醫藥和生物技術領域的人工智慧 (AI) 市場規模將達到 106.5 億美元，到 2034 年將達到 367 億美元，2026 年至 2034 年的複合年成長率為 14.74%。

隨著人工智慧技術革新藥物發現、臨床試驗和研究方法，全球製藥和生物技術領域的人工智慧市場正經歷快速成長。人工智慧使製藥公司能夠分析大量資料集，識別有前景的候選藥物，並加速新治療方法的開發。這種能力顯著降低了研究時間和成本，使人工智慧成為現代製藥創新中不可或缺的工具。

製藥和生技公司正在加強與科技公司的合作，將人工智慧融入研發流程中。人工智慧應用，例如預測分析、機器學習和數據建模，正在提高藥物研發的準確性和臨床試驗結果的精確度。這些技術有助於最佳化研究策略，提高藥物研發效率。

未來幾年，隨著人工智慧技術的不斷發展並與先進的生物醫學研究相結合，市場預計將顯著擴張。對數位醫療和計算生物學領域投資的增加，進一步鞏固了人工智慧在藥物創新中的作用。隨著對更快、更有效率的藥物研發需求的日益成長，人工智慧在製藥和生物技術領域的應用預計將加速推進。

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9章競爭情勢

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10章：公司簡介

主要公司的市佔率分析
公司簡介
- IBM Watson Health
- Google DeepMind
- Microsoft Genomics
- NVIDIA Corporation
- Atomwise
- BenevolentAI
- Insilico Medicine
- Exscientia
- BioXcel Therapeutics
- CureMetrix
- PathAI
- Recursion Pharmaceuticals

簡介目錄

Product Code: VMR112114600

The AI in Pharma and Biotech Market size is expected to reach USD 36.70 Billion in 2034 from USD 10.65 Billion (2025) growing at a CAGR of 14.74% during 2026-2034.

The global AI in pharma and biotech market is experiencing rapid growth as artificial intelligence technologies transform drug discovery, clinical trials, and research processes. AI enables pharmaceutical companies to analyze vast datasets, identify potential drug candidates, and accelerate the development of new treatments. This capability significantly reduces research time and costs, making AI an essential tool in modern pharmaceutical innovation.

Pharmaceutical and biotechnology companies are increasingly partnering with technology firms to integrate AI into their research and development operations. AI applications such as predictive analytics, machine learning, and data modeling are improving the accuracy of drug development and clinical trial outcomes. These technologies are helping organizations optimize research strategies and improve the efficiency of pharmaceutical development.

In the coming years, the market is expected to expand significantly as AI technologies continue to evolve and integrate with advanced biomedical research. Growing investments in digital healthcare and computational biology are further strengthening the role of AI in pharmaceutical innovation. As the demand for faster and more efficient drug development increases, AI adoption in the pharma and biotech sectors is likely to accelerate.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

Software
Hardware
Services

By Application

Drug Discovery
Clinical Trials
Personalized Medicine
Diagnostics
Others

By Deployment Mode

On-Premises
Cloud

By End-User

Pharmaceutical Companies
Biotechnology Companies
Research Institutes
Others

COMPANIES PROFILED

IBM Watson Health, Google DeepMind, Microsoft Genomics, NVIDIA Corporation, Atomwise, BenevolentAI, Insilico Medicine, Exscientia, BioXcel Therapeutics, CureMetrix, PathAI, Recursion Pharmaceuticals
We can customise the report as per your requirements.

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 PHARMA AND BIOTECH MARKET: BY COMPONENT 2022-2034 (USD MN)

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

Chapter 5. GLOBAL AI IN PHARMA AND BIOTECH MARKET: BY APPLICATION 2022-2034 (USD MN)

5.1. Market Analysis, Insights and Forecast Application
5.2. Drug Discovery Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.3. Clinical Trials Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.4. Personalized Medicine Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.5. Diagnostics Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN PHARMA AND BIOTECH MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)

6.1. Market Analysis, Insights and Forecast Deployment Mode
6.2. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.3. Cloud Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN PHARMA AND BIOTECH MARKET: BY END-USER 2022-2034 (USD MN)

7.1. Market Analysis, Insights and Forecast End-user
7.2. Pharmaceutical Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.3. Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.4. Research Institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN PHARMA AND BIOTECH MARKET: BY REGION 2022-2034(USD MN)

8.1. Regional Outlook
8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.2.1 By Component
- 8.2.2 By Application
- 8.2.3 By Deployment Mode
- 8.2.4 By End-user
- 8.2.5 United States
- 8.2.6 Canada
- 8.2.7 Mexico
8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.3.1 By Component
- 8.3.2 By Application
- 8.3.3 By Deployment Mode
- 8.3.4 By End-user
- 8.3.5 United Kingdom
- 8.3.6 France
- 8.3.7 Germany
- 8.3.8 Italy
- 8.3.9 Russia
- 8.3.10 Rest Of Europe
8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.4.1 By Component
- 8.4.2 By Application
- 8.4.3 By Deployment Mode
- 8.4.4 By End-user
- 8.4.5 India
- 8.4.6 Japan
- 8.4.7 South Korea
- 8.4.8 Australia
- 8.4.9 South East Asia
- 8.4.10 Rest Of Asia Pacific
8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.5.1 By Component
- 8.5.2 By Application
- 8.5.3 By Deployment Mode
- 8.5.4 By End-user
- 8.5.5 Brazil
- 8.5.6 Argentina
- 8.5.7 Peru
- 8.5.8 Chile
- 8.5.9 South East Asia
- 8.5.10 Rest of Latin America
8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 8.6.1 By Component
- 8.6.2 By Application
- 8.6.3 By Deployment Mode
- 8.6.4 By End-user
- 8.6.5 Saudi Arabia
- 8.6.6 UAE
- 8.6.7 Israel
- 8.6.8 South Africa
- 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

9.1. Recent Developments
9.2. Company Categorization
9.3. Supply Chain & Channel Partners (based on availability)
9.4. Market Share & Positioning Analysis (based on availability)
9.5. Vendor Landscape (based on availability)
9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL AI IN PHARMA AND BIOTECH INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Company Profiles
- 10.2.1 IBM Watson Health
- 10.2.2 Google DeepMind
- 10.2.3 Microsoft Genomics
- 10.2.4 NVIDIA Corporation
- 10.2.5 Atomwise
- 10.2.6 BenevolentAI
- 10.2.7 Insilico Medicine
- 10.2.8 Exscientia
- 10.2.9 BioXcel Therapeutics
- 10.2.10 CureMetrix
- 10.2.11 PathAI
- 10.2.12 Recursion Pharmaceuticals