AI In Life Science Analytics Market Size, Share & Trends Analysis Report By Deployment (Cloud, On-premise), By Component (Software, Hardware, Services), By Application (Research And Development, Supply Chain Analytics), By End Use, By Region, And Segment
Description
AI In Life Science Analytics Market Summary
The global AI in life science analytics market size was estimated at USD 1.94 billion in 2024 and is projected to reach USD 4.84 billion by 2033, growing at a CAGR of 10.64% from 2025 to 2033. The global market is experiencing significant growth driven by advancements in AI and machine learning technologies.
Innovations in AI technologies have transformed the analysis of complex, large-scale biological and clinical data. Advancements such as deep learning, generative AI, and high-performance computing facilitate faster, more accurate drug discovery and personalized medicine development. These innovations have enhanced the analysis of complex and large-scale datasets, thereby improving drug discovery, personalized medicine, and patient care. In addition, increased investments from pharmaceutical companies and government initiatives supporting AI research and development are contributing to market expansion. AI's capabilities in streamlining clinical trials, optimizing supply chain management, and enhancing decision-making processes are further accelerating its adoption within the life sciences industry.
Life sciences industries focus on enhancing health through innovative medical solutions, including drug development, critical disease treatments, and minimally invasive surgical equipment to improve patient outcomes and recovery times. Companies are actively advancing AI innovation in this sector. For example, in October 2023, Fujitsu Limited and RIKEN's HPC- and AI-driven Drug Development Platform Division introduced an AI technology that predicts protein’s structural changes from electron microscope images, generating 3D density maps using generative AI.
Government initiatives supporting AI in life sciences vary globally, reflecting diverse strategies to leverage AI for healthcare, biomedical research, and pharmaceutical innovation. These initiatives aim to accelerate technological advancements, foster cross-sector collaboration, and address regulatory and ethical challenges. Notably, the U.S. has made substantial progress with the National Artificial Intelligence Initiative Office (NAIIO), established in early 2021, which coordinates AI research and development across federal agencies, academia, and industry.
Key players in the market are increasingly focused on enhancing their AI-based tools to improve quality and capabilities. In March 2022, Sorcero launched 'Clarity,' a tool designed to offer medical affairs teams an integrated view across all areas of scientific engagement. Utilizing Sorcero’s advanced analytics, medical teams can now visualize and track medical content at scale. In addition, in 2022, CloudMedx introduced 'ACO REACH Explorer,' aimed at unifying and visualizing disparate data to enhance health equity and Omni channel patient engagement.
Global AI in Life Science Analytics Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in life science analytics market report based on deployment, component, application, end use, and region.
The global AI in life science analytics market size was estimated at USD 1.94 billion in 2024 and is projected to reach USD 4.84 billion by 2033, growing at a CAGR of 10.64% from 2025 to 2033. The global market is experiencing significant growth driven by advancements in AI and machine learning technologies.
Innovations in AI technologies have transformed the analysis of complex, large-scale biological and clinical data. Advancements such as deep learning, generative AI, and high-performance computing facilitate faster, more accurate drug discovery and personalized medicine development. These innovations have enhanced the analysis of complex and large-scale datasets, thereby improving drug discovery, personalized medicine, and patient care. In addition, increased investments from pharmaceutical companies and government initiatives supporting AI research and development are contributing to market expansion. AI's capabilities in streamlining clinical trials, optimizing supply chain management, and enhancing decision-making processes are further accelerating its adoption within the life sciences industry.
Life sciences industries focus on enhancing health through innovative medical solutions, including drug development, critical disease treatments, and minimally invasive surgical equipment to improve patient outcomes and recovery times. Companies are actively advancing AI innovation in this sector. For example, in October 2023, Fujitsu Limited and RIKEN's HPC- and AI-driven Drug Development Platform Division introduced an AI technology that predicts protein’s structural changes from electron microscope images, generating 3D density maps using generative AI.
Government initiatives supporting AI in life sciences vary globally, reflecting diverse strategies to leverage AI for healthcare, biomedical research, and pharmaceutical innovation. These initiatives aim to accelerate technological advancements, foster cross-sector collaboration, and address regulatory and ethical challenges. Notably, the U.S. has made substantial progress with the National Artificial Intelligence Initiative Office (NAIIO), established in early 2021, which coordinates AI research and development across federal agencies, academia, and industry.
Key players in the market are increasingly focused on enhancing their AI-based tools to improve quality and capabilities. In March 2022, Sorcero launched 'Clarity,' a tool designed to offer medical affairs teams an integrated view across all areas of scientific engagement. Utilizing Sorcero’s advanced analytics, medical teams can now visualize and track medical content at scale. In addition, in 2022, CloudMedx introduced 'ACO REACH Explorer,' aimed at unifying and visualizing disparate data to enhance health equity and Omni channel patient engagement.
Global AI in Life Science Analytics Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in life science analytics market report based on deployment, component, application, end use, and region.
- Deployment Outlook (Revenue, USD Million, 2021 - 2033)
- On-premises
- Cloud-based
- Component Outlook (Revenue, USD Million, 2021 - 2033)
- Hardware
- Software
- Services
- Application Outlook (Revenue, USD Million, 2021 - 2033)
- Research and Development
- Sales and Marketing Support
- Supply Chain Analytics
- Others
- End Use Outlook (Revenue, USD Million, 2021 - 2033)
- Medical Device Companies
- Pharmaceutical Companies
- Biotechnology Companies
- Others
- Regional Outlook (Revenue, USD Million, 2021 - 2033)
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Norway
- Sweden
- Denmark
- Asia Pacific
- Japan
- China
- India
- Australia
- Thailand
- Latin America
- Brazil
- Argentina
- Middle East and Africa (MEA)
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
100 Pages
- Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definitions
- 1.2.1. Component Segment
- 1.2.2. Deployment Segment
- 1.2.3. Application Segment
- 1.2.4. End Use
- 1.3. Information analysis
- 1.3.1. Market formulation & data visualization
- 1.4. Data validation & publishing
- 1.5. Information Procurement
- 1.5.1. Primary Research
- 1.6. Information or Data Analysis
- 1.7. Market Formulation & Validation
- 1.8. Market Model
- 1.9. Total Market: CAGR Calculation
- 1.10. Objectives
- 1.10.1. Objective 1
- 1.10.2. Objective 2
- Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Snapshot
- 2.3. Competitive Insights Landscape
- Chapter 3. AI in Life Science Analytics Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook.
- 3.2. Market Dynamics
- 3.2.1. Market driver analysis
- 3.2.2. Market restraint analysis
- 3.2.3. Market opportunity analysis
- 3.2.4. Market challenges analysis
- 3.3. AI in Life Science Analytics Market Analysis Tools
- 3.3.1. Industry Analysis - Porter’s
- 3.3.1.1. Supplier power
- 3.3.1.2. Buyer power
- 3.3.1.3. Substitution threat
- 3.3.1.4. Threat of new entrant
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Technological landscape
- 3.3.2.3. Economic landscape
- 3.3.2.4. Environmental Landscape
- 3.3.2.5. Legal Landscape
- 3.3.2.6. Social Landscape
- Chapter 4. AI in Life Science Analytics Market: Component Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Global AI in Life Science Analytics Market Component Movement Analysis
- 4.3. Global AI in Life Science Analytics Market Size & Trend Analysis, by Component, 2021 to 2033 (USD Million)
- 4.4. Software
- 4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.5. Hardware
- 4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 4.6. Services
- 4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 5. AI in Life Science Analytics Market: Deployment Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Global AI in Life Science Analytics Market Deployment Movement Analysis
- 5.3. Global AI in Life Science Analytics Market Size & Trend Analysis, by Deployment, 2021 to 2033 (USD Million)
- 5.4. Cloud-based
- 5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 5.5. On-Premises
- 5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 6. AI in Life Science Analytics Market: Application Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Global AI in Life Science Analytics Market Application Movement Analysis
- 6.3. Global AI in Life Science Analytics Market Size & Trend Analysis, by Application, 2021 to 2033 (USD Million)
- 6.4. Research and Development
- 6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.5. Sales and Marketing Support
- 6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.6. Supply Chain Analytics
- 6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 6.7. Others
- 6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 7. AI in Life Science Analytics Market: End Use Estimates & Trend Analysis
- 7.1. Segment Dashboard
- 7.2. Global AI in Life Science Analytics Market End Use Movement Analysis
- 7.3. Global AI in Life Science Analytics Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
- 7.4. Pharmaceutical Companies
- 7.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.5. Biotechnology Companies
- 7.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.6. Medical Device Companies
- 7.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- 7.7. Others
- 7.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
- Chapter 8. Regional Estimates & Trend Analysis
- 8.1. Regional Market Share Analysis, 2024 & 2033
- 8.2. Regional Market Dashboard
- 8.3. Market Size, & Forecasts Trend Analysis, 2021 to 2033:
- 8.4. North America
- 8.4.1. North America AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.4.2. U.S.
- 8.4.2.1. Key country dynamic
- 8.4.2.2. Regulatory framework
- 8.4.2.3. Competitive insights
- 8.4.2.4. U.S. AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.4.3. Canada
- 8.4.3.1. Key country dynamic
- 8.4.3.2. Regulatory framework
- 8.4.3.3. Competitive insights
- 8.4.3.4. Canada AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.4.4. Mexico
- 8.4.4.1. Key country dynamic
- 8.4.4.2. Regulatory framework
- 8.4.4.3. Competitive insights
- 8.4.4.4. Mexico AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5. Europe
- 8.5.1. Europe AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.2. UK
- 8.5.2.1. Key country dynamic
- 8.5.2.2. Regulatory framework
- 8.5.2.3. Competitive insights
- 8.5.2.4. UK AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.3. Germany
- 8.5.3.1. Key country dynamic
- 8.5.3.2. Regulatory framework
- 8.5.3.3. Competitive insights
- 8.5.3.4. Germany AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.4. France
- 8.5.4.1. Key country dynamic
- 8.5.4.2. Regulatory framework
- 8.5.4.3. Competitive insights
- 8.5.4.4. France AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.5. Italy
- 8.5.5.1. Key country dynamic
- 8.5.5.2. Regulatory framework
- 8.5.5.3. Competitive insights
- 8.5.5.4. Italy AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.6. Spain
- 8.5.6.1. Key country dynamic
- 8.5.6.2. Regulatory framework
- 8.5.6.3. Competitive insights
- 8.5.6.4. Spain AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.7. Norway
- 8.5.7.1. Key country dynamic
- 8.5.7.2. Regulatory framework
- 8.5.7.3. Competitive insights
- 8.5.7.4. Norway AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.8. Sweden
- 8.5.8.1. Key country dynamic
- 8.5.8.2. Regulatory framework
- 8.5.8.3. Competitive insights
- 8.5.8.4. Sweden AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.5.9. Denmark
- 8.5.9.1. Key country dynamic
- 8.5.9.2. Regulatory framework
- 8.5.9.3. Competitive insights
- 8.5.9.4. Denmark AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6. Asia Pacific
- 8.6.1. Asia Pacific AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.2. Japan
- 8.6.2.1. Key country dynamic
- 8.6.2.2. Regulatory framework
- 8.6.2.3. Competitive insights
- 8.6.2.4. Japan AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.3. China
- 8.6.3.1. Key country dynamic
- 8.6.3.2. Regulatory framework
- 8.6.3.3. Competitive insights
- 8.6.3.4. China AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.4. India
- 8.6.4.1. Key country dynamic
- 8.6.4.2. Regulatory framework
- 8.6.4.3. Competitive insights
- 8.6.4.4. India AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.5. Australia
- 8.6.5.1. Key country dynamic
- 8.6.5.2. Regulatory framework
- 8.6.5.3. Competitive insights
- 8.6.5.4. Australia AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.6. South Korea
- 8.6.6.1. Key country dynamic
- 8.6.6.2. Regulatory framework
- 8.6.6.3. Competitive insights
- 8.6.6.4. South Korea AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.6.7. Thailand
- 8.6.7.1. Key country dynamic
- 8.6.7.2. Regulatory framework
- 8.6.7.3. Competitive insights
- 8.6.7.4. Thailand AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7. Latin America
- 8.7.1. Latin America AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.2. Brazil
- 8.7.2.1. Key country dynamic
- 8.7.2.2. Regulatory framework
- 8.7.2.3. Competitive insights
- 8.7.2.4. Brazil AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.7.3. Argentina
- 8.7.3.1. Key country dynamic
- 8.7.3.2. Regulatory framework
- 8.7.3.3. Competitive insights
- 8.7.3.4. Argentina AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8. MEA
- 8.8.1. MEA AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8.2. South Africa
- 8.8.2.1. Key country dynamic
- 8.8.2.2. Regulatory framework
- 8.8.2.3. Competitive insights
- 8.8.2.4. South Africa AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8.3. Saudi Arabia
- 8.8.3.1. Key country dynamic
- 8.8.3.2. Regulatory framework
- 8.8.3.3. Competitive insights
- 8.8.3.4. Saudi Arabia AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8.4. UAE
- 8.8.4.1. Key country dynamic
- 8.8.4.2. Regulatory framework
- 8.8.4.3. Competitive insights
- 8.8.4.4. UAE AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- 8.8.5. Kuwait
- 8.8.5.1. Key country dynamic
- 8.8.5.2. Regulatory framework
- 8.8.5.3. Competitive insights
- 8.8.5.4. Kuwait AI in life science analytics market estimates and forecasts, 2021 - 2033 (USD Million)
- Chapter 9. Competitive Landscape
- 9.1. Participant Overview
- 9.2. Company Market Position Analysis
- 9.3. Company Categorization
- 9.4. Strategy Mapping
- 9.5. Company Profiles/Listing
- 9.5.1. Inovalon
- 9.5.1.1. Overview
- 9.5.1.2. Financial performance
- 9.5.1.3. Product benchmarking
- 9.5.1.4. Strategic initiatives
- 9.5.2. Indegene
- 9.5.2.1. Overview
- 9.5.2.2. Financial performance
- 9.5.2.3. Product benchmarking
- 9.5.2.4. Strategic initiatives
- 9.5.3. Lexalytics
- 9.5.3.1. Overview
- 9.5.3.2. Financial performance
- 9.5.3.3. Product benchmarking
- 9.5.3.4. Strategic initiatives
- 9.5.4. atabricks
- 9.5.4.1. Overview
- 9.5.4.2. Financial performance
- 9.5.4.3. Product benchmarking
- 9.5.4.4. Strategic initiatives
- 9.5.5. SAS Institute, Inc.
- 9.5.5.1. Overview
- 9.5.5.2. Financial performance
- 9.5.5.3. Product benchmarking
- 9.5.5.4. Strategic initiatives
- 9.5.6. IQVIA
- 9.5.6.1. Overview
- 9.5.6.2. Financial performance
- 9.5.6.3. Product benchmarking
- 9.5.6.4. Strategic initiatives
- 9.5.7. IBM
- 9.5.7.1. Overview
- 9.5.7.2. Financial performance
- 9.5.7.3. Product benchmarking
- 9.5.7.4. Strategic initiatives
- 9.5.8. Sorcero
- 9.5.8.1. Overview
- 9.5.8.2. Financial performance
- 9.5.8.3. Product benchmarking
- 9.5.8.4. Strategic initiatives
- 9.5.9. Axtria
- 9.5.9.1. Overview
- 9.5.9.2. Financial performance
- 9.5.9.3. Product benchmarking
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