AI In Life Science Analytics Market Size, Share & Trends Analysis Report By Component (Software, Hardware, Services), By Deployment (On-premise, Cloud), By Application (Research and Development, Sales and Marketing support, Supply chain analytics, Others), By End-user (Medical Devices, Pharmaceutical, Biotechnology), By Region, And By Segment Forecasts, 2025-2034

Report Id: 2456 Pages: 180 Last Updated: 12 June 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of AI In Life Science Analytics Market-

AI In Life Science Analytics Market By Component-

  • Software
  • Hardware
  • Services

AI In Life Science Analytics Market seg

AI In Life Science Analytics Market By Deployment-

  • On-premise
  • Cloud

AI In Life Science Analytics Market By Application-

  • Research and Development
  • Sales and Marketing support
  • Supply chain analytics
  • Others

AI In Life Science Analytics Market By End-user-

  • Medical Devices
  • Pharmaceutical
  • Biotechnology

AI In Life Science Analytics Market By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI In Life Science Analytics Market Snapshot

Chapter 4. Global AI In Life Science Analytics Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Component Estimates & Trend Analysis

5.1. by Component & Market Share, 2024 & 2034

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Component:

5.2.1. Software

5.2.2. Hardware

5.2.3. Services

Chapter 6. Market Segmentation 2: by Deployment Estimates & Trend Analysis

6.1. by Deployment & Market Share, 2024 & 2034

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Deployment:

6.2.1. On-premise

6.2.2. Cloud

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis

7.1. by Application & Market Share, 2024 & 2034

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:

7.2.1. Research and Development

7.2.2. Sales and Marketing support

7.2.3. Supply chain analytics

7.2.4. Others

Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis

8.1. by End-User & Market Share, 2024 & 2034

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:

8.2.1. Medical Devices

8.2.2. Pharmaceutical

8.2.3. Biotechnology

8.2.4. Others

Chapter 9. AI In Life Science Analytics Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034

9.1.2. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment ,2021-2034

9.1.3. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034

9.1.4. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.1.5. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.2. Europe

9.2.1. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component ,2021-2034

9.2.2. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034

9.2.3. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034

9.2.4. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.2.5. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.3. Asia Pacific

9.3.1. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034

9.3.2. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034

9.3.3. Asia-Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034

9.3.4. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.3.5. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.4. Latin America

9.4.1. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034

9.4.2. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2021-2034

9.4.3. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034

9.4.4. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.4.5. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.5. Middle East & Africa

9.5.1. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034

9.5.2. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment ,2021-2034

9.5.3. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034

9.5.4. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034

9.5.5. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. Indegene

10.2.2. Lexalytics

10.2.3. Databricks

10.2.4. SAS Institute Inc.

10.2.5. Sisense

10.2.6. IQVIA

10.2.7. IBM

10.2.8. Sorcero

10.2.9. Atomwise

10.2.10. NuMedii

10.2.11. AiCure LLC

10.2.12. Nuance Communications

10.2.13. APIXIO, Inc

10.2.14. Insilico Medicine

10.2.15. Other Market Players

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

AI In Life Science Analytics Market Size is valued at USD 1.7 Bn in 2024 and is predicted to reach USD 4.6 Bn by the year 2034

AI In Life Science Analytics Market is expected to grow at a 10.4% CAGR during the forecast period for 2025-2034

Lexalytics, Databricks, SAS Institute Inc., Sisense, IQVIA, IBM, Sorcero, Atomwise, NuMedii, AiCure LLC, Nuance Communications, APIXIO, Inc, Insilico

Component, Application, Deployment, and End-Use are the key segments of the AI In Life Science Analytics Market

North America region is leading the AI In Life Science Analytics Market.

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