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AI In Life Science Analytics Market

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, 2024-2031.

Report ID : 2456 | Published : 2024-04-29 | Pages: 180 | Format: PDF/EXCEL

AI In Life Science Analytics Market Size is valued at USD 1.63 Bn in 2023 and is predicted to reach USD 3.56 Bn by the year 2031 at a 10.39% CAGR during the forecast period for 2024-2031.

AI In Life Science Analytics Market info

Artificial Intelligence (AI) in life science analytics harnesses machine learning (ML), deep learning, as well as data analytics to revolutionize research and development in biotechnology, pharmaceuticals, and healthcare. Artificial intelligence (AI) applied to life science analytics has enormous potential to revolutionize research, improve healthcare outcomes, and streamline operations in the healthcare and life sciences industries. The use of AI is anticipated to transform data analysis and utilization in these crucial fields further as technology keeps progressing. Healthcare results and operational efficiency are both improved with the use of artificial intelligence (AI) in life science analytics. Furthermore, the field of drug research and development is ripe with potential for the growing market for artificial intelligence in life science analytics. 

However, the market growth is hampered by the high investment criteria for the safety and health of this market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or high AI in life science analytics because launching effective AI products requires massive investments of capital. The industry is neither easily nor immediately monetizable. Research and development teams and engineers specializing in machine learning are often necessary for these goods, and they can be rather costly.

In addition to the upfront software and cloud support expenses, life science businesses must also cover the continuing costs of training the AI system in response to changes in business processes. The difficulty in estimating return on investment (ROI), particularly at the outset of a project, is another major hurdle. However, The COVID-19 pandemic had a beneficial impact on businesses in the health and life sciences sector. The industry was forced to accelerate innovation in response to the pandemic, manage the interruption to clinical trials and supply chains, and deal with the crisis by using artificial intelligence (AI) for life science analytics at a significant upswing.

Competitive Landscape

Some Major Key Players In The AI In Life Science Analytics Market:

  • Indegene
  • Lexalytics
  • Databricks
  • SAS Institute Inc.
  • Sisense
  • IQVIA
  • IBM
  • Sorcero
  • Atomwise
  • NuMedii
  • AiCure LLC
  • Nuance Communications
  • APIXIO, Inc
  • Insilico Medicine
  • Other Market Players

Market Segmentation:

The Global AI in life science analytics market is segmented based on component, application, deployment, and end-use. As per the components, the market is categorized into hardware, software, and services. According to deployment, the market comprises on-premise and cloud. By application, the market is segmented into research and development, sales and marketing support, supply chain analytics, and others. By end use, the market is segmented into medical devices, pharmaceuticals, and biotechnology.

Based On The Application, The Research And Development Segment Is Accounted As A Major Contributor To The AI In Life Science Analytics Market.

The research and development of AI in the life science analytics market is expected to hold a major global market share in 2023. Research and development rely on AI to help accelerate the discovery of potential new medications, analyze genomic data, and support different steps in the drug development pipeline. It makes research decision-making, data analysis, and experimentation more efficient.

Hardware Segment To Witness Growth At A Rapid Rate.

The hardware dominates because specialist hardware components like AI memory and processors are in high demand. AI algorithms are used for more complicated operations,

In The Region, The North American AI In Life Science Analytics Market Holds A Significant Revenue Share.

The North American AI in life science analytics market is estimated to register the maximum market revenue share in the near future. This can be attributed to the fact that sophisticated network of roads, hospitals, and other medical facilities, as well as a booming biotech industry. The area is known for its innovative spirit, high concentration on research and development, and partnerships between IT firms and healthcare organizations. In addition, Asia Pacific is predicted to grow rapidly in the AI in life science analytics market because of the growing funding for cutting-edge research and development in this area. The expansion of healthcare facilities in the area is another factor that will boost the market's growth.

Competitive Landscape

The key players in the AI in life science analytics market have shifted their focus toward technological advancement and higher demand for them. They are initiating significant strategies such as mergers and joint ventures of major and domestic players to expand their selection of products and raise their global market footprint. Some of the major key players in the AI in life science analytics market are Indegene, Lexalytics, Databricks, SAS Institute Inc., Sisense, IQVIA, IBM, Sorcero, Atomwise, NuMedii, AiCure LLC, Nuance Communications, APIXIO, Inc, Insilico Medicine, and Other Market Players.

Recent Developments:

  • In Feb 2024, Wipro and IBM extended their partnership in order to provide clients with new AI services and support. the Wipro enterprise ai-ready platform was developed by Wipro and IBM in the course of an extensive collaboration. The expanded collaboration merged the technological prowess and industry knowledge of Wipro with IBM's pioneering hybrid cloud and AI developments. The objective was to develop collaborative solutions that facilitated the progress of integrating, enterprise-ready, dependable, and comprehensive artificial intelligence solutions.
  • In Dec 2022, Quantori formed a partnership with Databricks to expedite data-driven advancements in the fields of life sciences and healthcare. Quantori created solutions using the Databricks Lakehouse Platform to offer immediate insights into real-world data to enhance patient outcomes for researchers and physicians.

AI In Life Science Analytics Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 1.63 Bn

Revenue Forecast In 2031

USD 3.56 Bn

Growth Rate CAGR

CAGR of 10.39 % from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Component, Application, Deployment, And End-Use

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Indegene, Lexalytics, Databricks, SAS Institute Inc., Sisense, IQVIA, IBM, Sorcero, Atomwise, NuMedii, AiCure LLC, Nuance Communications, APIXIO, Inc, Insilico Medicine, and Other Market Players

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

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, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019 & 2031

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 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, 2019-2031

9.1.2. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment ,2019-2031

9.1.3. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.1.4. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.1.5. North America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.2. Europe

9.2.1. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component ,2019-2031

9.2.2. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031

9.2.3. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.2.4. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.2.5. Europe AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.3. Asia Pacific

9.3.1. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031

9.3.2. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031

9.3.3. Asia-Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.3.4. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.3.5. Asia Pacific AI In Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.4. Latin America

9.4.1. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2019-2031

9.4.2. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment, 2019-2031

9.4.3. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.4.4. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.4.5. Latin America AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

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, 2019-2031

9.5.2. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Deployment ,2019-2031

9.5.3. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.5.4. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.5.5. Middle East & Africa AI in Life Science Analytics Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

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

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
  • Mexico

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
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

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

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the AI In Life Science Analytics Market Size?

AI In Life Science Analytics Market is expected to grow at a 10.39% CAGR during the forecast period for 2024-2031.

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

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