Report Description Table Of Content Research Methodology Download Free Sample

Market Snapshot

CAGR:6.35

2023

2032

Source: Market Expertz

Study Period	2019-2032
Base Year	2023
Forcast Year	2023-2032
CAGR	6.35

Gain accurate insights regarding the negative impacts of COVID-19 on all markets and industries

Download Sample Pdf

Report Overview

The Artificial Intelligence (AI) in Life Sciences Market is poised for significant growth, with a projected Compound Annual Growth Rate (CAGR) of 29.87% between 2022 and 2032. The market is anticipated to expand by USD 23,765.89 million during this period. AI technologies are being extensively applied in the life sciences sector to enhance drug discovery, clinical research, personalized medicine, and healthcare operations.

Artificial Intelligence in Life Sciences Market Overview:

Drivers:

The increasing complexity of biological data, the need for faster drug development, and the rise of precision medicine drive the growth of the AI in Life Sciences market. AI technologies offer advanced analytics, predictive modeling, and data-driven insights to accelerate research and innovation in life sciences.

Furthermore, the integration of AI in diagnostic imaging and genomics analysis enhances its market growth. AI-enabled systems can analyze medical images and genetic data, assisting in disease diagnosis and treatment planning.

Trends:

The use of AI-powered virtual drug screening and drug repurposing is a significant trend shaping the market. AI algorithms can analyze vast chemical and biological databases to identify potential drug candidates and predict their effectiveness.

Moreover, the implementation of AI-driven clinical trial design and patient recruitment is growing. AI technologies optimize clinical trial protocols, identify suitable participants, and streamline trial operations.

Restraints:

The challenges of data privacy and regulatory compliance in AI-powered diagnostics pose obstacles in the market. Handling sensitive patient data and ensuring compliance with data protection regulations are critical concerns.

Additionally, the need for extensive training data and potential biases in AI algorithms can be a barrier. High-quality, diverse datasets are required to train AI models accurately and avoid biases that could impact diagnosis and treatment recommendations.

AI in Life Sciences Market Segmentation by Application: The Drug Discovery segment, which includes AI-powered target identification and molecule optimization, is expected to witness substantial growth during the forecast period. AI technologies assist in identifying potential drug targets and designing molecules with desired properties.

Furthermore, the Clinical Trials segment, including AI-driven trial design and patient recruitment, is a key area in the AI in Life Sciences market. AI enhances clinical trial efficiency and patient selection.

AI in Life Sciences Market Segmentation by Technology: The Machine Learning segment, which includes neural networks and deep learning, is anticipated to remain prominent due to its ability to process complex biological data. Machine learning algorithms can uncover patterns and insights from large datasets.

Regional Overview:

Download the report summary now!

Request pdf Sample

North America is projected to contribute significantly to the global AI in Life Sciences market, accounting for 47% of the market share during the forecast period. The region's robust pharmaceutical and biotechnology industry, research institutions, and investments in AI-driven healthcare drive adoption.

Moreover, North America's focus on innovation, collaboration between academia and industry, and regulatory support for AI in healthcare align with the deployment of advanced AI solutions in life sciences.

In 2020, the AI in Life Sciences market witnessed accelerated growth, driven by the need for virtual research capabilities, drug repurposing, and data-driven pandemic response during the COVID-19 pandemic. AI technologies were leveraged for rapid analysis of molecular structures and treatment options.

AI in Life Sciences Market Customer Landscape: The market report analyzes the adoption lifecycle, spanning from early adopters to late adopters. It examines adoption rates across different areas of life sciences, considering penetration levels. The report also explores key criteria influencing AI solution selection and implementation.

Major AI in Life Sciences Market Companies: Key players in the AI in Life Sciences market are adopting diverse strategies such as partnerships, acquisitions, and technology innovation to enhance their market presence.

Some major players include:

IBM Corporation
Google LLC (Alphabet Inc.)
Microsoft Corporation
NVIDIA Corporation
DeepMind Technologies Limited
Amazon Web Services, Inc.
Intel Corporation
General Electric Company
Thermo Fisher Scientific Inc.
Insilico Medicine, Inc.

The research report provides a comprehensive competitive landscape analysis of 20 market companies, evaluating their strengths, weaknesses, and strategic approaches. The analysis categorizes companies based on their market focus and dominance.

Segment Overview:

The AI in Life Sciences market report forecasts revenue growth globally, regionally, and at the country level. It analyzes trends and growth opportunities from 2019 to 2032.

Application Outlook (USD Million, 2019 - 2032)

Drug Discovery (Target Identification, Molecule Optimization)
Clinical Trials (Trial Design, Patient Recruitment)
Diagnostic Imaging
Genomics Analysis
Others

Technology Outlook (USD Million, 2019 - 2032)

Machine Learning (Neural Networks, Deep Learning)
Natural Language Processing
Computer Vision

Geography Outlook (USD Million, 2019 - 2032)

North America

U.S.
Canada

Europe

U.K.
Germany
France
Rest of Europe

APAC

China
Japan

South America

Brazil
Argentina
Rest of South America

Middle East & Africa

UAE
South Africa
Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL Artificial Intelligence in Life Sciences MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. Artificial Intelligence in Life Sciences MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Artificial Intelligence in Life Sciences Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

4.5.1. Power Of Suppliers

4.5.2. Power Of Buyers

4.5.3. Threat Of Substitutes

4.5.4. Threat Of New Entrants

4.5.5. Competitive Rivalry

Chapter 5. Artificial Intelligence in Life Sciences MARKET BY type landscape

SIGHTS & TRENDS

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Type 1

5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 Type 2

5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4 Type 3

5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. Artificial Intelligence in Life Sciences MARKET BY End user INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 Drug Discovery

6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Medical Diagnosis

6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4 Biotechnology

6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.5 Patient Monitoring

6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. Artificial Intelligence in Life Sciences MARKET REGIONAL OUTLOOK

7.1. Artificial Intelligence in Life Sciences Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

7.2.1. North America Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.2. North America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.3. North America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.4. North America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

7.2.5.1. U.S. Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.5.2. U.S. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.5.3. U.S. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.5.4. U.S. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

7.2.6.1. Canada Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.2.6.2. Canada Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.2.6.3. Canada Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.2.6.4. Canada Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

7.3.1. Europe Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.2. Europe Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.3. Europe Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.4. Europe Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

7.3.5.1. Germany Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.5.2. Germany Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.5.3. Germany Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.5.4. Germany Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

7.3.6.1. France Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.6.2. France Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.6.3. France Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.6.4. France Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

7.3.7.1. U.K. Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.3.7.2. U.K. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.3.7.3. U.K. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.3.7.4. U.K. Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

7.4.1. Asia Pacific Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.2. Asia Pacific Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.3. Asia Pacific Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.4. Asia Pacific Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.5. CHINA

7.4.5.1. China Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.5.2. China Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.5.3. China Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.5.4. China Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

7.4.6.1. India Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.6.2. India Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.6.3. India Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.6.4. India Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

7.4.7.1. Japan Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.7.2. Japan Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.7.3. Japan Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.7.4. Japan Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

7.4.8.1. Australia Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.4.8.2. Australia Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.4.8.3. Australia Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.4.8.4. Australia Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

7.5.1. Mea Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.5.2. Mea Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.5.3. Mea Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.5.4. Mea Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

7.6.1. Latin America Artificial Intelligence in Life Sciences Market Estimates And Forecast, 2016 – 2027, (USD Million)

7.6.2. Latin America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

7.6.3. Latin America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

7.6.4. Latin America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

7.6.5. Latin America Artificial Intelligence in Life Sciences Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

8.2.1. New Product Launches

8.2.2. Investment & Expansion

8.2.3. Acquisitions

8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

8.3.1. North American Suppliers

8.3.2. European Suppliers

8.3.3. Asia-Pacific Suppliers

8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 IBM Corporation

9.1.1. Company Overview

9.1.2. Financial Performance

9.1.3. Product Insights

9.1.4. Strategic Initiatives

9.2 NuMedii

9.2.1. Company Overview

9.2.2. Financial Performance

9.2.3. Product Insights

9.2.4. Strategic Initiatives

9.3 Atomwise

9.3.1. Company Overview

9.3.2. Financial Performance

9.3.3. Product Insights

9.3.4. Strategic Initiatives

9.4 Lifegraph

9.4.1. Company Overview

9.4.2. Financial Performance

9.4.3. Product Insights

9.4.4. Strategic Initiatives

9.5 Cyrcadia Health

9.5.1. Company Overview

9.5.2. Financial Performance

9.5.3. Product Insights

9.5.4. Strategic Initiatives

9.6 Company 6

9.6.1. Company Overview

9.6.2. Financial Performance

9.6.3. Product Insights

9.6.4. Strategic Initiatives

9.7 Company 7

9.7.1. Company Overview

9.7.2. Financial Performance

9.7.3. Product Insights

9.7.4. Strategic Initiatives

9.8 Company 8

9.8.1. Company Overview

9.8.2. Financial Performance

9.8.3. Product Insights

9.8.4. Strategic Initiatives

9.9 Company 9

9.9.1. Company Overview

9.9.2. Financial Performance

9.9.3. Product Insights

9.9.4. Strategic Initiatives

9.10 Company 10

9.10.1. Company Overview

9.10.2. Financial Performance

9.10.3. Product Insights

9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

You can also purchase parts of this report. Do you want to check out a section wise price list?

Request for Special Pricing

Personalized Business Report Tailored to Your Requirements

Our expert analysts collaborate directly with you to comprehend your specific needs.
Get data on regions, segments, competitors, and vendors of your choice.
Information is presented in alignment with your exact preferences and formatting.

Request for customization

Ask For Discount

Free Sample Report

"Find new revenue generation opportunities"

Artificial Intelligence In Life Sciences Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032