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The global machine learning in the pharmaceutical industry market reached approximately USD 1.70 billion in 2023. The market is projected to grow at a CAGR of 37.7% between 2024 and 2032, reaching a value of around USD 30.26 billion by 2032.
Global Machine Learning in Pharmaceutical Industry Market Report Summary | Description | Value |
Base Year | USD Billion | 2023 |
Historical Period | USD Billion | 2018-2023 |
Forecast Period | USD Billion | 2024-2032 |
Market Size 2023 | USD Billion | 1.70 |
Market Size 2032 | USD Billion | 30.26 |
CAGR 2018-2023 | Percentage | XX% |
CAGR 2024-2032 | Percentage | 37.7% |
CAGR 2024-2032 - Market by Region | Asia Pacific | 48.8% |
CAGR 2024-2032 - Market by Country | India | 56.0% |
CAGR 2024-2032 - Market by Country | China | 46.8% |
CAGR 2024-2032 - Market by Product Type | Software | 41.5% |
CAGR 2024-2032 - Market by Application | Drug Discovery | 41.5% |
Market Share by Country 2023 | USA | XX% |
The global machine learning in pharmaceutical industry market value is increasing amid growing efforts to reduce the complexity of the drug discovery process. Machine learning, by predicting the biological activity of compounds and drug-drug interactions, enables researchers to efficiently identify potential drugs. Moreover, the increasing demand for personalised medicines among patients is anticipated to surge machine learning in pharmaceutical industry demand.
Advancements in machine learning are surging its applications in efficiently and affordably identifying common illnesses as well as rare diseases. Key players in the market are also leveraging innovative technologies to develop diagnostic and therapeutic treatments across multiple fields.
CAGR 2024-2032 - Market by | Product Type |
Software | 41.5% |
Services | 40.0% |
Hardware | 36.2% |
Others | 33.9% |
CAGR 2024-2032 - Market by | Application |
Drug Discovery | 41.5% |
Clinical Trial Data Analysis | 40.0% |
Personalized Medicine | 36.2% |
Others | 33.9% |
CAGR 2024-2032 - Market by | Region |
Asia Pacific | 48.8% |
Middle East and Africa | 40.8% |
Latin America | 35.9% |
North America | 31.0% |
Europe | 28.9% |
The global market is expected to exhibit substantial growth across various countries from 2024 to 2032. India is projected to lead with an exceptional CAGR of 56.0%, driven by increasing investments in healthcare technology and a robust pharmaceutical sector.
The growth of the machine learning in pharmaceutical industry market in China follows with a CAGR of 46.8%, supported by its strong technological advancements and large-scale adoption of machine learning in healthcare. Saudi Arabia and Brazil show significant growth rates of 42.8% and 41.2%, respectively, due to rising healthcare expenditures and efforts to integrate advanced technologies in pharmaceutical research.
Canada and Mexico also present strong CAGRs of 35.5% and 35.1%, respectively, reflecting the increasing focus on innovation in drug development. The UK, Australia, and the USA exhibit notable growth rates, with CAGRs of 34.5%, 33.2%, and 30.7%, respectively, driven by established research infrastructures and high levels of healthcare funding.
Japan, Germany, France, and Italy, with CAGRs ranging from 29.2% to 23.6%, continue to emphasise technological integration in pharmaceuticals to improve drug discovery and clinical trials.
CAGR 2024-2032 - Market by | Country |
India | 56.0% |
China | 46.8% |
Saudi Arabia | 42.8% |
Brazil | 41.2% |
Canada | 35.5% |
Mexico | 35.1% |
UK | 34.5% |
Australia | 33.2% |
USA | 30.7% |
Japan | 29.2% |
Germany | 27.7% |
France | 26.4% |
Italy | 23.6% |
Expert Market Research's industry report provides a comprehensive quantitative analysis of various market segments, historical and current market trends, and forecasts the dynamics of the Global machine learning in the pharmaceutical industry market spanning from 2018 to 2032.
The research report delivers up-to-date insights into the market drivers, challenges, and opportunities shaping the global machine learning in the pharmaceutical industry industry.
Stakeholders can leverage Porter's five forces analysis to assess the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. This analysis aids in evaluating the competitiveness and attractiveness of the global machine learning in the pharmaceutical industry market.
The competitive landscape section enables stakeholders to gain a deep understanding of their competitive environment. It offers insights into the current market positions of key players, their strategies, and their market shares.
Additionally, the report highlights emerging trends, regulatory influences, and technological advancements that are pivotal for stakeholders navigating the global machine learning in the pharmaceutical industry market landscape.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Product Type |
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Breakup by Application |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8. Global Machine Learning in Pharmaceutical Industry Market Analysis
8.1. Key Industry Highlights
8.2. Global Machine Learning in Pharmaceutical Industry Historical Market (2018-2023)
8.3. Global Machine Learning in Pharmaceutical Industry Market Forecast (2024-2032)
8.4. Global Machine Learning in Pharmaceutical Industry Market by Product Type
8.4.1. Software
8.4.1.1. Historical Trend (2018-2023)
8.4.1.2. Forecast Trend (2024-2032)
8.4.2. Services
8.4.2.1. Historical Trend (2018-2023)
8.4.2.2. Forecast Trend (2024-2032)
8.4.3. Hardware
8.4.3.1. Historical Trend (2018-2023)
8.4.3.2. Forecast Trend (2024-2032)
8.4.4. Others
8.5. Global Machine Learning in Pharmaceutical Industry Market by Application
8.5.1. Drug Discovery
8.5.1.1. Historical Trend (2018-2023)
8.5.1.2. Forecast Trend (2024-2032)
8.5.2. Clinical Trial Data Analysis
8.5.2.1. Historical Trend (2018-2023)
8.5.2.2. Forecast Trend (2024-2032)
8.5.3. Personalized Medicine
8.5.3.1. Historical Trend (2018-2023)
8.5.3.2. Forecast Trend (2024-2032)
8.5.4. Others
8.6. Global Machine Learning in Pharmaceutical Industry Market by Region
8.6.1. North America
8.6.1.1. Historical Trend (2018-2023)
8.6.1.2. Forecast Trend (2024-2032)
8.6.2. Europe
8.6.2.1. Historical Trend (2018-2023)
8.6.2.2. Forecast Trend (2024-2032)
8.6.3. Asia Pacific
8.6.3.1. Historical Trend (2018-2023)
8.6.3.2. Forecast Trend (2024-2032)
8.6.4. Latin America
8.6.4.1. Historical Trend (2018-2023)
8.6.4.2. Forecast Trend (2024-2032)
8.6.5. Middle East and Africa
8.6.5.1. Historical Trend (2018-2023)
8.6.5.2. Forecast Trend (2024-2032)
9. North America Machine Learning in Pharmaceutical Industry Market Analysis
9.1. Market by Product Type
9.2. Market by Application
9.3. Market by Country
9.3.1. United States of America
9.3.1.1. Market by Product Type
9.3.1.2. Market by Application
9.3.1.3. Historical Trend (2018-2023)
9.3.1.4. Forecast Trend (2024-2032)
9.3.2. Canada
9.3.2.1. Market by Product Type
9.3.2.2. Market by Application
9.3.2.3. Historical Trend (2018-2023)
9.3.2.4. Forecast Trend (2024-2032)
10. Europe Machine Learning in Pharmaceutical Industry Market Analysis
10.1. Market by Product Type
10.2. Market by Application
10.3. Market by Country
10.3.1. United Kingdom
10.3.1.1. Market by Product Type
10.3.1.2. Market by Application
10.3.1.3. Historical Trend (2018-2023)
10.3.1.4. Forecast Trend (2024-2032)
10.3.2. Germany
10.3.2.1. Market by Product Type
10.3.2.2. Market by Application
10.3.2.3. Historical Trend (2018-2023)
10.3.2.4. Forecast Trend (2024-2032)
10.3.3. France
10.3.3.1. Market by Product Type
10.3.3.2. Market by Application
10.3.3.3. Historical Trend (2018-2023)
10.3.3.4. Forecast Trend (2024-2032)
10.3.4. Italy
10.3.4.1. Market by Product Type
10.3.4.2. Market by Application
10.3.4.3. Historical Trend (2018-2023)
10.3.4.4. Forecast Trend (2024-2032)
10.3.5. Others
11. Asia Pacific Machine Learning in Pharmaceutical Industry Market Analysis
11.1. Market by Product Type
11.2. Market by Application
11.3. Market by Country
11.3.1. China
11.3.1.1. Market by Product Type
11.3.1.2. Market by Application
11.3.1.3. Historical Trend (2018-2023)
11.3.1.4. Forecast Trend (2024-2032)
11.3.2. Japan
11.3.2.1. Market by Product Type
11.3.2.2. Market by Application
11.3.2.3. Historical Trend (2018-2023)
11.3.2.4. Forecast Trend (2024-2032)
11.3.3. India
11.3.3.1. Market by Product Type
11.3.3.2. Market by Application
11.3.3.3. Historical Trend (2018-2023)
11.3.3.4. Forecast Trend (2024-2032)
11.3.4. ASEAN
11.3.4.1. Market by Product Type
11.3.4.2. Market by Application
11.3.4.3. Historical Trend (2018-2023)
11.3.4.4. Forecast Trend (2024-2032)
11.3.5. Australia
11.3.5.1. Market by Product Type
11.3.5.2. Market by Application
11.3.5.3. Historical Trend (2018-2023)
11.3.5.4. Forecast Trend (2024-2032)
11.3.6. Others
12. Latin America Machine Learning in Pharmaceutical Industry Market Analysis
12.1. Market by Product Type
12.2. Market by Application
12.3. Market by Country
12.3.1. Brazil
12.3.1.1. Market by Product Type
12.3.1.2. Market by Application
12.3.1.3. Historical Trend (2018-2023)
12.3.1.4. Forecast Trend (2024-2032)
12.3.2. Argentina
12.3.2.1. Market by Product Type
12.3.2.2. Market by Application
12.3.2.3. Historical Trend (2018-2023)
12.3.2.4. Forecast Trend (2024-2032)
12.3.3. Mexico
12.3.3.1. Market by Product Type
12.3.3.2. Market by Application
12.3.3.3. Historical Trend (2018-2023)
12.3.3.4. Forecast Trend (2024-2032)
12.3.4. Others
13. Middle East and Africa Machine Learning in Pharmaceutical Industry Market Analysis
13.1. Market by Product Type
13.2. Market by Application
13.3. Market by Country
13.3.1. Saudi Arabia
13.3.1.1. Market by Product Type
13.3.1.2. Market by Application
13.3.1.3. Historical Trend (2018-2023)
13.3.1.4. Forecast Trend (2024-2032)
13.3.2. United Arab Emirates
13.3.2.1. Market by Product Type
13.3.2.2. Market by Application
13.3.2.3. Historical Trend (2018-2023)
13.3.2.4. Forecast Trend (2024-2032)
13.3.3. Nigeria
13.3.3.1. Market by Product Type
13.3.3.2. Market by Application
13.3.3.3. Historical Trend (2018-2023)
13.3.3.4. Forecast Trend (2024-2032)
13.3.4. South Africa
13.3.4.1. Market by Product Type
13.3.4.2. Market by Application
13.3.4.3. Historical Trend (2018-2023)
13.3.4.4. Forecast Trend (2024-2032)
13.3.5. Others
14. Market Dynamics
14.1. SWOT Analysis
14.1.1. Strengths
14.1.2. Weaknesses
14.1.3. Opportunities
14.1.4. Threats
14.2. Porter’s Five Forces Analysis
14.2.1. Supplier’s Power
14.2.2. Buyer’s Power
14.2.3. Threat of New Entrants
14.2.4. Degree of Rivalry
14.2.5. Threat of Substitutes
14.3. Key Indicators for Demand
14.4. Key Indicators for Price
15. Competitive Landscape
15.1. Market Structure
15.2. Company Profiles
15.2.1. IBM Corporation
15.2.1.1. Company Overview
15.2.1.2. Product Portfolio
15.2.1.3. Demographic Reach and Achievements
15.2.1.4. Certifications
15.2.2. Google LLC
15.2.2.1. Company Overview
15.2.2.2. Product Portfolio
15.2.2.3. Demographic Reach and Achievements
15.2.2.4. Certifications
15.2.3. Microsoft Corporation
15.2.3.1. Company Overview
15.2.3.2. Product Portfolio
15.2.3.3. Demographic Reach and Achievements
15.2.3.4. Certifications
15.2.4. NVIDIA Corporation
15.2.4.1. Company Overview
15.2.4.2. Product Portfolio
15.2.4.3. Demographic Reach and Achievements
15.2.4.4. Certifications
15.2.5. Pfizer Inc.
15.2.5.1. Company Overview
15.2.5.2. Product Portfolio
15.2.5.3. Demographic Reach and Achievements
15.2.5.4. Certifications
15.2.6. AstraZeneca
15.2.6.1. Company Overview
15.2.6.2. Product Portfolio
15.2.6.3. Demographic Reach and Achievements
15.2.6.4. Certifications
15.2.7. Others
16. Key Trends and Developments in the Market
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