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Global AI-Enabled Drug Discovery and Clinical Trials Market Size is valued at USD 883.9 Million in 2024 and is predicted to reach USD 9321.5 Million by the year 2034 at a 26.7 % CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
AI-Enabled Drug Discovery and Clinical Trials are expected to gain promiscuous popularity over the coming years due to a rapid increase in the use of AI worldwide and its increasing scope of application in multiple industry verticals. Artificial intelligence technology is advancing rapidly, and continuous technological advancements are expected to boost AI-Enabled Drug Discovery and Clinical Trials market potential. The increasing digitization of the healthcare industry will also majorly propel AI-Enabled Drug Discovery and Clinical Trials across the world through 2031. Rising research and development activity will also help the AI-Enabled Drug Discovery and Clinical Trials market gain the expected impetus in the global marketplace through 2031.
However, the high costs associated with AI-Enabled Drug Discovery and Clinical Trials are expected to have a negative impact on the global AI-Enabled Drug Discovery and Clinical Trials market growth. The AI-Enabled Drug Discovery and Clinical Trials market experienced an increase in demand in the COVID-19 pandemic to fast track development of vaccines, and this trend set the stage for future market growth and will enhance AI-Enabled Drug Discovery and Clinical Trials market performance over the forecast period.
The AI-Enabled Drug Discovery and Clinical Trials market is segmented on the basis of product and application. Based on the component scope, the market is segmented into solutions and services. By application, the market is segmented into Data Aggregation and Analysis, Clinical Trials, Drug Design, Drug Characterization, and Biomarker Research. By therapeutic application, the market is segmented into Oncology, Cardiovascular Diseases, Nervous System Diseases, Respiratory Disorders, Metabolic Diseases, Immunologic Diseases, and Infectious Diseases. By end-users, the market is segmented into Biopharmaceutical Industry, Contract Research Organizations (CROs), and Academic Institutes and Research Centers.
The incidence of cancer has risen substantially over the past few years, and this has bolstered demand for oncology across the world. Increasing investments in oncology research and development are expected to boost AI-Enabled Drug Discovery and Clinical Trials market potential over the forecast period. The oncology segment is expected to be the most lucrative application segment over the forecast period.
The biopharmaceutical industry has taken notable strides ahead over the past few years, and this trend is rife over the forecast period as well. The rising number of biopharmaceutical companies across the world and increasing investments in research activity coupled with supportive government initiatives are expected to provide highly lucrative opportunities for AI-Enabled Drug Discovery and Clinical Trials market growth through 2031.
Global AI-Enabled Drug Discovery and Clinical Trials market in North America is estimated to dominate the forecast period due to the existence of strong healthcare infrastructure. Increasing investment on R&D activities sponsored by governments in this area is likely to be a major driver through 2030. Increasing adoption of technology in healthcare, favorable reimbursement policies, the surge in chronic diseases, rising incidence of cancers, and increasing demand for better diagnostics and treatment are other factors that are anticipated to propel the AI-Enabled Drug Discovery and Clinical Trials market growth over the forecast period. The United States and Canada are expected to lead the market growth in this region through 2031.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 883.9 Million |
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Revenue Forecast In 2034 |
USD 9321.5 Million |
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Growth Rate CAGR |
CAGR of 26.7% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
Component Scope, By Application, By Therapeutic Application, By End-Users |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
Biogas Products Ltd., CNG Services Ltd., Cryon Purr, Envi Tec Biogas AG, ETW Energietechnik GmbH, Future Biogas Ltd., Gasline, Gasrec Ltd, Gazasia Ltd., Green Gas Certification, JV Energe, Magne Gas, MemfoACT, Nordsol, ORBITA, Planet Biogas Global Gm, Schmack Carbotech GmbH, Southern California Gas Compa, VERBIO. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
By Component Scope-
By Application
By Therapeutic Application
By End-Users
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
