AI in Drug Discovery Market
- December, 2023
- LifeSciences and Healthcare
AI in Drug Discovery Market By Offering (Software and Services), By Process (Target selection, Validation, Lead generation, optimization), By Drug Design (Small molecule, Vaccine, Antibody, PK/PD), Dry Lab, Wet Lab (Single Cell analysis), By Application (Novel Drug Candidates, Drug Optimization and Repurposing Preclinical Testing and Approval, Drug Monitoring), and By Region; Growth Trends & Forecasts (2024 - 2030)
As per Intent Market Research, the AI in Drug Discovery market is projected to grow from USD 0.9 billion in 2023-e to USD 8.9 billion by 2030, registering a CAGR of 39.7% during the forecast period (2024-2030).
The report focuses on estimating the current market potential in terms of the total addressable market for all the segments, sub-segments, and regions. In the process, all the high-growth and upcoming technologies were identified and analyzed to measure their impact on the current and future market. The report also identifies the key stakeholders, their business gaps, and their purchasing behavior. This information is essential for developing effective marketing strategies and creating products or services that meet the needs of the target market. The report also covers a detailed analysis of the competitive landscape which includes major players, their recent developments, growth strategies, product benchmarking, and manufacturing operations among others. Also, brief insights on start-up ecosystem and emerging companies is also included as part of this report.
Report Objectives:
The report will help you answer some of the most critical questions in the AI in Drug Discovery market. A few of them are as follows:
- What are the key drivers, restraints, opportunities, and challenges influencing the market growth?
- What are the prevailing technology trends in the AI in Drug Discovery market?
- What is the size of the AI in Drug Discovery market based on segments, sub-segments, and regions?
- What is the size of different market segments across key regions: North America, Europe, Asia Pacific, Middle East, and Rest of the World?
- What are the market opportunities for stakeholders after analyzing key market trends?
- Who are the leading market players and what are their market share and core competencies?
- What is the degree of competition in the market and what are the key growth strategies adopted by leading players?
- What is the competitive landscape of the market, including market share analysis, revenue analysis, and a ranking of key players?
Report Scope:
Report Features | Description |
Market Size (2023-e) | USD 0.9 billion |
Forecasted Value (2030) | USD 8.9 billion |
CAGR (2024-2030) | 39.7% |
Base Year for Estimation | 2023-e |
Historic Year | 2022 |
Forecast Period | 2024-2030 |
Report Coverage | Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered | AI in Drug Discovery Market By Offering (Software and Services), By Process (Target selection, Validation, Lead generation, optimization), By Drug Design (Small molecule, Vaccine, Antibody, PK/PD), Dry Lab, Wet Lab (Single Cell analysis), By Application (Novel Drug Candidates, Drug Optimization and Repurposing Preclinical Testing and Approval, Drug Monitoring) |
Regional Analysis | North America (US, Canada), Europe (Germany, France, UK, Spain, Italy & Rest of Europe), Asia Pacific (China, Japan, South Korea, India, and rest of Asia Pacific), Latin America (Brazil, Mexico, Argentina, & Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA) |
Customization Scope | Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
Research Methodology
A comprehensive market research approach was employed to gather and analyze data on the AI in Drug Discovery market. In the process, the analysis was also done to estimate the parent market and relevant adjacencies to major the impact of them on the AI in Drug Discovery Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary Research
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary Research
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the AI in Drug Discovery ecosystem. The primary research objectives included:
- Validating findings and assumptions derived from secondary research
- Gathering qualitative and quantitative data on market trends, drivers, and challenges
- Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
- Assessing the supply-side landscape, including technological advancements and recent developments
Market Size Estimation
A combination of top-down and bottom-up approaches was utilized to estimate the overall size of the AI in Drug Discovery market. These methods were also employed to estimate the size of various subsegments within the market. The market size estimation methodology encompassed the following steps:
- Identification of key industry players and relevant revenues through extensive secondary research
- Determination of the industry’s supply chain and market size, in terms of value, through primary and secondary research processes
- Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources
Data Triangulation
To ensure the accuracy and reliability of the market size estimates, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size estimates.
Contact Us
Intent Market Research employs a rigorous methodology to minimize residual errors by carefully defining the scope, validating findings through primary research, and consistently updating our in-house database. This dynamic approach allows us to capture ongoing market fluctuations and adapt to evolving market uncertainties.
The research factors used in our methodology vary depending on the specific market being analyzed. To begin with, we incorporate both demand and supply side information into our model to identify and address market gaps. Additionally, we also employ approaches such as Macro-indicator Analysis, Factor Analysis, Value Chain-Based Sizing, and forecasting to further increase the accuracy of the numbers and validate the findings.
Research Approach
- Secondary Research Approach: During the initial phase of the research process, we acquire and accumulate extensive data continuously. This data is carefully filtered and validated through a variety of secondary sources.
- Primary Research Approach: Following the consolidation of data gathered through secondary research, we initiate a validation process to verify all the market numbers, assumptions, and findings by engaging with the subject matter experts.
Data Collection, Analysis and Interpretation:
Research Methodology
Our market research methodology utilizes both top-down and bottom-up approaches to segment and estimate quantitative aspects of the market. We also employ multi-perspective analysis, examining the market from distinct viewpoints.
