According to recent research conducted by Mercatus Research (MR), the global Artificial Intelligence (AI) in Drug Discovery market exhibited promising growth, valued at US$ million in 2023. This sector is anticipated to further expand, reaching a revised size of US$ million by 2030, with a projected Compound Annual Growth Rate (CAGR) of 35.399999999999999% during the review period.
The study sheds light on the immense potential of the global Artificial Intelligence (AI) in Drug Discovery market. Artificial Intelligence (AI) in Drug Discovery are poised for consistent growth in the forthcoming market landscape. Nevertheless, achieving widespread adoption of Artificial Intelligence (AI) in Drug Discovery hinges on product differentiation, cost reduction, and supply chain optimization. Market participants must prioritize investments in research and development, establish strategic partnerships, and align their product offerings with evolving consumer preferences to harness the substantial opportunities inherent in the Artificial Intelligence (AI) in Drug Discovery market.
| REPORT METRIC | DETAILS |
| Forecast Period | 2024 – 2032 |
| Base Year | 2023 |
| Historic Years | 2018 – 2023 |
| CAGR % | 35.399999999999999% |
| Quantitative Units | Revenue in USD Million |
| Market Players Covered | IBM (Watson Health), Google (Verily Life Sciences), NVIDIA (Clara Discovery), Exscientia, BenevolentAI, Insilico Medicine, Freenome, Atomwise, Genedata, Schrodinger |
| Key Regions Covered | North America, Europe, Asia Pacific, Latin America and Rest of the World |
| Market Drivers | Acceleration of drug discovery processes and research.
Prediction of drug-target interactions and compound screening. Personalized medicine and targeted therapies development. |
| Market Restrain | Regulatory hurdles and lengthy approval processes for new drugs.
Challenges in data quality and availability for AI algorithms. Ethical considerations and biases in AI-driven drug discovery. |
Key Aspects Covered:
Market Size and Growth: The research report presents an overview of the current market size, historical data, and market segmentation by type by applications etc. Additionally, it provides regional breakdowns, offering a comprehensive understanding of the market’s scope and potential.
Market Drivers and Challenges: The report analyzes the factors propelling the growth of Artificial Intelligence (AI) in Drug Discovery, including government regulations, environmental concerns, technological advancements, and evolving consumer preferences. It also delves into challenges faced by the industry, such as infrastructure limitations and high upfront costs.
Competitive Landscape: The research delves into the competitive landscape, profiling key players. It examines their market share, strategies, and product offerings, while also highlighting emerging players and their potential impact on the market.
Technological Developments: The report explores the latest technological advancements in the Artificial Intelligence (AI) in Drug Discovery sector, encompassing innovations, investments, and new entrants that are shaping the industry’s future.
Consumer Preferences: Insight into customer procurement behavior, preferences, and factors influencing purchasing decisions are detailed. This includes preferences for specific Artificial Intelligence (AI) in Drug Discovery products.
Government Policies and Sustainability: An analysis of government policies, subsidies, tax incentives, and their effectiveness in promoting the Artificial Intelligence (AI) in Drug Discovery market is included. Additionally, the report assesses the environmental impact and sustainability aspects of the industry.
Market Forecasts and Outlook: Based on comprehensive analysis, the report provides market forecasts, growth rates, regional trends, and predictions concerning technological advancements and policy developments, offering a holistic view of the market’s future.
Recommendations and Opportunities: The report concludes with strategic recommendations for industry stakeholders, policymakers, and investors. It identifies potential opportunities, key trends, and challenges, guiding market players to make informed decisions.
Artificial Intelligence (AI) in Drug Discovery Market Drivers:
- Acceleration of drug discovery processes and research.
- Prediction of drug-target interactions and compound screening.
- Personalized medicine and targeted therapies development.
Artificial Intelligence (AI) in Drug Discovery Market Restrain:
- Regulatory hurdles and lengthy approval processes for new drugs.
- Challenges in data quality and availability for AI algorithms.
- Ethical considerations and biases in AI-driven drug discovery.
Artificial Intelligence (AI) in Drug Discovery Market Segmentation:
The Artificial Intelligence (AI) in Drug Discovery market is segmented By Type
- Machine Learning for Target Identification
- Deep Learning for Lead Optimization
The Artificial Intelligence (AI) in Drug Discovery market is segmented By Application
- Oncology Drugs
- Cardiovascular Drugs
- Central Nervous System (CNS) Drugs
The report further divides the market by Region
- North America
- The U.S.
- Canada
- Europe
- France
- The UK
- Spain
- Germany
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Southeast Asia
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- GCC
- South Africa
- Rest of Middle East & Africa
Note: Please feel free to reach out to us for further details on the comprehensive segmentation of the report. Our bespoke research will meticulously address the business information you seek, facilitating the formulation of strategic and profitable business decision.
These insights provide a comprehensive understanding of the global Artificial Intelligence (AI) in Drug Discovery market, offering valuable guidance for businesses and investors aiming to navigate this dynamic industry landscape.
The profiled companies were meticulously selected based on insights garnered from primary experts and a comprehensive analysis of their company coverage, product portfolio, and market penetration.
IBM (Watson Health), Google (Verily Life Sciences), NVIDIA (Clara Discovery), Exscientia, BenevolentAI, Insilico Medicine, Freenome, Atomwise, Genedata, Schrodinger & Others.
Key Questions Explored in this Report:
- What is the projected growth trajectory of the global Artificial Intelligence (AI) in Drug Discovery market over the next ten years?
- What are the primary factors propelling the expansion of the Artificial Intelligence (AI) in Drug Discovery market, both globally and across distinct regions?
- Which emerging technologies are anticipated to exhibit the most rapid growth within the Artificial Intelligence (AI) in Drug Discovery market, categorized by market and region?
- How do Artificial Intelligence (AI) in Drug Discovery market opportunities vary in relation to end market size?
How does the Artificial Intelligence (AI) in Drug Discovery market break down by type and application?
