Quick Summary:
In today's hyper-evolving technological landscape, the Global Artificial Intelligence in Drug Discovery Market continues to be a central component of progressive innovation within the healthcare and life sciences sphere. This market, which was valued at USD 870.33 million in 2022 and projected to reach USD 5.81 billion by 2030, exhibits an encouraging growth trajectory that can potentially reshape the drug discovery arena. The increasing ubiquity of Artificial Intelligence (AI) and its application in drug discovery makes this market a pivotal investment ground for forward-thinking executives.
This comprehensive research report offers an in-depth understanding of the ever-changing dynamics within this market. It provides a thorough analysis of key segments such as Services and Software offerings and the prominence of Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers and Academic & Government Institutes. Strategic insights into the significant application spheres like Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases, and Neurodegenerative Diseases help in informed decision-making. Equipped with consummate assessments and forecasts, this report is an indispensable resource for those looking to gain a competitive edge and thrive within the Global Artificial Intelligence in Drug Discovery Market.
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The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global Artificial Intelligence in Drug Discovery Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.
Market Segmentation & Coverage:
This research report categorizes the Global Artificial Intelligence in Drug Discovery Market in order to forecast the revenues and analyze trends in each of following sub-markets:- Based on Offering, the market is studied across Services and Software. The Services commanded largest market share of 55.21% in 2022, followed by Software.
- Based on Application, the market is studied across Cardiovascular Disease, Immuno-Oncology, Metabolic Diseases, and Neurodegenerative Diseases. The Immuno-Oncology commanded largest market share of 28.63% in 2022, followed by Cardiovascular Disease.
- Based on End User, the market is studied across Contract Research Organizations, Pharmaceutical & Biotechnology Companies, and Research Centers and Academic & Government Institutes. The Pharmaceutical & Biotechnology Companies commanded largest market share of 58.18% in 2022, followed by Contract Research Organizations.
- Based on Region, the market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 40.44% in 2022, followed by Europe, Middle East & Africa.
Market Statistics:
The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.FPNV Positioning Matrix:
The FPNV Positioning Matrix is essential for assessing the Global Artificial Intelligence in Drug Discovery Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).Market Share Analysis:
The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.The report provides insights on the following pointers:
- Market Penetration: Provides comprehensive information on the market offered by the key players
- Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
- Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
- Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation
- Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
- Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
- What is the market size and forecast of the Global Artificial Intelligence in Drug Discovery Market?
- What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence in Drug Discovery Market during the forecast period?
- Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence in Drug Discovery Market?
- What is the competitive strategic window for opportunities in the Global Artificial Intelligence in Drug Discovery Market?
- What are the technology trends and regulatory frameworks in the Global Artificial Intelligence in Drug Discovery Market?
- What is the market share of the leading vendors in the Global Artificial Intelligence in Drug Discovery Market?
- What modes and strategic moves are considered suitable for entering the Global Artificial Intelligence in Drug Discovery Market?
What is the estimated value of the Global Artificial Intelligence in Drug Discovery Market?
What is the growth rate of the Global Artificial Intelligence in Drug Discovery Market?
What is the forecasted size of the Global Artificial Intelligence in Drug Discovery Market?
Who are the key companies in the Global Artificial Intelligence in Drug Discovery Market?
Report Attribute | Details |
---|---|
No. of Pages | 187 |
Published | July 2023 |
Forecast Period | 2023 - 2030 |
Estimated Market Value ( USD | $ 1.08 Billion |
Forecasted Market Value ( USD | $ 5.81 Billion |
Compound Annual Growth Rate | 26.8% |
Regions Covered | Global |
No. of Companies Mentioned | 17 |
Table of Contents
Companies Mentioned
- Aria Pharmaceuticals
- Atomwise, Inc.
- BenevolentAI Limited
- BioSymetrics Inc.
- Cloud Pharmaceuticals, Inc.
- Cyclica Inc.
- Deep Genomics Incorporated
- Envisagenics, Inc.
- Exscientia
- Insitro, Inc.
- International Business Machines Corporation
- Microsoft Corporation
- Novartis AG
- NVIDIA Corporation
- Owkin, Inc.
- Verge Genomics Inc.
- XtalPi Inc.
Methodology
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