Press release
AI in Drug Discovery Market to reach USD 7104.46 Bn by 2029, emerging at a CAGR of 29.5 percent and forecast 2023-2029
AI in Drug Discovery Market, AI in Drug Discovery Market Growth,
The AI in Drug Discovery Market report by Maximize Market Research Pvt. Ltd. offers an all-encompassing analysis of the global landscape. Encompassing the years from 2022 to 2029, this report presents a comprehensive estimation of market values in USD. It deeply examines the factors propelling and hindering the market's growth trajectory across the world. The report's segmentation is meticulous, encompassing offerings, therapeutic insights, and applications. Regional perspectives shed light on innovation, mergers, acquisitions, corporate operations, and market valuations. An in-depth exploration of market structure presents a detailed analysis of major industry participants and their strategies for future growth.
This study presents an extensive overview of the market's recent developments, ongoing trends, and anticipated changes. By deciphering intricate data, the report simplifies complex patterns. The incorporation of PORTER and PESTEL analyses adds depth to the understanding, while a keen assessment of internal and external variables provides a clear glimpse into the market's future. This robust methodology ensures that stakeholders gain actionable insights for strategic decision-making, considering a broad spectrum of influencing factors.
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What are AI in Drug Discovery Market Dynamics:
In order to use Microsoft's AI algorithms on the massive datasets used in pharma, Novartis and the computer company established a multi-year strategic agreement in 2019. The businesses said that in order to produce personalised medicine and improve cell and gene therapy, they intended to apply picture analysis and generative methods. In April, Nvidia, a company that makes graphics processing units and has been stepping up its AI efforts, teamed up with Schrödinger in an effort to speed up and improve the software's ability to forecast molecules.These aforementioned factors are greatly driving the AI in Drug Discovery Market.
Exscientia is one of many businesses formed in the last ten years around AI-based approaches to drug discovery and development, many of which have lately generated significant finance.Some of them are creating instruments to speed up the discovery of potential small-molecule medication candidates. For Instance,Recursion Pharmaceuticals, raised $436 million in its IPO, producing enormous volumes of customised data on cellular behaviour in the expectation that these may be mined using AI to provide biological insights that could guide the creation of novel medications. Additionaly IT firms like IBM, Microsoft, and Google are also participating in investing and having finanvial collaboration with the pharmaceutical companies for building up AI in Drug Discovery Market.
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AI in Drug Discovery Market Regional Insights:
The regional landscape of the AI in Drug Discovery Market presents a nuanced perspective on market dynamics. As of 2022, North America took the lead, commanding over 56% of the total revenue share. This dominance can be attributed to the region's early and sustained advancements in AI technology. The United States, in particular, has been a frontrunner in AI innovation, with major tech companies leveraging AI to enhance various industries, including pharmaceuticals. Collaborations between these tech giants and esteemed institutions have accelerated medication research, design, and repurposing efforts.
The Asia Pacific region is emerging as a promising contender in the AI in Drug Discovery Market. This can be attributed to the increasing adoption of smart city concepts in countries like India and China, which has fueled technological advancements across sectors. With a growing population and a focus on innovation, the Asia Pacific region is poised to contribute significantly to the market's expansion. As these nations continue to embrace AI-driven solutions, the market's growth prospects in the Asia Pacific region appear bright.
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What is AI in Drug Discovery Market Segmentation:
by Offering
Software
Service
by Therapeutic insights
Oncology
Neurodegenerative Diseases
Cardiovascular Diseases
Metabolic Diseases
Infectious Diseases
Others
by Application
Target Selection and Validation
Drug Screening and Lead Optimization
Clinical Studies
Preclinical studies
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Who are AI in Drug Discovery Market Key Players:
1. GNS Healthcare (US)
2. BioSymetrics (US)
3. BPGbio, Inc (US)
4. Atomwise Inc (US)
5. Insitro (US)
6. NVIDIA Corporation (US)
7. IBM Corporation (US)
8. Microsoft Corporation (US)
9. Aria Pharmaceuticals, Inc. (US)
10. Insilico Medicine (US)
11. NuMedii, Inc. (US)
12. Owkin Inc. (US)
13. Schrödinger, Inc. (US)
14. DEEP GENOMICS (Canada)
15. Cyclica (Canada)
16. BenevolentAI (UK)
17. Exscientia (UK)
18. Iktos (France)
19. Euretos (Netherlands)
20. Evaxion Biotech A/S (Denmark)
21. XtalPi Inc (China)
22. Standigm (South Korea)
Table of content for the AI in Drug Discovery Market includes:
1. Global AI in Drug Discovery Market: Research Methodology
2. Global AI in Drug Discovery Market: Executive Summary
• Market Overview and Definitions
• Introduction to the Global Market
• Summary
• Key Findings
• Recommendations for Investors
• Recommendations for Market Leaders
• Recommendations for New Market Entry
3. Global AI in Drug Discovery Market: Competitive Analysis
• MMR Competition Matrix
• Market Structure by region
• Competitive Benchmarking of Key Players
• Consolidation in the Market
• M&A by region
• Key Developments by Companies
• Market Drivers
• Market Restraints
• Market Opportunities
• Market Challenges
• Market Dynamics
• PORTERS Five Forces Analysis
• PESTLE
• Regulatory Landscape by region
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
• COVID-19 Impact
4 . Company Profile: Key players
• Company Overview
• Financial Overview
• Global Presence
• Capacity Portfolio
• Business Strategy
• Recent Developments
Key Offerings:
• Past Market Size and Competitive Landscape (2022 to 2029)
• Past Pricing and price curve by region (2022 to 2029)
• Market Size, Share, Size and Forecast by different segment | 2022-2029
• Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by region
• Market Segmentation - A detailed analysis by growth and trend
• Competitive Landscape - Profiles of selected key players by region from a strategic perspective
• Competitive landscape - Market Leaders, Market Followers, Regional player
• Competitive benchmarking of key players by region
• PESTLE Analysis
• PORTER's analysis
• Value chain and supply chain analysis
• Legal Aspects of business by region
• Lucrative business opportunities with SWOT analysis
• Recommendations
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