The global Artificial Intelligence in Drug Discovery Market Size was estimated at USD 3.00 billion in 2022. Fortune Business Insights predicts the market in terms of revenue is estimated to be worth USD 7.94 billion by 2030 and is poised to grow at a CAGR of 12.2% during the forecast period (2023-2030). The report covers global industry size, the latest trends, regional share, demand, recent developments and business opportunities. The report is titled, “Artificial Intelligence in Drug Discovery Market Analysis and Forecast, 2023- 2030”
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In-depth analysis focusing on the worldwide market trend, the Artificial Intelligence in Drug Discovery Market is examined until the year 2030. The report’s primary goal is to give readers a comprehensive picture of the global market, including a breakdown of the industry by product/application and geography. During the projected time, there will be a significant increase in worldwide demand. In addition to offering important trends and opportunities in the market, the research report delivers critical statistics on the competitive landscape for the Artificial Intelligence in Drug Discovery Market.
Key Topics Covered in the Artificial Intelligence in Drug Discovery Market Report:
- Comprehensive assessment of the global market
- Key aspects of the market survey
- Competitive Landscape – Key Players
- Regional Analysis – Demand, Sales and Revenue
- Opportunities in emerging economies
Factors affecting the global Artificial Intelligence in Drug Discovery Market:
- Growing Need for Cost & Time Reduction: Rising drug development costs and lengthy timelines motivate adoption of AI for efficiency gains, driving market growth.
- Unmet Medical Needs: AI’s ability to analyze vast datasets fuels the discovery of potential drugs for complex diseases with limited treatment options.
- Advancements in AI & Machine Learning: Continuous improvements in algorithms, big data processing, and computational power enhance AI’s capabilities for drug discovery.
- Focus on Personalized Medicine: AI facilitates tailoring drug discovery to individual genetic profiles and patient characteristics, creating a more targeted approach.
- Collaborations & Partnerships: Pharma companies increasingly partner with AI startups and academic institutions to leverage expertise and accelerate drug development.
Bonus Dynamics:
- Regulatory Landscape: Evolving regulations on AI-powered drug discovery could impact approval processes and adoption rates.
- Ethical Considerations: Ensuring data privacy, transparency, and fairness in AI algorithms remains crucial for ethical drug development.
- Skill Gap & Talent Acquisition: Addressing the need for skilled professionals with expertise in both AI and drug discovery is critical for sustained market growth.
- Integration with Existing Technologies: Seamless integration of AI with established drug discovery workflows ensures optimal utilization and benefits.
- Focus on Specific Disease Areas: Targeting specific therapeutic areas like oncology or neurodegenerative diseases with high unmet needs could provide niche market opportunities.
The most recent report by Fortune Business Insights identifies key opportunities for market expansion over the forecast period. In this report, market opportunities are plotted using a detailed study of the current Artificial Intelligence in Drug Discovery Market scenario, mergers & acquisitions, investments in research & development, technological developments, novel marketing strategies, and buyers’ behaviour. The key opportunities covered in the report will provide a better understanding of the global Artificial Intelligence in Drug Discovery Market and its future growth.
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List of Key Players Covered in the Report:
- Microsoft (U.S.)
- Schrödinger, Inc. (U.S.)
- Cresset (U.K.)
- IBM (U.S.)
- Atomwise Inc. (U.S.)
- Insilico Medicine (U.S.)
- Exscientia (U.K.)
- BenevolentAI (U.K.)
- Aria Pharmaceuticals, Inc. (U.S.)
- Integral BioSciences (U.S.)
- Alphabet Inc. (U.S.)
The use of the Artificial Intelligence in Drug Discovery Market report can help investors to make more informed decisions, access a wider range of investment options, and achieve their financial goals more effectively. Additionally, the market for Artificial Intelligence in Drug Discovery Market is growing rapidly, driven by factors covered in the report. As a result, the market is expected to grow in the forecasted years.
Major Points in TOC:
- Artificial Intelligence in Drug Discovery Market Overview and Scope
- Global Sales Volume and CAGR
- Total Consumption Region wise
- Latest Industry Outlook
- Artificial Intelligence in Drug Discovery Market Drivers Analysis
- Emerging Trends
- Revenue Forecast
- Current Price and Gross Margin
- Market Dynamics, Risk and Challenges
- Porter’s five forces analysis
- Key developments (mergers, Acquisitions, etc.)
- Artificial Intelligence in Drug Discovery Market Analysis, Insights and Forecast, 2030
- Global End Users and Applications
TOC Continued……………
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FAQ’s
How Big is the Artificial Intelligence in Drug Discovery Market?
The global Artificial Intelligence in Drug Discovery Market is estimated to be worth USD 7.94 billion by 2030 and is poised to grow at a CAGR of 12.2% during (2023-2030)
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