Opportunities in the Artificial Intelligence in Drug Discovery Market Investor Report: Lucrative Short and Long-Term Gains Available in Flourishing Sector
DUBLIN, Jan. 5, 2023 /PRNewswire/ -- The "Investor Series: Opportunities in the Artificial Intelligence in Drug Discovery Market" report has been added to ResearchAndMarkets.com's offering.
Usually, a prescription drug requires at least 10 years to reach the market, and an average investment of over USD 2 billion. In addition, it is reported that the drug discovery phase accounts for about one-third of the aforementioned costs. In recent years, artificial intelligence (AI) has emerged as prominent tool, demonstrated to have the potential to address a number of existing challenges. As a result, players engaged in the pharmaceutical domain have started implementing AI based tools to better inform their drug discovery and development operations, using available chemical and biological data.
Currently, a number of AI-based techniques, including machine learning, deep learning, supervised learning, unsupervised learning and natural language processing are being used across various stages of the drug development process. Specifically, AI-based solutions are being extensively used in combination with deep learning algorithms to produce actionable insights for target identification, hit generation, as well as lead optimization. Such solutions are anticipated to increase the overall R&D productivity and reduce clinical failure of product candidates.
Moreover, estimates suggest that, in 2022, the adoption of AI-based solutions for drug discovery are likely to enable savings worth USD 8.57 billion, with market projections suggesting cost savings of USD more than 28 billion by 2035. Despite the fact that niche startups are spearheading the innovation in this domain, several big pharma players are also actively acquiring capabilities for these technologies.
Numerous tech giants, such as Google, IBM and Microsoft, have either developed their proprietary products or are offering solutions through collaborations with other industry stakeholders; for instance Google's DeepMind and IBM Watson. Even though only a few of such AI-based platforms have gone public, developers have experienced considerable growth in share value as their respective platforms / product candidates progressed through the various stages of development. Taking into consideration both the historical and contemporary scenarios, we believe that the AI-based Drug Discovery Market presents lucrative investment opportunities for both short- and long-term investors.
Scope of the Report
The "Investor Series: Opportunities in the Artificial Intelligence in Drug Discovery Market (Focus on Need for AI-based Drug Discovery, Market Landscape of Key Players, Analysis of Product Offerings and Affiliated Value Propositions, Insights from Historical Funding Activity, Startup Health Indexing, Potential Venture Opportunities, Financial Analysis of Key Public Ventures, Market Forecast and Opportunity Analysis, Insights from Publicly Disclosed Investor Exits and Key Acquisition Targets)" report provides detailed information on the AI-based Drug Discovery Market, along with a focus on drug discovery platforms, service and technology providers. It offers a technical and financial perspective on how the opportunity in this domain is likely to evolve, in terms of future business success, over the oming decade. The information in this report has been presented across multiple deliverables, featuring MS Excel sheets (some of which include interactive elements) and an MS PowerPoint deck, which summarizes the key takeaways from the project, and insights drawn from the curated data.
The report features the following details:
Key Topics Covered:
1. KEY PLAYERS AND PRODUCTS DATASET
2. FUNDING AND INVESTMENT ANALYSIS
3. POTENTIAL INVESTMENT OPPORTUNITIES
4. FUNDAMENTAL AND TECHNICAL FINANCIAL ANALYSIS
5. BUSINESS RISK ANALYSIS
6. MARKET FORECAST AND OPPORTUNITY ANALYSIS
7. RETURNS ON INVESTMENT
2. Project Approach
3. Project Objectives
4. Executive Summary
Section I: Need for AI-based Drug Discovery Market and Market Landscape
5. AI-BASED DRUG DISCOVERY MARKET
6. Market Landscape
7. Product Landscape and Company Health Indexing
8. Value Proposition Analysis
9. Company Competitiveness Analysis
Section II Analysis of Investments
10. Funding and Investments Analysis
Section III Financial Analysis and Assessment of Business Risks
11. Financial Analysis of Public Ventures
12. Business Risk Analysis
Section IV Market Forecast and Opportunity Analysis
13. Market Forecast and Opportunity Analysis
Section V Analysis of Returns on Investment, Key Acquisition Targets and Promising Investment Opportunities
14. Analysis of Returns on Investment
15. Key Acquisition Targets
16. Promising Investments Analysis
Selection of Companies Mentioned
For more information about this report visit https://www.researchandmarkets.com/r/ae7o9g
Research and Markets
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SOURCE Research and Markets