Technology-enabled Drug Discovery Research Report 2023: AI Integration into Drug Discovery Remains on an Upward Trajectory, Increasing Almost 40% as of 2022


Dublin, Aug. 08, 2023 (GLOBE NEWSWIRE) -- The "Growth Indicators for Technology-enabled Drug Discovery" report has been added to ResearchAndMarkets.com's offering.

Innovative Business Models across the TEDD Landscape Support the Emergence of AI-powered Therapeutics Providers

This report delves into the pharma industry participants and examines the primary drivers, restraints, and trends influencing the adoption of innovative technologies and platforms.

We take an in-depth exploration of the ongoing dynamics involved in technology implementation, encompassing data collection to wet labs, to facilitate a faster, more efficient, and improved drug discovery process in significantly reduced timelines.

Our analysis also sheds light on the funding landscape among key vendors and the impact of geopolitical and macro-economic factors on this scenario.

Based on ongoing industry trends, the analysis shortlists the unique business models that AI vendors in this space use to build in-house pipelines or to function as a strategic partner to pharma companies in support of their novel pipelines. In consideration of the business models and subsequent partnership models, the report benchmarks the top 5 competitors based on their proprietary pipelines (early to late stage), chemical and biological data capabilities, and ongoing partnerships.

Also, detailed profiles of emerging and start-up TEDD vendors, with a focus on target discovery, validation, candidate discovery, lead identification and optimization, and preclinical research, amongst other areas are included.

As the industry continues its innovation spree across novel small and large molecule therapies, such as RNA targeted small molecules, cell and gene therapies (CGT), and mRNA therapies, it is imperative for pharma sponsors to pursue partnerships to gain technology access, database generation and analysis, and pre-clinical and clinical research.

Furthermore, the COVID-19 pandemic led to a serious disruption in pharma innovation, with companies not only looking for novel cures but also trying to leverage or repurpose existing therapies.

As a result of so many constant changes and disruptions, the industry is transforming, taking a convergence approach in which vendors are working together across all facets of drug discovery and development. The entire drug development ecosystem is expanding, with reliance on pure-play technology vendors, AI platform providers, academia and research centers, and outsourcing vendors such as CROs that can configure AI algorithms into their pre-clinical and clinical research portfolios.

Tech-enabled drug discovery (TEDD) vendors are successfully integrating into the pharma value chain by re-establishing their role as digital biotechnology companies that develop in-house therapeutic pipelines with specific focus on oncology, rare diseases, immunology, and anti-aging.

Moreover, these TEDD vendors are focusing on both in-house capabilities (AI-powered therapeutics) and on providing platform-based and project-based partnerships with pharma players to support their therapeutic pipeline development.

AI integration into drug discovery remains on an upward trend, increasing almost 40% as of 2022, with a shift in focus from customized insights to intelligent solutions. The increasing volume and veracity of clinical and research data compels traditional providers to leverage enabling tools and technologies to provide fast, rational data-driven drug discovery solutions.

For effective drug discovery of novel molecules, companies require uninterrupted access to databases (e.g., translational, molecular, longitudinal, foundational). TEDD vendors provide access to these databases and support de novo drug design owing to their robust computational capabilities.

From data integration, analysis, and predictive modeling to real-time monitoring and quality control, AI-embedded applications across dry and wet labs can improve experimentations tied to not only cost and time efficiency, but also optimized workflows

Key Topics Covered:

1. Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative
  • The Impact of the Top 3 Strategic Imperatives on the Technology-enabled Drug Discovery (TEDD) Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine

2. Growth Opportunity Analysis

  • Scope of Analysis
  • Definitions

3. Market Dynamics

  • TEDD Market Overview
  • Key Market Challenges Impacting Drug Discovery
  • Evolving TEDD Landscape
  • TEDD Value Proposition
  • Next-generation Trends Dominating the TEDD Landscape
  • Key Drug Discovery Activities with AI-embedded Applications
  • Growth Drivers
  • Growth Restraints
  • Evolving Vendor Ecosystem

4. Market Snapshot

  • AI Vendor Focus by Drug Discovery Stage
  • Market Snapshot-Large Molecules
  • Market Snapshot-Small Molecules

5. Funding Scenario

  • Types of Funding across TEDD
  • Funding Scenario by Funding Value
  • TEDD Market Funding Outlook

6. Competitive Benchmarking

  • Key Competitors by Region
  • Market Landscape-Business Models
  • Types of Service Provider Based on Business Models
  • Key Competitors Based on Type of Service Provider
  • Competitive Benchmarking-Parameters and Rating Considerations
  • Competitive Benchmarking-Leading TEDD Vendors

7. Companies to Action-Leading TEDD Vendors

  • Vendor Spotlight-Recursion
  • Recursion-Competitive Assessment
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-AbCellera Biologics
  • AbCellera Biologics-Competitive Assessment
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Exscientia
  • Exscientia-Competitive Assessment
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Insitro
  • Insitro-Competitive Assessment
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Schrodinger, Inc.
  • Schrodinger-Competitive Assessment
  • Industry Use Case and Analyst Perspective

8. Companies to Action-Small-to-mid Segment and Emerging Vendors

  • Vendor Spotlight-Peptilogics
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Evozyne
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Iktos
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-Neumora Therapeutics
  • Industry Use Case and Analyst Perspective
  • Vendor Spotlight-BioAge Labs
  • Industry Use Case and Analyst Perspective

9. Growth Opportunity Universe

  • Growth Opportunity 1: Generative AI and Large Language Models (LLM)
  • Growth Opportunity 2: Protein/Peptide Therapeutics Development Using AI
  • Growth Opportunity 3: Foundational Models for Cell and Gene Therapy (CGT) R&D

For more information about this report visit https://www.researchandmarkets.com/r/v0od1u

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